Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (11): 143-149.doi: 10.13475/j.fzxb.20200307607

• Apparel Engineering • Previous Articles     Next Articles

New intelligent mining clothing design with real-time gas monitoring function

JIN Peng1, XUE Zhebin2(), GE Yao2   

  1. 1. College of Textile Science and Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
    2. School of Design, Jiangnan University, Wuxi, Jiangsu 214122, China
  • Received:2020-03-27 Revised:2020-08-06 Online:2020-11-15 Published:2020-11-26
  • Contact: XUE Zhebin E-mail:zhebin.xue@jiangnan.edu.cn

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Abstract:

In view of the existing problems in the lack of comfort and safety for mining clothing, a improved design was put forward from the perspectives of clothing materials, structure and functional modules. From the perspectives of antistatic and flame retardant, silver fiber blended fabric was chosen as the main material for the new mining clothing. Based on ergonomics, the clothing parts that affect wearing comfort were redesigned. In addition, based on the safety requirements of underground work, a gas monitoring and warning module is added to the right chest position of the mine clothing. The test results show that by simulating the underground environment with high temperature and humidity (35 ℃, 70% humidity), the newly designed mining clothing obtained 1.32 points higher than that of the traditional mining suits in subjective evaluation according to the new 7-point system, and the average skin surface temperature is proven to rise more slowly. Meanwhile, the gas monitoring system is able to measure the gas concentration in real time, ensuring the safety of the underground workers.

Key words: mining clothing, structural design, gas monitoring, intelligent clothing

CLC Number: 

  • TS941.731

Fig.1

Research framework"

Fig.2

Place of reflective strip pasted. (a) Front structure drawing; (b) Reverse structure drawing"

Fig.3

Connection diagram"

Fig.4

Schematic diagram of terminal web page"

Fig.5

Gas monitoring module running process"

Tab.1

Mean value of subjective assessment for the first 5 min"

时间 1 min 2 min 3 min 4 min 5 min
组1 6.8 6.4 6.1 5.1 4.0
组2 6.9 6.6 6.4 6.0 5.8

Tab.2

Mean value of subjective assessment for the last 5 min"

时间 6 min 7 min 8 min 9 min 10 min
组1 3.3 2.8 3.0 2.2 2.0
组2 5.4 5.1 4.8 4.1 3.4

Fig.6

Variation of body surface temperature"

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