Engineering project management based on multiple regression equation and building information modelling technology

Fig. 1

Fig. 2

Equations (1), (2) score span table

Score span	Equation (1)	Equation (2)
Minimum	50.17	38.92
Max	61.46	77.46

Comparison table of Eqs_ (2), (4)

Surrounding rock category	Field length	Equation (2)	Equation (4)
II	148.2	148.2	93.2
I	80.3	77.4	36.9
III	30.7	13.6	30.7
II	1002.4	787.7	977
IV	14.7	14.7	14.7
Coincidence rate	-	81.61%	90.30%
Score span	37.3–73.0	38.9–77.5	34.3–69.7

Correlation coefficient table between tunnelling parameters and geological factors

	Rotating speed	Torque	Usage rate	Propulsion	Penetration	Rock strength
Rotating
speed	1
Torque	0.21	1
Usage rate	0.389	0.726	1
Propulsion	0.479	0.394	0.482	1
Penetration	−0.585	0.214	0.111	−0.367	1
Rock strength	0.053	0.091	0.086	−0.041	−0.005	1

Model overview table

Model		Model 1	Model 2
Correlation coefficient		0.243	0.82
Fitting coefficient		0.059	0.673
Adjusted fitting coefficient		0.053	0.67
Standard error of the estimate		6.9209	4.0857
Corrected statistics	Fitting coefficient	0.059	0.673
	F	10.078	273.827
	Degree of freedom 1	5	6
	Degrees of freedom 2	801	800
	Significant level	0	0

Equations (1), (2) points value coincidence rate table

Surrounding rock category	Field length	Equation (1)	Equation (2)
IIs	148.2	0	148.2
II	80.3	0	77.4
IIIs	30.7	30.7	13.6
III	1002.4	1002.4	787.7
IV	14.7	0	14.7
Coincidence rate	-	80.94%	81.61%

Equations (3) and (4) points value coincidence rate table

Surrounding rock category	Field length	Equation (3)	Equation (4)
II	80.3	0	36.9
IIs	148.2	0	93.2
IIIs	30.7	30.7	30.7
III	1002.4	1002.4	977
IV	14.7	0	14.7
Coincidence rate	-	80.94%	90.30%

Equations (3), (4) score span table

Score span	Equation (3)	Equation (4)
Minimum	51.4	34.3
Max	60.8	69.7