Coordinated scheduling of production and logistics for large-scale closed-loop manufacturing using Benders decomposition optimization

This paper studies coordinated scheduling of production and logistics for a large-scale closed-loop manufacturing system by integrating its manufacturing and recycling process. In addition to the forward manufacturing process, different recycling units in reverse recycling process are also studied. A decentralized network is designed to formulate the coordinated scheduling problem as a mixed integer programming model with both binary and integer variables. As the problem for closed-loop manufacturing is large-scale and computational-consuming in nature, the model is divided into integer variable sub-models and complex binary variable sub-models for preprocessing and reprocessing respectively. An iterative solution approach by Benders decomposition is developed to accelerate the solving efficiency in large-scale case by updating custom constraints. A case study is conducted to investigate the managerial implications of the decentralized network for the closed-loop manufacturing system. Computational experiments demonstrate the validity and efficiency of the proposed iterative solution approach for the large-scale scenarios.     

融合改进 Padim 建模和 ResNet 网络的 喷涂质量检测算法

为了满足喷涂机器人对于喷涂质量检测的需求,采用迁移学习对改进 Padim 建模和 ResNet 网络进行融合,构建自主喷 涂机器人喷涂质量检测一体化模型。 该模型提取一次图像特征可同时用于缺陷定位和分类。 在缺陷定位端,通过改进 Padim 模型以减少特征冗余所造成网络的计算消耗,首先将 ResNet-18 网络获取的 patch 嵌入向量语义层由原先前 3 层改为单 2 层,然 后特征表达由 100 维降维至 20 维,最后训练正样本得到正态分布模型与测试图像进行缺陷定位。 在缺陷分类端,对预训练 ResNet-18 网络进行负样本二次训练,得到 ResNet-18 分类模型对测试图像进行缺陷分类。 经过实验,将一体化模型移植在 jetson nano 移动端中,参数量仅为 11. 69 M,定位精度 94. 5%,分类准确率高达 99. 6%,在机器人位移速度 0. 02 m/ s 下检测时间 为 0. 730 s,不会出现缺帧漏检情况,满足实时检测的要求。     

Group-based multiple pipe routing method for aero-engine focusing on parallel layout

External pipe routing for aero-engine in limited three-dimensional space is a typical nondeterministic polynomial hard problem, where the parallel layout of pipes plays an important role in improving the utilization of layout space, facilitating pipe assembly, and maintenance. This paper presents an automatic multiple pipe routing method for aero-engine that focuses on parallel layout. The compressed visibility graph construction algorithm is proposed first to determine rapidly the rough path and interference relationship of the pipes to be routed. Based on these rough paths, the information of pipe grouping and sequencing are obtained according to the difference degree and interference degree, respectively. Subsequently, a coevolutionary improved differential evolution algorithm, which adopts the coevolutionary strategy, is used to solve multiple pipe layout optimization problem. By using this algorithm, pipes in the same group share the layout space information with one another, and the optimal layout solution of pipes in this group can be obtained in the same evolutionary progress. Furthermore, to eliminate the minor angle deviation of parallel pipes that would cause assembly stress in actual assembly, an accurate parallelization processing method based on the simulated annealing algorithm is proposed. Finally, the simulation results on an aero-engine demonstrate the feasibility and effectiveness of the proposed method.     

Stability Analysis and Antiwindup Design of Switched Linear Systems with Actuator Saturation

International Journal of Control, Automation and Systems - This paper investigates the stability analysis and anti-windup design problem for a class of switched linear systems with input saturation...     

区间二型模糊免疫PID在环己烷无催化氧化温度控制系统中的应用

环己烷无催化氧化过程具有非线性、多变量耦合、大时滞等特点,使用常规比例积分微分(PID)控制方案无法达到理想的控制性能。提出了一种区间二型模糊免疫PID控制器,其本质上是一种基于免疫PID的非线性控制器,利用区间二型模糊逻辑系统来逼近免疫反馈律中的非线性函数,以提升控制器处理和逼近复杂不确定非线性系统的能力。将所提出的控制器应用于环己烷无催化氧化温度控制系统,仿真结果表明该方法是有效的。     

A triheterometallic cluster: synthesis and structural characterisation of a cyclopentadienyl-substituted pentanuclear cluster based on an Os3CoRu metal core

The ionic coupling of the carbonyl cluster anion [Os₃Co(CO)₁₃]⁻ (1) with [Ru(η⁵-C₅H₅)(NCMe)₃]⁺ affords the new pentanuclear triheterometallic cluster Os₃CoRu(CO)₁₃(η⁵-C₅H₅) (2) as well as the known bimetallic cluster compounds HOs₃Ru(CO)₁₁(η⁵-C₅H₅) and Os₃Ru₂(CO)₁₁(η⁵-C₅H₅)₂. The crystal structure of cluster 2 shows that the metal framework is based on a trigonal bipyramid (approximate C_s symmetry) with the Ru, Co and an Os atom occupying the equatorial metal plane.     

基于参数间隔孪生支持向量机的增量学习算法

针对处理大量时间序列数据或数据流时,参数间隔孪生支持向量机（TPMSVM）分类训练速度依然较慢的问题．本文证明了样本满足TPMSVM的KKT条件所对应的数值条件,并根据结论提出一种适用于TPMSVM的增量学习算法用于处理时间序列数据．该算法选取新增数据中违背广义KKT条件和部分满足条件的原始数据,参加分类器训练．实验证明：本文提出的增量算法在保持一定分类精度的同时提高了TPMSVM的训练速度．     

Solar hydrogen evolution over native visible-light-driven Sn3O4

Low-cost semiconductor photocatalysts that can efficiently harvest solar energy and generate H₂ from water or alcohols will be critical to future hydrogen economies. Co-catalyst loading and/or doping of foreign element at host material have been crucial for semiconductor photocatalyst to produce significant H₂ evolution, so far. We synthesized native-visible-light driven Sn₃O₄ photocatalyst, which significantly catalyzed hydrogen evolution from various alcohol solutions under irradiation of visible light (λ > 400 nm), without co-catalyst. The H₂ production reaction proceeded through hydroxyalkyl radical reaction in the methanol solution. The apparent quantum yield was 0.4% for the Sn₃O₄ competitive to that of visible-light-sensitive co-catalyst loaded doped photocatalyst. The enhanced hydrogen evolution is attributed to the desirable band gap and band edge positions (CBM and VBM) of the Sn₃O₄ for H₂ production in visible light, which would originate from atomically layered structure of Sn₃O₄. The Sn₃O₄ material is good promising photocatalyst for solar hydrogen production from alcohols.     

L2-gain Analysis and Synthesis of Saturated Switched Linear Systems

International Journal of Control, Automation and Systems - The problem of L2-gain analysis and anti-windup compensators design is investigated for saturated switched linear systems via the single...     

A wearable and sensitive carbon black-porous polydimethylsiloxane based pressure sensor for human physiological signals monitoring

Journal of Materials Science: Materials in Electronics - Development of flexible, low cost, highly sensitive, and large-area compliance pressure sensors that can detect human physiological signals...