The invention discloses a method for realizing operation and maintenance knowledge base-based information perception. The method comprises the following steps of: monitoring updating of distributed information nodes and storing context information by an information node monitor; indexing and retrieving the stored context information by a context retriever; providing services for the information node monitor and the context retriever by utilizing an interpreter; when the fact that a context is changed is retrieved, carrying out self-adaptive management by using an operation and maintenance-related noumenon; reasoning a high-grade context according to the operation and maintenance-related noumenon in an operation and maintenance knowledge base; and providing the high-grade context for a uniform service management software platform so as to realize automatic pre-warning and precaution of accidents.

Method for realizing operation and maintenance knowledge base-based information perception

The invention discloses a ubiquitous computing operation system architecture based on multiple agents. The architecture is characterized in that changes of a ubiquitous environment are perceived through information nodes, an information node monitor is responsible for monitoring update from the distributed information nodes and update of stored context information, a context retriever is responsible for indexing and retrieving the stored context information, an interpreter is utilized to provide services for the information node monitor and the context retriever, and when a change of a contextis retrieved, relevant ontology is used for adaptive management and also used to infer a high-level context according to relevant ontology in a cloud knowledge base, the high-level context is supplied to an effective device, and the effective device acts on the ubiquitous environment through a multi-agent communication system.

Ubiquitous computing operation system architecture based on multiple agents

The invention discloses internet of Vehicles multi-information fusion and decision making middleware based on context awareness. An information node monitor is responsible for monitoring the update from distributed information nodes and stored context information, a context searcher is responsible for indexing and retrieving the stored context information, an interpreter provides service for the information node monitor and the context searcher, when a change of the context is retrieved, a rule engine is used for finding one or more matched targets and is used for reasoning a high-level context according to rules in a database for intelligent driving query, and the internet of Vehicles multi-information fusion and decision making middleware based on context awareness is constructed to enhance the traffic safety and improve the traffic efficiency.

Internet of Vehicles multi-information fusion and decision making middleware based on context awareness

The invention discloses an integration data center operation and maintenance cooperative system architecture based on a multi-agent. The architecture is characterized in that the change of the operation and maintenance environment is sensed by an information node (sensor); an information node monitor is responsible for monitoring the update from a distributed information node and stored context information; a context searcher is responsible for indexing and searching the stored context information; an interpreter is used for providing the service for the information node monitor and the context searcher; while a context is searched to be changed, an operation and maintenance related body is used for the self-adaptive management, and used for reasoning an advanced context according to the operation and maintenance related body in an operation and maintenance knowledge base; a decision-making agent and an executing agent are used for managing and controlling the message transmission between the agents, and providing to an effector; and a multi-agent communication system is used as the operation and maintenance environment.

Integration data center operation and maintenance cooperative system architecture based on multi-agent

The invention discloses a method for constructing information perception middleware based on an operation and maintenance knowledge base. According to the method, an information node monitor is responsible for monitoring update of distributed information nodes and stored context information; a context retriever is responsible for indexing and retrieving the stored context information; an interpreter is utilized to provide services for the information node monitor and the context retriever; when change of a context is retrieved, operation and maintenance relevant ontology is used for adaptive management and used for inferring a high-level context according to the operation and maintenance relevant ontology in the operation and maintenance knowledge base; the high-level context is provided for a unified service management software platform; and the information perception middleware is constructed through the interpreter, the context retriever, the operation and maintenance relevant ontology, the information node monitor and the operation and maintenance knowledge base to realize accident automatic early-warning prevention.

Method for constructing information perception middleware based on operation and maintenance knowledge base

The invention discloses a context sensing-based automatic auxiliary driving system An information node audiomonitor is in charge of monitoring updating of distributed information nodes and stored context information; a context retriever is in charge of indexing and retrieving the stored context information; an interpreter is used for providing service for the information node audiomonitor and the context retriever; and when context is retrieved to be changed, a rule engine is used for searching one or more matched targets as well as is used for ratiocinating high-level context according to the rule of a database, transmitting fusion information to a control unit and controlling an actuator and man-machine interaction to enhance automatic auxiliary driving

Zhang Jun

Papers

Context sensing-based automatic auxiliary driving system