Customs construction safety early warning method and device and storage medium

Abstract

The invention discloses a customs construction safety early warning method and device and a storage medium, and belongs to the technical field of construction engineering safety management. The method comprises the following steps: constructing an ANP network structure model of customs construction project safety risks, constructing a judgment matrix through expert scoring, and checking consistency; an ANP local weight is calculated, and a hypermatrix is constructed and solved to obtain a global weight fused with entropy weight method EWM correction; and based on an extension theory, establishing a risk matter-element model and a correlation function, performing extension operation in combination with a global weight, and outputting a dynamic risk level. According to the method, the defects that a traditional evaluation method cannot process network association among factors, weight subjectivity is high and risk state judgment is rigid are overcome, multi-dimensional, networked, dynamic and accurate early warning of customs construction project safety risks is achieved, integration with a three-dimensional visualization system is supported, and safety management efficiency is remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of construction project safety management and risk assessment technology, and in particular to a customs construction safety early warning method, equipment and storage medium that integrates Analytic Network Analysis (ANP), Entropy Weight Method (EWM) and Extenics. Background Technology

[0002] With the rapid development of international trade, the scale and complexity of infrastructure construction, such as customs ports, inspection stations, bonded warehouses, and supporting information platforms, are expanding daily. These customs construction projects are generally characterized by tight schedules, multi-disciplinary cross-operations, numerous participating units, and complex operating environments. In particular, safety risks are highly concentrated and accidents are prone to occur in key areas such as soft soil foundation treatment, deep foundation pit construction, high formwork, and large steel structure installation.

[0003] Currently, security management for customs construction projects largely relies on the personal experience and judgment of project managers and static security checklists. These traditional methods lack a systematic consideration of the complex interactions between risk factors and are insufficient for dynamic and proactive risk warnings. Although quantitative assessment methods such as the Analytic Hierarchy Process (AHP) have been applied to some extent, their inherent hierarchical structure assumes that factors are independent, failing to effectively address the networked dependencies and feedback relationships between risk factors in actual engineering projects. This leads to discrepancies between assessment results and the actual project conditions, making it difficult to meet the urgent needs of modern customs construction projects for dynamic and refined security management.

[0004] Therefore, there is an urgent need in this field for a comprehensive assessment method that can scientifically characterize the networked relationships between risk factors, integrate subjective and objective information, and enable dynamic identification and intuitive early warning of risk status, so as to improve the inherent safety level of customs construction projects. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a method, device, and storage medium for early warning of security risks in customs construction projects. This method aims to solve problems such as the inability of traditional risk assessment methods to handle network correlations between factors, the strong subjectivity of weight allocation, and the rigidity of risk status judgment, thereby achieving multi-dimensional, networked, dynamic, and accurate early warning of security risks in customs construction projects.

[0006] Technical solution To achieve the above-mentioned objectives, the present invention provides the following technical solution: a customs security early warning method, comprising the following steps: S1. Construct an ANP network structure model for the security risks of customs construction projects, and build a judgment matrix using expert scoring, followed by consistency verification. S2. Based on the judgment matrix that passed the consistency test in step S1, calculate the ANP local weight vector of each risk factor and combine them to form a weight matrix. S3. Based on the ANP structure model and the local weights obtained in step S2, construct an unweighted supermatrix and weight it using the weight matrix to obtain a weighted supermatrix. S4. Perform limit exponentiation on the weighted hypermatrix obtained in step S3 to obtain the limit sorting vector, which serves as the global weight of each risk factor. The calculation process of this global weight incorporates the entropy weight method (EWM) for objective correction. S5. Based on the theory of extensions, determine the risk object matrix, construct the correlation function, combine the global weights obtained in step S4, calculate the risk level of each assessment unit layer by layer through extension set operations, and output the comprehensive early warning result.

[0007] Preferably, in step S1, the consistency check requires a consistency ratio (CR) of less than 0.1. Preferably, in step S5, the risk level includes four levels: dangerous, relatively dangerous, relatively safe, and safe. Preferably, after step S5, step S6 is further included: linking the comprehensive early warning result with the three-dimensional building information model (BIM), using different colors to indicate the risk level in the visual monitoring interface, and pushing early warning information and handling suggestions.

[0008] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a customs construction security early warning method as described above.

[0009] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a customs construction security early warning method as described above.

[0010] Compared with the prior art, the technical solution provided by the present invention has the following significant advantages: 1. The assessment model is more realistic: By introducing the ANP model, the dependence and feedback relationships between various risk factors in customs construction projects are effectively characterized, breaking the assumption of factor independence in the traditional AHP method, and making the assessment model more consistent with the complex network structure characteristics of the engineering risk system.

[0011] 2. Scientific and balanced weight calculation: By combining the subjective expert judgment of ANP with the objective data traceability of EWM, the weights are comprehensively calculated and corrected, avoiding the limitations of a single weighting method. This makes the weight allocation both expert wisdom and data support, resulting in more scientific and accurate results.

[0012] 3. Dynamic and accurate risk identification: By utilizing extension theory, the incompatibility problem and dynamic transformation process in safety risk assessment are handled through matter-element model and correlation function, which realizes flexible classification and dynamic evolution identification of risk level, and improves the sensitivity and accuracy of early warning.

[0013] 4. Intuitive and efficient decision support: By linking and visualizing the abstract numerical assessment results with the 3D BIM model, the spatial location and level of risk are presented intuitively using color language, along with corresponding countermeasures, which greatly reduces the cognitive load of managers and improves decision-making efficiency and response speed. Detailed Implementation

[0014] The implementation process of the technical solution of the present invention will be further described in detail below with reference to a specific embodiment. It should be noted that the specific embodiment described herein is only for explaining the present invention and is not intended to limit the scope of protection of the present invention. Example

[0015] This invention is used as an example to illustrate the application of a customs port expansion project. This project includes typical high-risk operations such as deep foundation pit construction, high formwork support, and steel structure installation. The method described in this invention is employed for safety early warning assessment.

[0016] The first step is to construct the risk model and calculate the weights.

[0017] First, a team of domain experts systematically identified the primary risk criteria affecting the safety of the project construction, including: construction management, technical conditions, environmental impact, equipment status, and personnel competence. Based on this, 20 secondary risk indicators were further refined, and the interrelationships between these indicators were analyzed, constructing an ANP network structure model. Subsequently, an expert scoring method was used to compare the importance of each indicator pairwise, constructing a judgment matrix and ensuring all matrices passed the consistency test (CR < 0.1). Next, the ANP local weights of each risk factor were calculated, constructing an unweighted hypermatrix, which was then weighted using a combined weight matrix to obtain a weighted hypermatrix. Limit exponentiation was performed on this weighted hypermatrix to obtain the limit sorting vector, which represents the global weights of each risk factor, comprehensively considering the network relationships between factors and objective information entropy. This process is essentially a fusion application of ANP and EWM.

[0018] The second step is expansion risk assessment and early warning.

[0019] Based on extension theory, the risk level domain is defined as four levels: K1 (dangerous), K2 (relatively dangerous), K3 (relatively safe), and K4 (safe). A risk matter-element matrix is ​​constructed, containing risk indicators, values, and their risk levels, and corresponding correlation functions are established. The global weights calculated in the first step are combined with the actual monitoring or assessment data of each risk indicator, and the correlation degree between each indicator and each risk level is calculated through extension operations. Finally, through weighted synthesis, the comprehensive risk level of the entire project and key areas (such as the deep foundation pit work area) is obtained. For example, if the calculation result shows that the current comprehensive risk level is K2 (relatively dangerous), the system will issue a yellow warning signal accordingly.

[0020] The third step is visualization and decision support (an optional but recommended implementation).

[0021] The early warning results output from the second step are then linked with the engineering 3D BIM model built on platforms such as Revit via a data interface. On the visual monitoring dashboard, high-risk areas such as deep foundation pits are rendered with corresponding colors according to their risk levels (e.g., red represents danger, yellow represents moderate danger). Simultaneously, the system automatically pushes early warning information to the mobile terminals of management personnel, such as "The current risk level of the deep foundation pit area is moderate danger; it is recommended to strengthen slope displacement monitoring and drainage measures," thereby achieving closed-loop management from risk perception to decision support.

[0022] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for early warning of customs construction security, characterized in that, Includes the following steps: S1. Construct an ANP structure model for network analysis of security risks in customs construction projects, and build a judgment matrix using expert scoring, followed by consistency verification. S2. Based on the judgment matrix that passed the consistency test in step S1, calculate the ANP local weight vector of each risk factor and combine them to form a weight matrix. S3. Based on the ANP structure model and the local weights obtained in step S2, construct an unweighted supermatrix and weight it using the weight matrix to obtain a weighted supermatrix. S4. Perform limit exponentiation on the weighted hypermatrix obtained in step S3 to obtain the limit sorting vector, which serves as the global weight of each risk factor. The calculation process of this global weight incorporates the entropy weight method (EWM) for objective correction. S5. Based on the theory of extensions, determine the risk object matrix, construct the correlation function, combine the global weights obtained in step S4, calculate the risk level of each assessment unit layer by layer through extension set operations, and output the comprehensive early warning result.

2. The customs construction security early warning method according to claim 1, characterized in that, In step S1, the consistency test requires the consistency ratio CR to be less than 0.

1.

3. The customs construction security early warning method according to claim 1, characterized in that, In step S5, the risk level includes four levels: dangerous, relatively dangerous, relatively safe, and safe.

4. The customs construction security early warning method according to claim 1, characterized in that, The process after step S5 also includes: S6. Link the comprehensive early warning results with the three-dimensional building information model (BIM), use different colors to indicate the risk level in the visual monitoring interface, and push early warning information and handling suggestions.

5. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements a customs construction security early warning method as described in any one of claims 1 to 4.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements a customs construction security early warning method as described in any one of claims 1 to 4.