面向电网巡检的多旋翼无人机航测系统关键技术研究及应用

针对无人机电力巡检所面临的定位精度低、近距离巡检操控难度大、自动化程度低、人为操控事故风险高等问题,本文提出了利用多旋翼无人机RTK差分定位技术、复杂塔型飞行规则机器学习算法等无人机航测系统技术,研发面向电网巡检的无人机智能操作系统及控制终端,提升电网线路日常管理和应急指挥的规范性、便利性和经济性,为电网管理部门提供一种低成本、易操作、高效率、机动灵活的新型巡检模式。     

冻融作用下PPF稳定土力学性能研究

为了研究冻融作用下外加材料稳定土的力学性能,以一种国产土壤固化剂（TG固化剂）加固低剂量水泥石灰稳定土为研究对象,通过冻融前后的无侧限抗压强度试验、劈裂强度试验和抗压回弹模量试验,研究不同压实度、聚丙烯纤维（PPF）掺量稳定土的力学性能。结果表明：稳定土的抗压强度、劈裂强度及回弹模量均随冻融次数的增加而降低,经历6次冻融循环后,强度、模量损失率基本稳定。冻融前后稳定土的抗压强度、劈裂强度、抗压回弹模量以及强度、模量的残留百分比均随着压实度和PPF掺量的提高而增大。结合工程实际情况,选取压实度为95%,0.2% PPF综合稳定土进行冻融试验,得到抗压强度残留比（BDR）达到59.32%,质量变化率仅为6.28%,研究表明,PPF综合稳定土具有优良的冻稳定性,可用作路面基层材料。     

元启发式搜索策略在构造模糊分类系统中的应用

论述了使用模拟退火元启发式搜索策略构造模糊分类系统的过程,目的是利用模拟退火原理研制一种精确的模糊分类器,改善与分类问题有关的搜索空间探索与发掘的性能,找到模糊if-then规则的优化集。算法可以从输入数据集中抽取精确的模糊分类规则,并在若干不同预定义类中将其应用于对新数据实例的分类。     

基于决策到决策路径的遗传算法软件测试用例设计

测试用例生成优劣是软件测试自动化效率高低至关重要的一点,常用的随机测试用例自动生成方法虽然实现简单,但具有效率低、冗余大的缺点,而遗传算法适合于处理传统方法难以解决的非线性问题。为了提高测试效率、降低测试成本,通过分析测试用例自动生成和遗传算法的基本理论,在面向决策到决策路径的软件测试基础上,利用程序控制流图详细阐释了对基于遗传算法的测试用例自动生成技术的设计。通过与随机法自动用例生成进行试验对比,表明其效率至少是随机法10倍。     

淋水碎裂顶板煤巷锚固试验研究与实践

煤巷顶板锚固区域富水岩层支护中出现的沿锚杆（索）钻孔持续渗、淋、涌水难题是工程中亟待解决的问题。采用一种新型锚杆（索）防水锚固剂进行了相关防水性配比试验研究;为了获得煤系碎裂顶板持续渗水作用下粉砂岩强度变化规律,在现场与实验室分别进行渗水试验。结果表明：NS-1不饱和聚酯树脂及添加2%的XS-1高分子速溶胶粉是防水型锚固剂关键点;在静水浸泡作用下,粉砂岩抗压强度呈现先缓慢增大而后快速衰减的变化规律;在动水渗流、循环风干作用下粉砂岩在36～42 h内裂隙开度增加,强度持续弱化。研究了粉砂岩顶板水与支护体耦合作用关系,在团柏煤矿101101巷道进行新型锚固剂锚杆（索）锚固试验,防水型锚固剂在钻孔渗流量为140 mL/s时,仍能达到208 kN的锚固效果;试验结果表明,对锚杆、锚索施加高预应力和采用防水锚固剂可保证顶板淋水碎裂煤巷的稳定。     

保水剂与活性炭改良白云岩石漠化坡地土壤促进植物生长的盆栽试验研究

文章分析了白云岩坡地岩土组构特点,针对白云岩坡地土壤易漏水、漏肥的原因,提出利用保水剂的保水功能和活性炭的吸附与缓释功能对白云岩坡地土壤进行改良的思路和方法,并开展相关盆栽试验,研究保水剂保水、活性炭保肥对促进植物生长的作用,取得了良好效果。研究结果表明:（1）减少水分渗漏,利用保水剂的吸水性,是促进白云岩坡地植被生物量提高的重要措施。加入保水剂含量比例为0.5%时,总生物量比不加保水剂处理增加51.2%。加入保水剂含量比例为1%时,总生物量比不加保水剂处理增加111.2%;（2）同等添加0.5%保水剂情况下,随着活性炭加入比例的提高,生物量增长显著。加入3%的活性炭处理相比未加入活性炭处理,总生物量提高31.2%;加入5%的活性炭处理相比未加入活性炭处理总生物量提高78.6%。初步论证了利用活性炭的吸附与缓释功能改良白云岩糖砂层土壤,缓解养分渗漏的可行性。（3）白云岩土壤改良前后,植被生长差异显著。加入0.5%保水剂和5%的活性炭的处理比无添加的对比实验,总生物量提高101.2%,其中地上部分与地下部分分别增长90.9%和205.8%。此研究为白云岩石漠化坡地提高土地生产力, 缓解人地矛盾, 促进白云岩石漠化坡地植被恢复及土地的开发利用探索了新途径,是一种待之有效的土壤改良方法。      

基于改进果蝇算法的非线性模型参数估计方法

在对基本果蝇优化算法的寻优流程进行深入分析的基础上,提出一种单方向搜索处理的改进果蝇优化算法（IFOA）。该方法可以对极值点为非零非负的非线性函数进行优化处理,将其应用于非线性模型参数估计。实例表明,IFOA方法在参数估计精度上优于线性近似法与非线性迭代方法;与以遗传算法为代表的智能搜索方法相比,其估计精度相当,并具有参数设置少、寻优过程简单、易于程序实现等优点。     

A Review of: “Applications of Spatial Data Structures: Computer Graphics,Image Processing,and GIS”. By H. SAMET. (Addison-Wesley Publishing Company,Inc, 1989.) [Pp. xv + 507; figures,tables, appendix,references, name and credit index,subject index.] Price US $49.95. ISBN 020150300 X (hardback).

The introduction of automated generalisation procedures in map production systems requires that generalisation systems are capable of processing large amounts of map data in acceptable time and that cartographic quality is similar to traditional map products. With respect to these requirements, we examine two complementary approaches that should improve generalisation systems currently in use by national topographic mapping agencies. Our focus is particularly on self‐evaluating systems, taking as an example those systems that build on the multi‐agent paradigm. The first approach aims to improve the cartographic quality by utilising cartographic expert knowledge relating to spatial context. More specifically, we introduce expert rules for the selection of generalisation operations based on a classification of buildings into five urban structure types, including inner city, urban, suburban, rural, and industrial and commercial areas. The second approach aims to utilise machine learning techniques to extract heuristics that allow us to reduce the search space and hence the time in which a good cartographical solution is reached. Both approaches are tested individually and in combination for the generalisation of buildings from map scale 1:5000 to the target map scale of 1:25 000. Our experiments show improvements in terms of efficiency and effectiveness. We provide evidence that both approaches complement each other and that a combination of expert and machine learnt rules give better results than the individual approaches. Both approaches are sufficiently general to be applicable to other forms of self‐evaluating, constraint‐based systems than multi‐agent systems, and to other feature classes than buildings. Problems have been identified resulting from difficulties to formalise cartographic quality by means of constraints for the control of the generalisation process.     

Influence of Surfactants on Degradation of 1‐(2‐Chlorobenzoyl)‐3‐(4‐chlorophenyl) Urea by Nanoscale Zerovalent Iron

Nanoscale zerovalent iron (NZVI) has been proved to be effective in the degradation of environmental pollutants and exhibits advantages in the removal of 1‐(2‐chlorobenzoyl)‐3‐(4‐chlorophenyl) urea (CCU), an analog of diflubenzuron. This present study focused on the influence of surfactants in the degradation procedure with NZVI in order to provide a simple and rapid removal method for CCU. Triton X‐100, Tween 20, Tween 80, sodium dodecyl sulfonate (SDS), and cetyltrimethylammonium bromide (CTAB) were investigated under anaerobic conditions. The experimental results demonstrated that the degradation rate increased sharply with the presence of SD during the first 15 min, up to 99.97% with addition of 0.01 g L^?1 SDS, whereas the presence of Triton X‐100, Tween 80, and Tween 20 resulted in a slight enhancement of the degradation of CCU. The enhancement strength of them was in the order Tween 20, Triton X‐100, and Tween 80. However, addition of the cationic surfactant CTAB resulted in a significant inhibitive effect. In contrast, the mixed surfactants did not result in the expected performance, and the performance was lower than that using some certain single surfactant among the mixed surfactants.     

专题地图色彩的智能设计

为提高专题地图色彩设计的智能化水平,结合专题地图制图的实际需求,给出了一种专题地图色彩智能设计算法;其基本思路为以设计者的配色期望、色彩情感数据库和色彩协调理论为基础,采用粒子群算法进行配色方案的选取,借助孟.斯宾瑟的美度公式对配色方案进行进一步优化,进而得出专题地图智能设色的最优方案。