MET prediction model of muscle fatigue in drilling with simulated overhand position

doi:10.16265/j.cnki.issn1003-3033.2024.08.1776

Abstract

Abstract:

In order to evaluate the development of muscle fatigue during drilling operations in the hand-over-head posture, a simulated drilling test was conducted to measure the maximum voluntary contraction (MVC) of muscles before the test, the maximum residual muscle strength (MRF) after the test, the degree of strength output attenuation (ΔF), and ratings of perceived exertion (RPE) of wrists, elbows, and shoulders. MET was recorded. By setting different combinations of three operating surfaces (front, side, and bottom) and three operating heights as experimental variables, the effects of different operating methods on muscle fatigue during drilling operations under hand head posture were compared. Subsequently, the effects of three operating surfaces (front, side, and bottom) and three operating heights on MET, MRF, ΔF, as well as RPE of wrist, elbow, and shoulder were analyzed. Research has shown that using frontal manipulation and reducing arm lift height can effectively alleviate muscle fatigue. Different operating surfaces significantly affect MET, MRF, and ΔF, as well as RPE of the wrist, elbow, and shoulder. Different operating heights significantly affect MET, MRF, and RPE of the elbow. MET prediction model established in this article can reflect the muscle fatigue status of personnel during drilling operations in the hand-head posture.

Key words: overhand work, drilling operation, muscle fatigue, maximum endurance time (MET), prediction model

CLC Number:

X912.9安全人机学

ZHAO Chuan, LIU Siqi, ZHAO Xiaoyi. MET prediction model of muscle fatigue in drilling with simulated overhand position[J]. China Safety Science Journal, 2024, 34(8): 238-246.

Figures/Tables 17

Table 1

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Fig.2

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Table 2

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Table 3

Table 4

Table 5

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Table 6

Table 7

Table 8

MET regression equation for overhead work

函数形式	回归方程		决定系数R²	p	MET计算公式
指数函数	有截距	$y = 5.482 - 10.043 x$	0.61	截距: p<0.001; X: p = 0.000	$M E T = 6.693 × e x p (- 10.043 × f)$	(5)
指数函数	无截距	$y = 4.369 x$	0.29	p<0.001	$M E T = e x p (4.369 × f)$	(6)
幂函数	有截距	$y = 0.154 - 1.087 x$	0.31	截距: p<0.001; X: p = 0.000	$M E T = 0.201 × f - 1.087$	(7)
幂函数	无截距	$y = - 0.297 x$	0.73	p<0.001	$M E T = f - 0.297$	(8)

Table 8

Table 9

In this paper, the prediction model and the MAD and RD of some existing MET models are established

模型			MAD/min	RD/%
—	式(5)	$M E T = 6.693 × e x p (- 10.043 × f)$	0.66 (0.38)	29.65(11.24)
—	式(8)	$M E T = f - 0.297$	0.68(0.43)	32.27(13.54)
单手拉车作业模型	易灿南等^[7] (指数模型)	$M E T = 38.093 × e x p (- 3.87609 × f)$	16.80(2.10)	72.51(5.95)
双手拉车作业模型	唐范等^[8] (幂函数模型)	$M E T = f - 3.9036$	9.40 (5.73)	57.48(5.35)
疲劳模型	MA Liang等^[15]	$M E T = - l n f / (k × f)$	17.35(6.18)	92.12(5.88)
一般模型	MANENICA^[11]	$M E T = 14.88 × e x p (- 4.48 × f)$	5.16(1.05)	33.18(11.40)
手部/抓握模型	MANENICA^[11]	$M E T = 16.6099 × e x p (- 4.5 × f)$	5.10(1.10)	37.64(9.76)
手部/抓握模型	AVIN等^[16]	$M E T = 29.078 × e x p (- 5.48 × f)$	10.39(1.89)	63.48(11.68)

Table 9

Fig.7

Table 10

References 16

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试验编号	自变量
试验编号	操作面	操作高度/mm
1	正面S₁	H₁
2	正面S₁	H₂
3	正面S₁	H₃
4	侧面S₂	H₁
5	侧面S₂	H₂
6	侧面S₂	H₃
7	底面S₃	H₁
8	底面S₃	H₂
9	底面S₃	H₃

类型	正面与侧面	侧面与底面	H₁与 H₂	H₁与 H₃	H₂与 H₃
MET	0.000	0.479	0.231	0.998	0.058
MRF	0.070	0.000	0.000	0.001	0.004
ΔF	0.001	0.009	0.078	0.000	0.441

类型	MET	MRF	ΔF
S₁	3.97(±1.81)	10.08(±3.47)	2.61(±1.05)
S₂	1.40(±0.55)	6.52(±1.16)	0.86(±0.28)
S₃	1.60(±0.60)	12.10(±2.88)	2.91(±1.79)
H₁	2.59(±1.71)	9.69(±3.28)	1.82(±1.37)
H₂	2.28(±1.68)	8.72(±2.76)	1.72(±1.38)
H₃	2.10(±1.49)	10.30(±4.27)	1.70(±1.48)

类型	相关性	MET	MRF	ΔF
MET	皮尔逊相关性	1	-0.056	0.112
MRF	皮尔逊相关性	-0.056	1	0.201^*
ΔF	皮尔逊相关性	0.112	0.201^*	1

效应	RPE
	手腕			手肘			肩
	df	F	p	df	F	p	df	F	p
主效应	—	—	—	—	—	—	—	—	—
操作面	2	4.45	0.01	2	3.58	0.03	2	3.12	0.04
操作高度	2	0.46	0.64	2	3.30	0.04	2	0.99	0.46
交互效应	—	—	—	—	—	—	—	—	—
操作面与操作高度	4	1.14	0.34	4	2.14	0.08	4	0.09	0.98