Intelligent Power Management System of Bangladesh Using Artificial Neural Network

2016 ◽  
Author(s):  
Md Mahfuzur Rahman ◽  
Joy Shaha ◽  
Navid Hossain ◽  
Arifur Rahman Sabuj ◽  
Shuvra Saha ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Management ◽  
Management System ◽  
Power Management System ◽  
Artificial Neural ◽  
Intelligent Power Management

Expert Project Recommendation Procedure for Arizona Department of Transportation’s Pavement Management System

1997 ◽  
Vol 1592 (1) ◽  
pp. 26-34 ◽  
Author(s):  
Gerardo W. Flintsch ◽  
John P. Zaniewski
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Management System ◽  
Trigger Points ◽  
Pavement Management ◽  
Network Simulator ◽  
Pavement Management System ◽  
Remaining Service Life ◽  
Artificial Neural ◽  
Condition Indicator

The Arizona Department of Transportation (ADOT) uses a network-level pavement management system to determine budget requirements for its annual pavement preservation program. Although this is a valuable tool for preservation programming, it does not assist the engineers with the selection of projects and rehabilitation treatments. The documented research was designed to enhance the capability of ADOT’s pavement management system to include project selection. An automatic project recommendation procedure was developed and implemented in a user-friendly, modular computer program. This automatic system is expected to reduce considerably the effort required to develop the preservation programs. It should improve the consistency of the decision process. The analysis starts with a section delineation procedure that delineates uniform roadway sections. It then computes the remaining service life of each uniform section by using linear performance equations and trigger points defined for each condition indicator. An artificial neural network simulator is used to screen and recommend roadway sections for the preservation program. The trained artificial neural network prepares a list of candidate sections, using the criteria learned from past selections and the current condition of all pavement sections. This preliminary list of candidate sections is further analyzed by a project recommendation procedure. This procedure recommends a preservation treatment, assigns a priority rating to each section in the list, and sorts the projects by priority. Funding is assigned to the highest-priority sections within each roadway group until the budget recommendation provided by the network optimization process is reached.

Design of Intelligent Green Power Management System

2013 ◽  
Vol 340 ◽  
pp. 984-987
Author(s):  
Yong Sheng Du ◽  
Zhang Hong Yu ◽  
Yu Qing Jian
Keyword(s):  
Energy Consumption ◽  
Power Management ◽  
Management System ◽  
Electricity Consumption ◽  
Electrical Equipment ◽  
Control Center ◽  
Green Power ◽  
Power Management System ◽  
Intelligent Power Management ◽  
And Control

Intelligent power management system can detect and control the electricity consumption of electrical equipment of family and office automatically, to achieve the purpose of saving energy consumption. The monitoring server is the control center of the whole system,it can real-time monitor the energy consumption data of inserting the electric apparatus,and it can also control the power on and off automatically through remote operation of the client or using strategies. The monitoring server uses embedded Linux platform based on arm architecture,software development mainly uses C Language. This paper introduces the software design of monitoring server, and also in detail describes the design of the driver and communication protocol.

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