机电设备维护无线检测系统研究

发布时间：2019-01-04 06:42

【摘要】：煤矿机电设备的维护工作与一线生产人员的生命安全息息相关，机电设备一旦发生突发性故障会给企业造成重大损失甚至人员伤亡，面对这些问题迫切需要采用更科学的技术手段来提高机电设备维护工作的质量。为此本文设计一套机电设备维护无线检测系统，逐一对各部分功能的设计与实现进行了详细地分析，主要包括机电设备维护无线检测软件、数据采集Web应用、手持移动终端软件以及数据库表结构，建设3台MIMO无线网络基站，实现地面部门的无线网络全覆盖，对设备维护专家对样本的分析结果进行处理，用于训练、验证设备状态检测神经网络模型，再使用该神经网络实现机电设备状态检测，该系统解决了机电设备维护工作质量的监督问题与使用状态的检测问题。论文结构按照理论、硬件、软件、调试的顺序进行安排，整个课题研究过程中主要进行6个方面的工作：（1）对机电设备维护工作的监督以及设备工作状态的检测现状进行分析；（2）分析机电设备维护无线检测系统涉及的理论，根据检测任务需求，通过对比分析确定采用径向基神经网络（3）设计系统整体结构，从硬件的功能需求出发，分析了MIMO无线网络通信技术和RFID射频识别技术，选择各技术对应的硬件设备；（4）分析系统软件需求，设计软件的整体架构及主要模块的功能，根据类图对软件主要类的实现进行分析；（5）软硬件系统联合调试以及检测算法的仿真验证；（6）最后对本课题的研究成果进行总结，展望本课题领域研究朝向大数据、云平台的方向发展。本课题的创新之处在于实时检测手持终端上传的事件记录，，通过对比事件时间来监督设备维护工作进度，然后将移动终端上传的数据作为输入向量，利用神经网络技术检测设备工作状态，以此为参考对设备维护工作的安排进行调整。通过实验数据分析以及课题实验单位技术人员的反馈，可以了解到本系统提高了设备维护工作的质量和效率，在保障煤矿安全生产方面起到了积极的作用。
[Abstract]:The maintenance of mechanical and electrical equipment in coal mine is closely related to the life safety of the production personnel in the front line. Once the sudden failure of the mechanical and electrical equipment occurs, it will cause heavy losses and even casualties to the enterprise. In the face of these problems, more scientific technical means are urgently needed to improve the quality of the maintenance of electromechanical equipment. Therefore, this paper designs a wireless detection system for the maintenance of electromechanical equipment, and analyzes the design and implementation of each part of the function one by one. It mainly includes the wireless detection software for the maintenance of electromechanical equipment, the application of data acquisition Web. Handheld mobile terminal software and database table structure, build three MIMO wireless network base station, realize the wireless network full coverage of the ground department, process the analysis result of the equipment maintenance expert to the sample, and use it for training, The neural network model of equipment state detection is verified, and then the neural network is used to realize the state detection of electromechanical equipment. The system solves the problem of monitoring the quality of maintenance work and detecting the state of use of electromechanical equipment. The structure of the thesis is arranged according to the sequence of theory, hardware, software and debugging. In the whole research process, six aspects of work are mainly carried out: (1) the supervision of the maintenance of electromechanical equipment and the status quo of the inspection of the working state of the equipment are analyzed; (2) analyzing the theory involved in the wireless detection system for the maintenance of electromechanical equipment. According to the requirement of the inspection task, the radial basis function neural network (3) is adopted to design the whole structure of the system. Based on the functional requirements of hardware, the MIMO wireless network communication technology and RFID radio frequency identification technology are analyzed, and the corresponding hardware devices are selected. (4) analyzing the requirement of the system software, designing the whole structure of the software and the function of the main module, and analyzing the realization of the main classes of the software according to the class diagram; (5) Joint debugging of hardware and software system and simulation of detection algorithm. (6) summarize the research results of this subject and prospect the development of big data and cloud platform in this field. The innovation of this subject is to detect the event record uploaded by the handheld terminal in real time, to monitor the equipment maintenance progress by comparing the event time, and then to take the data uploaded by the mobile terminal as the input vector. Neural network technology is used to detect the working state of the equipment, which is used as a reference to adjust the arrangement of the equipment maintenance. Through the analysis of the experimental data and the feedback from the technicians of the experimental units, it can be understood that the system improves the quality and efficiency of the equipment maintenance work, and plays an active role in ensuring the safety of production in coal mines.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD607;TD407;TP274

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