INFORMATION SUPPORT IN ENVIRONMENTAL PROTECTION TECHNOLOGIES
DOI:
https://doi.org/10.34185/1991-7848.itmm.2025.01.109Keywords:
information support, resource-efficient production, resource conservation, forecasting, designAbstract
In the modern industrial environment, information systems play a key role in ensuring the rational use of resources. They contribute to the automation of management processes, real-time monitoring and deep data analysis, which allows enterprises to manage energy, water and raw materials more efficiently. This reduces costs, improves production processes, reduces waste, and increases product quality and overall productivity. In addition to economic benefits, such systems help reduce environmental damage, supporting the principles of sustainable development. At the same time, the implementation of information solutions requires significant financial resources, competent integration with existing technological platforms and an appropriate level of staff training. To achieve effectiveness, comprehensive strategic planning, active participation of management and a gradual transformation of corporate culture are necessary.
References
Kolawole, O.M., Otiko, A.O., Akpotuzor, S.A. & Abdulsalam, N. (2025). IoT-Enabled Energy Management Monitoring System for Sustainable Resource Optimization. British Journal of Computer, Networking and Information Technology, 8(1), 1–14. https://doi.org/10.52589/bjcnit-kj95augm
Abbas, S., Khan, M.A., Falcon-Morales, L.I., Rehman, A., Saeed, Y. & Zareei, M. (2020). Modeling, Simulation and Optimization of Power Plant Energy Sustainability for IoT Enabled Smart Cities Empowered With Deep Extreme Learning Machine, IEEE Access, 8, 39982–39997. doi: 10.1109/ACCESS.2020.2976452
Khan, M.I., Yasmeen, T., Khan, M., Hadi, N., Ul, Asif, M., Farooq, M. & Al-Ghamdi, S. G. (2025). Integrating industry 4.0 for enhanced sustainability: Pathways and prospects, Sustainable Production and Consumption, 54, 149–189.
https://doi.org/10.1016/j.spc.2024.12.012
Aljohani, A.(2024). Deep learning-based optimization of energy utilization in IoT-enabled smart cities: A pathway to sustainable development, Energy Reports, 12, 2946–2957, https://doi.org/10.1016/j.egyr.2024.08.075