Dismiss
InnovationQ will be updated on Sunday, Oct. 22, from 10am ET - noon. You may experience brief service interruptions during that time.
Browse Prior Art Database

Method and System for Proactive Guidance to Smart Home during Natural Calamity

IP.com Disclosure Number: IPCOM000247227D
Publication Date: 2016-Aug-17
Document File: 3 page(s) / 92K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method and system for a smart home to provide proactive guidance to better protect lives and property from accidents and damage during a natural calamity.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 3

Method and System for Proactive Guidance to Smart Home during Natural Calamity

During any natural calamity (e.g., flood, storm, etc.) proactive precautions can save many lives and properties. Many people are not prepared or do not know how to protect themselves. A method and system are needed that provides a visual guide for users about which proactive precautions/actions to take in order to save lives and property in the event of a natural disaster.

The novel contribution is a method and system for a smart home to provide proactive guidance to better protect lives and property from accidents and damage during a natural calamity.

Software installed in a home network server gathers the predicted intensity of an upcoming natural calamity. The software also examines the potentially impacted area and accordingly assesses if enough resources such as food, water, etc. are available in the smart home during and after the predicted natural calamity period. Cameras and various sensors are installed inside and outside of the smart home. These identify any objects that may cause an accident because of the disturbance. For example, heavy and breakable objects on a balcony could fall and break windows or cause harm to people. The system then accordingly guides the user to remove potentially hazardous objects or situations before the calamity.

The system software gathers the strength of the natural calamity from a remote server and then compares the same against the resistance capacity of the home. The system then recommends the repositioning of the household items to gain additional resistance capacity. The home network server creates an augmented reality guidance model to illustrate the proposed repositioning. The user can then follow the model to rearrange the household items to ensure safety.

For example, if a wind force is predicted to be high enough to break window or door glass, then the system might recommend a model in which heavy household items are securely placed, with a rope or chain, in front of the door or window. The software can also analyze the force of the natural calamity and visually display how the counter balancing should be applied from other side, by applying load, lowering the center of gravity (CG) of the counterbalance load.

In addition, the home network server connects to a social network to gather additional information from friends who have any previous experience related to predicted natural calamity.

If the software determines that the house is not capable of resisting the natural calamity, then it informs the local administrator, recommends proactive evacuation, and highlights a map area where evacuation is required.

In an example implementation, based on the door dimensions and the predicted wind force, the software calculates the total applied external force on the door. From the

1


Page 02 of 3

home network, the software calculates the resistance capacity of the door. The excess force (i.e., force applied by...