A goal-oriented adaptive finite element（FE） method for solving 3D direct current（DC） resistivity modeling problem is presented. The model domain is subdivided into unstructured tetrahedral elements that allow for ...A goal-oriented adaptive finite element（FE） method for solving 3D direct current（DC） resistivity modeling problem is presented. The model domain is subdivided into unstructured tetrahedral elements that allow for efficient local mesh refinement and flexible description of complex models. The elements that affect the solution at each receiver location are adaptively refined according to a goal-oriented posteriori error estimator using dual-error weighting approach. The FE method with adapting mesh can easily handle such structures at almost any level of complexity. The method is demonstrated on two synthetic resistivity models with analytical solutions and available results from integral equation method, so the errors can be quantified. The applicability of the numerical method is illustrated on a resistivity model with a topographic ridge. Numerical examples show that this method is flexible and accurate for geometrically complex situations.展开更多
在变电油浸式样品的传统管理中,因过度依赖人工操作,导致信息遗漏、人工误差率高、流程追溯困难、作业效率低等问题,且变电站存在室内外多场景、强电磁干扰、差异化传输需求等复杂环境。现有方法多聚焦单一环节优化,缺乏全生命周期闭环...在变电油浸式样品的传统管理中,因过度依赖人工操作,导致信息遗漏、人工误差率高、流程追溯困难、作业效率低等问题,且变电站存在室内外多场景、强电磁干扰、差异化传输需求等复杂环境。现有方法多聚焦单一环节优化,缺乏全生命周期闭环管控,难以满足行业的精细化运维需求。为此,本文基于样品管控全流程环节,设计了基于“感知层-传输层-业务逻辑层-分析层-应用层”五级架构的数智化管控系统。该系统通过融合射频识别(Radio Frequency Identification,RFID)/二维码双标识防错、混合通信体系(5G、LoRa、工业以太网)、自动化台账生成算法等核心技术,实现了样品全生命周期标准化管控与异常智能拦截。结果表明,所提系统能够大幅缩短各环节耗时,其中台账生成耗时减少99.88%、检测数据上传耗时减少99.37%、标签生成与绑定耗时下降94.78%,标签绑定错误率降至0,季度流转异常拦截36次,数据一致性校验通过率提升至99.62%,核心字段完整性达99.83%,跨表数据关联准确率达99.91%;混合通信体系中工业以太网延迟稳定在4~7 ms,5G户外区域通信成功率达99.8%,可有效适配变电站复杂环境。该系统提升了管控效率与数据质量,能够有效适配变电站复杂环境,为电力行业工业样品全流程数智化管控提供了可行方案。展开更多
基金supported by the National Natural Science Foundation of China (No. 41204055)the National Basic Research Program of China (No. 2013CB733203)the Opening Project (No. SMIL-2014-06) of Hubei Subsurface Multi-Scale Imaging Lab (SMIL), China University of Geosciences, Wuhan, China
文摘A goal-oriented adaptive finite element（FE） method for solving 3D direct current（DC） resistivity modeling problem is presented. The model domain is subdivided into unstructured tetrahedral elements that allow for efficient local mesh refinement and flexible description of complex models. The elements that affect the solution at each receiver location are adaptively refined according to a goal-oriented posteriori error estimator using dual-error weighting approach. The FE method with adapting mesh can easily handle such structures at almost any level of complexity. The method is demonstrated on two synthetic resistivity models with analytical solutions and available results from integral equation method, so the errors can be quantified. The applicability of the numerical method is illustrated on a resistivity model with a topographic ridge. Numerical examples show that this method is flexible and accurate for geometrically complex situations.
文摘在变电油浸式样品的传统管理中,因过度依赖人工操作,导致信息遗漏、人工误差率高、流程追溯困难、作业效率低等问题,且变电站存在室内外多场景、强电磁干扰、差异化传输需求等复杂环境。现有方法多聚焦单一环节优化,缺乏全生命周期闭环管控,难以满足行业的精细化运维需求。为此,本文基于样品管控全流程环节,设计了基于“感知层-传输层-业务逻辑层-分析层-应用层”五级架构的数智化管控系统。该系统通过融合射频识别(Radio Frequency Identification,RFID)/二维码双标识防错、混合通信体系(5G、LoRa、工业以太网)、自动化台账生成算法等核心技术,实现了样品全生命周期标准化管控与异常智能拦截。结果表明,所提系统能够大幅缩短各环节耗时,其中台账生成耗时减少99.88%、检测数据上传耗时减少99.37%、标签生成与绑定耗时下降94.78%,标签绑定错误率降至0,季度流转异常拦截36次,数据一致性校验通过率提升至99.62%,核心字段完整性达99.83%,跨表数据关联准确率达99.91%;混合通信体系中工业以太网延迟稳定在4~7 ms,5G户外区域通信成功率达99.8%,可有效适配变电站复杂环境。该系统提升了管控效率与数据质量,能够有效适配变电站复杂环境,为电力行业工业样品全流程数智化管控提供了可行方案。
