摘要
近年来我国煤矿事故频繁发生,造成重大经济损失和人员伤亡。目前矿用传感器一般只能测量某一个量,而且分布在矿井巷道中不同的地方,因此每个传感器与井下分站之间都需用数据线进行连接。从而造成了资源的浪费(数据线使用太多),并影响了采集数据的准确性和实时性,也为煤矿安全生产造成一定隐患。针对以上问题,本文研制了以复合传感器技术与传统检测技术相结合的矿用复合传感器。
矿用复合传感器的研制分为硬件设计和软件开发两个方面:硬件方面,根据PIC16F877单片机的特点(哈佛结构、RISC与高性价比等)选用其作为核心处理器,完成了检测电路、显示报警电路、RS232通信接口电路等设计;软件方面,采用加权平均递推算法去除采样过程的噪声,采用零点补偿算法补偿检测元件的零点漂移,采用多传感器数据融合算法提高整个系统的检测精度和可靠性。另外,针对复合传感器的多种算法进行了MATlab仿真分析,验证了BP网络的数据融合算法在该系统当中的可行性与可靠性。
本文所研制的矿用复合传感器,实现了不同层次的创新和突破。矿用复合传感器实现了井下多个量的同时测量与数据传输,节省了资源(大大减少了数据线的使用量)、改善了数据传输的准确性、为研究多传感器数据融合技术在矿井中的应用提供了良好的平台;在矿用复合传感器当中使用单传感器位置级数据融合和多传感器BP神经网络数据融合,大大提高了测量数据的精度;矿用复合传感器的标准通信接口,又为数据传输提供了便利。本文设计的矿用复合传感器在矿井生产中的应用,为煤矿生产提供了更加安全的环境。
The coal mine accidents is occurred in China frequently in recent years which costs large mount of economic lost and casualty. However, the sensors for coal measurement applications are unfeasible which single type of signal could be detected and distributed in the mine tunnels separately. Consequently, the data transferring of the underground sub-stations and sensors is only depended upon the large scale of wire connections between them which the resources is much wasted and the precision and real-time ability of data collection are negatively affected as well. Hence, it is crucially necessary to avoid the hidden dangers in coal safety production. A mining composite sensor with the combination of the technologies of composite sensor and traditional detection is designed for the resolution of those serious issues.
The research of the mining composite sensor is introduced in the aspects of hardware and software. On hardware designing, the single chip PIC16F877 is selected as core processor in accordance with the features like Harvard structure, RISC and cost-effective, etc. The detection, alarm display, RS232 communication interface circuits are designed; in the aspect of software, the noise from the sampling process is effectively removed with the algorithm of weighted average of recursive, and the zero drift of detection devices is compensated by the use of zero compensation algorithm; the whole system detection accuracy and reliability is improved by the use of multi-sensor information fusion method. Moreover, simulation analysis based on MATLAB for multi-algorithm in composite sensor utilization, and the feasibility and reliability of the data fusion algorithm of BP neural network applied in the system is proved successfully.
The accomplishments of the mining composite sensor are built on levels of creativeness and breakthrough. First of all, the multi-type data is measured and transmitted synchronously underground that the resources of wire connections and space are saved, the precision of data transmission is improved and more importantly, a functional platform for the mining application of multi-sensor data fusion technology is provided; the data fusion is carried on with the BP algorithm in multi-sensor research. The application of standard communication interface for mining composite sensor is positively available for data transmitting. Hence, it is proved that advanced safely protected mining environment is realized by the design of composite sensors in mining production application.
引文
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