针对云南省通海县蔬菜供应链中存在的产销信息孤岛效应显著、非结构化数据处理滞后以及冷链物流断链导致的损耗率居高不下等问题,提出一种基于人工智能物联网(Artificial Intelligence of Things,AIoT)技术的农业适配型供应链协同管理...针对云南省通海县蔬菜供应链中存在的产销信息孤岛效应显著、非结构化数据处理滞后以及冷链物流断链导致的损耗率居高不下等问题,提出一种基于人工智能物联网(Artificial Intelligence of Things,AIoT)技术的农业适配型供应链协同管理系统架构。该系统构建“端—边—云”三级协同架构,通过边缘侧数据清洗抑制高原强干扰环境下的传感器噪声,利用改进Arrhenius方程建立适配通海叶菜高呼吸速率特性的货架期预测模型,并以联盟链实现多主体可信溯源。在通海至广州典型线路的3个月试运行中,叶菜平均腐损率由12.4%降至4.6%,订单平均响应时间缩短约63.1%,单车平均净利润提高约39.3%。归因分析表明,损耗降低主要归功于边缘预警与动态调度的协同作用。该系统为高原特色农业数字化转型提供了兼顾技术适配与社会嵌入的工程化方案。展开更多
随着信息技术的飞速发展,人工智能与物联网(Artificial Intelligence of Things,AIoT)技术逐渐成为工程造价管理领域的新兴力量。文章深入探讨了AIoT技术在施工过程造价实时监控中的应用,旨在通过智能化的数据采集、处理与分析,提升造...随着信息技术的飞速发展,人工智能与物联网(Artificial Intelligence of Things,AIoT)技术逐渐成为工程造价管理领域的新兴力量。文章深入探讨了AIoT技术在施工过程造价实时监控中的应用,旨在通过智能化的数据采集、处理与分析,提升造价监控的效率与准确性,推动工程造价管理的智能化转型,为工程造价管理提供了新的思路和方法。展开更多
With the rapid development of the Artificial Intelligence of Things(AIoT),convolutional neural networks(CNNs)have demonstrated potential and remarkable performance in AIoT applications due to their excellent performan...With the rapid development of the Artificial Intelligence of Things(AIoT),convolutional neural networks(CNNs)have demonstrated potential and remarkable performance in AIoT applications due to their excellent performance in various inference tasks.However,the users have concerns about privacy leakage for the use of AI and the performance and efficiency of computing on resource-constrained IoT edge devices.Therefore,this paper proposes an efficient privacy-preserving CNN framework(i.e.,EPPA)based on the Fully Homomorphic Encryption(FHE)scheme for AIoT application scenarios.In the plaintext domain,we verify schemes with different activation structures to determine the actual activation functions applicable to the corresponding ciphertext domain.Within the encryption domain,we integrate batch normalization(BN)into the convolutional layers to simplify the computation process.For nonlinear activation functions,we use composite polynomials for approximate calculation.Regarding the noise accumulation caused by homomorphic multiplication operations,we realize the refreshment of ciphertext noise through minimal“decryption-encryption”interactions,instead of adopting bootstrapping operations.Additionally,in practical implementation,we convert three-dimensional convolution into two-dimensional convolution to reduce the amount of computation in the encryption domain.Finally,we conduct extensive experiments on four IoT datasets,different CNN architectures,and two platforms with different resource configurations to evaluate the performance of EPPA in detail.展开更多
针对沙滩水域环境复杂且难以有效清洁的问题,综合应用人工智能物联网(Artificial Internet of Things, AIoT)和视觉识别等先进技术,开发了一款具有远程控制、视觉识别、智能抓取、重量检测及智能显示等功能的多功能清洁机器人。该机器...针对沙滩水域环境复杂且难以有效清洁的问题,综合应用人工智能物联网(Artificial Internet of Things, AIoT)和视觉识别等先进技术,开发了一款具有远程控制、视觉识别、智能抓取、重量检测及智能显示等功能的多功能清洁机器人。该机器人专为提升清洁效率和自动化水平设计,配备了远程控制、视觉识别、智能抓取、重量检测及状态显示等功能。采用英伟达Jetson Nano作为核心处理器,结合Intel D415深度相机和基于FloW数据集训练的YOLOv8算法,实现水面漂浮垃圾的实时检测与精确定位。系统通过STM32微控制器解析视觉数据并控制机械臂完成精准抓取。为提高移动性能,机器人采用麦克纳姆轮实现全向运动,当内置称重传感器检测到收集装置满载时,系统可自主返回基地卸载垃圾。此外,系统集成HC-05蓝牙模块实现远程无线控制,并通过OLED显示屏实时显示工作状态。综合应用了AIoT、自动化控制及视觉识别技术,突破了传统清洁方式的局限,显著提升了沙滩水域清洁工作的效率和便捷性,为环保行动提供了强有力的工具。展开更多
文摘针对云南省通海县蔬菜供应链中存在的产销信息孤岛效应显著、非结构化数据处理滞后以及冷链物流断链导致的损耗率居高不下等问题,提出一种基于人工智能物联网(Artificial Intelligence of Things,AIoT)技术的农业适配型供应链协同管理系统架构。该系统构建“端—边—云”三级协同架构,通过边缘侧数据清洗抑制高原强干扰环境下的传感器噪声,利用改进Arrhenius方程建立适配通海叶菜高呼吸速率特性的货架期预测模型,并以联盟链实现多主体可信溯源。在通海至广州典型线路的3个月试运行中,叶菜平均腐损率由12.4%降至4.6%,订单平均响应时间缩短约63.1%,单车平均净利润提高约39.3%。归因分析表明,损耗降低主要归功于边缘预警与动态调度的协同作用。该系统为高原特色农业数字化转型提供了兼顾技术适配与社会嵌入的工程化方案。
文摘随着信息技术的飞速发展,人工智能与物联网(Artificial Intelligence of Things,AIoT)技术逐渐成为工程造价管理领域的新兴力量。文章深入探讨了AIoT技术在施工过程造价实时监控中的应用,旨在通过智能化的数据采集、处理与分析,提升造价监控的效率与准确性,推动工程造价管理的智能化转型,为工程造价管理提供了新的思路和方法。
基金supported by the Natural Science Foundation of China No.62362008the Major Scientific and Technological Special Project of Guizhou Province([2024]014).
文摘With the rapid development of the Artificial Intelligence of Things(AIoT),convolutional neural networks(CNNs)have demonstrated potential and remarkable performance in AIoT applications due to their excellent performance in various inference tasks.However,the users have concerns about privacy leakage for the use of AI and the performance and efficiency of computing on resource-constrained IoT edge devices.Therefore,this paper proposes an efficient privacy-preserving CNN framework(i.e.,EPPA)based on the Fully Homomorphic Encryption(FHE)scheme for AIoT application scenarios.In the plaintext domain,we verify schemes with different activation structures to determine the actual activation functions applicable to the corresponding ciphertext domain.Within the encryption domain,we integrate batch normalization(BN)into the convolutional layers to simplify the computation process.For nonlinear activation functions,we use composite polynomials for approximate calculation.Regarding the noise accumulation caused by homomorphic multiplication operations,we realize the refreshment of ciphertext noise through minimal“decryption-encryption”interactions,instead of adopting bootstrapping operations.Additionally,in practical implementation,we convert three-dimensional convolution into two-dimensional convolution to reduce the amount of computation in the encryption domain.Finally,we conduct extensive experiments on four IoT datasets,different CNN architectures,and two platforms with different resource configurations to evaluate the performance of EPPA in detail.
文摘针对沙滩水域环境复杂且难以有效清洁的问题,综合应用人工智能物联网(Artificial Internet of Things, AIoT)和视觉识别等先进技术,开发了一款具有远程控制、视觉识别、智能抓取、重量检测及智能显示等功能的多功能清洁机器人。该机器人专为提升清洁效率和自动化水平设计,配备了远程控制、视觉识别、智能抓取、重量检测及状态显示等功能。采用英伟达Jetson Nano作为核心处理器,结合Intel D415深度相机和基于FloW数据集训练的YOLOv8算法,实现水面漂浮垃圾的实时检测与精确定位。系统通过STM32微控制器解析视觉数据并控制机械臂完成精准抓取。为提高移动性能,机器人采用麦克纳姆轮实现全向运动,当内置称重传感器检测到收集装置满载时,系统可自主返回基地卸载垃圾。此外,系统集成HC-05蓝牙模块实现远程无线控制,并通过OLED显示屏实时显示工作状态。综合应用了AIoT、自动化控制及视觉识别技术,突破了传统清洁方式的局限,显著提升了沙滩水域清洁工作的效率和便捷性,为环保行动提供了强有力的工具。
