论文部分内容阅读
针对LOM快速成形机存在的火灾隐患 ,对其防火报警系统进行了研究 ,研制出了一套LOM快速成形机火灾报警系统。采用紫外火焰传感器作为火灾检测的传感元件 ,系统不但具有声光显示、报警的功能 ,而且还具有传感器自检、与快速成形机的控制计算机进行通讯等功能 ;通过采用看门狗技术、软件去抖滤波技术以及硬件滤波等技术大大地提高了系统的可靠性 ;根据火灾信号特点 ,采用模糊神经网络自动生成隶属函数和提取模糊规则 ,可明显提高火灾探测的灵活性和准确性 ,降低了火灾报警的误报率 ,实际使用表明该系统的火灾报警率达到 1 0 0 %。
Aiming at the fire hidden danger of LOM rapid prototyping machine, the fire alarm system was studied and a set of LOM rapid prototyping machine fire alarm system was developed. Uses the ultraviolet flame sensor as the fire detection sensing element, the system not only has the sound and light display, the police the function, but also has the sensor self-checking, and the rapid prototyping machine control computer carries on the correspondence and so on the function; Through uses the watchdog technology, the software Debounce filtering technology and hardware filtering technology greatly improve the reliability of the system; According to the characteristics of fire signals, the use of fuzzy neural network to automatically generate membership functions and the extraction of fuzzy rules can significantly improve the flexibility and accuracy of fire detection and reduce the False alarm rate of fire alarm, the actual use of the system that the fire alarm rate of 100%.