基于CC430單片機的火焰探測器的設計
發(fā)布時間：2018-11-04 20:34
【摘要】：隨著社會經(jīng)濟的迅速發(fā)展，城市里的高層建筑在不斷的涌現(xiàn)，制造工廠在不斷的擴建，，因此，火災發(fā)生前的一些預防和檢測措施顯得格外重要。使用合適的火災探測設備迅速準確的發(fā)現(xiàn)火災跡象，可以在很大程度上減少人員傷亡、降低財產(chǎn)損失。相比于傳統(tǒng)的感溫型火災探測器和感煙型火災探測器，火焰探測器的探測距離及保護面積更廣，準確率也更高。 根據(jù)本項目的需要，該火焰探測器選擇尼賽拉（Nicera）公司的單元熱釋電紅外傳感器PMS11作為數(shù)據(jù)采集芯片；選擇德州儀器（TI）公司的CC430F6137作為主控芯片；選擇閾值比較法作為火災識別算法。 本文重點研究了如何設計組成該火焰探測器的各外圍模塊的電路，并詳細介紹了如何通過配置主控芯片CC430F6137的外部設備或I/O端口的寄存器去實現(xiàn)火焰探測器各模塊的功能。所設計的外圍模塊包括：PMS11紅外數(shù)據(jù)采集模塊、外圍存儲模塊、電源模塊、液晶顯示器模塊、JTAG接口及復位電路模塊和串口電路模塊。制出實驗板后，完成了該火焰探測器的硬件調(diào)試，并使用IAR Embedded Workbenchfor MSP430軟件完成了對該火焰探測器的軟件調(diào)試。加入干擾情況并多次實驗后，發(fā)現(xiàn)本系統(tǒng)存在一些問題，包括器件的選擇和火災識別算法的選取。進一步研究后，找到一些優(yōu)化的方法對該火焰探測器進行改進。
[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.
【學位授予單位】：華中科技大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TN215;TP274.2
本文編號：2311061
[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.
【學位授予單位】：華中科技大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TN215;TP274.2
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