基于音频特征的工程车辆工况识别研究

高效率地使用工程车辆是工程项目管理中节约成本的有效方法，无人监管环境下工程车辆的工况识别，是实现工程车辆高效率使用的有效手段。目前以GPS等技术为核心的车辆智能管理系统未对工程车辆进行工况识别，提出一种基于GRU循环神经网络的工程车辆工况识别方法，通过对工程车辆在不同工况下产生的音频信号进行分析，从中提取Mel倒谱系数作为主要特征，构建GRU循环神经网络模型进行训练和识别。实验结果表明，该方法可以实现对工程车辆工况的有效识别。     

Construction and analysis of photovoltaic directly coupled conditions in PEM electrolyzer

The Markov model and the PEM electrolyzer system model for directly coupled photovoltaic are combined to construct an efficient and reliable working condition that fits the fluctuation characteristics of solar energy. The working condition is designed through genetic algorithm so that the average coupling efficiency of the system can reach 98.8%. Then, the durability and recovery test are conducted on the basis of the constructed conditions. It is found that the attenuation rate at the current density of 1A/cm² under the photovoltaic fluctuating condition reached 7.8mV/h, which is twice that under the constant current condition. The charge transfer impedance (R_ct) is the main factor leading to the degradation. It is proved by the recovery experiment that the increase of R_ct is related to the pollution of metal ions. After pickling to remove some metal ions, R_ct can be significantly reduced by 46.8% and 65.2%, respectively. After the durability test, the voltammetric charges under the photovoltaic fluctuating condition and the constant current condition are reduced by 48.3% and 19.1% It indicates that the photovoltaic fluctuation condition will accelerate the attenuation of the effective reaction area of MEA, which is irreversible even after pickling. It can be observed from the SEM images that the catalyst layer of MEA has more obvious peeling under the photovoltaic fluctuation condition, which is not conducive to material transmission and destroys the transmission channel of ions and electrons. This result can provide a reliable reference for the coupling design of PEM electrolyzer and renewable energy in the future.     

Intrinsic Defect Limit to the Growth of Orthorhombic HfO2 and (Hf,Zr)O2 with Strong Ferroelectricity: First-Principles Insights

It is believed that promoting the fraction of ferroelectric orthorhombic phase (o-phase) through O-poor growth conditions can increase the spontaneous polarization of HfO₂ and (Hf,Zr)O₂ thin films. However, the first-principles calculations show that the growth may be limited by the easy formation of point defects in the orthorhombic and tetragonal phases of HfO₂, ZrO₂, and (Hf,Zr)O₂. Their dominant defects, O interstitial (O_i) under O-rich conditions and O vacancy (V_O) under O-poor condition, have low formation energies and quite high density (10¹⁶–10¹⁹ cm⁻³ for 800–1400 K growth temperature). Especially, O_i has negative formation energy in tetragonal HfO₂ under O-rich condition, causing non-stoichiometry and limiting the crystalline-seed formation during o-phase growth. High-density defects can cause disordering of dipole moments and increase leakage current, both diminishing the polarization. These results explain the experimental puzzle that the measured polarization is much lower than the ideal value even in O-poor thin films and highlight that controlling defects is as important as promoting the o-phase fraction for enhancing ferroelectricity. The O-intermediate condition (average of O-rich and O-poor conditions) and low growth temperature are proposed for fabricating HfO₂ and (Hf,Zr)O₂ with fewer defects, lower leakage current, and stronger ferroelectricity, which challenges the belief that O-poor condition is optimal.     

Event-triggered distributed receding horizon control for tracking and formation of homogeneous multi-agent systems

This paper proposes an event-triggered distributed receding horizon control (DRHC) approach for the formation and tracking problems of homogeneous multi-agent systems. For each agent, an event-triggering condition, based on assumed predictive information of the neighbours, is derived from stability analysis. Considering the uncertain deviation between the assumed and true predictive information, we design a time-varying compatibility constraint for the individual optimization problem. In the event-triggered DRHC algorithm, each agent solves the optimization problem and communicates with its neighbours only when the event-triggering condition is satisfied, so the communication and computation burden are reduced. Moreover, guarantees for the recursive feasibility and asymptotic stability of the overall system are proved. A simulation example is provided to illustrate effectiveness of the proposed approach.     

利用地震品质因子Q比例的分布特征预测南川页岩气藏保存条件

根据地震数据、地质资料和地震属性，开展了南川地区五峰组-龙马溪组下部页岩的地震品质因子Q平面上分布与页岩气保存条件评价研究。针对南川地区页岩气开发中的断裂破碎带，提出了一种获取稳定品质因子Q比例及界限的工作流程和相应的迭代算法。研究表明，地震品质因子Q比例的分布可以快速、直观识别出断裂破碎带的内幕特征与不同类型页岩分布区。其中，断裂破碎带页岩区的品质因子Q比例总体上偏小，大多低于0.2，局部超过0.5，平面上分布杂乱、碎斑状；页岩呈北东向展布的条带，被断裂所撕裂、破碎，保存条件较差。稳定分布的页岩区的品质因子Q比例是较高的，超过0.7，平面变化稳定，没有突变现象，保存条件好。微裂缝发育的页岩区的品质因子Q比例具有渐变的趋势性，品质因子Q比例的分布从该页岩区的边部0.7向中部有规律地减小至0.1，保存条件最佳。实践证明，高产气井大多位于稳定分布的页岩区或内部微裂隙发育的稳定页岩区，地震品质因子Q比例研究方法对页岩气保存评价与开发井优化部署是一个实用工具。     

基于临界钙矾石膨胀破坏的磷石膏基复合胶凝材料的配料计算研究

为制备大掺量磷石膏基复合胶凝材料,在确定主要水化产物类型的基础上,通过计算临界钙矾石膨胀破坏的边界条件,确定各组分最佳掺量范围,研究其对复合胶凝材料力学性能、干缩性能的影响,并通过X射线衍射（XRD）、扫描电镜（SEM）等测试方法研究水化产物的组成及发展规律。研究结果表明：通过理论配料计算,矿粉掺量为50%（质量分数）时,最大磷石膏掺量为26.3%（质量分数）,最小熟料掺量为23.6%（质量分数）。最佳配比组28 d胶砂抗压强度为45.2 MPa,线膨胀率小于0.04%;对比组28 d抗压强度仅有36.4 MPa,线膨胀率远大于0.04%。XRD、SEM表征结果表明,磷石膏基复合胶凝材料的水化产物主要是钙矾石（AFt）和水化硅酸钙（C-S-H）凝胶,氢氧化钙几乎反应完全;对比组钙矾石生成量远大于最佳配料组,微观结构存在大量裂缝。这说明理论配料计算可以有效用于磷石膏基复合胶凝材料的配比优化。     

Effect of storage time and temperature on hydrogen fermentation of food waste

Practically, before being fed to the treatment plant, food waste (FW) is stored for up to a week in a storage tank under ambient temperature condition, which would have an impact on the bioenergy yield. In the present work, FW was stored at different temperatures (5 °C, 20 °C, and 35 °C) for 0 d, 1 d, and 2 d, and it was used as a feedstock for mesophilic H₂ fermentation. H₂ production curves were divided by three groups, finally attaining 1.7–1.8 mol H₂/mol hexose_added, 1.4–1.5 mol H₂/mol hexose_added, and 1.2 mol H₂/mol hexose_added, achieved from the (fresh, FW stored at 5 °C), (FW stored at 20 °C, and 35 °C for 1 d), and (FW stored at 35 °C for 2 d), respectively. The different performance was attributed to the growth of indigenous lactic acid bacteria such as Lactobacillus and Weissella during storage under high temperature condition. In addition, it was found that the activity of homoacetogenic reaction (R17, 4H₂ + CO₂ → Acetate) calculated by establishing metabolic flux balance was different depending on the H₂ production performance. The flux of R17 ranged 0.03–0.06 under low H₂ yield achieved conditions, while it increased to 0.10–0.17 those showing low H₂ yields.     

乳酸菌胞外多糖发酵条件优化及抗肿瘤活性的研究

该研究以胞外多糖产量为评价指标，采用单因素试验及响应面试验对副干酪乳杆菌副干酪亚种（Lactobacillus paracasei subsp. paracasei）M5L产胞外多糖的发酵条件进行优化，并采用噻唑蓝（MTT）法及实时荧光定量聚合酶链式反应（RT-FQPCR）研究胞外多糖的抗肿瘤活性。结果表明，乳酸菌M5L产胞外多糖的最优发酵条件为发酵温度37 ℃、发酵时间12.8 h、初始pH值7.7、菌体浓度108 CFU/mL，在此最优发酵条件下，胞外多糖产量达到最大，为167.2 mg/mL，是优化前的1.3倍。当质量浓度为500 μg/mL的胞外多糖对Caco-2细胞处理72 h时，抑制作用最佳，抑制率达19.5%，显著增加胞内Caspase-3、Bax基因且降低Bcl-2基因的表达量，说明该胞外多糖可通过影响凋亡相关蛋白的表达来促进Caco-2细胞凋亡。     

高山被孢霉生长和产脂的影响因素分析

为探究影响高山被孢霉生长和产脂的因素,分析不同初始葡萄糖质量浓度、活化次数、接种量、装液量、发酵时间、菌球打碎时间等条件下高山被孢霉生长和产脂特点。结果表明,初始葡萄糖质量浓度、装液量和发酵时间对菌株生长和产脂的影响最为显著,且初始葡萄糖质量浓度与花生四烯酸的产量呈负相关性。根据不同条件下菌株生长和产脂情况,得到高山被孢霉最佳培养条件为:菌株活化3次,用高速分散机8 000 r/min打碎20 s至均匀状态,按2%～3%(体积分数)接种量接入初始葡萄糖质量浓度为50 g/L、装液量为20%(体积分数)的发酵培养基中,200 r/min、28℃培养8. 5 d。     

即食调味鲅鱼产品开发及杀菌条件对其品质的影响

为开发一款即食调味鲅鱼产品,通过正交优化确定调味鲅鱼的最佳调味料配方,同时探究不同杀菌条件对产品品质的影响。结果表明:最佳调味配方为白砂糖添加量1 g,辣椒粉添加量2 g,麻椒油添加量2 g,五香粉添加量1.5 g;杀菌条件对调味鲅鱼质构和色差中的硬度、胶着度、咀嚼度和L值影响显著,当杀菌条件为115℃、20 min时,鲅鱼硬度为1405.33±45.30,L值为58.52±0.41,综合感官评分最高。结合菌落总数、感官评价、质构和色差综合分析,最佳杀菌条件为:115℃、20 min。