COAL PREPARATION


Original paper

UDC 004.02:355.811.111.3(332.122+338.45) A.O. Rada, A.O. Akulov, O.I. Nikitina

ISSN 0041-5790 (Print) ISSN 2412-8333 (Online) Ugol  Russian Coal Journal, 2023, S12, pp. 117-123 DOI: http://dx.doi.org/10.18796/0041-5790-2023-S12-117-123

Title

DEVELOPMENT OF A WEB APPLICATION FOR MONITORING ROAD IN A RESOURCE-TYPE DIGITAL MANAGEMENT SYSTEM FOR A REGION

Authors

Rada A.O.1 , Akulov A.O.1 , Nikitina O.I.1

1 Kemerovo State University, Kemerovo, 650000, Russian Federation

Authors Information

Rada A.O., PhD (Economic), Director of the Institute of Digitalization, e-mail: rada.ao@kemsu.ru

Akulov A.O., PhD (Economic), Associate Professor of the Department of Management named in honor I.P. Povarich, e-mail: akuanatolij@yandex.ru

Nikitina O.I., Head of the Analytics Department of the Institute of Digitalization, e-mail: o.nikitina@i-digit.ru

Abstract

The purpose of the study is to develop and test a web application for monitoring roads, integrated with the digital control system of the Kemerovo region  Kuzbass. Classic client-server architecture was used; focus groups with customers and an analysis of the regulatory framework were conducted to determine the functionality and composition of information. Prototyping, layout, testing of the application Management system for monitoring the condition of regional and municipal roads was carried out. The main page includes an analytical panel and a registry of roads with a search for a large number of parameters. An information card has been created for each road, containing general information, data on the condition of the roadway, technical documentation on the road, technical diagnostic results, road maps, and three-dimensional models. The application makes it possible to monitor and control roads at minimal cost and obtain information for making management decisions (for example, on repairs).

Keywords

Highways, Digital technologies, Public safety, Resource-type region, Software, Road condition, Digital management of the region, Decision-making technologies, Transportation of products.

References

1. Percoco M. Highways, local economic structure and urban development. Journal of Economic Geography, 2016, 16(5), pp. 1035-1054. DOI: 10.1093/ jeg/lbv031.

2. Transport and operational condition of public roads of federal significance [Electronic resource]. Available at: https://rosavtodor.gov.ru/ opendata/7717509757-tesad/view (accessed 15.11.2023). (In Russ.).

3. Koteleva N., Khokhlov S. & Frenkel I. Digitalization in open-pit mining: a new approach in monitoring and control of rock fragmentation. Applied Sciences, 2021, 11(22), Article ID 10848. DOI: 10.3390/app112210848.

4. Jabir B., Rabhi L., Falih N. RNN and CNN-based weed detection for crop improvement: an overview. Foods and Raw Materials, 2021, 9(2), pp. 387-396. DOI: 10.21603/2308-4057-2021-2-387-396.

5. Chen X., Kurdve M., Johansson B. & Despeisse M. Enabling the twin transitions: digital technologies support environmental sustainability through lean principles. Sustainable Production and Consumption, 2023, 38, pp. 13-27. DOI: 10.1016/j.spc.2023.03.020.

6. Molyarenko O.A. Ownerless roads in Russia. EKO, 2017, 47(4), pp. 88-109. (In Russ.).

7. Karballaeezadeh N., Zaremotekhases F., Shamshirband S., Mosavi A., Na? bipour N., Csiba P. & Varkonyi-Koczy A.R. Intelligent road inspection with advanced machine learning; hybrid prediction models for smart mobility and transportation maintenance systems. Energies, 2020, 13(7), Article ID 1718. DOI: 10.3390/en13071718.

8. Ma Y., Wang M., Feng Q., He Z. & Tian M. Current non-contact road surface condition detection schemes and technical challenges. Sensors, 2022, 22(24), Article ID 9583. DOI: 10.3390/s22249583.

9. Ranyal E., Sadhu A. & Jain K. Road condition monitoring using smart sensing and artificial intelligence: a review. Sensors, 2022, (22)8, Article ID 3044. DOI: 10.3390/s22083044.

10. Micko K., Papcun P. & Zolotova I. Review of IoT sensor systems used for monitoring the road infrastructure. Sensors, 2023, 23(9), Article ID 4469. DOI: 10.3390/s23094469.

11. Kataev M.Y., Kartashov E.Y. & Avdeenko V.D. Method for detecting road defects using images obtained from unmanned aerial vehicles. Kompyuternaya optika, 2023, 47(3), pp. 464473. (In Russ.). DOI: 10.18287/2412-6179-CO-1209.

12. IndorRoad. Operation of highways. Available at: https://www.indorsoft. ru/products/road/ (accessed 15.11.2023). (In Russ.).

Acknowledgments

The research is conducted as part of the comprehensive scientific and technical program of a complete innovative cycle Development and implementation of a complex of technologies in the fields of exploration and extraction of minerals, ensuring of industrial safety, bioremediation, creation of new prod? ucts of deep processing of coal raw materials with consecutive amelioration of ecological impact on the environment and risks to human life, approved by the Decree of the Government of the Russian Federation from 11.05.2022 No 1144-r., agreement No 075-152022-1195 dated September 30, 2022.

For citation

Rada A.O., Akulov A.O. & Nikitina O.I. Development of a web application for monitoring roads in a resource-type digital management system for a region. Ugol, 2023, (S12), pp. 117-123. (In Russ.). DOI: 10.18796/0041-5790-2023- S12-117-123.

Paper info

Received November 1, 2023

Reviewed November 15, 2023

Accepted November 26, 2023