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Lightweight rule-based WoT (Web of Things) monitoring system

A monitoring system, the technology of the World Wide Web, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as the complexity of mutual integration

Active Publication Date: 2015-07-08
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The heterogeneity of IoT-aware devices, such as differences in heterogeneous networks, data descriptions, transmission methods, etc., leads to the complexity of cooperation and integration between different applications

Method used

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  • Lightweight rule-based WoT (Web of Things) monitoring system
  • Lightweight rule-based WoT (Web of Things) monitoring system
  • Lightweight rule-based WoT (Web of Things) monitoring system

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0055] 1. System model

[0056] System model such as figure 1 shown. It mainly includes three parts: perception equipment module, information processing module and decision-making module. Its main process is:

[0057] The data source transmits the monitored data to the data processing center in real time for processing, mainly including: checking the validity of the data, such as whether the data is complete, whether the data format is valid, etc.; data semantic conversion, such as sensors from different manufacturers monitoring the same physical phenomenon , but the data description fields are different; data storage includes temporary storage and permanent storage;

[0058] The rule base is used to store user-defined rules, these rules can use the existing knowledge in the knowledge base in addition to the data monitored by the sensor.

[0059] The rule engine executes user rules to process data and generate corresponding information;

[0060] Notify the real-time mo...

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Abstract

The invention relates to a lightweight rule-based WoT (Web of Things) monitoring system, comprising a sensing device module, an information processing module and a decision making module, wherein the sensing device module comprises data source 1 to data source n; the information processing module comprises a rule library, a knowledge base, a rule engine and a data processing center; the decision making module comprises an event processing system, a decision making system and a realtime monitoring system, and wherein the data source 1 to the data source n are connected to the input end of the data processing center, respectively; the output ends of the data processing center, the rule base and the knowledge base are connected to the input end of the rule engine; the output end of the rule engine is connected to the input end of the event processing system; the output end of the event processing system is connected to the input end of the precision making system and the output end of the precision making system is connected to the input end of the realtime monitoring system; and the sensing device module is used for acquiring perception data, transmitting the data to the information processing module through the Web technology, and generating a corresponding event and submitting the event to the precision making module for further processing.

Description

technical field [0001] The invention relates to a lightweight rule-based monitoring system of the World Wide Web (Web of things, WoT). Background technique [0002] Sensor technology has been widely used in the monitoring and perception of the real physical world, such as health status monitoring, mine monitoring, ocean monitoring, smart home, etc. In many practical application scenarios, in order to accurately monitor a certain phenomenon or event, a variety of different types of sensing devices can be deployed to monitor various parameters, and finally these different parameters are integrated into higher-level information. Traditional multi-source data fusion technology performs complex mathematical calculations on multi-source data. Its shortcoming is that the algorithm is specific and cannot be integrated with the knowledge base, which lacks flexibility. For example, in a health monitoring system, the patient’s dose of medicine is determined or the patient’s health in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 李养群沈苏彬
Owner NANJING UNIV OF POSTS & TELECOMM
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