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Semantic sensor network system and semantic sensing method for urban intelligent transportation

A technology of urban transportation and sensors, applied in the field of traffic information, can solve the problems that concepts cannot be understood by machines, sensor data cannot be connected to the Internet, and heterogeneous sensors, heterogeneous data and information cannot be connected uniformly.

Active Publication Date: 2013-09-25
WUXI INSTITUTION OF INTERNET OF THINGS +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most of the various sensor network systems currently used in the transportation field are dedicated to private networks. Separate sensor data cannot be connected to the Internet in a unified and standardized manner. At the same time, various concepts cannot be understood by machines. It is difficult to integrate and share information between different subsystems such as trajectory tracking, video capture, and overspeed detection involved in this monitoring and management, as well as between the traffic field and other industries, that is, various heterogeneous sensors, The unified access of heterogeneous data and information cannot realize the collaborative integration and semantic processing of traffic information on this basis, resulting in the inability to enable users to obtain the information they want to query more comprehensively and accurately

Method used

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  • Semantic sensor network system and semantic sensing method for urban intelligent transportation
  • Semantic sensor network system and semantic sensing method for urban intelligent transportation
  • Semantic sensor network system and semantic sensing method for urban intelligent transportation

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Embodiment 1

[0040] Most of the sensor network applications in the field of urban transportation use ground sensor networks. Because the standards for building these sensor networks are not uniform, there is a lack of sharing mechanisms, and the collaboration is poor. Monitoring equipment in different areas often use products from different sensor manufacturers. Due to the inconsistency of sensor equipment, data collection, processing, storage methods, and communication protocols, sensor networks cannot share data and coordinate work, making these networks "islands" , it is difficult to interconnect them together to achieve the purpose of effectively allocating and sharing resources.

[0041] On the whole, the urban traffic information system is composed of a series of subsystems that are both relatively independent and cooperative. The full play of the overall benefits of the urban intelligent transportation system depends largely on the coordination and integration of these subsystems. ...

Embodiment 2

[0078] This embodiment is based on the first embodiment, taking the traffic flow of urban roads and the monitoring application of precipitation in the environment as an example, and further describes each layer and each module in the first embodiment.

[0079] Assuming that the user wants to know the best route to a certain place, the system in this embodiment is constructed in the following way in order to achieve this purpose:

[0080] Semantic sensing layer: through the sensor description language (SML), realize the unified and standardized description of the underlying sensors, including the sensor model, data frame format, manufacturer and other information, so that the machine can automatically identify these sensors, and then connect them to the protocol Conversion service module, which connects the sensor data to the Internet after the protocol conversion is completed. Through the sensor description service module of the semantic sensing layer, the standardized access ...

Embodiment 3

[0092] Image 6 It is a flowchart of the third method of the present invention. This embodiment discloses a semantic sensing method for urban intelligent traffic, which is used in a network system including sensors and databases; the method includes the following steps:

[0093] S601: Perform a standardized description on the sensor and the traffic information data acquired by the sensor to obtain standardized data;

[0094] S602: Perform protocol conversion, so that the normalized data under various protocols are input into the database through the Internet;

[0095] S603: Establish an urban traffic ontology, and establish a unified format for the data in the database through the urban traffic ontology;

[0096] S604: Publish the data in the database to provide information query service;

[0097] S605: Utilize the urban traffic ontology to analyze the query sentence input by the user and raise a data acquisition request to acquire specified data in the database;

[0098] ...

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Abstract

The embodiment of the invention discloses a semantic sensor network system and a semantic sensing method for urban intelligent transportation. The system comprises a semantic sensing layer consisting of a sensor description service module and a protocol conversion service module, a semantic information layer consisting of a semantic body service module and a sensing observation service module, and a semantic application layer consisting of an entity searching service module and a synergy and integration service module. According to the embodiment of the invention, through the three layer architecture of the semantic sensing layer, the semantic information layer and the semantic application layer, the problems of sensor heterogeneity and semantic heterogeneity are solved, and the synergy and integration of traffic information and semantic processing are realized, so that synergic processing and integration of various information resources within the transportation industry as well as between the transportation industry and other industries can be realized, deeply-excavated information can be provided to users, moreover, the entity searching service is provided for the users, and the user can acquire inquired information more comprehensively and accurately.

Description

technical field [0001] The invention relates to the field of traffic information, in particular to a semantic sensor network system and a semantic sensing method for urban intelligent traffic. Background technique [0002] With the development of urban transportation, traffic congestion and road congestion are becoming more and more serious. Effectively obtaining road traffic data and realizing intelligent traffic monitoring and control are the keys to improving the efficiency of urban transportation and optimizing the urban transportation system. In this context, urban traffic information systems have an increasingly urgent need for a sensor network that can fully perceive the state of the objective physical world. [0003] However, most of the various sensor network systems currently used in the transportation field are dedicated to private networks. Separate sensor data cannot be connected to the Internet in a unified and standardized manner. At the same time, various con...

Claims

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Application Information

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IPC IPC(8): G06F17/30H04L29/06
Inventor 邵长东余志军王平黄绪勇李露露高彦潘强沈杰刘海涛
Owner WUXI INSTITUTION OF INTERNET OF THINGS
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