Shenyang Institute of Automation,Chinese Academy Of Sciences
Not a member yet
23582 research outputs found
Sort by
Adaptive learning attention network for underwater image enhancement
No full textUnderwater images suffer from color casts and low illumination due to the scattering and absorption of light as it propagates in water. These problems can interfere with underwater vision tasks, such as recognition and detection. We propose an adaptive learning attention network for underwater image enhancement, named LANet, to solve these degradation issues. First, a multiscale fusion module is proposed to combine different spatial information. Second, we design a novel parallel attention module(PAM) to focus on the illuminated features and more significant color information coupled with the pixel and channel attention. Then, an adaptive learning module(ALM) can retain the shallow information and adaptively learn important feature information. Further, we utilize a multinomial loss function that is formed by mean absolute error and perceptual loss. Finally, we introduce an asynchronous training mode to promote the network's performance of multinomial loss function. Qualitative analysis and quantitative evaluations show the excellent performance of our method on different underwater datasets. The code is available at: https://github.com/LiuShiBen/LANet.</p
Sea-trial research on natural product-based antifouling paint applied to different underwater sensor housing materials
No full textBiofouling is a common challenge for underwater sensors, especially for long-term in situ monitoring in marine environments. In this study, we assessed the antifouling efficacy of a paint containing a natural product camptothecin (CPT) on six materials (316 L stainless steel, TC4 titanium alloy, 7075 aluminum alloy, polyoxymethylene, polyvinyl chloride, and Teflon), which are frequently used in the construction of underwater sensor housings. Additionally, a buoy-based sea-trial was performed to test the antifouling performance of the CPT-based paint on housings of three in situ sensors used for practical seawater monitoring applications, namely a spectrophotometer for chemical oxygen demand (COD) measurements and two fluorimeters for biochemical oxygen demand (BOD) and chlorophyll a (Chl a) concentration measurements. The results showed significantly lower macrofouling coverage on the areas painted with the CPT-based paint compared to the unpainted areas for each tested material over 9 months of seawater immersion. The CPT-based paint exhibited different antifouling performance for the different materials; in particular, it exhibited better antifouling performance on the plastic materials compared to the metal materials. Furthermore, when applied on submersible sensor housings in the sea-trial test, the CPT-based paint kept the housings of the COD sensor and the Chl a sensor clean for over 4 months. In addition, the paint prevented fouling of the BOD sensor housing even after 6 months of seawater immersion. Thus, our results suggest that the CPT-based paint could be used as a potential solution to control the biofouling of sensor housings for long-term in situ applications in marine environments.</p
面向焊接生产线的焊缝任务分配方法
No full text本发明涉及面向焊接生产线的焊缝任务分配方法，包括以下步骤：定义生产线焊接工位数量、分布、顺序等；定义产品焊缝任务数据(焊缝长度、焊接速度、优先顺序等)；根据焊接任务数据和焊接工位焊接设备状态(可用或不可用)，计算出生产线拉动所需的理论平均节拍；以理论平均节拍为基准，设定偏差值，根据焊缝优先顺序依次分配各工位焊缝任务，从而获得接近理论节拍的实际生产节拍和各工位的焊缝任务集合。本发明以焊接任务的均衡分配作为关键目标,通过调节偏差值,可给各个焊接工位安排生产任务，并使各工位焊接任务达到均衡，提高整个焊接生产线的生产效率
一种面向锂离子电芯制造的设备状态监测边缘计算架构
No full text本发明涉及锂离子单体电芯制造的设备状态体系结构，具体地说是一种面向锂离子单体电芯制造的设备状态监测边缘计算体系架构。本发明包括边缘感知层，用于管理高性能锂离子单体电芯的实际生产的过程，覆盖电极加工、电芯装配、化成测试三个主要工艺步骤；边缘接入层，用于实现设备的多方式接入，设备状态数据的预处理与存储，并发送至边缘服务层；边缘服务层，用于根据来自边缘接入层的数据进行设备状态的监测和维护，并进行生产控制，发送控制指令实现锂离子单体电芯制造的各设备操作。本发明实现了数据的处理和过滤，减轻了网络的流量压力，减少从设备到边缘服务层的数据流量，大大提高了设备状态监测和维护的效率
一种硅化物颗粒增强钛铝基复合涂层及其激光熔覆制备方法
No full text本发明涉及了一种硅化物颗粒增强钛铝基复合涂层及其激光熔覆制备方法。该发明采用半导体激光器通过对激光熔覆工艺参数优化和控制TiAl‑Si系涂层各成分及显微组织等途径制备出具有原位自生Ti5Si3颗粒(含量高达10～14％)增强钛铝基复合涂层，基底相主要为耐高温γ相，获得良好的综合表面性能。本发明通过有效的成分及组织调控和激光工艺参数优化有效降低了钛铝涂层表面开裂敏感性，制备的TiAl‑5Si复合涂层具有低密度、优良的耐磨性及高温抗氧化性，适合作为钛合金表面高温防护涂层
一种基于声学路标与光学路标组合辅助导航的水下机器人极地冰下回收方法
No full text本发明涉及一种基于声学路标与光学路标组合辅助导航的水下机器人极地冰下回收方法,包括：水下机器人冰下巡航过程中依靠自主导航系统向回收洞口航行时，通过航行路线上预置的水下光学二维码路标进行导航校准，逐步从远处向冰下回收洞口靠近；待水下机器人航行至回收洞口2km以内后，通过洞口吊放的声学路标进行持续的导航位置校准，并引导水下机器人自主向声学路标靠近；待水下机器人航行至洞口附近，光学传感器可见洞口下放的回收网，综合使用声学路标及光学路标信息引导水下机器人钻入回收网，此时自动停止机器人推进系统，等待起吊脱离水面，将水下机器人放置在隔板上，完成整个回收过程
Vibration and Reliability Analysis of Non-Uniform Composite Beam under Random Load
No full textNon-uniform structures and composite materials have advantages in engineering applications, such as light weight design, multi-functionality, and better buckling/flutter load capacity. For composite structures under dynamic loading conditions, reliability is a key problem to be analyzed during practical operations. However, there is little research work on non-uniform composite structural reliability analysis under random load. The forced vibration response of non-uniform composite beam under random load is firstly solved by the Adomian Decomposition Method (ADM) and iterative process for reliability analysis. Different variation laws of the cross-section rigidity and mass distribution along the length of the non-uniform composite beam structures are analyzed. Various angular frequency and amplitude of random base motion acceleration following Gaussian distribution are considered. Influences of different random excitations and structural design on vibration responses and reliability are studied. The larger mean and variance of excitation frequency leads to the smaller amplitude and strain of the beam, while greater mean and variance of the base motion excitation amplitude will induce the higher maximum amplitude and strain values and lower reliability. The influences of structural design on reliability are studied. The reliability increases with the increment of taper ratios of the host beam and composite layer. The iteration mathematical model and numerical solutions proposed in this paper can be used to solve and analyze vibration responses and reliability of general non-uniform composite beam structures under arbitrary excitation during a certain period of time
Trajectory planning of table tennis serving manipulators based on improved Particle Swarm Optimization
No full text在运动学约束下，为使得乒乓球发球机械手能够完成快速、连续、高精度的发球动作，以多项式插值轨迹规划法为基础，结合粒子群优化思想，提出了一种基于改进粒子群算法的多项式插值轨迹规划方法。通过对五自由度兵乓球发球机械手的运动学分析，获取路径点在关节空间中相对应的高精度位置后，采用多项式插值法规划机械手的运动轨迹，同时利用非线性变换的惯性权重和学习因子增强粒子群算法的搜索能力，借此来优化轨迹的运行时间，最终得到了连续、平滑且时间最优的运动轨迹。通过Matlab仿真结果对比，验证了该方法对乒乓球发球机械手进行轨迹规划的可行性和有效性。</p
Service Encapsulation Method Based on Industrial Internet
No full textBased on the analysis of software and hardware integration and highly heterogeneous infrastructure in the traditional industrial field, this paper puts forward the concept of service packaging engine, puts forward a unified service packaging model for Industry by using the Internet thinking design mode, and can complete the control of complex industrial field equipment by editing only simple logic in the programming interface. This article focuses on basic service encapsulation
高海拔环境科考站辅助值守机器人
No full text以青藏高原和南极冰雪高原为代表的高海拔极区科考对于开展地球与生命演化、全球气候变化等科学研究具有重要的科学意义和战略意义,是我国高度重视的重大科学工程.但目前高海拔科考活动仍然主要依赖人力开展,高海拔地区的极端气候气象、复杂环境地形和恶劣生存条件对人类活动影响巨大,严重制约了科考活动的深入程度.2017年,我国开展了第二次青藏高原科考,明确了"从流动式观测到长期固定观测.</p