优流程建机制 发挥好社保费争议调解合力

社会保险费征缴本身就具有特殊复杂性,随着征缴模式的转变,缴费人对社保政策和费用征缴的规范化、透明度、便捷性要求不断提升,不可避免会发生一些矛盾争议。国家税务总局扬州市邗江区税务局通过内部优流程、理清单、抓基础、整资源,外部求助力、促协同,积极探索社保费征缴争议处置新思路。

基于梯度提升决策树的三组元精馏流程结构最优化

针对三组元精馏流程结构最优选择问题,提出一种基于梯度提升决策树(gradient boosting decision tree,GBDT)的机器学习方法,利用7种精馏流程结构分离9种三组元混合物的经济评价结果数据用于模型训练。分别应用传统决策树和GBDT模型对多个实际案例进行验证,结果显示无论是对已知物系还是未知物系,提出的GBDT模型相较传统决策树模型具有更高的预测准确率。

相对费用函数法和动态规划法确定最优精馏流程

采用相对费用函数计算精馏分离的相对费用,再用动态规划法确定了多组分分离的最优精馏流程,对新流程的开发和校核流程的合理性具有参考价值。

基于全流程最优的工业园区企业废水处理技术评估

由于排水去向的不同,一般的行业水污染技术评估方法对工业园区内企业废水处理技术评估并不适用.为此,本文尝试基于工业园区废水处理全流程最优的角度,以工业园区末端污水处理厂出水稳定达标为目的,通过引入BOD/CODcr比、占标率等提出新的评价指标,建立了园区企业废水处理技术的评估方法,并用该评估方法在天津某工业园区企业废水处理技术进行了应用,结果显示园区企业废水处理技术中评分较低(<70分)的均含有生化处理工艺段,反映出工业园区企业层级过度生化处理加剧了园区末端污水处理厂的碳源缺乏问题,并不利于园区污水处理的总体的稳定达标,因而建议园区企业废水处理应尽量减少生化处理的选用.同时,该结果也表明所构建的评估模型科学合理、符合实际.

业务流程模型抽象中最优子流程数的确定

根据业务流程模型的特征,基于笔者前期工作中给出的两个不同约束条件下的受限k-means行为聚类算法,提出确定最优子流程数的方法。基于对流程结构的假设,同时结合行为语义的经验阈值限定,给出了确定子流程数恰当上限值的方法,以达到减少循环次数的目的。根据k值的变化,分别基于子流程结构紧密性特征和流程结构树,在循环过程中设计增量式方法,对簇中心进行简便的递增;设计合理的有效性指标,对抽象结果模型进行评估,进而生成最佳子流程数;利用真实的流程模型库对设计的方法进行实验验证,得到的最优子流程数与人工设计的结果非常接近。

流程环节优控法在生殖中心护理管理中的应用

目的主要分析流程环节有优控法在生殖中心护理管理中的应用。方法于2018年1月开始流程环节优控法,选取200例患者为研究对象;同时回顾性分析我院2017年度生殖中心护理管理现状,并以同一时间200例患者,评估流程环节优控法的应用效果。结果在实施流程环节优控法前,患者对护理管理的满意度为94.5%(189/200),在实施流程环节优控法后,则达到了100%(200/200),差异有统计学意义(P<0.05)。结论流程环节优控法在生殖中心护理管理中具有理想的应用效果,能够提高患者满意度,因此应该在更多地区做进一步推广。

时间Petri网和启发式搜索在流程调优中的应用

本文利用时间Ｐｅｔｒｉ网对流程调优问题进行建模，和人工智能上的启发式搜索算法，进行求解，这就把时间Ｐｅｔｒｉ网和启发式搜索结合起来，可解决一些较为复杂的流程调优问题。

长叶片叉形叶根销拆卸工艺研究

文章详细论述了常规火电汽轮机机组在运行过后通流改造时,低压转子的末级长叶片叉形叶根销的拆卸工艺。通过对不同销钉材质、机组锈蚀、原始装配等实际情况进行具体分析,制定出了快速、安全、高效的最优拆卸方案和流程,确保了机组质量,保证了转子改造周期。

Variations in tidal currents and suspended sediment concentration of the upper part of the North Channel of Changjiang Estuary over the past 10 years

The tidal current duration （TCD） and velocity （TCV） and suspended sediment concentration （SSC） were measured in the dry season in December, 2011 and in the flood season in June, 2012 at the upper part of the North Channel of Changjiang Estuary. They were assimilated with the measured data in 2003, 2004, 2006 and 2007, using the tidal range＇s proportion conversion. Variations in TCD and TCV, preferential flow and SSC have been calculated. Influences of typical engineering projects such as Qingcaosha fresh water reservoir, Yangtze River Bridge, and land reclamation on the ebb and flood TCD, TCV and SSC in the North Channel for the last 10 years are discussed. The results show that： （1） currently, in the upper part of North Channel, the ebb tide dominates; after the construction of the typical projects, ebb TCD and TCV tends to be larger and the vertical average ebb and flood SSC decrease during the flood season while SSC increases during the dry season; （2） changes in the vertical average TCV are mainly contributed by seasonal runoff variation during the flood season, which is larger in the flood season than that in the dry season; the controlling parameters of increasing ebb TCD and TCV are those large-scale engineering projects in the North Channel; variation in SSC may result mainly from the reduction of basin annual sediment loads, large-scale nearshore projects and so on.

Study on the general layout of semi-submersible offshore drilling platforms based on process flow

The general layout of 6th generation semi-submersible drilling platforms is the main factor impacting the efficiency of their drilling operations. This paper provides a compound/integrated algorithm based on process flow that is aimed at improving efficiency, while giving attention to stability and safety at the same time. The paper describes the process flow of dual drilling centers and a hierarchical division of rigs based on the different modes of transportation of various drilling support systems. The general layout-centripetal overall arrangement spatially was determined based on drilling efficiency. We derived our modules according to drilling functionality; the modules became our basic layout units. We applied different layout algorithm to mark out the upper and lower decks. That is, the upper deck was designed based on the lowest transportation cost while the lower deck＇s calculations were based on the best-fit scope. Storage configurations in columns and pontoons were also considered for the layout design. Finally the center of gravity was taken into consideration and the general layout was adjusted accordingly, to result in an optimal center of gravity. The methodology of the general layout can provide a reference for implementation of domestic designs of semi-submersible rigs.

湖南某地砂岩石英矿提纯工艺研究

该文结合湖南某地石英砂岩矿基本特性,进行实验室流程探索试验,利用实验室常规选矿技术以及现代矿物分析技术,最终根据实验数据参数确定出最优选矿流程,为该地区优质硅质原料的生产提供重要指导依据。

Modeling, Simulation and Optimization of a Whole Industrial Catalytic Naphtha Reforming Process on Aspen Plus Platform

A new 18-lump kinetic model for naphtha catalytic reforming reactions is discussed. By developing this model as a user module, a whole industrial continuous catalytic reforming process is simulated on Aspen plus plat-form. The technique utilizes the strong databases, complete sets of modules, and flexible simulation tools of the Aspen plus system and retains the characteristics of the proposed kinetic model. The calculated results are in fair agreement with the actual operating data. Based on the model of the whole reforming process, the process is opti-mized and the optimization results are tested in the actual industrial unit for about two months. The test shows that the process profit increases about 1000yuan·h-1 averagely, which is close to the calculated result.

Process optimization for treatment of methyltin mercaptide effluents using modified semi-coke

The central composite process optimization was performed by response surface methodology technique using a design for the treatment of methyltin mercaptide with modified semi-coke. The semi-coke from the coal industry was suitably modified by treating it with phosphoric acid, with a thermal activation process. The objective of the process optimization is to reduce the chemical oxygen demand （COD） and NH4＋-N in the methyltin mercaptide industrial effluent. The process variables considered for process optimization are the semi-coke dosage, adsorption time and effluent pH. The optimized process conditions are identified to be a semi-coke dosage of 80 g/L, adsorption time of 90 min and a pH value of 8.34. The ANOVA results indicate that the adsorbent dosage and pH are the significant parameters, while the adsorption time is insignificant, possibly owing to the large range of adsorption time chosen. The textural characteristics of modified semi-coke were analyzed using scanning electron microscopy and nitrogen adsorption isotherm. The average BET surface area of modified semi-coke is estimated to be 915 mE/g, with the average pore volume of 0.71 cm3/g and a average pore diameter of 3.09 nm, with micropore volume contributing to 52.36%.

Synthesis of Heat Integrated Complex Distillation Systems via Stochastic Optimization Approaches

This paper addresses the application of stochastic optimization approaches to the synthesis of heatintegrated complex distillation system, which is characterized by large-scale combinatorial feature. Conventionaland complex columns, thermally coupled (linked) side strippers and side rectifiers as well as heat integration betweenthe different columns are simultaneously considered. The problem is formulated as an MINLP (mixed-integernonlinear programming) problem. A simulated annealing algorithm is proposed to deal with the MINLP problemand a shortcut method is applied to evaluate all required design parameters as well as the total cost function. Twoillustrating examples are presented.

Process simulation and optimization of flow field in wet electrostatic precipitator

To improve the dust removal performance of the wet electrostatic precipitator(WESP), a flow field optimization scheme was proposed via CFD simulation in different scales. The simplified models of perforated and collection plates were determined firstly. Then the model parameters for the resistance of perforated and collection plates, obtained by small-scale flow simulation, were validated by medium-scale experiments. Through the comparison of the resistance and velocity distribution between simulation results and experimental data, the simplified model is proved to present the resistance characteristics of perforated and collection plates accurately. Numerical results show that after optimization, both the flow rate and the pressure drop in the upper room of electric field regions are basically equivalent to those of the lower room, and the velocity distribution in flue inlet of WESP becomes more uniform. Through the application in practice, the effectiveness and reliability of the optimization scheme are proved, which can provide valuable reference for further optimization of WESP.

A Priori and A Posteriori Error Estimates of Streamline Diffusion Finite Element Method for Optimal Control Problem Governed by Convection Dominated Diffusion Equation

In this paper,we investigate a streamline diffusion finite element approxi- mation scheme for the constrained optimal control problem governed by linear con- vection dominated diffusion equations.We prove the existence and uniqueness of the discretized scheme.Then a priori and a posteriori error estimates are derived for the state,the co-state and the control.Three numerical examples are presented to illustrate our theoretical results.

An efficient latent variable optimization approach with stochastic constraints for complex industrial process

For complex chemical processes,process optimization is usually performed on causal models from first principle models.When the mechanism models cannot be obtained easily,restricted model built by process data is used for dynamic process optimization.A new strategy is proposed for complex process optimization,in which latent variables are used as decision variables and statistics is used to describe constraints.As the constraint condition will be more complex by projecting the original variable to latent space,Hotelling T^2 statistics is introduced for constraint formulation in latent space.In this way,the constraint is simplified when the optimization is solved in low-dimensional space of latent variable.The validity of the methodology is illustrated in pH-level optimal control process and practical polypropylene grade transition process.

An ECN-based Optimal Flow Control Algorithm for the Internet

According to the Wide Area Network model, we formulate Internet flow control as a constrained convex programming problem, where the objective is to maximize the total utility of all sources over their transmission rates. Based on this formulation, flow control can be converted to a normal unconstrained optimization problem through the barrier function method, so that it can be solved by means of a gradient projection algorithm with properly rate iterations. We prove that the algorithm converges to the global optimal point, which is also a stable proportional fair rate allocation point, provided that the step size is properly chosen. The main difficulty facing the realization of iteration algorithm is the distributed computation of congestion measure. Fortunately, Explicit Congestion Notification (ECN) is likely to be used to improve the performance of TCP in the near future. By using ECN, it is possible to realize the iteration algorithm in IP networks. Our algorithm is divided into two parts, algorithms in the router and in the source. The router marks the ECN bit with a probability that varies as its buffer occupancy varies, so that the congestion measure of links can be communicated to the source when the marked ECN bits are reflected back from its destination. Source rates are then updated by all sessions according to the received congestion measure. The main advantage of our scheme is its fast convergence ability and robustness; it can also provide the network with zero packet loss by properly choosing the queue threshold and provide differentiated service to users by applying different utility functions.

Conceptual Design of a Butyl-levulinate Reactive Distillation Process by Incremental Refinement

Butyl-levulinate has been identified as a promising fuel candidate with high oxygen content. Its com- bustion in diesel engines yields very low soot and NOx emissions. It can be produced by the esterification of butanol and levulinic acid, which themselves are platform chemicals in a biorenewables-based chemical supply chain. Since the equilibrium of esterification limits the conversion in a conventional reactor, reactive distillation can be applied to overcome this limitation. The presence of the high-boiling catalyst sulfuric acid requires a further separation step downstream of the reactive distillation column to recover the catalyst for recycle. Optimal design specifications and an optimal operating point are determined using rigorous flowsheet optimization. The challenging optimization problem is solved by a favorable initialization strategy and continuous reformulation. The design identified has the potential to produce a renewable transportation fuel at reasonable cost.

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.