CN115966034A - Highway equipment state data processing terminal - Google Patents
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Abstract
The invention is suitable for the technical field of data processing of high-speed equipment, and particularly relates to a state data processing terminal of highway equipment, which comprises the following steps: acquiring distance sensing data and ETC equipment sensing data; calculating the number of vehicles entering the charging range at present according to the distance sensing data, judging whether more than two vehicles enter the charging range at the same time, and if so, confirming the vehicle passing; collecting images, identifying vehicle license plates according to the collected images, and determining the sequence between the vehicles and the barrier; and inquiring the induction data of the ETC equipment corresponding to each vehicle license plate according to the sequence, and settling the toll one by one. According to the invention, the distance sensor is arranged to count the number of the vehicles, so that the image acquisition equipment is combined to acquire the images of the vehicles, identify the number plates of the vehicles and judge the distance of the vehicles, the vehicles are ensured to settle the fees according to the sequence of entering the passage, the condition that ETC equipment is falsely used is avoided, and the passing efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of data processing of high-speed equipment, and particularly relates to a state data processing terminal of highway equipment.
Background
An expressway, referred to as a highway for short, is a highway dedicated for high-speed driving of automobiles. The highway has different regulations in different national regions, different times and different scientific research and academic fields, and is a multi-lane highway which is used for driving cars in different directions and in different lanes and controlling the entrance and the exit of the cars completely.
ETC, automatic toll collection for highways or bridges. The special short-range communication is carried out between the vehicle-mounted electronic tag arranged on the vehicle windshield and the microwave antenna on the ETC lane of the toll station, and the computer networking technology and the bank are utilized to carry out background settlement processing, so that the purpose that the vehicle can pay the highway or bridge expenses through the highway or bridge toll station without parking is achieved.
In the present ETC system, because ETC equipment is realized through short distance communication, when two rear vehicles are nearer at present, the condition that the ETC of rear vehicle was discerned and opened the banister when the front vehicle fails to normally pass through appears easily.
Disclosure of Invention
The embodiment of the invention aims to provide a method for processing state data of expressway equipment, and aims to solve the problem that when two vehicles are close to each other at present, ETCs of the two vehicles are easily identified to open a barrier when a front vehicle fails to normally pass through.
The embodiment of the invention is realized in such a way that a method for processing the state data of highway equipment comprises the following steps:
obtaining distance induction data and ETC equipment induction data;
calculating the number of vehicles entering the charging range at present according to the distance sensing data, judging whether more than two vehicles enter the charging range at the same time, and if so, confirming the passing of the vehicles;
collecting images, identifying vehicle license plates according to the collected images, and determining the sequence between the vehicles and the barrier;
and inquiring the induction data of the ETC equipment corresponding to each vehicle license plate according to the sequence, and carrying out toll settlement one by one.
Preferably, the step of calculating the number of vehicles currently entering the charging range according to the distance sensing data and determining whether more than two vehicles have entered the charging range at the same time specifically includes:
defining a group of vehicle statistical quantity N, wherein the initial value of N is 0;
calling distance induction data, and performing addition operation according to the number N of vehicles detected in the distance induction data;
and calling the barrier gate opening data, carrying out subtraction operation on the vehicle statistical quantity N according to the barrier gate opening data, and judging whether more than two vehicles enter a charging range at the same time according to the numerical value of N.
Preferably, the step of collecting the images, identifying the number plate of the vehicle according to the collected images, and determining the sequence between the vehicle and the barrier gate specifically comprises:
acquiring an image according to the distance sensing data to obtain a real-time acquired image;
carrying out binarization processing on the real-time collected image, carrying out license plate extraction on the binarized image, and identifying the license plate number of each vehicle;
and (4) carrying out screenshot on the number plate area in the binary image, counting the number of pixels in each screenshot, and determining the sequence between the vehicle and the barrier according to the number of the pixels.
Preferably, according to the ETC equipment response data that each vehicle license plate of precedence inquiry corresponds, carry out the step of toll settlement one by one, specifically include:
sequencing the vehicle number plates according to the sequence, and calling out the vehicle number plates one by one;
inquiring induction data of ETC equipment one by one according to the number plate of the vehicle, judging whether a matching item exists, and directly settling accounts if the matching item exists;
and when no matching item exists, popping up the barrier gate number and the vehicle number plate to the manager, and controlling the ETC channel indicator lamp to change to the no-pass state.
Another object of an embodiment of the present invention is to provide a highway device status data processing terminal, including:
the data acquisition module is used for acquiring distance sensing data and ETC equipment sensing data;
the vehicle counting module is used for calculating the number of vehicles entering the charging range at present according to the distance sensing data, judging whether more than two vehicles enter the charging range at the same time or not, and if so, confirming the vehicle passing;
the license plate identification module is used for acquiring images, identifying vehicle license plates according to the acquired images and determining the sequence between the vehicles and the barrier;
and the fee settlement module is used for inquiring the ETC equipment induction data corresponding to each vehicle license plate according to the sequence and performing toll settlement one by one.
Preferably, the vehicle statistics module comprises:
a numerical value definition unit for defining a group of vehicle statistical quantities N, the initial value of N being 0;
the first operation unit is used for calling the distance sensing data and performing addition operation according to the number N of the vehicles detected in the distance sensing data;
and the second operation unit is used for calling the barrier gate opening data, carrying out subtraction operation on the vehicle statistical quantity N according to the barrier gate opening data, and judging whether more than two vehicles enter a charging range at the same time according to the numerical value of N.
Preferably, the number plate recognition module includes:
the image acquisition unit is used for acquiring images according to the distance sensing data to obtain real-time acquired images;
the license plate extracting unit is used for carrying out binarization processing on the real-time collected image, carrying out license plate extraction on the binarized image and identifying the license plate number of each vehicle;
and the vehicle sequencing unit is used for carrying out screenshot on the number plate area in the binary image, counting the number of pixels in each screenshot, and determining the sequence between the vehicle and the barrier according to the number of the pixels.
Preferably, the fee settlement module includes:
the data calling unit is used for sequencing the vehicle number plates according to the sequence and calling out the vehicle number plates one by one;
the data matching unit is used for inquiring the induction data of the ETC equipment one by one according to the vehicle number plate, judging whether a matching item exists or not, and directly settling accounts if the matching item exists;
and the abnormal warning unit is used for popping up a barrier gate number and the vehicle number plate to a manager when no matching item exists, and controlling the ETC channel indicator lamp to change to a no-pass state.
Preferably, in the step of performing intermittent image capturing, the captured image is detected, and the image without change is deleted.
Preferably, the distance sensing data is detected by a distance sensor.
Preferably, the distance sensing data includes distance data and time data.
Preferably, when the vehicle entering the toll collection range exceeds a preset value, the ETC passage indicator lamp is controlled to change to the passage prohibition state.
According to the method for processing the state data of the highway equipment, provided by the embodiment of the invention, the number of the vehicles is counted by arranging the distance sensors, so that the image acquisition of the vehicles is carried out by combining the image acquisition equipment, the number plate of the vehicles is identified, the distance of the vehicles is judged, the vehicles are guaranteed to carry out expense settlement according to the sequence of entering the passage, the condition that ETC equipment is falsely used is avoided, and the passing efficiency is improved.
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Fig. 1 is a flowchart of a method for processing status data of highway equipment according to an embodiment of the present invention;
FIG. 2 is a flowchart of the steps of calculating the number of vehicles currently entering the charging range according to the distance sensing data, and determining whether more than two vehicles have entered the charging range at the same time according to the embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps of collecting images, recognizing a vehicle license plate according to the collected images, and determining a sequence between a vehicle and a barrier according to an embodiment of the present invention;
fig. 4 is a flowchart of steps of querying the ETC device induction data corresponding to each vehicle license plate in order and settling the toll one by one according to the embodiment of the present invention;
fig. 5 is an architecture diagram of a highway equipment status data processing terminal according to an embodiment of the present invention;
FIG. 6 is an architecture diagram of a vehicle statistics module according to an embodiment of the present invention;
fig. 7 is an architecture diagram of a number plate recognition module according to an embodiment of the present invention;
fig. 8 is an architecture diagram of a fee settlement module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements should not be limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
As shown in fig. 1, a flowchart of a method for processing status data of highway equipment according to an embodiment of the present invention is shown, where the method includes:
and S100, obtaining distance sensing data and ETC equipment sensing data.
In this step, acquire distance sensing data, set up distance sensor in ETC charge passageway's both sides, carry out information recording through distance sensor, the data that the record obtained are distance sensing data promptly, it is concrete, distance sensing data contains time data and distance detection data, record according to time sequence, the vehicle that gets into is confirmed along with the change of time according to the distance detection numerical value, it is concrete, can set up two sets of distance sensor, whether confirm the vehicle gets into the charging area through two sets of distance sensor, and the moving direction, ETC equipment sensing data is the data of the ETC equipment on the vehicle that the induction equipment that sets up in the ETC passageway detected, including vehicle license plate information.
S200, calculating the number of vehicles entering the charging range at present according to the distance sensing data, judging whether more than two vehicles enter the charging range at the same time, and if so, confirming the passing of the vehicles.
In this step, the number of vehicles currently entering the toll collection range is calculated based on the distance sensing data, and since two sets of distance sensors are provided, it is possible to determine whether there is a vehicle entering and a direction of the vehicle entering based on the time when the two sets of distance sensors detect a change in distance, taking distance sensor a and distance sensor B as an example, when setting, the distance between distance sensor a and distance sensor B is limited so that the distance is less than the minimum vehicle length, specifically, it may be set to two meters, when neither distance sensor a nor distance sensor B detects a change in distance, it is indicated that there is no vehicle entering, when any one of distance sensor a and distance sensor B detects a change in distance, it is indicated that there is a vehicle entering from that side, when the distance sensor A detects the distance change, then the distance sensor B detects the distance change, it is shown that the vehicle passes through the current area, then the distance change cannot be detected by the distance sensor A, it is shown that the vehicle has driven through the distance sensor A, then the distance change cannot be detected by the distance sensor B, it is shown that the vehicle has completely driven into the charging area, only when the sequence is met, it can be determined that one vehicle completely drives into the charging area, meanwhile, statistics is carried out on the vehicles completely entering the charging area, it is judged whether more than two vehicles have simultaneously driven into the charging area, if so, vehicle passing confirmation is carried out, at this moment, a plurality of vehicles exist, and the situation that ETC passing is rubbed needs to be avoided.
S300, image acquisition is carried out, the number plate of the vehicle is identified according to the acquired image, and the sequence between the vehicle and the barrier is determined.
In this step, image acquisition is performed, when a vehicle is detected by the distance sensor, a signal is sent to the corresponding image acquisition device to inform the image acquisition device of image acquisition to obtain a corresponding image, the vehicle number plate is identified according to the acquired image, the vehicle number plate contained in the image is identified through an image identification technology, the number plates of all vehicles in the charging area are identified at the moment, the sequence of each vehicle from the barrier gate is further judged through the image identification technology, and therefore the settlement sequence is judged, and particularly, the sequence can be determined through pixel statistics.
And S400, inquiring the ETC equipment induction data corresponding to each vehicle license plate according to the sequence, and settling the toll one by one.
In this step, the ETC equipment induction data that each vehicle license plate corresponds is inquired according to the precedence, when collecting, according to the position relation between vehicle and the banister, confirm the charging order according to the precedence of vehicle promptly to the license plate according to corresponding vehicle begins to charge, when collecting, according to the ETC equipment induction data that the license plate inquiry corresponds, thereby accomplish the charge, when can't look for corresponding matching item in the ETC equipment induction data according to current license plate, then regard as the failure of collecting fee, notify corresponding managers.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of calculating the number of vehicles currently entering the charging range according to the distance sensing data and determining whether more than two vehicles have entered the charging range at the same time specifically includes:
s201, defining a group of vehicle statistical quantities N, wherein the initial value of the N is 0.
In the step, a group of vehicle statistical number N is defined, where the vehicle statistical number N is the number of vehicles that have completely entered the toll collection area, and the value of N is zero in the initial time, and the value of N dynamically changes according to the vehicles entering and exiting the toll collection area in the subsequent work.
And S202, calling distance sensing data, and performing addition operation according to the number N of the vehicles detected in the distance sensing data.
In this step, distance sensing data is retrieved, specifically, real-time detection data of two sets of distance sensors is retrieved, when a vehicle approaches the distance sensors, data output by the distance sensors are first distance values, when the vehicle is far away from the distance sensors, data output by the distance sensors are second distance values, and recording is performed according to a time sequence, so that square wave images are formed, the number of vehicles entering a charging range is determined according to the two sets of square wave images, and when it is detected that one vehicle enters each time, N = N +1.
S203, the barrier gate opening data are called, the vehicle statistical number N is subtracted according to the barrier gate opening data, and whether more than two vehicles enter a charging range at the same time is judged according to the value of N.
In the step, barrier opening data is called, one vehicle passes through the barrier each time the barrier is opened, at the moment, the subtraction operation is carried out on the numerical value of N, namely N = N-1, and whether more than two vehicles enter a charging range at the same time is judged according to the numerical value of N.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of collecting images, identifying a vehicle number plate according to the collected images, and determining a sequence between a vehicle and a barrier specifically includes:
and S301, acquiring images according to the distance sensing data to obtain real-time acquired images.
In the step, image acquisition is carried out according to distance sensing data, when a distance sensor detects distance change, a control instruction is immediately sent to image acquisition equipment to inform the image acquisition equipment to carry out image acquisition, image acquisition is carried out intermittently within a subsequent preset time length, specifically, the image acquisition can be carried out once at an interval of 100ms to obtain a real-time acquired image, in the step of carrying out intermittent image acquisition, the acquired image is detected, and the image which does not change is deleted.
S302, carrying out binarization processing on the real-time collected image, carrying out license plate extraction on the binarized image, and identifying the license plate number of each vehicle.
In the step, the real-time collected image is subjected to binarization processing, the image is converted into an image only containing black and white pixels through binarization processing so as to reduce data processing amount, the license plate of the vehicle is identified through image identification, and the identified license plate is stored.
And S303, screenshot is carried out on the number plate area in the binary image, the number of pixels in each screenshot is counted, and the sequence between the vehicle and the barrier gate is determined according to the number of the pixels.
In the step, screenshot is carried out on the number plate area in the binary image, the area where the number plate is located is intercepted and subjected to Hough transformation, the area is converted into a line graph to identify the frame of the number plate, the number of pixels contained in the frame is counted, and the number plates are sequenced according to the number of the pixels, so that the sequence between the vehicle and the barrier gate is determined according to the number of the pixels, and the license plate with the larger number of the pixels is closer to the barrier gate and the sequencing is closer to the front.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of inquiring the ETC device sensing data corresponding to each vehicle license plate in sequence and settling the toll one by one specifically includes:
s401, sequencing the vehicle number plates according to the sequence, and calling out the vehicle number plates one by one.
In the step, the vehicle license plates are sorted according to the sequence, and the license plates are called according to the sorting sequence, so that the order of the license plates can represent the charging order of the vehicles due to the fact that the vehicles are sorted.
S402, inquiring induction data of the ETC equipment one by one according to the vehicle number plate, judging whether a matching item exists, and directly settling accounts if the matching item exists.
And S403, when no matching item exists, popping up a barrier gate number and the vehicle number plate to a manager, and controlling the ETC channel indicator lamp to change to a no-pass state.
In this step, the ETC device induction data is inquired one by one according to the vehicle number plate, and the vehicle information of each ETC device is detected in the ETC device induction data, so that settlement can be carried out according to the vehicle information.
As shown in fig. 5, a terminal for processing status data of highway equipment provided in an embodiment of the present invention includes:
and the data acquisition module 100 is used for acquiring distance sensing data and ETC equipment sensing data.
In this terminal, data acquisition module 100 acquires distance sensing data, set up distance sensor in the both sides of ETC charge passageway, carry out information recording through distance sensor, the data that the record obtained are distance sensing data promptly, it is specific, distance sensing data contains time data and distance detection data, record according to time sequence, confirm the vehicle that gets into according to the change of distance detection numerical value along with time, it is specific, can set up two sets of distance sensor, whether confirm the vehicle gets into the charging area through two sets of distance sensor, and moving direction, ETC equipment sensing data is the data of the ETC equipment on the vehicle that the induction equipment that sets up in the ETC passageway detected, including vehicle license plate information.
And the vehicle counting module 200 is used for calculating the number of the vehicles entering the charging range at present according to the distance sensing data, judging whether more than two vehicles enter the charging range at the same time, and if so, confirming the vehicle passing.
In the terminal, the vehicle counting module 200 calculates the number of vehicles currently entering the toll collection area according to the distance sensing data, and since two sets of distance sensors are provided, whether a vehicle enters and the entering direction can be determined according to the time when the two sets of distance sensors detect the distance change, when the distance sensors a and B are taken as examples, the distance between the distance sensors a and B is limited to be less than the minimum vehicle length, specifically, two meters can be set.
And the number plate identification module 300 is used for acquiring images, identifying the number plate of the vehicle according to the acquired images and determining the sequence between the vehicle and the barrier gate.
In the terminal, the number plate recognition module 300 collects images, when the distance sensor detects a vehicle, a signal is sent to the corresponding image collection device to inform the image collection device to collect the images to obtain corresponding images, the number plates of the vehicle are recognized according to the collected images, the number plates of the vehicle contained in the images are recognized through an image recognition technology, the number plates of all vehicles in a charging area are recognized at the moment, the sequence of each vehicle from a barrier gate is further judged through the image recognition technology, and therefore a settlement sequence is judged, and particularly, the sequence can be determined through pixel statistics.
And the fee settlement module 400 is used for inquiring the ETC equipment induction data corresponding to each vehicle license plate according to the sequence and settling the toll one by one.
In this terminal, the fee settlement module 400 queries the ETC device induction data corresponding to each vehicle number plate according to the sequence, and when charging, determines the charging sequence according to the position relationship between the vehicle and the barrier, namely, according to the sequence relationship of the vehicle, so as to start charging according to the number plate of the corresponding vehicle, and when charging, queries the corresponding ETC device induction data according to the number plate, thereby completing charging, and when the corresponding matching item cannot be found from the ETC device induction data according to the current number plate, the charging is regarded as failed, and the corresponding administrator is notified.
As shown in fig. 6, as a preferred embodiment of the present invention, the vehicle statistic module 200 includes:
a value defining unit 201 for defining a set of vehicle statistical quantities N, the initial value of N being 0.
In this module, the value definition unit 201 defines a group of vehicle statistical quantities N, where the vehicle statistical quantities N are the quantities of vehicles that have completely entered the toll collection area, and the value of N is zero in the initial time, and the value of N dynamically changes according to the vehicles that enter and exit in the subsequent work.
The first arithmetic unit 202 is configured to retrieve the distance sensing data, and perform an addition operation according to the number N of vehicles detected in the distance sensing data.
In this module, first arithmetic unit 202 calls distance sensing data, specifically, calls real-time detection data of two sets of distance sensors, and when the vehicle is close to the distance sensors, the data output by the distance sensors are first distance values, and when the vehicle is far away from the distance sensors, the data output by the distance sensors are second distance values, and are recorded according to a time sequence, so as to form square wave images, and determine the number of vehicles entering a charging range according to the two sets of square wave images, and when it is detected that a vehicle enters every time, then N = N +1.
And the second operation unit 203 is used for calling the barrier gate opening data, subtracting the vehicle statistical number N according to the barrier gate opening data, and judging whether more than two vehicles enter the charging range at the same time according to the value of N.
In this module, the second operation unit 203 retrieves the barrier gate opening data, and when the barrier gate is opened each time, there is one vehicle passing, at this time, the subtraction operation is performed on the value of N, that is, N = N-1, and it is determined whether there are more than two vehicles entering the charging range at the same time according to the value of N.
As shown in fig. 7, the number plate recognition module 300, as a preferred embodiment of the present invention, includes:
and the image acquisition unit 301 is used for acquiring images according to the distance sensing data to obtain real-time acquired images.
In this module, image acquisition unit 301 carries out image acquisition according to distance sensing data, when distance sensor detects the distance change, immediately sends control command to image acquisition equipment, notifies image acquisition equipment to carry out image acquisition, in the following preset time span, the intermittent type carries out image acquisition, specifically, can gather once at interval 100ms, obtains real-time collection image, carries out the step of intermittent type image acquisition, detects the image that the collection obtained, deletes the image that does not appear changing.
And a license plate extracting unit 302, configured to perform binarization processing on the real-time acquired image, perform license plate extraction on the binarized image, and identify license plate numbers of the vehicles.
In this module, the number plate extracting unit 302 performs binarization processing on the real-time captured image, converts the image into an image only including black and white pixels through binarization processing to reduce data processing amount, identifies the number plate of the vehicle through image identification, and stores the identified number plate.
And the vehicle sequencing unit 303 is used for carrying out screenshot on the number plate area in the binary image, counting the number of pixels in each screenshot, and determining the sequence between the vehicle and the barrier according to the number of the pixels.
In this module, the vehicle sorting unit 303 captures the number plate region in the binarized image, captures the region where the number plate is located, performs hough transformation, converts the captured region into a line graph to identify the frame of the number plate, counts the number of pixels contained in the frame, and sorts the number plates according to the number of pixels, thereby determining the sequence between the vehicle and the barrier according to the number of pixels, wherein the number plate with the larger number of pixels is closer to the barrier, and the sort is closer.
As shown in fig. 8, as a preferred embodiment of the present invention, the fee settlement module 400 includes:
and the data calling unit 401 is configured to sort the vehicle license plates according to the sequence, and call out the vehicle license plates one by one.
In this module, the data retrieving unit 401 sorts the number plates of the vehicles according to the sequence, and retrieves the number plates according to the sorting sequence, and since the vehicles are sorted, the order of the number plates can represent the charging order of the vehicles.
And the data matching unit 402 is used for inquiring the inductive data of the ETC equipment one by one according to the vehicle number plate, judging whether a matching item exists or not, and directly settling accounts if the matching item exists.
And an abnormal warning unit 403, configured to pop up a barrier gate number and the vehicle number plate to a manager when there is no matching item, and control the ETC lane indicator lamp to change to a no-pass state.
In this module, according to vehicle license plate inquiry ETC equipment response data one by one, each vehicle information that is equipped with ETC equipment has been detected in ETC equipment response data, consequently can settle accounts in view of the above, if ETC equipment response data does not contain corresponding vehicle information, judges that there is not the matching item, pops up banister number and this vehicle license plate to managers to control this ETC passageway pilot lamp change to the no-pass state.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not limited to being performed in the exact order illustrated and, unless explicitly stated herein, may be performed in other orders. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a computer program, which may be stored in a non-volatile computer readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
All possible combinations of the technical features of the above embodiments may not be described for the sake of brevity, but should be considered as within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. A highway equipment status data processing terminal, characterized in that the terminal comprises:
the data acquisition module is used for acquiring distance sensing data and ETC equipment sensing data;
the vehicle counting module is used for calculating the number of vehicles entering the charging range at present according to the distance sensing data, judging whether more than two vehicles enter the charging range at the same time or not, and if so, confirming vehicle passing;
the license plate identification module is used for acquiring images, identifying vehicle license plates according to the acquired images and determining the sequence between the vehicles and the barrier;
and the fee settlement module is used for inquiring the ETC equipment induction data corresponding to each vehicle license plate according to the sequence and performing toll settlement one by one.
2. The highway equipment status data processing terminal according to claim 1, wherein the vehicle statistics module comprises:
a numerical value definition unit for defining a group of vehicle statistical quantities N, the initial value of N being 0;
the first operation unit is used for calling the distance sensing data and performing addition operation according to the number N of the vehicles detected in the distance sensing data;
and the second operation unit is used for calling the barrier gate opening data, subtracting the vehicle statistical number N according to the barrier gate opening data, and judging whether more than two vehicles enter the charging range at the same time according to the value of N.
3. The highway equipment status data processing terminal according to claim 1, wherein the number plate recognition module comprises:
the image acquisition unit is used for acquiring images according to the distance sensing data to obtain real-time acquired images;
the license plate extracting unit is used for carrying out binarization processing on the real-time collected image, carrying out license plate extraction on the binarized image and identifying the license plate number of each vehicle;
and the vehicle sequencing unit is used for carrying out screenshot on the number plate area in the binary image, counting the number of pixels in each screenshot, and determining the sequence between the vehicle and the barrier according to the number of the pixels.
4. The highway equipment status data processing terminal according to claim 1, wherein the fee settlement module comprises:
the data calling unit is used for sequencing the vehicle number plates according to the sequence and calling out the vehicle number plates one by one;
the data matching unit is used for inquiring the induction data of the ETC equipment one by one according to the vehicle number plate, judging whether a matching item exists or not, and directly settling accounts if the matching item exists;
and the abnormal warning unit is used for popping up a barrier gate number and the vehicle number plate to a manager when no matching item exists, and controlling the ETC channel indicator lamp to change to a no-pass state.
5. The terminal of claim 3, wherein the step of collecting the image according to the distance-sensitive data analyzes the distance-sensitive data, and when the vehicle is detected to enter, the step of intermittently collecting the image is started until there is no vehicle to be settled in the toll area.
6. The terminal for processing status data of highway equipment according to claim 5 wherein in the step of performing intermittent image acquisition, the acquired image is detected and the image without change is deleted.
7. The expressway equipment status data processing terminal of claim 1, wherein the distance sensing data is detected by a distance sensor.
8. The highway equipment status data processing terminal according to claim 1, wherein the distance sensing data includes distance data and time data.
9. The highway equipment state data processing terminal according to claim 1, wherein a preset value is preset in the vehicle statistical module, and when a vehicle entering a toll collection range exceeds the preset value, the ETC channel indicator lamp is controlled to change to a no-pass state.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6042008A (en) * | 1996-07-01 | 2000-03-28 | Denso Corporation | Toll collection system of toll road and in-vehicle unit for the same |
JP2004021792A (en) * | 2002-06-19 | 2004-01-22 | Toshiba Corp | Toll collection system, toll collection method |
KR20130097337A (en) * | 2012-02-24 | 2013-09-03 | 임정기 | Detection method of distance of vehicle using image identification and its system |
CN105788010A (en) * | 2016-01-14 | 2016-07-20 | 武汉光谷智能交通科技有限公司 | Electronic toll collection system |
CN106710229A (en) * | 2016-12-29 | 2017-05-24 | 张忠义 | Entering and leaving reversible method for parking lot |
CN111709286A (en) * | 2020-05-14 | 2020-09-25 | 深圳市金溢科技股份有限公司 | Vehicle sequencing and ETC transaction method, storage medium, industrial personal computer equipment and ETC system |
CN111991198A (en) * | 2020-08-14 | 2020-11-27 | 天津唯拓科技有限责任公司 | Control method of head-mounted obstacle avoidance device and head-mounted obstacle avoidance device |
US11010922B1 (en) * | 2016-10-31 | 2021-05-18 | United Services Automobile Association (Usaa) | Systems and methods for calibrating distance estimation in image analysis |
CN115798067A (en) * | 2022-11-17 | 2023-03-14 | 广东车卫士信息科技有限公司 | Electronic license plate recognition system based on high-power RSU and recognition method thereof |
-
2023
- 2023-03-16 CN CN202310254516.8A patent/CN115966034A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6042008A (en) * | 1996-07-01 | 2000-03-28 | Denso Corporation | Toll collection system of toll road and in-vehicle unit for the same |
JP2004021792A (en) * | 2002-06-19 | 2004-01-22 | Toshiba Corp | Toll collection system, toll collection method |
KR20130097337A (en) * | 2012-02-24 | 2013-09-03 | 임정기 | Detection method of distance of vehicle using image identification and its system |
CN105788010A (en) * | 2016-01-14 | 2016-07-20 | 武汉光谷智能交通科技有限公司 | Electronic toll collection system |
US11010922B1 (en) * | 2016-10-31 | 2021-05-18 | United Services Automobile Association (Usaa) | Systems and methods for calibrating distance estimation in image analysis |
CN106710229A (en) * | 2016-12-29 | 2017-05-24 | 张忠义 | Entering and leaving reversible method for parking lot |
CN111709286A (en) * | 2020-05-14 | 2020-09-25 | 深圳市金溢科技股份有限公司 | Vehicle sequencing and ETC transaction method, storage medium, industrial personal computer equipment and ETC system |
CN111991198A (en) * | 2020-08-14 | 2020-11-27 | 天津唯拓科技有限责任公司 | Control method of head-mounted obstacle avoidance device and head-mounted obstacle avoidance device |
CN115798067A (en) * | 2022-11-17 | 2023-03-14 | 广东车卫士信息科技有限公司 | Electronic license plate recognition system based on high-power RSU and recognition method thereof |
Non-Patent Citations (1)
Title |
---|
蓝贤桂: "《人工智能背景下图像处理技术的应用研究》", pages: 32 - 33 * |
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