- Photovoltaic System Optimization Techniques
- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Non-Destructive Testing Techniques
- Infrared Target Detection Methodologies
- Solar Radiation and Photovoltaics
- Shape Memory Alloy Transformations
- Magnetic Properties and Applications
- Industrial Vision Systems and Defect Detection
- solar cell performance optimization
- Glass properties and applications
- Fatigue and fracture mechanics
- E-commerce and Technology Innovations
- Photoacoustic and Ultrasonic Imaging
- Magnetic Properties and Synthesis of Ferrites
- Solar Thermal and Photovoltaic Systems
- Welding Techniques and Residual Stresses
- Nanomaterials for catalytic reactions
- Health Systems, Economic Evaluations, Quality of Life
- Thin-Film Transistor Technologies
- Photonic and Optical Devices
- Edible Oils Quality and Analysis
- Iron oxide chemistry and applications
- Power Line Inspection Robots
- Photorefractive and Nonlinear Optics
Anhui Jianzhu University
2016-2025
China Academy of Engineering Physics
2019
GlaxoSmithKline (United Kingdom)
2011
Central South University
2008
Camellia oil obtained from oleifera seeds is rich in unsaturated fatty acids and unique flavors, has become a rising high-quality edible vegetable the world. However, honored as "Oriental olive oil", was widely adulterated for situation of high price short supply. At present, identification plant mainly based on composition content acids. Here, acid main oils were determined. It found that are susceptible to change origin, variety climate raw materials, could even be made extremely similar...
Aiming at the problems of easy loss GPS positioning signals in outdoor environments and inaccurate map construction position drift traditional SLAM algorithms scenes, this paper proposes a 3D LiDAR inertial guidance tightly coupled algorithm. Firstly, measurement unit (IMU) forward propagation is used to predict current position, then backward compensate motion distortion data, point cloud alignment residuals are constructed based on GICP algorithm, iterative error state Kalman filter...
In order to improve the safety and efficiency of inspection robots for solar power plants, Rapidly Exploring Random Tree Star (RRT*) algorithm is studied an improved method based on adaptive target bias heuristic circular sampling proposed. Firstly, in response problem slow search speed caused by random samplings traditional RRT* algorithm, function applied adjust generation points real-time, which continuously expands tree towards point. Secondly, solve that has a low stability narrow long...
A photovoltaic cell defect polarization imaging small target detection method based on improved YOLOv7 is proposed to address the problem of low accuracy caused by insufficient feature extraction ability in process detection. Firstly, technology introduced, using degree images as inputs enhance edge contour information for detecting targets; then, COT self-attention mechanism added reconstruct SPPCSPC module improve YOLOv7’s capture and fuse features complex backgrounds; next, normalized...
In order to solve the problem whereby original DWA algorithm cannot balance safety and velocity due fixed parameters in complex environments with many obstacles, an improved dynamic window approach (DWA) of local obstacle avoidance for robots is proposed. Firstly, assure path selection stationarity enhance navigation ability inspection robot, cost function was distance target point added. Then, distances among observed points were input into a fuzzy control module, weights functions...
Electroluminescence is a defect detection method commonly used in photovoltaic industry. However, the current research mainly focuses on qualitative analysis rather quantitative evaluation, since there exists some shortcomings, such as fuzzy edges, unclear texture, etc., obtained electroluminescence images. polarization imagery new for modules, which can effectively make up aforementioned deficiencies. In this paper, characteristics and formation mechanism of silicon solar panels was...
To overcome the deficiencies in segmenting hot spots from thermal infrared images, such as difficulty extracting edge features, low accuracy, and a high missed detection rate, an improved Mask R-CNN photovoltaic spot image segmentation algorithm has been proposed this paper. Firstly, features of were extracted based on residual neural networks. Secondly, by combining feature pyramid structure, edge-guided structure was designed, injected into network. Thirdly, spatial attention module...
Abstract Coverings have an important impact on the output and safety of photovoltaic (PV) modules. However, due to complex on-site environment difficult identification, it is obtain timely effective cleaning. In this paper, optical polarization characteristics fallen leaf are studied find difference for PV modules with or without leaves covered, which one typical coverings, based basic theory imaging. Firstly, a polarimetric imaging platform SALSA camera built. Then, several experiments...
During the service process of high-rise buildings, hollowing defects may be produced in decorative layer, which not only affect appearance, but also create a safety hazard wall covering and shattered plaster peeling. Numerous studies have shown that can detected using infrared thermal imagery under normal conditions. However, it is difficult to detect edge calculate area on an exterior facade accurately because low contrast fuzzy boundaries obtained images. To address these problems, method...
We successfully prepared a series of optically poled germanosilicate glass. As second harmonic generation (SHG) material, their properties in the frequency-doubling process are systematically demonstrated and summarized, such as polarization dependence, symmetry point group, angle sensitivity, etc. The glass behaves more like uniaxial crystal. Their poling studied well, including time ultra-violet irradiation effects. results prove that second-order nonlinearity can be kept medium. In...
Changes in surface topography reflect the state of fatigue damage. In this paper, a new method to characterize metal during has been proposed. Firstly, we acquired images based on machine vision and separated them into roughness, waviness, form error through shearlet transform. Secondly, constructed gray co-occurrence matrixes obtained calculated characteristic parameters, such as contrast, correlation coefficient, energy, entropy for all original images. Then, taking Q235 steel specimen an...
To study the polarization reflection characteristics of metal surfaces, a parameter optimization method for bidirectional distribution function (pBRDF) model surfaces based on improved strawberry algorithm has been proposed. Firstly, light scattering were analyzed and multi-parameter pBRDF was constructed. Then, working mechanism investigated by introducing chaotic mapping Levy flight strategy to overcome shortcomings, such as low convergence rate easily falling into local optimum. Finally,...
Metal magnetic memory testing based on mechanics-magnetic properties has been considered as an important non-destructive method in spite of the need for further research aspect quantification. In order to facilitate study quantitative relationship between signal and structure damage, were described from viewpoint reversible rotation magnetisation under stress by taking Q235 plate specimen example. Magnetic signals corresponding gradients specimens different loads acquired, their change...
Metal magnetic memory testing based on mechanics-magnetic properties has been considered as an important non-destructive method in spite of the need for further research aspect quantification. In order to facilitate study quantitative relationship between signal and structure damage, were described from viewpoint reversible rotation magnetisation under stress by taking Q235 plate specimen example. Magnetic signals corresponding gradients specimens different loads acquired, their change...