自动化立体仓库消防给水设施设计探讨

立体仓库采用智能化出入库管理,集自动入库、智能化储存和自动化出库于一体,物品高度集中,火灾负荷集中的建筑。立体仓库的消防给水设施是其中重要的消防设施之一,本文主要分析立体仓库消防水系统的设计及参数的选择。     

机载通信电台通电老炼检测系统设计与实现

为保证航材备件的完好率，解决仓储机载通信电台长期不通电导致的装备性能下降甚至出现故障的问题，综合运用自动测试、虚拟仪器、面向信号设计等技术，以计算机为核心，以PXI仪器、GPIB仪器为依托，以多种总线接口为纽带，构建了一种可靠性高、通用性好、操作简便、可扩展性强的自动化通电老炼平台。通过在航材仓库中使用，证明该电台老炼检测系统降低了仓储通信电台的失效率，提高了仓储电台的完好率。     

An AW-HARIS Based Automated Segmentation of Human Liver Using CT Images

In the digestion of amino acids, carbohydrates, and lipids, as well as protein synthesis from the consumed food, the liver has many diverse responsibilities and functions that are to be performed. Liver disease may impact the hormonal and nutritional balance in the human body. The earlier diagnosis of such critical conditions may help to treat the patient effectively. A computationally efficient AW-HARIS algorithm is used in this paper to perform automated segmentation of CT scan images to identify abnormalities in the human liver. The proposed approach can recognize the abnormalities with better accuracy without training, unlike in supervisory procedures requiring considerable computational efforts for training. In the earlier stages, the CT images are pre-processed through an Adaptive Multiscale Data Condensation Kernel to normalize the underlying noise and enhance the image’s contrast for better segmentation. Then, the preliminary phase’s outcome is being fed as the input for the Anisotropic Weighted–-Heuristic Algorithm for Real-time Image Segmentation algorithm that uses texture-related information, which has resulted in precise outcome with acceptable computational latency when compared to that of its counterparts. It is observed that the proposed approach has outperformed in the majority of the cases with an accuracy of 78%. The smart diagnosis approach would help the medical staff accurately predict the abnormality and disease progression in earlier ailment stages.     

两种多层穿梭车系统的性能比较分析

物流配送中心订单响应速度的加快,对订单拣选系统提出了更高的要求。多层穿梭车系统因其柔性强、效率高等特点,近年来得到了广泛应用。多层穿梭车系统具有两种形式--基于转载车和基于环形输送线,二者均可实现货物的快速拣选,但在系统吞吐量和订单完成周期方面存在差异,致使企业决策者难以进行系统选择。基于上述原因,本文比较两种多层穿梭车系统的性能差异。建立两个系统的开环排队网络模型,然后求解系统吞吐量、订单完成周期,通过仿真验证了排队论模型的准确性,通过试验对两种系统的性能进行对比分析。结果表明,系统吞吐量与层数、巷道数相关,层数越多,巷道数越少,转载车系统相对于环线系统优势越显著;订单完成周期与层数、订单到达率相关,层数越多,订单到达率越低,转载车系统相对于环线系统越具优势。     

Simplified automatic fault detection in wind turbine induction generators

This paper presents a simplified automated fault detection scheme for wind turbine induction generators with rotor electrical asymmetries. Fault indicators developed in previous works have made use of the presence of significant spectral peaks in the upper sidebands of the supply frequency harmonics; however, the specific location of these peaks may shift depending on the wind turbine speed. As wind turbines tend to operate under variable speed conditions, it may be difficult to predict where these fault‐related peaks will occur. To accommodate for variable speeds and resulting shifting frequency peak locations, previous works have introduced methods to identify or track the relevant frequencies, which necessitates an additional set of processing algorithms to locate these fault‐related peaks prior to any fault analysis. In this work, a simplified method is proposed to instead bypass the issue of variable speed (and shifting frequency peaks) by introducing a set of bandpass filters that encompass the ranges in which the peaks are expected to occur. These filters are designed to capture the fault‐related spectral information to train a classifier for automatic fault detection, regardless of the specific location of the peaks. Initial experimental results show that this approach is robust against variable speeds and further shows good generalizability in being able to detect faults at speeds and conditions that were not presented during training. After training and tuning the proposed fault detection system, the system was tested on “unseen” data and yielded a high classification accuracy of 97.4%, demonstrating the efficacy of the proposed approach.     

A composite cost model for the aeronautical industry: Methodology and case study

This paper presents a novel composite production cost estimation model. The strength of the model is its modular construction, allowing for easy implementation of different production methods and case studies. The cost model is exemplified by evaluating the costs of a generic aeronautical wing, consisting of skin, stiffeners and rib feet. Several common aeronautical manufacturing methods are studied. For studied structure, hand layup is the most cost-effective method for annual volumes of less than 150 structures per year. For higher production volumes automatic tape layup (ATL) followed by hot drape forming (HDF) is the most cost-effective choice.     

Group decision support system for backbone-network reconfiguration

Modern power system is unprecedentedly vulnerable and the society is exposed to higher blackout risks. Therefore restoration is a key issue to power systems. Reasonable backbone-network reconfiguration is necessary for re-establishing the network and restoring loads quickly. In order to speed up network reconfiguration under security constraints, a group decision support system (GDSS) is developed. A unified data platform based on data warehouse is constructed to resolve inconsistencies of data, information and models. A three-stage restoration strategy and a two-layer restoration path searching method are proposed to establish restoration schemes. Multiple attribute decision-making is implemented to evaluate alternatives and consider various attributes about restoration speed and system security comprehensively. Group decision-making provides an aggregated cardinal ranking of candidate restoration schemes. The GDSS uses expert rules for qualitative analysis and numerical computation programs for quantitative analysis, and it can resolve the semi-structured decision problem of network reconfiguration efficiently. Restoration plan of Shandong power grid is developed with the proposed method and it has been adopted by State Grid Shandong Electric Power Company. Performance results of Shandong power grid of China demonstrate the feasibility and flexibility of the method.     

水泥联合（半终）粉磨系统管磨机一仓仓长的探讨

在水泥管磨机前应用高效率料床粉磨设备辊压机或外循环立磨预处理工艺的前提下,根据配置不同分级机分级后的入磨物料颗粒粒径、易磨性、综合水分及熟料温度等工艺参数,后续管磨机必须选择相对科学合理的仓位比例,以实现磨内磨细与水泥颗粒的整形。磨内各仓有效长度参数能否合理选取,对管磨机段产量、质量与系统粉磨电耗影响较大,这个具有普遍性的问题,在生产过程中往往容易被忽视。由于一仓粗粉碎(磨)能力是决定管磨机系统产量的重要因素之一,而系统产量与粉磨电耗关系密切,故一仓有效长度L1的选择极其重要。在被磨材料特性、磨前预处理工艺及磨内配置与研磨体级配、水泥成品细度相对稳定的条件下,若管磨机一仓选用的有效仓长L1比例参数不合理,在系统运行过程中,一般都会出现共性问题:磨头进料端"冒灰"、"溢料"及磨内一仓"饱磨"现象,主电机运行电流明显下降,不得不采取减料或止料或调整运行参数,使系统长期处于低产量状态运行,粉磨电耗居高不下。实践中,应根据系统不同分级设备、不同工艺等因素科学确定管磨机一仓有效长度。     

自动矿物学：Ⅰ. 技术进展与应用

近年来，“自动矿物学”（或“定量矿物学”）的概念和相关技术得到了显著的发展和广泛的应用，使矿物学研究，尤其是工艺矿物学研究从人工测试走向自动化测试、从定性研究走向定量研究。本文评述了自动矿物学的技术进展与应用，主要包括：①矿物分析技术发展阶段；②自动矿物学技术国际研究进展与国内研究现状；③自动矿物学的应用领域及发展趋势。在此基础上，总结了基于扫描电镜的自动矿物学技术的基本原理以及选矿产品环氧树脂抛光片制备过程中需要注意的一些问题。以期为固体地球科学研究和矿产资源开发利用过程中遇到的一些瓶颈问题提供新的研究途径和新的思路。     

地下深部铜矿排水自动化系统研究与实践

本文针对国内地下深部铜矿矿山已建成的井下排水自动化控制系统中存在的问题,以铜矿井下排水自动化系统设计和建设为背景,介绍了排水自动化系统的功能要求、控制关键、实现方式、联动智能分析,该系统以电动阀门改造、Wincc软件等为建设平台,结合水仓水位、主管道压力和流量、阀门开度智能感知等数据,采用地下深部多级联动排水智能调控,远程自动对离心泵、电动闸阀等控制,实现了排水系统远程智能控制。