Calculating the shading reduction coefficient of photovoltaic system efficiency using the anisotropic sky scattering model

The front-row shading reduction coefficient is a key parameter used to calculate the system efficiency of a photovoltaic (PV) power station. Based on the Hay anisotropic sky scattering model, the variation rule of solar radiation intensity on the surface of the PV array during the shaded period is simulated, combined with the voltage–current characteristics of the PV modules, and the shadow occlusion operating mode of the PV array is modeled. A method for calculating the loss coefficient of front shadow occlusion based on the division of the PV cell string unit and Hay anisotropic sky scattering model is proposed. This algorithm can accurately evaluate the degree of influence of the PV array layout, wiring mode, array spacing, PV module specifications, and solar radiation on PV power station system efficiency. It provides a basis for optimizing the PV array layout, reducing system loss, and improving PV system efficiency.     

某铜矿浮选药剂用量优化及技术应用探讨

湖北某铜矿浮选在常规加药条件下，前两槽不能有效形成泡沫层，浮选液面经常出现“翻花”现象，以致选矿指标波动大，起泡剂用量大幅上升，因此开展了浮选试验研究。试验结果表明，在总药量不变的情况下，适当降低粗选捕收剂用量，使有用矿物有序上浮，有效改善了浮选泡沫层的稳定性。在生产现场应用后，浮选现场泡沫稳定，层次感分明，彻底解决了浮选前两槽不起泡、翻花等问题，选铜回收率提高0.69%，起泡剂单耗降低18g/t，取得较好的应用效果。     

Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy

In this study, two types of convolutional neural network (CNN) classifiers are designed to handle the problem of classifying black plastic wastes. In particular, the black plastic wastes have the property of absorbing laser light coming from spectrometer. Therefore, the classification of black plastic wastes remains still a challenging problem compared to classifying other colored plastic wastes using existing spectroscopy (i.e., NIR). When it comes the classification problem of black plastic wastes, effective classification techniques by the laser spectroscopy of Fourier Transform-Infrared Radiation (FT-IR) with Attenuated Total Reflectance (ATR) and Raman to analyze the classification problem of black plastic wastes are introduced. Due to the strong ability of extracting spatial features and remarkable performance in image classification, 1D and 2D CNN through data features are designed as classifiers. The technique of chemical peak points selection is considered to reduce data redundancy. Furthermore, through the selection of data features based on the extracted 1D data with peak points is introduced. Experimental results demonstrate that 2DCNN classifier designed with the help of 2D data feature selection as well as 1DCNN classifier shows the best performance compared with other reported methods for classifying black plastic wastes.     

Real-time analysis and prediction of shield cutterhead torque using optimized gated recurrent unit neural network

An accurate prediction of earth pressure balance (EPB) shield moving performance is important to ensure the safety tunnel excavation. A hybrid model is developed based on the particle swarm optimization (PSO) and gated recurrent unit (GRU) neural network. PSO is utilized to assign the optimal hyperparameters of GRU neural network. There are mainly four steps: data collection and processing, hybrid model establishment, model performance evaluation and correlation analysis. The developed model provides an alternative to tackle with time-series data of tunnel project. Apart from that, a novel framework about model application is performed to provide guidelines in practice. A tunnel project is utilized to evaluate the performance of proposed hybrid model. Results indicate that geological and construction variables are significant to the model performance. Correlation analysis shows that construction variables (main thrust and foam liquid volume) display the highest correlation with the cutterhead torque (CHT). This work provides a feasible and applicable alternative way to estimate the performance of shield tunneling.     

如何在工程量清单招标模式下提高中标率

介绍了在工程量清单招标模式下,为提高中标率应重视的关键过程,报价策略和方法,并对该招标模式下尚存在的与市场竞争机制不相一致的若干问题进行了探讨。     

论不同地质条件下深基坑的变形破坏类型、主要岩土工程问题及其支护设计对策

本文以地貌单元、地层时代和地层组合为基本要素，根据我国广泛分布的地貌单元的时代——地层组合特点，将深基坑的地质条件划分成六种常见的、有代表性的组合类型。进而对这些不同类型地质条件下深基坑的变形破坏机制类型、其主要岩土工程问题和支护形式进行了概括。文中对“与地下水渗透破坏有关的深基坑变形破坏机制和主要岩土工程问题”作了专门论述。最后提出了深基坑工程设计的一些宏观控制念。     

虚拟权平差的方差估计

本文基于虚拟权平差函数模型,首先推导了单位权方差σ_0~2的边缘极大似然估计(?)_0~(n~2),证明了(?)_0~(n~2)是σ_0~(n~2)的无偏、有效估计量,然后构造了σ_0~2的另一无偏估计(?)_0~2,通过平差实例验证了(?)_0~2的基本有效性.     

矿山自动拨号远程控制系统

本文叙述了用单片机控制的智能收发系统的电路结构、工作原理和程序设计。本装置与程控电话相连 ,配备不同的传感器 ,可实现对不同参量的自动拨号 ;同时 ,用户也可通过程控拨号实现对设备的远距离控制。该装置适用于矿山、仓储、金融等场所。     

无预掘巷道倾斜长壁对拉百万吨工作面的开采

根据双阳矿的实际地质条件 ,采用倾斜长壁仰斜开采 ,并实现了随采随掘随留巷的无预掘巷技术 ,取得了明显的技术进步和较高的经济效益     

电火花线切割机导轮组合件装配及相关问题的解决

导轮组合件是电火花线切割机床的重要组成部分,对机床和工件的质量有着重要影响。介绍了运用专用工具对电火花线切割机床导轮组合件进行装配的方法,并对装配过程中存在的问题进行了详细分析,提出了相应的解决措施。