An Internet of Things data integration management solution based on middleware architecture

Abstract

The invention discloses an Internet of Things data integration management scheme based on a middleware architecture. The data integration management scheme divides the collection of Internet of Things data and the integrated management architecture into four layers, which are user interface layer, application layer, and data integration layer. and the underlying heterogeneous layer. In the environment of the Internet of Things, aiming at the data integration layer, the middleware architecture of data acquisition in the Internet of Things is proposed, and each functional module and specific design process of the middleware are elaborated. Based on the middleware, the present invention proposes an integrated management framework for the heterogeneous database of the Internet of Things, and combines the middleware architecture and the integrated management framework to realize the unified management of data in the Internet of Things and meet the needs of users well. Therefore, it has Certain practical use value.

Description

technical field [0001] The invention relates to the application field of Internet of Things data management technology, in particular to an Internet of Things data integration management solution based on a middleware architecture. Background technique [0002] The Internet of Things is an emerging hot technology in the world and at home, which is bringing profound changes to people's production and lifestyle. While the Internet of Things brings many benefits, it also brings unprecedented challenges to software and even the entire information technology field. With the rapid development of the Internet of Things, the heterogeneous data that can be obtained is showing an explosive growth trend. An Internet of Things system can contain various sensors, such as traffic sensors, geological sensors, meteorological sensors, etc., each of which includes Many specific sensors, such as temperature and humidity sensor node (sensor) data, RFID or barcode reader data, etc., and due to ...

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Problems solved by technology

[0003] On the other hand, in the Internet of Things, it is usually necessary to store long-term historical and current sampling data to meet the needs of traceability processing and statistical analysis, while the storage capacity of sensor nodes and RFID readers is relatively limited, and it is difficult to meet the requirements of long-term sampling data. storage requirements

Therefore, it is necessary to store the sampled data in the database. The data collected by the nodes in the Internet of Things may be stored in different databases, and these heterogeneous databases have different operating environments, data storage methods, data models, and access control strategies. , causing users to be unable to query and process data on each database at the same time, which will hinder data circulation and information sharing

[0004] Therefore, how to design a unified and integrated data management solution that satisfies the information nodes of the Internet of Things, so as to meet the diversified requirements of users for information access with increasing data volume, and how to provide services for users without changing the original heterogeneous databases Providing an integrated and transparent access environment so that users can access these heterogeneous databases in a unified mode has become a data processing technical problem that hinders the development of the Internet of Things

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