针对当前城市清洁工作中存在的问题,如依赖人工清扫、缺乏智能分类功能等,本文提出了一种新型智能清扫车设计方案。该清扫车采用多模块化集成,包括封口更换模块、垃圾清扫模块、垃圾分类模块、高压雾化式喷雾模块、Linux for Tegra电子...针对当前城市清洁工作中存在的问题,如依赖人工清扫、缺乏智能分类功能等,本文提出了一种新型智能清扫车设计方案。该清扫车采用多模块化集成,包括封口更换模块、垃圾清扫模块、垃圾分类模块、高压雾化式喷雾模块、Linux for Tegra电子控制系统等,并通过Linux for Tegra电子控制系统进行集中控制。清扫车的工作原理基于自动驾驶系统,利用激光雷达和深度摄像头进行环境感知和路径规划,实现精准导航和智能避障。智能垃圾分类系统采用深度学习模型,结合高分辨率摄像头和近红外光谱分析仪,实现垃圾的快速识别与分类。展开更多
The work was carried out to study the uptake, storage and return of S in the evergreen broad-leaved forestecosystem of Hangzhou in Zhejiang Province, China, based on the annual increments of plants and S contentsper u...The work was carried out to study the uptake, storage and return of S in the evergreen broad-leaved forestecosystem of Hangzhou in Zhejiang Province, China, based on the annual increments of plants and S contentsper unit weight plant organs as well as the measured data about the biological return and decomposition.Results showed that the vegetation layer had an annual S uptake of 55.02kg ha￣(-1) , which accounted for 15.8% of the total S storage in the vegetation layer. The S uptake was the highest in the arbor layer but thelowest in the shrub layer. The biological return of S was 50% higher than the biological uptake, indicatingthe relatively high cycling efficiency of S. Nevertheless, S had a relatively low rate of biological release, so thatS trended to accumulate in the litter layer. S taken up by plants each year came mostly from precipitationand the reserve of soil.展开更多
This paper reveals the variations of S concentration among the leaf surface and other organs of variousplant species, and presents the distribution natures of S storage in the evergreen broad-leaved forest vege-tation...This paper reveals the variations of S concentration among the leaf surface and other organs of variousplant species, and presents the distribution natures of S storage in the evergreen broad-leaved forest vege-tation in Hangzhou on the basis of the tested data concerning plant S contents. The result was that theS concentrations on the tree leaf surfaces varied with the testing time and plant species. The range of Scontents in various organs of a plant was 2.086- 4.245 S g kg￣(-1), varying with plant species in this forest.The S content in the leaves was the highest, followed by that in the branches, trunks and roots, which showedthat there was an apical dominance of S distribution. The total amount of S storage in the vegetation wasas large as 349.97 S kg ha￣(-1). The S distribution in this vegetation had two characteristics as follows: 1)for the vegetation layers, arbor layer > renewal layer > herb layer > shrub layer; and 2) for the verticaldistribution per unit height (m), root stratum (0 - 0.20 m of soil depth)> stratum nearby the ground surface(0 - 0.5m) > canopy (4.0- 9.5m) > trunk stratum (2.0- 4.0m).展开更多
文摘针对当前城市清洁工作中存在的问题,如依赖人工清扫、缺乏智能分类功能等,本文提出了一种新型智能清扫车设计方案。该清扫车采用多模块化集成,包括封口更换模块、垃圾清扫模块、垃圾分类模块、高压雾化式喷雾模块、Linux for Tegra电子控制系统等,并通过Linux for Tegra电子控制系统进行集中控制。清扫车的工作原理基于自动驾驶系统,利用激光雷达和深度摄像头进行环境感知和路径规划,实现精准导航和智能避障。智能垃圾分类系统采用深度学习模型,结合高分辨率摄像头和近红外光谱分析仪,实现垃圾的快速识别与分类。
文摘The work was carried out to study the uptake, storage and return of S in the evergreen broad-leaved forestecosystem of Hangzhou in Zhejiang Province, China, based on the annual increments of plants and S contentsper unit weight plant organs as well as the measured data about the biological return and decomposition.Results showed that the vegetation layer had an annual S uptake of 55.02kg ha￣(-1) , which accounted for 15.8% of the total S storage in the vegetation layer. The S uptake was the highest in the arbor layer but thelowest in the shrub layer. The biological return of S was 50% higher than the biological uptake, indicatingthe relatively high cycling efficiency of S. Nevertheless, S had a relatively low rate of biological release, so thatS trended to accumulate in the litter layer. S taken up by plants each year came mostly from precipitationand the reserve of soil.
文摘This paper reveals the variations of S concentration among the leaf surface and other organs of variousplant species, and presents the distribution natures of S storage in the evergreen broad-leaved forest vege-tation in Hangzhou on the basis of the tested data concerning plant S contents. The result was that theS concentrations on the tree leaf surfaces varied with the testing time and plant species. The range of Scontents in various organs of a plant was 2.086- 4.245 S g kg￣(-1), varying with plant species in this forest.The S content in the leaves was the highest, followed by that in the branches, trunks and roots, which showedthat there was an apical dominance of S distribution. The total amount of S storage in the vegetation wasas large as 349.97 S kg ha￣(-1). The S distribution in this vegetation had two characteristics as follows: 1)for the vegetation layers, arbor layer > renewal layer > herb layer > shrub layer; and 2) for the verticaldistribution per unit height (m), root stratum (0 - 0.20 m of soil depth)> stratum nearby the ground surface(0 - 0.5m) > canopy (4.0- 9.5m) > trunk stratum (2.0- 4.0m).
