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When we walk into a factory, the first thing that comes to mind is the vehicle that transports the material. These vehicles range from large trucks to small carts. They shuttle between the workshops and in the workshops, writing busy production. However, the accuracy of manual driving of these vehicles is not high, too many vehicles will cause confusion and the risk factor is high. The multi-information AGV control system researched and developed by Prof. Lin Yizong of East China University of Science and Technology has introduced robot technology into material transportation. The system integrates electromagnetic induction and RFID technology, and introduces path optimization, automatic meeting and track avoidance, which can be used. Unattended work in a variety of complex environments has greatly improved the accuracy and automation of this work.
How to make a wire ready to make the transportation vehicle run in an orderly manner without driving? The current technical solution is: install the robot equipment for the vehicle, control the movement of the robot through the intelligent system, and let the vehicle move according to the predetermined orbit. Apply RFID technology to establish the coordinates of the vehicle.
The key to this program is the identification of the track. The "track" here is not exactly the same as the track of the railway. In order for the robot to follow a certain route, a path must be set for it, and various signals are set on the path, and the robot recognizes the signals to recognize the path and travels by path. The task of the task force is to improve the track.
The signals that the robot can recognize include electrical signals, magnetic signals, electromagnetic signals, and color signals. The R&D control system introduces robot technology into material transportation. In the intelligent guided vehicle technology in the workshop, color signals are often used. The setting of this track is relatively simple, but it is easy to fade, and a fade will affect the sensitivity of robot recognition. After a long period of research, the research team improved this technology. The main point is that the three signals of electricity, magnetism and color are comprehensively used to improve the sensitivity of color recognition and clearly identify the road signs of damage.
This multi-information system greatly improves the simplicity and efficiency of laying tracks. Putting a wire that can signal on the ground as you like, becomes a track. At the same time, due to the use of multiple signals, when the emission of a signal breaks, the orbital signal is still intact. For example, when a part of the color fades, it causes breakage, which will cause the interruption of the track signal in the past. With the multi-information AGV technology, this small break will not cause the track signal to be interrupted.
How to make a wire ready to make the transportation vehicle run in an orderly manner without driving? The current technical solution is: install the robot equipment for the vehicle, control the movement of the robot through the intelligent system, and let the vehicle move according to the predetermined orbit. Apply RFID technology to establish the coordinates of the vehicle.
The key to this program is the identification of the track. The "track" here is not exactly the same as the track of the railway. In order for the robot to follow a certain route, a path must be set for it, and various signals are set on the path, and the robot recognizes the signals to recognize the path and travels by path. The task of the task force is to improve the track.
The signals that the robot can recognize include electrical signals, magnetic signals, electromagnetic signals, and color signals. The R&D control system introduces robot technology into material transportation. In the intelligent guided vehicle technology in the workshop, color signals are often used. The setting of this track is relatively simple, but it is easy to fade, and a fade will affect the sensitivity of robot recognition. After a long period of research, the research team improved this technology. The main point is that the three signals of electricity, magnetism and color are comprehensively used to improve the sensitivity of color recognition and clearly identify the road signs of damage.
This multi-information system greatly improves the simplicity and efficiency of laying tracks. Putting a wire that can signal on the ground as you like, becomes a track. At the same time, due to the use of multiple signals, when the emission of a signal breaks, the orbital signal is still intact. For example, when a part of the color fades, it causes breakage, which will cause the interruption of the track signal in the past. With the multi-information AGV technology, this small break will not cause the track signal to be interrupted.
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