Integration of intelligent control in drying systems: process optimization through sensors, artificial intelligence, and modular drying

Yangiboyeva , Raxbaroy

Innovation science and technologiy · 2025-yil

Annotatsiya

The article analyzes the integration of intelligent control systems—based on sensors, artificial intelligence,hybrid, and modular approaches—into industrial drying technologies. Traditional drying equipment typically operatesaccording to predefined parameters such as temperature, airflow, and time, which often fail to deliver optimal resultsunder varying conditions, raw material properties, and external factors. Therefore, the paper explores modern approachesincluding neural networks, neuro-fuzzy regulators, model-based control, data fusion, multimodal monitoring (hyperspectralimaging, computer vision), and cloud-based management systems.The analysis shows that intelligent control-based drying systems can reduce energy consumption by up to 10–15%,shorten drying time, maintain consistent product moisture and quality, and significantly minimize operator errors. Moreover,modular and multi-agent architectures improve adaptability for various raw materials, while cloud monitoring enablesremote control and large-scale data analysis. Integration with environmental monitoring raises drying technologies to anew level of energy efficiency and ecological safety.

Maqola ma’lumotlari
MualliflarYangiboyeva , Raxbaroy
JurnalInnovation science and technologiy
NashriyotТошкент давлат иқтисодиёт университети
Nashr sanasi2025-12-01
Jild1
Son12
TilIngliz
Ilmiy sohaTexnika
DOI10.5281/zenodo.17941461
Indeksga qo‘shilgan2026-08-26

DOI: 10.5281/zenodo.17941461 · Maqolaning asl sahifasi

Kalit so‘zlar

Intelligent control systems, drying process optimization, artificial intelligence, sensor technologies, neural networks and fuzzy logic, hybrid control models, modular drying systems, cloud-based control, multimodal monitoring (data fusion), ecological monitoring and energy efficiency

Ilmiy soha

Texnika

Iqtibos keltirish

APAYangiboyeva , Raxbaroy (2025). INTEGRATION OF INTELLIGENT CONTROL IN DRYING SYSTEMS: PROCESS OPTIMIZATION THROUGH SENSORS, ARTIFICIAL INTELLIGENCE, AND MODULAR DRYING. Innovation science and technologiy, 1(12). https://doi.org/10.5281/zenodo.17941461
GOST (OAK)Yangiboyeva , Raxbaroy INTEGRATION OF INTELLIGENT CONTROL IN DRYING SYSTEMS: PROCESS OPTIMIZATION THROUGH SENSORS, ARTIFICIAL INTELLIGENCE, AND MODULAR DRYING // Innovation science and technologiy. – 2025. – T. 1, № 12. – DOI: 10.5281/zenodo.17941461.
MLAYangiboyeva , Raxbaroy. “INTEGRATION OF INTELLIGENT CONTROL IN DRYING SYSTEMS: PROCESS OPTIMIZATION THROUGH SENSORS, ARTIFICIAL INTELLIGENCE, AND MODULAR DRYING.” Innovation science and technologiy, 1(12), 2025. https://doi.org/10.5281/zenodo.17941461
ChicagoYangiboyeva , Raxbaroy. “INTEGRATION OF INTELLIGENT CONTROL IN DRYING SYSTEMS: PROCESS OPTIMIZATION THROUGH SENSORS, ARTIFICIAL INTELLIGENCE, AND MODULAR DRYING.” Innovation science and technologiy, 1(12) (2025). https://doi.org/10.5281/zenodo.17941461
HarvardYangiboyeva , Raxbaroy (2025) ‘INTEGRATION OF INTELLIGENT CONTROL IN DRYING SYSTEMS: PROCESS OPTIMIZATION THROUGH SENSORS, ARTIFICIAL INTELLIGENCE, AND MODULAR DRYING’, Innovation science and technologiy, 1(12). https://doi.org/10.5281/zenodo.17941461
BibTeX
@article{yangiboyevaraxbaroy2025,
  title = {INTEGRATION OF INTELLIGENT CONTROL IN DRYING SYSTEMS: PROCESS OPTIMIZATION THROUGH SENSORS, ARTIFICIAL INTELLIGENCE, AND MODULAR DRYING},
  author = {Yangiboyeva , Raxbaroy},
  journal = {Innovation science and technologiy},
  year = {2025},
  volume = {1},
  number = {12},
  doi = {10.5281/zenodo.17941461},
  url = {https://doi.org/10.5281/zenodo.17941461}
}

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