Survey and Recommendations for Land Use of Agricultural Machinery Service Organization Facilities in Guizhou Province

With the advancement of agricultural modernization, agricultural machinery service organizations, as an important part of the rural operating entities, show an increasing trend year by year, and need new facilities land in the process of development and growth. Based on the written survey of 597 agricultural machinery service organizations in Guizhou Province, the demand and demand gap of various facilities land use in agricultural machinery service organizations were analyzed and compared. In addition, based on the field survey and policy background, the main practices and experiences of agricultural machinery service organizations in Guizhou Province in the approval and use of facility land were sorted out, and the problems and causes of large gap in facility agricultural land, lack of standards and difficulty in policy implementation were analyzed. Finally, it recommended that the site selection of agricultural machinery service organization facilities needs to be standardized, the land demand needs to be coordinated, the land scale needs to be scientifically demonstrated, and financial support should be sought to promote Guizhou agricultural machinery service organization to become bigger, better and stronger.

Research on Rotating Machinery Fault Diagnosis Based on Improved Multi-target Domain Adversarial Network

Aiming at the problems of low efficiency,poor anti-noise and robustness of transfer learning model in intelligent fault diagnosis of rotating machinery,a new method of intelligent fault diagnosis of rotating machinery based on single source and multi-target domain adversarial network model(WDMACN)and Gram Angle Product field(GAPF)was proposed.Firstly,the original one-dimensional vibration signal is preprocessed using GAPF to generate the image data including all time series.Secondly,the residual network is used to extract data features,and the features of the target domain without labels are pseudo-labeled,and the transferable features among the feature extractors are shared through the depth parameter,and the feature extractors of the multi-target domain are updated anatomically to generate the features that the discriminator cannot distinguish.The modelt through adversarial domain adaptation,thus achieving fault classification.Finally,a large number of validations were carried out on the bearing data set of Case Western Reserve University(CWRU)and the gear data.The results show that the proposed method can greatly improve the diagnostic efficiency of the model,and has good noise resistance and generalization.

A stepwise optimization method for topology structure of fluid machinery network

The circulating water system is widely used as the cooling system in the process industry,which has the characteristics of high water and power consumption,and its energy consumption level has an important impact on the economic performance of the whole system.Pump network and water turbine network constitute the work network of the circulating water system,that is,the fluid machinery network.Based on the previous studies,this paper proposes a stepwise method to optimize the fluid machinery network,that is,to optimize the network structure by using the recoverable pressure-head curve of the branch,and consider the recovery of adjustable resistance at the valve of each branch,so as to further reduce energy consumption and water consumption.The calculation result of the case shows that the topology structure optimization can further reduce the operation cost and the annual capital cost on the basis of the fixed structure optimization,and the total annualized cost can be reduced by 30.04%.The optimization result of different flow shows that both the pump network and the water turbine network tend to series structure at a low flow rate whereas to parallel structure at a high flow rate.

Weak Fault Feature Extraction of the Rotating Machinery Using Flexible Analytic Wavelet Transform and Nonlinear Quantum Permutation Entropy

Addressing the challenges posed by the nonlinear and non-stationary vibrations in rotating machinery,where weak fault characteristic signals hinder accurate fault state representation,we propose a novel feature extraction method that combines the Flexible Analytic Wavelet Transform(FAWT)with Nonlinear Quantum Permutation Entropy.FAWT,leveraging fractional orders and arbitrary scaling and translation factors,exhibits superior translational invariance and adjustable fundamental oscillatory characteristics.This flexibility enables FAWT to provide well-suited wavelet shapes,effectively matching subtle fault components and avoiding performance degradation associated with fixed frequency partitioning and low-oscillation bases in detecting weak faults.In our approach,gearbox vibration signals undergo FAWT to obtain sub-bands.Quantum theory is then introduced into permutation entropy to propose Nonlinear Quantum Permutation Entropy,a feature that more accurately characterizes the operational state of vibration simulation signals.The nonlinear quantum permutation entropy extracted from sub-bands is utilized to characterize the operating state of rotating machinery.A comprehensive analysis of vibration signals from rolling bearings and gearboxes validates the feasibility of the proposed method.Comparative assessments with parameters derived from traditional permutation entropy,sample entropy,wavelet transform(WT),and empirical mode decomposition(EMD)underscore the superior effectiveness of this approach in fault detection and classification for rotating machinery.

Exploration of Teaching Reform of Food Machinery and Equipment Course Based on New Engineering Concept

The new engineering concept aims to train high-quality engineering talents to meet the needs of future science and technology and industrial development through the reform of education and teaching.Under the background of"new engineering",by introducing cutting-edge knowledge of the industry and interdisciplinary integration,adopting innovative teaching methods such as project-driven teaching and flipped classroom,strengthening experimental teaching and school-enterprise cooperation,and establishing comprehensive evaluation and feedback mechanism,Food Machinery and Equipment course is reformed to improve the teaching quality and train high-quality engineering talents to meet the needs of modern food processing industry.

Interview with Alex Zucchi, President ofthe European Committee of Textile Machinery Manufacturers

CT:What do you think is the importance of the Chinese market for European manufacturers of textile machinery?Alex Zucchi:There is no doubt the Chinese market remains of primary importance to European textile machinery manufacturers:While it is acknowledged that the local producers have increased the quality of their machinery significantly in recent years,European textile technology manufacturers have been continuously investing in research to develop exciting innovations and to further improve existing technologies.Consequently,these new and more advanced technologies benefit not only Chinese manufacturers but the global textile industry.

Stäubli:Empowering textile machinery to promote sustainable development

Stäubli,with over a century of tech¬nology accumulation and process innovation,is at the forefront of rapid change in the global textile industry.With excellent textile machin-ery technology and expertise in mechatronics,Stäubli continues to bring efficient and reliable solutions to customers around the world。

Italian textile machinery orders remain stable in Q1 2024

For Italian textile machinery sector,2024 has begun without anything seemingly special.The first quarter has seen the orders index,as reported by the Economics Department of ACIMIT-the Association of Italian Textile Machinery Manufacturers-remain stationary compared to the same period the previous year.In absolute terms,the index came in at 61.2 points(basis:2021=100).

Technological Progress and Application Prospects of Unmanned Agricultural Machinery

With the continuous growth of the global population and the acceleration of urbanization,traditional agriculture faces severe challenges,such as labor shortages,low efficiency in agricultural resource utilization,and uncertainties caused by climate change.Unmanned agricultural machinery,as an integral part of smart agriculture,utilizes automation and intelligent technologies to achieve precise control over the entire agricultural production process,improving production efficiency,reducing labor costs,minimizing environmental impacts,and enhancing sustainability.In recent years,with advancements in information technology,artificial intelligence,and the Internet of Things,unmanned agricultural machinery has made significant technological progress and has gradually entered the commercialization stage.This study aims to analyze the technological advancements and development trends of unmanned agricultural machinery and explore its application prospects in practical production.By investigating this emerging technology,the research not only provides a theoretical foundation for agricultural technological innovation but also offers practical references for policymakers,agricultural enterprises,and practitioners.Particularly in the critical period of global agricultural transformation,research on unmanned agricultural machinery holds significant economic,environmental,and social value.

Contribution of Agricultural Machinery Automation to Sustainable Agricultural Development

With the rapid growth of the global population and the increasing challenges posed by climate change and labor shortages,traditional agricultural methods are becoming increasingly unsustainable.Agricultural machinery automation presents a promising solution by leveraging cutting-edge technologies such as artificial intelligence(AI),the Internet of Things(IoT),and robotics to enhance agricultural productivity,optimize resource utilization,and reduce environmental impacts.This study explores the evolution of agricultural machinery automation,the core technologies involved,and its applications in sustainable agriculture.Key benefits of automation include improved precision in farming practices,better resource efficiency,reduced environmental degradation,and enhanced economic sustainability.Despite its potential,several barriers hinder the widespread adoption of agricultural automation,including technological limitations,high initial costs,and regulatory challenges.This research also offers recommendations to accelerate the adoption of agricultural automation,including financial support,infrastructure development,and capacity building for farmers.As technological advancements continue,agricultural machinery automation is poised to play a critical role in shaping the future of sustainable agriculture.

基于电子商务环境的农机管理系统设计

介绍了电子商务环境的背景和现状,详细描述了农机管理系统的实际需求和业务流程,并根据系统设计原则设计了系统总体架构,最后从人机管理、作业管理及综合信息等3个方面实现了农机管理系统。系统在测试过程中取得了较好的应用效果,是一种具有广泛应用前景的高效农机管理系统。

原粮收储产业链农机水平提升的选型配套智能推荐策略

农业机械化水平是农业现代化的重要标志。为了实现原粮收储产业链的现代化、保障粮食数量和粮食安全,新型农业经营主体需要在政府的支持下打造原粮收储供应链集成服务体系,进而提升原粮收储供应链各环节的农机现代化水平和现代农机的配套水平。为此,首先通过问卷调查,得出东北三省主产区新型农业经营主体的基本特征、在原粮收储供应链各环节使用现代农机的水平,以及进行托管服务的特征;其次,明确瓶颈问题,包括收储环节的现代农机应用水平整体偏低、原粮收储产业链上全程机械化与收储销售环节现代机械的优化配置,以及新型农业经营主体以现代农机服务于原粮收储产业链的积极性不高等问题。最后,一是提出了农机水平提升的选型配套智能推荐策略,特点是通过构建农机配套选型数据库,利用深度学习算法组合,更加科学地推荐符合经济和生态效益的农机选型配套组合;二是提出了政府保障新型农业经营主体以现代农机服务于原粮收储产业链的利益补偿机制,包括运用专项补助、转移支付等形式支持村集体经济组织领办合作社、企业型家庭农场等,以实现土地规模化与农机队伍规范化;三是通过以奖代补激励新型农业经营主体贯彻收储供应链各环节现代农机的配套标准等。

建构教与学同构一体化的化工设备机械基础混合式教学模式探究

基于教与学同构一体化的教育理念,建立师生共同学习的教学理念,开展线上与线下、相互渗透的混合式教学。以化工设备机械基础课程为例,充分利用慕课、新型智慧教室、网上平台、竞赛比赛、虚拟仿真等丰富的教学资源,营造自主、合作、探究式学习环境,实现线上线下、课内课外互联互通。坚持问题导向,把抽象问题形象化;理论联系实际、贴近生活;渗透专业思想、反映学科前沿;融合课程思政,促进文理交融;课外知识拓展,强化创新能力;提高课程的高阶性、创新性,实现能力培育、价值提升、知识拓展的“三驾齐驱”的教学目标,落实立德树人的根本任务。

农机数字化大数据管理平台的设计——基于电子商务平台重复客户预测模型

随着信息技术和农机现代化的加速推进,数字化农机管理已成为当今农业发展的重要趋势。为此,基于电子商务平台重复客户预测模型,提出了一种基于Hadoop和物联网的农机数字化大数据管理平台,旨在将传统农业生产与信息技术有机结合,实现农机作业数据的实时监测、质量分析、预测与预警、决策支持等功能,为农机作业的自动化和精准化提供有力保障。

电机学课程思政教学探索与实践

基于工科专业入门基础课特点,分析思政教学存在的问题,从教学目标、教学体系和实施途径三方面开展课程思政教学研究与实践。在明确课程价值目标的基础上,将思政教育融入教学内容、教学手段和教学评价,构建融合思政教育的课程体系,通过教师团队、思政素材以及平台融合的建设实现课程知识传授与价值引领的统一。结合学生调查的结果,验证了课程建设方案的有效性,为工科基础课课程思政实施提供参考。

基于物联网和卷积神经网络的智能农机安全驾驶系统

基于物联网和卷积神经网络的智能农机安全驾驶系统是一种创新的农业技术应用,通过将农机设备的摄像装置连接到互联网上,实现对农机设备和驾驶员的实时监测和数据采集;再利用卷积神经网络技术对采集到的驾驶数据进行特征提取和驾驶行为分类与识别,实现对驾驶行为的自动监测和预警。实验结果表明:系统对驾驶行为的类别检测准确率较高,可以提高农机驾驶安全性和驾驶效率,为农业生产提供更加智能化和高效的服务。

基于车路协同的农机信息采集与通信技术应用研究

车路协同技术可以实现农机的智能调度、路径规划、远程监控等,提高农机作业效率和安全性。为了实现农业机械在复杂的农田环境中能够高效、快速地进行信息采集与交互,提出了一种改进的基于地理位置的路由协议算法,以车路协同的农机信息采集与路由技术理论为基础,对车路协同信息采集与通信技术的硬件机软件系统进行设计与选型,可以实现农业机械载体信息采集时间、速度、航向和经纬度等地理位置数据的获取。同时,提出并实现了一种改进的基于地理位置的路由算法,并通过田间试验验证系统运行的稳定性和可靠性,结果表明:提出的IGPSR算法具有更高的数据传输速率和耕地端时延迟,可为推动农机作业智能、高效发展提供技术参考。

基于物联网的农业机械远程监控与管理系统研究

近年来,物联网技术的迅速崛起为农业领域带来了新的变革机遇。物联网通过传感器、通信网络和智能处理技术,实现了物与物、人与物之间的互联互通,能够实时采集、传输和处理海量的数据信息。将物联网技术应用于农业机械领域,可以实现对农业机械全方位、智能化的远程监控与管理。本研究旨在研究基于物联网的农业机械远程监控与管理系统,从而提高农业机械的利用率和管理水平。

大棚蔬菜采摘运输设备的研究与设计

【目的】目前大棚蔬菜采摘设备存在人工劳动强度大、效率低、使用受限等问题,因此亟需研发一款性价比高的大棚蔬菜采摘助力装备。【方法】在大量实地调研和实践的基础上,设计了一种基于单片机控制的新型大棚蔬菜采摘运输设备。该设备主要由换垄机构、张紧机构、传送机构和支撑机构四部分组成,分析了该设备的总体设计思路,并详细阐述了各机构设计及关键技术和创新点。【结果】该运输设备具有结构简单、造价低、使用方便、机械化程度高、适应性强等特点,换垄机构不仅能实现宽度可调以适应不同垄宽,而且可以通过链传动实现机械换垄,同时采用“对对门”支撑,能有效防止钢丝绳下垂,方便菜筐通过。【结论】该大棚蔬菜采摘运输设备能极大程度降低人工劳动强度,提高采摘效率,具有很好的市场前景。未来还将研发自主识别采摘设备,实现大棚蔬菜采摘的全自动化,真正实现从“多人管一棚”到“一人管多棚”的转变。

Summary and Improvement Measures for Soil Compaction Caused by Machinery

As agricultural mechanization is becoming more and more popular, soil compaction, on basis of agricultural machinery, has become a serious problem that can not be ignored. Soil compaction, which is caused by frequent til age and large load in the field, may have different effects on various properties of soil. Soil com-paction may result in different conditions, such as increased soil density and the mechanical resistance, and decreased soil ventilation and the capacity of water holding and storage, but uptaking capacity of chemical elements is restricted. There-fore, soil compaction has some negative impacts on soil properties, physical y, chemical y, or biological y, as wel as plant growth. This research analyzed the cause and the harm of soil compaction in recent years, and some effective mea-sures were proposed to improve soil compaction, in order to reduce the extent of soil compaction caused by agricultural machinery.