基于大数据嵌入式软件在物联网技术中的应用分析 -计算机科学与技术专业

摘要

随着物联网技术的飞速发展，大数据嵌入式软件在物联网中的应用日益广泛。本文旨在深入分析大数据嵌入式软件在物联网中的具体应用，探讨其面临的问题，并提出相应的对策。本文概述了大数据嵌入式软件与物联网技术的理论基础，详细分析了大数据嵌入式软件在物联网中的四大应用场景，然而，在实际应用过程中，大数据嵌入式软件也面临着数据质量与整合难题、实时性与准确性挑战、资源与能耗问题以及标准化与互操作性挑战等多重困境。针对这些问题，本文提出了一系列对策，包括加强物联网数据治理与标准化建设、优化大数据嵌入式软件的实时处理技术、设计低功耗的软件方案、积极参与物联网标准化制定工作等。这些对策旨在推动大数据嵌入式软件在物联网中的更广泛应用，促进物联网技术的持续创新和发展。

关键词：大数据嵌入式软件物联网数据质量

Abstract

With the rapid development of the Internet of Things technology, the application of big data embedded software in the Internet of Things is increasingly extensive. This paper aims to deeply analyze the application of big data embedded software in the Internet of Things, discuss the problems it faces, and put forward the corresponding countermeasures. This paper summarizes the theoretical basis of big data embedded software and Internet of Things technology, and analyzes the four application scenarios of big data embedded software in the Internet of Things in detail. However, in the actual application process, big data embedded software also faces multiple dilemmas such as data quality and integration problems, real-time and accuracy challenges, resource and energy consumption problems, standardization and interoperability challenges. In response to these problems, this paper proposes a series of countermeasures, including strengthening the construction of iot data governance and standardization, optimizing the real-time processing technology of big data embedded software, designing low-power software solutions, and actively participating in the formulation of iot standardization. These countermeasures aim to promote the wider application of big data embedded software in the Internet of Things and promote the continuous innovation and development of Internet of Things technology.

Keyword:Big Data embedded software Internet of Things Data quality

1绪论 1

1.1研究背景及意义 1

1.2国内外研究现状 1

2大数据嵌入式软件与物联网技术理论 1

2.1大数据嵌入式软件概述 1

2.2物联网技术基础 1

2.3大数据嵌入式软件与物联网的融合 2

3大数据嵌入式软件在物联网中的应用分析 2

3.1数据采集与处理 2

3.2数据存储与管理 3

3.3数据分析与决策支持 3