Available via license: CC BY 3.0
Content may be subject to copyright.
Journal of Physics: Conference Series
PAPER • OPEN ACCESS
Digital technologies in the regional management information system
To cite this article: I P Rozhnov et al 2020 J. Phys.: Conf. Ser. 1679 032004
View the article online for updates and enhancements.
This content was downloaded from IP address 158.46.160.233 on 17/12/2020 at 04:58
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution
of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Published under licence by IOP Publishing Ltd
APITECH II
Journal of Physics: Conference Series 1679 (2020) 032004
IOP Publishing
doi:10.1088/1742-6596/1679/3/032004
1
Digital technologies in the regional management information
system
I P Rozhnov1, N T Avramchikova1, O V Maslova1, E V Lapunova2 and
M A Bezrucov3
1 Reshetnev Siberian State University of Science and Technology, prosp.
Krasnoyarskiy Rabochiy 31, Krasnoyarsk 660031, Russia
2 Government of the Krasnoyarsk region, Lenin st. 123а, Krasnoyarsk, 660009, Russia
3 Shushensky Agricultural College, Agricultural College apt. 20, town. Shushenskoye,
Krasnoyarsk region, 662712, Russia
E-mail: ris2005@mail.ru
Abstract. Basic concepts of the "Regional Management Center" of the Krasnoyarsk Territory
organization, aimed at continuation of the digital transformation of the activities of the executive
authorities and local self-government bodies of the Territory with digital technologies and
platform solutions application in the spheres of public administration and public service
provision, ensuring qualitative improvement of indicators of socio-economic development of the
region, are proposed.
1. Introduction
The modern intensive development of automatic data collection technologies, transmission and storage
of information, data mining, as well as technological growth in many industries and economies have led
to the emergence of gigantic arrays of multidimensional data [1]. In connection with the accelerated data
volumes growth, the need in modern means and systems for collecting, storing and processing arrays of
data is also growing, what results in their diversity increase [2, 3]. New methods and approaches are
being constantly developed to speed up calculations, for example, with the CUDA architecture
application [4], and some other promising studies are being used [5, 6].
Systems, which conduct quantitative operational analysis, have already been integrated into the
structure of government bodies. But a high-quality analysis of a large amount of data, based on the so-
called digital traces of users, is also needed. It allows not only to identify local problems and focuses of
discontent, but also to study the preferences and motivations of the target audience, thereby providing a
differentiated approach to the provision of public services. Nowadays the need and actuality of such
systems is obvious, but they can be effectively implemented only in large and economically developed
regions [7]. At the same time, the restrictions are connected not only with the resources of the region,
but also with "political will" of the governor, as digitalization establishes an absolutely new political
culture at the administrative level. And in this case not only the readiness to launch the project, but also
the readiness to work with the negative situations is important, which will inevitably come along with
feedback.
The Krasnoyarsk Territory is a gigantic territory, but at the same time there is good Internet coverage
and many active users, therefore, operational data on the analysis of digital traces of users will contribute
APITECH II
Journal of Physics: Conference Series 1679 (2020) 032004
IOP Publishing
doi:10.1088/1742-6596/1679/3/032004
2
to making even more effective decisions to manage the territory, and, what is more important, perform
it in a timely manner.
The first such regional management center was already created in the Moscow region at the end of
2018 and is considered to be one of the best in Russia, and the experience of our colleagues in the
Moscow region will give the opportunity to solve problems, identical for all regions, using digital
technologies.
2. The purpose of the project
The project "Regional Management Center" of the Krasnoyarsk Territory (further - RMC) is aimed at
achieving national goals determined by the decrees of the President of the Russian Federation (of May
9, 2017 No. 203 and of May 7, 2018 No. 204). The RMC project causes a direct impact on the
continuation of the digital transformation of the activities of executive authorities (EA) and local self-
government bodies (LSGB) of the region by means of digital technologies application and platform
solutions in the spheres of public administration and delivery of public services [8, 9]. In this regard, the
quality of provided public services, both to the population and to small and medium-sized businesses,
including individual entrepreneurs, is being significantly improved, as well as a qualitative improvement
of indicators, reflecting the socio-economic development of the region, is ensured.
The regional RMC project realization will allow to execute the transition to electronic interaction of
citizens and organizations with the Executive power of the region.
In particular, it is expected:
• realization of the registry model, extraterritoriality and proactivity mechanism in the provision
of state and municipal electronic services;
• formation of feedback mechanisms with citizens and organizations;
• a rather high legally significant document flow in the region will become fully electronic.
Along with this, public authorities and local self-government bodies will get effective mechanisms
for automating their activities at their disposal, as well as interdepartmental information circulation.
Including:
• ensuring the provision of state and municipal services and services in digital form in accordance
with the growing needs of modern society in the context of the digital economy formation;
• ensuring digital transformation of the activities of public authorities and local governments,
aimed at improving the quality of the functions assigned to them, reducing costs of their
realization, creating a data management system, including collection, storage, processing and
data dissemination;
• operation and development of e-government infrastructure in Krasnoyarsk region.
The realization of the regional RMC project will give the opportunity to form a stable information
and communication infrastructure of state and municipal bodies, including insurance of the
uninterrupted functioning of government services, considered to be critical for citizens and
organizations, including services for remote identification, information exchange, storage of legally
significant information, a digital platform for the provision of state and municipal services (Decree of
the President of the Russian Federation of April 25, 2019 No. 193).
The modern RMC is the headquarters under the Governor (Government), which can use digital
technologies to organize quick interactive communication with the population. Residents will be able to
send a message to the authority over the network, and the resource will automatically mobilize the
responsible organizations to eliminate the problems operatively, the process can be controlled on-line.
And this is the novelty of the process, the elaboration of which was earlier carried out only in some
separate departments, for example, in the Ministry of Emergencies.
APITECH II
Journal of Physics: Conference Series 1679 (2020) 032004
IOP Publishing
doi:10.1088/1742-6596/1679/3/032004
3
The regional RMC, being created, is to become a unified digital platform for collecting and
processing data from state bodies, citizens and organizations of the Krasnoyarsk Territory. Its core will
be the Governor's Situation Center, which, in accordance with the decree of the President of the Russian
Federation, is to be created in 2020 and included in the distributed network of situational centers of the
Russian Federation.
The main basic concepts of a regional management center creation are shown in figure 1.
Figure 1. The basic elements of the concept of a regional management center creation.
3. Model of the regional RMC project
The manageability increase of the Krasnoyarsk Territory will be provided to a greater extent by priority
cross-cutting digital technologies application.
The Analytical Center under the Government of the Russian Federation conducted a survey of 79
regions of the Russian Federation on the preferences of government bodies when choosing new digital
technologies. Table 1 shows the digital technologies mostly demanded by regional authorities.
When establishing the regional management center (Krasnoyarsk Territory), the most demanded
technologies are: "Big Data", "Industrial Internet and Internet of Things", "Distributed Register
Systems".
Within this context, for creating aspects of cooperation when coordinating joint actions of different
ministries and departments of the Krasnoyarsk Territory, the most acceptable is the organizational and
functional structure of the regional management center, shown in figure 2.
Rather a wide range of regional tasks to be solved requires constant monitoring of the location of
events and availability to conduct assessment of the situation at any period of time [10, 11]. These tasks
may differ significantly in terms of duration, scope of interests, system response speed requirements,
and the degree of geodata detailing.
Any incoming information about the situation is processed by the monitoring system unit when
interacting with the monitoring database. It processes information in accordance with regulatory
documents with the help of experts, who form the conclusion of their assessment of the current situation.
This way, the result is generated and transmitted to the data analysis system block.
APITECH II
Journal of Physics: Conference Series 1679 (2020) 032004
IOP Publishing
doi:10.1088/1742-6596/1679/3/032004
4
The classification of a situation being carried out, its model is created and a similar model is searched
in the corresponding model database of the situation modeling and forecasting system block.
At the next stage, prediction of situation is done in the block of the situation forecasting system with
the description of its potential subsequent development. On the basis of the forecasts, obtained in the
block of the decision support system, the decision-making database is addressed, as well as the formation
of a possible management decision based on the work of expert analysts, options are developed which
most fully meet the task.
Table 1. Results of regional preferences survey in choosing digital technologies.
The number
of regions
which have
chosen the
technology
The name of the digital
technology, application of
which will improve the
efficiency of regional
management
Technology summary
63
Big data
(eng. big data) is a series of approaches, instruments and methods
for processing structured and unstructured data of huge volumes
and vast variety for obtaining human-perceived results effective
in conditions of continuous growth, distribution over numerous
nodes of a computer network, formed in the late 2000s, and being
alternative to traditional database management systems and
Business Intelligence solutions
50
Wireless technologies
serve for transferring information between two or more points,
located at a distance, without a wired connection (radio waves, as
well as infrared, optical or laser radiation can be used to transmit
information)
42
Industrial Internet and
Internet of Things
(English Industrial Internet of Things - IIoT) - Internet of Things
for corporate / industrial application is a system of interconnected
computer networks and connected industrial (production)
facilities with built-in sensors and software for collecting and
exchanging data, allowing remote monitoring and control in
automated mode, without participation of a man
37
Neurotechnology and
artificial intelligence
Neurotechnologies are technologies which use or help to
understand the work of the brain, mental processes, higher
nervous activity, including technologies, used to enhance,
improve brain functioning and psychological activity
Artificial intelligence is a complex of technological solutions
which imitate human cognitive functions (including self-learning
and searching solutions without a predetermined algorithm) and
allows, when performing tasks, to achieve results, which are
comparable not less than with the results of human intellectual
activity
34
Distributed Register
systems
is a group of methods aimed at creating distributed databases and
providing the consistency, synchronization, immutability and
transparency of the information stored in them.
24
Virtual and Augmented
Reality Technologies
Augmented reality is a technology of adding, introducing virtual
information into real life, into the three-dimensional field of
human perception, which is perceived as elements of real life
22
New production
technologies
created for the first time, having no domestic or foreign
analogues, with qualitatively new characteristics, which meet or
exceed the requirements of the modern level
21
Robotics and Sensing
Components
cover the areas of development of automated technical systems
and methods of their control, development of sensor systems and
methods of processing sensory information, interaction of
technical systems with each other and with a man
7
Other
—
APITECH II
Journal of Physics: Conference Series 1679 (2020) 032004
IOP Publishing
doi:10.1088/1742-6596/1679/3/032004
5
Figure 2. Organizational and functional structure of the regional management center.
The decision being worked out, the final stage is the presentation of the results to the manager in the
results visualization unit.
To ensure operative response to the situation, the following modes are to be used.
1. The normal mode of operation involves the development of scenarios of the socio-economic and
socio-political situation, meanwhile this mode is supposed to ensure the implementation of the following
tasks:
• monitoring of current events (forms and methods of transition from observation to analytical
processing of the accumulated information about the vital activity of the region are being
formed);
• identification of problematic situations, including the level of municipalities, administrative
districts;
• information and enquiry services, intended for solving a wide range of organizational, scientific
and methodological questions, criteria for industry and integral assessments.
2. The planning mode allows to identify hidden cause-and-effect relationships of socio-economic
processes, simulate the vital activity of the territory at the level of industries, individual enterprises,
predict the socio-economic development of the region.
3. The crisis mode of operation is necessary for taking decisions in difficult or emergency situations,
in particular, if:
APITECH II
Journal of Physics: Conference Series 1679 (2020) 032004
IOP Publishing
doi:10.1088/1742-6596/1679/3/032004
6
• there was a violation of normal of life conditions at the object, caused by the disaster, in this
case the main efforts will be directed at eliminating the consequences of the emergency;
• economic processes are less well managed and their changes take place at a higher speed in
comparison with daily mode, and in this case the main efforts will be directed at analyzing and
predicting the situation.
4. Conclusions
The transition to digital technologies for managing the territory and creation of models of end-to-end
("cross-functional") automated processes which ensure "seamless" interaction of units and services of
regional management entities, will allow to create mechanisms for business information cooperation
between government and business by means of implementation of services for introducing and
discussing initiatives, will help improve business climate, attracting small business investors,
developing new technologies for managing the economy by local governments, creating new measures
of institutional support, simplifying administrative and managerial procedures, increasing tax revenues
to the regional budget system. The budgetary independence increase of local self-government bodies of
the region, in its turn, will ensure the deficit-free consolidated budget of the Krasnoyarsk Territory.
References
[1] Jain A K 2010 Data clustering: 50 years beyond K-means Pattern Recognition Letters 31 651-66
[2] Rozhnov I P, Orlov V I and Kazakovtsev L A 2019 VNS-based algorithms for the centroid-based
clustering problem Facta Universitatis. Ser. Math. Inform. 34(5) 957-72
DOI.org/10.22190/FUMI1905957R
[3] Eremeev A V and Kovalenko J V 2014 Optimal recombination in genetic algorithms for
combinatorial optimization problems 1 Yugoslav Journal of Operations Research 24 1-20
DOI:10.2298/YJOR130731040E
[4] Kazakovtsev L, Rozhnov I, Popov E, Karaseva M and Stupina A Parallel implementation of the
greedy heuristic clustering algorithms IOP Conf. Series: Materials Science and Engineering
537 DOI:10.1088/1757-899X/537/2/022052
[5] Rozhnov I P, Kazakovtsev L A and Popov A M 2019 Scheme of optimal ensembles of clustering
algorithms with a combined use of the Greedy Heuristics Method and a matched binary
partitioning matrix IOP Conf. Series: Earth and Environmental Science 315
DOI:10.1088/1755-1315/315/3/032031
[6] Hansen P and Mladenovic N 2005 Variable Neighborhood Search. Search Methodology Springer
US 211-38 DOI:10.1007/0-387-28356-0_8
[7] Vasilieva Z A and Likhacheva T P 2012 Innovative Factors of Economic Growth of Territories
Krasnoyarsk: Sib. Feder. un. 108
[8] Novikova N V, Strogonova E V 2020 Regional aspects of studying the digital economy in the
system of economic growth drivers Journal of New Economy 21 76-93 DOI:10.29141/2658-
5081-2020-21-2-5
[9] Yakutin Yu V 2017 The Russian economy: a strategy for digital transformation (Constructive
criticism of the government programme “Digital economy of the Russian Federation”)
Management and Business Administration 4 27-52
[10] Avramchikova N T, Volkov D O, Rozhnov I P and Chuvashova M N 2019 Challenges for state
support of innovative developing regional machine-building enterprises IOP Conf. Series:
Materials Science and Engineering 537 DOI:10.1088/1757-899X/537/4/042066
[11] Socio-economic situation in the Krasnoyarsk territory: statistical compilations in 2016 – 2019
(Rosstat: http://www.krasstat.gks.ru)