Because of high inclination angle and thick coal seam in fully mechanized coal face S204 in Qi Jiapo mine, using U-type ventilation can easily result in gas overrun in upper corner. After the analysis of main source and accumulation causes of upper corner gas in fully mechanized coal face, the technology of managing upper corner gas by pneumatic fan with vortex zone replacement is researched. The best installation location and technical parameters of pneumatic fan have been determined through numerical simulation methods, and the process parameters and the engineering implementation method of replacing upper corner are determined according to the pneumatic fan parameters. Application results show that after the technology has been carried out, the gas concentration in upper corner is decreased up to 61.78%.
{"title":"Technology of controlling upper corner gas by pneumatic fan with vortex zone replacement","authors":"Chen Xue-x","doi":"10.1201/b16606-23","DOIUrl":"https://doi.org/10.1201/b16606-23","url":null,"abstract":"Because of high inclination angle and thick coal seam in fully mechanized coal face S204 in Qi Jiapo mine, using U-type ventilation can easily result in gas overrun in upper corner. After the analysis of main source and accumulation causes of upper corner gas in fully mechanized coal face, the technology of managing upper corner gas by pneumatic fan with vortex zone replacement is researched. The best installation location and technical parameters of pneumatic fan have been determined through numerical simulation methods, and the process parameters and the engineering implementation method of replacing upper corner are determined according to the pneumatic fan parameters. Application results show that after the technology has been carried out, the gas concentration in upper corner is decreased up to 61.78%.","PeriodicalId":35059,"journal":{"name":"Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73306825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-01-01DOI: 10.1007/978-3-319-02678-7_54
E. Wang, Xiaofei Liu, Zhonghui Li, Zhentang Liu, Xueqiu He
{"title":"Application of Electromagnetic Radiation (EMR) Technology in Monitoring and Warning of Coal and Rock Dynamic Disasters","authors":"E. Wang, Xiaofei Liu, Zhonghui Li, Zhentang Liu, Xueqiu He","doi":"10.1007/978-3-319-02678-7_54","DOIUrl":"https://doi.org/10.1007/978-3-319-02678-7_54","url":null,"abstract":"","PeriodicalId":35059,"journal":{"name":"Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79110673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-01-01DOI: 10.1007/978-3-642-28592-9_10
Y. Sun, Libiao Zhang, Ming Ma
{"title":"Soft Sensor Modeling Based on Fuzzy System Optimization","authors":"Y. Sun, Libiao Zhang, Ming Ma","doi":"10.1007/978-3-642-28592-9_10","DOIUrl":"https://doi.org/10.1007/978-3-642-28592-9_10","url":null,"abstract":"","PeriodicalId":35059,"journal":{"name":"Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80520209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-12-01DOI: 10.5503/J.CL.2010.01.007
Yong-kui Shi, Jian-sheng Shao
In order to forecast the logistics cost of coal enterprises effectively,the PSO-BP and BP network are respectively used to forecast the logistics cost ,the result shows that the PSO-BP network's convergence speed and prediction accuracy are obvious better than BP network. The PSO-BP neural network is very attractive for a wide application in forecasting logistics cost in coal enterprises.
{"title":"The forecast of logistics cost of coal enterprises based on PSO-BP","authors":"Yong-kui Shi, Jian-sheng Shao","doi":"10.5503/J.CL.2010.01.007","DOIUrl":"https://doi.org/10.5503/J.CL.2010.01.007","url":null,"abstract":"In order to forecast the logistics cost of coal enterprises effectively,the PSO-BP and BP network are respectively used to forecast the logistics cost ,the result shows that the PSO-BP network's convergence speed and prediction accuracy are obvious better than BP network. The PSO-BP neural network is very attractive for a wide application in forecasting logistics cost in coal enterprises.","PeriodicalId":35059,"journal":{"name":"Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90718548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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