Landscape design of garden plants based on green and low-carbon energy under the background of big data

Abstract

Data collection, which is characterized by large capacity, many types, fast access speed and high application value, was first used in the IT industry, and is now rapidly developing into the collection, storage and correlation of data with huge quantities, scattered sources and various formats. Analysis to discover new knowledge, create new value, and enhance new capabilities of a new generation of information technology and service formats. With the continuous advancement of development and construction, the problem of carbon dioxide emissions caused by large-scale development and rapid construction has become more and more prominent, resulting in global warming and the greenhouse effect, triggering the demand for low-carbon garden landscape construction. How to apply the concept of low-carbon construction to the planning and design of garden landscape is a problem that should be considered at present. Therefore, this paper proposes a research on landscape design of garden plants based on green and low-carbon energy in the context of big data. It first analyzes the energy efficiency problem in the era of big data, and then introduces the data envelopment analysis method in detail. After that, the green and low-carbon garden construction was planned, and the construction land, plant selection, materials and other aspects were analyzed. From the final experimental results, it can be known that through the planning and design of low-carbon urban landscaping, its net carbon emissions and carbon emissions have decreased significantly. Green space carbon emissions increased from 303,089.26 to 335,757.06, rising to 32,667.8, which proves the actual effect of low-carbon design and protects the local ecological environment.