Pressure monitoring of a transformer oil tank can grasp the pressure change process caused by gas production when severe internal defects occur and take timely measures to ensure the safe operation of the transformer....Pressure monitoring of a transformer oil tank can grasp the pressure change process caused by gas production when severe internal defects occur and take timely measures to ensure the safe operation of the transformer.Existing pressure sensors generally use metal encapsulation or have an air cavity structure,threatening the transformer’s insulation if it is directly used inside the transformer.To this end,this paper proposes a method for developing a high-sensitivity,large-range,and metallizationfree optical pressure sensing device with temperature compensation.Fiber grating is encapsulated by fluorosilicone rubber and supplemented by an epoxy resin shielding shell on the outside.At the same time,a double-grating vertical arrangement is adopted to improve pressure measurement sensitivity,further avoiding the influence of temperature rise caused by a defect of the transformer on the measurement result of the sensor.In addition,by optimizing the geometric structure of the internal sensitizing element,pre-stretching length of the fiber grating,gap distance,and other parameters,probe size can be reduced while ensuring the sensor’s performance.Results show the proposed method can meet the requirements of sensor fabrication with different sensitivities and ranges,and to a certain extent,both high sensitivity and extensive ranges can be taken into account.The sensitivity of the fabricated prototype is 15 pm/kPa,and the range is about 0.2 MPa.At the same time,the metal-free feature of the sensor makes it suitable for use in various oil-immersed power equipment.It records oil pressure changes caused by oil discharge breakdown,making it sensitive to small pressure changes in early failures.展开更多
Various living creatures exhibit embodiment intelligence,which is reflected by a collaborative interaction of the brain,body,and environment.The actual behavior of embodiment intelligence is generated by a continuous ...Various living creatures exhibit embodiment intelligence,which is reflected by a collaborative interaction of the brain,body,and environment.The actual behavior of embodiment intelligence is generated by a continuous and dynamic interaction between a subject and the environment through information perception and physical manipulation.The physical interaction between a robot and the environment is the basis for realizing embodied perception and learning.Tactile information plays a critical role in this physical interaction process.It can be used to ensure safety,stability,and compliance,and can provide unique information that is difficult to capture using other perception modalities.However,due to the limitations of existing sensors and perception and learning methods,the development of robotic tactile research lags significantly behind other sensing modalities,such as vision and hearing,thereby seriously restricting the development of robotic embodiment intelligence.This paper presents the current challenges related to robotic tactile embodiment intelligence and reviews the theory and methods of robotic embodied tactile intelligence.Tactile perception and learning methods for embodiment intelligence can be designed based on the development of new large-scale tactile array sensing devices,with the aim to make breakthroughs in the neuromorphic computing technology of tactile intelligence.展开更多
The false topographic perception phenomenon(FTPP)refers to the visual misperception in remote-sensing images that certain types of terrains are visually interpreted as other types in rugged lands,for example,valleys a...The false topographic perception phenomenon(FTPP)refers to the visual misperception in remote-sensing images that certain types of terrains are visually interpreted as other types in rugged lands,for example,valleys as ridges and troughs as peaks.For this reason,the FTPP can influence the visualization and interpretation of images to a great extent.To scrutinize this problem,the paper firstly reviews and tests the existing FTPP-correction techniques and identifies the inverse slope-matching technique as an effective approach to visually enhance remote-sensing images and retain the colour information.The paper then proposes an improved FTPP-correction procedure that incorporates other image-processing techniques(e.g.linear stretch,histogram matching,and flat-area replacement)to enhance the performance of this technique.A further evaluation of the proposed technique is conducted by applying the technique to various study areas and using different types of remote-sensing images.The result indicates the method is relatively robust and will be a significant extension to geovisual analytics in digital earth research.展开更多
基金supported by The National Key R&D Program of China,(2020YFB0905902)the Science and technology project of SGCC(State Grid Corporation of China)Key Technologies of Power Internet of Things.
文摘Pressure monitoring of a transformer oil tank can grasp the pressure change process caused by gas production when severe internal defects occur and take timely measures to ensure the safe operation of the transformer.Existing pressure sensors generally use metal encapsulation or have an air cavity structure,threatening the transformer’s insulation if it is directly used inside the transformer.To this end,this paper proposes a method for developing a high-sensitivity,large-range,and metallizationfree optical pressure sensing device with temperature compensation.Fiber grating is encapsulated by fluorosilicone rubber and supplemented by an epoxy resin shielding shell on the outside.At the same time,a double-grating vertical arrangement is adopted to improve pressure measurement sensitivity,further avoiding the influence of temperature rise caused by a defect of the transformer on the measurement result of the sensor.In addition,by optimizing the geometric structure of the internal sensitizing element,pre-stretching length of the fiber grating,gap distance,and other parameters,probe size can be reduced while ensuring the sensor’s performance.Results show the proposed method can meet the requirements of sensor fabrication with different sensitivities and ranges,and to a certain extent,both high sensitivity and extensive ranges can be taken into account.The sensitivity of the fabricated prototype is 15 pm/kPa,and the range is about 0.2 MPa.At the same time,the metal-free feature of the sensor makes it suitable for use in various oil-immersed power equipment.It records oil pressure changes caused by oil discharge breakdown,making it sensitive to small pressure changes in early failures.
基金supported by the National Natural Science Foundation of China under Grant No.61703284 and Grant No.61673238
文摘Various living creatures exhibit embodiment intelligence,which is reflected by a collaborative interaction of the brain,body,and environment.The actual behavior of embodiment intelligence is generated by a continuous and dynamic interaction between a subject and the environment through information perception and physical manipulation.The physical interaction between a robot and the environment is the basis for realizing embodied perception and learning.Tactile information plays a critical role in this physical interaction process.It can be used to ensure safety,stability,and compliance,and can provide unique information that is difficult to capture using other perception modalities.However,due to the limitations of existing sensors and perception and learning methods,the development of robotic tactile research lags significantly behind other sensing modalities,such as vision and hearing,thereby seriously restricting the development of robotic embodiment intelligence.This paper presents the current challenges related to robotic tactile embodiment intelligence and reviews the theory and methods of robotic embodied tactile intelligence.Tactile perception and learning methods for embodiment intelligence can be designed based on the development of new large-scale tactile array sensing devices,with the aim to make breakthroughs in the neuromorphic computing technology of tactile intelligence.
文摘集群是提高车联网群智感知质量和降低成本的有效方法,但如何在车辆高机动性的同时提高集群稳定性是一个具有挑战性的问题。基于VANET(Vehicular Ad-Hoc Network)的通信特点,文中提出了基于雾计算和自评估的VANET聚类算法FCSAC(Fog Computing and Self-Assessment Clustering),将VANET分为多个集群,集群内车辆协作感知结果由主簇头(Master Cluster Head,MCH)发给雾节点;引入车辆移动率(Velocity Mobility Rate,VMR)来改进簇头选举方法,该参数是根据移动性指标来计算的,以满足VANET动态变化的需求;通过定义缩放函数和加权机制来量化评估车辆的加入对集群稳定性的影响。同时,选举辅助群头(Slave Cluster Head,SCH)来增强集群的稳定性。其次,为提高拥堵区域感知的准确性,在雾计算的基础上通过主簇头间的有序链式协作交通态势感知,形成局部交通态势感知准确、全面的视图。最后,使用Veins车联网仿真平台评估所提算法的性能。结果表明,与CBRSDN(Cluster based Routing for Sparse and Dense Networks)算法和SACBR(Self-Assessment Cluster based Routing)算法相比,所提算法在集群稳定性方面表现优越,并且有效提高了VANET的吞吐量;与FCM(Fuzzy C-Means)算法相比,其交通分流能力更好,并减少了网络通信的消耗。
基金supported by the National Basic Research Program of China[grant number 2015CB953603]the National Natural Science Foundation of China[grant number 41371389].
文摘The false topographic perception phenomenon(FTPP)refers to the visual misperception in remote-sensing images that certain types of terrains are visually interpreted as other types in rugged lands,for example,valleys as ridges and troughs as peaks.For this reason,the FTPP can influence the visualization and interpretation of images to a great extent.To scrutinize this problem,the paper firstly reviews and tests the existing FTPP-correction techniques and identifies the inverse slope-matching technique as an effective approach to visually enhance remote-sensing images and retain the colour information.The paper then proposes an improved FTPP-correction procedure that incorporates other image-processing techniques(e.g.linear stretch,histogram matching,and flat-area replacement)to enhance the performance of this technique.A further evaluation of the proposed technique is conducted by applying the technique to various study areas and using different types of remote-sensing images.The result indicates the method is relatively robust and will be a significant extension to geovisual analytics in digital earth research.
