CN111932890A - Intelligent management traffic system based on big data - Google Patents

Intelligent management traffic system based on big data Download PDF

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Publication number
CN111932890A
CN111932890A CN202010839536.8A CN202010839536A CN111932890A CN 111932890 A CN111932890 A CN 111932890A CN 202010839536 A CN202010839536 A CN 202010839536A CN 111932890 A CN111932890 A CN 111932890A
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China
Prior art keywords
module
data
traffic
unit
data processing
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Pending
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CN202010839536.8A
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Chinese (zh)
Inventor
文宏
张玺君
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Gansu Institute of Mechanical and Electrical Engineering
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Gansu Institute of Mechanical and Electrical Engineering
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Priority to CN202010839536.8A priority Critical patent/CN111932890A/en
Publication of CN111932890A publication Critical patent/CN111932890A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/54Interprogram communication
    • G06F9/546Message passing systems or structures, e.g. queues
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/54Indexing scheme relating to G06F9/54
    • G06F2209/548Queue

Abstract

The invention discloses an intelligent management traffic system based on big data, which is applied to the field of traffic systems and comprises a data acquisition module (1), a transmission module (2), a data processing module (3), a centralized control module (4), a diversion module (5) and a remote control center (7); the invention realizes large data storage, information integration and information sharing through a distributed database and a relational database, realizes data concentration and real-time processing of vehicle passing data through a distributed message queue and a real-time flow calculation technology, and forms an intelligent traffic network by integrating all modules together, thereby effectively solving the requirements of modern traffic and powerfully promoting the development of the intelligent traffic industry.

Description

Intelligent management traffic system based on big data
Technical Field
The invention relates to the field of traffic systems, in particular to an intelligent management traffic system based on big data.
Background
The construction of smart cities is the fourth wave of human society after industrialization, electronization and informatization, and is reflected as the leading trend of the development of world cities. The method has great practical significance and profound historical significance for changing an economic development mode, improving urban functional quality, effectively guaranteeing improvement of the livelihood and solving urban development problems, accelerating innovation of social management, promoting government function change, increasing scientific and technological innovation strength, promoting new industries and the like.
As an important component of the construction of the smart city, the intelligent traffic construction is an important hand grip and foot drop point for the construction of the smart city and an important support for the construction of the smart city. The urban traffic control system is a computer monitoring system for traffic data detection, traffic signal lamp control and traffic guidance of the whole city, becomes an important component of the modern traffic monitoring system, is mainly used for urban road traffic control and management, and plays an important role in improving the traffic capacity of urban roads and relieving urban traffic congestion. However, a large amount of data information makes people search troublesome, people always need a large amount of data in the process of continuously optimizing data management processing, and if the data management processing completely depends on paper processing, the processing effect is very low.
Therefore, a need exists for a traffic data processing system that can intelligently process traffic data, monitor traffic control data in real time, and facilitate traffic arrangement schemes, which is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides an intelligent traffic management system based on big data.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent management traffic system based on big data comprises a data acquisition module, a transmission module, a data processing module, a centralized control module, a flow guide module and a remote control center;
the output end of the data acquisition module is connected with the input end of the transmission module, and the data acquisition module is used for acquiring traffic data information and inputting the traffic data information into the transmission module;
the first output end of the transmission module is connected with the data processing module, and the transmission module is used for inputting the traffic data information into the data processing module;
the first output end of the data processing module is connected with the centralized control module, the data processing module performs mathematical processing on the acquired traffic data information and inputs a data processing result into the centralized control module;
the first output end of the centralized control module is connected with the input end of the diversion module, the second output end of the centralized control module is in data transmission with the remote control center through wireless communication, and the centralized control module is used for receiving the data processing result input by the data processing module and making a corresponding instruction according to the data processing result;
the flow guide module is used for realizing traffic flow control according to the instruction of the centralized control module;
the remote control center is used for prompting the operating personnel at the first time when an emergency occurs, so that the emergency is convenient to process in time.
Preferably, the data acquisition module includes, but is not limited to, a traffic flow monitoring unit and a smoke monitoring unit, and realizes monitoring of vehicle flow, detection of vehicle data smoke and other related traffic data information.
Preferably, the data processing module comprises a data access unit, a distributed message queue unit, a real-time streaming computing unit, a distributed database, a relational database, an offline data mining unit, an inquiry index unit and a data processing output unit;
the output end of the data access unit is connected with the distributed message queue unit, the data access unit integrates and applies multithreading, multi-service WEB technology and data concurrent processing technology, and establishes a uniform access and exchange interface to realize real-time and concurrent uploading and processing of monitoring information of each traffic detection device;
the first output end of the distributed message queue unit is connected with the real-time streaming type calculating unit, the distributed message queue unit receives various types of collected data uploaded by the traffic collecting equipment in real time through the data access unit, and the real-time streaming type calculating unit is used for calculating vehicle passing data;
the second output end of the distributed message queue unit is connected with the distributed database, and the distributed database stores the monitoring data input by the distributed message queue unit;
the distributed database is sequentially connected with the offline data mining unit and the data processing and outputting unit, and the offline data mining module utilizes the vehicle passing data and the traffic flow data in the distributed database, adopts a timing calculation mode, and realizes simulation and analysis of the current traffic situation and provides assistance for road planning and management decision by establishing a traffic and mathematical model;
and the third output end of the distributed message queue unit is sequentially connected with the relational database and the data processing output unit, and the relational database adopts a relational database oracle to store monitoring equipment information, illegal data and the like.
Preferably, still include the fault monitoring module, the fault monitoring module with centralized control module connects, the fault detection module includes single chip microcomputer controller and alarm, single chip microcomputer controller is connected with the alarm through connecting gradually voltage comparison circuit and warning circuit.
Preferably, the system further comprises a database module and a verification module, wherein the database module is connected with the transmission module and stores the original monitoring data sent by the transmission module, the data processing module is sequentially connected with the verification module and the database module, and the verification module is used for verifying the identity information of the personnel who call the information from the data in the database module through the data processing module.
Through the technical scheme, compared with the prior art, the intelligent management traffic system based on the big data is provided, the big data storage, the information integration and the information sharing are realized through the distributed database and the relational database, the data concentration and the real-time processing of the vehicle passing data are realized through the distributed message queue and the real-time flow calculation technology, and the intelligent traffic network is formed by integrating all modules, so that the requirement of modern traffic can be effectively met, and the development of the intelligent traffic industry is powerfully promoted.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a data acquisition module according to the present invention;
FIG. 3 is a schematic diagram of a data processing module;
in fig. 1-3:
the method comprises the following steps of 1-a data acquisition module, 11-a traffic flow monitoring unit, 12-a smoke monitoring unit, 2-a transmission module, 3-a data processing module, 31-a data access unit, 32-a distributed message queue unit, 33-a real-time streaming type calculation unit, 34-a distributed database, 35-a relational database, 36-an offline data mining unit, 37-a data processing output unit, 4-a centralized control module, 5-a flow guide module, 6-a fault monitoring module, 7-a remote control center, 8-a database module and 9-a verification module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, an intelligent management traffic system based on big data comprises a data acquisition module 1, a transmission module 2, a data processing module 3, a centralized control module 4, a diversion module 5 and a remote control center 7;
the output end of the data acquisition module 1 is connected with the input end of the transmission module 2, and the data acquisition module 1 is used for acquiring traffic flow information and tail gas information and inputting the acquired data into the transmission module 2;
the first output end of the transmission module 2 is connected with the data processing module 3, and the transmission module 2 is used for inputting the input data information into the data processing module 3;
a first output end of the data processing module 3 is connected with the centralized control module 4, the data processing module 3 performs mathematical processing on the acquired data and inputs a processing result into the centralized control module 4;
a first output end of the centralized control module 4 is connected with an input end of the diversion module 5, a second output end of the centralized control module 4 carries out data transmission with a remote control center 7 through wireless communication, and the centralized control module 4 is used for receiving a data processing result input by the data processing module 3 and making a corresponding instruction according to the data processing result;
the flow guide module 5 is used for realizing traffic flow control according to the instruction of the centralized control module 4; the diversion module can control the signal lamp according to the instruction, and the running control of the vehicle is realized.
The remote control center 7 is used for prompting the operator at the first time when an emergency occurs, so that the processing is convenient to be carried out in time; the remote control center 7 comprises an oversized display screen, a console and an audible and visual alarm, and once an emergency occurs in the position of the traffic junction, the audible and visual alarm gives an alarm to prompt operators to call detailed information at the first time, so that the operators can timely handle the emergency.
And the fault monitoring module 6 is connected with the centralized control module 4, the fault detection module 6 comprises a single chip microcomputer controller and an alarm, and the single chip microcomputer controller is connected with the alarm through a voltage comparison circuit and an alarm circuit which are connected in sequence.
Still include database module 8 and verification module 9, database module 8 is connected with transmission module 2, and the original monitoring data that storage transmission module 2 sent, data processing module 3 connect gradually verification module 9 and database module 8, and verification module 9 is used for verifying the personnel's identity information who transfers information through data processing module 3 to the data in database module 8.
In a specific embodiment, referring to fig. 2, the data acquisition module 1 includes a traffic flow monitoring unit 11 and a smoke monitoring unit 12, which implement monitoring of vehicle flow and detection of vehicle data smoke. The data acquisition module 1 may further include other traffic-related monitoring units to realize comprehensive acquisition of traffic data.
In a specific embodiment, referring to fig. 3, the data processing module 3 includes a data access unit 31, a distributed message queue unit 32, a real-time streaming calculation unit 33, a distributed database 34, a relational database 35, an offline data mining unit 36, a query indexing unit 37, and a data processing output unit 38;
the output end of the data access unit 31 is connected with the distributed message queue unit 32, the data access unit 31 integrates and applies multithreading, multi-service WEB technology and data concurrent processing technology, and establishes a uniform access and exchange interface to realize real-time and concurrent uploading and processing of monitoring information of each traffic detection device;
the first output end of the distributed message queue unit 32 is connected with the real-time streaming type calculating unit 33, the distributed message queue unit 32 receives various types of collected data uploaded by the traffic collecting devices in real time through the data access unit 31, and the real-time streaming type calculating unit 33 is used for calculating vehicle passing data;
a second output end of the distributed message queue unit 32 is connected to the distributed database 34, and the distributed database 34 stores the monitoring data input by the distributed message queue unit 32;
the distributed database 34 is sequentially connected with an offline data mining unit 36 and a data processing output unit 38, the offline data mining module 36 utilizes the vehicle passing data and the traffic flow data in the distributed database 34, adopts a timing calculation mode, and realizes simulation and analysis of the current traffic situation and provides assistance for road planning and management decision by establishing a traffic and mathematical model;
the third output end of the distributed message queue unit 32 is sequentially connected to the relational database 35 and the data processing output unit 37, and the relational database 32 stores monitoring device information, illegal data and the like by using a relational database oracle.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention in a progressive manner. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (5)

1. An intelligent management traffic system based on big data is characterized by comprising a data acquisition module (1), a transmission module (2), a data processing module (3), a centralized control module (4), a flow guide module (5) and a remote control center (7);
the output end of the data acquisition module (1) is connected with the input end of the transmission module (2), and the data acquisition module (1) is used for acquiring traffic data information and inputting the traffic data information into the transmission module (2);
the first output end of the transmission module (2) is connected with the data processing module (3), and the transmission module (2) is used for inputting the traffic data information into the data processing module (3);
a first output end of the data processing module (3) is connected with the centralized control module (4), the data processing module (3) processes the traffic data information and inputs a data processing result into the centralized control module (4);
a first output end of the centralized control module (4) is connected with an input end of the diversion module (5), a second output end of the centralized control module (4) performs data transmission with the remote control center (7) through wireless communication, and the centralized control module (4) is used for receiving the data processing result input by the data processing module (3) and making a corresponding instruction according to the data processing result;
the flow guide module (5) is used for realizing traffic flow control according to the instruction of the centralized control module (4);
the remote control center (7) is used for prompting the operating personnel at the first time when an emergency occurs, so that the emergency is convenient to process in time.
2. The intelligent big data based traffic management system of claim 1,
the data acquisition module (1) comprises a traffic flow monitoring unit (11) and a smoke monitoring unit (12) but is not limited to the traffic flow monitoring unit.
3. The intelligent big data based traffic management system of claim 1,
the data processing module (3) comprises a data access unit (31), a distributed message queue unit (32), a real-time streaming calculation unit (33), a distributed database (34), a relational database (35), an offline data mining unit (36), a query index unit (37) and a data processing output unit (38);
the output end of the data access unit (31) is connected with the distributed message queue unit (32), the data access unit (31) integrates and applies multithreading, multi-service WEB technology and data concurrent processing technology, and establishes a uniform access and exchange interface to realize real-time and concurrent uploading and processing of monitoring information of each traffic detection device;
a first output end of the distributed message queue unit (32) is connected with the real-time streaming type calculating unit (33), the distributed message queue unit (32) receives various types of collected data uploaded by the traffic collecting equipment in real time through the data access unit (31), and the real-time streaming type calculating unit (33) is used for calculating vehicle passing data;
a second output end of the distributed message queue unit (32) is connected with the distributed database (34), and the distributed database (34) stores the monitoring data input by the distributed message queue unit (32);
the distributed database (34) is sequentially connected with the offline data mining unit (36) and the data processing output unit (38), and the offline data mining module (36) utilizes the vehicle passing data and the traffic flow data in the distributed database (34), adopts a timing calculation mode, and realizes simulation and analysis of the current traffic situation and provides assistance for road planning and management decision by establishing a traffic and mathematical model;
the third output end of the distributed message queue unit (32) is sequentially connected with the relational database (35) and the data processing output unit (37), and the relational database (32) stores monitoring equipment information and illegal data by adopting a relational database oracle.
4. The intelligent big data based traffic management system of claim 1,
still include fault monitoring module (6), fault monitoring module (6) with centralized control module (4) are connected, fault detection module (6) include single chip microcomputer controller and alarm, single chip microcomputer controller is connected through connecting gradually voltage comparison circuit, warning circuit and alarm.
5. An intelligent big data based traffic management system according to any one of claims 1-4,
still include database module (8) and verification module (9), database module (8) with transmission module (2) are connected, store the original monitoring data that transmission module (2) sent, data processing module (3) connect gradually verification module (9) with database module (8), verification module (9) are used for right the personnel's identity information who passes through data processing module (3) are right data in database module (8) are transferred and are got the information is verified.
CN202010839536.8A 2020-08-19 2020-08-19 Intelligent management traffic system based on big data Pending CN111932890A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112835878A (en) * 2021-01-05 2021-05-25 上海图丽信息技术有限公司 Method for fusing real-time structuralization of multi-source big data
CN113298686A (en) * 2021-05-18 2021-08-24 深圳市博网科技有限公司 Big data application system and method based on Internet of things

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CN107909833A (en) * 2017-12-19 2018-04-13 安徽省徽腾智能交通科技有限公司 A kind of intelligent transportation system of transport hub
WO2018103315A1 (en) * 2016-12-09 2018-06-14 上海壹账通金融科技有限公司 Monitoring data processing method, apparatus, server and storage equipment
CN111179599A (en) * 2020-02-12 2020-05-19 郑州商学院 Intelligent traffic management system based on big data

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Publication number Priority date Publication date Assignee Title
CN101034406A (en) * 2007-04-04 2007-09-12 同济大学 Multicomponent data source traffic information fusion method based on distributed architecture
WO2018103315A1 (en) * 2016-12-09 2018-06-14 上海壹账通金融科技有限公司 Monitoring data processing method, apparatus, server and storage equipment
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112835878A (en) * 2021-01-05 2021-05-25 上海图丽信息技术有限公司 Method for fusing real-time structuralization of multi-source big data
CN113298686A (en) * 2021-05-18 2021-08-24 深圳市博网科技有限公司 Big data application system and method based on Internet of things

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