Highway engineering construction safety accident analysis method and system and medium

By constructing a topological structure model of the accident factor relationship, the problem of insufficient risk warning in the existing technology is solved, and multi-dimensional analysis of highway construction safety accidents and timely warning of high-risk accidents are achieved.

CN120655094APending Publication Date: 2025-09-16YULIN HIGHWAY BUREAU +1
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Patent Information

Application Number
CN202510738952.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-09-16

AI Technical Summary

Technical Problem

The existing highway engineering construction safety accident analysis method only associates the accidents that have occurred with the construction activities that may be affected, ignoring the complex effects of multiple factors, resulting in insufficient accuracy of risk warning.

Method used

Construct a topological structure model of the accident factor relationship, and through the association between accident nodes and factor nodes, use the product of influence weights to solve the probability values ​​of other accident items for multi-dimensional analysis and early warning.

Benefits of technology

Deeply explore accident correlations, identify hidden high-risk accident items, achieve timely warning and prevention, and provide comprehensive risk assessment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a highway engineering construction safety accident analysis method and system and a medium, and belongs to the technical field of safety accident analysis, and the method comprises the steps: determining a highway engineering construction safety accident item of an actual accident; screening other highway engineering construction safety accident items associated with the highway engineering construction safety accident item according to the accident factor relation topological structure model; and according to the first adjacent matrix and the second adjacent matrix of the accident factor relation topological structure model, solving probability values of occurrence of other highway engineering construction safety accident items through a product of influence weights, and according to the probability values, carrying out sorting and early warning on the other highway engineering construction safety accident items. According to the method, the association between construction safety accidents can be deeply excavated, hidden high-risk accident items can be obtained in time, and early warning and prevention can be well carried out.
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Description

Technical Field

[0001] The present invention relates to the technical field of safety accident analysis, and in particular to a method, system and medium for analyzing safety accidents in highway engineering construction. Background Art

[0002] Highway engineering accident analysis is a critical step in ensuring construction safety and improving project quality. Highway construction environments are complex and involve numerous factors. Failure to implement adequate safety controls can easily lead to accidents, resulting in casualties and property damage. By thoroughly analyzing the causes, impacts, and patterns of accidents, we can uncover potential safety hazards and provide a basis for developing targeted control measures.

[0003] Current methods for assessing highway construction safety accidents are significantly flawed. They often simply correlate existing accidents with other potentially impactful construction activities, using this information to assess risk and provide early warnings. However, they overlook the complex interplay of multiple construction factors underlying the accidents. Therefore, there is an urgent need to improve existing methods and introduce a multidimensional, comprehensive analysis mechanism. Summary of the Invention

[0004] To solve the above problems, the present invention provides a highway engineering construction safety accident analysis method, which can deeply explore the correlation between construction safety accident events, timely obtain hidden high-risk accident items, and provide early warning and prevention.

[0005] To achieve the above objectives, the present invention provides the following technical solutions.

[0006] A highway engineering construction safety accident analysis system includes the following steps:

[0007] Determine the highway construction safety accident items where actual accidents occurred;

[0008] Other highway construction safety accident items associated with the highway construction safety accident item are screened based on an accident factor relationship topological structure model; wherein the accident factor relationship topological structure model includes accident nodes of multiple highway construction safety accident items and factor nodes of the highway construction item causing the accident; influence weights are set from the factor nodes to the accident nodes, and the nodes are connected by undirected edges to form a first adjacency matrix between the factor nodes and the accident nodes; influence weights are set between the accident nodes, and the nodes are connected by directed edges to form a second adjacency matrix between the accident nodes;

[0009] According to the first adjacency matrix and the second adjacency matrix of the accident factor relationship topological structure model, the probability values ​​of other highway engineering construction safety accident items are solved by multiplying the influence weights, and other highway engineering construction safety accident items are ranked and warned according to the probability values.

[0010] Preferably, the construction of the accident factor relationship topological structure model includes the following steps:

[0011] Determine the accident nodes of multiple highway engineering construction safety accident items and the factor nodes of the highway construction items that caused the accidents;

[0012] Determine the degree of influence of each factor node on the highway construction safety accident in each highway construction safety accident item, sort them and assign influence factors, the sum of the influence factors is 1, and based on the preset influence factor threshold, calculate the influence weight between the factor node and the accident node according to the influence factor of each factor node, and obtain the first adjacency matrix between each factor node and the accident node based on the influence weight to form an undirected edge; among them, there are two highway construction safety accident items that share factor nodes;

[0013] According to the impact relationship between the accident nodes, directed edges between the accident nodes are formed, and the impact weights are determined to construct a second adjacency matrix;

[0014] According to a plurality of accident nodes and factor nodes, and the corresponding first adjacency matrix and second adjacency matrix, an accident factor relationship topological structure model is constructed.

[0015] Preferably, the accident nodes of the highway engineering construction safety accident items include height fall accidents, collapse accidents, object impact accidents, mechanical injury accidents, electric shock injury accidents, fire injury accidents and suffocation injury accidents; the factor nodes of the highway construction items that cause accidents include human factors, construction material factors, construction operation factors, construction technology factors, management factors, geological structure factors, environmental factors, engineering design factors and equipment factors.

[0016] Preferably, determining the influence of each factor node on the highway engineering construction safety accident in each highway engineering construction safety accident item, ranking and allocating the influence factor comprises the following steps:

[0017] Set the risk level assessment formula R = P × L;

[0018] Among them, R represents the risk level, P represents the probability of risk factors, and L represents the degree of loss;

[0019] Analyze the correlation between factor nodes and accident nodes based on historical data, calculate the probability of accident occurrence and the extent of loss, and determine P and L;

[0020] Calculate the R value of each factor node, sum up all R values, and get the total risk value R 总 ;

[0021] Divide each R value by R 总 , and obtain the normalized impact factor α i , αi =R i / R 总 .

[0022] Preferably, the method of calculating the influence weight between the factor node and the accident node according to the influence factor of each factor node based on a preset influence factor threshold, and obtaining the first adjacency matrix between each factor node and the accident node according to the influence weight, comprises the following steps:

[0023] Number the accident nodes and factor nodes, and determine the rows and columns of the first adjacency matrix;

[0024] According to the impact factor α i , calculate the influence weight w between each factor node and the accident node ij , set the impact factor threshold θ, where if α i ≥θ, then w ij =α i , and form an undirected edge; otherwise, w ij =0;

[0025] The calculated influence weight w ij Fill in the first adjacency matrix.

[0026] Preferably, forming directed edges between accident nodes according to the influence relationships between accident nodes, and determining the influence weights to construct a second adjacency matrix includes the following steps:

[0027] Analyze the mutual influence relationship between accident nodes and determine whether there is mutual influence;

[0028] If there is mutual influence, construct directed edges between accident nodes, and assign corresponding influence weights in both directions of the directed edges according to the mutual influence probability to construct the second adjacency matrix.

[0029] Preferably, the construction of the accident factor relationship topology model based on the plurality of accident nodes and factor nodes, and the corresponding first adjacency matrix and second adjacency matrix comprises the following steps:

[0030] Using the constructed adjacency matrix, the accident nodes and factor nodes as well as the directed edges between them are organized in the form of a topological structure, and a relational topological structure model is generated based on graph theory software.

[0031] Preferably, the first adjacency matrix and the second adjacency matrix of the accident factor relationship topological structure model are used to solve the probability values ​​of other highway engineering construction safety accident items by multiplying the influence weights, and the other highway engineering construction safety accident items are sorted and warned according to the probability values, including the following steps:

[0032] According to the accident factor relationship topological structure model, a plurality of factor nodes and a plurality of other accident nodes connected to the accident node causing the accident are determined;

[0033] According to the accident factor relationship topological structure model, other accident nodes connected to multiple factor nodes, and other factor nodes connected to other accident nodes are determined, and so on, multiple other accident nodes are obtained based on undirected edges and directed edges;

[0034] Using the influence weights in the first adjacency matrix and the second adjacency matrix, and based on the undirected edges and the directed edges, taking the product of the influence weights as a probability value representing the occurrence of each accident node related to the accident node where the accident occurred;

[0035] Determine the repeated accident nodes among all the accident nodes obtained by the first adjacency matrix and all the accident nodes of the second adjacency matrix, and retain the largest probability value among the multiple probability values ​​as the final probability value of the accident node;

[0036] Sort the final probability values, determine the priority of accident node warnings, set warning thresholds, and issue warnings for highway engineering construction safety accident items corresponding to accident nodes whose probability values ​​exceed the thresholds. Based on the warning results, take preventive and response measures.

[0037] The present invention also provides a highway engineering construction safety accident analysis system, the system comprising:

[0038] processor;

[0039] a memory having stored thereon a computer program executable on the processor;

[0040] Wherein, when the computer program is executed by the processor, the steps of the highway engineering construction safety accident analysis method according to any one of claims 1 to 8 are implemented.

[0041] The present invention also provides a computer-readable storage medium, on which a data processing program is stored. When the data processing program is executed by a processor, the steps of the highway engineering construction safety accident analysis method are implemented.

[0042] Beneficial effects of the present invention:

[0043] The present invention proposes a method for analyzing highway construction safety accidents. This method constructs a topological structure model of the accident factor relationship through the associations between accident nodes and factor nodes (cause of the accident), as well as the associations between accident nodes. Based on this topological structure model, one accident node can quickly obtain other associated hidden accident nodes, obtain high-risk accident items, and provide timely early warnings. The method introduces the associations between multiple accidents and factors, and concatenates the hidden associations between multiple high-risk accidents based on multiple shared factors. This method provides a more in-depth analysis of the cause of the accident, as well as a good probability analysis, to more comprehensively obtain subsequent high-risk accident items that are prone to occur, and provide early warnings and prevention measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of a method according to an embodiment of the present invention;

[0045] Figure 2 It is a topological structure diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0047] Example 1

[0048] The current method for judging safety accidents in highway engineering construction has obvious deficiencies. It often simply associates the accidents that have occurred with other construction activities that may be affected, and makes risk judgments and warnings based on this, but ignores the complex role of multiple factors behind the accidents. For example, deep-seated causes such as human operational errors, construction material defects, and management system loopholes have not been fully included in the scope of correlation analysis, making it difficult to reveal the hidden correlations between accident items. This limitation greatly reduces the accuracy of risk warnings and cannot provide comprehensive guidance for accident prevention. Therefore, there is an urgent need to improve existing methods and introduce a multi-dimensional and comprehensive analysis mechanism. To this end, this embodiment proposes a method for analyzing safety accidents in highway engineering construction. The specific steps are as follows: Figure 1 Shown, including:

[0049] S1: Determine the highway construction safety accident items where actual accidents occurred.

[0050] S2: Filter other highway engineering construction safety accident items related to the highway engineering construction safety accident item according to the accident factor relationship topological structure model.

[0051] S3: Based on the first adjacency matrix and the second adjacency matrix of the accident factor relationship topological structure model, the probability values ​​of other highway engineering construction safety accident items are solved by multiplying the influence weights.

[0052] S4: According to the accident factor relationship topology structure model, determine multiple factor nodes and multiple other accident nodes connected to the accident node that caused the accident.

[0053] S5: According to the accident factor relationship topological structure model, determine other accident nodes connected to multiple factor nodes, and other factor nodes connected to other accident nodes, and so on based on undirected edges and directed edges to obtain multiple other accident nodes.

[0054] S6: Using the influence weights in the first adjacency matrix and the second adjacency matrix, based on the undirected edges and the directed edges, the product of the influence weights is used as a probability value representing the occurrence of each accident node related to the accident node where the accident occurred.

[0055] S7: Determine the repeated accident nodes among all the accident nodes obtained from the first adjacency matrix and all the accident nodes from the second adjacency matrix, and retain the largest probability value among the multiple probability values ​​as the final probability value of the accident node.

[0056] S8: Sort the final probability values, determine the priority of accident node warnings, set warning thresholds, issue warnings for highway construction safety accident items corresponding to accident nodes whose probability values ​​exceed the thresholds, and take preventive and response measures based on the warning results.

[0057] This embodiment also provides steps for constructing a topological structure model of the accident factor relationship, including the following steps:

[0058] S2.1: Determine the accident nodes of multiple highway construction safety accident items and the factor nodes of the highway construction items that caused the accidents.

[0059] Specifically, the accident nodes for highway construction safety accidents include falls from height, collapses, impacts, mechanical injuries, electric shocks, fires, and suffocation. The factor nodes for highway construction accidents that cause accidents include human factors, construction materials, construction operations, construction technology, management, geological structure, environmental factors, engineering design, and equipment factors.

[0060] S2.2: Determine the degree of influence of each factor node on highway construction safety accidents in each highway construction safety accident item, sort them and assign influencing factors, and the sum of the influencing factors is 1.

[0061] S2.3: Based on the preset impact factor threshold, calculate the impact weight between the factor node and the accident node according to the impact factor of each factor node.

[0062] Specifically, set the risk level assessment formula R = P × L;

[0063] Among them, R represents the risk level, P represents the probability of risk factors, and L represents the degree of loss;

[0064] Analyze the correlation between factor nodes and accident nodes based on historical data, calculate the probability of accident occurrence and the extent of loss, and determine P and L;

[0065] Calculate the R value of each factor node, sum up all R values, and get the total risk value R 总 ;

[0066] Divide each R value by R 总 , and obtain the normalized impact factor α i , α i =R i / R 总 .

[0067] Further:

[0068] Number the accident nodes and factor nodes, and determine the rows and columns of the first adjacency matrix;

[0069] According to the impact factor α i , calculate the influence weight w between each factor node and the accident node ij , set the impact factor threshold θ, where if α i ≥θ, then w ij =α i , and form an undirected edge; otherwise, w ij =0;

[0070] The calculated influence weight w ij Fill in the first adjacency matrix.

[0071] S2.4: Obtain the first adjacency matrix of each factor node and the accident node based on the influence weight to form an undirected edge; among them, there are two highway engineering construction safety accident items sharing the factor node.

[0072] S2.5: Construct directed edges between accident nodes based on the impact relationships between accident nodes, determine the impact weights, and construct a second adjacency matrix.

[0073] Specifically, the mutual influence relationship between the accident nodes is analyzed to determine whether there is mutual influence; if there is mutual influence, a directed edge between the accident nodes is constructed, and the corresponding influence weights in the two directions of the directed edge are assigned according to the mutual influence probability to construct the second adjacency matrix.

[0074] S2.6: Construct a topological structure model of the accident factor relationships based on multiple accident nodes and factor nodes, as well as the corresponding first and second adjacency matrices. Using the constructed adjacency matrix, organize the accident nodes and factor nodes, as well as the directed edges between them, into a topological structure. Generate a topological structure model using graph theory software, which allows for a more intuitive visualization of the relationships between the nodes.

[0075] In this embodiment, there are multiple shared factors between different accidents, and these factors are often interrelated and influence each other. For example, illegal operations and weak safety awareness in human factors may not only lead to falls from heights and electric shocks, but may also cause object strikes and mechanical injuries; lax implementation of systems and lack of safety education in management factors are the deep-seated inducements for many accidents. Therefore, in the safety management of highway engineering construction, these shared factors should be focused on. This embodiment associates all relevant accident items through these shared factors, and is given relevant influencing factors. When specifically analyzing an accident, it can accurately give the related factors and accident items, and make early warning processing.

[0076] In this embodiment, the method is based on accident causation theory and constructs a topological structure model of accident factor relationships to deeply analyze the root causes of accidents and their correlations. The model is composed of accident nodes and factor nodes (i.e., the causes of accidents). Accident nodes represent existing or potential safety accidents, while factor nodes cover deep-seated causes such as human operational errors, construction material defects, and management system loopholes. By clarifying the relationship between accident nodes and factor nodes, as well as the mutual influence between different accident nodes, a complex and clear accident factor relationship network is formed.

[0077] In this topology, each accident node is connected to multiple other accident nodes through shared factor nodes, revealing hidden connections between high-risk accidents. For example, a factor node such as construction equipment failure may be associated with multiple accident nodes, such as mechanical injury accidents and fire accidents. Leveraging these connections, the model can quickly trace or predict other hidden related accident nodes from a single accident node, thereby identifying high-risk accidents and providing timely warnings.

[0078] The advantage of this method lies in its in-depth analytical capabilities. It is not merely satisfied with the causal analysis of a single accident, but rather introduces the correlation between multiple accidents and factors, connecting multiple high-risk accidents based on shared factors. Through probabilistic analysis, the model can comprehensively assess subsequent high-risk accident items that are prone to occur, providing a scientific basis for formulating targeted preventive measures. For example, in highway construction, if the model finds a factor node with irregular material stacking in a construction area, this node is not only associated with object impact accidents, but may also be further associated with suffocation injury accidents through shared factors (such as poor ventilation). Based on this in-depth correlation analysis, the model can provide early warnings, requiring construction workers to standardize material stacking and strengthen ventilation measures, thereby effectively preventing multiple accident risks.

[0079] The above is a highway engineering construction safety accident analysis method provided by one embodiment of this embodiment. Based on the same idea, this embodiment also provides a corresponding highway engineering construction safety accident analysis system. For the specific limitations of the highway engineering construction safety accident analysis system, please refer to the limitations of the highway engineering construction safety accident analysis method above, and will not be repeated here. Each module in the above-mentioned highway engineering construction safety accident analysis system can be implemented in whole or in part through software, hardware, and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0080] This embodiment also provides a computer-readable storage medium, which stores a computer program that can be used to execute the above Figure 1 Provided is a method for analyzing highway engineering construction safety accidents.

[0081] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0082] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A highway construction safety accident analysis method, characterized in that: The following steps are involved: Determine the highway construction safety accident items where actual accidents occurred; Other highway construction safety accident items associated with the highway construction safety accident item are screened based on an accident factor relationship topological structure model; wherein the accident factor relationship topological structure model includes accident nodes of multiple highway construction safety accident items and factor nodes of the highway construction item causing the accident; influence weights are set between the factor nodes and the accident nodes, and the nodes are connected by undirected edges to form a first adjacency matrix between the factor nodes and the accident nodes; influence weights are set between the accident nodes, and the nodes are connected by directed edges to form a second adjacency matrix between the accident nodes; According to the first adjacency matrix and the second adjacency matrix of the accident factor relationship topological structure model, the probability values ​​of other highway engineering construction safety accident items are solved by multiplying the influence weights, and other highway engineering construction safety accident items are ranked and warned according to the probability values.

2. The highway construction safety accident analysis method according to claim 1, characterized in that: The construction of the accident factor relationship topological structure model includes the following steps: Determine the accident nodes of multiple highway engineering construction safety accident items and the factor nodes of the highway construction items that caused the accidents; Determine the degree of influence of each factor node on the highway construction safety accident in each highway construction safety accident item, sort them, and assign influence factors. The sum of the influence factors is 1. Based on the preset influence factor threshold, the influence weight between the factor node and the accident node is calculated based on the influence factor of each factor node. The first adjacency matrix between each factor node and the accident node is obtained based on the influence weight to form an undirected edge. Wherein, there are two highway construction safety accident items that share a factor node. According to the impact relationship between the accident nodes, directed edges between the accident nodes are formed, and the impact weights are determined to construct a second adjacency matrix; According to a plurality of accident nodes and factor nodes, and the corresponding first adjacency matrix and second adjacency matrix, an accident factor relationship topological structure model is constructed.

3. The highway engineering construction safety accident analysis method according to claim 2, characterized in that: The accident nodes of the highway engineering construction safety accident items include height fall accidents, collapse accidents, object impact accidents, mechanical injury accidents, electric shock injury accidents, fire injury accidents and suffocation injury accidents; the factor nodes of the highway construction items that cause accidents include human factors, construction material factors, construction operation factors, construction technology factors, management factors, geological structure factors, environmental factors, engineering design factors and equipment factors.

4. The highway engineering construction safety accident analysis method according to claim 2 is characterized in that: The step of determining the degree of influence of each factor node on the highway engineering construction safety accident in each highway engineering construction safety accident item, ranking the factors and assigning the influence factors comprises the following steps: Set the risk level assessment formula R = P × L; Among them, R represents the risk level, P represents the probability of risk factors, and L represents the degree of loss; Analyze the correlation between factor nodes and accident nodes based on historical data, calculate the probability of accident occurrence and the extent of loss, and determine P and L; Calculate the R value of each factor node, sum up all R values, and get the total risk value Rtotal; Divide each R value by Rtotal to obtain the normalized impact factor αi, αi=Ri / Rtotal.

5. The highway engineering construction safety accident analysis method according to claim 4 is characterized in that: The method of calculating the influence weight between the factor node and the accident node according to the influence factor of each factor node based on the preset influence factor threshold and obtaining the first adjacency matrix between each factor node and the accident node based on the influence weight includes the following steps: Number the accident nodes and factor nodes, and determine the rows and columns of the first adjacency matrix; According to the impact factor αi, the impact weight wij between each factor node and the accident node is calculated, and the impact factor threshold θ is set. If αi ≥ θ, then wij = αi and an undirected edge is formed; otherwise, wij = 0; Fill the calculated influence weight wij into the first adjacency matrix.

6. The highway engineering construction safety accident analysis method according to claim 2, characterized in that: The step of forming directed edges between accident nodes according to the influence relationships between accident nodes and determining the influence weights to construct a second adjacency matrix includes the following steps: Analyze the mutual influence relationship between accident nodes and determine whether there is mutual influence; If there is mutual influence, construct directed edges between accident nodes, and assign corresponding influence weights in both directions of the directed edges according to the mutual influence probability to construct the second adjacency matrix.

7. The highway construction safety accident analysis method according to claim 2, characterized in that: The method of constructing an accident factor relationship topology model based on a plurality of accident nodes and factor nodes, and corresponding first adjacency matrix and second adjacency matrix, includes the following steps: Using the constructed adjacency matrix, the accident nodes and factor nodes as well as the directed edges between them are organized in the form of a topological structure, and a relational topological structure model is generated based on graph theory software.

8. The highway engineering construction safety accident analysis method according to claim 1, characterized in that: The method of calculating the probability of occurrence of other highway engineering construction safety accident items by multiplying the influence weights based on the first adjacency matrix and the second adjacency matrix of the accident factor relationship topological structure model, and sorting and issuing warnings for other highway engineering construction safety accident items based on the probability values, includes the following steps: According to the accident factor relationship topological structure model, a plurality of factor nodes and a plurality of other accident nodes connected to the accident node causing the accident are determined; According to the accident factor relationship topological structure model, determine other accident nodes connected to multiple factor nodes, and other factor nodes connected to other accident nodes, and so on, based on undirected edges and directed edges, to obtain multiple other accident nodes; Using the influence weights in the first adjacency matrix and the second adjacency matrix, and based on the undirected edges and the directed edges, taking the product of the influence weights as a probability value representing the occurrence of each accident node related to the accident node where the accident occurred; Determine the repeated accident nodes among all the accident nodes obtained by the first adjacency matrix and all the accident nodes of the second adjacency matrix, and retain the largest probability value among the multiple probability values ​​as the final probability value of the accident node; Sort the final probability values, determine the priority of accident node warnings, set warning thresholds, and issue warnings for highway engineering construction safety accident items corresponding to accident nodes whose probability values ​​exceed the thresholds. Based on the warning results, take preventive and response measures.

9. A highway construction safety accident analysis system, characterized in that: The system comprises: processor; a memory storing a computer program executable on the processor; Wherein, when the computer program is executed by the processor, the steps of the highway engineering construction safety accident analysis method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a data processing program, which, when executed by a processor, implements the steps of the highway engineering construction safety accident analysis method according to any one of claims 1 to 8.