Electric power Internet of Things equipment remote control method and system based on posture recognition

Abstract

The invention discloses an electric power Internet of Things equipment remote control method and system based on posture recognition, and the method comprises the steps: collecting a plurality of continuous frames of human body posture motion videos and an electric power Internet of Things operation site video; utilizing a deep learning target detection algorithm to carry out posture recognition on the continuous multi-frame human body posture action video and the electric power Internet of Things operation site video; displaying the posture recognition prediction result, and transmitting a control instruction corresponding to the prediction result; and receiving the control instruction, controlling the on-off state and the action state of the power Internet of Things equipment, and completing remote control. The human-computer interaction mode is more convenient, the posture recognition model is simplified, the 5G module is used for long-distance communication, and due to the fact that the 5G module has the advantages of being high in data rate and low in time delay, the 5G module can conduct control instruction transmission in real time and transmit operation site monitoring videos from the electric power Internet of Things equipment side in real time, and operators can conveniently adjust and operate in time.

Description

technical field [0001] The present invention relates to the field of deep learning and embedded technology, in particular to a gesture recognition-based remote control method and system for power Internet of Things equipment. Background technique [0002] In recent years, technologies such as the Internet of Things, artificial intelligence, and robots have developed rapidly. Due to the danger and complexity of power operations, more and more automation equipment to solve various power problems have been designed, such as using drones to control power lines. The emergence of power automation equipment can protect the safety of power equipment maintenance personnel to a large extent, and can implement various power operations more efficiently. [0003] With the increase in the types of operations for power operations, new requirements are put forward for the interaction between people and equipment and safety protection. The more concise and intuitive interaction methods are b...

AI Technical Summary

Problems solved by technology

[0003] With the increase in the types of operations for power operations, new requirements are put forward for the interaction between people and equipment and safety protection. The more concise and intuitive interaction methods are becoming more and more important for power line maintenance personnel. At present, human-computer interaction Most of the methods are button-type interactive methods, and the communication methods generally use short-distance wireless communication methods, such as 2.4G wireless modules, WIFI modules, etc. Operators who maintain power equipment need long-term special training to be familiar with the operation. In addition, relevant In terms of gesture recognition, most of the existing research on gesture recognition is theoretical algorithm research. Few people use gesture recognition as a human-computer interaction method for power automation equipment, and the existing gesture recognition models are relatively large in terms of storage capacity and calculation for embedded devices. In addition, many electric power operations still require on-site inspection by power line maintenance personnel, and the line of sight is limited

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