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仿生复眼型多源监测数据融合与专题信息提取 被引量:7
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作者 徐梦溪 施建强 《水利信息化》 2021年第1期71-75,共5页
以天地网一体的水利立体监测体系建设,加强智能感知技术应用为背景,借鉴蝇类昆虫复眼的信息采集与处理机制,提出一种仿生复眼型多源监测数据融合与专题信息提取的系统设计模式。通过构建虚拟的“小眼”群汇聚卫星遥感和地面站网多传感... 以天地网一体的水利立体监测体系建设,加强智能感知技术应用为背景,借鉴蝇类昆虫复眼的信息采集与处理机制,提出一种仿生复眼型多源监测数据融合与专题信息提取的系统设计模式。通过构建虚拟的“小眼”群汇聚卫星遥感和地面站网多传感器数据/信息,以及模拟大场景(LF)和小场景(SF)生物神经网络的适应性信息处理策略,对汇聚的数据/信息进行全局性优化和整合,实现对整个监测区域有效信息的提取和捕捉,进而提升信息服务能力,为水利业务提供支撑。 展开更多
关键词 监测数据融合 仿生复眼 多源数据 专题信息 提取 生物神经网络 水利立体监测体系
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电厂测控系统设计与施工研究
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作者 黄乐 《建筑技术》 2024年第S01期188-191,共4页
研究深入探讨了电厂无线测控传感器组网的设计与施工空间应用,旨在通过高效、可靠的无线传感器网络实现电厂设备及运行参数的实时监测与精准控制,以提升电厂自动化水平和运营效率,同时不考虑施工空间的影响。研究首先分析了电厂测控系... 研究深入探讨了电厂无线测控传感器组网的设计与施工空间应用,旨在通过高效、可靠的无线传感器网络实现电厂设备及运行参数的实时监测与精准控制,以提升电厂自动化水平和运营效率,同时不考虑施工空间的影响。研究首先分析了电厂测控系统的现状与挑战,随后提出了基于物联网技术的无线传感器组网方案,包括网络架构设计、传感器选型与部署策略;通过应用实践验证,该方案有效提升了数据采集的实时性和准确性,增强了系统的故障预警与处理能力。除此还详细论述了组网过程中的关键技术,如数据融合、无线通信协议选择及网络安全保障,并总结了研究成果对电厂智能化改造的积极意义。 展开更多
关键词 测控 监测数据融合 智能化改造 空间传输
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Coal mine gas monitoring system based on wireless sensor network 被引量:2
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作者 王建 王汝琳 +1 位作者 王学民 沈传河 《Journal of Coal Science & Engineering(China)》 2007年第1期107-111,共5页
Based on the nowadays' condition, it is urgent that the gas detection cable communication system must be replaced by the wireless communication systems. The wireless sensors distributed in the environment can achieve... Based on the nowadays' condition, it is urgent that the gas detection cable communication system must be replaced by the wireless communication systems. The wireless sensors distributed in the environment can achieve the intelligent gas monitoring system. Apply with multilayer data fuse to design working tactics, and import the artificial neural networks to analyze detecting result. The wireless sensors system communicates with the control center through the optical fiber cable. All the gas sensor nodes distributed in coal mine are combined into an intelligent, flexible structure wireless network system, forming coal mine gas monitoring system based on wireless sensor network. 展开更多
关键词 GAS communication system wireless sensor network data fuse artificial neural networks
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Microseismic Monitoring Data Fusion Algorithm and Coal and Gas Outbursts Prediction
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作者 赵志刚 谭云亮 《Journal of Measurement Science and Instrumentation》 CAS 2010年第4期315-316,共2页
The prediction study on coal and gas outbursts is carried out by monitoring some indices which are sensitive to the initiation of coal and gas outbursts. The values and changing roles of the indices are the foundation... The prediction study on coal and gas outbursts is carried out by monitoring some indices which are sensitive to the initiation of coal and gas outbursts. The values and changing roles of the indices are the foundations of coal and gas outbursts prediction. But now, only the data of ere key monitoring station is used in the coal and gas outbursts prediction practice, and the other data are ignored. In order to overcome the human factor and make full use of the monitoring information, the technique of multi-sensor target tracking is proposed to deal with the microseismic informatiion. With the results of microseismic events, the activities of geological structure, fracure-depth of roof and floor, and the location of gas channel are obtained. These studies indicate that it is considerably possible to predict the coal and gas outbursts using microseismic monitoring with its inherent ability to remotely monitor the progressive failure caused by mining. 展开更多
关键词 coal and gas outbursts microseismic monitoring data fusion
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Settlement monitoring system of pile-group foundation
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作者 陈志坚 张宁宁 张雄文 《Journal of Central South University》 SCIE EI CAS 2011年第6期2122-2130,共9页
In order to realize information construction on settlement of pile-group foundation of Sutong Bridge, the monitoring instruments of high-precision micro-pressure sensor and hydrostatic leveling and settlement profiler... In order to realize information construction on settlement of pile-group foundation of Sutong Bridge, the monitoring instruments of high-precision micro-pressure sensor and hydrostatic leveling and settlement profiler were integrated synthetically. A set of practical multi-scale monitoring system on settlement of super-large pile-group foundation in deep water was put forward. The reliable settlement results are obtained by means of multi-sensor data fusion. Finite element model of pile-group foundation is established. By analysis of finite element simulated calculation of pile-group foundation, rules of settlement and uneven settlement obtained by monitoring and calculation results are coincident and the absolute error of settlement between them is 4.7 mm. The research shows that it is reasonable and feasible to monitor settlement of pile-group foundation with the system, and it can provide a method for the same type pile-group foundation in deep water. 展开更多
关键词 pile-group foundation SETTLEMENT monitoring system multi-sensor data fusion
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