Concrete Management Monitoring System Based on Particle Swarm Algorithm

Abstract

With the rapid development of the national construction infrastructure industry, concrete structures often have various problems such as cracks in the early and later operations. The further development of these problems may endanger the structural safety of the entire building. The particle swarm algorithm is simple to operate, less parameter settings, easy to implement, etc., which can solve the problem of concrete monitoring. Based on this, the purpose of this article is to study the concrete management monitoring system based on particle swarm optimization. This article first summarizes the basic theory of particle swarm algorithm, and then extends its core algorithm technology. Analyze the existing problems and deficiencies in the current concrete structures in our country. And use particle swarm algorithm to research and analyze the concrete management monitoring system. This paper systematically describes the outline design and detailed design of the concrete management monitoring system based on particle swarm optimization. And by comparative method, field survey method and other research forms to carry out experimental research on the main body of this article. Research shows that the maximum absolute error of the crack width measured by the particle swarm optimization-based concrete management monitoring system W2 and the actual crack width W1 measured by the crack width comparison ruler is 0.232mm, which is less than 0.3mm, and the maximum relative error is 4.59%, to meet the system design requirements, which proves the rationality and effectiveness of the system.