Improvements to Online Distributed Monitoring Systems

2016 ◽  
Author(s):  
Bo Wang ◽  
Ying Song ◽  
Yuzhong Sun ◽  
Jun Liu
Keyword(s):  
Monitoring Systems ◽  
Distributed Monitoring

Research of Supporting Platform of Machine Olfaction

2013 ◽  
Vol 475-476 ◽  
pp. 550-553
Author(s):  
Hua Fang ◽  
Yun Xiang Liu ◽  
Wan Jun Yu ◽  
Wen Ju Li ◽  
Ming Lei Shu
Keyword(s):  
Gas Sensors ◽  
Sensor Array ◽  
Database Systems ◽  
Monitoring Systems ◽  
Distributed Monitoring ◽  
Sensor Performance ◽  
Sensors Array ◽  
Industrial Monitoring ◽  
Machine Olfaction ◽  
The Web

A template technology has been applied to the platform of machine olfaction. The simulation sensor array template receives field odor data or simulates the data via recorders in database, and transmits to the platform. The platform consists of several distributed monitoring subsystems based on the simulation template. Each subsystem matches a set of gas sensors array, and has functions of logging data, communicating and simulating industry application. The data from the subsystem and the preprocessed data are sent to the web server center and stored in the databases. The data has been collected, and sensor performance analyzing are performed by several layer algorithms. While the exchanging algorithms convert the field odor data to gas concentrations with ppm values, the expert systems or recognition algorithms analyze the ppm values and show the application results. All data of each layer are stored in server database systems, and each layer algorithms can been updated and saved. Finally, the supporting platform that applied to industrial monitoring systems, was developed with a kind of industrial configuration softwares, web MIS and databases, and was utilized to realize monitor to the environmental systems by the simulation template.

scholarly journals Agent Technology in Monitoring Systems

2010 ◽  
Vol 5 (5) ◽  
pp. 852
Author(s):  
Bogdan Pătruţ ◽  
Cosmin Tomozei
Keyword(s):  
Intelligent Agents ◽  
Systems Development ◽  
Agent Technology ◽  
Monitoring Systems ◽  
Distributed Monitoring ◽  
Technology Application

The aim of this paper is to make a brief presentation of the results obtained by the authors regarding agent technology application in distributed monitoring systems development. Consequently, we would like to present MAgeLan and ContTest as monitoring systems based on intelligent agents technology. Formal aspects regarding intelligent agents will be mentioned. Quantitative issues concerning efficiency, maintenance and reengineering are also to be taken into account.

Improving maintenance processes with distributed monitoring systems

2016 ◽  
Author(s):  
Hans Fleischmann ◽  
Johannes Kohl ◽  
Jorg Franke ◽  
Andreas Reidt ◽  
Markus Duchon ◽  
...  
Keyword(s):  
Monitoring Systems ◽  
Distributed Monitoring

ANOMALIES DETECTION BASED ON HETEROGENEOUS DATA IN DISTRIBUTED MONITORING SYSTEMS

2020 ◽  
Vol 1 (11) ◽  
pp. 24-32
Author(s):  
Yana A. Bekeneva ◽  
Keyword(s):  
Data Analysis ◽  
Moving Objects ◽  
Great Influence ◽  
Analysis Data ◽  
Heterogeneous Data ◽  
Monitoring Systems ◽  
Distributed Monitoring ◽  
Data Format ◽  
Intelligent Analysis

Various kinds of abnormal situations in the processes can be associated with both minor deviations and serious malfunctions or violations that can lead to irreparable consequences and financial losses. Timely identification of anomalies allows you to influence the course of the process and minimize the consequences of detected deviations from the normal course of the process. Anomaly detection is one of the tasks of data analysis. Modern monitoring systems contain a large number of different devices, the data from which can be used as initial data for intellectual analysis. Data preprocessing has a great influence on the quality of the analysis. The paper presents the options for using various methods of data analysis to solve the problems of detecting anomalies in the processes associated with the movements of moving objects. The stages of data preparation for different methods of analysis are described. Much attention is paid to the increasingly popular methods of intelligent analysis of processes. The features of the input data format for the methods of mining processes are considered, as well as the features of the assignment of attributes. The proposed data processing methods were tested on several datasets related to the movements of trucks in the distributed territory of the organization and the movements of employees in an office building

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