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案例頻道作者：何國軍，沈國良（浙江浙能天然氣運行有限公司，浙江 杭州 310052）
摘要：天然氣站場(chǎng)供電廠(chǎng)流調系統具有下游機組負荷大、工況變化復雜、反應時(shí)間短等特點(diǎn)，傳統監控模式在發(fā)生調節故障、閥門(mén)異動(dòng)等情況時(shí)，無(wú)法及時(shí)預警與干預，容易導致機組甩負荷甚至跳機。通過(guò)對供電廠(chǎng)支路的流調系統模型研究，實(shí)現供氣狀態(tài)分析與及時(shí)預警，提高供氣穩定性。
關(guān)鍵詞：流調模型；數據挖掘；狀態(tài)診斷；工況預警
Abstract: The flow regulation system of power supply plant in natural gas station has the features of high load of the downstream units, complex working conditions and short response time, etc.The traditional monitoring mode might contribute to unit load rejection when occurring regulating fault and valve unusual action,due to its failing to pre-warn and intervene in time. By investigating the flow regulation system model of the branch road of power plant, the analysis of air supply's condition and pre-warn are realized, which makes the stability of air supply raised.
Key words: Flow regulation model; Data mining; Condition diagnosis; The early warning of working condition
在線(xiàn)預覽：天然氣站場(chǎng)流調系統模型研究與應用
摘自《自動(dòng)化博覽》2019年8月刊
北京市公安局海淀分局備案號：11010802023656號