Transmission and transformation project construction cost assessment method and device

Abstract

The invention provides a transmission and transformation project construction cost assessment method and device. The transmission and transformation project construction cost assessment method comprises the following steps: input historical sample data of a transmission and transformation project are received; iterations, inertia weight, learning factors, particle velocity of a chaos particle swarm and the population size of the particle swarm are initialized to build a chaos particle swarm model; according to the chaos particle swarm optimization, parameters of the chaos particle swarm model are optimized; according to the historical sample data and the optimized chaos particle swarm model, optimal values of the iterations, inertia weight and learning factors of the chaos particle swarm model are determined; according to the determined optimal values of the iterations, inertia weight and learning factors, penalty coefficients, insensitive coefficients and kernel function parameters of a least square support vector machine model are determined respectively to build the least square support vector machine model; input actual sample data of the transmission and transformation project are received; according to the actual sample data of the transmission and transformation project and the built least square support vector machine model, a construction cost assessment result of the transmission and transformation project is generated.

Description

technical field [0001] The invention relates to the technical field of power transmission and transformation engineering, in particular to a method and device for cost evaluation of power transmission and transformation projects. Background technique [0002] The construction of power transmission and transformation projects generally has the characteristics of huge project investment, many fields involved, and complex influencing factors. Therefore, it has always been a difficult problem to control the construction cost of power transmission and transformation projects. The cost control of power transmission and transformation projects is based on the established cost target of the calculated and determined project cost and investment cost, strictly calculates, adjusts and supervises all costs in the cost formation process, reveals deviations, corrects them in time, and ensures the cost target realization. Therefore, in order to improve the utilization efficiency of resour...

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Problems solved by technology

[0014] The disadvantage of fuzzy mathematics is that the description of complex problems of engineering cost estimation is too simple, so the estimation results are naturally rough

The disadvantage of gray relational theory is that it overestimates the cost similarity of different projects, and the calculation error is large, which makes it difficult to meet the accuracy requirements of the current project cost estimation within 10%.

The disadvantage of neural network is that learning requires a large training sample size to ensure the robustness and convergence of the algorithm

The disadvantage of support vector machine is that the convergence speed is slow and the running time is long. In addition, the parameters are very sensitive to external changes and depend on experience.

[0015] Looking at the cost estimation methods mentioned above, most of them are still at a superficial level, either the application of the algorithm in a single aspect, or the lack of systematicness, or only applicable to engineering fields with large-scale historical engineering data. The cost estimation method of engineering data is basically not discussed in depth

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