CN-121981532-A - Pile engineering construction safety evaluation method and equipment

CN121981532ACN 121981532 ACN121981532 ACN 121981532ACN-121981532-A

Abstract

The invention provides a construction safety evaluation method and equipment for mountain piling engineering, belongs to the technical field of mountain piling engineering construction safety management, and relates to a mountain piling engineering construction safety evaluation method based on an improved acceleration genetic hierarchy analysis method, which is suitable for construction safety grade judgment and risk management and control of various mountain piling projects such as landscape mountain piling, geotechnical engineering mountain piling and the like. The invention constructs a safety evaluation index system adapting to the construction characteristics of the heap engineering, fully covers key risk factors, improves core parameters and processes of an acceleration genetic algorithm, improves objectivity and accuracy of weight calculation of a analytic hierarchy process, forms a closed loop evaluation system of index construction, weight optimization, safety grading and measure optimization, and provides accurate basis for the safety management and control of the heap engineering construction.

Inventors

YAN CHAO
SHAO LI
CHEN YOULIANG
WU KANG
Jia meichen
ZHENG YUANYUAN

Assignees

上海建工集团股份有限公司
上海理工大学
上海市建筑工程学校

Dates

Publication Date: 20260505
Application Date: 20260108

Claims (10)

1. The construction safety evaluation method for the mountain piling engineering is characterized by comprising the following steps of: constructing a construction safety evaluation index system of the mountain pile engineering, wherein the construction safety evaluation index system comprises a target layer, a criterion layer and an index layer; adopting an improved acceleration genetic analytic hierarchy process to obtain the optimal weight of each index in the final index set; based on the optimal weight of each index, improvement measures are proposed.
2. The method for evaluating the construction safety of the mountain pile engineering according to claim 1, wherein the base mountain pile engineering construction safety evaluation index system obtains a final index set, comprising: based on a pile engineering construction safety evaluation index system, indexes with importance coefficients larger than a preset threshold value are screened out by adopting a Delphi method through expert scoring, and a final index set is formed.
3. The method for evaluating the construction safety of mountain construction according to claim 1, wherein the obtaining of the optimal weights of the respective indexes in the final index set by using an improved accelerated genetic hierarchy analysis method comprises: Scoring the final index set by an expert in a 1-9 scale method to obtain an initial judgment matrix Ak of a kth expert; calculating the weight coefficient of each expert according to the seniority, project experience and title of each expert; based on the initial judgment matrix Ak and the weight coefficient of the expert, obtaining a comprehensive judgment matrix; Based on the comprehensive judgment matrix, obtaining the optimal weight of each index in the final index set by improving the acceleration genetic algorithm 。
4. The pile engineering construction safety evaluation method according to claim 3, wherein the obtaining of the comprehensive judgment matrix based on the initial judgment matrix Ak and the weight coefficient of the expert comprises: The formula of the comprehensive judgment matrix A is A= , Wherein ωk is the weight of the expert, A is the comprehensive judgment matrix, n is the number of the expert, and Ak is the initial judgment matrix of the kth expert.
5. The pile engineering construction safety evaluation method according to claim 3, wherein the optimal weight of each index in the final index set is obtained by improving an acceleration genetic algorithm based on a comprehensive judgment matrix Comprising: substituting Latin hypercube sampling method for random sampling in weight feasible domain Generating N initial populations in the same time, wherein m is the index number; constructing a multi-target fitness function; Genetic operation improvement is carried out to obtain a new population after iteration; Obtaining the optimal weight of each index based on the new population after iteration and the termination condition 。
6. The pile engineering construction safety evaluation method according to claim 5, wherein constructing the multi-objective fitness function comprises: The multi-objective fitness function is: , wherein CI is a consistency index, , R is a weight rationality index, and is calculated by the deviation between the actual risk contribution degree of the index and the weight, Ri is the actual risk contribution degree of the index, and is obtained through statistics of historical accident data, and alpha and beta are weight coefficients.
7. The method for evaluating the construction safety of mountain construction as claimed in claim 5, wherein the genetic operation is improved to obtain an iterated new population, comprising: selecting, namely randomly selecting 5 individuals to compete by adopting a tournament selection method based on N initial populations and a multi-target fitness function F, and selecting the individuals with the highest fitness to enter the next generation, so as to improve the retention rate of excellent individuals; The crossover operation comprises adopting self-adaptive crossover rate P c =0.8-0.2 (T/T), wherein T is the current iteration number, T is the maximum iteration number, the high crossover rate at the initial stage of iteration ensures diversity, and the low crossover rate at the later stage stabilizes the optimal solution; variation operation, namely adopting non-uniform variation, reducing variation step length along with iteration times, B is a shape parameter.
8. The pile engineering construction safety evaluation method according to claim 1, wherein the improvement measure is proposed based on the optimal weight of each index, comprising: The fuzzy comprehensive evaluation method is adopted, the expert scores Si of the indexes in the final index set of each index layer, and the formula is adopted Determining the security level corresponding to the comprehensive score S based on the security level division, wherein m is the total number of indexes; Weighting all indexes in the final index set optimally Sorting from high to low, and selecting the index with the top ranking as a key risk index; analyzing the score Si of the key risk index to obtain a key index with low score; And designing targeted improvement measures for key indexes with low scores by combining construction conditions and technical specifications of mountain piling engineering and the safety grade corresponding to the comprehensive score S.
9. A computer-readable storage medium having stored thereon computer-executable instructions, wherein execution of the computer-executable instructions by a processor causes the processor to perform the method of any one of claims 1 to 8.
10. A calculator device, comprising: processor, and A memory arranged to store computer executable instructions that, when executed, cause the processor to perform the method of any one of claims 1 to 8.

Description

Pile engineering construction safety evaluation method and equipment Technical Field The invention relates to a pile engineering construction safety evaluation method and equipment. Background The mountain piling engineering construction relates to a plurality of working procedures such as earth excavation, filler transportation, layered piling, slope protection and the like, is influenced by a plurality of factors such as personnel operation, mechanical state, material characteristics, environmental conditions, management level and the like, and has higher safety risk. The construction safety evaluation method commonly used in the industry at present mainly comprises a traditional analytic hierarchy process, a fuzzy comprehensive evaluation method and the like, but has the following defects: The traditional analytic hierarchy process relies on expert subjective judgment to construct a judgment matrix, weight determination is easy to be influenced by personal experience deviation, consistency test passing rate is low, adjustment process is complex, and is difficult to adapt to complex and changeable safety influence factors of a mountain piling project, the traditional method combining an acceleration genetic algorithm and the analytic hierarchy process lacks key indexes such as slope stability, packing compactness and the like specific to the mountain piling project on initial population generation and fitness function design, weight optimization precision is insufficient, and an evaluation index system does not fully cover the characteristics of 'high fill, large gradient and multiple dynamic operations' of the mountain piling project, so that evaluation results are low in matching degree with actual safety risks, and construction safety management and control are difficult to effectively guide. Therefore, there is a need for a construction safety evaluation method that can reduce subjective deviation, improve weight calculation accuracy, and adapt to pile engineering characteristics. Disclosure of Invention The invention aims to provide a method and equipment for evaluating construction safety of mountain piling engineering. In order to solve the problems, the invention provides a pile engineering construction safety evaluation method, which comprises the following steps: constructing a construction safety evaluation index system of the mountain pile engineering, wherein the construction safety evaluation index system comprises a target layer, a criterion layer and an index layer; adopting an improved acceleration genetic analytic hierarchy process to obtain the optimal weight of each index in the final index set; based on the optimal weight of each index, improvement measures are proposed. Further, in the above method, the base pile mountain engineering construction safety evaluation index system obtains a final index set, including: based on a pile engineering construction safety evaluation index system, indexes with importance coefficients larger than a preset threshold value are screened out by adopting a Delphi method through expert scoring, and a final index set is formed. Further, in the above method, an improved accelerated genetic hierarchy analysis method is adopted to obtain an optimal weight of each index in the final index set, including: scoring the final index set by the expert in a 1-9 scale method to obtain an initial judgment matrix Ak of the kth expert; calculating the weight coefficient of each expert according to the seniority, project experience and title of each expert; based on the initial judgment matrix Ak and the weight coefficient of the expert, obtaining a comprehensive judgment matrix; Based on the comprehensive judgment matrix, obtaining the optimal weight of each index in the final index set by improving the acceleration genetic algorithm 。 Further, in the above method, obtaining the comprehensive judgment matrix based on the initial judgment matrix Ak and the weight coefficient of the expert includes: The formula of the comprehensive judgment matrix A is A= , Wherein ωk is the weight of the expert, A is the comprehensive judgment matrix, n is the number of the expert, and Ak is the initial judgment matrix of the kth expert. Further, in the method, based on the comprehensive judgment matrix, the optimal weight of each index in the final index set is obtained by improving the acceleration genetic algorithmComprising: substituting Latin hypercube sampling method for random sampling in weight feasible domain Generating N initial populations in the same time, wherein m is the index number; constructing a multi-target fitness function; Genetic operation improvement is carried out to obtain a new population after iteration; Obtaining the optimal weight of each index based on the new population after iteration and the termination condition 。 Further, in the above method, constructing a multi-objective fitness function includes: The multi-objective fitness function is: , wherein C