Cost-benefit Analysis of Scale Pig Breeding in Shandong Province Based on Modified Entropy Weight-TOPSIS Model

According to the relevant statistical data in National Agricultural cost-benefit Data Compilation(2001- 2013),we use the modified entropy weight- TOPSIS model to research the cost-benefit status of scale pig breeding in Shandong Province from the perspective of comparing it with that of the entire country and 9 other main pig producing areas. The results show that compared with the national average,the cost-benefit ratio of small scale pig breeding in Shandong Province is lower,while the cost-benefit ratio of medium scale and large scale pig breeding is significantly improved; the cost-benefit ratio of small scale pig breeding in Shandong Province is basically the same as that in 9 other main pig producing areas,while the cost-benefit ratio of medium scale and large scale pig breeding is higher; the output value of main products and the purchase price of piglet are two major bottlenecks restricting the cost-benefit improvement of scale pig breeding in Shandong Province.

Comprehensive security risk factor identification for small reservoirs with heterogeneous data based on grey relational analysis model

Identification of security risk factors for small reservoirs is the basis for implementation of early warning systems.The manner of identification of the factors for small reservoirs is of practical significance when data are incomplete.The existing grey relational models have some disadvantages in measuring the correlation between categorical data sequences.To this end,this paper introduces a new grey relational model to analyze heterogeneous data.In this study,a set of security risk factors for small reservoirs was first constructed based on theoretical analysis,and heterogeneous data of these factors were recorded as sequences.The sequences were regarded as random variables,and the information entropy and conditional entropy between sequences were measured to analyze the relational degree between risk factors.Then,a new grey relational analysis model for heterogeneous data was constructed,and a comprehensive security risk factor identification method was developed.A case study of small reservoirs in Guangxi Zhuang Autonomous Region in China shows that the model constructed in this study is applicable to security risk factor identification for small reservoirs with heterogeneous and sparse data.

Evaluation on Urban Land Ecological Security Based on the PSR Model and Matter-Element Analysis: A Case Study of Zhuhai, Guangdong, China

As one of the Special Economic Zones since the reform and opening up, Zhuhai has developed during the past 30 years. Its economic development, industrial structure and ecological environment have undergone great changes. Research on changes in Zhuhai’s land ecological security is of great significance. Using relevant data from 2007-2012, this study established a land ecological security assessment system based on the PSR conceptual framework model. The system contained 18 indicators from 3 aspects according to the concrete features of Zhuhai. Then we used the matterelement analysis and the improved entropy weight to analyze and evaluate the land ecological security of Zhuhai. The results showed that: from 2007 to 2012, the levels of the land ecological security of Zhuhai were “secure”, and the value increased year by year;as the land ecological security response value increased, Zhuhai was capable of solving land ecosystem problems. However, it should be noted that the structure of land ecosystem in Zhuhai has not formed and that rapid expansion of construction land has caused the shortage of cultivated land and other issues. Measures should be taken to control the construction area, improve land intensive utilization and improve the land ecological security.

System structural analysis of communication networks based on DEMATEL-ISM and entropy

A method of system structural analysis based on decision making trial and evaluation laboratory together with interpretative structural modeling(DEMATEL-ISM) and entropy is proposed to clarify system structure of communication networks and analyze mutual influencing degree between different networks.Mutual influencing degree and importance degree of elements are both considered to determine weights of elements,and the entropy of expert judgment results is used to omit unimportant influence relation and simplify system structure.Structural analysis on communication networks system shows that the proposed method can quantificationally present weights and mutual influencing degree of elements,and reasonably simplify system structure.The results indicate the rationality and feasibility of the method.

A grey model with periodic term for sea-level analysis and its application to the Guangxi coast

A grey model with periodic term for sea-level analysis is presented.The present model keeps some advantages of tea GM (1, 1 )model, which well reflects the trend of sea-level changes and gives out the change rate as well as the acceleration of sea level conveniently.level conveniently.In addition, the present model can reproduce the periodic phenomena of sealevel, hence, it overcomes the shortcomings of the GM(1,1) model that is unsuitable for forecasting monthly mean sealevel with apparent periodicity, and its prediction accuracy is improved.The present model is used to analyse Guangxi coast sea level,the results show that the rise rates of relative sea level at Beihai, Weizhou and Bailongwei are 1 .67,2 .51 and 0.89 mm/a respectively, the relative sea level at Shitoubu has a falling trend with a rate of 0. 5- 1 .0 mm/a, the rise rate of eustatic sea level along the Guangxi coast is 2 .0 mm/a. In comparison with the model with a lineartrend term plus a periodic term, the simulation accuracies of both models are about the same.

Quantitative analysis of urban intelligence and ranking the potential of individual initiatives within a designed smart growth plan

Smart growth has been gaining increasing attention among academia and practitioners as a new technology-based solution to meet the city disease challenges.In the research,we mainly accomplish two tasks.One builds an evaluation system to measure the smart growth of a city.And the other develops a growth plan.Firstly,coordination coefficient(C value) model is applied to measure the smart degree.To begin with,we divide the indicators into four aspects which involve five parameters.Then,entropy method is used to calculate the weight of every parameter.After normalizing data of indicators,we set up a smart growth indicator evaluation system.Aiming to assessing the detailed performances,we rank the eight cities according to the score of C value which corresponds to our normal cognition.Secondly,based on Salvo combat model and dynamic trend analysis model,We draw up a 20-year growth plan with a period of 5 years for the two cities we choose.The Salvo model is adopted to describe the dynamic process.Dynamic trend analysis model is introduced to gain the optimum solution and the optimal point in every stage.In addition,compared with the point of every stage,we can obtain the proportion of investment in different stages.Thirdly,to evaluate the sensitivity of our model with the OFAT Method,we adjust the parameters k_1,k_2 and O_(ij) approximately.It comes out that the change of k_1,k_2 and O_(ij) has an impact on the C value.But the sensitivity of k_1,k_2 is higher.Lastly,we analyze the influence caused by population growth.To a certain extent,it can be concluded that the plan we made can alleviate the negative impact of population growth through the analysis of the chart.

基于集对分析理论和数字化平台的山岭隧道塌方风险评价

为更准确、更科学地完成山岭隧道塌方风险评价,提出一种基于层次分析法(AHP)-熵值法(Entropy)集对分析理论的山岭隧道塌方风险评价方法。首先,选取地质因素、设计因素、施工因素、管理因素4项因素作为塌方风险评价指标体系的准则层,选取12项因素作为指标层,运用层次分析法和熵值法分别计算2级指标权重;然后,引入集对分析理论确定指标联系度,并结合置信度准则对塌方风险的等级进行判定;接着,利用Grasshopper以及Python软件,对集对分析理论进行可视化程序开发,并将其与隧道-地质BIM交互模型进行耦合,建立基于AHP-Entropy集对分析模型的隧道塌方风险数字化分析平台;最后,结合重庆某隧道实际工程,验证隧道塌方风险评价的高效化、可视化效果。研究表明:基于集对分析理论的山岭隧道塌方风险评价数字化分析平台运行时间约为2 s,与传统的隧道塌方风险评价方法相比可以大大提高风险评价效率,同时利用AHP-Entropy法确定评价指标权重,提高了评价结果的可靠性。

农产品流通数字化对农村居民生活水平的影响研究

在理论分析的基础上,构建农村居民生活水平和农产品流通数字化水平评价指标体系。基于2013年—2021年我国31个省(区)市的面板数据,采用因子分析法分别测算农村居民生活水平和农产品流通数字化水平数值,并进一步运用固定效应模型分析农产品流通数字化水平对农村居民生活水平的影响。发现农产品流通数字化水平有利于提升农村居民生活水平,在农业发达地区,农产品流通数字化水平对农村居民生活水平的提升作用更强。据此从加强农业欠发达地区农村数字化基础设施建设、提升农民数字素养和加大政府扶持力度三个方面提出相应建议。

基于模态分解及GRU-XGBoost短期电力负荷预测

精确的短期电力负荷预测能有效提高电力系统运营水平。针对电力负荷数据受多种因素影响,波动性和随机性强等问题,提出了一种基于模态分解及混合模型的负荷预测方法。首先,采用主成分分析法(principal component analysis,PCA)对负荷特征向量进行处理,去掉冗余信息,再用完全自适应噪声集合经验模态分解(complete ensemble empirical mode decomposition with adaptive noise,CEEMDAN)将历史负荷分解为简化的几个子序列;其次,选择引入样本熵(sample entropy,SE)来计算子序列熵值,将相近的子序列重构得到随机、细节、低频和趋势分量后选用不同结构门控循环单元(gate recurrent unit,GRU)对不同分量类型进行预测,再使用极致梯度提升模型(extreme gradient boosting,XGBoost)对各分量残差进行拟合,各重组序列的预测值为GRU预测值与XBGoost拟合值之和,重组各序列得到最终预测值。选取3年时电力负荷数据进行实验,结果表明,所提模型的均方根误差(root mean square error,RMSE)、平均绝对百分比误差(mean absolutepercentage error,MAPE)和平均绝对误差(mean absolute error,MAE)分别为370.676 MW、99.07%和246.89 MW,与单一模型和混合模型相比,实现了评价指标的明显减少。

中国降碳-减污-扩绿-增长协同发展空间关联网络特征及影响因素研究

协同推进降碳-减污-扩绿-增长已成为我国经济社会发展全面绿色转型的必然选择。基于我国30个省份面板数据(不包含港澳台地区以及西藏自治区数据),运用熵值法、耦合协调度模型和社会网络分析方法,分析各省份间降碳-减污-扩绿-增长协同演变趋势及空间关联网络特征。结果表明:①各省份降碳-减污-扩绿-增长协同效应的变化趋势基本一致,但在空间上呈现东部>东北>西部>中部的区域不均衡特征。②降碳-减污-扩绿-增长协同效应呈现以东部地区为核心的复杂空间网络结构,省际间空间关联性呈上升态势,但网络结构稳定性还有待提高。③北京市、天津市和上海市等地区凭借优越区位,在关联网络中处于主导地位,而宁夏回族自治区、黑龙江省和新疆维吾尔自治区等地区对其他地区的影响较小。④北京市、天津市和上海市等地区属于“主受益”板块,浙江省、广东省等地区属于“经纪人板块”,安徽省、江西省和湖北省等地区属于“净溢出”板块。⑤降碳-减污-扩绿-增长协同效应的空间关联网络受多种因素共同影响,人力资本水平、科技投入、市场化水平和数字经济发展均有利于空间关联关系的建立。研究显示,中国降碳-减污-扩绿-增长协同效应存在空间关联性,需进一步加强省份间的绿色合作与交流,共同推动降碳-减污-扩绿-增长协同发展。

基于TOPSIS熵权法的湖南省茶产业综合竞争力评价及对比研究

分析了湖南省茶产业的发展现状,基于钻石模型理论从六大要素构建湖南省茶产业竞争力评价指标体系,并运用熵权TOPSIS模型对湖南省茶产业竞争力进行评价与对比,利用聚类分析法对全国16个省市的茶产业竞争力进行实证分析,并有针对性地提出提升湖南省茶产业竞争力的对策及建议。

基于熵权优化FFR-BN法的梁式渡槽运行风险评价

梁式渡槽运行受多种风险因素影响,各因素之间联系及作用关系的复杂性及对因素认知的局限性常常造成风险评价结果不够精确,对此提出基于熵权优化的FFR-BN法开展梁式渡槽运行风险分析。此方法采用熵权法对主观与客观权重进行融合优化,有效解决了传统评价方法中专家打分低精度及强主观性问题。通过解释结构模型将梁式渡槽复杂系统拆分为各种子系统(因素、要素),随后分析风险因子之间的直接二元关系,从而构建复杂系统内风险因子、风险事件之间的逻辑关系框架,并在此基础上计算因子的模糊失效概率,运用贝叶斯网络的反向推理技术确定风险事件发生的最大可能路径、梁式渡槽运行风险中决定性风险因子。通过此方法计算得出实例梁式渡槽综合风险等级为Ⅰ级,关键致灾风险因子为设计洪水增加、钢筋失效、表层混凝土剥蚀、材料特性等,受所处区域地形及地质条件影响,裹头边坡防护问题导致的风险致因链是最大可能风险致因链。

基于水动力模型与风险指标体系的丘陵区中小流域洪水风险分析

中小流域常处于山区丘陵等复杂地形,地形破碎、居民点分散,在研究其洪水风险时,采用传统方法构建区域整体模型工作量大、计算时间长,因此亟需进一步优化现有模型构建方法。以地处浙江西部丘陵山区的建德市为例,通过构建一维水动力模型得到区域多种洪水要素,结合洪水风险指标体系定位区域重点风险点位,对重点区域构建一二维耦合模型精细化评估洪水风险。结果表明,采用先找薄弱环节再构造重点区域精细化模型的方法评估洪水风险,减少建德市建模面积约61%,大幅提高了模型计算效率;构建的一二维耦合模型具有较高的精度,河道洪峰水位误差低于0.2 m,空间淹没范围与调查结果基本一致;识别的区域防洪薄弱区域为梅城镇、三河村和大洋镇,其中梅城镇洪灾风险最高,三河村居民区被淹没比例最高,大洋镇淹没农田面积最大,这些区域防洪工程和应急抢险能力亟待提升。研究结果可为类似地区的洪水风险分析具有参考价值。

基于逼近理想解排序法模型的大型医疗设备管理质量评价

目的:研究基于逼近理想解排序法(TOPSIS)模型的大型医疗设备管理质量评价,以改善医疗设备管理质量评价效果。方法:采用文献分析及专家咨询方式初步确定医疗设备管理质量评价指标,采用主基底分析法对评价指标初选结果作为变量筛选,以降低原始评价指标数据维度,获得具有突出代表性的简化指标集合,通过熵权法计算各评价指标权重,利用TOPSIS模型确定各评价目标至正、负理想解的距离,依据该距离计算评价对象与最优管理方案间的贴合度,基于贴合度分值实现大型医疗设备管理质量等级确定。选取2022年北京朝阳医院、北京中医药大学第三附属医院等医院临床在用的82台大型医疗设备,采用TOPSIS模型对大型医疗设备管理质量进行评价,分析设备管理质量评价效果与实际设备管理质量结果的差异性。结果:基于TOPSIS模型的大型医疗设备管理质量评价指标包含4个一级指标、9个二级指标和16个三级指标。采用该评价指标对医院的大型医疗设备管理质量进行评价,评价结果与实际管理质量结果基本一致,二者在同一等级区间。结论:TOPSIS模型用于医疗机构大型医疗设备管理质量评价,可实现评价指标权重计算和医疗设备管理质量等级评估,质量评价结果与实际设备管理质量相符。

碳达峰目标下我国碳排放配额地区分配研究

本文基于扩展的STIRPAT模型,结合情景分析法预测2030年碳达峰情景下我国碳排放配额总量。依据公平性、效率性、可行性、可持续性的原则,从减排能力、减排压力、减排潜力和减排责任四个维度来构建碳排放配额地区分配指标体系,利用改进熵权法确定各省(区、市)碳配额分配权重,然后将碳达峰情境下碳排放配额总量在我国30个省(区、市)进行分配,并分析各省(区、市)未来碳排放空间。结果表明:①我国仅在低速发展情景下可能实现“以较低峰值在2030年碳达峰、2060年碳中和”的战略目标;②综合分配原则下,北京、上海、天津、海南和重庆等地配额较多,内蒙古、陕西、河北、山东和山西等地配额较少;③全国未来碳排放空间略有盈余,其中山东、山西、河北、内蒙古等省(区)碳排放赤字严重,海南、北京、重庆、天津等地碳排放空间存在较大盈余。

新疆数字经济发展水平的多维测度及预测——基于熵值法和灰色关联分析法

文章基于2013—2021年新疆数字经济发展的相关面板数据,从经济发展水平、数字通信基础设施、社会创新能力、企业电子化水平四个维度,构建起新疆数字经济发展综合水平的评价指标体系,并通过熵值法测算各个指标的权重,进而对2013—2021年新疆数字经济发展水平进行综合评价。此外,采用灰色关联分析法探讨各个子系统与新疆数字经济发展之间的关联性,同时利用GM(1,1)灰色预测模型,对短期新疆数字经济发展的总体趋势进行预测。结果表明:新疆数字经济发展水平总体呈逐年提升的时序特征,从各准则层看,数字通信基础设施提升幅度最大,而社会创新能力不足;根据关联度测算结果可知,经济发展水平对数字经济发展的影响较为显著,社会创新能力仍是新疆发展数字经济的短板,但未来新疆数字经济的发展仍有很大潜力。

我国区域新质生产力水平测度、结构分解及空间收敛性分析

本文基于新质生产力的内涵,围绕新制造、新服务、新业态和综合指标来构建我国区域新质生产力水平测度指标体系;利用熵权TOPSIS和全排列多边形图示指示法对我国区域新质生产力水平进行测度并将各指标集合进行可视化呈现;同时运用QAP模型分析、空间计量模型对我国区域新质生产力水平进行结构分解和收敛性分析。结果表明:(1)我国新质生产力整体上处于稳步上升的趋势,各区域新质生产力水平呈现“南部沿海>东部沿海>北部沿海>均值>长江中游>西南地区>黄河中游>东北>西北”的梯度格局;(2)新制造和新服务指标的提升有助于新质生产力水平的提升;(3)我国新质生产力水平存在绝对β收敛,八大地理分区存在绝对俱乐部收敛,在影响因素的扰动下大部分区域新质生产力水平表现为加快速度收敛。

基于阶梯碳价和自适应分时电价的电动汽车有序充电

将阶梯碳价与分时电价的耦合关系进行内联,提出了一种基于阶梯碳价和自适应分时电价的电动汽车有序充电策略。利用蒙特卡罗方法生成电动汽车的无序充电场景;建立阶梯碳价模型和自适应分时电价模型;以电网日负荷均方差最小、电动汽车用户充电总成本最小和发电商碳交易成本最小为目标函数,建立电碳双定价机制下的电动汽车有序充电模型,并采用带精英策略的快速非支配排序遗传算法(NSGA-Ⅱ),结合熵权逼近理想解排序(TOPSIS)模型求解Pareto解集的最优折中解;对4种碳交易机制下的优化结果进行对比分析。仿真结果表明,在有奖励阶梯碳价和自适应分时电价机制下电网负荷波动平抑效果最佳且发电商碳交易成本最小,验证了所提模型的合理性和可行性。

中国城镇化、农业机械化和城乡发展差距的综合评价及研究

选取中国2006—2021年有关城镇化、农业机械化和城乡发展差距的时间序列数据,构建城乡发展差距综合指标评价体系,运用熵权TOPSIS法测算各个年度的综合得分,以此评估城乡发展差距的演变.通过构建向量误差修复模型,分析了中国城镇化与农业机械化对城乡发展差距水平的时变特征.结果表明,城乡发展差距自2007年起总体呈波动性下降趋势,在2013年后下降趋势变缓,2019年后有小幅度回升.城镇化水平、农业机械化水平和城乡发展差距三者之间具备相关性,农业机械化水平对缩小城乡差距的效果最为明显且可以产生长期影响,城镇化对城乡发展差距的缩小也在第2期后起正向作用.提出了加强城乡融合的顶层设计以及加快提高农机装备水平等相关政策建议,为缩小城乡发展差距水平提供相关借鉴.

6kV高压电动机故障智能诊断方法

针对6 kV高压电动机故障智能诊断方法存在错诊率较高和诊断响应时间较长的问题,提出6k V高压电动机故障智能诊断方法。利用无线传感器采集电动机运行数据,利用降噪自编码网络模型对数据去噪处理,利用小波包分析技术获取数据小波包能量熵信息,提取数据特征,根据计算故障特征频率,诊断电动机故障类型,以完成6 kV高压电动机故障智能诊断。实验证明,该设计方法错诊率在1%以内,能在1s内完成故障诊断,具有良好的应用前景。