A detection system and detection method for realizing context consistency

Abstract

The invention provides a detecting system for realizing context consistency. The system comprises a constraint analysis module, a context matching and scheduling module and a consistency detecting module. By means of the constraint analysis module, through the structural analysis of a series of consistency constraints needing to be met by a self-adaptive program, any suspicious context informationcombination mode probably causing new consistency error undetectable can be obtained through analysis in advance; a context information stream is matched with the suspicious combination mode throughthe context matching and scheduling module, and the detecting technology is scheduled and a proper scheduling decision is made in a self-adaptive mode according to the matching result guidance; the consistency error detecting module calls an existing consistency detecting technology according to the scheduling decision making result to detect a context queue for decision making. The invention further provides a detecting method for realizing context consistency.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a detection system and a detection method for realizing context consistency. Background technique [0002] Adaptive application is a kind of application that can perceive the environment and make corresponding changes to its own behavior. It can provide more suitable services through the self-adaptation of the environment perception and self-adaptation. In recent years, it has appeared more and more widely. in our work and life. Many applications on smartphones widely use various sensor information, such as the Locale application on Android phones, which can intelligently guess the user's current status and automatically adjust the status of the phone by using GPS information; smart home applications, by sensing the surrounding environment temperature, Information such as humidity automatically adjusts home appliances. [0003] However, due to the com...

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Problems solved by technology

[0003] However, due to the complexity of the environment and the noise interference in the perception process, the environmental information (also called context information) obtained by the application may have a lot of inaccuracies, which will lead to abnormalities in the series of operations based on the application.

[0004] Existing technologies usually perform consistency detection on the previous information based on consistency constraints, so as to report the occurrence of consistency errors in the context of the environment to mitigate this threat. However, due to the huge amount of context information generated by the perceived environment , although the detection methods of the existing technologies are different, some adopt comprehensive detection, and some use incremental detection, but because most of them follow the context information one by one detection, the detection efficiency may not be able to meet the frequent changes brought about by the huge environmental changes faced by real applications. The generated context information has high requirements for the timeliness of consistency detection. In order to handle the huge amount of data in real life and achieve more efficient context consistency detection, the mechanism of one-by-one detection is fundamentally changed, thereby further improving the detection rate. very necessary

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