Analysis of the Role of Informative Construction Management System in Improving the Safety of Oil and Gas Pipeline Construction and Its Efficiency

Oil and natural gas have very important value and significance to the modern industrial development as well as the normal life of the people, and they are important energy sources. China has carried out large-scale construction of oil and gas pipeline projects throughout the country, which can effectively provide energy security for the society [1-2]. Oil and gas pipeline project construction needs to be carried out in a variety of different geological environments, and the technical requirements for the construction unit are relatively high. At the same time, the oil and gas pipeline project also has many points, long lines, wide surface, management personnel are too dispersed and so on, in practice, this characteristic brings considerable difficulty to the development of project management [3-4]. In the current technological background, information technology can provide strong technical support for the effective development of oil and gas pipeline engineering construction activities, in order to improve the efficiency of work at the same time, but also to improve the quality of work and reduce management costs [5-6].

At the same time, oil and gas pipelines, as an important part of social infrastructure, are highly efficient, safe, environmentally friendly and economical means of transportation. However, its safe operation is related to people’s production, life and even national security and stability [7-8]. The management, patrol and pipeline welding quality inspection during the construction of oil and gas pipelines are important parts of maintaining pipeline safety, and the construction quality of oil and gas pipeline projects, which is related to the convenience of people’s life, is actually a large-scale oil and gas pipeline project with a strong technical nature, and it is easy for various quality problems to occur in the process of construction, which brings hidden dangers to people’s lives [9-10]. In the control of the quality of oil and gas pipeline project, oil and gas pipeline supervision plays a very important role, is an indispensable and important part of the engineering construction link, efficient engineering supervision, helps to comprehensively improve the effect of oil and gas pipeline project construction. Oil and gas pipeline construction involves pipeline construction process supervision patrol, pipeline construction process violations supervision, pipeline welding process of weld quality, and the project acceptance data organization and archiving, etc., oil and gas pipeline construction process of vehicles and personnel management, etc. [11-13].

Pipeline construction control is to ensure pipeline construction safety, pipeline construction quality, improve pipeline construction management efficiency, according to the pipeline construction process of supervision focus, difficulties, etc., the system mainly realizes the function of pipeline construction process, including automatic identification of violations, project resource data management, dynamic management of the construction vehicle, project personnel management and assessment and other functional components [14-16].

The optimization and development of oil and gas pipeline construction technology involves various aspects, and academics focus on the research direction of oil and gas pipeline materials, pipeline welding, pipeline corrosion prevention, pipeline testing and risk assessment models. Literature [17] based on bibliometric analysis method to systematically study the safety of oil and gas pipelines related research papers, summarized the cutting-edge research and future development trend of oil and gas pipelines, and concluded that the Bayesian network model and the CFD consequence analysis will be used for the risk assessment of oil and gas pipelines in the future. Literature [18] discusses the current oil and gas pipeline inspection technology, summarizes the advantages and disadvantages of each pipeline inspection technology and applicable conditions, and carries out a comparative analysis of the performance, and also expands the gaps in pipeline inspection research. Literature [19] introduces the existing oil and gas pipeline inspection strategies, including their advantages, shortcomings, applicable scenarios, etc., and summarizes and classifies the standards of different inspection technologies, which provides a certain reference for the selection of oil and gas pipeline inspection technologies. Literature [20] proposed a fuzzy risk analysis model to assess the priority of major and residual risks of natural gas pipelines, and finally conducted a sensitivity analysis for the model parameter weights to confirm the feasibility of the proposed model. Literature [21] describes the causes and hazards of oil and gas pipeline corrosion phenomena, and examines the strategies used to mitigate oil and gas pipeline corrosion, and finally considers the relevant research paths and future development trends of oil and gas pipeline corrosion prevention. Literature [22] discusses the changes brought about by technological upgrading and management reform and innovation in the oil and gas storage and transportation industry, and systematically reviews the development history of the oil and gas pipeline transportation field, and combines the impact of the energy science and technology and technological revolution on the oil and gas transportation field, and finally looks forward to the development of the oil and gas pipeline transportation industry from the perspectives of big data technology, facility safety and so on. Literature [23] studied the requirements of oil and gas pipeline transportation for pipeline materials and the principles of pipeline welding, and critically analyzed the challenges and obstacles of welding high-strength materials for oil and gas pipelines, which involve weld corrosion, residual stress, and weld repair.

The rapid development of digital intelligence information technology has brought subversive changes to the oil and gas industry, and digital intelligence information technology mainly takes the form of data information visualization and intelligent construction to simplify the development and operation process of oil and gas engineering, improve the efficiency of oil and gas engineering construction and operation, as well as improve the monitoring and management of oil and gas engineering, so as to escort the production and transportation of oil and gas. Literature [24] studied the opportunities and challenges brought by big data technology empowering the oil and gas field, and pointed out that data twinning technology is mainly applied in the assessment of asset integrity in the oil and gas field, and in the lifecycle management of oil and gas transportation projects by reviewing the research literature related to big data technology and the oil and gas industry. Literature [25] summarizes the concept and connotation of Industry 4.0, which is supported by big data technology and Internet of Things (IoT) technology, and analyzes the practice of oil and gas field driven by digital intelligence technology, which deepens people’s cognition and understanding of the oil and gas industry of digital intelligence informationization. Literature [26] discusses the data type, data state and data structure of the data visualization system of the oil and gas pipeline in the east of China and Russia, and considers that this oil and gas pipeline project realizes the integrated display of multifarious dynamic and static data of construction and operation, and finally puts forward some optimization suggestions in a targeted manner. Literature [27] searched journals and industry research reports on telework in the oil and gas field, revealing that the digital information technology-enabled telework model facilitates the improvement of work efficiency while posing challenges to organizational cultural cohesion. Literature [28] talks about artificial intelligence information technology-enabled oil and gas exploration, oil and gas engineering, realizing intelligent imaging of logging, intelligent acquisition of seismic nodes, intelligent fracturing as well as intelligent monitoring, which improves the efficiency and safety of oil and gas exploration. Literature [29] comprehensively reviewed the practice frontiers of artificial intelligence technology as well as machine learning algorithms in the oil and gas field, and concluded that intelligent systems in the oil and gas field effectively simplify the work and decision-making processes of oil and gas enterprises, and make these processes more transparent. Literature [30] investigated the relationship between knowledge sharing practices and organizational performance in the oil and gas (OG) industry based on a questionnaire survey, and simulated and verified it through structural equation modeling, concluding that oil and gas expertise sharing reduces the production and operation costs of oil and gas enterprises to a certain extent, and has a positive impact on the growth and progress of the organization.

The information-based construction management system has more functions in oil and gas pipeline construction safety monitoring. This paper takes the construction project of the third line of West-East Natural Gas Pipeline as an example, firstly, constructs the evaluation index system of oil and gas pipeline construction safety risk management, and verifies the scientificity of the index system through questionnaire survey and credibility test. Then, using the principal component analysis method, we calculate the comprehensive evaluation index value for project safety based on the index system. According to the obtained comprehensive evaluation value and ranking, the role of informationized construction management system in improving the safety management of oil and gas pipeline construction is analyzed. Finally, the DEA model is used to analyze the efficiency of safety management.

2

Functions of the information-based construction management system

The information-driven construction management system has a high degree of automation, digitization, networking, and intelligence, and is able to meet various business needs in the construction process of oil and gas pipelines. Informatized construction management system contains more functions, mainly including evaluation, judgment, display, perception, control, analysis and other functions, providing scientific and reasonable management and operation decision-making for each construction stage in the process of oil and gas pipeline construction [31].

In terms of monitoring oil and gas pipeline construction safety, the main functions of the informationized construction management system are: 1)

Safety monitoring of oil and gas pipeline construction site.

2)

Collecting on-site environmental information and equipment operation status information through sensors, and transmitting the data to the server through the network to realize real-time monitoring of on-site data.

3)

Real-time monitoring of equipment operation status and environmental changes is realized by analyzing and processing the data collected by sensors.

4)

Automatically alarm according to environmental changes, when the environment changes, the system automatically reminds construction workers to take protective measures.

5)

Transmit the safety monitoring information to the management department in time, and realize the remote control and management of on-site equipment.

3

Case studies and evaluation of the effectiveness of construction safety controls

This paper chooses a section of the third line pipeline project of West-East Natural Gas Transmission as an example, and analyzes the role and efficiency of the information-based construction management system in the construction safety of this project by using the principal component analysis method.

3.1

Introduction of West-East Natural Gas Transmission Line 3 Pipeline Construction Project Engineering

West-East Natural Gas Pipeline Project is one of the national key projects, the current construction of West-East Natural Gas Pipeline Project is underway in the eastern section of the third line of the X-bid, which is a total length of 571.3km, located in the territory of Fujian Province, including the starting point of the Zhangzhou sub-transmission clearing station diameter Ф1219mm, a length of 258.3km, material X80. Zhangzhou sub-transmission clearing station to the end of the station in Fuzhou, the diameter of the pipe Ф1016mm, a length of 313km, material X70. Design pressure of 10 MPa. 1016mm, 313km long, material X70, design pressure 10MPa. The whole line has 8 stations, 26 line cut-off valve room, 59km/15 external power lines. Single out of the map mountain tunnel pipe installation 44.112km/40, 2 under the river drilling and blasting tunnels, (Jiulong River 1.255km, Jinjiang River 0.5km). Single out of the map medium-sized river crossing 4.981km/24. There are 21 highways (including 1 ramp, 3 approach roads, and 2 duplex connections), 30 other secondary and above highways, and 13 railroads. Optical fiber cable is laid in the same trench, covering 40.819km/7 new or renovated companion roads.

The terrain along this project is roughly divided into two sections, west of Zhangzhou is Gan and Fujian mountainous area, with rolling hills, good vegetation, more villages in the valley, relatively poor road conditions, and small cities. East of Zhangzhou belongs to the economically developed coastal areas of Fujian, with little topographic relief, relatively good road conditions, a dense distribution of towns, industries, and mines, and a large population.

In this paper, construction safety risk management for the construction of risk management examples selected for the project X section of the X section, the section line from the junction of Quanzhou City, Fujian Province and Putian City (pile No. 6055), Xianyou County, Putian City, Hanjiang District, Fuqing City, Fuzhou City, Minhou County, terminated at the end of the station in Fuzhou (pile No. 6315). The length of the line is approximately 121.2km.The steel pipe has a diameter of 1016mm and a design that conveys pressure of 10.0MPa. The line’s steel pipe is made from L485 X70 grade.

The pipeline line in this section is long, the construction period is tight, and the construction management task is heavy. This section is in Fujian Province, the pipeline along the frequent changes in geomorphological units, terrain undulation, to the middle and low mountains, hills, mainly, local plains, valley bottom, the surface soil layer of powdery clay about 1m-2m, the second layer of tuff and granite. Line in order to avoid the Jiulihu scenic area, had to be laid in the scenic area west of the mountain, the pipeline from south to north to climb the mountain Jedi height difference of more than 600m, down the mountain is steeper, the difference in height of more than 200 meters, the construction of more difficult. The pipeline crosses large and medium-sized rivers 8 times along its route, singles out the roof pipe on the map and passes through national highways, provincial highways, and railroads in a total of 41 places.

3.2

Construction of safety risk management evaluation index system for oil and gas pipeline construction

The oil and gas pipeline construction safety risk management evaluation index system constructed in this paper with reference to previous research on construction risk management of oil and gas pipeline projects is shown in Table 1. The first-level indicators are identified as: risk management planning, risk identification, risk analysis, risk response, risk monitoring, and summarization and recommendation, and are subdivided into 17 second-level indicators.

Table 1.

Safety risk management evaluation index system

Primary indicator	Secondary indicator
Risk planning management (RP)	Collect the information of the oil and gas pipeline (RP1)
	Participants who determine the risk of construction (RP2)
	Establish the risk management process planning file (RP3)
Risk identification (RI)	Analyze risk categories (RI1)
	Determine the risk content and infer the result (RI2)
	Report on risk identification (RI3)
Risk analysis (RA)	Estimated risk occurrence probability (RA1)
	Analyze the scope and severity of risk (RA2)
	Analyze risk acceptance (RA3)
Risk response (RR)	Collect project status and develop risk response measures (RR1)
Risk response (RR)	Implement the risk response plan (RR2)
Risk monitoring (RM)	The risk response measures are performed and the effect (RM1)
	Tracking risk dynamic development (RM2)
	Analyze risk variation (RM3)
Summary and recommendation (CS)	Experience of risk management (CS1)
	Technical reserve improvement (CS2)
	Organizational culture (CS3)

3.2.1

Questionnaire design and data analysis

In order to ensure the scientificity of the constructed oil and gas pipeline construction safety risk management evaluation index system, the survey is carried out in the form of questionnaire. The questionnaire mainly consists of three parts: the preamble of the questionnaire, the basic information of the respondents and the evaluation indexes, in which the part of the evaluation indexes of risk management of oil and gas pipeline project construction requires the respondents to judge the importance of the 17 influencing factors according to their own knowledge system and experience. The questionnaire uses the Likert scale method, which divides the criteria into levels 1 to 5, representing the importance of each indicator to risk management in pipeline project construction from low to high. The questionnaire follows the principle of random distribution, and a total of 263 questionnaires were distributed by means of network distribution, of which there were 246 valid questionnaires, with an effective rate of 93.54%. The survey personnel most in line with the questionnaire survey object of the construction unit, construction units and universities and research institutions accounted for 75.2%, the work experience is greater than 3 years as high as 69.6% of the personnel, it can be seen that most of the respondents have many years of experience, but also from the side of the collected data to reflect the credibility of the higher degree of credibility.

3.2.2

Reliability and Validity Tests

In order to understand the stability and reliability of the measurement questions, Cronbach’s coefficient is usually used to measure the reliability, and it is generally accepted that the Cronbach’s coefficient α should be at least greater than 0.5.In this paper, the data of the questionnaire were analyzed for reliability by using SPSS25.0 software, and the results of the reliability test are shown in Table 2. The Cronbach’s α coefficients of the six latent variables in the questionnaire are all >0.7, and the Cronbach’s α coefficient of the total scale is 0.916 > 0.9, indicating that the scale used in this study has good reliability.

Table 2.

Reliability test results

Potential variable	Number of observed indicators	Alpha	Total Alpha
RP	3	0.836	0.916
RI	3	0.914
RA	3	0.963
RR	2	0.796
RM	3	0.805
CS	3	0.812

Validity analysis is a means to ensure the validity between and within factors, and this paper uses SPSS25.0 software to conduct the validity test.The results of KMO and Bartlett’s test are shown in Table 3. The KMO value of the survey scale is 0.933 (>0.7), which indicates that the data has strong correlation and is suitable for further analysis by principal component analysis. And the p-value is infinitely close to 0, i.e., the Bartlett’s test result is significant, indicating that the scale can accurately measure the characteristics of the variables. In summary, the reliability and validity of the survey scale designed according to the oil and gas pipeline construction safety risk management evaluation index system passed the test and can be further studied.

Table 3.

KMO and Bartlett tests

Categories		Numerical value
KMO sampling availability number		0.933
Bartlett sphericity test	Approximate card	2796.33
	df	138
	p	0.001

3.3

Evaluation of construction safety control effect based on principal component analysis method

3.3.1

Fundamentals of Principal Component Analysis (PCA)

The main principle of principal component analysis is the original numerous factor indicators with a certain degree of correlation, after analyzing and screening, regrouping, and replacing them with a new set of new indicators that are not related to each other, the principle of the method is also a method of mathematical dimensionality reduction [32].

The most classic algorithm of principal component analysis is as follows: the first composite indicator is chosen as F₁, and it is hoped that it reflects as much information of the original indicator as possible, and the larger the F₁, the more original information F₁ contains. The largest variance of F₁ is called F₁ as the first principal component. If the first principal component F₁ is not enough to represent the information of the original p indicators, then consider selecting F₂, that is, selecting the second combination of line pieces, in order to effectively reflect the original information, the information already contained in F₁ does not need to appear in F₂, F₂ is the second principal component. By analogy, P principal components can be obtained.

Assume that the object of analysis X contains p original variables X₁,X₂,…,X_p, X a total of n samples, constituting a matrix X of order n×p. then: (1) $X = (\begin{array}{l} x_{1} \\ x_{2} \\ ⋮ \\ x_{p} \end{array}) = (\begin{matrix} x_{11} & x_{12} & \dots & x_{1 p} \\ x_{21} & x_{22} & \dots & x_{2 p} \\ ⋮ & ⋮ & ⋱ & ⋮ \\ x_{n 1} & x_{n 2} & \dots & x_{n p} \end{matrix})$

The original variables are downgraded to obtain a new composite indicator denoted as F₁,F₂,…,F_m(m ≤ p), which is called the 1,2,…m rd principal component of the original variable X₁,X₂,…,X_p, respectively. The solution steps of the principal component analysis method used in this paper are shown below:

1)

Normalize the original data:

(2)

x_{i} = \frac{X_{i} - \bar{X_{i}}}{S_{i}}

2)

Calculate the correlation coefficient matrix:

(3)

R = [\begin{matrix} r_{11} & r_{12} & \dots & r_{1 p} \\ r_{21} & r_{22} & \dots & r_{2 p} \\ ⋮ & ⋮ & ⋱ & ⋮ \\ r_{p 1} & r_{p 2} & \dots & r_{p} \end{matrix}]

r_ij(i,j = 1,2,⋯, p) is the correlation coefficient x_ij = x_ij between the original variables x_i and x_j, which is calculated as: (4) $r_{i j} = \frac{\sum_{k - 1}^{n} (x_{k i} - \bar{x_{i}}) (x_{k j} - \bar{x_{k j}})}{\sqrt{\sum_{k - 1}^{n} {(x_{k j} - \bar{x_{i}})}^{2} \sum_{k - 1}^{n} {(x_{k j} - \bar{x_{j}})}^{2}}}$

3)

Calculate eigenvalues and eigenvectors:

(1)

Solve the eigenequation |λI–R| = 0, commonly used Jacobi to find the eigenvalues and rank their magnitude: λ₁ ≥ λ₂ ≥⋯≥λ_p ≥ 0.

(2)

Find the eigenvector e(i = 1,2,⋯,p) corresponding to eigenvalue λ_i, respectively, and require ‖e_i‖ = 1, i.e., $\sum_{j - 1}^{p} e_{i j}^{2} = 1$ , e_ij denote the j th component of vector e_i.

(3)

Calculate the principal component contribution and the cumulative contribution: (5) $\frac{λ_{i}}{\sum_{k - 1}^{p} λ_{k}} (i = 1, 2, \dots p)$ (6) $\frac{\sum_{k - 1}^{i} λ_{k}}{\sum_{k - 1}^{p} λ_{k}} (i = 1, 2, \dots, p)$

The contribution rate refers to the proportion of the variance of a principal component to the total variance, that is, the proportion of an eigenvalue to the total of all eigenvalues. That is, the larger the contribution rate, the more comprehensive the information of the original variable contained in the principal component, the better the integrity of the extracted information, and the more representative it is. The selection of the number of principal components is mainly based on the cumulative contribution rate of the principal components.

4)

Calculate the principal component loadings:

(7)

l = p (z_{i}, x_{j}) = \sqrt{λ_{i} e_{i j}} (i, j = 1, 2, \dots, p)

5)

Calculate the score formula for the principal components:

(8)

Z = [\begin{matrix} z_{11} & z_{12} & \dots & z_{1 m} \\ z_{21} & z_{22} & \dots & z_{2 m} \\ ⋮ & ⋮ & ⋱ & ⋮ \\ z_{n 1} & z_{n 2} & \dots & z_{n m} \end{matrix}]

3.3.2

Effectiveness evaluation using principal component analysis

1)

Descriptive statistics and data processing

Five construction projects with close volume, including the case project, are selected and numbered, and the statistics of project numbers are shown in Table 4. Only the construction project of the third line of West-East gas transmission pipeline (Construction 3) of the five selected projects used the informationized construction management system in the construction safety management, and the remaining four projects were all traditional safety management methods.

Table 4.

Item number statistics

Item number	Construction 1	Construction 2	Construction 3	Construction 4	Construction 5
Name	West-East Gas Pipeline Project Phase I	West-East Gas Pipeline Project Phase II	West-East Gas Pipeline Project Phase III	West-East Gas Pipeline Project Phase IV	Shaanxi-Beijing Gas Pipeline Project Phase I
Management type	Traditional safety management	Traditional safety management	Ours	Traditional safety management	Traditional safety management

They were researched and 5 experts were asked to average the scores after assigning scores to the 5 items. This survey work still utilizes the Likert 5-level scale method, where the higher the score, the better. The scores range from 1 to 5. Based on the results of the 5 experts’ evaluation of on-site safety management, the comprehensive average of each impact factor in the evaluation index system is calculated, and the comprehensive average of each project’s impact factor is shown in Figure 1. The comprehensive average value of each impact factor of construction 3 is above 4 points, and the overall average value is 4.498, which is higher than that of construction 1, construction 2, construction 4 and construction 5 by 1.293, 1.448, 1.688 and 1.678 respectively.

2)

Principal component analysis

This paper combines SPSS24.0 to carry out the work of principal component analysis for the six first-level indicators, and the correlation matrix of each influential factor is shown in Figure 2. The correlation coefficient between the factors can reach a maximum of 0.893 and a minimum of 0.223.

The total variance interpretation is shown in Table 5. In this paper, the criterion for the selected intercept factor is that the characteristic root exceeds 1. In this, the first two factors have a cumulative contribution of 83.031% in the total variance, and in general the cumulative contribution index reaches 70%, which indicates that the important information of most of the measured indicators is included, so the first and second principal components are selected. The explanation rate of the first principal component is 63.663%, which indicates that the first principal component plays the most important role in the evaluation of safety management.

Table 5.

Total variance interpretation

Constituent	Initial eigenvalue			Extracting the load of the load
Constituent	Total	Percentage of variance	Cumulation	Total	Percentage of variance	Cumulation
1	1.138	63.663	63.663	1.138	63.663	63.663
2	1.099	19.368	83.031	1.099	19.368	83.031
3	1.038	10.77	93.801	-	-	-
4	0.955	3.125	96.926	-	-	-
5	0.896	2.896	99.822	-	-	-
6	0.874	0.178	100	-	-	-

The matrix of component score coefficients is shown in Table 6. The risk identification variable (RI) has the greatest influence on the second principal component, with an absolute value of 0.689.

Table 6.

Component score coefficient matrix

Potential variable	Constituent
Potential variable	1	2
RP	0.211	-0.274
RI	0.129	0.689
RA	0.241	-0.136
RR	0.217	0.389
RM	0.239	-0.161
CS	0.184	-0.32

1)

Selection of principal components

Based on the output of the matrix of component score coefficients, from which the principal component expression is obtained that is: (9) $F_{1} = 0.211 P_{1} + 0.129 P_{2} + 0.241 P_{3} + 0.217 P_{4} + 0.239 P_{5} + 0.184 P_{6}$ (10) $F_{2} = - 0.274 P_{1} + 0.689 P_{2} - 0.136 P_{3} + 0.389 P_{4} - 0.161 P_{5} - 0.32 P_{6}$

Note: F1 and F2 denote the first principal component and the second principal component, respectively, and P1~P6 denote risk management planning, risk identification, risk analysis, risk response, risk monitoring, and summary and recommendation, respectively.

2)

Calculate the value of comprehensive evaluation index

The expressions of the principal components have been obtained from above, and the first principal component is closely associated with risk management planning, risk analysis, risk monitoring and summarization and recommendations. The second principal component is closely related to risk identification, risk response and so on. Comprehensive evaluation often cannot be accomplished by combining a single principal factor, so the weights are explicitly defined as the variance contribution ratio corresponding to all principal factors. The principal component composite model is calculated to produce the following expression for the final composite indicator F: (11) $F = \frac{λ_{1}}{λ_{1} + λ_{2}} F_{1} + \frac{λ_{2}}{λ_{1} + λ_{2}} F_{2} = 0.693 F_{1} + 0.307 F_{2}$

3)

Safety ranking of oil and gas pipeline construction sites

The comprehensive evaluation values of the five project safety evaluation indexes are calculated and ranked in descending order, and the larger the value is, the higher the safety management level of the construction project site is, i.e., the better the safety condition is. The comprehensive evaluation value ranking is shown in Table 7. It can be seen that construction project No. 3, i.e., the construction project of the third line of the West-East Natural Gas Pipeline, which utilizes the informationized construction management system to carry out safety management, has the highest comprehensive evaluation value, with a score of 3.969, while the construction project of the fourth line of the West-East Natural Gas Pipeline (construction No. 4) has the lowest comprehensive evaluation value, with a score of 3.281, and its specific ranking is Construction No. 3>Construction No. 1>Construction No. 2>Construction No. 5>Construction No. 4.

Table 7.

Integrated evaluation value ordering

Item number	Construction 1	Construction 2	Construction 3	Construction 4	Construction 5
Score	3.897	3.674	3.969	3.281	3.297
Sort	2	3	1	5	4

Finally, the actual number of accidents occurred in these five projects during the whole construction phase as visited and inquired by the Safety Supervision Station, and the statistics of the actual number of accidents in the projects are shown in Table 8. The number of fatalities and injuries in the projects using the information-based construction management system for safety management is 0 and 1, which is a significant decrease in the number of accidents compared to the traditional safety management projects.

Table 8.

The number of actual accidents in the project

Item number	Construction 1	Construction 2	Construction 3	Construction 4	Construction 5
Death toll	0	1	0	3	5
Hurt number	4	6	1	7	9
Number of accidents	2	3	1	5	4

Comprehensive Table 7, Table 8, shows that compared with the traditional oil and gas pipeline construction safety management, the use of information technology construction management system of this safety management method of control and management effect is better, in the oil and gas pipeline construction safety management has a certain value of popularization and use.

3.4

Security management efficiency analysis based on DEA modeling

In order to systematically evaluate the performance of the information-based construction management system on the safety management efficiency of oil and gas pipeline construction, this paper combines the data envelopment analysis (DEA) model to calculate the comprehensive efficiency, pure technical efficiency, and scale efficiency of safety management with the aim of analyzing the safety management efficiency of oil and gas pipeline construction projects from a quantitative perspective.

3.4.1

Data collection and descriptive statistics

In order to ensure the diversity and objectivity of the data, 10 time points after the use of the informationized construction management system in the construction project of the third pipeline of the West-East Natural Gas Pipeline were selected as the objects of the study. Statistics on the number of intelligent equipment used (X1), the number of intelligent technology applications (X2), the number of safety trainings (X3), the number of intelligent identification of potential safety hazard points (Y1), and the number of unsafe behavior investigations and punishments (Y2) were carried out for the projects in different time periods, respectively. The descriptive statistics of each variable are shown in Table 9. The selected 10 time nodes have a large gap between input (X) and output (Y) for the application of the information-based construction management system, for example, the maximum and minimum values of the number of intelligent devices used are 196 and 15, respectively.Therefore, it is necessary to conduct an efficiency analysis.

Table 9.

Descriptive statistics

Variables	N	Min	Max	M	Std.Dev
X1	10	15	196	78.228	51.711
X2	10	7	22	12.076	4.471
X3	10	6	40	18.06	8.874
Y1	10	293	716	471.701	110.761
Y2	10	51	544	297.025	119.131

3.4.2

Data correlation tests

The data of each variable were tested for correlation, and the Pearson correlation test is shown in Table 10. It can be seen that the number of intelligent equipment (X1) and the number of applications of informationized construction management system (X2), the number of safety training (X3), the number of intelligent identification of hidden safety hazard points (Y1), a total of four items show a positive correlation and passed the significance, p value is less than 0.01. However, the number of unsafe behaviors investigated (Y2) showed a negative correlation because this indicator was retained as a non-desired output, as one of the objectives of the safety resource inputs is to reduce the number of unsafe acts.

Table 10.

Pearson correlation test

	X1	X2	X3	Y1	Y2
X1	1	-	-	-	-
X2	0.637**	1	-	-	-
X3	0.553**	0.726**	1	-	-
Y1	0.59**	0.717**	0.511**	1	-
Y2	-0.663**	-0.595**	-0.593**	-0.365**	1

3.4.3

Evaluation of security management efficiency

After the data are processed and analyzed by using Matlab R2021b software, we can know the performance of the West-East Natural Gas Transmission Line 3 pipeline construction project in terms of comprehensive efficiency, pure technical efficiency, and scale efficiency in 10 time nodes (decision-making units) after the use of the information-based construction management system. The efficiency values are summarized as shown in Table 11. Among the 10 decision-making units, the comprehensive efficiency, pure technical efficiency, and scale efficiency of the 5th time node and the 6th time node reach 1. It indicates that with the application of the informationized construction management system, the safety management of the construction of the third line of the West-East Natural Gas Pipeline reaches the optimal effect and achieves the best utilization of resources. However, the subsequent several time nodes will still appear to have not reached the optimal allocation. Therefore, it is necessary to formulate relevant strategies to adjust appropriately and achieve optimal resource allocation.

Table 11.

Efficiency summary

Decision unit	Integrated efficiency	Pure technical efficiency	Scale efficiency
1	0.737	0.398	0.933
2	0.576	0.765	0.945
3	0.733	0.695	0.935
4	0.545	0.789	0.967
5	1	1	1
6	1	1	1
7	0.866	0.995	0.998
8	0.742	0.703	1
9	1	1	1
10	0.902	1	0.943

4

Optimizing and improving operational strategies for oil and gas pipeline safety management

4.1

Establish and improve the information management system

For the existing management system hierarchical, advanced, practical insufficient defects, the relevant construction unit should establish and improve the new management system compatible with the informationization management [33]. First of all, the construction unit should be combined with the actual content of oil and gas pipeline project construction, based on which to complete the establishment of the relevant information technology management system, in the process of system construction, the construction unit should formulate a perfect information technology management processes and methods, and each person involved in information technology management, departments and their duties and responsibilities to determine the principle of accrual system into the entire management system. The principle of accrual system is integrated into the entire management system.

Secondly, while the formulation of the system is important, its implementation is also very important, and the implementation of the system mainly relies on specific practitioners. Therefore, in order to stimulate the enthusiasm of the personnel, the relevant units should formulate a perfect performance evaluation system and implement information management into it. In this process, should be based on the importance of employees in information technology management, the degree of participation in the targeted design of evaluation indicators to ensure the overall fairness, based on this comprehensive evaluation of employee performance. At the same time, the enterprise should also establish a more perfect reward and punishment mechanism, the work of major errors in the personnel to punish, to give material and spiritual rewards for good performance, which is to ensure that the information management related content can be successfully implemented on an important basis.

Finally, the relevant units should establish a perfect supervision system, the unit within the information technology management system for the specific implementation of dynamic supervision, and in practice, the content of its dynamic improvement, only in this way, to ensure that the information technology management system can have a strong practicality.

4.2

Strengthen the training of information technology management personnel

For the problem of insufficient information management personnel, the unit should take to strengthen the introduction and training of information management personnel to solve the problem. First of all, the relevant units should change the concept of senior personnel, through meetings and other means, so that they really recognize the important value of high-level talent for the information management of oil and gas pipeline project construction, and the training and introduction of talent into the strategic development of enterprises. Secondly, the relevant project department should increase the introduction of talent, focusing on the introduction of information technology management knowledge and relevant work experience of senior personnel, which can quickly improve the unit’s information technology management level in a short period of time. Finally, the relevant project department should increase the internal training of existing talents, should be willing to invest money, and give higher treatment to the outstanding performance of the talent, the high-quality talent to stay in the enterprise. Only to do the above points, the oil and gas pipeline project can have enough high-level talent, information management work can be carried out smoothly, and then enhance the quality of oil and gas pipeline project construction.

5

Conclusion

This paper evaluates the safety management effects of the construction project of the third line pipeline of West-East natural gas transmission using an information-based construction management system. Using principal component analysis to extract the two main components from the relevant influencing factors, the final comprehensive evaluation formula for project safety is F = 0.693F₁ + 0.307F₂. The comprehensive evaluation value of the oil and gas pipeline construction project using the informationized construction management system is higher than that of the traditional management of the construction of the 1, 2, 5, 4, respectively, 0.072, 0.295, 0.672, 0.688, indicating that the informationized construction management system is more effective and feasible in the process of safety management of the construction of the oil and gas pipeline. Pipeline construction safety management process focuses on effectiveness and feasibility. Combined with the DEA model to analyze the safety management efficiency, it is proposed that the safety management effect of oil and gas pipelines can be further strengthened by improving the informationized management system and strengthening the informationized management talents.

Idioma:: Inglés

Calendario de la edición:: 1 veces al año
Temas de la revista:: Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros

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Analysis of the Role of Informative Construction Management System in Improving the Safety of Oil and Gas Pipeline Construction and Its Efficiency

Huanjie Wei

Tongyu Wu

Jian Sun

Baozhu Zhang

Weiliang Wang

Publicado en línea: 17 mar 2025

Recibido: 07 nov 2024

Aceptado: 17 feb 2025

DOI: https://doi.org/10.2478/amns-2025-0317

Palabras claveDEA model, Principal component analysis, Informationized construction management system, Pipeline construction safety

© 2025 Huanjie Wei et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
DEA model, Principal component analysis, Informationized construction management system, Pipeline construction safety