CN205594878U - Super data acquisition system is controlled to source science and technology based on intelligent transportation - Google Patents
Super data acquisition system is controlled to source science and technology based on intelligent transportation Download PDFInfo
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- CN205594878U CN205594878U CN201620106486.1U CN201620106486U CN205594878U CN 205594878 U CN205594878 U CN 205594878U CN 201620106486 U CN201620106486 U CN 201620106486U CN 205594878 U CN205594878 U CN 205594878U
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Abstract
The utility model relates to a super data acquisition system is controlled to source science and technology based on intelligent transportation relates to a traffic areas, especially relates to one kind and is used for administering the system that the freight train overloads in the source. Its purpose has been assembleed a plurality of detection parts and has been utilized the super data acquisition system is controlled to source science and technology based on intelligent transportation that a special circuit topology structure made in order to provide one kind. The utility model relates to a super data acquisition system is controlled to source science and technology based on intelligent transportation is including visiting test table, and it is used for bearing the weight of is surveyed the vehicle, and its one end is equipped with the entry, and the other end is equipped with the export, regional identification module, it sets up visit test table's entry, axletree identification module, it sets up visit test table's side, the identification module that weighs, it sets up and is in it is in the blind hole of spy test table's bottom surface, three at least the identification module that weighs is from visiting test table the entry is to exporting evenly distributed, with the reminder module that transfinites, its with license plate discernment mould, axletree identification module, the identification module electricity of weighing are connected, and will regional identification module, axletree identification module, the identification module's that weighs signal output to terminal.
Description
Technical field
This utility model relates to field of traffic, particularly relates to a kind of for the system and method at watershed management overloading wagon.
Background technology
Development along with Chinese society economy, human cost more and more higher, increasing equipment trends towards realizing automatization and intellectuality, such as road is in field of vehicle detection, it is the most all to charge by manually arranging charge station, occur in that infrared acquisition vehicle separator, infrared acquisition vehicle separator are mainly used on the market now: ordinary highway charge station, no-stop charging system (ETC), Automatic Vehicle Classification system (AVC), highway weight and charge system (WIM), fixed overrun testing station, customs's vehicle management system etc..
But, the infrared acquisition vehicle separator being applied in highway is under the impact of various adverse circumstances and passing wagon flow, its outer surface is usually adhered to by mud and makes the infrared light launched in infrared acquisition vehicle separator by mud so hiding, and then affect transmitting and the reception of infrared acquisition vehicle separator mid-infrared light, there is the limitation that infrared acquisition vehicle separator cannot normally use, be the most greatly reduction of the accuracy separating vehicle.If from source overload remediation, then can greatly increase the effect of overload control, wherein source refers to cement plant, colliery factory and other items distribution centre.
The basic model of source overload remediation is that contradiction is concentrated on law enfrocement official and driver by this pattern based on inspection, in station at present.If wherein law enfrocement official processes the most proper, the most easily cause conflict, even intensify the contradictions, jeopardize law enfrocement official's life.In the overrun management overload work, this pattern generally exists, and is growing on and on, and collision event the most frequently occurs therewith, thus illustrates that current adopted the overrun management overload pattern inherently exists certain problem:
1, personnel put into many, overload remediation efficiency is low；
2, traffic jam phenomenon it is susceptible to；
3, consolidate overload remediation achievement difficulty to strengthen.
The construction of source science and technology overload remediation system will advance source overload remediation work with more standardizing, and save the time that the round inspection of management personnel is hurried back and forth simultaneously, save substantial contribution, improve work efficiency.
Therefore, need badly at present and a kind of integrating various detection modules and the special circuit topological structure of output detections result.
Utility model content
The technical problems to be solved in the utility model is to provide a kind of has gathered multiple detection part a kind of based on intelligent transportation the source science and technology overload remediation data collecting system utilizing a kind of special circuit topological structure to make.
A kind of source based on intelligent transportation of this utility model science and technology overload remediation data collecting system, including
Probe station, it is used for carrying tested vehicle, and its one end is provided with entrance, and the other end is provided with outlet；
Region identification module, it is arranged on the entrance of described probe station；
Axletree identification module, it is arranged on the side of described probe station；
Weighing identification module, in the blind hole of its bottom surface being arranged on described probe station, identification module of weighing described at least three is uniformly distributed to outlet from entrance described in probe station；With
Transfinite reminding module, and it electrically connects with described Car license recognition mould, axletree identification module, identification module of weighing, and exports the signal of described region identification module, axletree identification module, identification module of weighing to terminal.
The processing method of a kind of source based on intelligent transportation of this utility model science and technology overload remediation data, comprises the steps:
The color of the number plate of S100, described region identification module detection tested vehicle, generates the color signal of car plate, and the reminding module that transfinites described in transmission extremely；
The quantity of the axletree of described axletree identification module detection tested vehicle, generates number of axle signal, and the reminding module that transfinites described in transmission extremely；
The weight of the single-wheel of described identification module detection tested vehicle of weighing, generates the weight signal of single-wheel, and the reminding module that transfinites described in transmission extremely；
S200, described in the reminding module that transfinites judge whether tested vehicle overloads according to the color signal of described car plate, number of axle signal, the weight signal of single-wheel, and export to terminal.
A kind of source based on intelligent transportation of this utility model science and technology overload remediation data collecting system difference from prior art be a kind of source based on intelligent transportation of this utility model science and technology overload remediation data collecting system this utility model pass through described in the reminding module 50 that transfinites described Car license recognition mould, axletree identification module 30, the signal of identification module 40 of weighing are collected, and revolving die is video signal and exports to terminal, thus save the time of testing staff's detection.This utility model simplifies first estimates number plate, then estimates wheelbase, the number of axle, finally checks the trouble of result.And it can be the security punishment offer evidence of source overload remediation, solves the contradiction of testing staff and personnel concerning the case largely.
Below in conjunction with the accompanying drawings a kind of source based on intelligent transportation of the present utility model science and technology overload remediation data collecting system is described further.
Accompanying drawing explanation
Fig. 1 is the structural representation of a kind of source based on intelligent transportation science and technology overload remediation data collecting system.
Detailed description of the invention
As it is shown in figure 1, a kind of source based on intelligent transportation of this utility model science and technology overload remediation data collecting system includes:
Probe station 10, it is used for carrying tested vehicle, and its one end is provided with entrance, and the other end is provided with outlet；
Region identification module 20, it is arranged on the entrance of described probe station 10；
Axletree identification module 30, it is arranged on the side of described probe station 10；
Weighing identification module 40, in the blind hole of its bottom surface being arranged on described probe station 10, identification module 40 of weighing described at least three is uniformly distributed to outlet from entrance described in probe station 10；With
Transfinite reminding module 50, and it electrically connects with described Car license recognition mould, axletree identification module 30, identification module 40 of weighing, and exports the signal of described region identification module 20, axletree identification module 30, identification module 40 of weighing to terminal.
The cross section that described probe station 10 is is concave shape, and its front and back end is respectively the entrance and exit of tested vehicle.The entrance of probe station 10 be respectively provided on two sides with region identification module 20, the two sides of probe station 10 are equipped with axletree identification module 30.The width of the two sides of described probe station 10 is 3 meters.The ground of probe station 10 be respectively arranged on the left side and the right side identification module 40 of weighing, described in identification module 40 of weighing be positioned at the underface of wheel hub of tested vehicle.
This utility model pass through described in the reminding module 50 that transfinites described Car license recognition mould, axletree identification module 30, the signal of identification module 40 of weighing are collected, and revolving die is video signal and exports to terminal, thus saves the time of testing staff's detection.This utility model simplifies first estimates number plate, then estimates wheelbase, the number of axle, finally checks the trouble of result.And it can be the security punishment offer evidence of source overload remediation, solves the contradiction of testing staff and personnel concerning the case largely.
Described axletree identification module 30 is infrared acquisition vehicle separator, and it includes
Emitter, it is used for launching infrared light；
Receptor, it is for receiving the infrared light that described emitter is launched；With
Controller, it is for reading and process the scanning signal that emitter and receptor are formed by infrared light, it is provided that output signal；
Described emitter includes the first lampshade, ten infrared emission fluorescent tubes it are provided with in described first lampshade, described infrared emission fluorescent tube is positioned at same horizontal line, described receptor includes the second lampshade, it is provided with in described second lampshade and described infrared emission fluorescent tube infrared receiver fluorescent tube one to one, described infrared emission fluorescent tube is launched ultrared direction and is provided with transparent glass, the direction of described infrared receiver fluorescent tube receiving infrared-ray also is provided with transparent glass, described infrared emission fluorescent tube and described infrared receiver fluorescent tube connect and form scanning signal area, described controller electrically connects with described emitter and described receptor respectively, described first lampshade and the second lampshade outer surface are provided with cleaning device, described cleaning device electrically connects with described controller.
This utility model infrared acquisition vehicle separator includes by emitter, receptor, controller, and emitter is provided with ten each and every one infrared transmitting tubes, and receptor is provided with ten each and every one infrared receiving tubes.The modulated signal sent when infrared transmitting tube can arrive infrared receiving tube smoothly, after infrared receiving tube receives modulated signal, carry out opto-electronic conversion, and in the case of having barrier, the modulated signal that infrared transmitting tube sends can not arrive infrared receiving tube smoothly, at this moment this infrared receiving tube does not receives modulated signal, thus cannot be carried out opto-electronic conversion.So, by the controller analysis to the break-make conversion value of internal circuit status, the information whether vehicle separates can be detected.
This utility model use this structure have the beneficial effect that compared to prior art, infrared emission fluorescent tube and infrared receiver fluorescent tube are outside equipped with lampshade, so can reduce the external environment condition impact on infrared acquisition vehicle separator, the quantity that infrared emission fluorescent tube and infrared receiver fluorescent tube use is the most all ten, so can either form a suitable light curtain of infrared ray spacing, technical ability rationally detects vehicle and does not results in again waste, lampshade outer surface is additionally provided with cleaning device simultaneously, clean device and ensure that the cleaning outside lampshade, make separator will not affect the accuracy of separator because outside is unclean.
Described first lampshade and the second lampshade all include a rectangular support, and described clear glass is installed on the bracket, and described support uses stainless steel material.
Wherein, the first lampshade and the second lampshade all include a rectangular support, and clear glass is rack-mount, and support uses stainless steel material.Rectangular support frame lower end is provided with base, and base ground is plane.
Base is mainly used in supporting support, base can be the base plate of one piece of level, base plate can be circle, rectangular, foursquare, do not limit at this, emitter is all consistent with the stent size of receptor, so can preferably ensure that infrared transmitting tube and infrared receiver fluorescent tube one_to_one corresponding form scanning signal area.
Wherein, being provided with heater in the first lampshade and the second lampshade, heater is connected with controller, and controller controls heater and runs.
Heater can use at the weather of cold weather, it is ensured that the outer surface of separator will not freeze, and becomes the use affecting separator.
Wherein, infrared acquisition vehicle separator also includes display device, and display device is connected with controller, and display device is for the output signal of display controller.
The testing result of controller can be shown by display device so that the function of infrared acquisition vehicle separator is more complete and hommization.
Wherein, alarming device, alarming device is used for pointing out fault, alarming device to be connected with controller, and alarming device includes alarming horn.
When controller detects problem, controller can send warning by alarming device, it is common that sends out warning by alarming horn, other warning way can certainly be used, such as, alarming device includes LED, and controller controls LED and sends out warning.
Wherein, controller is independently located at the outside of emitter and receptor.So controller is convenient when being connected with emitter and receptor.
Wherein, clean device and be active in the first lampshade and the outer surface of the second lampshade, cleaning device and include storage tank, water pump, water-supply-pipe and water spout, the washings in storage tank are inputted water spout by water-supply-pipe by water pump, via water spout to the first lampshade and the second lampshade outer surface spraying-rinsing.
Described identification module 40 of weighing includes
Weighing instrument, it is arranged on the top of blind hole of bottom surface of described probe station 10, and it is connected with the described reminding module 50 that transfinites；With
Weighing axle identification sensor, it is thin film switch, and it is arranged on the bottom of blind hole of bottom surface of described probe station 10, and its top is provided with button, and it is when weighing instrument works, and sends working signal to the described reminding module 50 that transfinites.
True k Scale Weighing System is weighed and is identified that interface system is improved by this utility model, by the interface arrangement identifying interface system of weighing is carried out dilatation, this interface arrangement is provided with multiple interface unit, the plurality of interface unit is respectively the interface unit for different truck scale instruments protocols, so, improve weigh identify interface system versatility so that it can be applied and the truck scale of different agreement interface, beneficially truck scale system product buying, upgrade and keep in repair use etc..
This utility model also includes that vehicle judging unit, described vehicle judging unit are connected with described axle identification unit, and described vehicle judging unit judges the vehicle of vehicle according to the quantity of described wheel shaft.
This utility model also includes the identifying unit that transfinites, described in the identifying unit that transfinites be connected with described weighing instrument, vehicle judging unit respectively.
This utility model also includes a transmitting device, the described identifying unit that transfinites is connected with described weighing instrument, vehicle judging unit respectively by described transmitting device, and described transmitting device receives described weighing instrument, the signal of vehicle judging unit and the identifying unit that transfinites described in transmitting extremely.
This utility model also includes that display device and alarm device, described display device are connected with described transmitting device, and described alarm device is connected with the described identifying unit that transfinites.
In use, truck scale according to product type corresponding connect interface, its weighing instrument first transmission interface agreement to weigh identification interface system in, weigh identification interface system according to identify software recognition detection weighing instrument model, it is achieved the docking of interface.Secondly, after completing interface docking, i.e. can recognize that the weighing data of weighing instrument, read weight of weighing.
This utility model also includes communication module, described in the reminding module 50 that transfinites electrically connected with described Car license recognition mould, axletree identification module 30, identification module 40 of weighing by described communication module；
Described communication module includes
It is arranged respectively at described Car license recognition mould, axletree identification module 30, the car plate wireless transmitter module weighed on identification module 40, axletree wireless transmitter module, wireless transmitter module of weighing；
With described car plate wireless transmitter module, axletree wireless transmitter module, the wireless receiving module of wireless transmitter module wireless connections of weighing；With
The server being connected with institute's wireless receiving module and the described reminding module 50 that transfinites respectively.
In traditional color number plate video detecting method, owing to the inaccurate phenomenon of number plate identification often occurs in the reason (such as haze) of weather visibility.It is known that, machine vision is one and studies the science how making machine " see ", further, it is exactly to refer to replace human eye that target is identified with camera and computer, follow the tracks of and the machine vision such as measurement, and do graphics process further, make computer be treated as being more suitable for eye-observation or sending the image of instrument detection to.In the analysis to video image, the monitoring to object of which movement based on sequence image comprises polytype, such as self-motion (the Three-dimensional Rigidity motion of monitoring video camera), image trace (object of pursuit movement).And image trace technology, it is the important technology improving video image identification rate.This example will be described in the tracking of moving target in screen sequence.And in image trace technology, image causes Moving Objects to drift about because of the refraction between fog, different air layer, reflex, have a strong impact on the accuracy of image recognition, thus created the situation of erroneous judgement, exacerbate the contradiction between law enfrocement official and driver personnel.
For solving above-mentioned technical problem, this utility model is adopted with the following method:
The processing method of a kind of source based on intelligent transportation science and technology overload remediation data, it is characterised in that comprise the steps:
S100, described region identification module 20 detect the color of the number plate of tested vehicle, generate the color signal of car plate, and the reminding module 50 that transfinites described in transmission extremely；
Described axletree identification module 30 detects the quantity of the axletree of tested vehicle, generates number of axle signal, and the reminding module 50 that transfinites described in transmission extremely；
Described identification module 40 of weighing detects the weight of the single-wheel of tested vehicle, generates the weight signal of single-wheel, and the reminding module 50 that transfinites described in transmission extremely；
S200, described in the reminding module 50 that transfinites judge whether tested vehicle overloads according to the color signal of described car plate, number of axle signal, the weight signal of single-wheel, and export to terminal.
This utility model is processed by the reminding module 50 that transfinites by region identification module 20, axletree identification module 30, the signal data unification of identification module 40 of weighing, carry out same control by the reminding module that transfinites of the present utility model, be uniformly processed and calculate whether tested vehicle overloads, thus in source, it is carried out source limit is super administers.
Wherein, identify at identification module 40 of weighing described in S100 in the step of weight of the single-wheel of tested vehicle, also comprise the steps:
The weight signal of S101, described weighing instrument detection tested vehicle；
S102, described in axle identification sensor of weighing detect the working time of described weighing instrument more than the times N of 1.5s, and using N as weigh wheel number signal transmission to described in transfinite reminding module 50；
When wheel number signal of weighing is different from described number of axle signal, then restart step S100；
When wheel number signal of weighing is identical with described number of axle signal, then jump to step S200.
Wherein, it is characterised in that in the step of the color detecting the number plate of tested vehicle at the described region identification module 20 of S100, also including the described region identification module 20 step to the tracking of Moving Objects, it comprises the steps:
S111, the initialization of Moving Objects parameter: center and area size to the car plate of tested vehicle catch；
S112, object matching: the Moving Objects of the Moving Objects detected in present frame with any one frame of former 20 frames is compared, if the comparative result of the area size that the comparative result of the center of Moving Objects meets the first predetermined threshold value and Moving Objects meets the second predetermined threshold value, then generate the movement locus of Moving Objects, movement velocity；
If the comparative result of the area size that the comparative result of the center of Moving Objects is unsatisfactory for the first predetermined threshold value or Moving Objects is unsatisfactory for the second predetermined threshold value, then restart step S100；
S113, the renewal of Moving Objects parameter: catch the area size parameter of the Moving Objects of described present frame, center parameter, and the area size parameter of Moving Objects of any one frame of former 20 frames, center parameter are replaced with the area size parameter of Moving Objects of present frame, center parameter, and update the movement locus of Moving Objects, speed.
S114, Moving Objects high-brightness: when the seriality of the movement locus of Moving Objects is less than four predetermined threshold value higher than the movement velocity of the 3rd predetermined threshold value and Moving Objects, the frame in the region of the Moving Objects of present frame is carried out high-brightness process, and identifies the car plate colouring information of all Moving Objects currently followed the tracks of；
When the seriality of the movement locus of Moving Objects is higher than four predetermined threshold value less than the movement velocity of the 3rd predetermined threshold value and Moving Objects, then restart step S100.
Wherein, the first predetermined threshold value is: the circular overlay area with 500 pixels as radius.Second predetermined threshold value is: the difference of the area of 90000 pixels, the area of the most positive and negative 90000 pixels.3rd predetermined threshold value is: radian is the flexibility of 100 ° of minor arcs of diameter 5000 length in pixels.4th threshold value is 500 length in pixels/second.
This utility model have employed centre of location position and location area size, and processes according to the trackingization of These parameters, when meeting the satisfied path preset and rate request, just starts to identify color, the probability of colour recognition has been significantly increased.
Wherein, in S114 step, the recognition methods of car plate color comprises the steps:
nullRegion identification module 20 reads the frame of the data formation current kinetic object in specified memory and shows on screen，Each pixel in the region of the solid color of the rectangle in the frame of Moving Objects is scanned simultaneously，Each pixel value is decomposed into white、Yellow、Blue three-color component，With 80% blue thresholds arranged in software、80% white threshold value、80% yellow threshold value compares，Judge the region of this solid color is in which color threshold above-mentioned，The view data the most in the same time in the region of reading solid color in threshold value，Analyze the same pixel in region of solid color at brightness flop the most in the same time，By change frequency and the 6th threshold ratio relatively，Judge that this seems no to meet flicker pixel，Output judged result，If it is considered to this scene does not exist flicker pixel，Then computer sends instruction and controls two outfans of the Zone switched identification module of screen 20 and be switched to subsequent region identification module 20 and be analyzed，The data that region identification module 20 directly reads in internal memory make background process，Ultrared intensity the most often shows as the power of brightness，Scan continuously pushing a gray value，By comparing, with the 7th threshold value, the suspicious region determining in image，Finally the abnormal area that two passages determine is carried out correlation analysis，The identification signal of the color of output car plate.
Wherein the 6th threshold value is 2 times.
This utility model is by carrying out color analysis for the pixel of car plate, and is analyzed the change of its brightness by continuation, it is judged that whether this color is the brightness under normality, rather than the color of the veiling glare after light line reflection, refraction, thus judge the color of car plate exactly.
Wherein, the same pixel in region of solid color is analyzed at brightness flop the most in the same time, by change frequency with the 6th threshold ratio relatively, it is judged that this seems no meeting to flash the recognition methods of pixel and also comprise the steps:
Region identification module 20 utilizes the pixel at most four turnings on the edge in the region of solid color to be configured to Chosen Point, and the position of the position of Chosen Point with 20 frames before is compared by Chosen Point, if the positional distance of Chosen Point and before 20 frames is more than 200 pixel, then judge that this picture is as flicker pixel.
Realize the major way that frame processes at present to have and carry out target recognition based on universal PC microcomputer, single-chip microcomputer, general and special DSP, FPGA.Mainly being carried out the process work of digital frame, the ample resources of CPU to be taken on general purpose PC by software, be merely able to provide general frame treatment effect and speed relatively slow, and affected by microcomputer volume and weight, portability and mobility are the best.Function of the MCU is the most powerful, and processor is affected by speed and inner core so that range of application, by considerable restraint, can only process fairly simple digital signal, is extremely difficult to real-time requirement.When using general special DSP, the range of application of region identification module 20 and real-time will be subject to certain restrictions.
Automatic target detection process is actually the process that a frame processes, and its method mainly has template matching method and neural network.Use template matching method to be identified following the tracks of, good tracking effect can be obtained, but shortcoming is that computationally intensive during identification, the time of tracking is longer, additionally to noise-sensitive to identifying that region identification module 20 memory requirement is high.Neural net method has that detection speed is fast, zmodem, can detect that the advantages such as multiple targets, major defect are that the accuracy of detection is determined by the quantity of training sample simultaneously.Owing to target trajectory number is very big, application neutral net detects some problems that there may be in terms of training time and convergence.Said method can detect target mostly accurately, but can not meet the requirement that rapidity is processed by some real-time region identification modules 20 because amount of calculation is bigger.Use algorithm relatively simple for structure, it is difficult to ensure the accuracy rate of automatic target detection；And the algorithm that complexity is higher, the requirement to internal memory and CPU is the highest, is unfavorable for that hardware realizes.
For solving the problems referred to above, the identification of this utility model car plate color also comprises the steps:
Region identification module 20 includes the DSP Minimum Area identification module 20 being made up of processor, power supply, reset and JTAG, FPGA frame pretreatment unit, video encoding unit, ethernet communication unit, WIFI unit and extended menory unit；The analog video signal that CCD gathers is digitized by video decoding unit, send into FPGA frame pretreatment unit and carry out frame pretreatment, again the digital frame signal after pretreatment is input to DSP Minimum Area identification module 20, use covering algorithm to carry out target recognition, finally result carried out Video coding and communicated by ethernet communication unit and WIFI unit；Extended menory unit is connected with DSP Minimum Area identification module 20；
Moving target is identified by described covering algorithm by processor；Traditional feature extraction generally uses method based on region boundary rectangle, in covering algorithm, uses circle to replace rectangle to carry out feature extraction；Taking the barycenter in region as concentrically ringed center, and it is further proposed that area ratio and concentric circular ratio, 2n characteristic quantity is as the feature of target recognition altogether, it is achieved thereby that translation, ratio and the rotational invariance during Shi Bieing；
Split process to the present frame of a frame Moving Objects, then the fractionation frame obtained is done zone marker, obtains the multiple regions in frame；
Extract area ratio feature Ai in each region,
Wherein Ai=(Xi/Yi) * 100% (1≤i≤n),
Described Xi is to comprise the target area in i concentric circular, and Yi is the concentrically ringed area of i-th；
Step 3: extract the concentric circular ratio characteristic Pi in each region,
Wherein Pi=(Ni/Mi) * 100% (1≤i≤n),
Described Ni is the pixel count of i-th concentric circular and area coincidence, and Mi is the concentrically ringed girth of i-th；
During identification, whether elder generation's judging characteristic Ai sets up, if set up, then determines whether feature Pi；If each area ratio feature Ai meets criterion, then draw concentric circular, extract feature Pi according to concentric circular, determine whether；If the concentric circular ratio characteristic Pi of area ratio feature Ai and its correspondence can not meet standard simultaneously, then forward next region decision to, until all region decision of a frame frame complete；If having a region Ai and Pi feature the most within the specified range, then can assert that this region is target area, its center of gravity will be marked by cross, and recognition result is sent to base station by WIFI unit；Then proceed to next frame frame, repeat step one, two, three extraction frame features, carry out target recognition；
Described extended menory unit is to use 2 4M × 32bit SDRAM to synthesize 64 bit memories to receive the CEO space of processor, FLASH memory AM29LV033 using 4M × 8bit receives the CE1 space of processor, and using the GPIO mouth of processor that FLASH carries out paging, every page of size is 512K byte；
Described FPGA frame pretreatment unit is used for the digital video signal of video decoding output is carried out pretreatment, is re-fed into processor and carries out target recognition, uses FPGA to replace DSP and carry out pretreatment computing the most relatively simple for structure, with hardware, frame is carried out pretreatment.
This utility model utilizes above-mentioned covering algorithm can effectively increase the integrated level of region identification module 20, thus the integrated level of enlarged region identification module 20 and discrimination.
Wherein, the number of axle can also be detected by identification module of weighing in S100, and it comprises the steps:
When gravitational cue during weight identification module generates 2 times, then send, to the reminding module that transfinites, the signal that the number of axle is 2 axles；
When gravitational cue during weight identification module generates 3 times, then send, to the reminding module that transfinites, the signal that the number of axle is 3 axles；
When gravitational cue during weight identification module generates 4 times, then send, to the reminding module that transfinites, the signal that the number of axle is 4 axles；
When gravitational cue during weight identification module generates 5 times, then send, to the reminding module that transfinites, the signal that the number of axle is 5 axles；
When gravitational cue during weight identification module generates 6 times, then send, to the reminding module that transfinites, the signal that the number of axle is 6 axles.
Wherein, axletree number can also be detected by identification module of weighing in S100, and it comprises the steps:
The length in direction before and after identification module of weighing is configured with less than 50cm,
When identification module of weighing is when the parameter of single weight signal is more than 5t, then sends and send, to the reminding module that transfinites, the signal that transfinites.
Embodiment described above is only to be described preferred implementation of the present utility model; not scope of the present utility model is defined; on the premise of without departing from this utility model design spirit; various deformation that the technical solution of the utility model is made by those of ordinary skill in the art and improvement, all should fall in the protection domain that this utility model claims determine.
Claims (17)
1. source based on an intelligent transportation science and technology overload remediation data collecting system, it is characterised in that: include
Probe station, it is used for carrying tested vehicle, and its one end is provided with entrance, and the other end is provided with outlet；
Region identification module, it is arranged on the entrance of described probe station；
Axletree identification module, it is arranged on the side of described probe station；
Weighing identification module, in the blind hole of its bottom surface being arranged on described probe station, identification module of weighing described at least three is uniformly distributed to outlet from entrance described in probe station；With
Transfinite reminding module, and it electrically connects with Car license recognition mould, axletree identification module, identification module of weighing, and exports the signal of described region identification module, axletree identification module, identification module of weighing to terminal.
A kind of source based on intelligent transportation the most according to claim 1 science and technology overload remediation data collecting system, it is characterised in that: described axletree identification module is infrared acquisition vehicle separator, and it includes
Emitter, it is used for launching infrared light；
Receptor, it is for receiving the infrared light that described emitter is launched；With
Controller, it is for reading and process the scanning signal that emitter and receptor are formed by infrared light, it is provided that output signal；
Described emitter includes the first lampshade, ten infrared emission fluorescent tubes it are provided with in described first lampshade, described infrared emission fluorescent tube is positioned at same horizontal line, described receptor includes the second lampshade, it is provided with in described second lampshade and described infrared emission fluorescent tube infrared receiver fluorescent tube one to one, described infrared emission fluorescent tube is launched ultrared direction and is provided with transparent glass, the direction of described infrared receiver fluorescent tube receiving infrared-ray also is provided with transparent glass, described infrared emission fluorescent tube and described infrared receiver fluorescent tube connect and form scanning signal area, described controller electrically connects with described emitter and described receptor respectively, described first lampshade and the second lampshade outer surface are provided with cleaning device, described cleaning device electrically connects with described controller.
A kind of source based on intelligent transportation the most according to claim 2 science and technology overload remediation data collecting system, it is characterized in that, described first lampshade and the second lampshade all include a rectangular support, and described clear glass is installed on the bracket, and described support uses stainless steel material.
A kind of source based on intelligent transportation the most according to claim 3 science and technology overload remediation data collecting system, it is characterised in that described rectangular support frame lower end is provided with base, and described base ground is plane.
A kind of source based on intelligent transportation the most according to claim 2 science and technology overload remediation data collecting system, it is characterized in that, being provided with heater in described first lampshade and the second lampshade, described heater is connected with described controller, and described controller controls described heater and runs.
A kind of source based on intelligent transportation the most according to claim 2 science and technology overload remediation data collecting system, it is characterised in that also include that display device, described display device are connected with described controller, described display device is for showing the output signal of described controller.
A kind of source based on intelligent transportation the most according to claim 2 science and technology overload remediation data collecting system, it is characterised in that also include that alarming device, described alarming device are used for pointing out fault, described alarming device to be connected with described controller.
A kind of source based on intelligent transportation the most according to claim 7 science and technology overload remediation data collecting system, it is characterised in that described alarming device includes alarming horn.
A kind of source based on intelligent transportation the most according to claim 2 science and technology overload remediation data collecting system, it is characterised in that described controller is independently located at described emitter and the outside of described receptor.
A kind of source based on intelligent transportation the most according to claim 2 science and technology overload remediation data collecting system, it is characterised in that described cleaning device is active in described first lampshade and the outer surface of the second lampshade.
11. a kind of source based on intelligent transportation according to claim 10 science and technology overload remediation data collecting systems, it is characterized in that, described cleaning device includes storage tank, water pump, water-supply-pipe and water spout, washings in described storage tank are inputted water spout by described water-supply-pipe by described water pump, via described water spout to described first lampshade and the second lampshade outer surface spraying-rinsing.
12. a kind of source based on intelligent transportation according to claim 11 science and technology overload remediation data collecting systems, it is characterised in that described in identification module of weighing include
Weighing instrument, it is arranged on the top of blind hole of bottom surface of described probe station, and it is connected with the described reminding module that transfinites；With
Weighing axle identification sensor, it is thin film switch, and it is arranged on the bottom of blind hole of bottom surface of described probe station, and its top is provided with button, and it is when weighing instrument works, and sends working signal to the described reminding module that transfinites.
13. a kind of source based on intelligent transportation according to claim 12 science and technology overload remediation data collecting systems, it is characterized in that, also include a vehicle judging unit, described vehicle judging unit is connected with described axle identification unit, and described vehicle judging unit judges the vehicle of vehicle according to the quantity of described wheel shaft.
14. a kind of source based on intelligent transportation according to claim 13 science and technology overload remediation data collecting systems, it is characterised in that also include that one transfinites identifying unit, described in the identifying unit that transfinites be connected with described weighing instrument, vehicle judging unit respectively.
15. a kind of source based on intelligent transportation according to claim 14 science and technology overload remediation data collecting systems, it is characterized in that, also include a transmitting device, the described identifying unit that transfinites is connected with described weighing instrument, vehicle judging unit respectively by described transmitting device, and described transmitting device receives described weighing instrument, the signal of vehicle judging unit and the identifying unit that transfinites described in transmitting extremely.
16. a kind of source based on intelligent transportation according to claim 15 science and technology overload remediation data collecting systems, it is characterized in that, also including that display device and alarm device, described display device are connected with described transmitting device, described alarm device is connected with the described identifying unit that transfinites.
17. a kind of source based on intelligent transportation according to claim 16 science and technology overload remediation data collecting systems, it is characterized in that, also include communication module, described in the reminding module that transfinites electrically connected with described Car license recognition mould, axletree identification module, identification module of weighing by described communication module；
Described communication module includes
It is arranged respectively at described Car license recognition mould, axletree identification module, the car plate wireless transmitter module weighed on identification module, axletree wireless transmitter module, wireless transmitter module of weighing；
With described car plate wireless transmitter module, axletree wireless transmitter module, the wireless receiving module of wireless transmitter module wireless connections of weighing；With
The server being connected with institute's wireless receiving module and the described reminding module that transfinites respectively.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507420A (en) * | 2017-08-15 | 2017-12-22 | 深圳智慧车联科技有限公司 | Overload of vehicle monitoring method, system and vehicle |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507420A (en) * | 2017-08-15 | 2017-12-22 | 深圳智慧车联科技有限公司 | Overload of vehicle monitoring method, system and vehicle |
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