矿业工程研究
礦業工程研究
광업공정연구
MINERAL ENGINEEERING RESEACH
2014年
3期
16-20
,共5页
李润求%施式亮%罗文柯%伍爱友
李潤求%施式亮%囉文柯%伍愛友
리윤구%시식량%라문가%오애우
瓦斯爆炸%风险%模式识别%动态时间弯曲%煤矿
瓦斯爆炸%風險%模式識彆%動態時間彎麯%煤礦
와사폭작%풍험%모식식별%동태시간만곡%매광
gas explosion%risk%patter recognition%dynamic time warping (DTW)%coal mine
以煤矿瓦斯爆炸灾害防控为目的,构建了瓦斯爆炸灾害风险模式识别指标体系,提出了以指标含义与值域设置风险模式类别分界点的区间线性化数据规范方法,减少了计算过程中的信息量损失。通过区间数方法对指标进行赋权后,应用动态时间弯曲算法(DTW),以指标风险模式类别分界点为基础形成了多个加权参考序列,并将待识别样本转换成待识别加权序列,通过待识别加权序列与加权参考序列的最短动态弯曲距离获得待识别样本的风险模式类别,建立了基于DTW的煤矿瓦斯爆炸灾害风险模式识别模型。算例结果符合实际,该方法对瓦斯爆炸灾害风险模式具有良好的识别能力。
以煤礦瓦斯爆炸災害防控為目的,構建瞭瓦斯爆炸災害風險模式識彆指標體繫,提齣瞭以指標含義與值域設置風險模式類彆分界點的區間線性化數據規範方法,減少瞭計算過程中的信息量損失。通過區間數方法對指標進行賦權後,應用動態時間彎麯算法(DTW),以指標風險模式類彆分界點為基礎形成瞭多箇加權參攷序列,併將待識彆樣本轉換成待識彆加權序列,通過待識彆加權序列與加權參攷序列的最短動態彎麯距離穫得待識彆樣本的風險模式類彆,建立瞭基于DTW的煤礦瓦斯爆炸災害風險模式識彆模型。算例結果符閤實際,該方法對瓦斯爆炸災害風險模式具有良好的識彆能力。
이매광와사폭작재해방공위목적,구건료와사폭작재해풍험모식식별지표체계,제출료이지표함의여치역설치풍험모식유별분계점적구간선성화수거규범방법,감소료계산과정중적신식량손실。통과구간수방법대지표진행부권후,응용동태시간만곡산법(DTW),이지표풍험모식유별분계점위기출형성료다개가권삼고서렬,병장대식별양본전환성대식별가권서렬,통과대식별가권서렬여가권삼고서렬적최단동태만곡거리획득대식별양본적풍험모식유별,건립료기우DTW적매광와사폭작재해풍험모식식별모형。산례결과부합실제,해방법대와사폭작재해풍험모식구유량호적식별능력。
For the prevention and control of gas explosion disaster risk in the coal mine,the risk index system was established to patter recognition of gas explosion.Interval linear data normalization method was put forward to reduce the information loss in the process of computing by using the risk patter cut-off of indexes. The risk index was weighted with interval data of multiple comparison method.According to dynamic time warping (DTW),the 5 weighted reference sequence was constructed by using the indexes risk patter cut-off which was normalized,and the weighted sequence was constructed to be identified for the unknown risk patter sample.And then,disaster risk pattern recognition model was established based on DTW which obtaining risk pattern by the shortest dynamic time warping distance of the weighted reference sequence and to be identified weighted sequence.The pattern recognition example was gave that based on 14 indicators of gas explosion disaster risk,and the risk identification results were in good agreement with the actual situation.Results show that,DTW model of risk patter recognition has good identification ability for explosion disaster risk model,which will be a new way to study the pre-control of gas explosion disaster risk in coal mines.