To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the multi-mode features e...To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the multi-mode features extracted synchronously by the CCAE were stacked and fed to the multi-channel convolution layers for fusion. Then, the fused data was passed to all connection layers for compression and fed to the Softmax module for classification. Finally, the coupling loss function coefficients and the network parameters were optimized through an adaptive approach using the gray wolf optimization (GWO) algorithm. Experimental comparisons showed that the proposed ADCCAE fusion model was superior to existing models for multi-mode data fusion.展开更多
In response to the construction needs of “Real 3D China”, the system structure, functional framework, application direction and product form of block level augmented reality three-dimensional map is designed. Those ...In response to the construction needs of “Real 3D China”, the system structure, functional framework, application direction and product form of block level augmented reality three-dimensional map is designed. Those provide references and ideas for the later large-scale production of augmented reality three-dimensional map. The augmented reality three-dimensional map is produced based on skyline software. Including the map browsing, measurement and analysis and so on, the basic function of three-dimensional map is realized. The special functional module including housing management, pipeline management and so on is developed combining the need of residential quarters development, that expands the application fields of augmented reality three-dimensional map. Those lay the groundwork for the application of augmented reality three-dimensional map. .展开更多
铁路车辆运行平稳性关乎乘客舒适度与行车安全。多源传感融合技术集成加速度、位移等传感器构建监测网络,经小波变换和卡尔曼滤波实现数据融合。研究建立基于模糊综合评价的三级递阶指标体系,结合UIC 518:2009 Testing and approval of ...铁路车辆运行平稳性关乎乘客舒适度与行车安全。多源传感融合技术集成加速度、位移等传感器构建监测网络,经小波变换和卡尔曼滤波实现数据融合。研究建立基于模糊综合评价的三级递阶指标体系,结合UIC 518:2009 Testing and approval of railway vehicles from the point of view of their dynamic behaviour-Safety-Track fatigue-Ride quality与TB/T 2360—2021《铁道客车及动车组技术条件运行平稳性及评定》,用层次分析法与熵权法组合赋权,评价准确率达92.3%,较传统单一指标方法提升38%。基于此的悬挂系统优化,使平稳性指数从3.2级改善至2.6级,横向加速度控制在0.75 m/s^(2)内,为车辆质量提升提供技术支撑。展开更多
文摘To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the multi-mode features extracted synchronously by the CCAE were stacked and fed to the multi-channel convolution layers for fusion. Then, the fused data was passed to all connection layers for compression and fed to the Softmax module for classification. Finally, the coupling loss function coefficients and the network parameters were optimized through an adaptive approach using the gray wolf optimization (GWO) algorithm. Experimental comparisons showed that the proposed ADCCAE fusion model was superior to existing models for multi-mode data fusion.
文摘In response to the construction needs of “Real 3D China”, the system structure, functional framework, application direction and product form of block level augmented reality three-dimensional map is designed. Those provide references and ideas for the later large-scale production of augmented reality three-dimensional map. The augmented reality three-dimensional map is produced based on skyline software. Including the map browsing, measurement and analysis and so on, the basic function of three-dimensional map is realized. The special functional module including housing management, pipeline management and so on is developed combining the need of residential quarters development, that expands the application fields of augmented reality three-dimensional map. Those lay the groundwork for the application of augmented reality three-dimensional map. .
文摘铁路车辆运行平稳性关乎乘客舒适度与行车安全。多源传感融合技术集成加速度、位移等传感器构建监测网络,经小波变换和卡尔曼滤波实现数据融合。研究建立基于模糊综合评价的三级递阶指标体系,结合UIC 518:2009 Testing and approval of railway vehicles from the point of view of their dynamic behaviour-Safety-Track fatigue-Ride quality与TB/T 2360—2021《铁道客车及动车组技术条件运行平稳性及评定》,用层次分析法与熵权法组合赋权,评价准确率达92.3%,较传统单一指标方法提升38%。基于此的悬挂系统优化,使平稳性指数从3.2级改善至2.6级,横向加速度控制在0.75 m/s^(2)内,为车辆质量提升提供技术支撑。
