Research and application of whole-process management and intelligent monitoring system for VOCs emissions in rubber paste preparation workshops

LI Peixian; DANG Xiaoqing; ZHAI Chen; HAN Wei; LAI Zhiqiang; LI Zhaoyang; QU Jiaxin; WANG He; ZHENG Huachun

doi:10.13205/j.hjgc.202606002

Volume 44 Issue 6

Jun. 2026

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2026 > 44(6): 10-19

LI Peixian, DANG Xiaoqing, ZHAI Chen, HAN Wei, LAI Zhiqiang, LI Zhaoyang, QU Jiaxin, WANG He, ZHENG Huachun. Research and application of whole-process management and intelligent monitoring system for VOCs emissions in rubber paste preparation workshops[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(6): 10-19. doi: 10.13205/j.hjgc.202606002

Citation:

LI Peixian, DANG Xiaoqing, ZHAI Chen, HAN Wei, LAI Zhiqiang, LI Zhaoyang, QU Jiaxin, WANG He, ZHENG Huachun. Research and application of whole-process management and intelligent monitoring system for VOCs emissions in rubber paste preparation workshops[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(6): 10-19. doi: 10.13205/j.hjgc.202606002

Citation:

LI Peixian, DANG Xiaoqing, ZHAI Chen, HAN Wei, LAI Zhiqiang, LI Zhaoyang, QU Jiaxin, WANG He, ZHENG Huachun. Research and application of whole-process management and intelligent monitoring system for VOCs emissions in rubber paste preparation workshops[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(6): 10-19. doi: 10.13205/j.hjgc.202606002

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Research and application of whole-process management and intelligent monitoring system for VOCs emissions in rubber paste preparation workshops

doi: 10.13205/j.hjgc.202606002

1. Shaanxi Key Laboratory of Environmental Engineering, Environmental and Municipal Engineering Department, Xi'an University of Architecture and Technology, Xi'an 710055, China;
2. China Qiyuan Engineering Design & Research Institute Company, Xi'an 710018, China;
3. Shaanxi Yanchang Petroleum Group Rubber Company, Xianyang 712000, China;
4. China Heavy Machinery Research Institute Co., Ltd., Xi'an 710018, China

Received Date: 2025-08-13
Accepted Date: 2025-09-08
Rev Recd Date: 2025-09-01

Available Online: 2026-07-06

Abstract

Abstract

Efficient reduction of industrial volatile organic compounds （VOCs） emissions is a key path to improving regional air quality. Taking the rubber paste preparation workshop， a typical process unit in the rubber industry， as the research object， this study designed and developed an intelligent monitoring system integrating software engineering and Internet of Things （IoT） technology. The core technical architecture of the system integrates a hybrid database storage solution， low-power wide-area IoT communication technology， a role-based access control model， and a containerized microservice architecture， effectively solving the problems of heterogeneous data fusion difficulties and insufficient scalability in traditional industrial monitoring systems. The system was deployed in a large rubber enterprise. By establishing a dynamic data list covering the whole process of VOCs exhaust gas collection-purification treatment-end-of-line emission， real-time perception and data fusion analysis of the operation status of the adsorption/desorption centrifugal fan were achieved. Under typical working conditions， the volume flow rate of the extraction system was 40000 m³/h， and that of the ventilation system was 30000 m³/h， forming a continuous micro-negative pressure environment that effectively suppressed unorganized emissions. The workshop purification process effectively reduced the concentration of non-methane hydrocarbon emissions to less than 10 mg/m³， which met the emission control standards. The system innovatively coupled the permission management module with the enterprise organizational structure to achieve precise division of operation permissions for production， environmental protection， and management roles， significantly reducing the response time for abnormal conditions. Based on the enterprise's "zeolite rotor adsorption concentration + regenerative thermal catalytic oxidation" purification process， an online evaluation model for purification efficiency was constructed. The "data-driven decision-making-intelligent dynamic regulation-precise responsibility traceability" technical paradigm established in this study provides a reusable framework for the application of computer technology in the deep treatment of industrial VOCs. It also has important practical value for promoting the intelligent management of pollutants throughout the process of typical industrial parks， and is especially applicable to rubber products sectors with dense solvent usage， such as tire manufacturing and sealing component production.
- industrial VOCs,
- rubber paste preparation workshop,
- software engineering,
- whole-process management,
- online monitoring

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References(26)

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