SSA-based TVOC Concentration Control Method for Storage Equipment

The collection and storage of hazardous waste (HW) represent a critical phase in the full-process management of HW, where the control of total volatile organic compound (TVOC) concentrations in storage equipment directly impacts environmental safety and personnel health. Traditional manual control of UV lamps relies on empirical judgment, often suffering from delayed response, high energy consumption, and poor stability. To enhance the safety management of HW storage equipment and achieve precise, efficient TVOC concentration control, this study proposes an intelligent control method based on a PID algorithm optimized by the Sparrow Search Algorithm (SSA). This approach dynamically adjusts UV lamp intensity in response to fluctuations in liquid waste volatilization, maintaining TVOC levels stably below the emission standard threshold of 500 ppb. Stability tests demonstrate that the SSA-optimized PID parameters exhibit rapid convergence, achieving parameter optimization for step and sinusoidal responses within 13 and 18 iterations, respectively. Experimental results on TVOC concentration control show that the proposed method stabilizes TVOC levels within the range of 216–228 ppb within 27 minutes, with minimal sensitivity to environmental variations.

Authors

Institutions

Publication Details

Journal
Academic Journal of Science and Technology
Published
2025-05-15
DOI
https://doi.org/10.54097/tdd7hq21
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SSA-based TVOC Concentration Control Method for Storage Equipment

Chenchen Liu, Jun Li, Ye Yuan
Academic Journal of Science and Technology
Advanced Manufacturing and Logistics Optimization
article

SSA-based TVOC Concentration Control Method for Storage Equipment

Chenchen Liu, Jun Li, Ye Yuan
article en

Abstract

The collection and storage of hazardous waste (HW) represent a critical phase in the full-process management of HW, where the control of total volatile organic compound (TVOC) concentrations in storage equipment directly impacts environmental safety and personnel health. Traditional manual control of UV lamps relies on empirical judgment, often suffering from delayed response, high energy consumption, and poor stability. To enhance the safety management of HW storage equipment and achieve precise, efficient TVOC concentration control, this study proposes an intelligent control method based on a PID algorithm optimized by the Sparrow Search Algorithm (SSA). This approach dynamically adjusts UV lamp intensity in response to fluctuations in liquid waste volatilization, maintaining TVOC levels stably below the emission standard threshold of 500 ppb. Stability tests demonstrate that the SSA-optimized PID parameters exhibit rapid convergence, achieving parameter optimization for step and sinusoidal responses within 13 and 18 iterations, respectively. Experimental results on TVOC concentration control show that the proposed method stabilizes TVOC levels within the range of 216–228 ppb within 27 minutes, with minimal sensitivity to environmental variations.

Academic Journal of Science and TechnologyVol. 15(2)
Sichuan University of Science and Engineering (CN)
Openalex Percentile: Top 86%
Advanced Manufacturing and Logistics Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.