CN110378796A - Vehicle unique identification generation method, device, computer equipment and medium - Google Patents
Vehicle unique identification generation method, device, computer equipment and medium Download PDFInfo
- Publication number
- CN110378796A CN110378796A CN201910526188.6A CN201910526188A CN110378796A CN 110378796 A CN110378796 A CN 110378796A CN 201910526188 A CN201910526188 A CN 201910526188A CN 110378796 A CN110378796 A CN 110378796A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- target
- identify number
- information
- unique identification
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000003860 storage Methods 0.000 claims abstract description 14
- 238000004590 computer program Methods 0.000 claims description 16
- 238000001514 detection method Methods 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 14
- 238000012360 testing method Methods 0.000 claims description 11
- 238000009826 distribution Methods 0.000 claims description 10
- 239000000284 extract Substances 0.000 claims description 8
- 238000007689 inspection Methods 0.000 claims description 6
- 230000008676 import Effects 0.000 claims description 5
- 238000012795 verification Methods 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 2
- 238000004422 calculation algorithm Methods 0.000 description 15
- 230000006870 function Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 10
- 239000000203 mixture Substances 0.000 description 7
- 230000015572 biosynthetic process Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 235000013399 edible fruits Nutrition 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000001737 promoting effect Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 241000282376 Panthera tigris Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/08—Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
- H04L9/0861—Generation of secret information including derivation or calculation of cryptographic keys or passwords
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Signal Processing (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Technology Law (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- Bioethics (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of vehicle unique identification generation method, device, computer equipment and storage mediums, the described method includes: obtaining vehicle insurance product information, and information of vehicles is extracted from the vehicle insurance product information, wherein the information of vehicles includes Vehicle Identify Number and license plate number;Plausibility check is carried out to the Vehicle Identify Number, obtains check results;If the check results are that the Vehicle Identify Number and the license plate number are connected, the target sequence number is obtained if the check results are that the Vehicle Identify Number does not have reasonability using the Vehicle Identify Number as target sequence number with reasonability;Using preset cipher mode, the target sequence number is encrypted, obtains target vehicle mark.Above-mentioned vehicle unique identification generation method, which solves the problems, such as that vehicles identifications are inconsistent, leads to duplicate allocation, and the vehicles identifications that can guarantee that different vehicle information generates do not repeat, so that the mark generated has uniqueness.
Description
Technical field
The present invention relates to data analysis fields more particularly to a kind of vehicle unique identification generation method, device, computer to set
Standby and medium.
Background technique
Nowadays internet development is very swift and violent, and the development of industry is so that various internet works softwares possess ten million or even more than one hundred million
User.Each user can generate object, use Vehicle Identify Number and the address name to be as declaration form identification point for example, reinforcing danger using vehicle
Example, and vehicle accident insurance uses license plate number and ID card No. as declaration form identification point, for the object of above-mentioned declaration form identification point,
Needing data server is that they assign a unique mark to distinguish.In general, data server makees Arabic numerals
For unique identification, for the uniqueness for guaranteeing unique identification, data server is by the increments or decrements of Arabic numerals as mark
Know create-rule, generates unique identification.The problem of can not normally being generated for mark caused by prevention data server failure, by more
Platform data server generates unique identification jointly, and the unique identification that different data server generates may repeat, it is difficult to guarantee
Identify the uniqueness generated.
Summary of the invention
The embodiment of the present invention provides a kind of vehicle unique identification generation method, device, computer equipment and storage medium, with
Solving the problems, such as that vehicles identifications are inconsistent leads to duplicate allocation.
A kind of vehicle unique identification generation method, comprising:
Vehicle insurance product information is obtained, and extracts information of vehicles from the vehicle insurance product information, wherein the information of vehicles
Including Vehicle Identify Number and license plate number;
Plausibility check is carried out to the Vehicle Identify Number, obtains check results;
If the check results are with reasonability, using the Vehicle Identify Number as target sequence number, if the verification is tied
Fruit is that the Vehicle Identify Number does not have reasonability, then the Vehicle Identify Number and the license plate number is connected, obtain the target sequence
Row number;
Using preset cipher mode, the target sequence number is encrypted, obtains target vehicle mark.
A kind of vehicle unique identification generating means, comprising:
Obtaining product information module extracts vehicle for obtaining vehicle insurance product information, and from the vehicle insurance product information
Information, wherein the information of vehicles includes Vehicle Identify Number and license plate number;
Vehicle Identify Number inspection module obtains check results for carrying out plausibility check to the Vehicle Identify Number;
Sequence number obtains module, if for the check results be with reasonability, using the Vehicle Identify Number as
Target sequence number, if the check results are that the Vehicle Identify Number does not have reasonability, by the Vehicle Identify Number and the license plate number
It connects, obtains the target sequence number;
Identifier generation module encrypts the target sequence number, obtains target for using preset cipher mode
Vehicles identifications.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize above-mentioned vehicle unique identification generation side when executing the computer program
Method.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
Calculation machine program realizes above-mentioned vehicle unique identification generation method when being executed by processor.
In above-mentioned vehicle unique identification generation method, device, computer equipment and storage medium, produced firstly, obtaining vehicle insurance
Product information, and information of vehicles is extracted from vehicle insurance product information, wherein information of vehicles includes Vehicle Identify Number and license plate number;Then, right
Vehicle Identify Number carries out plausibility check, obtains check results;When check results are that the Vehicle Identify Number has reasonability, by the Vehicle Identify Number
The Vehicle Identify Number and license plate number are connected when check results are that the Vehicle Identify Number does not have reasonability as target sequence number,
Series connection number is obtained, regard series connection number as target sequence number, so that all vehicle insurance product informations are obtained according to the differentiation of Vehicle Identify Number
To target sequence number, target vehicle mark is generated according to target sequence number so as to subsequent;Finally, using preset cipher mode,
Target sequence number is encrypted, target vehicle mark is obtained, improves safety and the formation efficiency of target vehicle mark, it will
The policy information of same vehicle corresponds to the same target vehicle mark, can guarantee the target carriage that different vehicle information generates
Mark does not repeat, and then avoids promoting the multiple business of user, optimizes user experience, saves human cost.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the application environment schematic diagram of vehicle unique identification generation method provided in an embodiment of the present invention;
Fig. 2 is one exemplary diagram of vehicle unique identification generation method provided in an embodiment of the present invention;
Fig. 3 is another exemplary diagram of vehicle unique identification generation method provided in an embodiment of the present invention;
Fig. 4 is another exemplary diagram of vehicle unique identification generation method provided in an embodiment of the present invention;
Fig. 5 is another exemplary diagram of vehicle unique identification generation method provided in an embodiment of the present invention;
Fig. 6 is another exemplary diagram of vehicle unique identification generation method provided in an embodiment of the present invention;
Fig. 7 is a functional block diagram of vehicle unique identification generating means provided in an embodiment of the present invention;
Fig. 8 is another functional block diagram of vehicle unique identification generating means provided in an embodiment of the present invention;
Fig. 9 is another functional block diagram of vehicle unique identification generating means provided in an embodiment of the present invention;
Figure 10 is a schematic diagram of computer equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Vehicle unique identification generation method provided by the present application, can be applicable in the application environment such as Fig. 1, wherein client
End is communicated by network with server-side, and server-side receives the vehicle insurance product information that client is sent, and believes from vehicle insurance product
Information of vehicles is extracted in breath, wherein information of vehicles includes Vehicle Identify Number and license plate number;Then plausibility check is carried out to Vehicle Identify Number,
Obtain check results;If check results are with reasonability, using Vehicle Identify Number as target sequence number, if check results are vehicle frame
Number do not have reasonability, then Vehicle Identify Number and license plate number are connected, obtain target sequence number;Finally, using preset encryption
Mode encrypts target sequence number, obtains target vehicle mark.Wherein, client can be, but not limited to be various individuals
Computer, laptop, smart phone, tablet computer and portable wearable device.Server-side can use independent service
The server cluster of device either multiple servers composition is realized.
In one embodiment, as shown in Fig. 2, being applied to be illustrated for the server-side in Fig. 1 in this way, including
Following steps:
S10: vehicle insurance product information is obtained, and extracts information of vehicles from vehicle insurance product information, wherein information of vehicles includes
Vehicle Identify Number and license plate number.
Wherein, vehicle insurance product information refers to that record has the list of the car insurance information of client, is specifically including but not limited to:
User information, business information and information of vehicles etc., information of vehicles include Vehicle Identify Number and license plate number etc..Vehicle Identify Number is also known as vehicle identification
Code VIN (Vehicle Identification Number) is one group of word that manufactory specifies to identify to a vehicle
Code.The coding that VIN code is made of 17 letter and numbers, also known as 17 cognizance codes, Vehicle Identify Number or 17 numbers, it is exemplary
Ground, a Vehicle Identify Number are " LSGJA52U1BH003531 ".ID code of vehicle passes through permutation and combination, can make the vehicle of same vehicle
Double sign phenomenon will not occur within 30 years, there is the unique identification to vehicle, therefore can be described as " identity of automobile card ".License plate
Number it is the number plate for identifying vehicle identification, is made of Chinese character, English alphabet (removing I and O) and number, such as " capital A0001 ".
It is worth noting that in this step, it is more to be related to vehicle insurance product information so that data volume to be treated compared with
Greatly, the present embodiment is extracted from each vehicle insurance product information using big data computing engines Spark as a preferred method,
Information of vehicles, to save time cost.Wherein, Spark is a kind of open source cluster computing environment, and Spark enables memory point
Cloth data set, in Spark, all processing and calculating task can all be organized into a series of Resilient
Conversion and movement on Distributed Dataset (elasticity distribution formula data set, abbreviation RDD), this makes Spark for number
According to the processing for measuring biggish vehicle insurance product information, operation efficiency is higher, is conducive to save the time that information of vehicles obtains.
S20: plausibility check is carried out to Vehicle Identify Number, obtains check results.
Wherein, plausibility check refers to that the sequence number rule for whether meeting Vehicle Identify Number to Vehicle Identify Number verifies, if the vehicle
Frame number meets the sequence number rule of Vehicle Identify Number, then it is assumed that the Vehicle Identify Number has reasonability, if the Vehicle Identify Number is not met, then it is assumed that should
License number does not have reasonability.
Wherein, Vehicle Identify Number has fixed length, and each character for including in Vehicle Identify Number has specific meaning, Vehicle Identify Number
Character composition include but is not limited to: vehicle manufacturers mark, vehicle characteristics code, check bit sum dispatch from the factory condition code.Specifically, it takes
Business end is formed according to character in Vehicle Identify Number, using the Vehicle Identify Number composition rule in the database for being stored with Vehicle Identify Number composition rule,
And verified by middle character composition of the verifying script of Vehicle Identify Number to Vehicle Identify Number, according to the output of the verifying script of Vehicle Identify Number
Determine check results, which includes that there is Vehicle Identify Number reasonability and Vehicle Identify Number not to have two kinds of check results of reasonability.
In this step, by carrying out reasonableness check to Vehicle Identify Number, to judge using the Vehicle Identify Number as the vehicle
Vehicles identifications feasibility, in practice, the versatility of Vehicle Identify Number is stronger, and in different regions, country variant is all had certain
General character so that identification information of vehicles it is more convenient, using the Vehicle Identify Number as the vehicle vehicles identifications it is feasible
In the case of, vehicle is identified using Vehicle Identify Number, the vehicles identifications that can make have more versatility.
S30: if check results are with reasonability, using Vehicle Identify Number as target sequence number, if check results are vehicle frame
Number do not have reasonability, then Vehicle Identify Number and license plate number are connected, obtain target sequence number.
Wherein, target sequence number is for as the basic data for generating vehicles identifications, including with rational vehicle frame
Number and will not have an obtained new sequence number after rational Vehicle Identify Number is connected with license plate number.It is the vehicle in check results
When frame number has reasonability, using the Vehicle Identify Number as target sequence number.When check results are that the Vehicle Identify Number does not have reasonability,
The Vehicle Identify Number and license plate number are connected, obtain series connection number, it is possible to understand that ground, if do not have rational Vehicle Identify Number not into
Row processing, directly as target sequence number, the form that on the one hand will lead to the vehicles identifications being subsequently generated is inconsistent, on the other hand
Do not have rational Vehicle Identify Number there is likely to be duplicate, to reduce the formation efficiency for being subsequently generated vehicle unique identification.
Therefore, in this step, when check results are that Vehicle Identify Number does not have reasonability, Vehicle Identify Number and license plate number are connected,
Vehicle frame is got well and is connected with character sequence in license plate number, series connection number is obtained, not only realizes the function of duplicate removal, but also ensure that string
The consistency of chain store in form regard series connection number as target sequence number, so that all vehicle insurance product informations are according to Vehicle Identify Number
It distinguishes to obtain target sequence number, target vehicle mark is generated according to target sequence number so as to subsequent.
S40: using preset cipher mode, encrypt to target sequence number, obtains target vehicle mark.
Wherein, preset cipher mode includes but is not limited to: Advanced Encryption Standard (Advanced Encryption
Standard, AES) algorithm, data encryption (Data Encryption Algorithm, DEA) algorithm, RC4 (Rivest
Cipher 4) algorithm and MD5 eap-message digest (Message Digest Algorithm MD5, hereinafter referred to as MD5) algorithm etc..
Preferably, the present embodiment encrypts target sequence number using MD5 algorithm, it is contemplated that involved in the present embodiment
Vehicle insurance product information is more, MD5 algorithm have calculate enciphering rate it is fast, the characteristics of not needing using key, can be effectively ensured by
The efficiency and robustness that embodiment is implemented.Specifically, it after obtaining the target sequence number, needs true by target sequence number
Set the goal vehicles identifications, causes exception to prevent target vehicle mark to be tampered, needs to encrypt target sequence number, and will
Encrypted character string is identified as target vehicle.By using preset cipher mode, target sequence number is encrypted, is obtained
It is identified to target vehicle, improves safety and the formation efficiency of target vehicle mark.Simultaneously by by the declaration form of same vehicle
Information corresponds to the same target vehicle mark, and the data consistency point in data ciphering method is utilized well, guarantees
The target vehicle mark that different vehicle information generates does not repeat, so that the target vehicle mark of each generation has uniqueness,
And then avoid promoting the multiple business of user, optimize user experience, saves human cost.
In the present embodiment, firstly, obtaining vehicle insurance product information, and information of vehicles is extracted from vehicle insurance product information, wherein
Information of vehicles includes Vehicle Identify Number and license plate number;Then, plausibility check is carried out to Vehicle Identify Number, obtains check results;It is tied in verification
It is that the Vehicle Identify Number does not have in check results using the Vehicle Identify Number as target sequence number when fruit is that the Vehicle Identify Number has reasonability
When reasonability, the Vehicle Identify Number and license plate number are connected, obtain series connection number, series connection number is regard as target sequence number, so that institute
There is vehicle insurance product information according to the differentiation of Vehicle Identify Number to obtain target sequence number, mesh is generated according to target sequence number so as to subsequent
Mark vehicles identifications;Finally, being encrypted using preset cipher mode to target sequence number, target vehicle mark is obtained, is promoted
The safety of target vehicle mark and formation efficiency, by the policy information of same vehicle correspond to the same target vehicle mark
Know, the target vehicle mark that can guarantee that different vehicle information generates does not repeat, so that the target vehicle of each generation identifies tool
There is uniqueness, and then avoid promoting the multiple business of user, optimizes user experience, save human cost.
In one embodiment, as shown in figure 3, in step slo, extracting information of vehicles from the vehicle insurance product information,
Specifically comprise the following steps:
S11: the incremental data of vehicle insurance product information is imported src layers by sqoop tool.
Wherein, sqoop is the top project of Apache, for transmitting data in hadoop and relational database.Pass through
What sqoop tool can be convenient imported into HDFS from relational database for data, or data are exported to relationship number from HDFS
According to library.Incremental data refers to that vehicle insurance product information of the vehicle insurance product information after the preset period is updated specifically can
It, can also be direct using sqoop to carry out the incremental data that inquiry obtains vehicle insurance product information to database by renewal time
A sqoop job is created, the incremental data of vehicle insurance product information is obtained by sqoop job.Src layers are the one of data warehouse
The mirror image data of a level, the increment in preset time period is retained in the data level.The full dose that lead-in mode has sqoop to support
Data import and incremental data imports two kinds, while can specify whether data are imported with aggregated form.Preferably, the present embodiment
It is middle that newly-increased historical product data are carried out importeding into src layers by the way of increment importing, to guarantee magnanimity vehicle insurance product
Information it is comprehensive.
S12: the corresponding major key of preset vehicle configuration keyword is obtained as target major key.
Wherein, preset vehicle configuration keyword refers to the preset key that can embody different vehicle configuration information
Word, such as vehicle, license plate number, Vehicle Identify Number keyword.Specifically, the vehicle configuration keyword in this step is Vehicle Identify Number and license plate
Number, major key is one or more fields in table, its value is used to uniquely identify a certain item record in table, and target major key is
Refer to determine the record of information of vehicles, such as " Vehicle Identify Number: LSGJA52U1BH003531, license plate number: capital A0001 ", in this step
Major key be src layer in identify information of vehicles field.
S13: the data in src layers are carried out according to the target major key to obtain data image except handling again.
Wherein, except referring to that there are identical a plurality of records to delete in several fields in the external table to src level again
It removes, only retains the operation of a wherein record, it is possible to understand that ground, increment synchronization data (incre) and data on stock (store) punching
When prominent, default incremental data is newest, and no matter incremental data table or data on stock table, by except processing again so that
Without Repeating Field in table.Data image be exactly be that same part data retain more than two online copies.With two mirror image magnetic
For disk, all write operation needs carry out on two independent disks;When two disks all work normally, data can be from
Any disk is read;If any one disk failure, the disk that data can be worked normally from other one is read,
To guarantee that normal data access business can continue to carry out.For example, when target major key is Vehicle Identify Number and license plate number, according to mesh
Mark major key carries out except the number that is in danger for generating combination of the data image for Vehicle Identify Number and license plate number after handle again the data in src layer
According to such as " LSGJA52U1BH003531, capital A0001 ".Specifically, the data in src layers remove according to target major key and be located again
Reason generates data image, is further processed so as to subsequent according to the mirror image data.
S14: information of vehicles is extracted from data image.
Specifically, vehicle can be extracted from data image using Vehicle Identify Number regular expression and license plate number regular expression
Information, Vehicle Identify Number regular expression therein can be " ^ (d { 17 }) ", license plate number regular expression therein are as follows:
“^[\u4e00-\u9fa5]{1}[a-zA-Z]{1}[a-zA-Z_0-9]{4}[a-zA-Z_0-9_\u4e00-\
u9fa5]$";In the license plate number regular expression, " [u4e00- u9fa5] " first of license plate number is expressed as middle text
Symbol, " [a-zA-Z] " are expressed as the second of license plate number as letter, and " [a-zA-Z_0-9] { 4 } " are expressed as latter four of license plate number
For the combination of letter and letter.
By extracting vehicle corresponding with Vehicle Identify Number regular expression and license plate number regular expression from data image
Information eliminates duplicate message, ensure that information of vehicles accuracy, while information of vehicles is obtained more quick and precisely.
In the present embodiment, firstly, the incremental data of vehicle insurance product information is imported src layers by sqoop tool, to protect
Demonstrate,prove the comprehensive of magnanimity vehicle insurance product information;Then, the corresponding major key of preset vehicle configuration keyword is obtained as target master
Key;Then, the data in src layers are carried out according to target major key data image being obtained, so as to subsequent according to the mirror except handling again
As data are further processed;Finally, extracting information of vehicles from data image, duplicate message is eliminated, ensure that vehicle
Information accuracy, while information of vehicles is obtained more quick and precisely.
In one embodiment, as shown in figure 4, in step S20, plausibility check is carried out to Vehicle Identify Number, obtains check results,
Include:
S21: the character digit that statistics Vehicle Identify Number includes, and compared with default Vehicle Identify Number digit, obtain comparing result.
Specifically, the character digit that can include using lengthb () function or vsize () function statistics Vehicle Identify Number.
Then judge to count obtained character digit and whether default Vehicle Identify Number digit is equal, and then obtain comparison result.
S22: if comparing result is that the character digit that Vehicle Identify Number includes is equal with default Vehicle Identify Number digit, Vehicle Identify Number is obtained
The producer identification for including, as target producer identification.
Wherein, producer identification is the manufacturer for identifying different vehicle, such as " BMW ", and different production trade marks
Knowing has different Vehicle Identify Number composition rules, therefore, in order to more rapidly and accurately carry out plausibility check, this step to Vehicle Identify Number
The rapid producer identification for including by obtaining Vehicle Identify Number, as target producer identification, wherein obtaining the production that Vehicle Identify Number includes
Trade mark knowledge can be to be extracted by text string extracting function substring ().It should be noted that Vehicle Identify Number difference position
The different message code of the corresponding different vehicles of the character set, by taking " BMW " as an example, first character of Vehicle Identify Number is production
Country Code, second character are that production the 11st character of plant code ... is model year code, but each vehicle
The combination of first character and second character of Vehicle Identify Number be producer identification, therefore, can pass through
StrVIN.substring (0,2) obtains producer identification.In the code, strVIN is expressed as the corresponding character string of Vehicle Identify Number,
2 character strings in the corresponding character string of substring (0,2) marker extraction Vehicle Identify Number since first is character.
Specifically, when the comparison result in step S21 is the character digit and default Vehicle Identify Number digit phase that Vehicle Identify Number includes
Deng then extracting producer identification from Vehicle Identify Number.
S23: from preset database, the corresponding Vehicle Identify Number building form of target producer identification is obtained, as target
Detection mode.
Wherein, target detection mode refers to the mode detected to Vehicle Identify Number.Vehicle Identify Number building form refers to different vehicles
The rule of combination or mode of the standard character of each character position of the corresponding character string of frame number.Server-side is preset with for storing
The database of Vehicle Identify Number building form, by the inquiry mode of structured query language, obtains mesh from the preset database
The corresponding Vehicle Identify Number building form of producer identification is marked, as target detection mode.
S24: target detection mode is used, Vehicle Identify Number is detected, testing result is obtained.
Specifically, a corresponding regular expression is configured to each target detection mode, then uses corresponding canonical table
Vehicle Identify Number is detected up to formula, to get testing result.
S25: if testing result is correct for the building form of Vehicle Identify Number, confirm that check results are that Vehicle Identify Number has rationally
Property.
Specifically, when the building form that testing result is Vehicle Identify Number is correct, then confirm that check results have for Vehicle Identify Number
Reasonability, at the same time namely the Vehicle Identify Number is the target sequence number in step S20.It is to be appreciated that leading in the present embodiment
It crosses and plausibility check is carried out to Vehicle Identify Number, ensure that the accuracy of information of vehicles, avoid subsequent to Vehicle Identify Number progress redundancy check
Operation is conducive to the formation efficiency for improving subsequent vehicle unique identification.
In the present embodiment, firstly, the character digit that statistics Vehicle Identify Number includes, and compared with default Vehicle Identify Number digit,
Obtain comparing result;When comparing result is that the Vehicle Identify Number character digit that includes is equal with default Vehicle Identify Number digit, then vehicle is obtained
The producer identification that frame number includes, as target producer identification;Then, from preset database, target manufacturer is obtained
Corresponding Vehicle Identify Number building form is identified, as target detection mode;Then, using target detection mode, Vehicle Identify Number is carried out
Detection, obtains testing result;Finally, then confirming that check results are vehicle when the building form that testing result is Vehicle Identify Number is correct
Frame number have reasonability, ensure that the accuracy of information of vehicles, avoid it is subsequent to Vehicle Identify Number carry out redundancy check operation, be conducive to
Improve the formation efficiency of subsequent vehicle unique identification.
In one embodiment, as shown in figure 5, encrypting in step S40 to target sequence number, target vehicle mark is obtained
Know, specifically comprises the following steps:
S41: target sequence number is subjected to random Harsh processing, obtains Hash array.
Wherein, random Harsh (Hash) processing refers to the treatment process converted by random Harsh function to text,
For Hash treated text conversion to be had equal length, irreversible hash character string at text.Hash array
Refer to the array obtained after converting to target sequence number by random Harsh function.It is to be appreciated that due to random Harsh
Function has uncertainty, therefore the Hash array enabled to has diversity, and then ensure that target sequence number can
It is converted, can not be reappeared.Continue using the Vehicle Identify Number " LSGJA52U1BH003531 " in step S10 as target sequence number
For, which is subjected to random Harsh processing, obtained Hash array is " 85ee5a9de930dd4c4a33397
daf4a6efc”。
S42: calculating Hash array using Message Digest 5, obtains abstract array.
Wherein, Message Digest 5 (MessageDigest) and referring to, which rubs up the input of random length, generates length and consolidates
The algorithm of fixed pseudorandom input, including but not limited to SHA (Secure Hash Algorithm) algorithm, RIPEMD algorithm and
TIGER algorithm etc..Abstract array, which refers to, carries out the abstract array obtained after Message Digest 5 to Hash array.For example, will step
Hash array " 85ee5a9de930dd4c4a33397daf4a6efc " in rapid S41 uses SHA1 (Secure Hash
Algorithm) algorithm, obtaining abstract array is " b2a8d0b4df41c97d4366ae8def5b6b1f732da4c1 ".
S43: abstract array is generated into character string by the way of looping through, is identified character string as target vehicle.
Specifically, abstract array by character string is subjected to more round transformations, available character string, and by the character string
It is identified as target vehicle.It is to be appreciated that if target sequence number is tampered in transmission process, step S41- step S43 meter
Hash array, abstract array and the character string of calculating can change, so that each character string namely each target that generate
Vehicles identifications will not reappear, and ensure that the uniqueness of the target vehicle mark of generation.Therefore, which identifies calculation method
It is convenient and efficient, and can make target vehicle mark that can not reappear, avoid target vehicle duplicate identity.
In the present embodiment, firstly, target sequence number is carried out random Harsh processing, Hash array is obtained, and then ensure that
Target sequence number can be converted;Then, Hash array is calculated using Message Digest 5, obtains abstract array;Finally,
Abstract array is generated into character string by the way of searching loop, is identified character string as target vehicle, and target can be made
Vehicles identifications can not avoid target vehicle duplicate identity again, ensure that the uniqueness of the target vehicle mark of generation.
In one embodiment, as shown in fig. 6, after the step s 40, that is, preset cipher mode is being used, to target sequence
Row number is encrypted, and further includes following steps after obtaining target vehicle mark:
S51: it is identified according to each vehicle insurance product information and the corresponding target vehicle of vehicle insurance product information, establishes vehicle insurance
Data warehouse.
Wherein, data warehouse (data warehouse) is a subject-oriented, integrated, nonupdatable, at any time
Between continually changing data acquisition system, the data in data warehouse are towards full channel.For supporting the decision of enterprise or tissue
Analysis processing.Specifically, each vehicle insurance product information and the corresponding target carriage of vehicle insurance product information are examined using paradigm theory
The corresponding logical model of mark believes each vehicle insurance product using SqlServer when logical model meets paradigm theory
Breath and the corresponding target vehicle mark of vehicle insurance product information establish vehicle insurance data warehouse.
In the present embodiment, product data warehouse is the domain that is the theme with product, is converged by information related with product in full channel
Integrated Data Mart.By taking vehicle insurance product as an example.Specifically, product data warehouse is one using vehicle insurance as dimension, and the inside includes
Vehicle-related information (such as: vehicle, target vehicle mark and with the respective labels such as vehicle insurance product) Data Mart, to subsequent right
Client services, sells offer data supporting, for being managed collectively to full channel list, facilitates the retrospect and inspection of list
Depending on.
S52: when receiving traffic assignments instruction, according to the preset method of salary distribution, by the vehicle insurance in vehicle insurance data warehouse
Product information distributes to channel customer end.
Wherein, traffic assignments instruction refers to the request life handled for information sent from client to server-side
It enables.The preset method of salary distribution refers to the preset information processing manner for information progress reasonable distribution, this is preset
The method of salary distribution can be the mode of mean allocation, be also possible to the mode being randomly assigned.Channel customer end refers to for information
The client of processing.Specifically, when server-side receives the traffic assignments instruction of client request, server-side is according to distribution side
Vehicle insurance product information in vehicle insurance data warehouse is distributed to channel customer end, so that channel customer end can be efficient by formula
Ground handles the vehicle insurance product information being assigned to, it is possible to understand that ground, due to the vehicle insurance product information in vehicle insurance data warehouse
It is to be allocated according to target vehicle mark, while therefore target vehicle mark is avoided to canal there is no duplicate information
The repeated dispensing of road client optimizes user experience, saves human cost.
In the present embodiment, is identified, built according to each vehicle insurance product information and the corresponding target vehicle of vehicle insurance product information
Vertical vehicle insurance data warehouse services client, sells offer data supporting, for carrying out unification to full channel list to subsequent
Management, facilitates the retrospect of list and inspects;When receiving traffic assignments instruction, according to the preset method of salary distribution, by vehicle insurance number
Channel customer end is distributed to according to the vehicle insurance product information in warehouse, avoids the repeated dispensing to channel customer end, optimizes user
Human cost is saved in experience.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, vehicle unique identification device in a kind of vehicle insurance declaration form is provided, which generates dress
It sets and is corresponded with vehicle unique identification generation method in above-described embodiment.As shown in fig. 7, the vehicle unique identification generating means
Module and identifier generation module are obtained including obtaining product information module 10, Vehicle Identify Number inspection module 20, sequence number.Each function
Detailed description are as follows for energy module:
Obtaining product information module 10 for obtaining vehicle insurance product information, and extracts vehicle letter from vehicle insurance product information
Breath, wherein information of vehicles includes Vehicle Identify Number and license plate number;
Vehicle Identify Number inspection module 20 obtains check results for carrying out plausibility check to Vehicle Identify Number;
Sequence number obtains module 30, if being with reasonability, using Vehicle Identify Number as target sequence for check results
Vehicle Identify Number and license plate number are connected if check results are that Vehicle Identify Number does not have reasonability, obtain target sequence by row number
Number;
Identifier generation module 40 encrypts target sequence number, obtains target carriage for using preset cipher mode
Mark.
Preferably, as shown in figure 8, obtaining product information module 10 is obtained including increment information import unit 11, target major key
Take unit 12, data image acquiring unit 13 and information of vehicles acquiring unit 14.
Increment information import unit 11, for the incremental data of vehicle insurance product information to be imported src by sqoop tool
Layer;
Target major key acquiring unit 12, for obtaining the corresponding major key of preset vehicle code keyword as target master
Key;
Data image acquiring unit 13, for counted except handling again to the data in src layers according to target major key
According to mirror image;
Information of vehicles acquiring unit 14, for extracting information of vehicles from data image.
Preferably, Vehicle Identify Number inspection module includes digit comparing unit, producer identification acquiring unit, detection mode acquisition
Unit,
Digit comparing unit, the character digit for including for counting Vehicle Identify Number, and compared with default Vehicle Identify Number digit,
Obtain comparing result;
Producer identification acquiring unit, if being the character digit and default Vehicle Identify Number position that Vehicle Identify Number includes for comparing result
Number is equal, then the producer identification that Vehicle Identify Number includes is obtained, as target producer identification;
Detection mode acquiring unit, for from preset database, obtaining the corresponding Vehicle Identify Number of target producer identification
Building form, as target detection mode;
Testing result acquiring unit detects Vehicle Identify Number, obtains testing result for using target detection mode;
Reasonability judging unit confirms that check results are if the building form for testing result to be Vehicle Identify Number is correct
Vehicle Identify Number has reasonability.
Preferably, as shown in figure 9, identifier generation module 40 includes hash acquiring unit 41, abstract array calculating list
Member 42 and vehicles identifications generation unit 43.
Hash acquiring unit 41 obtains Hash array for target sequence number to be carried out random Harsh processing;
Abstract array computing unit 42 obtains abstract array for calculating Hash array using Message Digest 5;
Vehicles identifications generation unit 43, for abstract array to be generated character string by the way of looping through, by character
String is identified as target vehicle.
Preferably, which further includes that data warehouse establishes module and information assigning module.
Data warehouse establishes module, for according to each vehicle insurance product information and the corresponding target of vehicle insurance product information
Vehicles identifications establish vehicle insurance data warehouse;
Information assigning module, for receive traffic assignments instruction when, according to the preset method of salary distribution, by vehicle insurance data
Vehicle insurance product information in warehouse distributes to channel customer end.
Specific restriction about vehicle unique identification generating means may refer to generate above for vehicle unique identification
The restriction of method, details are not described herein.Modules in above-mentioned vehicle unique identification generating means can be fully or partially through
Software, hardware and combinations thereof are realized.Above-mentioned each module can be embedded in the form of hardware or independently of the place in computer equipment
It manages in device, can also be stored in a software form in the memory in computer equipment, in order to which processor calls execution or more
The corresponding operation of modules.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 10.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing the data arrived used in vehicle unique identification generation method.The network of the computer equipment
Interface is used to communicate with external terminal by network connection.To realize a kind of vehicle when the computer program is executed by processor
Unique identification generation method.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
Vehicle insurance product information is obtained, and extracts information of vehicles from the vehicle insurance product information, wherein the information of vehicles
Including Vehicle Identify Number and license plate number;
Plausibility check is carried out to the Vehicle Identify Number, obtains check results;
If the check results are with reasonability, using the Vehicle Identify Number as target sequence number, if the verification is tied
Fruit is that the Vehicle Identify Number does not have reasonability, then the Vehicle Identify Number and the license plate number is connected, obtain the target sequence
Row number;
Using preset cipher mode, the target sequence number is encrypted, obtains target vehicle mark.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Vehicle insurance product information is obtained, and extracts information of vehicles from the vehicle insurance product information, wherein the information of vehicles
Including Vehicle Identify Number and license plate number;
Plausibility check is carried out to the Vehicle Identify Number, obtains check results;
If the check results are with reasonability, using the Vehicle Identify Number as target sequence number, if the verification is tied
Fruit is that the Vehicle Identify Number does not have reasonability, then the Vehicle Identify Number and the license plate number is connected, obtain the target sequence
Row number;
Using preset cipher mode, the target sequence number is encrypted, obtains target vehicle mark.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations;Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features;And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of vehicle unique identification generation method, which is characterized in that the vehicle unique identification generation method includes:
Vehicle insurance product information is obtained, and extracts information of vehicles from the vehicle insurance product information, wherein the information of vehicles includes
Vehicle Identify Number and license plate number;
Plausibility check is carried out to the Vehicle Identify Number, obtains check results;
If the check results are with reasonability, using the Vehicle Identify Number as target sequence number, if the check results are
The Vehicle Identify Number does not have reasonability, then the Vehicle Identify Number and the license plate number is connected, obtain the target sequence number;
Using preset cipher mode, the target sequence number is encrypted, obtains target vehicle mark.
2. vehicle unique identification generation method as described in claim 1, which is characterized in that described from the vehicle insurance product information
Middle extraction information of vehicles, comprising:
The incremental data of the vehicle insurance product information is imported src layers by sqoop tool;
The corresponding major key of preset vehicle code keyword is obtained as target major key;
The data in src layers are carried out according to the target major key to obtain data image except handling again;
The information of vehicles is extracted from the data image.
3. vehicle unique identification generation method as described in claim 1, which is characterized in that described to be closed to the Vehicle Identify Number
Rationality verification, obtains check results, comprising:
The character digit that the Vehicle Identify Number includes is counted, and is compared with default Vehicle Identify Number digit, comparing result is obtained;
If the comparing result is that the character digit that the Vehicle Identify Number includes is equal with the default Vehicle Identify Number digit, institute is obtained
The producer identification that Vehicle Identify Number includes is stated, as target producer identification;
From preset database, the corresponding Vehicle Identify Number building form of the target producer identification is obtained, as target detection
Mode;
Using the target detection mode, the Vehicle Identify Number is detected, testing result is obtained;
If the testing result is correct for the building form of the Vehicle Identify Number, confirm that check results are that the Vehicle Identify Number has conjunction
Rationality.
4. vehicle unique identification generation method as described in claim 1, which is characterized in that it is described to the target sequence number into
Row encryption obtains target vehicle mark, comprising:
The target sequence number is subjected to random Harsh processing, obtains Hash array;
The Hash array is calculated using Message Digest 5, obtains abstract array;
The abstract array is generated into character string by the way of searching loop, using the character string as the target vehicle mark
Know.
5. vehicle unique identification generation method as described in claim 1, which is characterized in that use preset encryption side described
Formula encrypts the target sequence number, and after obtaining target vehicle mark, the vehicle unique identification generation method is also wrapped
It includes:
According to each vehicle insurance product information and the corresponding target vehicle mark of the vehicle insurance product information, vehicle insurance is established
Data warehouse;
When receiving traffic assignments instruction, according to the preset method of salary distribution, by the vehicle insurance in the vehicle insurance data warehouse
Product information distributes to channel customer end.
6. a kind of vehicle unique identification generating means, which is characterized in that vehicle unique identification device includes: in the vehicle insurance declaration form
Obtaining product information module extracts information of vehicles for obtaining vehicle insurance product information, and from the vehicle insurance product information,
Wherein, the information of vehicles includes Vehicle Identify Number and license plate number;
Vehicle Identify Number inspection module obtains check results for carrying out plausibility check to the Vehicle Identify Number;
Sequence number obtains module, if being with reasonability, using the Vehicle Identify Number as target for the check results
Sequence number carries out the Vehicle Identify Number and the license plate number if the check results are that the Vehicle Identify Number does not have reasonability
Series connection, obtains the target sequence number;
Identifier generation module encrypts the target sequence number, obtains target vehicle for using preset cipher mode
Mark.
7. vehicle unique identification generating means as claimed in claim 6, which is characterized in that the obtaining product information module,
Include:
Increment information import unit, for the incremental data of the vehicle insurance product information to be imported src layers by sqoop tool;
Target major key acquiring unit, for obtaining the corresponding major key of preset vehicle code keyword as target major key;
Data image acquiring unit obtains data except handling again for carrying out according to the target major key to the data in src layers
Mirror image;
Information of vehicles acquiring unit, for extracting the information of vehicles from the data image.
8. vehicle unique identification generating means as claimed in claim 6, which is characterized in that the identifier generation module, comprising:
Hash acquiring unit obtains Hash array for the target sequence number to be carried out random Harsh processing;
Abstract array computing unit obtains abstract array for calculating the Hash array using Message Digest 5;
Vehicles identifications generation unit, for the abstract array to be generated character string by the way of looping through, by the word
Symbol string is identified as the target vehicle.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
Any one of 5 vehicle unique identification generation methods.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization vehicle unique identification generation side as described in any one of claim 1 to 5 when the computer program is executed by processor
Method.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910526188.6A CN110378796A (en) | 2019-06-18 | 2019-06-18 | Vehicle unique identification generation method, device, computer equipment and medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910526188.6A CN110378796A (en) | 2019-06-18 | 2019-06-18 | Vehicle unique identification generation method, device, computer equipment and medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110378796A true CN110378796A (en) | 2019-10-25 |
Family
ID=68249079
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910526188.6A Pending CN110378796A (en) | 2019-06-18 | 2019-06-18 | Vehicle unique identification generation method, device, computer equipment and medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110378796A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110996373A (en) * | 2019-11-27 | 2020-04-10 | 腾讯科技(深圳)有限公司 | Processing method, device, equipment and storage medium for repeated wireless network identification |
CN112000853A (en) * | 2020-07-31 | 2020-11-27 | 天翼电子商务有限公司 | Method, medium, client and server for generating/feeding back unique identifier of equipment |
CN112084511A (en) * | 2020-08-27 | 2020-12-15 | 欧菲微电子技术有限公司 | Encryption method and device of service life information, storage medium and electronic equipment |
CN113111228A (en) * | 2020-02-13 | 2021-07-13 | 北京明亿科技有限公司 | Regular expression-based method and device for extracting alarm receiving and processing text license plate number |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104158667A (en) * | 2014-09-03 | 2014-11-19 | 王书平 | OBD (On Board Diagnostic) connector |
CN106453234A (en) * | 2016-08-12 | 2017-02-22 | 北京东方车云信息技术有限公司 | Identity authentication method, relevant server and client |
CN208819074U (en) * | 2018-07-06 | 2019-05-03 | 杭州和利时自动化有限公司 | A kind of network control system of intelligent driving |
-
2019
- 2019-06-18 CN CN201910526188.6A patent/CN110378796A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104158667A (en) * | 2014-09-03 | 2014-11-19 | 王书平 | OBD (On Board Diagnostic) connector |
CN106453234A (en) * | 2016-08-12 | 2017-02-22 | 北京东方车云信息技术有限公司 | Identity authentication method, relevant server and client |
CN208819074U (en) * | 2018-07-06 | 2019-05-03 | 杭州和利时自动化有限公司 | A kind of network control system of intelligent driving |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110996373A (en) * | 2019-11-27 | 2020-04-10 | 腾讯科技(深圳)有限公司 | Processing method, device, equipment and storage medium for repeated wireless network identification |
CN110996373B (en) * | 2019-11-27 | 2020-12-25 | 腾讯科技(深圳)有限公司 | Processing method, device, equipment and storage medium for repeated wireless network identification |
CN113111228A (en) * | 2020-02-13 | 2021-07-13 | 北京明亿科技有限公司 | Regular expression-based method and device for extracting alarm receiving and processing text license plate number |
CN112000853A (en) * | 2020-07-31 | 2020-11-27 | 天翼电子商务有限公司 | Method, medium, client and server for generating/feeding back unique identifier of equipment |
CN112000853B (en) * | 2020-07-31 | 2024-05-24 | 天翼电子商务有限公司 | Method for generating/feeding back unique identifier of equipment, medium, client and server |
CN112084511A (en) * | 2020-08-27 | 2020-12-15 | 欧菲微电子技术有限公司 | Encryption method and device of service life information, storage medium and electronic equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110378796A (en) | Vehicle unique identification generation method, device, computer equipment and medium | |
KR102155462B1 (en) | Methods, systems and devices for data access | |
CN110263585B (en) | Test supervision method, device, equipment and storage medium | |
CN102460404B (en) | Generate obfuscated data | |
CN109359939A (en) | Business datum method of calibration, device, computer equipment and storage medium | |
US11347719B2 (en) | Multi-table data validation tool | |
CN110729028A (en) | Health data processing method and device, electronic equipment and storage medium | |
US9513997B2 (en) | Test data management | |
US11868339B2 (en) | Blockchain based distributed file systems | |
CN114547204A (en) | Data synchronization method and device, computer equipment and storage medium | |
CN109325873A (en) | Self-service method for processing business, device, computer equipment and storage medium | |
CN111858467B (en) | File data processing method, device, equipment and medium based on artificial intelligence | |
CN112860954A (en) | Real-time computing method and real-time computing system | |
CN112528323A (en) | Data processing method and device | |
CN116304223A (en) | Sensitive information screening and displaying method, device, equipment and medium based on log | |
CN115758432A (en) | Omnibearing data encryption method and system based on machine learning algorithm | |
CN112749197B (en) | Data fragment refreshing method, device, equipment and storage medium | |
CN112035471A (en) | Transaction processing method and computer equipment | |
CN106960052B (en) | Credit investigation data acquisition method and system | |
Brown et al. | Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model | |
CN111858764B (en) | Data synchronization method, device, computer equipment and storage medium | |
CN113392077B (en) | File detection method, device, equipment and storage medium | |
CN116720818B (en) | Warehouse processing method, device and computer equipment based on block chain | |
CN109345401B (en) | Data synchronization method and device for product data, computer equipment and storage medium | |
CN116303272A (en) | Method and device for processing plans |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |