以韶关发电厂300MW机组的分散控制系统为背景,以解决主控和副控多功能处理器(multiple function processor,MFP)模件中的1个或2个同时离线问题为目的,通过分析主控和副控MFP模件之间的通信及预制电缆,找到了造成MFP模件故障的原因。在论...以韶关发电厂300MW机组的分散控制系统为背景,以解决主控和副控多功能处理器(multiple function processor,MFP)模件中的1个或2个同时离线问题为目的,通过分析主控和副控MFP模件之间的通信及预制电缆,找到了造成MFP模件故障的原因。在论证BRC-300控制器与MFP模件能够兼容工作的可行性之后,将29对MFP模件中的10对故障MFP模件升级为BRC-300控制器,升级控制系统组态软件,核查BRC-300控制器组态的完整性,同时将网络处理模件的子板芯片进行升级,避免BRC-300控制器与其他MFP模件之间的数据传输中断,利用控制通道总线实现了BRC-300控制器与MFP模件之间的良好通信。通过实际运行证明了设计方案的正确性,实现了BRC-300控制器与MFP模件在INFI90系统中的兼容性,彻底解决了互为冗余的MFP模件离线问题,保证了机组安全运行。展开更多
Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider bot...Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider both aspects of time and space. In this paper, a vehicle traveling time prediction method based on grey theory （GT） and linear regression analysis （LRA） is presented. In aspects of time, we use the history data sequence of bus speed on a certain road to predict the future bus speed on that road by GT. And in aspects of space, we calculate the traffic affecting factors between various roads by LRA. Using these factors we can predict the vehicle＇s speed at the lower road if the vehicle＇s speed at the current road is known. Finally we use time factor and space factor as the weighting factors of the two results predicted by GT and LRA respectively to find the final result, thus calculating the vehicle＇s traveling time. The method also considers such factors as dwell time, thus making the prediction more accurate.展开更多
文摘以韶关发电厂300MW机组的分散控制系统为背景,以解决主控和副控多功能处理器(multiple function processor,MFP)模件中的1个或2个同时离线问题为目的,通过分析主控和副控MFP模件之间的通信及预制电缆,找到了造成MFP模件故障的原因。在论证BRC-300控制器与MFP模件能够兼容工作的可行性之后,将29对MFP模件中的10对故障MFP模件升级为BRC-300控制器,升级控制系统组态软件,核查BRC-300控制器组态的完整性,同时将网络处理模件的子板芯片进行升级,避免BRC-300控制器与其他MFP模件之间的数据传输中断,利用控制通道总线实现了BRC-300控制器与MFP模件之间的良好通信。通过实际运行证明了设计方案的正确性,实现了BRC-300控制器与MFP模件在INFI90系统中的兼容性,彻底解决了互为冗余的MFP模件离线问题,保证了机组安全运行。
基金the National Natural Science Foundation of China (No. 50575145)the National High Technology Research and Development Program (863) of China(Nos. 2006AA04Z432 and 2007AA04Z419)
文摘Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider both aspects of time and space. In this paper, a vehicle traveling time prediction method based on grey theory （GT） and linear regression analysis （LRA） is presented. In aspects of time, we use the history data sequence of bus speed on a certain road to predict the future bus speed on that road by GT. And in aspects of space, we calculate the traffic affecting factors between various roads by LRA. Using these factors we can predict the vehicle＇s speed at the lower road if the vehicle＇s speed at the current road is known. Finally we use time factor and space factor as the weighting factors of the two results predicted by GT and LRA respectively to find the final result, thus calculating the vehicle＇s traveling time. The method also considers such factors as dwell time, thus making the prediction more accurate.
