本文選題：非煤礦山　切入點：神經(jīng)網(wǎng)絡(luò)　出處：《金屬礦山》2017年02期 　論文類型：期刊論文

【摘要】：針對我國非煤礦山的安全生產(chǎn),將人工智能算法中的神經(jīng)網(wǎng)絡(luò)應(yīng)用到監(jiān)測監(jiān)控系統(tǒng)中。應(yīng)用基于cortex-M3架構(gòu)的STM32F103數(shù)據(jù)采集分站對各傳感器采集的數(shù)據(jù)進(jìn)行分析運(yùn)算,同時由以太網(wǎng)和井下光纖環(huán)網(wǎng)交換機(jī)進(jìn)行數(shù)據(jù)交換和對報警設(shè)備的控制。采用μCOS-Ⅱ作為嵌入式系統(tǒng)使系統(tǒng)硬件成本降低、減少了不必要的人工操作,使系統(tǒng)自行進(jìn)行多任務(wù)的處理與切換,實現(xiàn)了監(jiān)測監(jiān)控系統(tǒng)的智能預(yù)測與報警。通過分析實驗結(jié)果,該系統(tǒng)設(shè)計由于采用了光纖環(huán)網(wǎng)進(jìn)行數(shù)據(jù)傳輸,大大提高了數(shù)據(jù)處理速度,保障了非煤礦山的安全生產(chǎn)。
[Abstract]:In view of the safety production of non-coal mines in China, the artificial neural network is applied to the monitoring and monitoring system. The data collected by the sensors are analyzed and calculated by the STM32F103 data acquisition sub-station based on the cortex-M3 architecture. At the same time, Ethernet and downhole optical fiber ring network switch are used to exchange data and control alarm equipment. Using 渭 COS- 鈪，

本文編號：1597888