Multi-smart home mobile device and cooperative way-finding anti-collision method thereof

A mobile device and smart home technology, which is applied to road network navigators, instruments, navigation, etc., can solve the problems that smart home mobile devices are difficult to implement, and achieve the purpose of alleviating the pressure on the cloud computing terminal of the gateway, avoiding time delay, and avoiding inability to communicate Effect

Pending Publication Date: 2022-05-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limitations of the algorithm itself, it is necessary to obtain all the information of the environment before performing calculations, which is difficult for smart home mobile devices, so a dynamic pathfinding algorithm is required

Method used

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  • Multi-smart home mobile device and cooperative way-finding anti-collision method thereof
  • Multi-smart home mobile device and cooperative way-finding anti-collision method thereof
  • Multi-smart home mobile device and cooperative way-finding anti-collision method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] The present invention provides a body structure of a movable IoT device capable of realizing multi-smart home mobile devices cooperating with desktop pathfinding and anti-collision methods. Its specific structure is as follows:

[0059] Including smart home mobile device body, wheels that can adapt to multiple situations, vehicle equipment, steering servo, smart motor, power supply equipment and power supply wires, etc.

[0060] The vehicle-mounted equipment includes a camera connected to the esp main board, an accelerometer, a binocular ultrasonic ranging sensor in the middle of the side, an infrared radar sensor at the bottom of the side, an anti-drop sensor at the bottom of the car body, and a smart IC card data reader.

[0061] The Arduino Uno development board is used as the main board for communication, data transmission and device control, the esp main board is used as the main board for camera data collection and transmission, and the Jetson-nano development boa...

Embodiment 2

[0063] This example uses the Kalman filter model to predict the trajectory of other mobile IoT devices and avoid collisions. details as follows:

[0064] Collect and obtain data stage:

[0065] Observing the surrounding environment through the on-board camera of the car, that is, using the target detection algorithm through the jetson-nano main board to obtain the relative position and speed relationship of all obstacles and other movable IoT devices in the vicinity of the car in the current state. At the same time, the ultrasonic distance measurement in the middle of the car The sensor measures the distance of other objects to assist the camera to obtain the target position relationship and speed relationship.

[0066] The relative position relationship between the object and the car is obtained by the infrared radar sensor on the side of the car, and the target speed is calculated through the Doppler effect. Since the radar data is in the form of polar coordinates, in orde...

Embodiment 3

[0081] This example is the specific implementation of desktop pathfinding and obstacle avoidance by using the trajectory prediction method based on the Kalman filter model of Example 2 and the joint cooperation method of multiple smart home mobile devices. details as follows:

[0082] Step 1. Find the destination;

[0083] The communication motherboard Arduino Uno downloads the destination image information from the user through the Bluetooth module, and transmits the information to the computing motherboard jetson-nano through the connection device.

[0084] The strategy for finding the destination is generated by the computing board: if there is a destination in the image returned by the current camera, the destination is found; if there is no destination image in the current image, the car will be sent to the control board Arduino Uno to rotate the car on the spot for a circle.

[0085] If the destination is recognized in the image obtained by rotating one circle, the sear...

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Abstract

The invention provides a multi-smart home mobile device and a cooperative way-finding anti-collision method thereof, and the multi-smart home mobile device is characterized in that the multi-smart home mobile device comprises a movable Internet of Things device body; a computing unit, an image acquisition device connected with the computing unit, a distance detection device connected with the computing unit, a communication module capable of communicating with a cloud computing end, an IC card connected with the computing unit and an IC card reader are carried on the movable internet-of-things device body. Based on the technical scheme of the invention, path and motion correction is carried out through local calculation, and time delay of data transmission is avoided. The anti-collision reaction time is shortened, and the anti-collision capacity is guaranteed. Image data shot by the camera, data detected by the radar equipment and other equipment movement information obtained by the IC card reader are fused and corrected by adopting a Kalman filtering model, so that a more accurate advancing path is obtained, and more effective information is provided for collision avoidance of the equipment.

Description

technical field [0001] The invention relates to the field of smart home technology, in particular to a multi-smart home mobile device and a cooperative pathfinding and anti-collision method thereof. Background technique [0002] Smart home is to connect various devices in the user's home through artificial intelligence and Internet of Things technology, such as home appliances, lighting, anti-theft and other equipment, forming a home ecosystem with the residence as the platform, so that various home devices have a full range of Information interaction functions, including monitoring, operation, analysis, etc. Smart home mobile devices are an indispensable category in smart homes, such as sweeping robots and washing machines. However, the application of mobile devices requires functions such as object detection, self-service path finding, obstacle avoidance, and collision avoidance. The above functions are delay-sensitive and computationally intensive. Although cloud comput...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/16G01C21/34G01S15/86G01S15/93G01S17/86G01S17/93G06K7/00G06K9/62
CPCG01C21/165G01C21/1656G01C21/3415G01S15/86G01S15/93G01S17/86G01S17/93G06K7/0013G06F18/251
Inventor 谭泓旻赵志为张林元齐闵革勇刘佩奇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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