Design and analysis of artificial bee-colony-based MPPT algorithm for DFIG-based wind energy conversion systems

In this article, the proposed maximum power point tracking (MPPT) method is designed by taking rotor speed as an optimization problem, which is solved by artificial bee colony (ABC) algorithm to generate the maximum power output. The main advantage of this algorithm is that its optimal solution is independent of the initial positions and requirement of lesser number of control parameters, which leads to simple and robust MPPT algorithm than other algorithm. Furthermore, the hill climb search and particle swarm optimization-based MPPT algorithm are also discussed and the results obtained by these are compared to verify the effectiveness of proposed algorithm. Simulations for MPPT control along with doubly fed induction-generator-based wind energy conversion system is carried out in MATLAB/Simulink environment. Three statistical methods are used to evaluate the accuracy of each MPPT algorithm. All results are analyzed and compared under randomly selected wind as well as real wind speed configuration. Comparison of both numerical and simulation results under two different varying wind speed conditions strongly suggest that the proposed ABC-based MPPT algorithm is superior than other two MPPT algorithms.     

A beetle antennae search improved BP neural network model for predicting multi-factor-based gas explosion pressures

A gas explosion in an underground structure may cause serious damage to the human body and ground buildings and may result in huge economic losses. The pressure of the gas explosion is an important parameter in determining its severity and designating an emergency plan. However, existing empirical and computational fluid dynamics (CFD) methods for pressure prediction are either inaccurate or inefficient when considering multiple influencing factors and their interrelationships. Therefore, for a more efficient and reliable prediction, the present study developed a multifactorial prediction model based on a beetle antennae search (BAS) algorithm improved back propagation (BP) neural network. A total of 317 sets of data which considered factors of geometry, gas, obstacle, vent, and ignition were collected from previous studies. The results showed that the established model can predict pressures accurately by low RMSE (43.4542 and 50.7176) and MAPE (3.9666% and 4.9605%) values and high R² (0.7696 and 0.7388) values for training and testing datasets, respectively. Meanwhile, the BAS algorithm was applied to improve both the calculation efficiency and the accuracy of the proposed model by enabling a more intelligent hyperparameter tuning method. Furthermore, the permutation importance of input variables was investigated, and the length (L) and the ratio of length and diameter (L/D) of geometry were found to be the most critical factors that affect the explosion pressure level.     

1种机器人工作区域协同搜索避障巡检策略

为解决工作区域搜索待操作目标的不确定性以及单一策略无法解决障碍物区域多搜索目标遍历与避障的问题,提出1种随机与固定搜索相结合的协同巡检策略。该策略在重点监测点通过引入非线性收敛因子及动态权重策略的改进灰狼优化算法遍历多任务点进行固定路线搜索;在非重点监测区域为差速转向移动机器人赋予三视野扫描线,并运用其灵活转动的特点进行随机路线搜索;通过交互式人工标记的方法定位搜索目标点并对其进行标记,运用改进灰狼优化算法对标记出的多目标点进行遍历顺序规划及D*算法避障到达;通过5个国际通用工程函数仿真测试改进的灰狼优化算法。结果表明:改进的灰狼优化算法能加快收敛速度,增强模型的求解精度,加强算法的稳定性,同时验证随机与固定相结合的区域协同搜索避障巡检策略的有效性。     

论我国《海域使用管理法》的修订

《海域使用管理法》对中国海洋法制建设具有重要意义。该法施行以来,我国海域使用管理配套法规体系日趋完善,海洋功能区划、海域有偿使用等制度日臻成熟。《海域使用管理法》实施已逾15年,我国经济社会生活发生了巨大变化,中国特色社会主义法律体系不断完善,该法暴露出来的问题日益增多,亟待修订:首先,立法理念应由"重发展,轻保护"向"海域资源和海洋环境保护优先"变革。其次,应完善海域使用权制度,突出海域使用权的物权性,强化该法的私权色彩,将海域使用权的成立时间修改为"完成登记之日"。在围填海管理方面,应理顺围填海建设项目的审批程序,提高行政效率;建立填海造地指标管理制度。最后,在法律责任方面,应明确"恢复原状"的适用条件;修改罚款的计算方法,对于具有持续性的严重海域违法行为可以引入"按日处罚"制度;增加刑事责任条款;赋予海洋行政执法机构必要的行政强制手段。     

救援机器人的发展及其在灾害救援中的应用

灾害搜救工作的复杂性、危险性和紧迫性给救援工作带来了极大的困难。救援机器人以其体积小、灵活等诸多优点成为灾害辅助救援的有效工具并引起全世界的广泛关注。文中分析了救援行动中使用救援机器人的必要性和可行性,介绍了国内外救援机器人的研究历史和发展概况,对目前的几种救援机器人运动方式和通讯控制方式的优缺点进行了比较。通过分析灾害救援行动中救援机器人所面临的挑战以及国内外救援机器人技术研究的热点及发展方向,给我国研制开发救援机器人提出了若干建议。     

Predicting non-carcinogenic hazard quotients of heavy metals in pepper (Capsicum annum L.) utilizing electromagnetic waves

• There was significant absorption of heavy metals by the pepper in contaminated soils. • The target hazard quotient (THQ) indices followed the order of Pb>Zn>>Cd » Ni. • Relationships exist between contaminated plants and electromagnetic wave. • PCA and random search can select the main spectra and predict THQ for each element. Given the tendency of heavy metals to accumulate in soil and plants, the purpose of this study was to determine the contamination levels of Cd, Ni, Pb, and Zn on peppers (leaves and fruit) grown in contaminated soils in industrial centers. For this purpose, we measured the uptake of the four heavy metals by peppers grown in the heavy metal contaminated soils throughout the four growth stages: two-leaf, growth, flowering, and fruiting, and calculated various vegetation indices to evaluate the heavy metal contamination potentials. Electromagnetic waves were also applied for analyzing the responses of the target plants to various heavy metals. Based on the relevant spectral bands identified by principal component analysis (PCA) and random search methods, a regression method was then employed to determine the most optimal spectral bands for estimating the target hazard quotient (THQ). The THQ was found to be the highest in the plants contaminated by Pb (THQ= 62) and Zn (THQ= 5.07). The results of PCA and random search indicated that the spectra at the bands of b₅₇₀, b₆₅₀, and b₇₆₀ for Pb, b₄₀₀ and b₁₀₃₀ for Ni, b₄₀₀ and b₈₈₀ for Cd, and b₅₆₀, b₉₁₀, and b₁₀₅₀ for Zn were the most optimal spectra for assessing THQ. Therefore, in future studies, instead of examining the amount of heavy metals in plants by chemical analysis in the laboratory, the responses of the plants to the electromagnetic waves in the identified bands can be readily investigated in the field based on the established correlations.     

OPTIMUM DESIGN OF BORDER IRRIGATION SYSTEM1

ABSTRACT: Border irrigation systems like most of the other surface irrigation systems, do not need too much energy and special equipment. Thus, many farmers have used this system for a long time. On the other hand, design of surface irrigation systems including border irrigation requires many input parameters, and need intensive engineering calculations. The burden of these requirements probably led the users to experimental design of the systems with low efficiencies. However, accurate design and high quality optimization of the border irrigation system that can result in a highly efficient system is possible. In this study, an optimization model for border irrigation system is presented. The Hook Jeev's pattern search optimization method in conjunction with a general mathematical model of border irrigation is used to maximize the irrigation application efficiency. The border irrigation storage and distribution efficiencies, border slope and length, inflow rate, cutoff time, and the Manning's roughness coefficient are selected as constraints. The model is applied to field-measured data. The results show that it is possible to select a suitable combination of the border system's parameters (border's length, inflow rate, and cutoff time) to obtain a maximum application efficiency.     

Role of information in collective action in dynamic disaster environments

This study explores the major issues facing collective response operations after destructive earthquakes. The small-n case study design employs qualitative and quantitative methods to investigate the decision-making process in a context of seismic risk to exemplify how public managers can utilise information and communication systems to ensure collaborative actions in managing an extreme event. Fifty-eight semi-structured interviews with 39 key decision-makers and researchers and content analyses of daily reports from Cumhuriyet comprise the main data sources. The study compares and contrasts the Turkish disaster management system following the Marmara and Duzce earthquakes of 1999. It addresses whether the use of information and communication technologies significantly affected its performance. The study's findings reveal that difficulties in accessing and exchanging timely and accurate disaster-relevant information inhibited coordination during the Marmara response while increased communication functions improved coordination and search-and-rescue activities during the Duzce response.     

地震灾害紧急救援队伍救援行动的规范

介绍了制定地震灾害紧急救援队伍行动规范的背景,阐述了地震灾害紧急救援队伍行动的阶段,给出了地震现场灾害紧急救援队伍行动规范的内容。该规范将有效地规范和协调地震灾害紧急救援队伍的救援行动,提高救援能力与效率,最大限度地减少人员伤亡。