CN106777264A - Long-range march information processing system - Google Patents
Long-range march information processing system Download PDFInfo
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- CN106777264A CN106777264A CN201611236340.XA CN201611236340A CN106777264A CN 106777264 A CN106777264 A CN 106777264A CN 201611236340 A CN201611236340 A CN 201611236340A CN 106777264 A CN106777264 A CN 106777264A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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- G06N3/02—Neural networks
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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Abstract
The present invention relates to subscriber information management technical field,Specifically a kind of long-range march information processing system,It is characterized in that more than two management terminals are connected through internet with remote-control platform respectively,More than two collecting vehicle information terminals are connected through mobile communications network with remote-control platform respectively,The management terminal is provided with controller,Frequency read/write,Radio-frequency antenna,Wherein controller is connected with frequency read/write,Radio-frequency antenna is connected with frequency read/write,Each collecting vehicle information terminal is loaded with the RF tag that can be managed terminal recognition,Collecting vehicle information terminal is provided with central processing unit,Memory,Power supply,Serial communication circuit,Mobile Communication Circuit,Display circuit,Display,Voice output circuit,Loudspeaker,Warning circuit,The present invention is compared with prior art,With safe,The significant advantage such as reliable operation.
Description
Technical field：
The present invention relates to subscriber information management technical field, specifically a kind of long-range march information processing system.
Background technology：
Cloud computing is more and more paid attention to, in cloud computing as following developing direction of network communications industry
In system, problem of data safety is significant problem urgently to be resolved hurrily, how to ensure the safety of data transfer, storage, processing procedure
Property, seriously constrain the development of cloud computing industry.Encryption technology is the main security secrecy provision used in the communications field, its profit
The mess code (encrypted code) that significant data switchs to be difficult to decode is transmitted with technological means, after reaching trusted parties, then by solution
Close means obtain initial data.Traditional encryption technology is directed to Main Means with mathematics, and not only use cost is higher, and
There is the crack method of many maturations, caused security to be had a greatly reduced quality.
At present, motor vehicle has been the indispensable vehicles in people's daily life, the type and quantity of motor vehicle
Quickly increasing, therefore, in order to ensure the normal pass of motor vehicle, it is necessary to be united to the travel conditions of motor vehicle in road
Meter, so as to reach the purpose of traffic administration.
When traffic administration is carried out, detection the current of motor vehicle is most basic link.At present, main detection mode bag
Include：The modes such as loop coil, ultrasonic wave, microwave, video.Wherein, although the detection mode energy such as loop coil, ultrasonic wave, microwave
Enough detection vehicle is crossed and can interpolate that the speed and substantially travel direction of vehicle, but cannot carry out area to different vehicle
Point, it is impossible to enough trackings completed for designated vehicle；The mode of video detection is (for example, pass through video camera or infrared camera
Shot) although the information such as mark (for example, car plate), profile, specification, the color of vehicle can be shown, and can be by
The modes such as loop coil, ultrasonic wave, microwave determine the travel speed of vehicle, but the data traffic transmitted during video detection is very
Greatly, the car amount number and on urban road is a lot, if necessary to follow the trail of designated vehicle, then needs to extract every from video pictures
Individual vehicles identifications are simultaneously identified and contrast, therefore cannot almost realize the tracking to designated vehicle.
The content of the invention：
The present invention is for shortcoming and defect present in prior art, it is proposed that a kind of long-range march information processing system.
The present invention is reached by following measures：
A kind of long-range march information processing system, be provided with remote-control platform, more than two collecting vehicle information terminals,
More than two management terminals, it is characterised in that more than two management terminals are connected through internet with remote-control platform respectively
Connect, more than two collecting vehicle information terminals are connected through mobile communications network with remote-control platform respectively, the management
Terminal is provided with controller, frequency read/write, radio-frequency antenna, and wherein controller is connected with frequency read/write, radio-frequency antenna with penetrate
Frequency read write line is connected, and each collecting vehicle information terminal is loaded with the RF tag that can be managed terminal recognition, information of vehicles
Acquisition terminal be provided with central processing unit, memory, power supply, serial communication circuit, Mobile Communication Circuit, display circuit, display,
Voice output circuit, loudspeaker, warning circuit, wherein central processing unit respectively with memory, power supply, serial communication circuit, shifting
Dynamic telecommunication circuit, display circuit, voice output circuit, warning circuit are connected, and the output end of display circuit is connected with display
Connect, the output end of voice output circuit is connected with loudspeaker, data upload requests unit, data are provided with central processing unit and are added
Close unit, data packetization unit, data uploading unit, the download unit of implementing result for receiving remote-control platform；Far
Journey control platform is provided with data mining unit, and the data mining unit is handled as follows to the data for obtaining：
Step 1：The extracted data from database, the data to extracting carry out sliding-model control；
Step 2：The extracted data composition training set X from the database acquired in step 1, for training hash function, instruction
Practice collection size n byDetermine, wherein ta/ 2 values for representing confidence level, can be distributed critical value and obtain by t
, ε represents maximum allowable error；
Step 3：Hash function is trained with X, object function is first related to and is turned high-order real data to low-dimensional data, target letter
Number is defined as：
,
Wherein X is training set, and B is base space, and each vector of B trains the base vector for coming in being training set X, and S is X quilts
It is projected in the low-dimensional real number value in base space B, λ1And λ2It is the adjustable parameter obtained by ten folding cross validation methods, wi,jIt is X
In two instance XsiAnd XjBetween projection of the Euclidean distance in Gaussian kernel, SiAnd SjIt is two vectors in matrix S, Bi,jIt is
The element of ith row and jth column in matrix B, i=1,2,3 ... ..., n are the mark for representing example, and j=1,2,3 ... ... k are represented
The label of base vector, n is the number of example, and k is the number of base vector, and s ＞ 0 represent each element non-negative in S；
Step 4：Example to not obtaining binary code in database also carries out binary coding, crosses appellation to each
Example x, by s=(B ' B+2I)-1B ' x obtain the low-dimensional real number value of x, and its low-dimensional binary system is then obtained by hash function
Code, wherein B are the base spaces defined in step 2-2, and I is the unit matrix with dimension with B, and whole database is compiled
Code, completes the two dimensionization of data；
Step 5：Remove unnecessary conditional attribute, so as to analyze conditional attribute in resulting yojan for decision attribute
Decision rule；
Step 6：The inconsistent object and redundancy object in data are eliminated, wherein inconsistent object refers to identical conditional attribute
And the different object of decision attribute, redundancy object decision attribute also identical object for conditional attribute is identical
Step 7：Determine neural network model；
Step 8：Training neural network model, and realize Data Analysis Services by running algorithm；
Step 9：Display output result.
Heretofore described remote-control platform is provided with data reception module, data processing module, authentication module, knot
Fruit output module, wherein authentication module are located at the front end of data reception module, the output end and data of data reception module
Processing module is connected, and the output end of data processing module is connected with result output module, and the authentication module includes
Key generating unit, upload request receiving unit, identity authenticating unit, key transmitting element, decryption unit.
Heretofore described data processing module includes the statistics mould for being associated treatment to the sample data being input into
Block, the replication modules for producing multiple disturbance copies, for based on perturbation features and by the predetermined criteria for classification pair of application
Grader, the analyzer for obtaining analysis result based on classifier result that multiple disturbance copy is classified.
In the present invention collecting vehicle information terminal be additionally provided with the network congestion detection module that is connected with central processing unit and
Data communication is switched fast module, and wherein network congestion detection module includes that transmission delay rate of change acquisition module, a reference value are adjusted
Mould preparation block, judge whether that resetting a reference value module, a reference value resets module, jitter value computing module, wherein transmission delay change
Rate acquisition module, a reference value adjusting module, judge whether reset a reference value module be sequentially connected, judge whether reset a reference value mould
The output end of block resets module and jitter value computing module and is connected with a reference value respectively, a reference value reset the output end of module with
A reference value adjusting module is connected.
When in use, collecting vehicle information terminal is loaded with RF tag to the present invention, and each RF tag can be by pipe
The frequency read/write for managing terminal writes unique identity data, and management terminal can also be obtained by reading the information in RF tag
Identity data is taken, and identity data is uploaded in the database of remote-control platform, collecting vehicle information terminal can also lead to
Cross serial communication circuit and be written into unique identity data, in the course of the work, collecting vehicle information terminal can be with vehicle BMS
It is connected, obtains vehicle operation data, and data packing is uploaded to remote-control platform, and before above-mentioned data are uploaded,
Can first pass through and send data upload requests unit to remote-control platform, request remote-control platform is verifying its legal identity
Encryption key is issued after data, is uploaded after being encrypted to data to be sent；Data after upload after decryption by carrying out
Analyzing and processing, obtains user's driving information.
The present invention compared with prior art, with the significant advantage such as safe, reliable operation.
Brief description of the drawings：
Accompanying drawing 1 is structured flowchart of the invention.
Accompanying drawing 2 is the structured flowchart of management terminal in the present invention.
Accompanying drawing 3 is the structured flowchart of collecting vehicle information terminal in the present invention.
Accompanying drawing 4 is the structured flowchart of medium-long range control platform of the present invention.
Reference：Remote-control platform 1, collecting vehicle information terminal 2, management terminal 3, controller 4, frequency read/write
5th, radio-frequency antenna 6, central processing unit 7, memory 8, power supply 9, serial communication circuit 10, Mobile Communication Circuit 11, display circuit
12nd, display 13, voice output circuit 14, loudspeaker 15, warning circuit 16, DEU data encryption unit 17, data packetization unit 18,
Download unit 20, the data reception module 21, data of data uploading unit 19, implementing result for receiving remote-control platform
Processing module 22, authentication module 23, result output module 24, data upload requests unit 25.
Specific embodiment：
The present invention is further illustrated below in conjunction with the accompanying drawings.
As shown in drawings, the present invention proposes a kind of long-range march information processing system, is provided with remote-control platform 1, two
Collecting vehicle information terminal 2, more than two management terminals 3 more than individual, it is characterised in that 3 points of more than two management terminals
It is not connected with remote-control platform 1 through internet, more than two collecting vehicle information terminals 2 are respectively through mobile communications network
It is connected with remote-control platform 1, the management terminal 3 is provided with controller 4, frequency read/write 5, radio-frequency antenna 6, wherein controlling
Device 4 is connected with frequency read/write 5, and radio-frequency antenna 6 is connected with frequency read/write 5, and each collecting vehicle information terminal 2 is loaded with
Can be managed the RF tag of terminal recognition, collecting vehicle information terminal 2 be provided with central processing unit 7, memory 8, power supply 9,
Serial communication circuit 10, Mobile Communication Circuit 11, display circuit 12, display 13, voice output circuit 14, loudspeaker 15, report
Alert circuit 16, wherein central processing unit 7 respectively with memory 8, power supply 9, serial communication circuit 10, Mobile Communication Circuit 11, aobvious
Show that circuit 12, voice output circuit 14, warning circuit 16 are connected, the output end of display circuit 12 is connected with display 13,
The output end of voice output circuit 14 is connected with loudspeaker 15, and data upload requests unit 25, number are provided with central processing unit 7
According to ciphering unit 17, data packetization unit 18, data uploading unit 19, under the implementing result for receiving remote-control platform
The remote-control platform of carrier unit 20 is provided with data mining unit, and the data mining unit is located as follows to the data for obtaining
Reason：
Step 1：The extracted data from database, the data to extracting carry out sliding-model control；
Step 2：The extracted data composition training set X from the database acquired in step 1, for training hash function, instruction
Practice collection size n byDetermine, wherein ta/ 2 values for representing confidence level, can be distributed critical value and obtain by t
, ε represents maximum allowable error；
Step 3：Hash function is trained with X, object function is first related to and is turned high-order real data to low-dimensional data, target letter
Number is defined as：,
Wherein X is training set, and B is base space, and each vector of B trains the base vector for coming in being training set X, and S is that X is projected
Low-dimensional real number value in base space B, λ1And λ2It is the adjustable parameter obtained by ten folding cross validation methods, wi,jIt is two in X
Individual instance XiAnd XjBetween projection of the Euclidean distance in Gaussian kernel, SiAnd SjIt is two vectors in matrix S, Bi,jIt is matrix
The element of ith row and jth column in B, i=1,2,3 ... ..., n are the mark for representing example, and j=1,2,3 ... ... k represent basal orientation
The label of amount, n is the number of example, and k is the number of base vector, and s ＞ 0 represent each element non-negative in S；
Step 4：Example to not obtaining binary code in database also carries out binary coding, crosses appellation to each
Example x, by s=(B ' B+2I)-1B ' X obtain the low-dimensional real number value of x, and its low-dimensional binary system is then obtained by hash function
Code, wherein B are the base spaces defined in step 2-2, and I is the unit matrix with dimension with B, and whole database is compiled
Code, completes the two dimensionization of data；
Step 5：Remove unnecessary conditional attribute, so as to analyze conditional attribute in resulting yojan for decision attribute
Decision rule；
Step 6：The inconsistent object and redundancy object in data are eliminated, wherein inconsistent object refers to identical conditional attribute
And the different object of decision attribute, redundancy object decision attribute also identical object for conditional attribute is identical
Step 7：Determine neural network model；
Step 8：Training neural network model, and realize Data Analysis Services by running algorithm；
Step 9：Display output result.
Heretofore described remote-control platform 1 is provided with data reception module 21, data processing module 22, authentication mould
Block 23, result output module 24, wherein authentication module position 23 are in the front end of data reception module 21, data reception module 21
Output end be connected with data processing module 22, the output end of data processing module 22 is connected with result output module 24,
The authentication module include Key generating unit, upload request receiving unit, identity authenticating unit, key transmitting element,
Decryption unit.
Heretofore described data processing module 22 includes the statistics for being associated treatment to the sample data being input into
Module, the replication modules for producing multiple disturbance copies, for based on perturbation features and by the predetermined criteria for classification of application
Grader, the analyzer for obtaining analysis result based on classifier result classified to multiple disturbance copy.
In the present invention collecting vehicle information terminal 2 be additionally provided with the network congestion detection module that is connected with central processing unit and
Data communication is switched fast module, and wherein network congestion detection module includes that transmission delay rate of change acquisition module, a reference value are adjusted
Mould preparation block, judge whether that resetting a reference value module, a reference value resets module, jitter value computing module, wherein transmission delay change
Rate acquisition module, a reference value adjusting module, judge whether reset a reference value module be sequentially connected, judge whether reset a reference value mould
The output end of block resets module and jitter value computing module and is connected with a reference value respectively, a reference value reset the output end of module with
A reference value adjusting module is connected.
When in use, collecting vehicle information terminal is loaded with RF tag to the present invention, and each RF tag can be by pipe
The frequency read/write for managing terminal writes unique identity data, and management terminal can also be obtained by reading the information in RF tag
Identity data is taken, and identity data is uploaded in the database of remote-control platform, collecting vehicle information terminal can also lead to
Cross serial communication circuit and be written into unique identity data, in the course of the work, collecting vehicle information terminal can be with vehicle BMS
It is connected, obtains vehicle operation data, and data packing is uploaded to remote-control platform, and before above-mentioned data are uploaded,
Can first pass through and send data upload requests unit to remote-control platform, request remote-control platform is verifying its legal identity
Encryption key is issued after data, is uploaded after being encrypted to data to be sent；Data after upload after decryption by carrying out
Analyzing and processing, obtains user's driving information.
The present invention compared with prior art, with the significant advantage such as safe, reliable operation.
Claims (4)
1. a kind of long-range march information processing system, is provided with remote-control platform, more than two collecting vehicle information terminals, two
Management terminal more than individual, it is characterised in that more than two management terminals are connected through internet with remote-control platform respectively
Connect, more than two collecting vehicle information terminals are connected through mobile communications network with remote-control platform respectively, the management
Terminal is provided with controller, frequency read/write, radio-frequency antenna, and wherein controller is connected with frequency read/write, radio-frequency antenna with penetrate
Frequency read write line is connected, and each collecting vehicle information terminal is loaded with the RF tag that can be managed terminal recognition, information of vehicles
Acquisition terminal be provided with central processing unit, memory, power supply, serial communication circuit, Mobile Communication Circuit, display circuit, display,
Voice output circuit, loudspeaker, warning circuit, wherein central processing unit respectively with memory, power supply, serial communication circuit, shifting
Dynamic telecommunication circuit, display circuit, voice output circuit, warning circuit are connected, and the output end of display circuit is connected with display
Connect, the output end of voice output circuit is connected with loudspeaker, data upload requests unit, data are provided with central processing unit and are added
Close unit, data packetization unit, data uploading unit, the download unit of implementing result for receiving remote-control platform；Far
Journey control platform is provided with data mining unit, and the data mining unit is handled as follows to the data for obtaining：
Step 1：The extracted data from database, the data to extracting carry out sliding-model control；
Step 2：The extracted data composition training set X from the database acquired in step 1, for training hash function, training set
Size n byDetermine, wherein tα/2The value of confidence level is represented, critical value can be distributed by t and obtained, ε tables
Show the allowable error of maximum；
Step 3：Hash function is trained with X, object function is first related to and is turned high-order real data to low-dimensional data, object function is fixed
Justice is：
,
Wherein X is training set, and B is base space, and each vector of B trains the base vector for coming in being training set X, and S is X quilts
It is projected in the low-dimensional real number value in base space B, λ1And λ2It is the adjustable parameter obtained by ten folding cross validation methods, wi,jIt is X
In two instance XsiAnd XjBetween projection of the Euclidean distance in Gaussian kernel, SiAnd SjIt is two vectors in matrix S, Bi,jIt is
The element of ith row and jth column in matrix B, i=1,2,3 ... ..., n are the mark for representing example, and j=1,2,3 ... ... k are represented
The label of base vector, n is the number of example, and k is the number of base vector, and s ＞ 0 represent each element non-negative in S；
Step 4：Example to not obtaining binary code in database also carries out binary coding, crosses appellation to each example
X, by s=(B ' B+2I)-1B ' x obtain the low-dimensional real number value of x, and its low-dimensional binary system generation is then obtained by hash function
Code, wherein B is the base space defined in step 2-2, and I is the unit matrix with dimension with B, and whole database is encoded,
Complete the two dimensionization of data；
Step 5：Remove unnecessary conditional attribute, so as to analyze conditional attribute the determining for decision attribute in resulting yojan
Plan rule；
Step 6：The inconsistent object and redundancy object in data are eliminated, wherein inconsistent object refers to conditional attribute identical and determine
The different object of plan attribute, redundancy object decision attribute also identical object for conditional attribute is identical
Step 7：Determine neural network model；
Step 8：Training neural network model, and realize Data Analysis Services by running algorithm；
Step 9：Display output result.
2. a kind of long-range march information processing system according to claim 1, it is characterised in that the remote-control platform
Data reception module, data processing module, authentication module, result output module are provided with, wherein authentication module is located at
The front end of data reception module, the output end of data reception module is connected with data processing module, data processing module it is defeated
Go out end to be connected with result output module, the authentication module includes Key generating unit, upload request receiving unit, body
Part authentication unit, key transmitting element, decryption unit.
3. a kind of long-range march information processing system according to claim 1, it is characterised in that the data processing module
Backed stamper including the statistical module for being associated treatment to the sample data being input into, for producing multiple disturbance copies
Block, grader, use for being classified to multiple disturbance copy based on perturbation features and by the predetermined criteria for classification of application
In the analyzer that analysis result is obtained based on classifier result.
4. a kind of long-range march information processing system according to claim 1, it is characterised in that collecting vehicle information terminal
It is additionally provided with the network congestion detection module that is connected with central processing unit and data communication is switched fast module, wherein network congestion
Detection module includes transmission delay rate of change acquisition module, a reference value adjusting module, judges whether to reset a reference value module, benchmark
Value reset module, jitter value computing module, wherein transmission delay rate of change acquisition module, a reference value adjusting module, judge whether
Reset a reference value module to be sequentially connected, judge whether that the output end for resetting a reference value module resets module and trembles with a reference value respectively
Dynamic value computing module is connected, and the output end that a reference value resets module is connected with a reference value adjusting module.
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| CN201611236340.XA CN106777264A (en) | 2016-12-28 | 2016-12-28 | Long-range march information processing system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114547551A (en) * | 2022-02-23 | 2022-05-27 | 阿波罗智能技术(北京)有限公司 | Pavement data acquisition method based on vehicle reported data and cloud server |
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