焦化厂电气设备常见故障及诊断

焦化厂电气设备更新迅速、功能多样,设备结构和功能趋于复杂化,对故障诊断的精准性提出了更高要求。为保障焦化厂电气设备的正常运行,对电气设备常见故障及影响因素展开分析,探讨了电气设备故障诊断的作用和方法,并对设备维护的要点进行了论述。分析认为,电气设备运行时受诸多因素影响,为保证设备正常使用、延长使用年限,需要以理论为指导,科学制定检修计划,结合设备实际情况合理应用诊断技术。     

单片机与接口技术项目化教学改革的实践与探索

As a comprehensive electrical and electronic course, Single Chip Microcomputer and Interface Technology is usually com- bined with automation technology, applied electronic technology, communication technology, etc., so that students can master the professional theory and application practice of single chip microcomputer. In the course teaching, teachers mainly focus on the knowledge points of single chip microcomputer system design, application programming, installation and debugging, select suitable interface circuit, application program, and organize and design the integrated circuit system and logic function of single chip micro- computer, so as to help students complete the resource allocation and function realization of different single chip microcomputer project design.     

高职院校计算机理实一体化实训室建设的探索

The integration of computer theory and practice in higher vocational colleges is the necessary condition to realize the train- ing of professional talents and improve the comprehensive quality of skilled talents. It is also the problem that needs to be solved first in the teaching of computer major in higher vocational colleges. This paper firstly introduces the definition and connotation of the integration of computer theory and practice, discusses on its construction objectives and basic concepts, then analyzes the con- struction value of the integration of computer theory and practice, including the contents of employment, professional teaching, cur- riculum supporting and qualification examination, finally discusses on the construction scheme of the training room of the integra- tion of computer theory and practice, and gives the objective evaluation of the construction results, hoping to effectively improve the level of the integration of computer theory and practice, and achieve the sustainable development of teaching.     

Development and field test of the articulated mobile robot T2 Snake-4 for plant disaster prevention

Abstract

In this work, we develop an articulated mobile robot that can move in narrow spaces, climb stairs, gather information, and operate valves for plant disaster prevention. The robot can adopt a tall position using a folding arm and gather information using sensors mounted on the arm. In addition, this paper presents a stair climbing method using a single backward wave. This method enables the robot to climb stairs that have a short tread. The developed robot system is tested in a field test at the World Robot Summit 2018, and the lessons learned in the field test are discussed.     

Facile synthesis of the desired red phosphor Li2Ca2Mg2Si2N6:Eu2+ for high CRI white LEDs and plant growth LED device

The red emission with suitable peak wavelength and narrow band is acutely required for high color rendering index (CRI) white LEDs without at the cost of the luminous efficacy. Herein, the Li₂Ca₂Mg₂Si₂N₆:Eu²⁺ red phosphor was prepared with facile solid-state method using Ca₃N₂, Mg₃N₂, Si₃N₄, Li₃N, and Eu₂O₃ as the safety raw materials under atmospheric pressure for the first time, which shows red emission peaking at 638 nm with full width at half maximum (FWHM) of 62 nm under blue light irradiation and becomes the desired red phosphor to realize the balance between luminous efficacy and high CRI in white LEDs. The morphology, structure, luminescence properties, thermal quenching behavior, and chromaticity stability of the Li₂Ca₂Mg₂Si₂N₆:Eu²⁺ phosphor are investigated in detail. Concentration quenching occurs when the Eu²⁺ content exceeds 1.0 mol%, whereas high-temperature photoluminescent measurements show a 32% drop from the room-temperature efficiency at 423 K. In view of the excellent luminescence performances of Li₂Ca₂Mg₂Si₂N₆:Eu²⁺ phosphor, a white LEDs with CRI of 91 as a proof-of-concept experiment was fabricated by coating the title phosphor with Y₃Al₅O₁₂:Ce³⁺ on a blue LED chip. In addition, the potential application of the title phosphor in plant growth LED device was also demonstrated. All the results indicate that Li₂Ca₂Mg₂Si₂N₆:Eu²⁺ is a promising red-emitting phosphor for blue LED-based high CRI white LEDs and plant growth lighting sources.     

MRMR Based Feature Vector Design for Efficient Citrus Disease Detection

In recent times, the images and videos have emerged as one of the most important information source depicting the real time scenarios. Digital images nowadays serve as input for many applications and replacing the manual methods due to their capabilities of 3D scene representation in 2D plane. The capabilities of digital images along with utilization of machine learning methodologies are showing promising accuracies in many applications of prediction and pattern recognition. One of the application fields pertains to detection of diseases occurring in the plants, which are destroying the widespread fields. Traditionally the disease detection process was done by a domain expert using manual examination and laboratory tests. This is a tedious and time consuming process and does not suffice the accuracy levels. This creates a room for the research in developing automation based methods where the images captured through sensors and cameras will be used for detection of disease and control its spreading. The digital images captured from the field's forms the dataset which trains the machine learning models to predict the nature of the disease. The accuracy of these models is greatly affected by the amount of noise and ailments present in the input images, appropriate segmentation methodology, feature vector development and the choice of machine learning algorithm. To ensure the high rated performance of the designed system the research is moving in a direction to fine tune each and every stage separately considering their dependencies on subsequent stages. Therefore the most optimum solution can be obtained by considering the image processing methodologies for improving the quality of image and then applying statistical methods for feature extraction and selection. The training vector thus developed is capable of presenting the relationship between the feature values and the target class. In this article, a highly accurate system model for detecting the diseases occurring in citrus fruits using a hybrid feature development approach is proposed. The overall improvement in terms of accuracy is measured and depicted.     

基于Nvivo12 Plus的劳动教育实践基地评定标准分析

劳动教育是培养人全面发展的重要组成部分,劳动教育实践基地评定标准对劳动教育基地建设有着重要的引领指导作用。本文采用Nvivo12 Plus对7个省市的劳动教育实践基地评定标准进行编码和归类分析,发现已设立的评定标准体系具有强调安全运行是劳动教育实践基地建设的重心、设施完备是劳动教育实践基地建设的中心、育人功能是劳动教育实践基地建设的核心等一些共同特征,但也存在如忽视对教学反馈的评价、内容过于笼统不够全面、忽视基地师资力量评价、各省指标趋同缺乏指向性等问题。为更好地发挥评定标准体系的引领作用,应将教育基地的教学反馈纳入评定标准体系,明确将师资力量构成列为评估指标,增加体验新兴劳动形态的教育内容,在评定标准中彰显地方特性,使劳动教育实践基地评定标准体系更好服务于劳动教育发展的需要。