浅谈勘察设计中的征地拆迁调查工作

在工作中坚持以人为本的方针,征地拆迁调查工作要根据工程项目实际需要分阶段灵活安排,思路要敏锐,观念要跟上国家宏观产业调控的需求。     

二滩水电站泄洪隧洞设计

简要介绍了二滩水电站两条泄洪隧洞的布置、选型、结构设计，以及在高流速水流条件下所采取的减免蚀措施和防雾化措施。     

伊犁灌区建设存在的问题与对策

伊犁河流域灌区目前主要的问题是灌溉面积较小、灌溉水利用率低、生态与环境恶化、管理机制不合理.在建设中首先要以改造老灌区为主，全面配套灌区建筑物、提高渠系水利用率，大力发展节水灌溉，提高田间水利用率．同时要加强灌区的管理，在开发中应该以保护当地的生态与环境为主。     

农业“两区”水利设施建设现状问题及对策

农业"两区"建设是浙江省委、省政府推动农业转型升级、保障粮食安全、发展现代农业的重要举措。水利设施既是农业生产的基础设施,也是现代农业建设中不可或缺的首要条件。在总结浙江省农业"两区"水利设施特征及建设任务的基础上,从水利设施建设管理的主要环节(前期规划、建设程序、经费来源、验收标准、建后管护等)入手,分析了现状水利设施建设管理存在的问题,并提出相应的对策与建议。     

CLOI-NET: Class segmentation of industrial facilities’ point cloud datasets

Shape segmentation from point cloud data is a core step of the digital twinning process for industrial facilities. However, it is also a very labor intensive step, which counteracts the perceived value of the resulting model. The state-of-the-art method for automating cylinder detection can detect cylinders with 62% precision and 70% recall, while other shapes must then be segmented manually and shape segmentation is not achieved. This performance is promising, but it is far from drastically eliminating the manual labor cost. We argue that the use of class segmentation deep learning algorithms has the theoretical potential to perform better in terms of per point accuracy and less manual segmentation time needed. However, such algorithms could not be used so far due to the lack of a pre-trained dataset of laser scanned industrial shapes as well as the lack of appropriate geometric features in order to learn these shapes. In this paper, we tackle both problems in three steps. First, we parse the industrial point cloud through a novel class segmentation solution (CLOI-NET) that consists of an optimized PointNET++ based deep learning network and post-processing algorithms that enforce stronger contextual relationships per point. We then allow the user to choose the optimal manual annotation of a test facility by means of active learning to further improve the results. We achieve the first step by clustering points in meaningful spatial 3D windows based on their location. Then, we apply a class segmentation deep network, and output a probability distribution of all label categories per point and improve the predicted labels by enforcing post-processing rules. We finally optimize the results by finding the optimal amount of data to be used for training experiments. We validate our method on the largest richly annotated dataset of the most important to model industrial shapes (CLOI) and yield 82% average accuracy per point, 95.6% average AUC among all classes and estimated 70% labor hour savings in class segmentation. This proves that it is the first to automatically segment industrial point cloud shapes with no prior knowledge at commercially viable performance and is the foundation for efficient industrial shape modeling in cluttered point clouds.     

工程监理人员及监理设施配置探讨

工程建设项目监理制已在国内工程建设中实施。不同的行业、不同的工程规模、不同的监理单位其现场监理部人员及设施的配置情况大不相同。如何根据工程施工的具体情况或特点来科学、合理的组建工程项目监理机构,以保证工程建设监理质量,是建设单位与监理单位争论的焦点,也是监理单位急于解决的问题。本文将就项目监理机构中监理人员数量的配备、监理设施的配置及影响因素提出自己的考虑方法及观点。     

浦东区调电系图管理系统的设想

浦东区调电力系统接线图（以下简称电系图）不能适应浦东新区电力系统的迅速发展。为此,提出基于自动绘图／设备管理／地理信息系统（ＡｕｔｏｍａｔｅｄＭａｐｐｉｎｇ／ＦａｃｉｌｉｔｉｅｓＭａｎａｇｅｍｅｎｔ／ＧｅｏｇｒａｐｈｉｃＩｎｆｏｒｍａｔｉｏｎＳｙｓｔｅｍ,简称ＡＭ／ＦＭ／ＧＩＳ）平台并适用于浦东区调的一种调度电系图管理系统。该系统以一种智能的电系图方式取代了常规的电系图,实现对已有的ＳＣＡＤＡ等信息的共享,考虑了调度部门所需的运行管理和方便的电系图修改等功能。为电力调度部门的安全调度和管理提供了一种既实用,又能在适当的时候发展成为ＡＭ／ＦＭ／ＧＩＳ的模式     

继电保护状态检修在现代电网中的应用研究

分析了继电保护状态检修技术在电力系统中的应用情况,通过实施该项技术,减少了电力设备的停电时间和运行操作以及检修费用,提高了设备的可用率。研究了继电保护状态检修的实施细节,对继电保护状态检修辅助决策系统作出了有益的技术探讨。