基于PLC的胶带输送机保护系统研究

为了解决煤矿胶带输送机胶带在运行过程中出现的纵向撕裂的问题,采用PLC控制系统,研究了胶带输送机保护系统,分析了PLC系统特点,对系统的硬件部分的技术参数和设计要求进行了设计,对监测系统PLC进行了选型,采用S7-200 CPU226CN控制器,分析了语言报警系统,然后对PLC控制系统软件进行了设计。研究对促进我国胶带输送机保护技术的发展具有重要的意义。     

塑料盖注塑成型方案分析及翘曲变形参数优化

以塑料盖作为研究对象,获得最优成型方案,预测塑件成型后的翘曲变形程度以提高塑件质量。初步提出两种注塑工艺方案加工塑料盖,使用Moldflow软件对两种方案注塑过程进行模拟对比分析,对产生翘曲缺陷的原因进行研究;利用五因素四水平的正交试验,以减小翘曲变形程度作为优化目标,优化工艺参数。模拟结果表明:方案二为最优方案,且翘曲变形主要是由收缩不均匀以及取向不均匀而造成的,翘曲变形程度最小的工艺参数组合为熔体温度250℃、模具温度60℃、保压时间12 s、冷却时间12 s、填充时间0.9 s,优化后比优化前翘曲变形程度降低9.4%左右,熔料熔接和材料性能也有所改善,塑料盖整体质量提高。实验可有效地缩短塑料盖的研发周期,降低生产成本,提高塑料盖的研发成功率。     

Metallization and Ar‐O plasma effects on dental enamel roughness evaluated with SEM and MeX™ for 3D reconstruction

The MeX? software is a useful tool for tridimensional data collection for surface evaluation and could be relevant to evaluate the same specimen in different phases of the study, assuming repeated measures of dental enamel roughness. The aim of this study was to evaluate the influence of sample metallization for dental enamel roughness analysis with 3D images reconstructed using MeX? software from Scanning Electron Microscopy (SEM) images. The influence of 74.98% (%mol/mol) argon?oxygen plasma for carbon layer removal on surface roughness of the metallized specimen was also evaluated. Dental enamel specimens were prepared for SEM analysis with and without carbon metallization using conventional or environmental modes. Argon?oxygen plasma for carbon layer removal was used and surface roughness was re‐evaluated. Roughness obtained by SEM and MeX? reconstructed images, with or without metallization, did not differ. No significant alteration on surface roughness after carbon layer removal using plasma was found. SEM baseline evaluation using conventional mode without sample preparation and in environmental mode were not comparable. Roughness of enamel 3D images reconstructed with MeX? software from SEM images, with or without metallization was similar. The 74.98% (%mol/mol) argon?oxygen plasma removed the carbon layer with no effect on enamel roughness.     

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。     

Optimization of sugar release from banana peel powder waste (BPPW) using box-behnken design (BBD): BPPW to biohydrogen conversion

Optimization of pre-treatment conditions has been achieved for total sugar release from banana peel powder waste (BPPW) feedstock modelled through a three-level Box-Behnken design (BBD) of the response surface methodology (RSM). A series of various runs were executed at varied acid (H₂SO₄) concentrations (0.05%–0.15% v/v), incubation periods (1 h–3 h) in water bath at 95 °C and alkali (NaOH) concentrations (0.05%–0.15% v/v) according to the Box-Behnken design (BBD). From RSM the significant values of incubation period, acid concentration and alkali concentration were obtained as 3 h, 0.095% v/v, and 0.05% v/v respectively. The maximum total sugar release was reported as 5243.62 μg/ml which was highly close to the predicted value (5010.07 μg/ml). The model P- value (0.001), R-sq (98.26%), (adj) R-sq (95.14%) and (pred) R-sq (79.56%) obtained through ANOVA justified the results. The mutual impact of alkali and incubation period had the highest effect on total sugar release from dried banana peel powder, followed by mutual impact of acid and incubation period based on ANOVA (Analysis of Variance) results.Under optimized conditions of pre-treatment six different substrate concentrations (1%, 3%, 5%, 7% and 9% w/v) of BPPW was hydrolyzed and used to obtain volumetric bio-hydrogen evolution. The highest cumulative volumetric bio hydrogen gas 43 ml H₂/30 ml media was achieved at 5% w/v of pretreated BPPW. The substrate concentration above 5% w/v resulted in lowered fermentation process owing to product and substrate inhibition.     

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Telemedicine is a new area based on the information and communication technology for collecting, storing, organizing, retrieving and exchanging medical information. One of the most important applications of telemedicine is indeed telesurgery in which an efficient telecommunication infrastructure between the surgery room and remote surgeons need to be established. One of the most important issues to be tackled in telesurgery is to find favorable links for routing as well as providing high Quality of Service (QoS). In this paper, an efficient model based on the hybridization of Type‐2 Fuzzy System (T2FS) and Cuckoo Optimization Algorithm (COA) over the Software Defined Networks (SDN) is proposed in order to achieve optimal and reliable routes for telesurgery application. Using T2FS, the fitness of the links is determined; then, a COA is conducted over the Constraint Shortest Path (CSP) problem to find the best routes. Delay is considered as a CSP problem which is satisfied by trying to find the paths with minimum cost. Due to the NP‐completeness of the CSP problem, an Enhanced COA (so‐called E‐COA) is proposed and utilized as a metaheuristic solver. To the best of our knowledge, this paper is the first SDN‐based communication model that applies both T2FS and E‐COA for assigning proper costs to the network's links, and solves the consequence CSP problem according to the QoS requirement for telesurgery. The model also recognizes and preserves the second‐best routes in order to keep the reliability for such a critical application. In addition to the simulations, the performance evaluation is also conducted on a real experimental scenario. Many comparisons are carried out between the proposed model and other conventional methods, and the evaluation study shows the superiority of the proposed model on all the three QoS‐related metrics, i.e. average end‐to‐end delay, packet loss ratio and PSNR.     

The Genetic Basis of Primary Myelofibrosis and Its Clinical Relevance

Among classical BCR-ABL-negative myeloproliferative neoplasms (MPN), primary myelofibrosis (PMF) is the most aggressive subtype from a clinical standpoint, posing a great challenge to clinicians. Whilst the biological consequences of the three MPN driver gene mutations (JAK2, CALR, and MPL) have been well described, recent data has shed light on the complex and dynamic structure of PMF, that involves competing disease subclones, sequentially acquired genomic events, mostly in genes that are recurrently mutated in several myeloid neoplasms and in clonal hematopoiesis, and biological interactions between clonal hematopoietic stem cells and abnormal bone marrow niches. These observations may contribute to explain the wide heterogeneity in patients’ clinical presentation and prognosis, and support the recent effort to include molecular information in prognostic scoring systems used for therapeutic decision-making, leading to promising clinical translation. In this review, we aim to address the topic of PMF molecular genetics, focusing on four questions: (1) what is the role of mutations on disease pathogenesis? (2) what is their impact on patients’ clinical phenotype? (3) how do we integrate gene mutations in the risk stratification process? (4) how do we take advantage of molecular genetics when it comes to treatment decisions?     

自主机器人多智能体软件架构及伴随行为机制

自主机器人是一类由计算机软件控制的信息物理系统，如何支持该类机器人在开放环境下的有效和协调运行是自主机器人控制软件（CSAR：Control Software of Autonomous Robot）研究与实践面临的一项重要挑战.本文基于组织理论的思想，采用Structure-in-5的组织架构模式，提出了基于多智能体的CSAR的软件架构MaRSA（Multi-agent Robotic Software Architecture），通过独立抽象CSAR的行为规划、分发、执行等软构件并显式加强这些构件间的交互，从而为自主机器人行为的有效规划和协调实施奠定架构基础；提出了基于MaRSA架构的伴随行为机制，从因果性、时序性和按需性三个方面建立了机器人观察行为和任务行为间的伴随关系，并基于分步规划和动态决策的思想设计并实现了伴随行为的自主决策算法DAAB（Decision Algorithm of Accompanying Behaviors）.论文分别在仿真环境和实际机器人环境下设计了对比性实验，结果表明，与主流的反应式行为决策算法和BDI式概率决策算法相比较，基于MaRSA和伴随行为机制的DAAB算法所生成的伴随行为规划在开放环境下具有可行性和更高效的执行效率.     

基于SDN的电力数据中心网络架构研究

为建设能源互联网,充分应用“大云物移智”等现代信息技术,文章从SDN网络架构模型出发,根据不同类型流量,将云数据中心网络划分为3张相互隔离的网络,即业务网、存储网和管理网,然后详细阐述了3张网的设计方案,并给出了一个从传统数据中心向云数据中心发展的演进步骤,为搭建适应快速增长的业务需求的云数据中心提供了思路。