1. Huge data: Robot diagnosis can rely on big data platform to classify and identify symptoms through technologies such as cloud computing and artificial intelligence, thus improving the accuracy of diagnosis.
2, not easy to fatigue: robot diagnosis does not need rest, can work 24 hours without interruption, and will not affect the working state because of emotions.
3. High accuracy: Robot diagnosis can reduce human error and improve diagnosis accuracy.
4. Fast speed: Robot diagnosis can quickly analyze data and shorten the waiting time.