光伏发电项目中直流电能计量仪表的优化研究

直流电能计量仪表作为光伏发电项目的关键设备之一,在电能计量和监控方面起着至关重要的作用。文章提出一种优化光伏发电项目直流电能计量仪表的方案。首先,分析光伏发电项目中直流电能计量仪表存在的问题包括测量精度不高、读数不稳定等。其次,从硬件和软件两方面展开优化研究。在硬件方面,结合实际情况对直流电能计量仪表进行改进设计,提高其稳定性和精度;在软件方面,优化计量仪表的算法,提高数据采集和处理效率。最后,通过实验来验证优化后的直流电能计量仪表的性能。结果表明,优化后的仪表在计量精度和稳定性方面均有所提升。

油井远程在线计量优化分析系统技术在大港油田的应用

在油井无计量站情况下,采用油井集群单井远程计量自动监测系统,并与专门的油水井计量分析软件结合,形成了油井远程监控、液量自动计量及分析优化系统,实现单井远程自动计量需要。本文简要说明该系统技术的原理与功能,重点论述该技术在整个大港油田对不同类型油井的应用效果。该系统已在大港油田先导性试验成功并推广应用,能替代或简化计量流程,降低产能建设投入和运行成本。

优化计量信息管理系统的功能设置

在供电企业的生产和运营过程中,电能计量是一个非常重要的环节,起着至关重要的作用,必须要引起企业的高度重视。电能计量的主要作用就是通过计量装置计算出电能的消耗量,计算出的结果不仅可以作为计收电量的有力依据,还可以据此制订出电能的生产计划。基于此,以下对优化计量信息管理系统的功能设置进行了探讨,以供参考。

电力谐波对电能计量的影响分析

阐述电力谐波对电能计量准确性、计量合理性的影响,探讨电力谐波影响下电能计量的优化对策,包括优化计量方式、降低谐波使用量、增加换流装置相数、运用有源滤波法。

石化企业固体产品包装计量的优化管理

通过分析某乙烯厂固体产品定量包装计量存在的问题及原因,并按照计量优化管理方法的内涵,提出了优化方法并成功予以实施,取得了比较显著的效果。

石油化工企业计量管理优化

经济的发展，市场的完善，对于工业控制，成本核算，预算管理以及贸易交安等提出了更高的要求。此时，计量管理作为重要的技术和管理模式在企业的发展中愈加重要。通过对现状分析，根据计量优化管理的重要性提出了管理优化的方法，对石油化工企业质量的提高有一定的借鉴意义。

石油化工企业计量管理优化

经济的发展,市场的完善,对于工业控制、成本核算、预算管理以及贸易交接等提出了更高的要求。此时,计量管理作为重要的技术和管理模式在企业的发展中愈加重要。通过对现状分析,根据计量优化管理的重要性提出了管理优化的方法,对石油化工企业质量的提高有一定的借鉴意义。

石油化工企业计量管理优化初探

经济的发展，市场的完善，对于工业控制、成本核算、预算管理以及贸易交接等提出了更高的要求。此时，计量管理作为重要的技术和管理模式在企业的发展中愈加重要。通过对现状分析，根据计量优化管理的重要性提出了管理优化的方法，对石油化工企业质量的提高有一定的借鉴意义。

LNG加气站加气及计量系统的优化设计

LNG汽车技术作为一种新兴的天然气汽车技术随着国内LNG产业的起步,正在成为清洁汽车燃料的发展方向之一。但由于液化天然气汽车(LNGV)的发展尚处于起步阶段,工程设计、施工等方面的经验也不多,对LNG加气站的加气和计量系统进行了优化设计,以供参考。

浅谈企业计量管理优化的重要性

计量管理工作作为企业的一项基础技术工作,它贯穿于企业的能源管理、物资管理、生产管理、质量管理、设备管理、产品研发等各个方面,小至一把游标卡尺,大到几百万元一台的测量设备,每个产品的加工、制造、包装,都离不开计量检测。因此计量管理作为重要的技术和管理模式在企业的发展中显得愈加重要。本文通过对企业现状分析,根据计量优化管理的重要性,提出管理优化的方法,以提高企业的质量。

优化《几何量计量》课程中实验教学的几点思考

【摘要】《几何量计量》是几何量计量专业的主要专业课程，通过本课程的学习，应使学生具有对常用标准量进行检定的知识，能根据被测对象和被测量设计合理的测量方法，正确选择相应的计量仪器，完成几何参数的测量，能对测量误差进行分析，并对数据进行计算处理。为了使学生更好地适应工作岗位的要求，我们需要对本课程中的实验教学进行优化，使其更贴近社会的实际，增强对学生技能的训练与指导，增强实践环节，让学生在实验中达到使理论与实际一体化的效果，得以更好地满足社会发展的需求。

石油化工企业计量管理优化

经济的发展，市场的完善，对于工业控制，成本核算，预算管理以及贸易交接等提出了更高的要求。此时，计量管理作为重要的技术和管理模式在企业的发展中愈加重要。通过对现状分析。根据计量优化管理的重要性提出了管理优化的方法。对石油化工企业质量的提高有一定的借鉴意义。

Customized Optimization for Vehicle Acoustic Statistical Energy Analysis

Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NVH targets based on the specific needs of different project teams during the initial project stages.This approach innovatively integrates dynamic optimization,Radial Basis Function(RBF),and Fuzzy Design Variables Genetic Algorithm(FDVGA) into the optimization process of Statistical Energy Analysis(SEA),and also takes vehicle sheet metal into account in the optimization of sound packages.In the implementation process,a correlation model is established through Python scripts to link material density with acoustic parameters,weight,and cost.By combining Optimus and VaOne software,an optimization design workflow is constructed and the optimization design process is successfully executed.Under various constraints related to acoustic performance,weight and cost,a globally optimal design is achieved.This technology has been effectively applied in the field of Battery Electric Vehicle(BEV).

基于高效工装的斜轴类零件加工工艺和检测设计

斜轴类零件在航空产品中应用越来越多,其使用功能决定了斜轴的高精度特点,斜轴类零件使用传统工装,按传统加工方法加工,按传统三坐标程序计量,存在装夹变形、找正困难、合格率低、效率低等问题。通过对斜轴类零件结构、特性和加工难点进行分析,从夹具、刀具、三坐标计量程序三方面着手,研究出适合斜轴类零件的最优工艺和检测方案,通过应用高效工装提高加工效率和合格率,通过高效刀具提高加工精度,通过三坐标的最优计量方案来提高检测效率和准确度,实现斜轴类零件合格率和加工效率的提高。对制造工艺和检测人员的工艺设计思路、工艺方法、三坐标计量方案设计具有借鉴意义。

Shape Optimal System for Linear Elastic Structures

An integrated system FSOP2D,including modules for the shape optimal modeling,structural analysis,sensitivity analysis,optimal method library and post- processing,is developed.By selecting fictitious loads as the design variables that has a linear relationship with the grid point locations and using design sensitivity analysis of the domain method,it is easier to solve the velocity field.In the course of optimal iterations,mesh distortion is kept to a minimum,sensitivity derivatives of object function,stress constraints and displacement constraints are derived.Computation of sensitivity analysis is achieved in the system.Two engineering examples are used to prove the system's effectiveness,the optimal results can successfully be obtained by lesser number of iterations.

BGL炉煤气化过程建模和模拟

建立了BGL气化炉的三维非稳态煤气化模型,模型考虑煤炭颗粒的收缩过程,应用收缩核模型集成煤热解模型、气相湍流模型、气固流动模型、气固异相反应模型、气相均相反应模型、能量守恒方程以及相间传热模型等。该模型充分考虑了气化炉内部三维空间的温度和组成分布,通过煤热解段模型化学计量参数优化,得到CO/H2摩尔比在1.59左右,符合BGL炉热解段运行机制;然后对BGL炉气化段过程进行三维非稳态模拟,模拟出口气组成(CO,H2,CO2,CH4,H2O,O2)与文献结果对比,误差均小于4%。证明了BGL模型的准确性。基于该模型,本文对煤气化过程的主要参数进行影响分析。分析结果表明:煤气化效率随汽氧比的增加而提高,当汽氧比确定在1~1.3之间可以满足工艺要求及生产的需要,适合本文研究所用褐煤的特点;氧煤比增加会降低煤气化效率,但合成气中有效气的含量呈现出先增大后减小的趋势,当氧煤比在0.17左右时有效气含量达到峰值;随着煤粒直径的增加,BGL炉内的温度呈降低趋势,最高温度从2536.77 K降到了2047.81 K;同时,煤粒直径增加会减小CO、H2和CH4的生成量,并增大CO2的生成量。

Influence of Design Margin on Operation Optimization and Control Performance of Chemical Processes

Operation optimization is an effective method to explore potential economic benefits for existing plants. The m.aximum potential benefit from operationoptimization is determined by the distances between current operating point and process constraints, which is related to the margins of design variables. Because of various ciisturbances in chemical processes, some distances must be reserved for fluctuations of process variables and the optimum operating point is not on some process constraints. Thus the benefit of steady-state optimization can not be fully achied（ed while that of dynamic optimization can be really achieved. In this study, the steady-state optimizationand dynamic optimization are used, and the potential benefit-is divided into achievable benefit for profit and unachievable benefit for control. The fluid catalytic cracking unit （FCCU） is used for case study. With the analysis on how the margins of design variables influence the economic benefit and control performance, the bottlenecks of process design are found and appropriate control structure can be selected.

Optimization Design of Vibration Characteristics of Ship Composite Brace with Rigid Vibration Isolation Mass

In considering the theory of structural dynamic optimization design, a design method of the structural style of ship composite brace with rigid vibration isolation mass was studied. Two kinds of structural dynamic optimization formulations minimizing the vibration acceleration of the non-pressure hull on the restraining condition of the gross weight of the ship cabin were established: 1) dynamic optimization of the sectional dimensions of the rigid vibration isolation mass in the composite brace; 2) dynamic optimization of the arranging position of the rigid vibration isolation mass. Through the optimization results, sectional dimensions and the arranging position of the rigid vibration isolation mass with better performance in reducing vibration were gained, and some reference was provided for practical engineering designs as well as enrichment of the design method of a novel ship vibration-isolation brace.

A topology optimization method based on element independent nodal density

A methodology for topology optimization based on element independent nodal density(EIND) is developed.Nodal densities are implemented as the design variables and interpolated onto element space to determine the density of any point with Shepard interpolation function.The influence of the diameter of interpolation is discussed which shows good robustness.The new approach is demonstrated on the minimum volume problem subjected to a displacement constraint.The rational approximation for material properties(RAMP) method and a dual programming optimization algorithm are used to penalize the intermediate density point to achieve nearly 0-1 solutions.Solutions are shown to meet stability,mesh dependence or non-checkerboard patterns of topology optimization without additional constraints.Finally,the computational efficiency is greatly improved by multithread parallel computing with OpenMP.

Non-dominated sorting quantum particle swarm optimization and its application in cognitive radio spectrum allocation

In order to solve discrete multi-objective optimization problems, a non-dominated sorting quantum particle swarm optimization (NSQPSO) based on non-dominated sorting and quantum particle swarm optimization is proposed, and the performance of the NSQPSO is evaluated through five classical benchmark functions. The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value. Therefore, QPSO is used as the evolutionary method of the proposed NSQPSO. Also NSQPSO is used to solve cognitive radio spectrum allocation problem. The methods to complete spectrum allocation in previous literature only consider one objective, i.e. network utilization or fairness, but the proposed NSQPSO method, can consider both network utilization and fairness simultaneously through obtaining Pareto front solutions. Cognitive radio systems can select one solution from the Pareto front solutions according to the weight of network reward and fairness. If one weight is unit and the other is zero, then it becomes single objective optimization, so the proposed NSQPSO method has a much wider application range. The experimental research results show that the NSQPS can obtain the same non-dominated solutions as exhaustive search but takes much less time in small dimensions; while in large dimensions, where the problem cannot be solved by exhaustive search, the NSQPSO can still solve the problem, which proves the effectiveness of NSQPSO.