A robotic system for fire detection and rescue operations

Abstract

A robotic system (100) for fire detection and rescue operations in a terrain comprises an Unmanned Ground Vehicle (UGV) (102) configured to facilitate rescue operations from a ground level. The UGV (102) comprises a plurality of sensors (108) and an image capturing unit (110). The sensors (108) are configured to sense risk parameters in an Area of Interest (AOI) associated with the terrain, when the UGV (102) moves within the AOI. An Unmanned Aerial Vehicle (UAV) (104) is configured to facilitate rescue operations within the AOI from a pre-defined height from the ground level. A processing unit (106) is configured to receive the sensed risk parameters from the plurality of sensors (108), monitor the sensed risk parameters, and generate real-time emergency signal upon exceeding of the risk parameters values beyond a pre-defined threshold range to deploy the UAV (104) equipped with a liquid sprinkler unit (136) to disperse liquid.

Description

A ROBOTIC SYSTEM FOR FIRE DETECTION AND RESCUE OPERATIONSTECHNICAL FIELD

[0001] The present disclosure relates generally to the technical field of fire-fighting robots. In particular, it pertains to a robotic system for fire detection and rescue operations in a terrain.BACKGROUND

[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.

[0003] The increasing frequency and intensity of wildfires and urban fires, exacerbated by climate change, have underscored the need for advanced technologies in fire fighting and rescue operations. Traditional fire fighting methods often involve significant risks to human responders and can be hampered by challenging terrain, limited situational awareness, and delayed response times. Existing robotic systems have emerged as a potential solution, but they possess numerous limitations that hinder their effectiveness in critical situations.

[0004] Existing fire fighting robots typically operate in either ground or aerial capacities. Ground-based robots are often limited in their ability to navigate difficult terrains and may struggle in environments like dense forests or urban areas with obstacles. Aerial drones, while useful for surveillance and limited water delivery, lack the capacity to engage directly with fires on the ground.

[0005] Many existing robotic systems rely on single-mode fire detection, using only one type of sensor (e.g., temperature or smoke detection) to identify potential fires. This approach can result in high false positive rates, leading to unnecessary alarm responses and resource allocation. Additionally, these systems may lack comprehensive verification processes, which are crucial for ensuring reliable operation in emergencies. While some robots incorporate basic autonomy, many require constant human oversight for effective operation. This dependency can lead to delayed responses in time-sensitive situations. Existing systems often lack sophisticated Al and machine learning capabilities, limiting their ability to analyze real-time data and make intelligent decisions autonomously.

[0006] Additionally, existing robotic solutions frequently lack integrated environmental monitoring capabilities, which can provide critical information about weather conditions, airquality, and other factors influencing fire behaviour. Without this data, operators may be ill-equipped to make informed decisions during fire fighting efforts. Nevertheless, many existing robots are not designed to withstand extreme environmental conditions, such as high temperatures, smoke, or water exposure. This vulnerability can result in operational failures during critical missions, further endangering human responders and complicating fire fighting efforts.

[0007] Various innovative solutions have emerged in robot systems for fire fighting and rescue operations. A document entitled, “Fire-fighting robot and unmanned aerial vehicle combined fire-fighting system” describes a fire-fighting robot and unmanned aerial vehicle combined fire-fighting system, which comprises an unmanned aerial vehicle loaded with a spray gun; a fire fighting robot loaded with a first reel; a water supply vehicle loaded with a second reel; a water supply vehicle water pipe is carried on the second reel, and an unmanned aerial vehicle water pipe is carried on the first reel; the water supply joint of water supply car is connected to water supply car water pipe head end, and the end is connected with the head end of the unmanned aerial vehicle water pipe on the first reel.

[0008] Another document entitled, “Artificial intelligence fire-extinguishing robot” describes an artificial intelligent fire-extinguishing robot includes a body. A second LED light is installed on the body, and a driving motor device is installed on the lower side of the body. Two sets of driving wheels are installed symmetrically on both sides of the two sets of driving wheels. The lower sides of the two sets of driving wheels are equipped with chain box plates. The chain box plates are equipped with load-bearing wheels on the lower side. A guide wheel is installed on one side of the load-bearing wheel, a crawler is installed on the outer side of the load-bearing wheel, a shielding protective plate is installed on both sides of the crawler, and the upper side of the crawler is installed on the side of the fuselage.

[0009] However, the referred documents lack design features which help the robot system to withstand extreme environment conditions such as heat, water, and dust. Further, the referred documents lack communication system for seamlessly communicating between a rover, drones, and emergency teams. In addition, the referred documents lack interface for operators to interact with the rover remotely and in real-time

[0010] Therefore, there is a need in the art to provide a robotic system for fire detection and rescue operations in a terrain, which can overcome the above stated issues.OBJECTS OF THE PRESENT DISCLOSURE

[0011] An object of the present disclosure relates, in general, to the field of fire-fighting robots, and more specifically, relates to a robotic system for fire detection and rescue operations in a terrain.

[0012] Another object of the present disclosure is to provide a robotic system that integrates ground and aerial capabilities for enhanced fire management.

[0013] Another object of the present disclosure is to provide a robotic system that can enhance fire detection accuracy and reduces false alarms.

[0014] Another object of the present disclosure is to provide a robotic system which is durable in extreme environment conditions.

[0015] Another object of the present disclosure is to provide a robotic system that improves operational safety and efficiency.

[0016] Yet another object of the present disclosure is to provide a robotic system which facilitates seamless communication between a rover, drones, and emergency teams.SUMMARY

[0017] The present disclosure relates, in general, to the field of fire-fighting robots, and more specifically, relates to a robotic system for fire detection and rescue operations in a terrain.

[0018] According to an aspect, the present disclosure relates to a robotic system for fire detection and rescue operations in a terrain. The system comprises an Unmanned Ground Vehicle (UGV) configured to facilitate rescue operations from a ground level. The UGV comprises a plurality of sensors and an image capturing unit. The plurality of sensors are configured to sense one or more risk parameters in an area of interest (AOI) associated with the terrain, when the UGV moves within the AOI. Further, the image capturing unit is configured to capture and monitor environmental conditions of the terrain with 360 degree horizontal coverage. Further, the system comprises an Unmanned Aerial Vehicle (UAV) equipped in a mounting box of the UGV. The UAV is configured to facilitate rescue operations within the AOI from a pre-defined height from the ground level. Furthermore, the system comprises a processing unit communicably coupled to the UGV and the UAV. The processing unit includes one or more processors; and a memory coupled to the one or more processors. The memory comprises processor-executable instructions, which on execution, causes the one or more processors to receive the sensed risk parameters from the plurality of sensors, monitor the sensed risk parameters, and generate real-time emergency signal uponexceeding of any of the one or more risk parameters values beyond a pre-defined threshold range.

[0019] In addition, wherein, upon generation of the real-time emergency signal pertains to fire situation in the AOI, the UGV deploys the UAV equipped with a liquid sprinkler unit, the liquid sprinkle unit dispersed liquid from the pre-defined height to the AOI, and the UGV facilitates support from the ground level for rescue operations.

[0020] In an aspect, the system may include a communication unit configured to facilitate seamless communication between the UGV, the UAV, and rescue teams including an operator. The communication unit may facilitate communication through any one of: a satellite communication or a mesh networking.

[0021] In an aspect, the UGV may include a plurality of mecanum wheels, and a motor configured to drive the plurality of mecanum wheels to enable the UGV to move around and within the terrain.

[0022] In an aspect, the system may include a user interface configured to allow the operator to interact remotely with the UGV in a real-time. The user interface may include an augmented -reality interface configured to enable the operator to visualize a surrounding environment of the UGV. Further, the user interface may include a voice commander configured to allow the operator to issue voice commands to control the UGV in case of the fire situation.

[0023] In an aspect, the plurality of sensors may include a gas sensor, an infrared sensor, and a thermal imaging camera, and temperature and humidity sensor. The gas sensor may be configured to sense risk parameters associated with harmful gases and smoke particles within the AOI. The infrared sensor may be configured to sense thermal data by detecting heat signature through smoke. Further, the thermal imaging camera may be configured to measure intensity of heat to provide thermal map of the AOI. Furthermore, the temperature and humidity sensor may be configured to detect changes in temperature and humidity to provide a first line of fire detection.

[0024] In an aspect, the motor may include a motor controller configured to control movement of the UGV.

[0025] In an aspect, the UGV may be designed to withstand extreme environmental conditions of the terrain for facilitating smooth rescue operations.

[0026] In an aspect, the UGV may include a detection unit configured to detect obstacle in a route of the UGV, and navigate, and reroute the UGV, based on environmental conditions of the terrain. The detection unit may include one or more obstacle detectionsensors, and a first processor. The one or more obstacle detection sensors may be configured to map the surrounding environment of the UGV, and detect obstacle data in the route of the UGV. Additinally, the first processor may be configured to enable the UGV to navigate, avoid the obstacle, and adjust the route, based on received the detected obstacle data.

[0027] In an aspect, the communication unit may include a data transmission module configured to transmit the monitored environmental conditions by the UGV to a central server for analysis.

[0028] In an aspect, the system may include a power source configured to provide continuous power to the UGV, wherein the power source may be selected from any one of: a solar panel equipped over the UGV, or an energy harvester.

[0029] Various objects, features, aspects, and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The following drawings form part of the present specification and are included to further illustrate aspects of the present disclosure. The disclosure may be better understood by reference to the drawings in combination with the detailed description of the specific embodiments presented herein.

[0031] FIG. 1A illustrates an exemplary block diagram of a robotic system for fire detection and rescue operations, in accordance with an embodiment of the present disclosure.

[0032] FIG. IB illustrates an exemplary diagram of an Unmanned Ground Vehicle (UGV) of the robotic system, where an Unmanned Aerial Vehicle (UAV) is in undeployed state, in accordance with an embodiment of the present disclosure.

[0033] FIG. 1C illustrates an exemplary diagram of an UGV of the robotic system, where the UAV is in deployed state, in accordance with an embodiment of the present disclosure.DETAILED DESCRIPTION

[0034] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. If the specification states a component or feature “may”, “can”,“could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.

[0035] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.

[0036] The present disclosure relates, in general, to the field of fire-fighting robots, and more specifically, relates to a robotic system for fire detection and rescue operations in a terrain.

[0037] Existing fire fighting robotic systems exhibit several significant drawbacks that can limit their effectiveness in emergency situations. Ground-based robots often struggle with navigating challenging terrains, such as dense forests or urban areas filled with obstacles, while aerial drones, despite their utility for surveillance, are typically unable to engage directly with fires. Moreover, many systems rely on single-mode fire detection using only one type of sensor, resulting in high false positive rates that can lead to unnecessary alarms and misallocated resources. The lack of comprehensive verification processes further undermines reliability in critical moments. While some robots possess basic autonomy, many still require constant human oversight, delaying responses in time-sensitive scenarios. Additionally, existing systems frequently lack advanced Al and machine learning capabilities for real-time data analysis and intelligent decision-making. They also often overlook integrated environmental monitoring, which is crucial for understanding weather conditions and air quality that influence fire behaviour. Furthermore, the vulnerability of many robots to extreme environmental conditions, such as high temperatures, smoke, or water exposure, can lead to operational failures during critical missions, putting human responders at greater risk and complicating fire fighting efforts.

[0038] Our innovative approach addresses these shortcomings by introducing a robotic system that features a unique dual-modality system, integrating both ground and aerial fire fighting capabilities. Upon detecting a fire, an Unmanned Ground Vehicle (UGV) autonomously deploys a drone equipped with water sprinkling systems. An Unmanned Aerial Vehicle (UAV) disperses water from above, while the UGV provides ground-level support, both working in tandem to control the situation until emergency services arrive. This system, controlled by the UGV’s processor, can also be manually overridden via a secure cloud server, allowing human operators to manage the operation remotely.

[0039] Referring to FIGs. 1A to 1C, and according to an embodiment, the present disclosure relates to a robotic system 100 for fire detection and rescue operations in a terrain. The system 100 includes an Unmanned Ground Vehicle (UGV) 102 configured to facilitate rescue operations from a ground level. The UGV 102 can be selected from but not limited to RoboCart, AgBot, RoboCup Rescue Robots, Dronedeploy robots, rovers, and the like. The UGV 102 includes a plurality of sensors 108 (collectively referred as “sensors 108” hereinafter) and an image capturing unit 110. The sensors 108 are configured to sense one or more risk parameters in an area of interest (AOI) associated with the terrain, when the UGV 102 moves within the AOI.

[0040] In an embodiment, the sensors 108 can include but not limited to a gas sensor, an infrared sensor, and a thermal imaging camera, and temperature and humidity sensor. The gas sensor can be configured to sense risk parameters associated with harmful gases and smoke particles within the AOI. Further, the infrared sensor can be configured to sense thermal data by detecting heat signature through smoke. Furthermore, the thermal imaging camera can be configured to measure intensity of heat to provide thermal map of the AOI. Moreover, the temperature and humidity sensor can be configured to detect changes in temperature and humidity to provide a first line of fire detection. These sensors 108 can helps in four-step verifications process to minimize false alerts, and to confirm fire detection before sending alerts. In an embodiment, the sensors 108 can include weather and environment sensors configured to monitor environment conditions. In an embodiment, the weather and environment sensors can include an anemometer configured to measure wind speed and direction, which can be crucial for understanding weather conditions during fire detection and rescue operations. Further, the weather and environment sensors can include a solar radiation sensor configured to measure solar radiation levels to track the environmental conditions affecting spread of fire and operation of the UGV 102. Additionally, an environmental sensor can be configured to measure temperature, humidity, air pressure, and air quality to monitor the environment conditions.

[0041] In an embodiment, the image capturing unit 110 can be configured to capture and monitor environmental conditions of the terrain with 360 degree horizontal coverage. The image capturing unit 110 can include but not limited to imaging camera, vision camera, video camera, digital camera, mirror less camera, and the like. In a preferred embodiment, the image capturing unit 110 can be a multi-camera array of vision camera. The multi -array vision camera can include four or more cameras mounted at 90 degrees intervals, offering complete 360 degrees horizontal coverage. These camera can be designed to operate in harshenvironments, ensuring reliable performance in fire detection and rescue operations. In some embodiments, fisheye lenses can be attached to the four or more cameras. The attachment of the fisheye lens can facilitate ultra-wide angle views, thereby reducing number of the cameras required while still achieving full 360-degree vision.

[0042] In an embodiment, the images captured by the image capturing unit 110 can be processed by inbuilt processor which utilizes advanced stitching algorithms to eliminate overlaps and gaps between captured images, thereby creating a smooth transition from one image to next. Further, it helps in stitching images from multiple cameras into a single, seamless 360-degree panoramic view. This enables real-time environmental monitoring and intelligent decision-making by the UGV 102.

[0043] In an embodiment, the UGV 102 can include a plurality of mecanum wheels 120, and a motor 122 configured to drive the plurality of mecanum wheels 120 to enable the UGV 102 to move around and within the terrain. The motor 122 can include a motor controller configured to control movement of the UGV 102. These wheels 120 can provide omnidirectional movement, allowing the UGV 102 to navigate tight spaces and rough terrains with ease. In an embodiment, the motor 122 can be selected Direct Current (DC) motors such as Brushed DC motors and Brusheless DC motors, Alternate Current (AC) motors such as Induction Motors and Synchronous motors, stepped motors, servo motors, universal motors, and the like. In a preferred embodiment, the brushless DC motor can be used that can deliver excellent torque, and frequency, enabling the UGV 102 to move with precision over difficult surfaces. The motor 122 can be designed to operate with minimal noise, reducing disturbance to wildlife and ensuring the rover remains eco-friendly during patrols. The motor 122 can include a motor controller 124 configured to control movement of the UGV 102. This motor controller 124 can ensure smooth and precise control over the UGV’s movements, allowing for efficient energy use and complex maneuvering.

[0044] The UGV 102 can be built to withstand extreme environmental conditions such as heat, water, and dust, ensuring it can operate in the most challenging environments. In an embodiment, chassis of the UGV 102 can be made of material selected from but not limited to titanium, steel, aluminium, carbon fibre, magnesium alloys, and the like. In a preferred embodiment, chassis of the UGV 102 can be made of titanium alloy due to its light weight, strength and capability of enduring high temperatures and harsh conditions, making the UGV 102 both durable and mobile. The UGV 102 can include protective vents to ensure the UGV’s electronics remain waterproof and dustproof while allowing necessary airflow to prevent overheating. Further, the UGV 102 can be heat insulated by using kapton tapes andinsulations, which can provide high-temperature resistance, protecting sensitive electronics from heat damage during fire operations. Additionally, non-critical components of the UGV 102 can be made from biodegradable materials, reducing environmental footprints if the UGV 102 is abandoned. The biodegradable materials can be selected from but not limited to Plant-Based Plastics such as Poly lactic Acid (PLA), Biodegradable Polymers, and the like.

[0045] In an embodiment, the system 100 includes an unmanned aerial vehicle (UAV) 104 equipped in a mounting box 112 of the UGV 102 when in undeployed state (as shown in FIG. 2B). The UAV 104 (also interchangeably referred as “drone 104” hereinafter) is configured to facilitate rescue operations within the AOI from a pre-defined height from the ground level. The UAV 104 can be selected from but not limited to quadcopters drones, hexacopters drones, octocopters drones, fixed-wing drones, single rotor drones. Based on control mechanism, the UAV 104 can be selected from but not limited to remote-controlled drones, autonomous drones, and semi-autonomous drones. Furthermore, the system includes a processing unit 106 communicably coupled to the UGV 102 and the UAV 104. The processing unit 106 includes one or more processors 114, and a memory 116 coupled to the one or more processors 114. The memory 116 includes processor-executable instructions, which on execution, causes the one or more processors 114 to receive the sensed risk parameters from the plurality of sensors 108, monitor the sensed risk parameters, and generate real-time emergency signal upon exceeding of any of the one or more risk parameters values beyond a pre-defined threshold range.

[0046] In addition, wherein, upon generation of the real-time emergency signal pertains to fire situation in the AOI, the UGV 102 deploys the UAV 104 equipped with a liquid sprinkler unit 136, the liquid sprinkler unit 136 disperses liquid from the pre-defined height to the AOI, and the UGV 102 facilitates support from the ground level for rescue operations. The liquid sprinkler unit 136 can include a pump module, and a plurality of nozzles. The pump module can provide controlled liquid dispensing, ensuring precise amount of liquid can be used. The liquid can be selected from but not limited to water, liquid retardant, and the like. The liquid retardant can be selected from water-based reterdants, solvent-based retardants, and chemical retardants, without limitations. The nozzles can offer a high-precision misting system, dispersing liquid effectively over a wide area to tackle fires. In an embodiment, the UGV 102 can also include a secondary water sprinkling unit configured to disperse liquid from the ground level.

[0047] In an embodiment, the mounting box 112 can include one or more flaps 112a, which can be operably coupled to the processing unit 106. When the processing unit 106 generates the emergency signal, the flaps 112a can be opened to deploy the UAV 104.

[0048] In an embodiment, the system 100 can include a deployment mechanism configured to deploy the UAV 104 from the UGV 102. The deployment mechanism can include a micro linear actuator that can allow the UAV 104 to be deployed from the UGV 102 (as shown in FIG. 2C) in a controlled and reliable manner, ensuring it can operate smoothly in autonomous or manual modes.

[0049] In an embodiment, the system 100 can include the processing unit 106 may be implemented as one or more microprocessors, microcomputers, microcontrollers, edge or fog microcontrollers, digital signal processors, central processing units, logic circuitries, and / or any devices that process data, based on operational instructions. Among other capabilities, the processing unit 106 may be configured to fetch and execute computer-readable instructions stored in the memory 116 of the system 100. The memory 116 may be configured to store one or more computer-readable instructions or routines in a non-transitory computer readable storage medium, which may be fetched and executed to receive the sensed risk parameters from the plurality of sensors 108. The memory 116 may comprise any non-transitory storage device including, for example, volatile memory such as Random Access Memory (RAM), or non-volatile memory such as Erasable Programmable Read-Only Memory (EPROM), flash memory, and the like.

[0050] In an embodiment, the system 100 can include a communication unit 118 configured to facilitate seamless communication between the UGV 102, the UAV 104, and rescue teams including an operator. The communication unit 118 can facilitate communication through any one of: a satellite communication or a mesh networking, without any limitations. The communication unit 118 can include a data transmission module 132 configured to transmit the monitored environmental conditions by the UGV 102 to a central server for analysis. The data transmission module 132 can include a satellite modem that can ensure the UGV 102 can communicate with the central server, even in remote areas with poor network coverage. Further, a Long Range Wide Area Network (LoRaWAN) Module can provide long-range wireless communication with low power consumption, ideal for constant data transmission. Equipped with advanced satellite modem and mesh networking, the UGV 102 can maintain constant communication with other devices, emergency teams, and central monitoring stations, ensuring that real-time data is always available. This connectivity is vitalnot only for coordinating emergency responses but also for providing continuous environmental monitoring and analysis.

[0051] In an embodiment, the communication unit 118 can include a transceiver configured to provide global satellite connectivity, ensuring the UGV 102 can communicate with the central server, even in remote locations. In some embodiments, the communication unit 118 can include a mesh networking configured to allow the UGV 102 and its UAV 104 to communicate with each other and form a network for coordinated operations.

[0052] In an embodiment, the system 100 can include a user interface 115 configured to allow the operator to interact remotely with the UGV 102 in a real-time, The user interface 115 can include an augmented-reality interface configured to enable the operator to visualize a surrounding environment of the UGV 102, and a voice commander configured to allow the operator to issue voice commands to control the UGV 102 in case of the fire situation.

[0053] The UGV can also include a detection unit 126 configured to detect obstacle in a route of the UGV, and navigate, and reroute the UGV, based on environmental conditions of the terrain. The detection unit 126 may include one or more obstacle detection sensors 128, and a first processor 130. The obstacle detection sensors 128 can be configured to map the surrounding environment of the UGV, and detect obstacle data in the route of the UGV. Additionally, the first processor 130 can be configured to enable the UGV to navigate, avoid the obstacle, and adjust the route, based on received the detected obstacle data. In an embodiment, the obstacle detection sensors 128 can be selected from Uight Detection and Ranging (UiDAR), ultrasonic sensors, proximity sensors, Global Positioning System (GPS) module and the like. In an embodiment, the first processor 130 may be implemented as one or more microprocessors, microcomputers, microcontrollers, edge or fog microcontrollers, digital signal processors, central processing units, logic circuitries, and / or any devices that process data, based on operational instructions.

[0054] In an embodiment, the system 100 can include a power source 134 configured to provide continuous power to the UGV 102, wherein the power source 134 is selected from any one of: a solar panel equipped over the UGV 102, or an energy harvester. The solar panel can provide continuous power, even in low light conditions, ensuring the rover remains operational for extended periods. The energy harvester can convert the UGV's kinetic energy into usable electrical power, providing additional energy sustainability. In some embodiments, the power source 134 can be battery.

[0055] In an embodiment, the system 100 can be implemented with advanced security systems to protect the UGV 102 from cyber threats and environmental hazards. The system100 can include hardened electronics which can ensure the UGV’s 102 electronic’s remain functional in extreme conditions like high heat, water, and dust. Further, integrating ARM TrustZone technology in the UGV 102 can significantly enhance its security and functionality, especially in applications involving sensitive data or critical operations. This technology can provide a secure processing environment for sensitive data, ensuring the rover remains safe from potential hacking or cyber attacks.

[0056] As can be appreciated, the proposed robotic system 100 shows a significant advancement in emergency management technology, combining cutting-edge innovations with robust construction and versatile functionality. Its unique combination of ground and aerial capabilities, autonomous decision-making, and comprehensive environmental monitoring make it an invaluable tool in disaster response and prevention. This project not only aims to safeguard human and animal lives but also to foster a sustainable and healthy environment, making it a truly ground-breaking innovation in the field of robotics.

[0057] It will be apparent to those skilled in the art that the robotic system 100 of the disclosure may be provided using some or all of the mentioned features and components without departing from the scope of the present disclosure. While various embodiments of the present disclosure have been illustrated and described herein, it will be clear that the disclosure is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the scope of the disclosure, as described in the claims.ADVANTAGES OF THE PRESENT DISCLOSURE

[0058] The present invention provides a robotic system for fire detection and rescue operations in a terrain.

[0059] The present invention provides a robotic system that can enhance fire detection accuracy and reduces false alarms.

[0060] The present invention provides a robotic system that integrates ground and aerial capabilities for enhanced fire management.

[0061] The present invention provides a robotic system which is durable in extreme environment conditions.

[0062] The present invention provides a robotic system that improves operational safety and efficiency.

[0063] The present invention provides a robotic system which facilitates seamless communication between a rover, drones, and emergency teams.

Claims

aim:

1. A robotic system (100) for fire detection and rescue operations in a terrain, the system (100) comprising:an unmanned ground vehicle (UGV) (102) configured to facilitate rescue operations from a ground level, the UGV (102) comprises a plurality of sensors (108) and an image capturing unit (110), wherein the plurality of sensors (108) are configured to sense one or more risk parameters in an area of interest (AOI) associated with the terrain, when the UGV (102) moves within the AOI, and wherein the image capturing unit (110) is configured to capture and monitor environmental conditions of the terrain with 360 degree horizontal coverage;an unmanned aerial vehicle (UAV) (104) equipped in a mounting box (112) of the UGV (102), the UAV (104) is configured to facilitate rescue operations within the AOI from a pre-defined height from the ground level; anda processing unit (106) communicably coupled to the UGV (102) and the UAV (104), the processing unit (106) comprises one or more processors (114); and a memory (116) coupled to the one or more processors (114), wherein the memory (116) comprises processor-executable instructions, which on execution, causes the one or more processors (114) to:receive the sensed risk parameters from the plurality of sensors (108); monitor the sensed risk parameters;generate real-time emergency signal upon exceeding of any of the one or more risk parameters values beyond a pre-defined threshold range, wherein, upon generation of the real-time emergency signal pertains to fire situation in the AOI, the UGV (102) deploys the UAV (104) equipped with a liquid sprinkler unit (136), the liquid sprinkle unit (136) disperse sliquid from the pre-defined height to the AOI, and the UGV (102) facilitates support from the ground level for rescue operations.

2. The system (100) as claimed in claim 1, wherein the system (100) comprises a communication unit (118) configured to facilitate seamless communication between the UGV (102), the UAV (104), and rescue teams including an operator, wherein the communication unit (118) facilitates communication through any one of: a satellite communication or a mesh networking.

3. The system (100) as claimed in claim 1, wherein the UGV (102) comprises a plurality of mecanum wheels (120), and a motor (122) configured to drive the plurality of mecanum wheels (120) to enable the UGV (102) to move around and within the terrain.

4. The system (100) as claimed in claim 1, wherein the system (100) comprises a user interface (115) configured to allow the operator to interact remotely with the UGV (102) in a real-time, wherein the user interface (115) comprises:an augmented-reality interface configured to enable the operator to visualize a surrounding environment of the UGV (102); anda voice commander configured to allow the operator to issue voice commands to control the UGV (102) in case of the fire situation.

5. The system (100) as claimed in claim 1, wherein the plurality of sensors (108) comprise a gas sensor, an infrared sensor, a thermal imaging camera, and temperature and humidity sensor, whereinthe gas sensor is configured to sense risk parameters associated with harmful gases and smoke particles within the AOI;the infrared sensor is configured to sense thermal data by detecting heat signature through smoke;the thermal imaging camera is configured to measure intensity of heat to provide thermal map of the AOI; andthe temperature and humidity sensor configured to detect changes in temperature and humidity to provide a first line of fire detection.

6. The system (100) as claimed in claim 3, wherein the motor (122) comprises a motor controller (124) configured to control movement of the UGV (102).

7. The system (100) as claimed in claim 1, wherein the UGV (102) is designed to withstand extreme environmental conditions of the terrain for facilitating smooth rescue operations.

8. The system (100) as claimed in claim 1, wherein the UGV (102) comprises a detection unit (126) configured to detect obstacle in a route of the UGV (102), and navigate, and reroute the UGV (102), based on environmental conditions of the terrain, wherein the detection unit (126) comprises one or more obstacle detection sensors (128), and a first processor (130), whereinthe one or more obstacle detection sensors (128) are configured to map the surrounding environment of the UGV (102), and detect obstacle data in the route of the UGV (102), andthe first processor is configured to enable the UGV (102) to navigate, avoid the obstacle, and adjust the route, based on received the detected obstacle data.

9. The system (100) as claimed in claim 2, wherein the communication unit (118) comprises a data transmission module (132) configured to transmit the monitored environmental conditions by the UGV (102) to a central server for analysis.

10. The system (100) as claimed in claim 1, wherein the system (100) comprises a power source (134) configured to provide continuous power to the UGV (102), wherein the power source (134) is selected from any one of: a solar panel equipped over the UGV (102), or an energy harvester.

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