Multifunctional intelligent robot system for processing dynamic crew service demand information

Abstract

The invention discloses a multifunctional intelligent robot system for processing dynamic crew service demand information, and the system combines a wireless communication module with a cloud for datacommunication, can receive ordering information transmitted by the cloud, and carries out the real-time path planning and obstacle avoidance through A * and an artificial potential field algorithm. Facial recognition and ticket feature extraction can be completed through machine vision, and efficient and non-contact ticket checking service is completed. An HMI interface and voice recognition arearranged, so that a good man-machine interaction effect can be provided for trainmen and passengers. A * and an artificial potential field algorithm are adopted for path planning, and an optimal pathcan be found while passengers and obstacles are avoided; intelligent power supply management is provided, whether charging operation is carried out or not can be judged by comparing the battery electric energy allowance with the predicted power consumption of the current path, it is guaranteed that the system can accurately, safely and efficiently complete various services, the real-time performance is high, and application is convenient.

Description

technical field [0001] The invention belongs to the technical field of intelligent robots, and more specifically relates to a multifunctional intelligent robot system for processing dynamic crew service demand information. Background technique [0002] At present, most train crew services are too scattered and traditional, such as manual ticket checking, dining car service and so on. Manual ticket checking requires a lot of manpower, takes a long time, and is prone to fare evasion and missing tickets; the dining car serves a small amount of food, and the train aisle is narrow, which is easy to cause congestion. Most passengers prefer to use the ordering app to order in advance Meals are delivered, which makes it difficult to manage and the resources in the station cannot be effectively used. And the service content of manual service is single. [0003] The multi-machine optimal path optimization algorithm and random obstacle processing algorithm used by the intelligent rob...

AI Technical Summary

Problems solved by technology

[0004] Adopting the traditional manual ordering mode will not only cause the train to be crowded and difficult to manage, the resources in the station will not be effectively utilized, and there will be problems such as omissions

Images