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TWI579809B - Vehicle ID Code Matching Method - Google Patents

Vehicle ID Code Matching Method Download PDF

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Publication number
TWI579809B
TWI579809B TW104132665A TW104132665A TWI579809B TW I579809 B TWI579809 B TW I579809B TW 104132665 A TW104132665 A TW 104132665A TW 104132665 A TW104132665 A TW 104132665A TW I579809 B TWI579809 B TW I579809B
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Taiwan
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identification code
class
matching
correspondence table
identification
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TW104132665A
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Chinese (zh)
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TW201714151A (en
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Bo-Wen Lu
Su-Wei Xu
Shao-Sheng Tong
jia-lin Liu
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Chunghwa Telecom Co Ltd
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Description

車輛識別碼匹配方法 Vehicle identification code matching method

本發明有關於一種識別碼匹配方法,利用函數值呈現同一物品上存有之兩種識別碼間之對應程度,並藉此反覆訓練並建立多個物品間之兩種識別碼對應表,藉由其中一識別碼可找出最可能符合同一物品之另一識別碼。 The invention relates to an identification code matching method, which uses function values to represent the correspondence degree between two identification codes stored on the same item, and thereby repeatedly trains and establishes two identification code correspondence tables between multiple items, by One of the identification codes identifies another identification code that most likely matches the same item.

目前國內高速公路電子收費系統由原本的紅外線DSRC改採用RFID技術作為車輛通行費的計算基礎,RFID標籤(遠通電收命名為eTag)因其尺寸優勢,目前用戶數已超過6百萬,相關應用將有著很大的商機。 At present, the domestic highway electronic toll collection system uses the original infrared DSRC to adopt RFID technology as the calculation basis for vehicle tolls. The RFID tag (the remote power collection is named eTag) has more than 6 million users due to its size advantage. There will be great business opportunities.

在車籍資料未公開情況下,RFID讀取器與車牌辨識可分別取得RFID標籤識別碼及車牌號碼,但無法確認兩者間之關係。 In the case where the vehicle information is not disclosed, the RFID reader and the license plate identification can obtain the RFID tag identification code and the license plate number, respectively, but the relationship between the two cannot be confirmed.

一般車牌識別系統,因照明、車牌顏色、汙損等諸多因素,存在辨識錯誤之可能性無可避免,因此使用車牌號碼來做為車輛的唯一識別碼,除了存在假車牌之合法性議題外,若要提高辨識率也將存在很大的技術性問題。 General license plate recognition system, due to lighting, license plate color, fouling and other factors, the possibility of identification errors is inevitable, so the use of the license plate number as the vehicle's unique identification code, in addition to the legality of the fake license plate, There are also many technical problems to improve the recognition rate.

常見車牌辨識與其他識別碼之匹配方式,主要透過兩者資料輸入時間的時間差來進行,其係透過同步觀察兩種資料的讀取或觸發時間,若兩者的時間差越小,則可視為同一部車輛,然而在多車道自由流的情況下,勢必造成匹配 的困難,而必要時將增加後續使用人工辨識之成本。 The matching method between common license plate recognition and other identification codes is mainly carried out by the time difference between the data input time of the two, which is to observe the reading or triggering time of the two kinds of data synchronously. If the time difference between the two is smaller, it can be regarded as the same. Vehicles, however, in the case of multi-lane free flow, it is bound to cause a match Difficulties, and if necessary, will increase the cost of subsequent manual identification.

為了解決上述問題,整合此兩種技術是一種創新性且有助於提升車輛辨識系統效能的關鍵技術。 In order to solve the above problems, the integration of these two technologies is a key technology that is innovative and helps to improve the performance of the vehicle identification system.

本發明提出針對具有兩種識別碼之物品的識別碼匹配方法,此方法中利用一函數值呈現兩識別碼間之對應程度,並藉此建立多個物品間之兩種識別碼對應表,藉由其中一識別碼可找出最可能符合同一物品之另一識別碼。 The invention provides an identification code matching method for an item having two identification codes, wherein a function value is used to represent the correspondence degree between two identification codes, and thereby establishing two identification code correspondence tables between a plurality of articles, From one of the identification codes, another identification code that most likely matches the same item can be found.

本發明應用在識別車輛RFID標籤識別碼及車牌號碼時,在未知車輛資料情況下,管理者經由RFID系統讀取到車輛所具有之RFID標籤識別碼,可經由查表方式找出最佳對應之車牌號碼,並確認其與經由車牌辨識產生之車牌號碼之一致性,同時車牌辨識之結果亦可做為識別碼對應表的訓練資料。 The invention is applied to identify the RFID tag identification code and the license plate number of the vehicle. In the case of unknown vehicle data, the administrator reads the RFID tag identification code of the vehicle through the RFID system, and can find the best corresponding by means of table lookup. The license plate number is confirmed and the consistency with the license plate number generated by the license plate recognition, and the result of the license plate recognition can also be used as the training material of the identification code correspondence table.

假設若一物品具有A與B兩類識別碼且存在一系統具有可讀取一感測範圍內物品的A與B識別碼之功能,以下將以A為主要識別碼且B為對應識別碼進行說明,反之亦然。 It is assumed that if an item has two types of identification codes A and B and there is a system having the function of reading the A and B identification codes of the items in a sensing range, the following will take A as the main identification code and B as the corresponding identification code. Explain, and vice versa.

當有多個物品同時通過本發明系統之感應讀取範圍時,例如國道上eTag的感應門柱感應範圍,此時系統將根據不同的偵測方式偵測同一物品的兩種識別碼,如國道上通過攝影器材攝得的汽車之車牌號碼以及以RFID讀取eTag的辨識結果,系統將產生m筆不同之A類識別碼(車牌號碼)及n筆B類識別碼(eTag辨識結果),其中,將系統於時間點t A,i 產生之A類識別碼定義為ID A ,而第i筆的A類識別碼係為 ID A,i ,而系統於t A,i ±T D,MAX 的時間內產生之B類識別碼的筆數定義為n i ,系統於時間點t B,j 所讀取到的第j筆B類識別碼定義為ID B,j j=1...n i n i n,系統產生ID A,i ID B,j 之時間差須要滿足條件 上述abs( )係為絕對值函數,而T D,MAX 為本發明之系統所容許讀出同一物品之A類識別碼及B類識別碼的最大時間差。 When there are multiple items simultaneously passing through the sensing reading range of the system of the present invention, for example, the sensing column sensing range of the eTag on the national road, the system will detect two identification codes of the same item according to different detection methods, such as on the national road. captured by the imaging equipment, automobiles and the license plate number to the RFID reader eTag identification result, the system will generate different m a pen type identifier (license plate number) and B n pen identification code (recognition result eTag), wherein The class A identification code generated by the system at time point t A,i is defined as ID A , and the class A identification code of the i-th pen is ID A,i , and the time of the system is t A,i ± T D,MAX The number of pens of the B-type identification code generated inside is defined as n i , and the J-th class B identification code read by the system at the time point t B,j is defined as ID B,j , j =1... n i And n i n , the system generates ID A, i and ID B, j time difference must meet the conditions The above abs ( ) is an absolute value function, and T D, MAX is the maximum time difference between the type A identification code and the class B identification code that the system of the present invention allows to read the same item.

本發明可使用批次或是持續更新的方式建立一識別碼對應表,該識別碼對應表係用以查找物件的A類識別碼與B類識別碼的匹配關係之集合,其中,一列A類識別碼與B類識別碼的匹配關係包含有ID A ID B T B C B W等資料欄位,其中ID A 為一A類識別碼,ID B 為一B類識別碼;而T C C B W等資料欄位則為此ID A ID B 之匹配參數,其中,T B 為此ID B 的輸入時間,C B 為此ID B 的累計輸入次數(初始值為0),W為此ID A ID B 之匹配比重;當系統讀取輸入一ID A 與一ID B 時,在該識別碼對應表上之匹配關係之各資料欄位設定規則分別如下列公式(2)~(6)所示:ID A =ID A,i ....公式(2) The invention can establish an identification code correspondence table by using a batch or a continuous update manner, and the identification code correspondence table is used for finding a matching relationship between the class A identification code of the object and the class B identification code, wherein a column A class The matching relationship between the identification code and the class B identification code includes data fields such as ID A , ID B , T B , C B , W, etc., wherein ID A is a class A identification code, and ID B is a class B identification code; T C, C B, W and other data fields match the parameters for this ID a and ID B of wherein, T B of this input time ID B, C B is the cumulative number of inputs ID B (initial value 0 for this ), W is the matching proportion of ID A and ID B ; when the system reads input ID A and ID B , the data field setting rules of the matching relationship on the identification code correspondence table are respectively as follows ( 2)~(6): ID A = ID A, i .... formula (2)

ID B =ID B,j ....公式(3) ID B = ID B,j ....Formula (3)

T B (k)=t B,j ....公式(4) T B ( k )= t B,j ....Formula (4)

C B (k)=C B (k-1)+1....公式(5) C B ( k )= C B ( k -1)+1....formula (5)

W(k)=f w (t A,i ,T B (k),C B (k))....公式(6)其中,k為同一ID A,i ID B,j 匹配關係之輸入(包含新增或更新)次序編號,然後f w 為一由t A,i T B (k)、C B (k)所組成之函數。 W ( k )= f w ( t A,i ,T B ( k ) , C B ( k )).... (6) where k is the same ID A, i and ID B, j match relationship Enter (including new or updated) the sequence number, then f w is a function of t A,i , T B ( k ), C B ( k ).

本發明與以往技術相比有著以下較佳功效: Compared with the prior art, the invention has the following better effects:

在車籍資料未公開情況下,RFID讀取器與車牌 辨識可分別取得RFID標籤識別碼及車牌號碼,但無法確認兩者間之關係,本發明可藉由批次或即時之資料輸入建立兩種識別碼之對應關係。 RFID reader and license plate when the vehicle information is not disclosed The identification can obtain the RFID tag identification code and the license plate number separately, but the relationship between the two cannot be confirmed. The present invention can establish the correspondence between the two identification codes by batch or instant data input.

一般車牌識別系統,因影像解析度、照明、車牌顏色、汙損等諸多因素,存在辨識錯誤之可能性,因此使用車牌號碼來做為車輛的唯一識別碼,除了存在假車牌之合法性議題外,若要提高辨識率將存在著技術性問題。若使用本發明建立RFID標籤與車牌之匹配關係,可提供具有RFID標籤之車輛的最佳對應車牌號碼,進而降低因車牌辨識錯誤所造成的假警報。 The general license plate recognition system has the possibility of identifying errors due to many factors such as image resolution, illumination, license plate color, and fouling. Therefore, the license plate number is used as the unique identification code of the vehicle, except for the legality of the fake license plate. There are technical problems to improve the recognition rate. If the present invention is used to establish a matching relationship between the RFID tag and the license plate, the best corresponding license plate number of the vehicle with the RFID tag can be provided, thereby reducing the false alarm caused by the license plate identification error.

常見車牌辨識與其他識別碼之匹配方式,主要透過兩者資料輸入時間的時間差來進行,其係透過同步兩種資料的讀取或觸發時間,若兩者的時間差越小,則視為同一部車輛,然而在多車道自由流的情況下,將造成匹配的困難,必要時將增加人工辨識之成本。本發明可透過持續性歷史資料的訓練,可得到最佳的匹配車牌號碼,以加速非登錄客戶車輛的處理。 The matching between common license plate recognition and other identification codes is mainly based on the time difference between the data input time. The reading or triggering time of the two data is synchronized. If the time difference between the two is smaller, it is regarded as the same part. Vehicles, however, in the case of multi-lane free flow, will cause difficulties in matching and will increase the cost of manual identification if necessary. The invention can obtain the best matching license plate number through the training of continuous historical data to accelerate the processing of the non-login customer vehicle.

S101~S116‧‧‧步驟流程 S101~S116‧‧‧Step procedure

S201~S208‧‧‧步驟流程 S201~S208‧‧‧Step procedure

3011‧‧‧第一前端設備群組 3011‧‧‧First front-end device group

3011A‧‧‧RFID讀取器 3011A‧‧‧RFID reader

3011B‧‧‧車牌影像辨識系統 3011B‧‧‧ License Plate Image Identification System

3012‧‧‧第二前端設備群組 3012‧‧‧Second front-end device group

3012A‧‧‧RFID讀取器 3012A‧‧‧RFID reader

3012B‧‧‧車牌影像辨識系統 3012B‧‧‧ License Plate Image Identification System

302‧‧‧第一通訊介面 302‧‧‧First Communication Interface

303‧‧‧控制伺服器群組 303‧‧‧Control server group

304‧‧‧第二通訊介面 304‧‧‧Second communication interface

305‧‧‧識別碼對應表資料庫 305‧‧‧ID code correspondence table database

3051‧‧‧eTag EPC與車號對應表 3051‧‧‧eTag EPC and car number correspondence table

3052‧‧‧eTag EPC與手機門號對應表 3052‧‧‧eTag EPC and mobile phone number correspondence table

306‧‧‧應用伺服器 306‧‧‧Application Server

4011‧‧‧基地台 4011‧‧‧Base Station

4012‧‧‧基地台 4012‧‧‧Base Station

402‧‧‧行動通訊網路應用伺服器 402‧‧‧Mobile Communication Network Application Server

圖1為本發明車輛識別碼匹配方法中的A與B類識別碼對應表建立流程的示意圖。 FIG. 1 is a schematic diagram showing a flow of establishing a correspondence table of A and B identification codes in a method for matching a vehicle identification code according to the present invention.

圖2為本發明車輛識別碼匹配方法中的A與B類識別碼對應表的查詢流程示意圖。 2 is a schematic diagram of a query flow of a correspondence table of A and B identification codes in a method for matching a vehicle identification code according to the present invention.

圖3為本發明車輛識別碼匹配方法實施例一的系統架構示意圖。 FIG. 3 is a schematic structural diagram of a system architecture of a first embodiment of a method for matching a vehicle identification code according to the present invention.

圖4為本發明車輛識別碼匹配方法實施例二的系統架構示意圖。 4 is a schematic diagram of a system architecture of a second embodiment of a vehicle identification code matching method according to the present invention.

為了使本發明的目的、技術方案及優點更加清楚明白,下面結合附圖及實施例,對本發明進行進一步詳細說明,此處所描述的具體實施例僅用以解釋本發明,並不用於限定本發明。 The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. .

本發明之車輛識別碼匹配方法中所述的A與B類識別碼對應表建立流程如圖1所示,步驟S101流程開始,識別碼對應表建立流程開始後,進行步驟S102等待識別碼輸入,以批次或即時方式等待識別碼輸入,亦即輸入m筆不同之A類識別碼以及n筆B類識別碼,為了建立此些A類識別碼與B類識別碼的匹配關係,步驟S103取得第i筆A類識別碼及相對應筆數之B類識別碼,該第i筆A類識別碼為ID A,i ,而相對應筆數B類識別碼為n i 筆B類識別碼,其中該n i 筆B類識別碼須滿足公式(1)abs(t A,i -t B,j ) T D,MAX ,並由此第n i 筆B類識別碼進行步驟S104取得第j筆B類識別碼,該第j筆B類識別碼表示為ID B,j ,而後進行檢查步驟S105識別碼對應表中是否存在第i筆A類識別碼(ID A,i )與第j筆B類識別碼(ID B,j )的匹配關係,若是,則進行步驟S106更新識別碼對應表之已存在匹配關係,其中主要為更新T B C B 兩資料欄位;若步驟S106判斷結果為否,則進行步驟S107新增一匹配關係至識別碼對應表,其中主要係建立未包含匹配比重W欄位的其他參數。 The process of establishing the correspondence table of the A and B identification codes in the vehicle identification code matching method of the present invention is as shown in FIG. 1. The process of step S101 is started. After the process of establishing the identification code correspondence table is started, the process proceeds to step S102 to wait for the identification code to be input. in batch mode or real time waiting for the identification code input, i.e. input a except the pen-based identification code m and B n pen identification code, in order to establish the matching relationship of such class a and class B PIN identification code acquired in step S103 The i- type A-type identification code and the corresponding-numbered B-type identification code, the i-th type A-type identification code is ID A, i , and the corresponding-number B-type identification code is n i- pen B-type identification code, Where the n i pen B class identification code must satisfy the formula (1) abs ( t A, i - t B, j ) T D,MAX , and thus the n- th pen B-type identification code proceeds to step S104 to obtain the j-th B-type identification code, the j-th B-type identification code is represented as ID B,j , and then the inspection step S105 is performed. Whether there is a matching relationship between the i-th class A identification code ( ID A, i ) and the j-th class B identification code ( ID B, j ) in the correspondence table, and if yes, proceeding to step S106 to update the existing existence of the identification code correspondence table The matching relationship is mainly to update the two data fields of T B and C B ; if the result of the determination in step S106 is no, then step S107 is added to add a matching relationship to the identification code correspondence table, wherein the main establishment does not include the matching proportion W column. Other parameters of the bit.

如圖1所示,再來係確認步驟S108是否完成建 立所有B類識別碼(ID B )的匹配關係(此時欄位資料尚未完整),若否,則返回執行步驟S104,以取得下一筆資料;若步驟S108結果為是,則再進行匹配比重的計算與更新,並刪除匹配比重低於一定程度的匹配關係,旨在避免對應表之資料量體無限制成長;其程序是首先執行步驟S109查詢對應表中所有包含第i筆A類識別碼(ID A,i )之匹配關係集合,該匹配關係集合表示為S i ,再來步驟S110取出該匹配關係集合(S i )中第z筆匹配關係,該第z筆匹配關係表示為M z ,並更新對應表中之M z 的匹配比重W,而後執行確認步驟S111第z筆匹配關係是否滿足刪除條件,該刪除條件設定為L 1,若是,則執行步驟S112刪除對應表之第z筆匹配關係;若否,則執行步驟S113更新對應表中之第z筆匹配關係;接著,執行確認步驟S114是否完成該匹配關係集合(S i )中所有匹配關係之更新或刪除,若否,返回執行步驟S110取得下一筆資料,若步驟S114結果為是,則進行步驟S115是否完成建立所有A類識別碼(ID A )匹配關係,若步驟S114結果為否,返回執行步驟S103取得下一筆資料,亦即滿足公式(1)的n i 筆之B類識別碼;若步驟S115結果為是,則進入步驟S116流程結束。 As shown in FIG. 1, it is confirmed whether the matching relationship of all the class B identification codes ( ID B ) is completed in step S108 (the field information is not yet complete), and if not, the process returns to step S104 to obtain the next If the result of step S108 is YES, then the calculation and update of the matching proportion is performed, and the matching relationship whose matching proportion is lower than a certain degree is deleted, so as to avoid unrestricted growth of the data volume of the corresponding table; the program is the first step S109 queries all the matching relationship sets in the correspondence table that include the i-th A-type identification code ( ID A, i ), the matching relationship set is represented as S i , and then the step S110 takes out the z- th in the matching relationship set ( S i ) a pen matching relationship, the z- th pen matching relationship is expressed as M z , and the matching weight W of the M z in the corresponding table is updated, and then the confirmation step S111 performs the z- th matching relationship to satisfy the deletion condition, and the deletion condition is set to L 1 if yes, the z pen step S112 to delete the matching relationship of the correspondence table is performed; if not, step S113 updates the first pen z matching relationship of the correspondence table; then, performs step S114 to confirm whether the matching is completed off Set (S i) of all updates matching relationship in or deleted, if not, returns to step S110 to obtain the next piece of data, if the step S114 is yes, then step S115 is completed to establish all Class A identification code (ID A) matches If the result of step S114 is NO, the process returns to step S103 to obtain the next data, that is, the class B identification code of the n i pen satisfying the formula (1); if the result of step S115 is YES, the process proceeds to step S116.

識別碼對應表的查詢流程如圖2所示,先是步驟S201識別碼對應表查詢流程開始,取得待查之A類識別碼,係為步驟S202輸入識別碼第i筆A類識別碼(ID A,i ),此識別碼ID A 係為查詢識別碼對應表之依據,接著查詢識別碼對應表之ID A 欄位,以找出所有包含此待查ID A,i 之所有紀錄,即為進行步驟S203查詢識別碼對應表並取得含有第i筆A類識別碼之匹配關係集合(S i ),再執行S204取得該匹配關係集合中具有最大比重之B類識別碼,為了判斷所取用之匹配關係是否正確, 執行判斷步驟S205是否符合一取用條件,該取用條件設定為L 2,若是,則此匹配關係具有高正確率,而執行建議使用步驟S206正確率高之匹配關係;若否,則此匹配關係具過低之正確率,而進行不建議使用步驟S207正確率低之匹配關係,最後完成查詢流程步驟S208流程結束。 The query flow of the identification code correspondence table is as shown in FIG. 2 . First, in step S201, the identification code correspondence table query process starts, and the A-type identification code to be checked is obtained. In step S202, the identification code i-th A-type identification code ( ID A is input. , i ), the identification code ID A is the basis of the query identification code correspondence table, and then the ID A field of the identification code correspondence table is queried to find all the records including the ID A, i to be checked, that is, proceeding Step S203: querying the identifier correspondence table and obtaining a matching relationship set ( S i ) including the ith type A identification code, and then executing S204 to obtain the class B identification code having the largest proportion in the matching relationship set, in order to determine the used Whether the matching relationship is correct, whether the execution determining step S205 meets an access condition, the access condition is set to L 2 , and if so, the matching relationship has a high correct rate, and the recommendation uses the matching relationship with the correct rate of step S206; If no, the matching relationship has a low accuracy rate, and it is not recommended to use the matching relationship with the correct rate in step S207. Finally, the process of completing the query process is completed.

本發明之一實施例,應用於車載設備識別碼與車牌號碼上,先前技術中利用攝影監視影像進行車牌識別的系統,會因為影像解析度、照明、車牌顏色、汙損等多種因素使得錯誤率偏高,因此一般車輛辨識應用系統,例如實施於國道電子收費系統的車輛交易系統,多採用成功率高的短距離通訊系統,例如紅外線特定短距離通訊(Dedicated short-range communications,DSRC)或射頻標籤(Radio Frequency Identification,RFID)系統,在須要時額外輔以影像車牌識別系統,以核查未安裝短距離通訊系統之車載設備(Infrared On Board Unit或eTag)之車輛,以確保所有車輛(包含車載設備失效或未登錄之車輛)都能通過系統正確辨識且交易,然此時,系統需要將通訊系統之車載設備識別碼與車牌辨識系統之車號進行配對,以分別篩選出已登錄及未登錄之車輛以進行後續不同的繳款作業。而一般匹配方法是以兩者在同一地點之車載設備識別碼與車牌辨識資料輸入時間的時間差來進行判讀兩者是否歸屬於同一車輛,若兩者的時間差小於一定值則判斷為同一車輛,但即使短距離通訊系統及車牌影像辨識系統時間同步,子系統間各自讀取或觸發之時間也不同,而實務方面,在多車道自由流的情況下,相鄰多車同時通過或是跨車道的感應會造成系統匹配困難,增加後續以人工辨識未匹配部份的工作負擔。 An embodiment of the present invention is applied to an in-vehicle device identification code and a license plate number. In the prior art, a system for recognizing a license plate using a photographic surveillance image may cause an error rate due to various factors such as image resolution, illumination, license plate color, and stain. Highly, general vehicle identification applications, such as vehicle trading systems implemented in national electronic toll collection systems, use short-range communication systems with high success rates, such as Dedicated Short-range Communications (DSRC) or RF. The Radio Frequency Identification (RFID) system is supplemented with an image license plate recognition system when necessary to check the vehicles of the Infrared On Board Unit (eTag) without the short-range communication system to ensure all vehicles (including the vehicle) If the equipment fails or the vehicle is not logged in, it can be correctly identified and traded by the system. At this time, the system needs to match the vehicle equipment identification code of the communication system with the vehicle number of the license plate recognition system to separately filter the logged in and not logged in. Vehicles for subsequent different payment operations. The general matching method is to determine whether the two are attributed to the same vehicle by the time difference between the in-vehicle device identification code and the license plate identification data input time at the same place. If the time difference between the two is less than a certain value, the same vehicle is determined, but Even if the short-distance communication system and the license plate image recognition system are time-synchronized, the time for reading or triggering between subsystems is different. On the practical side, in the case of multi-lane free flow, adjacent vehicles pass through or cross the lane at the same time. Induction can make system matching difficult, and increase the workload of manually identifying unmatched parts.

本發明之重點在通過包含讀取次數及讀取時間的函數賦予某一車載設備識別碼與某一車牌號碼一匹配比重,因此,當某一車輛通過系統的同時,系統將其車載設備識別碼與同時通過的多部車輛之車牌號碼皆建立匹配關係,而經過多次的感應與匹配後,正確的匹配關係的比重將會提高,因此透過以匹配比重排序單一車載設備識別碼之所有匹配關係後,將可得到比重最高之最佳匹配車號,若將本發明應用於國道電子收費系統,其中車載設備以使用RFID系統為例且採用eTag的EPC(Electronic Product Code)外碼當作本發明之匹配方法中之A類識別碼及車牌號碼當作B類識別碼,其系統架構如圖3所示,包含多個前端設備群組(由第一前端設備群組3011、第二前端設備群組3012表示,可以延伸更多個前端設備群組),其係由不同地點所裝設之多部RFID讀取器(圖中以RFID讀取器3011A、RFID讀取器3012A表示)及多部車牌影像辨識系統(圖中以車牌影像辨識系統3011B、車牌影像辨識系統3012B表示)所組成,此前端設備群組透過一第一通訊界面302(例如Ethernet介面)連接至控制伺服器群組303,控制伺服器群組可包含複數個控制伺服器,由該些控制伺服器設定並控制該前端設備群組中的多部RFID讀取器及多部車牌影像辨識系統,控制伺服器群組再透過一第二通訊介面304,連接至識別碼對應表資料庫305,在控制伺服器群組303上實現eTag識別碼與車牌號碼之匹配方法,該匹配方法之識別碼建立程序將在識別碼對應表資料庫305上建立一eTag EPC與車號對應表3051;此外,一應用伺服器306(例如電子收費應用伺服器)用以設定前端設備並取得交易識別碼與車輛影像以進行對應繳費流程,其透過通訊介面304與控制伺服 器群組303及識別碼對應表資料庫305連結,在車輛通過後,該應用伺服器306可查詢識別碼對應表資料庫305以取得eTag EPC與車號的匹配關係。 The focus of the present invention is to give an in-vehicle device identification code a matching proportion with a certain license plate number by a function including the number of readings and the reading time. Therefore, when a certain vehicle passes through the system, the system sets its in-vehicle device identification code. The matching relationship is established with the license plate numbers of multiple vehicles passing at the same time. After multiple sensing and matching, the proportion of the correct matching relationship will be increased. Therefore, all the matching relationships of the single in-vehicle device identification codes are sorted by matching proportions. After that, the best matching car number with the highest specific gravity will be obtained. If the present invention is applied to a national highway electronic toll collection system, the in-vehicle device adopts an EPC (Electronic Product Code) outer code using an RFID system as an example of the present invention. The class A identification code and the license plate number in the matching method are regarded as the class B identification code, and the system architecture thereof is as shown in FIG. 3, and includes a plurality of front end device groups (by the first front end device group 3011 and the second front end device group). Group 3012 indicates that more front-end device groups can be extended, which are multiple RFID readers installed in different locations (in the figure, RFID readers 3011A, R) The FID reader 3012A is represented by a plurality of license plate image recognition systems (indicated by the license plate image recognition system 3011B and the license plate image recognition system 3012B), and the front end device group is transmitted through a first communication interface 302 (for example, an Ethernet interface). Connected to the control server group 303, the control server group may include a plurality of control servers, and the control server sets and controls multiple RFID readers and multiple license plate images in the front-end device group The identification system, the control server group is connected to the identification code correspondence table database 305 through a second communication interface 304, and the matching method of the eTag identification code and the license plate number is implemented on the control server group 303, and the matching method is The identification code establishing program will establish an eTag EPC and car number correspondence table 3051 on the identification code correspondence table database 305; in addition, an application server 306 (for example, an electronic charging application server) is used to set the front end device and obtain the transaction identification code. Corresponding to the vehicle image for the corresponding payment process, through the communication interface 304 and the control servo The device group 303 and the identification code correspondence table database 305 are connected. After the vehicle passes, the application server 306 can query the identification code correspondence table database 305 to obtain the matching relationship between the eTag EPC and the vehicle number.

本實施例中,匹配方法之細部參數設置如下:設定公式(1)abs(t A,i -t B,j ) T D,MAX T D,MAX 為3秒,亦即容許eTag輸入與車牌辨識結果輸入有最大3秒的時間差,該值可依據系統實際運作環境需求由系統操作者調整;公式(2)~(5)如下:ID A =ID A,i ....公式(2) In this embodiment, the detailed parameters of the matching method are set as follows: setting formula (1) abs ( t A, i - t B, j ) T D, MAX T D, MAX is 3 seconds, which means that the eTag input and the license plate identification result input have a maximum time difference of 3 seconds, which can be adjusted by the system operator according to the actual operating environment requirements of the system; formula (2)~ (5) as follows: ID A = ID A, i .... formula (2)

ID B =ID B,j ....公式(3) ID B = ID B,j ....Formula (3)

T B (k)=t B,j ....公式(4) T B ( k )= t B,j ....Formula (4)

C B (k)=C B (k-1)+1....公式(5)為資料移動之設定演算法;公式(6):W(k)=f w (t A,i ,T B (k),C B (k))中之匹配比重函數f W 之一實施例為公式(7):,其中f C 係為匹配關係中之B類識別碼ID B 的累計輸入次數函數,其定義設計如公式(8):f C =1+log(C B ),其中C B 為此匹配關係中之B類識別碼ID B,j 的累計輸入次數(以下省略輸入次序編號k),log(C B )為以10為基底對C B 取對數之對數函數,而f T 為匹配關係中A類識別碼ID A 的輸入時間與B類識別碼ID B 的輸入時間差函數,其定義設計如公式(9):f T =1+abs(t A,i -T B ),其中t A,i 為第i個該A類識別碼ID A,i 的輸入時間,T B 為匹配關係中之B類識別碼ID B 的輸入時間,abs(t A,i -T B )則係為上述兩時間之時間差的絕對值, 且t A,i T B 皆為以日為單位之浮點數值。 C B ( k )= C B ( k -1)+1....Formula (5) is the algorithm for setting the data movement; formula (6): W ( k )= f w ( t A,i ,T An example of a matching specific gravity function f W in B ( k ) , C B ( k )) is equation (7): , where f C is the cumulative input number function of the class B identification code ID B in the matching relationship, and its definition is designed as equation (8): f C =1+ log ( C B ), where C B is the matching relationship The cumulative input number of the class B identification code ID B,j (the input sequence number k is omitted below), log ( C B ) is the logarithm function of the logarithm of C B on the basis of 10, and f T is the class A of the matching relationship The input time difference between the input code of the identification code ID A and the class B identification code ID B is defined as the formula (9): f T =1+ abs ( t A,i - T B ), where t A,i is The input time of the i- th class A identification code ID A, i , T B is the input time of the class B identification code ID B in the matching relationship, and abs ( t A, i - T B ) is the above two time The absolute value of the time difference, and t A,i and T B are floating point values in days.

公式(1)中較大的T D,MAX 容許較慢車速所產生的資料輸入時間差,但也將可能在車流量大時產生較多的匹配關係,而增加識別碼對應表的資料量體,相對的,識別碼對應表建立流程中具有刪除條件L 1,則是控制識別碼對應表資料量體的一個主動限制條件,較寬鬆的條件將使對應表保留較多的匹配關係,而較嚴格的條件,會造成使用量稀少的車輛之匹配關係因識別碼輸入次數少或間隔時間久遠而被系統刪除,例如限制條件L 1可設計如公式(10):SizeOf(S i )>5,以保留最多5個匹配比重最高的匹配關係,則其中SizeOf(S i )為取得包含此ID A,i 之所有匹配關係集合S i 的匹配關係數,且其中S i 已依據匹配比重排序。 In the formula (1), the larger T D, MAX allows the data input time difference generated by the slower speed, but it may also generate more matching relationship when the traffic volume is large, and increase the data volume of the identification code correspondence table. In contrast, the identification code correspondence table establishment process has a deletion condition L 1 , which is an active restriction condition for controlling the data volume of the identification code correspondence table, and a looser condition will make the correspondence table retain more matching relationships, and is more strict. The condition that causes the matching relationship of vehicles with rare usage is deleted by the system due to the small number of input codes or long intervals. For example, the constraint condition L 1 can be designed as Equation (10): SizeOf ( S i )>5, A maximum of 5 matching relationships with the highest proportion of matching are retained, where SizeOf ( S i ) is the number of matching relationships for all matching relationship sets S i including this ID A, i , and where S i has been sorted according to the matching proportion.

另一方面,若希望查詢時能篩選累計次數10次以上且前次輸入時間在30日以內之匹配關係(此時其匹配比重值計算方式為),則查詢流程中的取用條件L 2設置為公式(11):C B 10且W W ACCU,LDATE 當以即時且持續方式更新識別碼對應表時,查詢匹配關係時須注意是否包含此次之更新匹配比重,因系統由前端識別碼輸入設備讀入ID A ID B 的時間不盡相同,故系統於t A 時不確定另一識別碼ID B 是否存在,此時以ID A 查詢匹配ID B 之匹配比重W,可能是前一次ID B 的匹配比重W(k-1),也可能是此次ID B 的匹配比重W(k)。但若在車輛經常且反覆地出現情況下,單一次的匹配無法單獨主宰匹配比重,此時,無論使用匹配比重W(k)或W(k-1)皆不會影響匹配結果,若須明確地採用其中一種比重時,可採以下方案:(一)可採用系統延遲至一時間t D1t D1>t B +T D,MAX 時再進行匹配參數的更新,以確 保於t A 時所查詢之匹配比重仍係為前一次ID B 的匹配比重W(k-1)、(二)若系統可以確保t A >t B 或延遲至一時間t D2t D2>t A +T D,MAX 時再查詢,則查詢之匹配比重均是此次ID B 的匹配比重W(k)。 On the other hand, if you want to query, you can filter the cumulative number of times more than 10 times and the previous input time is within 30 days. ), the access condition L 2 in the query flow is set to equation (11): C B 10 and W W ACCU, LDATE When updating the identification code correspondence table in an immediate and continuous manner, it is necessary to pay attention to whether the update matching proportion is included when querying the matching relationship, because the system does not read the ID A and ID B time by the front end identification code input device. do the same, so the system is not sure whether the other identification code is present in the ID B t a, ID a case in order to match the query matches the ID B gravity W, the proportion may be prior match W (k -1) ID B of It may also be the matching weight W ( k ) of this ID B. However, if the vehicle frequently and repeatedly appears, the single match cannot directly dominate the matching weight. In this case, the matching weight W ( k ) or W ( k -1) will not affect the matching result. When one of the specific gravity is used, the following scheme can be adopted: (1) The system delay can be used until a time t D 1 and t D 1 > t B + T D, MAX , and then the matching parameters are updated to ensure that t A The matching weight of the query is still the matching weight W ( k -1) of the previous ID B , (2) if the system can ensure t A > t B or delay to a time t D 2 and t D 2 > t A + T D, MAX then query, then the matching weight of the query is the matching weight W ( k ) of the ID B.

本發明之實施例二,應用於在無eTag登錄用戶資料前提下建立eTag使用者資料庫,系統業者可建立兩個識別碼對應表,一種是eTag EPC對車號對應表(如實施例一);而其二是eTag EPC對手機門號(或IMEI)對應表,使用本發明之應用系統其系統架構如圖4所示,應用系統中除了納入實施例一的系統架構外,控制伺服器群組303更透過通訊介面304連接至行動通訊系統應用伺服器402,並藉以取得涵蓋複數地點的多個基地台(圖中由基地台4011以及基地台4012表示)的用戶手機門號資料,在控制伺服器群組303上,亦實現一eTag識別碼與手機門號之匹配方法,此匹配方法之識別碼建立程序將在識別碼對應表資料庫305上建立一eTag EPC與手機門號對應表3052,其中,例如一系統RFID讀取器3011A的架設位置屬於一行動通訊基地台4011之涵蓋範圍,使用eTag的EPC當作A類識別碼,可使用手機的門號當作B類識別碼;當使用者之車輛通過RFID讀取器3011A時,系統查詢當時在行動通訊基地台4011之涵蓋範圍內的所有手機門號,並在eTag識別碼對手機門號之對應表中建立此車eTag的EPC與所有門號的匹配關係。 The second embodiment of the present invention is applied to establish an eTag user database under the premise of no eTag login user data, and the system provider can establish two identification code correspondence tables, and one is an eTag EPC to car number correspondence table (such as the first embodiment). The second is the eTag EPC to the mobile phone number (or IMEI) correspondence table, the system architecture of the application system using the present invention is shown in FIG. 4, and the application system includes the system architecture except the first embodiment, and the control server group. The group 303 is further connected to the mobile communication system application server 402 through the communication interface 304, and thereby obtains the user mobile phone number data of the plurality of base stations (represented by the base station 4011 and the base station 4012 in the figure) covering the plurality of locations, and is controlled. On the server group 303, a matching method between the eTag identification code and the mobile phone door number is also implemented. The identification code establishing program of the matching method establishes an eTag EPC and mobile phone door number correspondence table 3052 on the identification code correspondence table database 305. For example, the location of the installation of the system RFID reader 3011A belongs to a mobile communication base station 4011, and the EPC of the eTag is used as the class A identification code, and the door number of the mobile phone can be used. As the Class B identification code; when the user's vehicle passes the RFID reader 3011A, the system queries all the mobile phone door numbers in the coverage area of the mobile communication base station 4011 at that time, and the correspondence table between the eTag identification code and the mobile phone door number. The matching relationship between the EPC of this car eTag and all the door numbers is established.

請繼續參照圖4,其中最大時間差T D,MAX 、匹配比重函數f W 及刪除條件L 1可參照實施例一進行設定,eTag識別碼對手機門號對應表經過訓練後,該EPC匹配到正確手機門號之匹配比重將逐漸提升,直到大於匹配至其他非正確手機 門號之匹配比重,因此系統將可檢索出正確手機門號。透過結合上述兩個識別碼對應表,可建立完整的eTag使用者資料庫,而應用伺服器306可依據應用查詢包含eTag識別碼、車牌號碼、用戶手機門號,進而應用行動門號所連結的客戶連絡方式與帳戶資料。 Referring to FIG. 4 , the maximum time difference T D,MAX , the matching weight function f W and the deletion condition L 1 can be set according to the first embodiment. After the eTag identification code is trained on the mobile phone door number correspondence table, the EPC is matched correctly. The matching weight of the mobile phone number will gradually increase until it is greater than the matching weight matching to other incorrect mobile phone numbers, so the system will be able to retrieve the correct mobile phone number. By combining the two identification code correspondence tables, a complete eTag user database can be established, and the application server 306 can include the eTag identification code, the license plate number, the user mobile phone door number according to the application query, and then apply the action gate number. Customer contact method and account information.

上列詳細說明乃針對本發明之最佳實施例進行具體說明,惟該實施例並非用以限制本發明之專利範圍,凡未脫離本發明技藝精神所為之等效實施或變更,均應包含於本案之專利範圍中。 The detailed description of the preferred embodiments of the present invention is intended to be construed as the invention The patent scope of this case.

綜上所述,本發明於技術思想上實屬創新,也具備先前技術不及的多種功效,已充分符合新穎性及進步性之法定發明專利要件,爰依法提出專利申請,懇請 貴局核准本件發明專利申請案以勵發明,至感德便。 In summary, the present invention is innovative in terms of technical ideas, and also has various functions that are not in the prior art, and has fully complied with the statutory invention patent requirements of novelty and progressiveness, and has filed a patent application according to law, and invites you to approve the invention. The patent application was inspired to invent, and it was a matter of feeling.

S101~S116‧‧‧步驟流程 S101~S116‧‧‧Step procedure

Claims (5)

一種車輛識別碼匹配系統,其包含:至少一識別碼偵測設備組,該些識別碼偵測設備組各自分別包含複數識別碼輸入設備,該些識別碼輸入設備各自產生至少一個識別碼輸入資料;一第一通訊介面,該第一通訊介面與該識別碼偵測設備組連結;至少一控制伺服器,該些控制伺服器與該第一通訊介面連結且通過該第一通訊介面控制該些識別碼輸入設備,以產生一識別碼對應表建立程序;一第二通訊介面,該第二通訊介面與各該控制伺服器連結,用以傳輸各該控制伺服器發出之訊息至一資料庫;其中,該資料庫與該第二通訊介面連結,該資料庫根據該識別碼對應表建立程序以及該些識別碼輸入資料產生至少一識別碼對應表,該資料庫持續更新該識別碼對應表以計算該些識別碼輸入資料間的權重。 A vehicle identification code matching system, comprising: at least one identification code detecting device group, each of the identification code detecting device groups respectively respectively comprising a plurality of identification code input devices, each of the identification code input devices generating at least one identification code input data a first communication interface, the first communication interface is coupled to the identification code detecting device group; at least one control server is connected to the first communication interface and controlled by the first communication interface The identification code input device is configured to generate an identification code correspondence table establishing program; a second communication interface, the second communication interface is coupled to each of the control servers for transmitting a message sent by each control server to a database; The database is connected to the second communication interface, and the database generates at least one identifier correspondence table according to the identifier correspondence table establishment program and the identifier input data, and the database continuously updates the identifier correspondence table. Calculate the weight between the identification code input data. 如申請專利範圍第1項所述之一種車輛識別碼匹配系統,其中該第二通訊介面連結一行動通訊應用伺服器,該行動通訊應用伺服器在該些識別碼偵測設備組輸入該些識別碼輸入資料時,用以查詢涵蓋該些識別碼偵測設備組通訊範圍中的至少一行動通訊基地台納管的行動電話資訊。 The vehicle identification code matching system of claim 1, wherein the second communication interface is coupled to a mobile communication application server, and the mobile communication application server inputs the identifications in the identification code detection device groups. The code input data is used to query mobile phone information of at least one mobile communication base station tube in the communication range of the identification code detecting device group. 如申請專利範圍第1項所述之一種車輛識別碼匹配系統,其中該第二通訊介面連結一應用伺服器,該應用伺服器在該些識別碼偵測設備組輸入該些識別碼輸入資料時,查詢涵蓋該資料庫中的該識別碼對應表以找出與該識別碼對應的其他種識別碼。 The vehicle identification code matching system of claim 1, wherein the second communication interface is coupled to an application server, and the application server inputs the identification code input data when the identification code detecting device group inputs The query covers the identification code correspondence table in the database to find other kinds of identification codes corresponding to the identification code. 一種車輛識別碼匹配方法,其包含以下步驟:根據一物品被登記的一A類識別碼查詢一識別碼對應表,以找出該識別碼對應表中匹配比重最大值之該物品之正確的一B類識別碼;其中,該識別碼對應表中儲存包含該A類識別碼、複數B類識別碼、各該B類識別碼的輸入時間、各該B類識別碼的累計輸入次數、該A類識別碼與各該B類識別碼之匹配比重,其中,該匹配比重可根據一匹配比重函數設定,該匹配比重函數之輸入參數包含該A類識別碼的輸入時間、各該B類識別碼的輸入時間,及各該B類識別碼之累計輸入次數。 A vehicle identification code matching method includes the following steps: querying an identification code correspondence table according to a class A identification code registered by an item, so as to find a correct one of the items whose matching specific value is the maximum value in the identification code correspondence table. a class B identification code; wherein the identification code correspondence table stores an input time including the class A identification code, the complex class B identification code, each class B identification code, and the cumulative input number of each class B identification code, the A a matching proportion of the class identification code and each of the class B identification codes, wherein the matching specific gravity is set according to a matching specific gravity function, wherein an input parameter of the matching specific gravity function includes an input time of the class A identification code, and each of the class B identification codes The input time, and the cumulative number of inputs of each of the Class B identification codes. 如申請專利範圍第4項所述之車輛識別碼匹配方法,其中該匹配比重函數係為,其中,f C 係為匹配關係中之各該B類識別碼的累計輸入次數函數,而f T 為匹配關係中該A類識別碼的輸入時間與各該B類識別碼的輸入時間差函數。 The vehicle identification code matching method according to claim 4, wherein the matching specific gravity function is Where f C is a cumulative input number function of each of the Class B identification codes in the matching relationship, and f T is an input time difference function of the input time of the Class A identification code in the matching relationship and each of the Class B identification codes.
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