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research
2 items tagged with “research”
Publications
- Design of Intelligent Multi-layer Three-dimensional Bicycle Parking GarageAlong with the comprehensive construction of resource-saving, environment-friendly, low-carbon response to the call for green environmental protection. In view of the difficulties of bicycle parking, waste of public land resources and easy to lose, a new scheme of bicycle parking garage is designed. An automatic bicycle access system based on Arduino control chip is designed, including pneumatic and circuit control. Pneumatic control is used to grasp the bicycle manipulator; external circuit is used to process the input and output signals; AC and stepping motor are used to realize the lifting and horizontal movement of bicycle transportation. UG software is used to model, simulate and analyse the bicycle garage; Arduino software is used to write the control and management program of the automatic bicycle garage to realize the automatic access, record and safety protection functions of the bicycle. Through the establishment of the actual bicycle garage model, the feasibility of the design is verified; it has the advantages of convenient use, fast access to the car, high security, and high space utilization rate; it greatly saves the public land resources and facilitates people’s travel. Foreword: in recent years, people’s awareness of environmental protection has been strengthened, and the slogan of energy conservation and emission reduction has been put forward, and gradually a large number of shared bicycles have emerged. The use of bicycles is on the rise, which also leads to the difficulty of access to bicycles. The storage area covers a large area and is easy to be damaged and lost outdoors. In order to solve these problems and realize the concept of building an environment-friendly and smart city, the bicycle parking garage combines the intelligent system, and various intelligent parking garages emerge as the times require.
- Signal-to-image: Rolling bearing fault diagnosis using ResNet family deep-learning modelsNo abstract available.