ETC lane service recommendation index analysis method

Abstract

The invention relates to the technical field of traffic control systems of road vehicles, in particular to an ETC (Electronic Toll Collection) lane service recommendation index analysis method, which comprises the following steps of: S1, acquiring toll station environment data, and processing to obtain an environment interference evaluation value of each ETC lane; s2, acquiring operation state data of ETC equipment in real time, performing comprehensive analysis according to the environment interference evaluation value to obtain an equipment state abnormity evaluation index of each ETC lane, and performing early warning feedback on the equipment according to the equipment state abnormity evaluation index of each ETC lane; s3, collecting historical operation data of ETC equipment, and processing the historical operation data to obtain an equipment stability evaluation index of each ETC lane; and S4, according to the equipment state abnormity evaluation index and the equipment stability evaluation index of each ETC lane, performing comprehensive analysis to obtain a service recommendation index of each ETC lane, and scheduling vehicles according to the service recommendation index of each ETC lane. The ETC lane service recommendation index analysis method provided by the invention is beneficial to improving the overall service level of a toll station exit.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic control systems for road vehicles, and in particular to an ETC lane service recommendation index analysis method. Background Art

[0002] With the continuous expansion of my country's expressway network and the rapid growth of the number of motor vehicles, the phenomenon of vehicle queues at the exits of expressway toll stations has become increasingly serious. This not only affects the traffic efficiency of expressways, but also increases vehicle energy consumption and environmental pollution. In order to solve this problem and improve the operation and management level of expressway toll stations, it is necessary to calculate and predict the length and waiting time of vehicle queues at toll station exits in real time.

[0003] For example, the invention patent with publication number: CN118314723A, a method and device for judging congestion at an intersection, obtains vehicle information and signal information of vehicles traveling at the current intersection, wherein the signal information includes signal information of multiple channels, and each channel corresponds to at least one lane; if the signal information of the current channel is a preset signal, at least one lane queue list corresponding to the current channel is constructed based on the vehicle information, wherein the lane queue list can reflect the queue status of each traveling vehicle in the current channel based on the vehicle information; based on at least one lane queue list, the congestion status of the current intersection is judged.

[0004] For example, the invention patent with publication number: CN117671974A is a method, system and storage medium for analyzing the queue length at an intersection. The system consists of six main parts: a real-time traffic monitoring device, a traffic data collection module, a queue detection module, a queue length calculation module, a data analysis module and a report and response module. The monitoring device is installed at each intersection to collect data on the number, type, speed and location of vehicles in real time. The queue detection module identifies and marks the queued vehicles, and the queue length calculation module calculates the queue length based on this. The data analysis module analyzes queue trends, including length, duration and changes. The report and response module generates a report and issues an alarm when the queue length exceeds a preset critical value.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application discovered that the above technology has at least the following technical problems: traditional prediction methods are often based on historical data or fixed models for prediction, which makes it difficult to accurately reflect the dynamic changes of the traffic system. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an ETC lane service recommendation index analysis method, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The present invention provides an ETC lane service recommendation index analysis method, including: S1. Collecting toll station environmental data, and obtaining the environmental interference assessment value of each ETC lane after processing.

[0008] S2. Obtain the ETC equipment operation status data in real time, and obtain the equipment status abnormality assessment index of each ETC lane through comprehensive analysis based on the environmental interference assessment value, and provide early warning feedback to the equipment based on the equipment status abnormality assessment index of each ETC lane.

[0009] S3. Collect the historical operation data of ETC equipment and obtain the equipment stability evaluation index of each ETC lane after processing.

[0010] S4. Based on the equipment status abnormality evaluation index and equipment stability evaluation index of each ETC lane, a comprehensive analysis is performed to obtain the service recommendation index of each ETC lane, and vehicles are dispatched based on the service recommendation index of each ETC lane.

[0011] As a further method, the environmental interference assessment value of each ETC lane is obtained through processing. The specific process is: the toll station environmental data includes: the temperature of each environmental monitoring point of each ETC lane, the concentration of each corrosive gas, environmental visibility, noise level and electromagnetic interference intensity.

[0012] The reference standard temperature, allowable deviation temperature, critical corrosive gas concentration, critical environmental visibility, critical noise level and critical electromagnetic interference intensity are extracted from the ETC system database.

[0013] Based on the toll station environmental data, a comprehensive analysis is conducted to obtain the environmental interference assessment value of each ETC lane. The environmental interference assessment value of each ETC lane is used to quantitatively assess the degree of interference of the abnormal environment of each ETC lane on the operation of the ETC equipment, providing a basis for assessing whether the equipment status is abnormal.

[0014] As a further method, the comprehensive analysis obtains the equipment status abnormality assessment index of each ETC lane. The specific analysis process is: the ETC equipment operating status data includes: equipment voltage, equipment temperature, equipment communication delay, equipment interruption frequency and number of abnormal equipment transactions within a preset monitoring period.

[0015] The equipment standard temperature, equipment rated voltage, critical equipment communication delay, critical equipment interruption frequency, critical equipment abnormal transaction times, allowable deviation equipment temperature and allowable deviation voltage are extracted from the ETC system database.

[0016] Based on the ETC equipment operation status data and the environmental interference assessment value, a comprehensive analysis is performed to obtain the equipment status abnormality assessment index of each ETC lane. The equipment status abnormality assessment index of each ETC lane is used to quantitatively assess the degree of abnormality of the equipment status of each ETC lane, providing a basis for equipment risk warning.

[0017] As a further method, the environmental interference assessment value of each ETC lane is obtained after processing. The specific process is: according to the equipment status abnormality assessment index of each ETC lane, early warning feedback is given to the equipment. The specific early warning process is: extracting the equipment status abnormality assessment index threshold from the ETC system database, comparing the equipment status abnormality assessment index of each ETC lane with the equipment status abnormality assessment index threshold, if the equipment status abnormality assessment index of an ETC lane is higher than or equal to the equipment status abnormality assessment index threshold, then the equipment status of the ETC lane is marked as abnormal and early warning feedback is given; if the equipment status abnormality assessment index of an ETC lane is lower than the equipment status abnormality assessment index threshold, then the equipment status of the ETC lane is marked as normal and displayed and output.

[0018] As a further method, the comprehensive analysis obtains the equipment status abnormality evaluation index of each ETC lane. The specific analysis process is: the historical operation data of the ETC equipment, specifically including: equipment failure rate within a preset historical period, equipment mean time between failures and equipment failure recovery time.

[0019] As a further method, the equipment stability evaluation index of each ETC lane is obtained through processing, and the specific process is: extracting the critical equipment failure rate, critical equipment mean time between failures and critical equipment failure recovery time from the ETC system database.

[0020] Based on the historical operation data of the ETC equipment, comprehensive processing is performed to obtain the equipment stability evaluation index of each ETC lane. The equipment stability evaluation index of each ETC lane is used to quantitatively evaluate the stability of the equipment of each ETC lane, providing a basis for evaluating the service capacity of each ETC lane.

[0021] As a further method, the comprehensive analysis obtains the service recommendation index of each ETC lane. The specific analysis process is: based on the equipment status abnormality evaluation index and the equipment stability evaluation index of each ETC lane, a comprehensive analysis is performed to obtain the service recommendation index of each ETC lane. The service recommendation index of each ETC lane is used to quantitatively evaluate the comprehensive service capability of each ETC lane and provide a basis for vehicle scheduling.

[0022] As a further method, the vehicles are dispatched according to the service recommendation index of each ETC lane. The specific dispatching process is: sorting the service recommendation index of each ETC lane in descending order to obtain a service recommendation index sequence.

[0023] Vehicles are classified according to vehicle type (including small, medium and large cars, small, medium and large trucks) and need (whether fast passage is required).

[0024] According to the service recommendation index sequence, the lanes with the highest service recommendation index are allocated to small vehicles with the highest demand priority, and the lanes with the lowest service recommendation index are allocated to large vehicles with the lowest demand priority.

[0025] As a further method, the specific numerical expression of the abnormal equipment status evaluation index of each ETC lane is:

[0026]

[0027] In the formula, SB r represents the abnormal equipment status evaluation index of the rth ETC lane, e represents a natural constant, and HJ r represents the environmental interference assessment value of the rth ETC lane, W r (t) represents the temperature of the equipment in the rth ETC lane at time t, Y r (t) represents the voltage of the equipment in the rth ETC lane at time t, YC r (t) represents the communication delay of the equipment in the rth ETC lane at time t, ZP r (t) represents the interruption frequency of the equipment in the rth ETC lane at time t, JY r (t) represents the number of abnormal transactions of the equipment in the rth ETC lane at time t, W 0 Indicates the standard temperature of the equipment, Y 0 Indicates the rated voltage of the device. Indicates critical device communication delay, Indicates the interruption frequency of critical equipment, represents the number of critical equipment abnormal transactions, ΔW represents the allowable deviation equipment temperature, ΔY represents the allowable deviation voltage, ε1 represents the equipment state abnormal impact factor corresponding to the preset equipment temperature, ε2 represents the equipment state abnormal impact factor corresponding to the preset equipment voltage, ε3 represents the equipment state abnormal impact factor corresponding to the preset equipment communication delay, ε4 represents the equipment state abnormal impact factor corresponding to the preset equipment interruption frequency, ε5 represents the equipment state abnormal impact factor corresponding to the preset number of equipment abnormal transactions, and ε6 represents the equipment state abnormal impact factor corresponding to the preset environmental interference assessment value.

[0028] As a further method, the specific numerical expression of the service recommendation index of each ETC lane is:

[0029]

[0030] In the formula, represents the service recommendation index of the rth ETC lane, SB r represents the abnormal equipment status evaluation index of the rth ETC lane, WD r represents the equipment stability evaluation index of the rth ETC lane, Indicates the lane service recommendation index correction factor corresponding to the preset equipment status abnormality evaluation index. Indicates the lane service recommendation index correction factor corresponding to the preset equipment stability evaluation index.

[0031] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0032] (1) The present invention provides an ETC lane service recommendation index analysis method, which comprehensively considers the abnormal equipment status and equipment stability of the ETC lane, and can more accurately evaluate the actual service capacity of the ETC lane, thereby improving the accuracy and practicality of the service recommendation index, which is conducive to improving the overall service level. At the same time, it can also help decision makers formulate more effective strategies.

[0033] (2) The present invention can predict possible failures and maintenance requirements of ETC equipment by monitoring and analyzing temperature, corrosive gas concentration, environmental visibility, noise level and electromagnetic interference intensity, so as to take measures in advance to reduce failure rate and maintenance costs. It can also ensure that ETC equipment can operate stably under various environmental conditions, which helps to improve the safety and efficiency of highway traffic.

[0034] (3) The present invention can more comprehensively predict possible equipment failures by comprehensively analyzing equipment voltage, temperature, communication delay, interruption frequency, and number of abnormal transactions, thereby implementing preventive maintenance and reducing sudden failures and downtime. It can also help quickly locate the root cause of the problem and improve the accuracy of fault diagnosis. At the same time, it also helps to optimize equipment configuration and working environment, improve overall system performance, and thus extend the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0036] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0037] Figure 2 A schematic diagram of the functional relationship between the equipment status abnormality assessment index and the service recommendation index of the ETC lane involved in an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0039] Reference Figure 1 As shown, the present invention provides an ETC lane service recommendation index analysis method, including: S1. collecting toll station environmental data, and obtaining the environmental interference evaluation value of each ETC lane after processing.

[0040] It needs to be explained that ETC refers to the Electronic Toll Collection system, which is a system used for automatic toll collection on highways or bridges. Through the communication between the on-board unit (OBU, On-Board Unit) installed on the vehicle and the microwave antenna on the ETC gantry beside the road, the vehicle can automatically complete the payment without stopping when passing through the toll station.

[0041] Specifically, the environmental interference assessment value of each ETC lane is obtained after processing, and the specific process is: the toll station environmental data includes: the temperature of each environmental monitoring point of each ETC lane, the concentration of each corrosive gas, environmental visibility, noise level and electromagnetic interference intensity.

[0042] It should be explained that in this embodiment, by installing temperature sensors, portable gas detectors, visibility meters, sound level meters and electromagnetic radiation detectors at environmental monitoring points, the temperature, concentration of each corrosive gas, environmental visibility, noise level and electromagnetic interference intensity of each environmental monitoring point can be monitored in real time. Environmental visibility specifically refers to the concentration of fine particulate matter (PM2.5) and inhalable particulate matter (PM10) in the air.

[0043] It should be added that the corrosive gases include sulfur dioxide, hydrogen chloride, nitrogen oxides and ammonia. Sulfur dioxide mainly comes from the combustion of fossil fuels, especially coal. It can react with water vapor to form sulfuric acid, which has a strong corrosive effect on metals and building materials. Nitrogen oxides include nitrogen monoxide and nitrogen dioxide, which mainly come from automobile exhaust and industrial emissions. They can react with water vapor to form nitric acid, which corrodes metals and concrete structures. Hydrogen chloride mainly comes from industrial emissions, such as chemical production processes. It can react with water vapor to form hydrochloric acid, which has a strong corrosive effect on metals. Ammonia mainly comes from agricultural activities, industrial emissions, etc., and it has a corrosive effect on metals such as copper.

[0044] The reference standard temperature, allowable deviation temperature, critical corrosive gas concentration, critical environmental visibility, critical noise level and critical electromagnetic interference intensity are extracted from the ETC system database.

[0045] Based on the toll station environmental data, a comprehensive analysis is conducted to obtain the environmental interference assessment value of each ETC lane. The environmental interference assessment value of each ETC lane is used to quantitatively assess the degree of interference of the abnormal environment of each ETC lane on the operation of the ETC equipment, providing a basis for assessing whether the equipment status is abnormal.

[0046] In a specific embodiment, the numerical expression of the environmental interference evaluation value of each ETC lane is:

[0047]

[0048] In the formula, HJ r represents the environmental interference assessment value of the rth ETC lane, q represents the number of each environmental monitoring point, q = 1, 2, 3, ..., d, d represents the total number of environmental monitoring points, t represents the time variable, t∈[t0, t1], t1 represents the current time point, t0 represents the monitoring start time point, τX rq (t) represents the temperature of the qth environmental monitoring point of the rth ETC lane at time t, τZ rq (t) represents the environmental visibility of the qth environmental monitoring point of the rth ETC lane at time t, y represents the number of each corrosive gas, y = 1, 2, 3, ..., k, k represents the total number of corrosive gases, τR rq-y (t) represents the yth corrosive gas concentration at the qth environmental monitoring point of the rth ETC lane at time t, τS rq (t) represents the noise level of the qth environmental monitoring point of the rth ETC lane at time t, τD rq (t) represents the electromagnetic interference intensity of the qth environmental monitoring point of the rth ETC lane at time t, τX 0 represents the reference standard temperature, ΔτX represents the allowable deviation temperature, Indicates the critical corrosive gas concentration, represents the critical environment visibility, represents the critical noise level, represents the critical electromagnetic interference intensity, μ1 represents the environmental interference impact characteristic factor corresponding to the preset temperature, μ2 represents the environmental interference impact characteristic factor corresponding to the preset corrosive gas concentration, μ3 represents the environmental interference impact characteristic factor corresponding to the preset environmental visibility, μ4 ​​represents the environmental interference impact characteristic factor corresponding to the preset noise level, and μ5 represents the environmental interference impact characteristic factor corresponding to the preset electromagnetic interference intensity.

[0049] It needs to be explained that when the absolute difference between the temperature and the reference standard temperature is greater, the concentration of corrosive gases, the noise level and the electromagnetic interference intensity are greater, and the environmental visibility is lower, the corresponding environmental interference assessment value is greater, indicating that the abnormal environment of the ETC lane has a greater degree of interference with the operation of the ETC equipment.

[0050] It should be explained that in this embodiment, μ1 represents the environmental interference influence characteristic factor corresponding to the preset temperature, μ2 represents the environmental interference influence characteristic factor corresponding to the preset corrosive gas concentration, μ3 represents the environmental interference influence characteristic factor corresponding to the preset environmental visibility, μ4 ​​represents the environmental interference influence characteristic factor corresponding to the preset noise level, and μ5 represents the environmental interference influence characteristic factor corresponding to the preset electromagnetic interference intensity. The values ​​of these influence characteristic factors respectively represent the degree of interference of the temperature, corrosive gas concentration, environmental visibility, noise level and electromagnetic interference intensity unit values ​​on the operation of the ETC device. When used, these influence characteristic factors can be directly obtained from the ETC system database. The values ​​of these influence characteristic factors are preset in the ETC system database. For example, the temperature, corrosive gas concentration, environmental visibility, noise level and electromagnetic interference intensity form a mapping set with the influence characteristic factors preset in the ETC system database. The real-time temperature, corrosive gas concentration, environmental visibility, noise level and electromagnetic interference intensity are input into the mapping set to obtain the corresponding environmental interference influence characteristic factor. These mapping relationships can be one-to-one or many-to-one. The value range of all impact characteristic factors is between 0 and 1, representing the degree from no impact to maximum impact.

[0051] It should be explained that temperatures higher than the reference standard may cause the equipment to overheat, reduce performance or accelerate aging, while temperatures lower than the reference standard may cause the equipment to respond slowly or fail to function. Temperature changes may also affect the activity of corrosive gases, thereby affecting the corrosion rate. Corrosive gases react chemically with metal and electronic components in ETC equipment, causing corrosion and damage. Increased temperature may accelerate these corrosion processes. Environments far below the critical environmental visibility (such as fog, haze, etc.) may affect the operation of cameras and sensing equipment on ETC lanes, reducing recognition rates and system efficiency. Low visibility is often associated with high humidity and high corrosive gas concentrations, which may work together on ETC equipment. Noise far above the critical noise level may interfere with the communication system of ETC equipment, especially wireless communication equipment. Electromagnetic interference (EMI) may affect the electronic components of ETC equipment, resulting in data transmission errors or equipment failure.

[0052] It should be explained that this embodiment can predict possible failures and maintenance requirements of ETC equipment by monitoring and analyzing temperature, corrosive gas concentration, environmental visibility, noise level and electromagnetic interference intensity, so as to take measures in advance to reduce failure rate and maintenance costs. It can also ensure that ETC equipment can operate stably under various environmental conditions, which helps to improve the safety and efficiency of highway traffic. Through in-depth analysis, it is also beneficial to optimize the design and operation of the ETC system.

[0053] S2. Obtain the ETC equipment operation status data in real time, and obtain the equipment status abnormality assessment index of each ETC lane through comprehensive analysis based on the environmental interference assessment value, and provide early warning feedback to the equipment based on the equipment status abnormality assessment index of each ETC lane.

[0054] Specifically, the ETC equipment operating status data includes: equipment voltage, equipment temperature, equipment communication delay, equipment interruption frequency and number of abnormal equipment transactions within a preset monitoring period.

[0055] It should be explained that in this embodiment, the device communication delay refers to the time it takes for data to be sent and received. The number of abnormal transactions refers to the number of abnormal transactions that occurred within a preset monitoring period, such as transaction failures, data errors, or repeated charges. The device interruption frequency refers to the number of device interruptions within a preset monitoring period.

[0056] It is necessary to explain that the voltage and temperature of the device can be measured in real time using the voltage sensor and temperature sensor installed inside the ETC device. The communication delay can be measured using network diagnostic tools such as ping test or traceroute. The device interruption frequency and the number of abnormal transactions of the device can be obtained by querying the log records of the monitoring center of the ETC system.

[0057] Furthermore, a comprehensive analysis is conducted to obtain the equipment status abnormality assessment index of each ETC lane. The specific analysis process is as follows: extracting the equipment standard temperature, equipment rated voltage, critical equipment communication delay, critical equipment interruption frequency, critical equipment abnormal transaction times, allowable deviation equipment temperature and allowable deviation voltage from the ETC system database.

[0058] Based on the ETC equipment operation status data and the environmental interference assessment value, a comprehensive analysis is performed to obtain the equipment status abnormality assessment index of each ETC lane. The equipment status abnormality assessment index of each ETC lane is used to quantitatively assess the degree of abnormality of the equipment status of each ETC lane, providing a basis for equipment risk warning.

[0059] In a specific embodiment, the numerical expression of the equipment status abnormality evaluation index of each ETC lane is:

[0060]

[0061] In the formula, SB r represents the abnormal equipment status evaluation index of the rth ETC lane, e represents a natural constant, and HJ r represents the environmental interference assessment value of the rth ETC lane, W r (t) represents the temperature of the equipment in the rth ETC lane at time t, Y r (t) represents the voltage of the equipment in the rth ETC lane at time t, YC r (t) represents the communication delay of the equipment in the rth ETC lane at time t, ZP r (t) represents the interruption frequency of the equipment in the rth ETC lane at time t, JY r (t) represents the number of abnormal transactions of the equipment in the rth ETC lane at time t, W 0 Indicates the standard temperature of the equipment, Y 0 Indicates the rated voltage of the device. Indicates critical device communication delay, Indicates the interruption frequency of critical equipment, represents the number of critical equipment abnormal transactions, ΔW represents the allowable deviation equipment temperature, ΔY represents the allowable deviation voltage, ε1 represents the equipment state abnormal impact factor corresponding to the preset equipment temperature, ε2 represents the equipment state abnormal impact factor corresponding to the preset equipment voltage, ε3 represents the equipment state abnormal impact factor corresponding to the preset equipment communication delay, ε4 represents the equipment state abnormal impact factor corresponding to the preset equipment interruption frequency, ε5 represents the equipment state abnormal impact factor corresponding to the preset number of equipment abnormal transactions, and ε6 represents the equipment state abnormal impact factor corresponding to the preset environmental interference assessment value.

[0062] It needs to be explained that when the absolute difference between the equipment temperature and voltage and the reference standard temperature and rated voltage is greater, the equipment communication delay, equipment interruption frequency, equipment abnormal transaction times and environmental interference assessment value are also greater, the corresponding equipment status abnormality assessment index is greater, indicating that the degree of abnormality of the equipment status of the ETC lane is greater.

[0063] It should be explained that, in this embodiment, ε1 represents the abnormal device state impact factor corresponding to the preset device temperature, ε2 represents the abnormal device state impact factor corresponding to the preset device voltage, ε3 represents the abnormal device state impact factor corresponding to the preset device communication delay, ε4 represents the abnormal device state impact factor corresponding to the preset device interruption frequency, ε5 represents the abnormal device state impact factor corresponding to the preset number of abnormal device transactions, ε6 represents the abnormal device state impact factor corresponding to the preset environmental interference evaluation value, and the values ​​of these impact factors respectively represent the degree of influence of the device temperature, device voltage, device communication delay, device interruption frequency, abnormal device transaction number and environmental interference evaluation value unit value on the abnormal state of the ETC device. When used, these impact factors can be directly obtained from the ETC system database. The values ​​of these impact factors are preset in the ETC system database. For example, the device temperature, device voltage, device communication delay, device interruption frequency, abnormal device transaction number and environmental interference evaluation value are respectively mapped with the preset impact factors in the ETC system database. The real-time device temperature, device voltage, device communication delay, device interruption frequency, abnormal device transaction number and environmental interference evaluation value are input into the mapping set to obtain the corresponding abnormal device state impact factor. These mapping relationships can be one-to-one or many-to-one. The value range of all impact factors is between 0 and 1, indicating the degree of impact from no impact to maximum impact.

[0064] It should be explained that in this embodiment, unstable voltage of the device may cause the temperature of the device to rise. If the voltage is much higher than the rated voltage, it may cause the device components to overheat; if the voltage is much lower than the rated voltage, the device may require a larger current to maintain operation, which may also cause the temperature to rise. Unstable voltage may cause the communication module to work abnormally, thereby increasing communication delay. Voltage fluctuations may also cause frequent interruptions of the device, because unstable voltage may cause the device to restart or communication failure. Voltage problems may cause data processing errors, thereby increasing the number of abnormal transactions. The temperature of the device is much higher than the reference standard temperature, which may cause the performance of the communication module to deteriorate and increase communication delays. It may also cause the overheating protection mechanism of the device to start, causing temporary interruption of the device. It may also cause internal circuit failures of the device, increasing the occurrence of abnormal transactions. Communication delays may also cause data transmission failures, thereby increasing the interruption frequency. Communication delays may cause transaction timeouts or data errors, increasing the number of abnormal transactions. Frequent interruptions of the device may cause transactions to fail to complete or complete errors, thereby increasing the number of abnormal transactions.

[0065] It needs to be explained that if the equipment works at abnormal temperature for a long time, it will accelerate aging and reduce the life of the equipment. Communication delay far higher than the critical delay will affect the transaction speed and user experience. Frequent interruptions will seriously affect the stability and reliability of the ETC system. Abnormal transactions will affect user trust and satisfaction. The increase of abnormal transactions will reduce the accuracy and reliability of the system and may lead to economic losses.

[0066] It should be explained that this embodiment can more comprehensively predict possible equipment failures by comprehensively analyzing equipment voltage, equipment temperature, equipment communication delay, equipment interruption frequency, and equipment abnormal transaction times, thereby implementing preventive maintenance and reducing sudden failures and downtime. It can also help to quickly locate the root cause of the problem and improve the accuracy of fault diagnosis. At the same time, understanding the relationship between various parameters helps to optimize equipment configuration and working environment, improve overall system performance, and thus extend equipment life. Reducing the occurrence of equipment abnormalities can also improve the service quality of the ETC system and enhance user satisfaction and trust.

[0067] Furthermore, early warning feedback is given to the equipment according to the abnormal equipment status evaluation index of each ETC lane. The specific early warning process is: the equipment status abnormality evaluation index threshold is extracted from the ETC system database, and the equipment status abnormality evaluation index of each ETC lane is compared with the equipment status abnormality evaluation index threshold. If the equipment status abnormality evaluation index of an ETC lane is higher than or equal to the equipment status abnormality evaluation index threshold, the equipment status of the ETC lane is marked as abnormal and early warning feedback is given; if the equipment status abnormality evaluation index of an ETC lane is lower than the equipment status abnormality evaluation index threshold, the equipment status of the ETC lane is marked as normal and displayed and output.

[0068] In a specific embodiment, the warning feedback process is as follows: U1. The system automatically generates warning information, including the number, location, abnormal evaluation index value, abnormal type, etc. of the abnormal ETC lane.

[0069] U2. Notify relevant maintenance personnel and management personnel of the warning information via SMS, email, internal system messages or mobile application push.

[0070] U3. Trigger a sound alarm in the monitoring center to alert the on-duty personnel.

[0071] U4. On the monitoring interface, abnormal ETC lanes are highlighted with red marks.

[0072] U5. Maintenance personnel conduct on-site inspection or remote diagnosis based on the early warning information.

[0073] U6. Repair or replace abnormal equipment to ensure the normal operation of the ETC system.

[0074] U7. After maintenance is completed, the processing results will be fed back to the system and the equipment status will be updated.

[0075] S3. Collect the historical operation data of ETC equipment and obtain the equipment stability evaluation index of each ETC lane after processing.

[0076] Specifically, the ETC equipment historical operation data includes: equipment failure rate, equipment mean time between failures and equipment failure recovery time within a preset historical period.

[0077] It should be explained that the equipment failure rate refers to the number of equipment failures within a preset historical period. The average time between equipment failures refers to the average time after which the equipment fails. The failure recovery time refers to the time required for the equipment to resume normal operation after a failure.

[0078] It should be added that the number of equipment failures within a preset historical period can be recorded through the log and report functions of the monitoring system. The average time between equipment failures = total operating time / number of failures. The time of each failure and the time of repair are recorded through the event management system, and then the average value is calculated. Failure recovery time = total failure recovery time / number of failures.

[0079] Furthermore, the equipment stability evaluation index of each ETC lane is obtained through processing. The specific process is as follows: the critical equipment failure rate, critical equipment mean time between failures and critical equipment failure recovery time are extracted from the ETC system database.

[0080] Based on the historical operation data of the ETC equipment, comprehensive processing is performed to obtain the equipment stability evaluation index of each ETC lane. The equipment stability evaluation index of each ETC lane is used to quantitatively evaluate the stability of the equipment of each ETC lane, providing a basis for evaluating the service capacity of each ETC lane.

[0081] In a specific embodiment, the numerical expression of the equipment stability evaluation index of each ETC lane is:

[0082]

[0083] Where, WD r represents the equipment stability evaluation index of the rth ETC lane, GL r represents the failure rate of the equipment in the rth ETC lane within the preset historical period, GT r The average time between failures of the equipment in the rth ETC lane within the preset historical period, HTr The failure recovery time of the equipment in the rth ETC lane within the preset historical period, ΔGL represents the critical equipment failure rate, ΔGT represents the mean time between failures of critical equipment, ΔHT represents the failure recovery time of critical equipment, ρ1 represents the equipment stability correction factor corresponding to the preset equipment failure rate, ρ2 represents the equipment stability correction factor corresponding to the preset mean time between failures of equipment, and ρ3 represents the equipment stability correction factor corresponding to the preset equipment failure recovery time.

[0084] It needs to be explained that when the equipment failure rate and fault recovery time are greater and the equipment mean failure-free time is shorter, the corresponding equipment stability evaluation index is smaller, indicating that the stability of the ETC lane equipment is lower.

[0085] It should be explained that, in this embodiment, ρ1 represents the equipment stability correction factor corresponding to the preset equipment failure rate, ρ2 represents the equipment stability correction factor corresponding to the preset equipment mean time between failures, and ρ3 represents the equipment stability correction factor corresponding to the preset equipment failure recovery time. The values ​​of these correction factors respectively represent the degree of influence of the unit values ​​of the equipment failure rate, the equipment mean time between failures, and the equipment failure recovery time on the stability of the ETC lane equipment. When used, these correction factors can be directly obtained from the ETC system database. The values ​​of these correction factors are preset in the ETC system database. For example, the equipment failure rate, the equipment mean time between failures, and the equipment failure recovery time form a mapping set with the correction factors preset in the ETC system database. The real-time equipment failure rate, the equipment mean time between failures, and the equipment failure recovery time are input into the mapping set to obtain the corresponding equipment stability correction factor. These mapping relationships can be one-to-one or many-to-one. The value range of all correction factors is between 0 and 1, indicating the degree from no influence to maximum influence.

[0086] It should be explained that this embodiment not only helps to ensure the stable operation of the system by comprehensively evaluating the equipment failure rate, mean time between failures and fault recovery time, but also improves operational efficiency, reduces costs, improves user satisfaction, and provides data support for future system upgrades and optimizations. By monitoring the failure rate, potential problems of the equipment can be discovered in a timely manner, and measures can be taken to prevent future failures, thereby improving the overall reliability of the ETC lane. At the same time, a comprehensive analysis of these parameters helps to formulate a more scientific maintenance plan. For example, for equipment with a low mean time between failures, the frequency of preventive maintenance can be increased. Understanding the fault recovery time can help the maintenance team optimize the maintenance process, reduce the fault handling time, and reduce the impact on lane services. Stable ETC lane equipment can provide a smooth travel experience, reduce delays caused by equipment failures, and improve user satisfaction. Comprehensive analysis of these parameters also helps to identify and manage the operational risks of the ETC lane and formulate emergency plans for possible failures. For equipment with a high failure rate, spare parts and repair tools can be prepared in advance to speed up the recovery of failures. It can also provide a basis for future equipment upgrades and technical improvements.

[0087] S4. Based on the equipment status abnormality evaluation index and equipment stability evaluation index of each ETC lane, a comprehensive analysis is performed to obtain the service recommendation index of each ETC lane, and vehicles are dispatched based on the service recommendation index of each ETC lane.

[0088] Specifically, a comprehensive analysis is performed to obtain a service recommendation index for each ETC lane. The specific analysis process is as follows: based on the equipment status abnormality assessment index and the equipment stability assessment index of each ETC lane, a comprehensive analysis is performed to obtain a service recommendation index for each ETC lane. The service recommendation index for each ETC lane is used to quantitatively evaluate the comprehensive service capabilities of each ETC lane, providing a basis for vehicle scheduling.

[0089] In a specific embodiment, the numerical expression of each ETC lane service recommendation index is:

[0090]

[0091] In the formula, represents the service recommendation index of the rth ETC lane, SB r represents the abnormal equipment status evaluation index of the rth ETC lane, WD r represents the equipment stability evaluation index of the rth ETC lane, Indicates the lane service recommendation index correction factor corresponding to the preset equipment status abnormality evaluation index. Indicates the lane service recommendation index correction factor corresponding to the preset equipment stability evaluation index.

[0092] It needs to be explained that when the equipment stability evaluation index is smaller and the equipment status abnormality evaluation index is larger, the corresponding lane service recommendation index is smaller, indicating that the comprehensive service capability of the ETC lane is worse.

[0093] It should be explained that in this embodiment Indicates the lane service recommendation index correction factor corresponding to the preset equipment status abnormality evaluation index. Represents the lane service recommendation index correction factor corresponding to the preset equipment stability assessment index. The values ​​of these correction factors respectively represent the degree of influence of the equipment state abnormality assessment index and the equipment stability assessment index unit value on the ETC lane service recommendation index. When in use, these correction factors can be directly obtained from the ETC system database. The values ​​of these correction factors are preset in the ETC system database. For example, the equipment state abnormality assessment index and the equipment stability assessment index form a mapping set with the correction factors preset in the ETC system database respectively. Input the real-time equipment state abnormality assessment index and the equipment stability assessment index into the mapping set to obtain the corresponding lane service recommendation index correction factor. These mapping relationships can be one-to-one or many-to-one. The value range of all correction factors is between 0 and 1, indicating the degree from no influence to maximum influence.

[0094] like Figure 2 As shown, curve a represents the relationship between the equipment state abnormality evaluation index and the service recommendation index of the corresponding ETC lane when the equipment stability evaluation index of the ETC lane is 1.23, curve b represents the relationship between the equipment state abnormality evaluation index and the service recommendation index of the corresponding ETC lane when the equipment stability evaluation index of the ETC lane is 2.68, and curve c represents the relationship between the equipment state abnormality evaluation index and the service recommendation index of the corresponding ETC lane when the equipment stability evaluation index of the ETC lane is 3.84.

[0095] It should be explained that, in this embodiment, the lane service recommendation index correction factor corresponding to the equipment status abnormality evaluation index is set to 0.5, and the lane service recommendation index correction factor corresponding to the equipment stability evaluation index is set to 0.3.

[0096] It should be explained that, in this embodiment, when the abnormal evaluation index of the device state is low, it usually means that the stability evaluation index of the device is high, that is, the device runs stably and the failure rate is low. On the contrary, a high abnormal evaluation index may indicate poor device stability.

[0097] It should be explained that this embodiment can more accurately evaluate the actual service capacity of the ETC lane by comprehensively considering the abnormal equipment status and equipment stability of the ETC lane, thereby improving the accuracy and practicality of the service recommendation index. Through real-time monitoring and adjustment, lane congestion and equipment problems can also be discovered and resolved in a timely manner to improve the overall service level. At the same time, it can also help decision makers develop more effective strategies, such as dynamically adjusting the number of lanes open and guiding vehicles to divert reasonably.

[0098] Furthermore, vehicles are dispatched according to the service recommendation index of each ETC lane. The specific dispatching process is: sorting the service recommendation index of each ETC lane in descending order to obtain a service recommendation index sequence.

[0099] Vehicles are classified according to vehicle type (including small, medium and large cars, small, medium and large trucks) and need (whether fast passage is required).

[0100] According to the service recommendation index sequence, the lanes with the highest service recommendation index are allocated to small vehicles with the highest demand priority, and the lanes with the lowest service recommendation index are allocated to large vehicles with the lowest demand priority.

[0101] In a specific embodiment, the specific scheduling steps are: R1. When the vehicle approaches the ETC entrance, guide the vehicle into the corresponding lane with a higher service recommendation index through an electronic information board or an indication sign.

[0102] R2. Monitor the vehicle flow and service recommendation index changes of each lane in real time, and dynamically adjust the vehicle allocation strategy.

[0103] R3. Vehicles with special needs or emergencies can be adjusted to the lane with the highest service recommendation index based on their priority.

[0104] R4. Vehicles waiting to enter the ETC lanes will be queued up according to the service recommendation index sequence to ensure that lanes with high recommendation indexes have priority.

[0105] R5. Adjust the service recommendation index and scheduling strategy based on actual traffic conditions and vehicle feedback.

[0106] In a specific embodiment, the ETC system database is used to store relevant data in the process of evaluating the service capacity of the ETC lane, including the lane service recommendation index correction factor corresponding to the expected queuing time, the lane service recommendation index correction factor corresponding to the expected queuing length, the lane service recommendation index correction factor corresponding to the equipment state abnormality evaluation index and the equipment state abnormality evaluation index threshold value, as well as the data extracted from the ETC system database in the above embodiment, and the vehicle passing time, speed, vehicle spacing and other information can be collected by installing vehicle detectors in the ETC lane. The camera can be used to monitor the traffic flow and lane usage, and can provide visual evidence when equipment failure occurs. The induction coil can be used to detect the passage of vehicles and calculate the traffic flow and lane occupancy. Transaction data can also be collected by the ETC gantry system. The equipment in the ETC system performs self-inspections regularly and generates status reports. The operating status and possible fault information of the equipment can also be collected through the remote diagnosis system.

[0107] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A method for analyzing an ETC lane service recommendation index, characterized in that: include: S1. Collect environmental data from toll stations and obtain environmental interference assessment values ​​for each ETC lane after processing; S2. Obtain the ETC equipment operation status data in real time, and obtain the abnormal equipment status evaluation index of each ETC lane through comprehensive analysis based on the environmental interference evaluation value, and provide early warning feedback to the equipment based on the abnormal equipment status evaluation index of each ETC lane; S3. Collect historical operation data of ETC equipment and obtain the equipment stability evaluation index of each ETC lane after processing; S4. Based on the equipment status abnormality evaluation index and equipment stability evaluation index of each ETC lane, a comprehensive analysis is performed to obtain the service recommendation index of each ETC lane, and vehicles are dispatched based on the service recommendation index of each ETC lane.

2. The ETC lane service recommendation index analysis method according to claim 1, characterized in that: The environmental interference evaluation value of each ETC lane is obtained through processing, and the specific process is as follows: The toll station environmental data includes: the temperature of each environmental monitoring point of each ETC lane, the concentration of each corrosive gas, environmental visibility, noise level and electromagnetic interference intensity; Extract reference standard temperature, allowable deviation temperature, critical corrosive gas concentration, critical environmental visibility, critical noise level and critical electromagnetic interference intensity from the ETC system database; Based on the toll station environmental data, a comprehensive analysis is conducted to obtain the environmental interference assessment value of each ETC lane. The environmental interference assessment value of each ETC lane is used to quantitatively assess the degree of interference of the abnormal environment of each ETC lane on the operation of the ETC equipment, providing a basis for assessing whether the equipment status is abnormal.

3. The ETC lane service recommendation index analysis method according to claim 2, characterized in that: The comprehensive analysis obtains the abnormal equipment status evaluation index of each ETC lane. The specific analysis process is as follows: The ETC equipment operation status data includes: equipment voltage, equipment temperature, equipment communication delay, equipment interruption frequency and number of abnormal equipment transactions within a preset monitoring period; Extract equipment standard temperature, equipment rated voltage, critical equipment communication delay, critical equipment interruption frequency, critical equipment abnormal transaction times, allowable deviation equipment temperature and allowable deviation voltage from the ETC system database; Based on the ETC equipment operation status data and the environmental interference assessment value, a comprehensive analysis is performed to obtain the equipment status abnormality assessment index of each ETC lane. The equipment status abnormality assessment index of each ETC lane is used to quantitatively assess the degree of abnormality of the equipment status of each ETC lane, providing a basis for equipment risk warning.

4. According to claim 3, the ETC lane service recommendation index analysis method is characterized by: The device is given early warning feedback based on the abnormal device status evaluation index of each ETC lane. The specific early warning process is as follows: The equipment state abnormality assessment index threshold is extracted from the ETC system database, and the equipment state abnormality assessment index of each ETC lane is compared with the equipment state abnormality assessment index threshold. If the equipment state abnormality assessment index of an ETC lane is higher than or equal to the equipment state abnormality assessment index threshold, the equipment state of the ETC lane is marked as abnormal and an early warning feedback is given; if the equipment state abnormality assessment index of an ETC lane is lower than the equipment state abnormality assessment index threshold, the equipment state of the ETC lane is marked as normal and displayed and output.

5. According to claim 1, the ETC lane service recommendation index analysis method is characterized by: The ETC equipment historical operation data specifically includes: equipment failure rate, equipment mean time between failures and equipment failure recovery time within a preset historical period.

6. According to claim 5, the ETC lane service recommendation index analysis method is characterized by: The equipment stability evaluation index of each ETC lane is obtained through processing, and the specific process is as follows: Extract the critical equipment failure rate, critical equipment mean time between failures and critical equipment failure recovery time from the ETC system database; Based on the historical operation data of the ETC equipment, comprehensive processing is performed to obtain the equipment stability evaluation index of each ETC lane. The equipment stability evaluation index of each ETC lane is used to quantitatively evaluate the stability of the equipment of each ETC lane, providing a basis for evaluating the service capacity of each ETC lane.

7. The ETC lane service recommendation index analysis method according to claim 6, characterized in that: The comprehensive analysis obtains the service recommendation index of each ETC lane. The specific analysis process is as follows: Based on the equipment status abnormality evaluation index and equipment stability evaluation index of each ETC lane, a comprehensive analysis is conducted to obtain the service recommendation index of each ETC lane. The service recommendation index of each ETC lane is used to quantitatively evaluate the comprehensive service capability of each ETC lane and provide a basis for vehicle scheduling.

8. The ETC lane service recommendation index analysis method according to claim 7, characterized in that: The vehicle is dispatched according to the service recommendation index of each ETC lane. The specific dispatching process is as follows: Sort the service recommendation index of each ETC lane from large to small to obtain a service recommendation index sequence; Classify vehicles by vehicle type (including small, medium and large cars, small, medium and large trucks) and need (whether fast passage is required); According to the service recommendation index sequence, the lanes with the highest service recommendation index are allocated to small vehicles with the highest demand priority, and the lanes with the lowest service recommendation index are allocated to large vehicles with the lowest demand priority.

9. The ETC lane service recommendation index analysis method according to claim 3, characterized in that: The specific numerical expression of the abnormal equipment status evaluation index of each ETC lane is: In the formula, SB r represents the abnormal equipment status evaluation index of the rth ETC lane, e represents a natural constant, and HJ r represents the environmental interference assessment value of the rth ETC lane, W r (t) represents the temperature of the equipment in the rth ETC lane at time t, Y r (t) represents the voltage of the equipment in the rth ETC lane at time t, YC r (t) represents the communication delay of the equipment in the rth ETC lane at time t, ZP r (t) represents the interruption frequency of the equipment in the rth ETC lane at time t, JY r (t) represents the number of abnormal transactions of the equipment in the rth ETC lane at time t, W 0 Indicates the standard temperature of the equipment, Y 0 Indicates the rated voltage of the device. Indicates critical device communication delay, Indicates the interruption frequency of critical equipment, represents the number of critical equipment abnormal transactions, ΔW represents the allowable deviation equipment temperature, ΔY represents the allowable deviation voltage, ε1 represents the equipment state abnormal impact factor corresponding to the preset equipment temperature, ε2 represents the equipment state abnormal impact factor corresponding to the preset equipment voltage, ε3 represents the equipment state abnormal impact factor corresponding to the preset equipment communication delay, ε4 represents the equipment state abnormal impact factor corresponding to the preset equipment interruption frequency, ε5 represents the equipment state abnormal impact factor corresponding to the preset number of equipment abnormal transactions, and ε6 represents the equipment state abnormal impact factor corresponding to the preset environmental interference assessment value.

10. The ETC lane service recommendation index analysis method according to claim 7, characterized in that: The specific numerical expression of the recommended service index of each ETC lane is: In the formula, represents the service recommendation index of the rth ETC lane, SB r represents the abnormal equipment status evaluation index of the rth ETC lane, WD r represents the equipment stability evaluation index of the rth ETC lane, Indicates the lane service recommendation index correction factor corresponding to the preset equipment status abnormality evaluation index. Indicates the lane service recommendation index correction factor corresponding to the preset equipment stability evaluation index.

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