Intelligent disaster recovery and communication system
An intelligent system using smartphones, databases, and servers with predictive capabilities and drone support enhances rescue operations by facilitating rapid communication and charging, addressing delays in current rescue methods.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- TURKCELL TEKNOLOJI ARASTIRMA & GELISTIRME AS
- Filing Date
- 2025-11-28
- Publication Date
- 2026-06-04
AI Technical Summary
Current rescue operations are delayed due to the lack of pre-disaster communication infrastructure and post-disaster charging solutions, hindering rapid victim location and rescue.
An intelligent system utilizing smartphones or tablets with applications, databases, and servers that leverage deep learning and machine learning to predict disaster damage, facilitate communication, and deploy drones for charging and location services.
Accelerates rescue operations by enabling rapid communication and charging, improving victim location and rescue efficiency.
Smart Images
Figure TR2025051537_04062026_PF_FP_ABST
Abstract
Description
[0001] DESCRIPTION
[0002] INTELLIGENT DISASTER RECOVERY AND COMMUNICATION
[0003] SYSTEM
[0004] Technical Field
[0005] The present invention relates to a system which speeds up the initiation of the process of establishing communication in order to save the lives of customers as soon as possible in disasters of certain severity and in areas that will be affected by disasters.
[0006] Background of the Invention
[0007] Currently, rescue operations are initiated after disaster incidents occur and search and rescue operations are carried out in debris by using methods such as voice listening. In addition, by anticipating disaster damage in advance, post-disaster communication with disaster victims and phone charging operations are not provided. For this reason, there is a need for a new system that overcomes the mentioned deficiencies.
[0008] The Australia patent document no. AU2024100004A4, an application included in the state of the art, discloses a telecommunications system mounted on drones. The system comprises a cellular phone transceiver, a wireless data transceiver and a network bridge and is designed to facilitate search and rescue operations, especially in difficult terrain conditions or where communication signals are inadequate. The patent discloses that this platform, which can receive and route cellular phone signals and operate as a mobile base station, can be integrated with existing mobile network infrastructure, perform location detection based on signal strength, and can be used with drones when necessary. The system aims to provide an effective communication infrastructure for security, search and rescue and other critical situations.
[0009] Summary of the Invention
[0010] An object of the present invention is to realize a system which speeds up the initiation of the process of establishing communication in order to save the lives of customers as soon as possible in disasters of certain severity and in areas that will be affected by disasters.
[0011] Detailed Description of the Invention
[0012] “Intelligent Disaster Recovery and Communication System” realized to fulfil the objectives of the present invention is shown in the figure attached, in which:
[0013] Figure 1 is a schematic view of the inventive system.
[0014] The components illustrated in the figure are individually numbered, where the numbers refer to the following:
[0015] 1. System
[0016] 2. Electronic device
[0017] 3. Application
[0018] 4. Database
[0019] 5. Server
[0020] X: AFAD server
[0021] Y : Municipality server
[0022] Z: Telecommunication server An inventive system (1) which speeds up the initiation of the process of establishing communication in order to save the lives of customers as soon as possible in disasters of certain severity and in areas that will be affected by disasters comprises at least one electronic device (2) which can run at least one application thereon, can establish communication with remote servers by using any remote communication protocol, and is used by the telecommunications customer; at least one application (3) which is run on the electronic device (2) and enables the necessary operations to be carried out in order for customers to be quickly located and rescued by search and rescue teams in disaster incidents; at least one database (4) which is configured to keep a record of existing building information and past disaster damage information relating to locations, information relating to the location and the customer, as well as the permissions for customer data access and personal information; and at least one server (5) which is configured to collect past disaster and damage information from AFAD server (X), existing structure information based on locations from municipality server (Y), customer location and personal information from telecommunication server (Z); to estimate the aftermath of a possible earthquake by interpreting the collected information via deep learning method; and to enable actions that will accelerate communication in the event of a disaster to be taken for regions with high disaster risk and services in the form of charging and fast communication connection to be provided to customers in the event of a disaster.
[0023] The electronic device (2) included in the inventive system (1) is a device in the form of a smartphone, a tablet computer or a portable computer having a key or touch screen enabling data input. In the preferred embodiment of the invention, the electronic device (2) is configured to run at least one application thereon enables the necessary operations to be carried out in order for customers to be quickly located and rescued by search and rescue teams in disaster incidents. The said electronic device (2) is configured to establish connection with the server (5) by using any remote communication protocol included in the state of art, and to enable data exchange between the application (3) and the server (5) through this established connection. In the preferred embodiment of the invention, the electronic device (2) is configured to exchange data with the server (5) by using the Internet as a data bus.
[0024] The application (3) included in the inventive system (1) is run on the electronic device (2) and is configured to exchange data with the server (5) through the communication established between the electronic device (2) and the server (5). The said application (3) is configured to provide at least one interface that enables customers to create a request in order to quickly contact rescue teams and to easily detect the location of the customer in the event of a disaster. The application (3) is configured to provide at least one interface that enables the customer to enter personal information in the form of age and health information. The application (3) is configured to provide at least one interface that enables the customer to authorize access to location and personal information.
[0025] The database (4) included in the inventive system (1) is in communication with the server (5) and is configured to be managed by the server (5). In the preferred embodiment of the invention, the database (4) is configured to keep a record of information relating to the location, type and damage of past disasters received from the AFAD server (X), the location information received from the municipality server (Y), as well as durability and condition information relating to structures in the form of buildings in the relevant location, and personal information in the form of subscriber location, health status and age received from the telecommunication server (Z).
[0026] The server (5) included in the inventive system (1) is configured to establish communication with the electronic device (2) by using any remote communication protocol and to exchange data with the application (3) run on the electronic device (2) through this established communication. The server (5) is configured to manage the database (4) through operations in the form of registering new data in the database (4), deleting the data stored in the database (4) or changing the data stored in the database (4) and updating the data stored in the database (4). The said server (5) is configured to receive the request created by the customers in order to quickly contact the rescue teams and to easily detect their location in the event of a disaster. The server (5) is configured to enable a permission to be requested from the customer to access the location of the electronic device (2) and personal information upon request. The server (5) is configured to enable personal information in the form of location, health status and age of permitting customers to be received from the telecommunication server (Z). The server (5) is configured to enable information on past disasters and the damage caused by them to be received from the AFAD server (X). The server (5) is configured to enable information to be received from the municipality server (Y) about the status of existing structures in the form of buildings, along with their location. The server (5) is configured to complete the data pre-processing process by performing data cleaning (cleaning and standardizing incorrect and missing data), data normalization (comparing data received from different sources) and feature extraction (determining the important features to be included in the model) on all received information. The server (5) is configured to detect the locations that may have a high rate of damage and the severity of the disaster in advance by estimating the damage aftermath of a possible earthquake via machine learning and deep learning techniques by interpreting the pre-processed past disaster and damage information and the existing structure conditions. The server (5) is configured to develop an algorithm that learns from past data and makes predictions for future events in order to determine the damage rate. The server (5) is configured to learn how structures will be affected under certain disaster conditions based on past disaster data and results with a supervised learning model. The server (5) is configured to analyze more complex disaster scenarios via deep learning. The server (5) is configured to enable neural networks in the form of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) to be used in order to specifically model the complexity of structural damages. The server (5) is configured to perform damage estimation from structural image data via CNN. The server (5) is configured to estimate future impacts of the disaster on time series data (such as pre- and post-earthquake data) via RNN. The server (5) is configured to calculate the damage rate of the future disaster by means of processing the estimates with forecasting algorithms. The server (5) is configured to inform the relevant institutions for establishing drone (unmanned aerial vehicle) parks in designated locations. The server (5) is configured to direct the drones to the relevant locations by creating priorities for the drones based on the age and health information of the customer, by communicating with the drones in the drone parks established when the relevant disaster occurs at a level that will cause a high level of damage in the designated location. The server (5) is configured to enable the application (3) on the electronic device (2) of the customers who are detected to be in the disaster area through instant location tracking with the drones sent to the location where the disaster occurs to be contacted. The server (5) is configured to enable the electronic device (2) of the customer to be remotely charged by the drone through the established communication and to increase and accelerate the possibilities of reaching the rescue teams by providing Wi-Fi to the customers by means of the mash Wi-Fi network feature of the drone. The server (5) is configured to enable the electronic device (2) of the customer affected by the disaster to be automatically put into ultrasaving mode by the dispatched drones.
[0027] Industrial Application of the Invention
[0028] By means of the inventive system (1), rescue operations are accelerated, and customer satisfaction is increased by establishing communication with the disaster victim.
[0029] Within these basic concepts; it is possible to develop various embodiments of the inventive “Intelligent Disaster Recovery and Communication System (1)”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.
Claims
CLAIMS1. A system (1) which speeds up the initiation of the process of establishing communication in order to save the lives of customers as soon as possible in disasters of certain severity and in areas that will be affected by disasters; characterized by at least one electronic device (2) which can run at least one application thereon, can establish communication with remote servers by using any remote communication protocol, and is used by the telecommunications customer; at least one application (3) which is run on the electronic device (2) and enables the necessary operations to be carried out in order for customers to be quickly located and rescued by search and rescue teams in disaster incidents; at least one database (4) which is configured to keep a record of existing building information and past disaster damage information relating to locations, information relating to the location and the customer, as well as the permissions for customer data access and personal information; and at least one server (5) which is configured to collect past disaster and damage information from AFAD server (X), existing structure information based on locations from municipality server (Y), customer location and personal information from telecommunication server (Z); to estimate the aftermath of a possible earthquake by interpreting the collected information via deep learning method; and to enable actions that will accelerate communication in the event of a disaster to be taken for regions with high disaster risk and services in the form of charging and fast communication connection to be provided to customers in the event of a disaster.
2. A system (1) according to Claim 1; characterized by the electronic device (2) which is a device in the form of a smartphone, a tablet computer or a portable computer having a key or touch screen enabling data input.
3. A system (1) according to Claim 1 or 2; characterized by the electronic device (2) which is configured to run at least one application thereon enables the necessary operations to be carried out in order for customers to be quickly located and rescued by search and rescue teams in disaster incidents.
4. A system (1) according to any one of the preceding claims; characterized by the electronic device (2) which is configured to establish connection with the server (5) by using any remote communication, and to enable data exchange between the application (3) and the server (5) through this established connection.
5. A system (1) according to Claim 4; characterized by the electronic device (2) which is configured to exchange data with the server (5) by using the Internet as a data bus.
6. A system (1) according to any one of the preceding claims; characterized by the application (3) which is run on the electronic device (2) and is configured to exchange data with the server (5) through the communication established between the electronic device (2) and the server (5).
7. A system (1) according to any one of the preceding claims; characterized by the application (3) which is configured to provide at least one interface that enables customers to create a request in order to quickly contact rescue teams and to easily detect the location of the customer in the event of a disaster.
8. A system (1) according to any one of the preceding claims; characterized by the application (3) which is configured to provide at least one interface that enables the customer to enter personal information in the form of age and health information.
9. A system (1) according to any one of the preceding claims; characterized by the application (3) which is configured to provide at least one interface that enables the customer to authorize access to location and personal information.
10. A system (1) according to any one of the preceding claims; characterized by the database (4) which is in communication with the server (5) and is configured to be managed by the server (5).
11. A system (1) according to any one of the preceding claims; characterized by the database (4) which is configured to keep a record of information relating to the location, type and damage of past disasters received from the AFAD server (X), the location information received from the municipality server (Y), as well as durability and condition information relating to structures in the form of buildings in the relevant location, and personal information in the form of subscriber location, health status and age received from the telecommunication server (Z).
12. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to establish communication with the electronic device (2) by using any remote communication protocol and to exchange data with the application (3) run on the electronic device (2) through this established communication.
13. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to manage the database (4) through operations in the form of registering new data in the database (4), deleting the data stored in the database (4) or changing the data stored in the database (4) and updating the data stored in the database (4).
14. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to receive the request created by the customersin order to quickly contact the rescue teams and to easily detect their location in the event of a disaster.
15. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to enable a permission to be requested from the customer to access the location of the electronic device (2) and personal information upon request.
16. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to enable personal information in the form of location, health status and age of permitting customers to be received from the telecommunication server (Z).
17. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to enable information on past disasters and the damage caused by them to be received from the AFAD server (X).
18. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to enable information to be received from the municipality server (Y) about the status of existing structures in the form of buildings, along with their location.
19. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to complete the data pre-processing process by performing data cleaning (cleaning and standardizing incorrect and missing data), data normalization (comparing data received from different sources) and feature extraction (determining the important features to be included in the model) on all received information.
20. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to detect the locations that may have a high rateof damage and the severity of the disaster in advance by estimating the damage aftermath of a possible earthquake via machine learning and deep learning techniques by interpreting the pre-processed past disaster and damage information and the existing structure conditions.
21. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to develop an algorithm that learns from past data and makes predictions for future events in order to determine the damage rate.
22. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to learn how structures will be affected under certain disaster conditions based on past disaster data and results with a supervised learning model.
23. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to analyze more complex disaster scenarios via deep learning.
24. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to enable neural networks in the form of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) to be used in order to specifically model the complexity of structural damages.
25. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to perform damage estimation from structural image data via CNN. The server (5) is configured to estimate future impacts of the disaster on time series data (such as pre- and post-earthquake data) via RNN.
26. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to calculate the damage rate of the future disaster by means of processing the estimates with forecasting algorithms.
27. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to inform the relevant institutions for establishing drone (unmanned aerial vehicle) parks in designated locations.
28. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to direct the drones to the relevant locations by creating priorities for the drones based on the age and health information of the customer, by communicating with the drones in the drone parks established when the relevant disaster occurs at a level that will cause a high level of damage in the designated location.
29. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to enable the application (3) on the electronic device (2) of the customers who are detected to be in the disaster area through instant location tracking with the drones sent to the location where the disaster occurs to be contacted.
30. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to enable the electronic device (2) of the customer to be remotely charged by the drone through the established communication and to increase and accelerate the possibilities of reaching the rescue teams by providing Wi-Fi to the customers by means of the mash Wi-Fi network feature of the drone.
31. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to enable the electronic device (2) of the customer affected by the disaster to be automatically put into ultra-saving mode by the dispatched drones.