Construction progress resource automatic optimization method based on building information model

Abstract

The invention relates to a construction progress resource automatic optimization method based on a building information model, and the method comprises the following steps: preparing the building information model with building element types and main resource types, adding necessary information into a work package template database, and forming a plurality of needed work package templates; performing data integration on the basis of the building component type and the material type; and generating a progress resource optimization model by utilizing the constraint condition and the target function of the RCPSP, and solving to finish optimization of the construction progress resource. According to the method, the data integration and construction optimization efficiency can be greatly improved, and the construction scheme optimization time is shortened from several days to several hours.

Description

technical field [0001] The present invention relates to a method for resource optimization, in particular to a method for automatically optimizing construction progress resources based on a building information model. Background technique [0002] The resource-constrained project scheduling problem (RCPSP) is an important mathematical model for construction schedule resource optimization. RCPSP is an NP problem. Researchers use many heuristic algorithms to solve these problems, including heuristic algorithms based on priority rules such as simplified branch and bound method, local search technology, etc., and meta-heuristic algorithms, such as genetic algorithm, Particle Swarm Optimization and Tabu Search. For construction projects, many studies have established more complex problem models to meet actual needs, such as considering multi-projects, changing resource constraints, and considering resource constraints and time-cost trade-off (TCT) issues. Generally speaking, th...

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Problems solved by technology

[0008] 1) The RCPSP model is not complete enough and does not fully consider the 7 types of information for construction resource optimization

[0009] 2) The process of data integration and association is highly dependent on manual work, which is inefficient and error-prone

[0010] 3) Inability to make full use of existing engineering knowledge or experience such as standard processes

[0011] 4) The construction process of the schedule resource optimization model requires manual intervention, which is cumbersome and error-prone, and wastes a lot of time

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