scholarly journals Variation of the entropy analysis method in information flows of IBS in the concept of safe navigation development

2021 ◽  
Vol 2061 (1) ◽  
pp. 012107
Author(s):  
AA Vasiutina ◽  
VV Popov ◽  
AI Kondratyev
Keyword(s):  
Intelligent Control ◽  
Integrated System ◽  
Analysis Method ◽  
Artificial Neuron ◽  
Object Control ◽  
Safe Navigation ◽  
Management Personnel ◽  
Directional Control ◽  
Entropy Capacity ◽  
Control Machine

Abstract The creation of a configuration by a bridge integrated system in the form of the control machine variation - artificial intelligence, becomes relevant in the concept of E-navigation development with the vector of the vessel’s directional control on the course, both in a small crew and unmanned way. It is possible to consider a large number of mathematical ideas about the basis for creating an intelligent control machine: an artificial neuron and fuzzy sets, Petri nets and Markov chains, Kolmogorov’s differential equations, which are difficult to configure and cumbersome to compute. Multiagent systems seem to be feasible. Integrated bridge systems with embedded supplementary reality assist management personnel in solving navigation issues. Saturation of the navigation control information complex of the bridge system with an increasing number of hardware and instrument units leads to a decrease in information entropy but does not bring to the full automatic control. In ergatic systems, object control is still reduced to declining the uncertainty to a minimum value by means of the operator’s control actions. The methodology for analyzing the entropy capacity of the system and elements of the augmented virtual assessment of the situation in the configuration of multifunctional machine units can be applied in the efficiency criteria development for vessel’s control systems with small crew or unmanned navigation in the concept of E-navigation.

Intelligent Control of Compact Multiphase Separation System (CMSS©)—Part I: Modeling and Simulation

2009 ◽  
Author(s):  
V. Sampath ◽  
R. Mohan ◽  
S. Wang ◽  
L. Gomez ◽  
O. Shoham ◽  
...  
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Intelligent Control ◽  
Dynamic Models ◽  
Free Water ◽  
Integrated System ◽  
Separation System ◽  
Matlab Simulink ◽  
Knock Out ◽  
Cylindrical Cyclone

Performance of compact separators depends on implementation of stable and robust control strategies that are suited for specific applications. In this investigation, an intelligent control system has been developed for Compact Multiphase Separation System (CMSS©) which consists of integrated configurations of three compact separators, namely, Gas-Liquid Cylindrical Cyclone (GLCC©), Liquid-Liquid Cylindrical Cyclone (LLCC©) and Liquid-Liquid Hydrocyclone (LLHC). This is a two-part paper, the first part (current paper) deals with the Modeling and Simulation of the CMSS© and the second part deals with Experimental Investigation. The specific objective of this CMSS© configuration is to knock out free water from the upstream fluids. In mature oil fields, water handling poses a huge problem. Thus water knock out at the earliest stage helps in significant cost savings. A novel fuzzy logic control system has been designed and tested for change in set-point of differential pressure ratio in LLHC. Dynamic models have been developed for each of the above mentioned control systems for design of stable PID parameters. A dynamic simulation platform (DSP) has been developed based on these models in Matlab/Simulink™ for predicting the transient performance of the integrated system. Steady state mechanistic models of individual devices are integrated to the Matlab/Simulink™ platform using look up tables to predict the overall response of the CMSS© for different scenarios.

scholarly journals A FAST assembly simulation analysis method for hull blocks with engineering constraints

2021 ◽  
pp. 1-24
Author(s):  
Guan Guan ◽  
Hongling Liao ◽  
Qu Yang
Keyword(s):  
Simulation Analysis ◽  
Integrated System ◽  
Analysis Method ◽  
Matching Model ◽  
Analytic Hierarchy ◽  
Assembly Simulation ◽  
Optimization Function ◽  
Coherent Point Drift ◽  
Assembly Constraints ◽  
Engineering Constraints

In order to effectively improve the assembly efficiency for hull blocks, an assembly simulation analysis method considering engineering constraints is proposed in this paper, and an integrated system of shipbuilding accuracy analysis and assembly analysis considering multi-constraints is developed. The method is divided into pre-matching model and fine matching model. In the pre-matching model, an Improved Coherent Point Drift (ICPD) algorithm is used to obtain more accurate initial matching values. The fine matching model firstly uses the Analytic Hierarchy Process (AHP) algorithm to automatically obtain the constrained weights, then the weights vector is used to add the assembly constraints for hull blocks such as straightness, hard point constraints etc. into the multi-objective optimization function. By solving the function, the optimum positioning location and the most reasonable adjustment scheme are obtained. This method shortens the occupancy time of the equipment used to build the hull, reduces the workload of the staff, and improves the efficiency and quality of shipbuilding. The integrated system adds engineering constraints analysis module and the function of automatically finding and eliminating error measurement points. Through the verification of the examples, the integrated system realizes the automation and intellectualization of the assembly for hull blocks.

scholarly journals Chemical Plant Explosion Accident (Cause) Analysis Using AcciMap and FRAM

2021 ◽  
Vol 35 (5) ◽  
pp. 59-65
Author(s):  
Chae-Chil Koo ◽  
Dong-Hyun Seo ◽  
Tae-Ho Kim
Keyword(s):  
System Analysis ◽  
Integrated System ◽  
Integrated Analysis ◽  
Chemical Plants ◽  
Analysis Method ◽  
Sequential Approach ◽  
Systematic Analysis ◽  
Analysis Techniques ◽  
Root Cause ◽  
Number Of Factors

To prevent accidents in chemical plants, it is important to identify the root cause of the accident and suggest countermeasures. When accident factors are known, eliminating the cause of the accident can increase its prevention. The number of factors, including social factors, in addition to human factors, is increasing. When analyzing the cause of an accident when it is complex, advanced, and the connection between processes is high, there is a growing need to approach it with an integrated system analysis method related to the organization, along with a sequential approach to determine the direct cause of the accident. Several countries have introduced and applied techniques for integrated analysis of accidents from a systematic viewpoint, such as AcciMap and the functional resonance accident model (FRAM) that were developed around 2000. However, it remains difficult to find cases or research results applied in Korea. In this study, accidents in Korean chemical factories are analyzed using systematic accident analysis techniques, and a plan to utilize systematic analysis techniques for future accident investigations is developed.

Research on Intelligent Control Integrated System of Water Treatment

2014 ◽  
Vol 644-650 ◽  
pp. 563-566
Author(s):  
Li Zhou ◽  
Bao Kai Zhu ◽  
Xiong Sheng Lin
Keyword(s):  
Water Treatment ◽  
Control Systems ◽  
Intelligent Control ◽  
Sewage Treatment ◽  
Integrated System ◽  
Systematic Research ◽  
Domestic Water ◽  
Water Treatment System ◽  
Intelligent Control Systems ◽  
The Status

This article analyzes, discusses the status of domestic water treatment and water treatment intelligent control systems, intelligent control of the water treatment system is deeply integrated, systematic research, the system successfully for a city sewage treatment.

Mechanics and Pretreatment Research of Vibration Signals for the Numerical Control Machine

2013 ◽  
Vol 676 ◽  
pp. 162-165
Author(s):  
Er Bao Peng ◽  
Hong Ge Zhang ◽  
Hong Ying Wang
Keyword(s):  
Function Analysis ◽  
Time Domain Analysis ◽  
Analysis Data ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Numerical Control ◽  
Analysis Method ◽  
Vibration Signals ◽  
The Time Domain ◽  
Control Machine

To study vibration signals processing mechanics and the analysis method of the numerical control machine. vibration signals analysis method include time and frequent domain analysis: the time domain analysis mainly has the statistical analysis and the correlation function analysis. frequency domain analysis include spectral analysis, cepstrum analysis, data envelopment analysis. vibration signals pretreatment is the most commonly used and effective method on the mechanical device condition monitor and the failure diagnosis.

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