Risk Identification and Safety Evaluation of Offshore Wind Power Submarine Cable Construction

Abstract

To mitigate accidents in submarine cable construction within the rapidly expanding offshore wind power sector, this study employed the analytic hierarchy process (AHP) and risk matrix method (LS) to assess the risks associated with identified factors. Based on project research and expert consultations, five primary and twenty-two secondary risk factors were identified. AHP was utilized to rank the primary risk factors by severity, probability, and detection difficulty, with the highest risk being the environmental impact, followed by third-party destruction and worker error. LS was applied to rank the secondary risk factors by likelihood and severity, with the highest risks being complex submarine topography, low underwater visibility, and fishing operations. The study proposes risk reduction measures based on these evaluations and offers methodological guidance for improving construction safety in similar enterprises.

1. Introduction

In response to global climate change, the prominence of new green energy sources has significantly increased [1,2,3]. Wind energy, as a key green and clean energy source, has seen substantial development [4,5,6]. Offshore wind power, in particular, offers distinct advantages over onshore wind power [7]. Recent years have witnessed a dramatic rise in the development of offshore wind power, especially in China [8]. As of 2023, global offshore wind power installations have reached 75 GW, with China accounting for 50% of this capacity. Figure 1 illustrates the historical development of offshore wind power installations both in China and globally (excluding China) [9].

Despite the abundant offshore wind energy resources, the increased likelihood of high winds at sea results in higher risks associated with offshore wind power [10]. Offshore floating wind turbines, as an emerging technology, remain underdeveloped [11]. Zhang et al. [11] evaluated the reliability of offshore wind turbine generators using system classification and fault tree analysis. Given the rapid expansion of offshore wind power and its potential impact on wildlife, Johnston et al. [12] proposed a method to generate species-specific flight height distributions to assess and mitigate the risk of bird collisions with offshore wind turbines. Wu et al. [13] utilized triangular fuzzy numbers and fuzzy comprehensive evaluation methods to develop a framework for assessing the risk of offshore wave-wind-solar-compressed air energy storage projects, identifying a medium-high risk level with the highest management and economic risks. In response to increasing accidents, Lian et al. [14] identified risk factors for offshore wind turbines using an improved fuzzy fault tree analysis method; evaluated risk factor weights through AHP; and verified risks during construction, utilization, survey, and design with case studies. Cheng et al. [15] developed an investment risk model for underwater equipment in offshore wind power, assessing and validating the best partners for transportation, construction, and installation in a case study in Taiwan. Due to differences in installation environments, Kazmi et al. [16] proposed a method to optimize the economic cost of offshore wind power plants using dynamic thermal ratings during the planning stage, exemplified by a UK offshore wind farm. Soukissian et al. [17] conducted the first joint coefficient of variation assessment for the combined development potential of offshore wind and solar energy using publicly available ERA5-analyzed data.

The installation of submarine cables for offshore wind power faces significant challenges due to their length, thickness, and lack of intermediate joints, making the process more complex than onshore cables [18,19]. The laying of submarine cables is central to offshore wind power construction and is complicated by diverse underwater environments and variable sea weather, which increase the risk of accidents [20,21]. Several studies have addressed the technical challenges associated with offshore wind power submarine cables [22]. Choi et al. [23] developed an automatic cable-laying device that replaces manual operations, enhances efficiency, and reduces the risk of accidents. Lux et al. [24] proposed a method to determine cable burial depth by measuring the surface temperature of the soil above the cable, which saves financial resources and has shown positive results in field tests. Perez-Rua et al. [25] introduced an optimization framework for submarine cable layout, leading to optimal and cost-effective paths. Mamatsopoulos et al. [26] created a tool for assessing submarine cable construction, enabling accurate calculation of safety factors required for construction. Collectively, these studies highlight ongoing innovations and technological advancements driving the growth and maturation of the offshore wind power sector.

In summary, the literature review indicates that while offshore wind power has advanced significantly, it has introduced new risks. Most studies on submarine cable construction focus on technical aspects. This paper employs the AHP and LS methods to evaluate risk factors in submarine cable construction and proposes targeted safety measures based on the evaluation results. Offshore wind power construction units can utilize the methods outlined in this paper to identify and assess risk factors and implement appropriate safety measures, thereby enhancing the safety of offshore wind power construction.

2. Methods

2.1. Analytic Hierarchy Process (AHP)

The AHP is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It was developed by Thomas Saaty in the 1970s [27,28,29,30]. AHP helps in breaking down a decision-making problem into a hierarchy of more easily comprehensible sub-problems, each of which can be analyzed independently [31,32,33,34].

(1)

Hierarchical analytical modeling

AHP begins with decomposing a decision problem into a hierarchy of interrelated decision criteria and sub-criteria.

(2)

Constructing a judgment matrix

The next step in AHP is to construct a pairwise comparison matrix to evaluate the relative importance of the elements at each level of the hierarchy. AHP uses a scale to express the preference or importance between pairs of elements. The scale typically ranges from 1 to 5, as described in

Table 1. Meaning of scale.

Scale	Meaning
1	Two factors are equally important
2	The former is slightly more important than the latter
3	The former is significantly more important than the latter
4	The former is strongly more important than the latter
5	The former is extremely more important than the latter
Reciprocal	The scale of factor Ai to factor Aj is aij, and vice versa, 1/aij

.

The judgment matrix is formed as shown in Equation (1):

$$A=\left[\begin{array}{cccc}{a}_{11}& a_{12}& \cdots & a_{1n}\\ a_{21}& a_{22}& \cdots & a_{2n}\\ ⋮& ⋮& \ddots & ⋮\\ a_{n1}& a_{n2}& \cdots & a_{nn}\end{array}\right]$$

(1)

(3)

Hierarchical ordering and testing

The product M_i of the elements of each row of the judgment matrix is calculated, as shown in Equation (2):

$$M_i={\prod }_{j=1}^n{b}_{ij} (i=\mathrm{1,2},3...n)$$

(2)

The nth root of M_i calculated is $\overline{W_t}$, as shown in Equation (3):

$$\overline{W_t}=\sqrt[n]{W_i}$$

(3)

The vector $\overline{W}=[\overline{W_1},\overline{W_2},...,\overline{W_n}]$ is normalized, as shown in Equation (4):

$${\mathrm{W}}_{\mathrm{i}}={\displaystyle \frac{\overline{W_t}}{{\sum }_{j=1}^n\overline{W_j}}}$$

(4)

The maximum eigenvalue ${\lambda }_{max}$ is calculated, as shown in Equation (5):

$${\lambda }_{max}={\displaystyle \frac{1}{n}}{\sum }_{i=1}^n{\displaystyle \frac{{\left(AW\right)}_i}{W_i}}$$

(5)

where ${\left(AW\right)}_i$ is the i-th element of vector AW, and AW represents the product of the judgment matrix and the normalization vector.

(4)

Consistency check

AHP requires checking the consistency of the judgments to ensure that the pairwise comparisons are reliable. The judgment matrix consistency ratio (CR) of less than 0.1 is acceptable. The calculation of CR is shown in Equation (6):

$$CR={\displaystyle \frac{CI}{RI}}$$

(6)

where CI is calculated as shown in Equation (7), and RI is calculated as shown in

Table 2. RI values corresponding to each order matrix.

n	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
RI	0	0	0.52	0.89	1.12	1.25	1.35	1.40	1.45	1.49	1.52	1.54	1.56	1.58	1.59

.

$$CI={\displaystyle \frac{{\lambda }_{max}-n}{n-1}}$$

(7)

where n is the order of the judgment matrix.

2.2. Risk Matrix Method (LS)

LS is a commonly used risk assessment method, mainly used to evaluate and identify potential hazards and their consequences. This method calculates the risk value (R) by multiplying the likelihood of an accident occurring by the severity of the consequences of the accident, as shown in Equation (8):

$$R=L\times S$$

(8)

where L represents the likelihood or probability of the risk occurring, and S represents the severity of the consequences if the risk occurs.

The range of values and definitions of L and S are shown in

Table 3. The values of L, S, and R.

Symbol	Value	Meaning
L	1	Almost never occurs
	2	Rarely occurs
	3	Occasionally occurs
	4	Frequent occurrence
S	1	Almost no loss
	2	Minor loss
	3	Moderate loss
	4	Serious losses
R	L < 2 and S < 2	Low risk
	L < 1 and 2 ≤ S; 1 ≤ L < 2 and 2 ≤ S < 3; 2 ≤ L < 3 and S < 2; 3 ≤ L and S < 1	General risk
	1 ≤ L < 2 and 3 ≤ S; 2 ≤ L <3 and 2 ≤ S; 3 ≤ L and 1 ≤ S < 3	Significant risk
	3 ≤ L and 3 ≤ S	Major risks

. Based on the values of L and S, the risk is classified into four levels as shown in Table 3.

3. Risk Identification

3.1. Construction Workflow

The construction process for offshore wind power submarine cables comprises three main phases: preparation, cable laying, and construction ending. The workflow for offshore wind power submarine cable construction is illustrated in Figure 2.

3.2. Risk Identification

Risk identification was based on the findings from the offshore wind power construction safety risk assessment project, which involved consulting expert opinions. The risk factors were systematically categorized into equipment factors, worker factors, environmental factors, management factors, and third-party destruction factors.

(1)

Identification of equipment failure risk sources

Cable-laying vessel malfunction: Failures of key equipment on cable-laying vessels, such as engines or rudders, can lead to a loss of control. This loss of control may result in collisions or drifting, thereby endangering the safety of construction personnel and equipment.

Cable-burying machine malfunction: During cable burial operations, any abnormalities in the cable burial machine can not only affect the overall construction progress but also lead to sudden injury accidents.

Monitoring equipment failure: The failure of construction monitoring equipment, including cameras and sensors, can impede the effective monitoring of construction progress and safety conditions, thereby increasing the risk of accidents.

Communication equipment failure: The failure of on-site communication equipment may create communication barriers among construction workers, significantly impeding emergency response and coordination and adversely affecting construction efficiency.

The lifting lock being broken: Breakage of locks during lifting operations can cause lifting equipment to malfunction, potentially resulting in lifting accidents. Additionally, such failure may damage cables or other related equipment and pose a serious threat to the operators’ personal safety.

(2)

Identification of worker error risk sources

Illegal operation: Construction workers’ behaviors, driven by factors such as disregard for regulations, eagerness for results, and unauthorized deviations from established operating procedures and safety norms, significantly increase the likelihood of accidents.

Not wearing protective equipment: Construction workers’ failure to adhere to equipment and personal protective equipment regulations—such as not wearing safety helmets or seat belts—exacerbates safety risks and increases the likelihood of injury.

Low technical level: Operators must possess a thorough understanding and practical experience in key tasks such as cable laying and equipment maintenance. Insufficient skills or operational errors can result in equipment damage, construction delays, and even personal injury.

Weak safety awareness: During submarine cable construction, personnel must maintain a high level of vigilance. Weak safety awareness can lead to carelessness, risky operations, and other unsafe behaviors, thereby increasing the likelihood of accidents.

(3)

Identification of environmental impact risk sources

Complex submarine topography: The complexity and variability of seabed terrain significantly increase the difficulty and risk associated with submarine cable construction. Factors such as the seabed slope can substantially impact the stability of submarine pipelines, affecting both their design and their construction. These factors are critical considerations that must not be overlooked.

Extreme weather: Changes in sea conditions can also influence offshore wind power construction in multiple ways, including variations in wind speed, wind direction, wave height, and tides. Such changes may disrupt construction activities.

High-humidity air: Air humidity, particularly in electrified operation scenarios, poses additional risks. High humidity can lead to safety hazards such as equipment short-circuits and the electrocution of operators, thereby exacerbating construction risks.

Underwater obstacles: Underwater obstacles, such as fishing nets and marine life, represent another safety hazard. These obstacles not only complicate construction efforts but also have the potential to damage construction equipment.

Low underwater visibility: Low visibility underwater restricts operators’ ability to observe environmental conditions and assess operational states, thereby increasing the risk of construction accidents. In turbid waters, accurately determining the location and depth of cable laying becomes challenging, highlighting the need for advanced detection and positioning equipment to ensure construction accuracy.

(4)

Identification of management defect risk sources

The device not having undergone a security check and routine safety inspections of construction equipment not having been implemented: Equipment essential for construction that does not undergo the required cycles of safety inspection and maintenance may result in equipment failure or accidents.

Working without a license: Welders, diving operators, and other construction personnel currently lack the necessary licenses for their respective roles. The absence of formal qualifications for welders and diving operators may compromise project quality and elevate safety risks.

The construction plan not having been demonstrated and the construction program lacking expert review: Without detailed validation by experts, the program may contain design flaws or safety hazards, leading to frequent issues during construction.

Not a trial voyage: The route exploration and sea trial verification for the cable route have not been conducted. The absence of sea trial verification may result in unforeseen seabed geomorphology or underwater obstacles, thereby increasing the risk of damage to construction vessels and equipment.

Improper torsion bar and other non-standard components: Non-standardized construction of facilities, such as the retractor frame, can lead to instability of construction equipment and elevate the risk of accidents.

(5)

Identification of third-party destruction risk sources

Fishing operations: Fishing vessels utilizing trawls, gillnets, or other fishing gear during their operations may accidentally damage or break marine cables that are either already installed or being laid. Such incidents could compromise the integrity and normal functioning of the marine cables.

Ship’s anchor: When a vessel is anchored, contact between the anchor chain or anchor body and a submarine cable—particularly under conditions of low visibility or at night—can result in significant physical damage to the cable.

Fish bites: In certain marine areas, particularly those with high fish abundance or specific fish populations, fish may interact with the cable sheath due to curiosity or accidental feeding.

4. Safety Evaluation

Based on the risk identification results used to develop the AHP model, the safety evaluation model for offshore wind power submarine cable construction is illustrated in Figure 3. This model identifies five first-level risk factors and twenty-two secondary-level risk factors.

4.1. First-Level Risk Factor Evaluation

To develop effective risk reduction measures, calculate the risk priority of failure modes by assessing the severity, probability, and detection difficulty.

4.1.1. Severity Analysis

Five experts with relevant experience were invited to a consultation meeting and asked to complete a survey questionnaire regarding the severity of first-level risk factors in offshore wind power submarine cable construction. The resulting severity judgment matrix is presented in

Table 4. (a) Expert 1’s judgment matrix. (b) Expert 2’s judgment matrix. (c) Expert 3’s judgment matrix. (d) Expert 4’s judgment matrix. (e) Expert 5’s judgment matrix.

(a)
Matrix 1	A1	A2	A3	A4	A5	Weight	Index
A1	1	2	2	4	4	0.3936	λmax = 5.056 CI = 0.014 CR = 0.012
A2	1/2	1	1	3	2	0.2135
A3	1/2	1	1	2	2	0.1968
A4	1/4	1/3	1/2	1	1/2	0.0810
A5	1/4	1/2	1/2	2	1	0.1151
(b)
Matrix 2	A1	A2	A3	A4	A5	Weight	Index
A1	1	3	2	4	5	0.4146	λmax = 5.139 CI = 0.035 CR = 0.031
A2	1/3	1	1/2	3	3	0.1799
A3	1/2	2	1	2	4	0.2423
A4	1/4	1/3	1/2	1	2	0.1011
A5	1/5	1/3	1/4	1/2	1	0.0621
(c)
Matrix 3	A1	A2	A3	A4	A5	Weight	Index
A1	1	2	1/3	1	2	0.1870	λmax = 5.189 CI = 0.047 CR = 0.042
A2	1/2	1	1/2	1/2	3	0.1526
A3	3	2	1	2	4	0.3786
A4	1	2	1/2	1	2	0.1999
A5	1/2	1/3	1/4	1/2	1	0.0818
(d)
Matrix 4	A1	A2	A3	A4	A5	Weight	Index
A1	1	2	1/3	4	2	0.2335	λmax = 5.160 CI = 0.040 CR = 0.036
A2	1/2	1	1/3	2	2	0.1551
A3	3	3	1	4	3	0.4210
A4	1/4	1/2	1/4	1	1/2	0.0732
A5	1/2	1/2	1/3	2	1	0.1173
(e)
Matrix 5	A1	A2	A3	A4	A5	Weight	Index
A1	1	5	2	4	3	0.4206	λmax = 5.193 CI = 0.048 CR = 0.043
A2	1/5	1	1/4	1/2	1/3	0.0619
A3	1/2	4	1	3	2	0.2654
A4	1/4	2	1/3	1	2	0.1296
A5	1/3	3	1/2	1/2	1	0.1224

a–e.

The CR for all five judgment matrices was below 0.1, indicating that they passed the consistency test. The weights listed in Table 4a–e represent the scores assigned by each expert regarding the severity of first-level risk factors. Each expert’s weight was set at 0.2, based on a total possible score of 15 points. The severity ranking is calculated and displayed in

Table 5. Calculate severity.

	Expert 1	Expert 2	Expert 3	Expert 4	Expert 5	Mean Value	Calculated Value
A1	0.3936	0.4146	0.1870	0.2335	0.4206	0.3298	4.9479
A3	0.1968	0.2423	0.3786	0.4210	0.2654	0.3008	4.5123
A2	0.2135	0.1799	0.1526	0.1551	0.0619	0.1526	2.2890
A4	0.0810	0.1011	0.1999	0.0732	0.1296	0.1170	1.7544
A5	0.1151	0.0621	0.0818	0.1173	0.1224	0.0997	1.4961

.

Table 5 shows that higher scores corresponded to more severe consequences for each level of risk factor in offshore wind power submarine cable construction. Equipment failure had the highest score of 4.9479, signifying that its consequences were the most severe. In contrast, third-party destruction had the lowest score of 1.4961, indicating that its impact on offshore wind power submarine cable construction was relatively minor.

4.1.2. Probability Analysis

Five experts with relevant experience were invited to a consultation meeting and asked to complete a survey questionnaire regarding the probability of first-level risk factors in offshore wind power submarine cable construction. The resulting probability judgment matrix is presented in

Table 6. (a) Expert 1’s judgment matrix. (b) Expert 2’s judgment matrix. (c) Expert 3’s judgment matrix. (d). Expert 4’s judgment matrix. (e) Expert 5’s judgment matrix.

(a)
Matrix 1	A1	A2	A3	A4	A5	Weight	Index
A1	1	1/3	1/4	2	1/2	0.1001	λmax = 5.065 CI = 0.016 CR = 0.015
A2	3	1	1/2	4	2	0.2642
A3	4	2	1	5	3	0.4189
A4	1/2	1/4	1/5	1	1/2	0.0679
A5	2	1/2	1/3	2	1	0.1489
(b)
Matrix 2	A1	A2	A3	A4	A5	Weight	Index
A1	1	1/2	1/3	1/2	1/2	0.0937	λmax = 5.276 CI = 0.069 CR = 0.062
A2	2	1	1/3	3	1/2	0.1654
A3	3	3	1	5	2	0.4005
A4	2	1/3	1/5	1	1/4	0.0932
A5	2	2	1/2	4	1	0.2471
(c)
Matrix 3	A1	A2	A3	A4	A5	Weight	Index
A1	1	1/3	1/4	1/2	1/5	0.0627	λmax = 5.072 CI = 0.018 CR = 0.016
A2	3	1	1	2	1/3	0.1852
A3	4	1	1	3	1/2	0.2322
A4	2	1/2	1/3	1	1/4	0.0993
A5	5	3	2	4	1	0.4206
(d)
Matrix 4	A1	A2	A3	A4	A5	Weight	Index
A1	1	1/2	1/3	1	1/2	0.1036	λmax = 5.086 CI = 0.021 CR = 0.019
A2	2	1	1/2	4	2	0.2524
A3	3	2	1	5	3	0.4079
A4	1	1/4	1/5	1	1/2	0.0806
A5	2	1/2	1/3	2	1	0.1555
(e)
Matrix 5	A1	A2	A3	A4	A5	Weight	Index
A1	1	1/3	1/2	2	1/3	0.1071	λmax = 5.262 CI = 0.065 CR = 0.058
A2	3	1	1	4	2	0.3250
A3	2	1	1	2	1/3	0.1881
A4	1/2	1/4	1/2	1	1/4	0.0716
A5	3	1/2	3	4	1	0.3082

a–e.

The CR for all five judgment matrices was below 0.1, indicating that they passed the consistency test. The weights listed in Table 6a–e represent the scores assigned by each expert regarding the probability of first-level risk factors. Each expert’s weight was set at 0.2, based on a total possible score of 15 points. The probability ranking is calculated and displayed in

Table 7. Calculate probability.

	Expert 1	Expert 2	Expert 3	Expert 4	Expert 5	Mean Value	Calculated Value
A3	0.4189	0.4005	0.2322	0.4079	0.1881	0.3295	4.9428
A5	0.1489	0.2471	0.4206	0.1555	0.3082	0.2561	3.8409
A2	0.2642	0.1654	0.1852	0.2524	0.3250	0.2384	3.5766
A1	0.1001	0.0937	0.0627	0.1036	0.1071	0.0934	1.4016
A4	0.0679	0.0932	0.0993	0.0806	0.0716	0.0825	1.2378

.

Table 7 illustrates that a higher score corresponded to a greater frequency of occurrence for each first-level risk factor in offshore wind power submarine cable construction. The risk factor of environmental impact had the highest score of 4.9428, signifying the greatest frequency of its occurrence. Conversely, management defects had the lowest score of 1.2378, indicating the least frequent occurrence of such defects.

4.1.3. Detection Difficulty Analysis

Five experts with relevant experience were invited to a consultation meeting and asked to complete a survey questionnaire regarding the detection difficulty of first-level risk factors in offshore wind power submarine cable construction. The resulting detection difficulty judgment matrix is presented in

Table 8. (a) Expert 1’s judgment matrix. (b) Expert 2’s judgment matrix. (c) Expert 3’s judgment matrix. (d) Expert 4’s judgment matrix. (e) Expert 5’s judgment matrix.

(a)
Matrix 1	A1	A2	A3	A4	A5	Weight	Index
A1	1	2	1/3	1/2	1/2	0.1231	λmax =5.194 CI = 0.049 CR = 0.043
A2	1/2	1	1/3	1/2	1/3	0.0855
A3	3	3	1	3	2	0.3761
A4	2	2	1/3	1	1/3	0.1511
A5	2	3	1/2	3	1	0.2646
(b)
Matrix 2	A1	A2	A3	A4	A5	Weight	Index
A1	1	1/2	1/2	1/4	1/5	0.0726	λmax =5.180 CI = 0.045 CR = 0.040
A2	2	1	1/2	1/2	1/3	0.1173
A3	2	2	1	2	1/2	0.2216
A4	4	2	1/2	1	1/3	0.1842
A5	5	3	2	3	1	0.4043
(c)
Matrix 3	A1	A2	A3	A4	A5	Weight	Index
A1	1	1/4	1/2	1/2	1/5	0.0707	λmax = 5.138 CI = 0.034 CR = 0.031
A2	4	1	1	2	1/3	0.2006
A3	2	1	1	3	1/2	0.2057
A4	2	1/2	1/3	1	1/4	0.1007
A5	5	3	2	4	1	0.4223
(d)
Matrix 4	A1	A2	A3	A4	A5	Weight	Index
A1	1	1/3	1/2	1/2	1/4	0.0792	λmax = 5.101 CI = 0.025 CR = 0.023
A2	3	1	3	2	1/2	0.2665
A3	2	1/3	1	1/2	1/3	0.1129
A4	2	1/2	2	1	1/2	0.1715
A5	4	2	3	2	1	0.3699
(e)
Matrix 5	A1	A2	A3	A4	A5	Weight	Index
A1	1	2	3	1/2	2	0.2449	λmax = 5.131 CI = 0.033 CR = 0.029
A2	1/2	1	1/2	1/3	2	0.1617
A3	1/3	1/2	1	1/3	1/2	0.0863
A4	2	3	3	1	3	0.3832
A5	1/2	1/2	2	1/3	1	0.1239

a–e.

The CR for all five judgment matrices was below 0.1, indicating that they passed the consistency test. The weights listed in Table 8a–e represent the scores assigned by each expert regarding the detection difficulty of first-level risk factors. Each expert’s weight was set at 0.2, based on a total possible score of 15 points. The detection difficulty ranking is calculated and displayed in

Table 9. Calculate detection difficulty.

	Expert 1	Expert 2	Expert 3	Expert 4	Expert 5	Mean Value	Calculated Value
A5	0.2646	0.4043	0.4223	0.3699	0.1239	0.3170	4.7550
A3	0.3761	0.2216	0.2057	0.1129	0.0863	0.2005	3.0078
A4	0.1511	0.1842	0.1007	0.1715	0.3832	0.1981	2.9721
A2	0.0855	0.1173	0.2006	0.2665	0.1617	0.1663	2.4948
A1	0.1231	0.0726	0.0707	0.0792	0.2449	0.1181	1.7715

.

Table 9 shows that a higher score correlated with greater difficulty in identifying the first-level risk factors in offshore wind power submarine cable construction. The risk factor of third-party destruction had the highest score of 4.755, indicating that it was the most challenging to detect. Conversely, equipment failure had the lowest score of 1.7715, suggesting that it was the easiest to detect among the risk factors.

4.1.4. Evaluate Results

The risk evaluation values for the five first-level risk factors—equipment failure, worker error, environmental impact, management defects, and third-party destruction—were determined by multiplying the evaluation values for severity, probability, and detection difficulty.

Table 10. Evaluation risk value.

	Severity	Probability	Detection Difficulty	Evaluation Risk Value
A3	4.5123	4.9428	3.0078	67.0842
A5	1.4961	3.8409	4.7550	27.3239
A2	2.2890	3.5766	2.4948	20.4245
A1	4.9479	1.4016	1.7715	12.2853
A4	1.7544	1.2378	2.9721	6.4543

presents the ranking of these risk evaluation values for the five risk factors.

A higher evaluation risk value indicated a greater priority for addressing risk factors. The evaluation results revealed that environmental factors posed the highest risk. During offshore wind power submarine cable construction, the aspect requiring the most attention was environmental impact, followed by third-party destruction and worker errors.

4.2. Secondary-Level Risk Factor Evaluation

Three experts with relevant experience were invited to a consultation meeting and asked to complete a survey on the likelihood and severity of secondary-level risk factors in offshore wind power submarine cable construction. The LS risk assessment derived from their evaluations is presented in

Table 11. LS risk assessment.

First-Level Risk Factor	Secondary-Level Risk Factor	L				S				R
		L1	L2	L3	L	S1	S2	S3	S
A1	B1	1	2	2	1.7	2	3	2	2.3	3.9
	B2	2	2	2	2.0	3	2	3	2.7	5.3
	B3	3	2	3	2.7	3	3	2	2.7	7.1
	B4	2	3	2	2.3	2	2	3	2.3	5.4
	B5	1	2	1	1.3	4	2	3	3.0	4.0
A2	B6	4	3	3	3.3	2	1	1	1.3	4.4
	B7	3	2	4	3.0	2	3	3	2.7	8.0
	B8	2	3	3	2.7	4	3	3	3.3	8.9
	B9	3	2	2	2.3	2	3	2	2.3	5.4
A3	B10	4	4	3	3.7	4	3	4	3.7	13.4
	B11	3	2	2	2.3	4	4	4	4.0	9.3
	B12	3	4	3	3.3	2	3	2	2.3	7.8
	B13	3	4	4	3.7	3	2	2	2.3	8.6
	B14	3	3	4	3.3	3	4	3	3.3	11.1
A4	B15	3	2	2	2.3	2	1	2	1.7	3.9
	B16	1	2	1	1.3	1	2	1	1.3	1.8
	B17	1	1	2	1.3	2	4	1	2.3	3.1
	B18	1	1	1	1.0	2	3	2	2.3	2.3
	B19	1	1	1	1.0	1	1	1	1.0	1.0
A5	B20	3	3	4	3.3	4	3	3	3.3	11.1
	B21	3	4	3	3.3	3	3	2	2.7	8.9
	B22	3	2	3	2.7	3	2	2	2.3	6.2

.

Based on the evaluation results for each secondary-level risk factor, a four-color risk matrix chart was created, as shown in Figure 4. Figure 4 uses a color-coded risk matrix where red indicates major risks, orange denotes significant risks, yellow signifies general risks, and blue represents low risks.

Among the 22 secondary-level risk factors, there were 3 major risks, 13 significant risks, 4 general risks, and 2 low risks. The key aspects requiring additional measures during the construction of offshore wind power submarine cables were complex submarine topography, low underwater visibility, and fishing operations, followed by 13 significant risks.

5. Discussion

The primary risk factor in offshore wind power submarine cable construction is environmental, reflecting the significant challenges posed by hazardous sea conditions. Increased investment in safety measures related to environmental factors is essential for mitigating these risks.

The assessment of secondary risk factors identifies three major risks: complex submarine topography, low underwater visibility, and fishing operations. Two of these are environmental, while one pertains to third-party interference. Of the four general risks identified, one is related to equipment, and three are associated with management. Additionally, the two low-risk factors are also related to management. These findings demonstrate that the secondary-level risk factor assessment aligns with the primary-level risk factor assessment.

Based on the risk assessment results, the following specific recommendations are proposed to enhance the safety of offshore wind power submarine cable construction:

(1)

Environmental monitoring

Conducting thorough research and evaluation of the marine environment is essential before commencing offshore wind power submarine cable construction. This ensures the development of targeted construction plans and facilitates smooth project execution. During the preparation phase, it is crucial for the construction unit to collect comprehensive on-site data, including the submarine topography, underwater conditions, and offshore weather. Observation instruments should be installed to gather measured data, which must then be statistically analyzed to inform appropriate construction measures. Additionally, marine environmental research should account for the uncertainties associated with marine meteorological changes.

(2)

Third-party destruction protection

Physical barriers, such as buoys, nets, and warning posts, are installed to prevent vessels and fishing gear from making direct contact with cables and to ensure these barriers can withstand harsh sea conditions. Employ advanced monitoring technologies, including underwater cameras, sonar detectors, and satellite positioning systems, to continuously track the environment around the cables and provide immediate alerts for potential threats. Develop comprehensive emergency plans and response procedures, and assemble professional teams to promptly address issues and minimize accidental losses. Enhance the dissemination and enforcement of relevant laws and regulations, imposing strict penalties for violations. Conduct safety education and training for fishermen to improve their awareness and understanding of protection measures. Establish a collaborative mechanism with fisheries and maritime departments to jointly formulate and implement effective protection strategies.

(3)

Worker training

All workers must undergo rigorous training and education prior to assuming their positions to improve their skill levels and safety awareness. The integration of advanced technologies, such as intelligent monitoring systems and automatic detection of protective equipment, is essential for enhancing construction safety through technological advancements. Additionally, it is crucial to strengthen on-site supervision by appointing dedicated personnel to perform both regular and ad hoc inspections of the construction site, promptly identifying and rectifying any issues.

(4)

Equipment improvements

Regular inspections of key equipment are essential to ensure optimal working conditions. It is important to develop comprehensive emergency plans for potential equipment failures and to organize specialized personnel for repairs. Additionally, maintaining an adequate inventory of spare parts for critical equipment is crucial. To enhance the construction team’s responsiveness and capability to manage equipment failures, ongoing training and simulation drills should be conducted.

(5)

Improvement of the level of management

Water construction projects necessitate the provision of life-saving equipment and the issuance of appropriate notices. It is essential to rigorously enforce a personnel qualification review system to ensure that all construction personnel possess the necessary professional certificates and qualifications. On-site supervision and inspection should be reinforced by establishing a dedicated supervision team responsible for both regular and ad hoc inspections of critical processes. Additionally, preconstruction training and briefings must be systematically strengthened. Implementing a robust reward and punishment mechanism is also crucial: violations should be addressed with severity, while outstanding performance should be duly recognized and rewarded.

As the risk factor increases, it becomes crucial to implement priority measures and increase safety investments. These steps can decrease the incidence of construction accidents and enhance overall safety.

6. Conclusions

Offshore wind power construction units can utilize the methods outlined in this paper to identify and assess risk factors and implement targeted safety measures based on these evaluations to enhance the safety of offshore wind power projects.

(1) The offshore wind power submarine cable construction process comprises three main phases: preparation, cable laying, and construction ending. Through project research and expert consultations, 5 primary risk factors and 22 secondary risk factors were identified.

(2) The AHP was employed to rank the primary risk factors based on severity, probability, and detection difficulty. The most significant risk identified was environmental impact, followed by third-party interference and worker error. The LS method was used to rank the secondary risk factors, categorizing them into 3 major risks, 13 significant risks, 4 general risks, and 2 low risks.

(3) Key areas requiring further attention in offshore wind power submarine cable construction include complex submarine topography, low underwater visibility, and fishing operations, with 13 significant risk factors also warranting consideration.