Clinical Observation on 129 Cases of Cervical Spondylopathy Treated by Acupuncture Combined with Electral Acupuncture and Mas

ＣｌｉｎｉｃａｌＯｂｓｅｒｖａｔｉｏｎｏｎ１２９ＣａｓｅｓｏｆＣｅｒｖｉｃａｌＳｐｏｎｄｙｌｏｐａｔｈｙＴｒｅａｔｅｄｂｙＡｃｕｐｕｎｃｔｕｒｅＣｏｍｂｉｎｅｄｗｉｔｈＥｌｅｃｔｒａｌＡｃｕｐｕｎｃｔｕｒｅａｎｄＭａｓｓａｇｅ￥ＬｉＣｈａｎｇｌｉｎｇ...

Effect of Surface Charge on Flashover for Oil-Pressboard Insulation under AC-DC Combined Electric Field

For converter transformer, AC-DC combined electric field can trigger space charge accumulation on oil-impregnated pressboard interface. The accumulation of space charge on oil-pressboard interface can result in electric field distortion, trend to trigger surface discharge of barriers. This paper studied the influence of surface charge on flashover voltage of oil-impregnated pressboard under AC-DC combined electric field. The study finds that the flashover voltage of oil-pressboard interface under negative polarity DC superimposed AC electric field is higher than that.of positive DC superimposed AC voltage to form composite electric field. It was found that homopolar surface charge has been accumulated on the interface of oil-pressboard with positive or negative DC voltage through measuring surface potential by the electrostatic capacitive probe. The surface charge produced electric field in the opposite direction, which weakening the synthetic electric field strength. What＇s more, under the same conditions, the negative surface charge density oil-pressboard is much larger than the positive.

Fast Calculation Method of Energy Flow for Combined Electro-Thermal System and Its Application

In recent years, Combined electro-thermal system has developed rapidly. In order to provide the initial data for the analysis of the combined electro-thermal system, a practical energy flow calculation method for the combined electro-thermal system is proposed in this paper. Based on the detailed analysis of the topology structure of the heating network and its hydraulic and thermodynamic model, the forward-backward sweep method for the heat flow of the heating network is established, which is more suitable for the actual radial heating network. The electric and thermal coupling model for heating source, such as thermoelectric unit and electric boiler is established, and the heat flow of heating network and the power flow of power grid are calculated orderly, thus a fast calculation method for the combined electro-thermal system is formed. What’s more, a combined electro-thermal system with two-stage peak-shaving electric boiler is used as the example system. This paper validates the effectiveness and rapidity of this method through the example system, and analyzes the influence for the energy flow of combined electro-thermal system caused by the operating parameters such as the installation location of electric boiler, the outlet water temperature of heat source and the outlet flow rate, etc.

Combined Prediction for Vehicle Speed with Fixed Route

Achieving accurate speed prediction provides the most critical support parameter for high-level energy management of plug-in hybrid electric vehicles.Nowadays,people often drive a vehicle on fixed routes in their daily travels and accurate speed predictions of these routes are possible with random prediction and machine learning,but the prediction accuracy still needs to be improved.The prediction accuracy of traditional prediction algorithms is difficult to further improve after reaching a certain accuracy;problems,such as over fitting,occur in the process of improving prediction accuracy.The combined prediction model proposed in this paper can abandon the transitional dependence on a single prediction.By combining the two prediction algorithms,the fusion of prediction performance is achieved,the limit of the single prediction performance is crossed,and the goal of improving vehicle speed prediction performance is achieved.In this paper,an extraction method suitable for fixed route vehicle speed is designed.The application of Markov and back propagation(BP)neural network in predictions is introduced.Three new combined prediction methods,all named Markov and BP Neural Network(MBNN)combined prediction algorithm,are proposed,which make full use of the advantages of Markov and BP neural network algorithms.Finally,the comparison among the prediction methods has been carried out.The results show that the three MBNN models have improved by about 19%,28%,and 29%compared with the Markov prediction model,which has better performance in the single prediction models.Overall,the MBNN combined prediction models can improve the prediction accuracy by 25.3%on average,which provides important support for the possible optimization of plug-in hybrid electric vehicle energy consumption.

Combining Market-Based Control with Distribution Grid Constraints when Coordinating Electric Vehicle Charging

The charging of electric vehicles(EVs) impacts the distribution grid, and its cost depends on the price of electricity when charging. An aggregator that is responsible for a large fleet of EVs can use a market-based control algorithm to coordinate the charging of these vehicles, in order to minimize the costs. In such an optimization, the operational parameters of the distribution grid, to which the EVs are connected, are not considered. This can lead to violations of the technical constraints of the grid(e.g., undervoltage, phase unbalances); for example, because many vehicles start charging simultaneously when the price is low. An optimization that simultaneously takes the economic and technical aspects into account is complex, because it has to combine time-driven control at the market level with eventdriven control at the operational level. Diff erent case studies investigate under which circumstances the market-based control, which coordinates EV charging, conflicts with the operational constraints of the distribution grid. Especially in weak grids, phase unbalance and voltage issues arise with a high share of EVs. A low-level voltage droop controller at the charging point of the EV can be used to avoid many grid constraint violations, by reducing the charge power if the local voltage is too low. While this action implies a deviation from the cost-optimal operating point, it is shown that this has a very limited impact on the business case of an aggregator, and is able to comply with the technical distribution grid constraints, even in weak distribution grids with many EVs.

Design of multi-module experiment-rig of vessel electrical propulsion prime mover

Combined power plant is widely used in large or medium surface vessel for its predominant performance. It is important to research on using combined power plant as electrical propulsion prime mover for developing the electric propulsion warship.This paper, designs a multi-module experiment-rig and introduces its composition, working principle and disposition scheme,and carried out the dynamic characteristic experiment of the GTD350 gas turbine.

Bound Polaron in a Quantum Well Under an Electric Field

We conduct a theoretical study on the properties of a bound polaron in a quantum well under an electric field using linear combination operator and unitary transformation methods, which are valid in the whole range of electron-LO phonon coupling. The changing relations between the ground-state energy of the bound polaron in the quantum well and the Coulomb bound potential, the electric field strength, and the well width are derived. The numerical results show that the ground-state energy increases with the increase of the electric field strength and the Coulomb bound potential and decreases as the well width increases.

组合赋权简化ELECTRE法优选桥梁加固方案

为了从众多初步可行的桥梁加固方案中选择最佳方案,研究了组合赋权简化ELECTRE法在桥梁加固方案优选中的应用问题。采用非线性规划方法将层次分析法确定的主观权重和熵值法确定的客观权重进行组合,既考虑了决策者的主观意向,又在一定程度上避免了主观随意性。首次以简化ELECTRE法对备选方案进行综合比选,给出了方案间按优劣程度的完全排序。与经典排序方法ELECTREⅡ相比,简化ELECTRE法排序过程的复杂性和繁琐性,计算效率提高且更便于程序化操作。不再需要设定主观参数,避免了很多主观不确定性因素,提高了分析结果的鲁棒性。算例分析表明选出的最优加固方案与实际采用的相同,并且方案优劣顺序与ELECTREⅡ法、TOPSIS方法的结果一致。

基于改进ELECTRE-IN的小微企业信用评估

基于小微企业有效评价信息匮乏的难题,以非财务指标为重点,纳入水电费等大数据下体现企业违约风险的因素,构建了小微企业信用评价指标体系。引用ELECTRE-IN消除ELECTRE-Ⅲ中由偏好指数产生的放大效应,完善级别高于关系的构造过程。针对ELECTRE-IN主观性强及排序复杂的问题,首先利用BWM-GiNi组合赋权法确定评价指标的综合权重,并根据样本数据极差确定阈值组合,增强其客观性。其次引用可信度法替代蒸馏算法,简化排序过程。最后利用算例对一批小微企业进行排序,算例结果验证了模型的有效性。

基于可编程逻辑控制器的煤矿综采组合开关结构设计

针对有效、统一控制煤矿综采工作面多种采煤设备为目的,设计基于可编程逻辑控制器的煤矿综采工作面配套组合开关结构。该开关结构分为主控制电路、次控制电路,两种电路均与液晶显示模块相连。通过液晶显示模块的界面将电路状态反馈给管理人员,两种控制电路主要通过可编程逻辑控制器和继电器、信号提醒、保护回路相连,分别完成电源供应、警报信息提醒、采煤设备连接状态管理。实验结果表明,在过载、漏电工况中可用电气互锁的方式保证采煤机状态不出现异常变化,完成异常采煤设备的统一管理,最高节能比例达到11.2%,最低节能比例也能达到7.8%,由此证明设计的方法具有一定研究价值。

基于ELECTRE-I法的球磨机大齿轮圈专用润滑脂配方优选

针对润滑脂开发中存在的多指标优选问题,采用ELECTRE-I法对润滑脂配方进行净优势度比较排序,从而获得润滑脂优化配方。以球磨机大齿轮圈润滑脂为例,通过对润滑脂的蒸发性、低温流动性、生物降解性、极压抗磨性及生产成本等指标因素的综合评价分析,建立润滑脂的ELECTRE-I配方优选模型,并得到最佳配方优化方案。该优选模型可根据不同的性能指标要求,筛选出综合性能较好的润滑脂配方,是一种合理可行的润滑脂配方优选方法。

Electricity Pricing for Natural Gas CHP Projects The Higher, the Better?

Regarding the state's policy that gives a higher on-grid electricity price to natural gas CHP (combined heat and power) projects, this paper studies the effect of it on the operation of those projects by theoretical analysis and a case study. It concludes that on-grid electricity price on the high side, compared to heat price, will lead power plants to produce more electricity but less heat, thus causing decrease of the plants' thermal eff iciency and harm to energy saving of the whole society.

基于PLC技术的联合收割机电气控制系统设计

以联合收割机电气控制系统为研究对象,利用可编程控制器(PLC)对联合收割机电气控制系统进行改进,以提高联合收割机运行效率和可靠性。通过对联合收割机的工作原理和液压作动系统进行分析,基于可编程控制器(PLC)进行联合收割机电气系统整体设计,并对电气系统的运行效果进行测试分析。试验结果表明:系统运行可靠,能够获得良好的收割效果,可将收割损失率控制在2%以内,验证了系统运行过程稳定性。

角钢塔螺栓的紧固控制技术

针对角钢塔螺栓紧固作业需求,研究了一种轻量化、扭矩可准确控制的电动扳手.为了解决轻量化问题,提出了一种自抗扰控制器与滑模观测器融合算法,实现了无扭矩传感器的电动扳手扭矩参数估计与控制.首先,将自抗扰控制器引进扭矩环、速度环,在对其总扰动量进行估计的同时得到角加速度的估计值,然后将该角加速度值作为二阶滑模观测器的输入进行紧固扭矩值的估计,解决了二阶滑模观测器中变量的导数值难以获得的问题.仿真和实验结果表明,与传统PID控制器、滑模控制器相比,所提方法可实现扭矩的准确估计,具有扭矩调节时间短,超调小的特点.

一种组合电极电容层析成像重建图像融合方法

提出一种基于电容层析成像(ECT)组合电极重建图像及层次聚类的ECT图像融合方法。首先,构建组合8电极及12电极ECT阵列传感器,研究2种组合传感器激励测量方案;其次,采用层次聚类法对两种组合电极ECT重建图像进行聚类,从而消除重建过程中产生的伪影;最后,将聚类后的2种图像再进行小波融合重建。实验结果表明,相较于原始重建图像,所提方法重建图像平均相对误差最小,最大降幅达到23.4%,平均相关系数最大,最大增幅达到10.56%。

国产首颗全电推进通信卫星星间分离安全性设计

亚太6E卫星是国产首颗全电推通信卫星,也是全球首颗从低地球轨道到地球同步轨道实现全自主轨道转移的通信卫星。亚太6E卫星首先利用独立推进舱的化学推进系统实现快速轨道提升,接着卫星与独立推进舱分离,最终由卫星的全电推进系统完成后续轨道转移任务。星间分离是决定任务成败的关键,首先介绍亚太6E卫星星间连接与分离机构设计,接着依次对连接应力裕度、分离过程近场安全与远场安全开展分析,系统阐述全电推进平台搭配低成本运载火箭工程实践的经验与成果,对后续项目具有一定的参考意义。

计及氢能高效利用和热电灵活输出的综合能源系统源荷灵活运行策略

为进一步发挥氢能高效利用优势,构建绿色低碳能源系统,提出一种计及氢能高效利用和热电联产灵活输出的综合能源系统源荷灵活运行策略。首先,对源侧供能模型进行两方面改进:一是引入含风电制氢、燃气混氢、多能用氢和储氢的氢能利用模型,并考虑到电解水和甲烷化反应过程中的热量散失情况,引入热量回收装置,构建计及热量回收的氢能高效利用模型;二是针对常规热电联产灵活性不足的问题,构建含电锅炉和有机朗肯循环的热电灵活输出模型,以解耦常规热电联产“以热定电”和“以电定热”限制。其次,在荷侧引入含可转移、可削减和可平移的电、热柔性负荷,以缓解电、热负荷峰谷差,并与源侧相结合,形成源荷灵活运行模型。最后,综合考虑阶梯型碳交易成本、设备运行维护成本、弃风成本以及购能成本,建立综合能源系统源荷灵活优化运行模型。采用CPLEX求解器对所提综合能源系统源荷灵活运行模型进行求解,并设置不同场景进行对比。结果表明,相比常规氢能利用模型,考虑所提计及热量回收的氢能高效利用模型时,系统的总成本、碳排放量分别降低了1.92%、4.22%,并且引入热电联产改进模型后,其总成本、碳排放量可进一步降低4.08%、7.32%,实现系统低碳、经济和灵活运行。

某纯电驱动重载车辆能耗预测模型

高精度能耗预测模型是准确预测车辆续驶里程的重要前提。针对载荷大幅度变化且非结构化道路运行的纯电驱动重载车辆,建立其组合能耗模型,该模型由能耗计算基本模型与长短时记忆(Long Short-Term Memory,LSTM)神经网络差值修正两部分组成。基于能量流动过程驱动电机和变速器效率建模,结合汽车行驶动力学建立能耗计算基本模型;采用LSTM神经网络来修正基本模型能耗预测结果与车辆典型工况功率测试值的差值,有效提高了大幅变载荷且低信噪比坡度环境下的车辆能耗预测精度,因此组合能耗模型具有参数简单和模型拟合不需解释能耗规律的优点。经试验测试分析,与VT-Micro能耗模型和径向基(Radial Basis Function,RBF)神经网络能耗模型相比,所提组合能耗模型的功率预测平均误差率分别降低了17.76%和3.35%,能够实现纯电驱动重载车辆复杂工况下能耗的准确实时预测。

肿瘤治疗电场在肿瘤治疗中的应用和机制研究进展

[背景]肿瘤治疗领域缺乏高效、安全的非侵入式治疗方法.近年来,肿瘤治疗电场(tumor treating fields,TTFields)作为一种新兴的非侵入性物理治疗技术,通过释放中频、低强度的交变电场有效抑制肿瘤生长,引发的副作用较小.[进展]目前TTFields已被广泛应用于各类肿瘤治疗的临床研究中,包括脑胶质瘤、间皮质瘤、非小细胞肺癌、胰腺癌、卵巢癌、肝癌及胃癌等.TTFields通过向生物分子施加生物物理力,扰乱肿瘤细胞的生物学功能从而抑制其生长,但具体分子机制尚不明确.为研究TTFields在肿瘤治疗中的分子机制,研究人员通过设计和搭建不同电极和交变电场发生平台,在体外研究TTFields对肿瘤细胞的作用机制.研究发现TTFields干扰细胞分裂、DNA修复、自噬、细胞迁移和细胞膜通透性等生物学过程,也影响血脑屏障、血管生成和肿瘤免疫等肿瘤微环境.[展望]本文回顾了近年来TTFields在肿瘤治疗中的应用、用于体外研究的电极设计和电场发生平台,及其潜在的抗肿瘤机制.然而,TTFields抑制肿瘤生长的分子机制仍需深入研究,评估其对能够自我更新的非肿瘤细胞和终端分化细胞的影响,以减少可能的副作用.这些研究将有助于提升TTFields的治疗潜力,为更多恶性肿瘤的治疗开辟新的可能性.

基于转鼓转速传感的中低速新能源汽车联合制动系统控制方法

中低速新能源汽车是常见的交通工具,但是其制动控制存在响应时间长、控制效果差的问题,设计一种基于转鼓转速传感的中低速新能源汽车联合制动系统控制方法。首先,构建基于转鼓转速传感的中低速新能源汽车动力学方程,采集传感信息,然后,考虑开环控制容易导致控制系统的稳定性和鲁棒性差的问题,基于转鼓转速传感的联合制动系统传递函数推导出开环、闭环双传递函数,最后,根据系统传递函数,设计PID控制器的参数,通过PID控制器输出电-液联合制动控制信号,实现汽车联合制动系统控制。实验结果表明:所提方法的速度-位移曲线与现实速度-位移曲线基本一致,加速误差在-0.5 m/s2~0.5 m/s2范围内,平均制动控制响应时间为0.075 s,具有良好的制动控制能力。