Proceedings of 6th International Conference of Young Scientists on "Solutions of Applied Problems in Control and Communications, Data Processing and Data Analysis", Koethen, Grerma...

124 Pages·2016·5.84 MB·English

Perm National Research Polytechnic University
(Perm, Russia)
Anhalt University of Applied Sciences
(Koethen, Germany)

PROCEEDINGS OF 6TH INTERNATIONAL CONFERENCE
OF YOUNG SCIENTISTS ON SOLUTIONS OF APPLIED
PROBLEMS IN CONTROL AND COMMUNICATIONS,
DATA PROCESSING AND DATA ANALYSIS

(March 19, 2015 Koethen, Germany)

Perm National Research Polytechnic
University Publishing house
2015
УДК 004.9
ББК 32.81
In this volume, the works of young scientists, graduate students as well as the
best students' reports at the conference are collected.
The conference was devoted to the systems research and simulation, infor-
mation-measuring and control systems, telecommunications and energy saving,
information technology and automation tools, hardware and software of infor-
mation management systems.
Published research results can be useful interest for young researchers, edu-
cators and professionals who are interested in theoretical and applied investiga-
tions.
Editorial board:
Prof., Dr. Ursula Fissgus, Anhalt University of Applied Sciences;
Dr. Bernd Krause, Anhalt University of Applied Sciences;
Prof., Dr. Alexander Kostygov, Perm National Research Polytechnic University;
Prof., Dr. Anton Petrochenkov, Perm National Research Polytechnic University;
Assoc. Prof., Dr. Leonid Mylnikov, Perm National Research Polytechnic
University
Reviewer:
Alikin Vladimir Nikolaevich – Doctor of Technical Sciences, Professor, Chief
Science Officer Nord-West-Service Ltd

ISBN 978-5-398-01430-3 (cid:211) PNRPU, 2015
SOFTWARE AND HARDWARE SOLUTION FOR ENERGY
MONITORING SYSTEM WITH GIS TECHNOLOGY
Sergey ARTEMOV1, Alexei KYCHKIN2
Perm National Research Polytechnic University, Perm, Russia
(1e-mail: [email protected], 2e-mail: [email protected])
Abstract. In market competition, reducing the production cost in any enter-
prise is one of the main tasks. In many countries take effect various types of leg-
islative acts regulating the savings rate enterprise resources. In the world have
developed a energy savings system for various kinds of objects such systems
are called energy monitoring systems (EMS). For stationary objects it systems
are widely used in practice. For moving objects functions EMS limited to the col-
lection of information and reporting documentation that fully cannot solve the
problem of saving resources. We offer our solution of hardware and software for
EMS using GIS technology for mobile objects. This system includes solutions at
every level of implementation. This solution can also be applied to various types
of objects where necessary to collect information based on the GIS for example
distributed systems, various types of transport and others.
Keywords: energy monitoring; energy monitoring system; targets for ener-
gy consumption; mobile platform; transport; GIS.
Introduction
The problem of save resources today is particularly acute. For small
countries where resources are limited conservation and recycling are two
principles of human life. In enterprises resource saving leads primarily to
reduce product cost this is achieved by the use optimization techniques of
resource allocation and control their consumption. Today all these process-
es are automated these systems are called energy monitoring systems
(EMS). EMS successfully used for stationary objects where at the bottom
level removed main indicators consumption and at the top level provides
complete information for decision-making on resource savings. One of the
most powerful consumers in economic sectors is transportation today for
transport similar systems are at the stage of design and testing. In this arti-
cle will be offered one possible implementation concepts EMS software
and hardware solution for moving object using GIS technology.
1. Aims and objectives
Our objectives include developing EMS on all layer, data processing
and data analyzing, visual representation of consumption data. For this our
tasks include develop architecture EMS, create experimental model EMS,
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collect and analyzing data from our model EMS, calculation of energy
efficiency indicators, showing geospatial data and develop hardware solu-
tion prototype for applying in our EMS.
2. Architecture EMS
To solve this problem offered architecture EMS (Fig. 1). Here, at the
bottom level is a controller that collects data from sensors and meters after
collection data controller performs preprocessing and filtering data, the da-
ta is stored on the memory card and prepared for transmission over a wire-
less network, for example GSM/GPRS technology and others. Method col-
lection data and software and hardware type varied from object type. For
use GIS technology in this solution include GPS module that allow collect
geospatial data, for example coordinate, speed, height and others.
On the top level has a hardware and software complex that allows fur-
ther work with the data. The software has a modular structure.

Fig. 1. EMS architecture
Software for EMS consists of the following main elements:
1) Data base (DBMS) unit – designed to store data coming from
data object;
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2) Data collection unit – data collection unit is designed for remote en-
ergy monitoring survey of objects according to the protocol and schedule
polling and transmitting information in databases;
3) Configuration unit – used to configure databases, creation of entities
and attributes, parameter assignment and objects properties;
4) Calculator unit – for pre or post-processing, where according to
mathematical description of perform all calculations indicators energy
monitoring;
5) Charts unit – designed for visual display using graphs and charts
with filtering data on grounds;
6) Map (GIS) unit – module is designed for showing on the map con-
sumption data with reference to the coordinates of the object and display
the traffic object movement;
7) Report unit – designed for automatic reporting for example daily or
monthly.
3. Collect, analyzing and process data
Data collection, analysis and data processing is stage the most difficult
in the subject and for each object it is an original, in this paper given gen-
eral approach at this stage.
Data collection is one of the important stages of energy monitoring.
Here, for each object necessary to define a number of parameters and val-
ues which will depend on quality data analysis and processing. By selec-
tion of these parameters provides the most significant of input values
(which depends largely on the power consumption of the object), data col-
lection frequency (how often to collect data from sensors and counters and
how much data per day).
After collect data, raw data save to data base on server. Following in-
put data is analyzed.
The main tasks of data analysis include:
1) Filtering incoming data from meters and sensors;
2) Calculation of real object consumption;
3) Correlation analysis between normalizing rates of consumption and real;
4) Calculating deviations of actual and normalized consumption
indicators;
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5) Long-term data storage to calculate normalizing and targets
indicators.
Information is a set of statistics based on which it is possible to identi-
fy object consumption indicators.
For a moving object indicators include [1]:
1) ρ – specific energy consumption per kilometer:
ρ ;
(cid:2) (cid:6)(cid:7)
2) η – cycle efficiency of ob=je(cid:3)ct :(cid:5) (cid:6)(cid:8)(cid:9)
ес
.
η ;
(cid:7)(cid:13)(cid:14)(cid:14)(cid:13)(cid:15)(cid:16)(cid:17)(cid:18)(cid:13)
(cid:11).(cid:12) = (cid:7)(cid:15)(cid:19)(cid:15)(cid:20)(cid:13) ∙100 [%]
3) К – coefficient use object:
с
(cid:27)
К ,
с (cid:7)(cid:28)
(cid:7) = (cid:7)(cid:29)
where – real energy consumption; –
rated consumption;
(cid:30)(cid:31) [kW⁄h] (cid:30)$ = ∑& ∙’(cid:12) [kW⁄h]
4) – reserve reducing energy consumption
∆(cid:30))*+

(cid:30)(cid:31) −(cid:30)$-)(cid:8)
∆(cid:30))*+ = ∙100 [%],
Data processing step is the st(cid:30)ati(cid:31)stical analysis. Using modeling tools
necessary to implement mobile object model and by setting external factors
such as weather conditions or travel route to predict the behavior of the
system under these conditions and thus achieving the most suitable condi-
tions for saving resources. This principle necessary to apply for behavior
model of the driver vehicle based on calculations use the most energy-
efficient driver actions [2].
The task search for a solution consists of stages:
1) data collection;
2) filtering data;
3) choice of algorithm analysis;
4) choice of parameters and the training algorithm model;
5) training of the chosen model;
6) сheck the trained model;
7) results analysis.
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Implementation of these models should be carried out in mathematical
software products and calculated only once for each object using the
knowledge gained in the following facility operation.
Thus, using this approach, you can get a clear picture of the object
consumption and to predict its behavior of under given conditions at
a minimal cost for the data collection implementation.
4. Using OpenJEVis for EMS solution
Similar modular structure has open source software system OpenJEVis
[3]. As can be seen from (Fig. 2) OpenJEVis composed of blocks to work
with the client DB management unit and data processing unit and data ac-
quisition unit. Due to flexibility of this software configuration can be
achieved a complete and effective construction a top-level EMS [4].

Fig. 2. OpenJEVis structure
EMS includes a movable object whose behavior is described using
geodata obtained by GPS/GLONASS systems [5]. Next step of our re-
search is writing of program module for OpenJEVis which would allow
necessary processing and displaying data on map.
JGIS positioned as a module for the open source project OpenJEVis.
This program (Fig. 3) is written in JavaFX package NetBeans, it in-
cludes a library with Google map api – GmapsFX, which allows use al-
most all api functions. In the program used filtering data in a table and re-
alized sorting data on any grounds. For convenience of viewing data used
library JFreeChart, which allows to display a temperature graph.
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Using CSV export file, we derived data from the table to the map (Fig. 4)
and show temperature graph.

Fig. 3. JGIS program

Fig. 4. Show in JGIS program
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5. Data collection controller
As a technical support in this solution there are many variants imple-
mentation. We offer a solution Envidatec company – VIDA44M controller
and VIDA350 (Fig. 5).

Fig. 5. VIDA44M and VIDA350 controllers

Fig. 6. Data collection systemу based on the controller VIDA44M
These controllers have the following characteristics:
1) RS485, RS232;
2) SC-Card;
3) GSM/GPRS modem (SMS, internet, voise);
4) 1-Wire interface;
5) 4 analog input 0..10 V;
6) 8 discrete in/out;
7) CAN bus;
8) Mobdus RTU;
9) LCD display;
10) Free software (IDE RCTU).
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For example, based on controllers Envidatec company system built
low-level EMS (Fig. 6). This system includes two major digital RS485 and
1-wire bus. To RS485 bus connected converters voltage and current as well
as pulse counter. To 1-wire bus connect temperature sensor. Due to the
versatility bus can achieve connectivity almost all kinds of sensors and
counter to the controller [6].
Using proposed solution will give a full assessment of the EMS object
energy monitoring as well as provide for management personnel infor-
mation necessary for the development of ways to save resources and give
a vivid picture of consumption depending on geospatial data.
References
1. Fundamentals of the target energy monitoring: Manual for the
course. – M.: Enizan, 1997. – 39 p.
2. Kychkin A.V., Khoroshev N.I., Eltyshev D.K. The concept of an au-
tomated information system to support energy management // Energy secu-
rity and energy saving. – 2013. – № 5. – P. 12–17.
3. OpenJEVis – The Open Data Monitoring and Storage Solution. –
URL: www.OpenJEVis.org (accessed: 03.03.2015).
4. Kychkin A.V. Long-term energy monitoring based on software plat-
form OpenJEVis // Bulletin of PNRPU. Electrotechnics, information tech-
nologies, control systems. – 2014. – №. 9. – Р. 5–15.
5. Kostygov A.M., Kychkin A.V. Structuring Remote Monitoring
group of intelligent mobile platforms in real time // Sensors and Systems. –
2013. – № 9. – P. 65–69.
6. Kichkin A.V. The model structure synthesis automated system for
collecting and processing data on the use of wireless sensors // Automation
and modern technology. – 2009. – № 1. – Р. 15–20.

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