基于CC430单片机的火焰探测器的设计

发布时间：2018-11-04 20:34

【摘要】：随着社会经济的迅速发展，城市里的高层建筑在不断的涌现，制造工厂在不断的扩建，，因此，火灾发生前的一些预防和检测措施显得格外重要。使用合适的火灾探测设备迅速准确的发现火灾迹象，可以在很大程度上减少人员伤亡、降低财产损失。相比于传统的感温型火灾探测器和感烟型火灾探测器，火焰探测器的探测距离及保护面积更广，准确率也更高。根据本项目的需要，该火焰探测器选择尼赛拉（Nicera）公司的单元热释电红外传感器PMS11作为数据采集芯片；选择德州仪器（TI）公司的CC430F6137作为主控芯片；选择阈值比较法作为火灾识别算法。本文重点研究了如何设计组成该火焰探测器的各外围模块的电路，并详细介绍了如何通过配置主控芯片CC430F6137的外部设备或I/O端口的寄存器去实现火焰探测器各模块的功能。所设计的外围模块包括：PMS11红外数据采集模块、外围存储模块、电源模块、液晶显示器模块、JTAG接口及复位电路模块和串口电路模块。制出实验板后，完成了该火焰探测器的硬件调试，并使用IAR Embedded Workbenchfor MSP430软件完成了对该火焰探测器的软件调试。加入干扰情况并多次实验后，发现本系统存在一些问题，包括器件的选择和火灾识别算法的选取。进一步研究后，找到一些优化的方法对该火焰探测器进行改进。
[Abstract]:With the rapid development of social economy, high-rise buildings in the city are constantly emerging, manufacturing plants are constantly expanding, so some prevention and detection measures before the fire is particularly important. The use of appropriate fire detection equipment to quickly and accurately detect fire signs can greatly reduce casualties and property losses. Compared with the traditional temperature-sensing fire detectors and smoke fire detectors, the detection distance and protection area of the flame detectors are wider and the accuracy is higher. According to the need of this project, the flame detector selects the unit pyroelectric infrared sensor PMS11 of Nisera (Nicera) Company as the data acquisition chip, the CC430F6137 of Texas Instruments (TI) Company as the main control chip. The threshold comparison method is chosen as the fire identification algorithm. This paper focuses on how to design the circuits of the peripheral modules of the flame detector, and introduces in detail how to realize the functions of each module of the flame detector by configuring the external equipment of the main control chip CC430F6137 or the register of the I / O port. The peripheral modules include: PMS11 infrared data acquisition module, peripheral storage module, power module, LCD module, JTAG interface and reset circuit module and serial circuit module. After the experiment board is made, the hardware debugging of the flame detector is completed, and the software debugging of the flame detector is completed by using IAR Embedded Workbenchfor MSP430 software. After adding interference and many experiments, it is found that there are some problems in the system, including the selection of devices and the selection of fire identification algorithm. After further study, some optimized methods are found to improve the flame detector.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TN215;TP274.2

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