8/4/2019 Jie Yang Faculty Day Poster

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Energy Monitoring & Management SystemMr. Jie Yang

Supervisor: Dr. Stephen Daniels

The Energy Monitoring & Management System (EMMS) focuses on Energy Optimization which is a crucial research area and plays a significant role for the future, mainly due to limited

global energy resources. Data management is the basis of many applications and services, such as visualization and analysis, and is essential for energy efficiency engineering. All of these are

used to achieve one aim, to reduce energy consumption.

Intel Ireland is sponsoring this project and is providing real-time data acquired from its equipment. The EMMS will monitor the equipment in order to maximize efficiency.

Acknowledge: This work is funded by IRCSET and Intel Ireland.

Introduction

Design of the EMMS is based on an

IT architecture shown in figure 1.

The EMMS is divided into seven

levels from the network to services

level and each level provides

customers with specific functions.

Components at the higher level

use interfaces provided by lower

levels to get necessary resources

for their own processes.

This hierarchical structure will

maximize code reusability and willbe easier to maintain and upgrade,

because each level can be

operated independently.

Information Provider

Security

Network

website Desktop Mobile

Software Hardware

DBFiles

ResourceComponents

Data

Applications

Visualization Calendar File

Management

InformerData

AnalysisServices

In this version, two steps are necessary to create a chart, such as illustrated in figure

3; There are three main components in a chart: a statistic table, monitor panel and

range selector. Users can choose a specific sub-set in the range selector, then the

monitor panel provides detail and operations on this sub-set. Additionally, some

analytical results are presented in the statistic table which are also based on the

same sub-set.

Desktop Version

VisualisationIT Architecture

Website Version

This version is used with web browsers.

Customisation is maximized, in that, size,

position and layout of the chart can be modified

by users at any time. Additionally, compared

with the desktop version, it does not need to be

installed, but the volume of data processing is

limited by browsers.

Data backup is fundamental to data management, providing users with guaranteed data safety. In most energy systems, a huge

amount of data is necessary. Normally, a server holding data will also handle query requests from users. Additionally, it would

be better to stop handling customer requests to facilitate a complete backup. In such a case, database services will cease when

the backup is in progress and it would reduce the efficiency of the database. Therefore, in order to solve this problem, twoservers are used, Master and Slave. A software application is implemented based on the replication mechanism of MySQL.

Email user with backup result

Step 2. Backup data

and compress.

Step3. Email users about result of backup.Step 1. Choose data and backup period.

Database Backup

MASTER

SLAVE

request

response

write

read

request

time up?

stop server

backup

restart server

yes

SLAVE

read log

update database

MySQL Replication Service no

read

MySQL Replication

MASTER: run without stopping, handle requests from users;

SLAVE: be synchronous with Master data, can stop for backup,

then catch up with Master after restart.

Statistic

Table

MonitorPanel

Step 1. Choose data Step 2. Operate on chart

Range

Selector

Mathematical Analysis will be used to reduce the

complexity of the data. In figure 5, two differentdata sets have similar visual representations which,

indicates a strong correlation. After removing this

redundant data, a more efficient system will be

realised with the following benefits:

Lower Storage Requirements;

Faster Transmission;

Lower Resource Requirements for Processing.

Further Work

Additionally, All components in the EMMS will berealised to provide an integrated and flexible IT

system for energy data management.

LOG

Demo (ISAM Backup 1.0)

Figure 1. IT Architecture

Figure 3. Desktop Application for Visualisation

Figure 4. Website for Visualisation

This belongs to the service level. It generates an interactive chart to help users toobserve and analyze data. Next, two approaches are implemented: a desktopapplication and a web interface.

Figure 2. Mechanism and Demo for Database Backup

Figure 5. Data Complexity Sample