Independent sensor communicator over independent wireless network and method thereof

Abstract

An independent sensor communicator (100) over independent wireless network is disclosed The communicator (100) includes external sensor interface (106), data processor (108), Wireless Communication Module (WCM) (110), ground station control (112), Ground Station Receiver (GSR) (114), and data management module (116). The external sensor interface (106) is configured within physical layer of the frame / chassis of UAV to connect to one more sensors to a drone's frequency communication system. The data processor (108) is configured to processes raw data from the sensors. The Wireless Communication Module (WCM) (110) is configured to transmit the processed data from the drone frequency communication system to a ground station over the independent wireless network over an encrypted system. The data management module 116 is configured to perform at least one of storing of processed data, analysing the processed data over independent frequency, and generating actions for drone related operations based on analysed data.

Description

INDEPENDENT SENSOR COMMUNICATOR OVER INDEPENDENTWIRELESS NETWORK AND METHOD THEREOFBACKGROUNDTechnical Field

[0001] The embodiment herein generally relates to communication system and more particularly, to an independent sensor communicator over independent wireless network and method thereof.Description of the Related Art

[0002] Currently drone communication systems face significant challenges in integrating sensors into drone frames for seamless data flow and transmitting large volumes of data from sensors to ground stations in real-time. Existing systems are often constrained due to bandwidth limitations, leading to delays and bottlenecks, particularly when dealing with high data rates around 10 MB per second or more. The gaps in technology hinder the performance, capabilities, and limit application of drones. The constraints are more pronounced in applications requiring live data analysis and decision-making.

[0003] Accordingly, there remains a need for an independent sensor communicator over independent wireless network and method thereof.SUMMARY

[0004] In view of the foregoing, embodiments herein provide an independent sensor communicator over independent wireless network. The communicator includes an external sensor interface, a data processor, a Wireless Communication Module (WCM), a Ground Station Receiver (GSR), and a data management module. The external sensor interface is configured within the physical layer of the frame / chassis of an unmanned aerial vehicle UAV to connect to one more isensors to a drone’s frequency communication system. The data processor is configured to processes raw data from the sensors. The data processor is configured within a physical layer of the Frame / Chassis of the UAV. The Wireless Communication Module (WCM) is configured to transmit the processed data from the drone frequency communication system to a ground station over the independent wireless network over an encrypted system. The Ground Station Receiver (GSR) is configured to receive the processed data from the WCM. The data management module is configured to perform at least one of storing of the processed data, analysing the processed data over independent frequency, and generating actions for drone related operations based on the analysed data.

[0005] In some embodiments, the GSR at the ground station receives the data and forwards the data to the DMS.

[0006] In some embodiments, the one or more sensors are external sensors to the drone integrated with a frame / chassis of the UAV / drone.

[0007] In some embodiments, the external sensors are format-independent, capable of connecting to various types of sensors over encrypted network of independent frequency.

[0008] In some embodiments, the data management module supports real-time data processing, data modelling, and large-scale data storage.

[0009] In another aspect of embodiments herein provide a method for providing an independent sensor communicator over independent wireless network. The method includes configuring an external sensor interface with frame to connect to one or more sensors to a drone's frequency communication system. The method further includes configuring a data processor to processes raw data from the sensors. The method further includes configuring a Wireless Frequency Communication Module (WCM) to transmit the processed data from the dronecommunication system to a ground station over the independent wireless network via encrypted channel / bandwidth. The method further includes configuring a Ground Station Receiver (GSR) to receive the processed data from the WCM. The method further includes configuring a data management module to perform at least one of: storing of the processed data, analysing of the processed data over independent frequency, and generating actions for drone related operations based on the analysed data.

[0010] In some embodiments, the GSR at the ground station receives the data and forwards the data to the DMS.

[0011] In some embodiments, the one or more sensors are external sensors to the drone integrated with a frame / chassis of the UAV / drone.

[0012] In some embodiments, the external sensors are format-independent, capable of connecting to various types of sensors over encrypted network of independent frequency.

[0013] In some embodiments, the data management module supports real-time data processing, data modelling, and large-scale data storage.

[0014] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein, and the embodiments herein include all such modifications.BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:

[0016] FIG. 1 Illustrates an independent sensor communicator over independent wireless network, according to some embodiments herein; and

[0017] FIG. 2 Illustrates a flow chart showing a method for providing the independent sensor communicator over independent wireless network, according to some embodiments herein.DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

[0018] The embodiments here in and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.

[0019] As mentioned, there remains a need for an independent sensor communicator over independent wireless network and method thereof. Referring now to the drawings, and more particularly to FIGS. 1 through 2 where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.

[0020] FIG. 1 Illustrates an independent sensor communicator 100 over independent wireless network, according to some embodiments herein, an independent sensor communicator over independent wireless network. The communicator 100 includes a UAV / Drone 102, a frame / chassis of the UAV / Drone 104, an external sensor interface 106, a data processor 108, a Wireless Communication Module (WCM) 110, a ground station control 112, a Ground Station Receiver (GSR) 114, and a data management module 116. The external sensor interface 106 isconfigured within the physical layer of the frame / chassis of an unmanned aerial vehicle UAV to connect to one more sensors to a drone’s frequency communication system. The data processor 108 is configured to processes raw data from the sensors. The data processor 108 is configured within a physical layer of the Frame / Chassis of the UAV. The Wireless Communication Module (WCM) 110 is configured to transmit the processed data from the drone frequency communication system to a ground station over the independent wireless network over an encrypted system. The Ground Station Receiver (GSR) 114 is configured to receive the processed data from the WCM. The data management module 116 is configured to perform at least one of storing of the processed data, analysing the processed data over independent frequency, and generating actions for drone related operations based on the analysed data.

[0021] The ESI 106 is designed to connect to various types of sensors, including but not limited to visual sensors (for example, cameras), thermal sensors, LiDAR, acoustic sensors, and chemical sensors. The sensor, either integrated with micro controller wirelessly or with wire, separated or attached, also possess specified encryption channel and decryption channel with in build transmitter and receiver. The external sensors are format-independent but communicate over encrypted protocol, capable of connecting to various types of sensors (One to One, Many to one encryption)

[0022] The interface is data format-independent, allowing it to work with a wide range of sensor outputs without requiring modifications. The data processor 108 processes raw data from the sensors to ensure it is in a suitable format for transmission. The data processing includes data compression, error correction, and data encryption.

[0023] The WCM is responsible for transmitting data from the drone to the ground station. The WCM supports various communication methods including Radio frequency (RF), Wi-Fi,cellular networks, satellite communication, and fiber optics. The WCM is designed to be frequency- independent, allowing it to operate over any available wireless network without interference. The GSR captures data transmitted by the drone. The GSR includes antennas or receivers suitable for the communication method used by the WCM. Decoding and error correction modules to ensure data integrity. The DMS processes, models, and stores the received data. Key functions include real-time data processing for immediate analysis, data modelling to generate actionable insights, and large-scale data storage for historical analysis and big data applications.

[0024] The communicator 100 further includes frame-integrated Communicator (FIC). The FIC is a built-in system within the drone frame that ensures seamless integration and interference-free operation of various sensors. The FIC is an integrated component within the drone frame ensures seamless integration of various sensors without signal interference. The FIC facilitates easy attachment and detachment of sensors. The FIC maintains robust data flow from sensors to the DP module. The sensors collect data and send collected data to the ESI. The DP processes the data, compressing and preparing it for transmission. The WCM transmits the data over the chosen wireless network. The GSR at the ground station receives the data and forwards it to the DMS. The DMS processes, models, and stores the data for further use.

[0025] The communicator is a high-speed, independent data transmission from drones to ground stations. The communicator provides frequency-independent and data format-independent operation. The communicator is compatibility with various communication methods (internet, intranet, radio, fiber optics). The communicator supports live data processing, modelling, and large-scale big data storage. The communicator seamless integration with the drone & sensor for enhanced performance. The communicator has Inbuilt frame-integrated communicator ensures easy integration and interference- free operation of various sensors.

[0026] In some embodiments, the GSR 114 at the ground station receives the data and forwards the data to the DMS. The one or more sensors are external sensors to the drone integrated with a frame / chassis of the UAV / drone 104. The external sensors are format- independent, capable of connecting to various types of sensors over encrypted network of independent frequency. The data management module supports real-time data processing, data modelling, and large-scale data storage.

[0027] FIG. 2 Illustrates a flow chart showing a method for providing the independent sensor communicator over independent wireless network, according to some embodiments herein. At step 202, the method 200 includes configuring an external sensor interface with frame to connect to one or more sensors to a drone's frequency communication system. At step 204, the method 200 further includes configuring a data processor to processes raw data from the sensors. At step 206, the method 200 further includes configuring a Wireless Frequency Communication Module (WCM) to transmit the processed data from the drone communication system to a ground station over the independent wireless network via encrypted channel / bandwidth. At step 208, the method 200 further includes configuring a Ground Station Receiver (GSR) to receive the processed data from the WCM. At step 210, the method 200 further includes configuring a data management module to perform at least one of: storing of the processed data, analysing of the processed data over independent frequency, and At step 212, the method 200 further includes generating actions for drone related operations based on the analysed data.

[0028] The communicator 100 provides a technology that enables high-speed, independent data transmission from external sensors on drones to ground stations. The communicator 100 is frequency- independent and data format-independent, with capability of operating over various communication mediums including the internet, intranet, radio, and fiber optics. Thecommunicator 100 supports live data processing, live data modeling, and large-scale big data storage, significantly enhancing the utility and efficiency of drone ecosystems. Furthermore, the communicator 100 is integrated with the drone, providing seamless operation controls and enhanced performance. The system is designed with a communicator built-in frame, allowing easy integration of various sensors without any interference in the sensor performance.

[0029] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and / or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the scope of the appended claims.

Claims

CLAIMSWe claim:

1. An independent sensor communicator (100) over independent wireless network, the communicator (100) comprising: an external sensor interface (106) that is configured within a physical layer of a frame / chassis of an unmanned aerial vehicle (UAV) or a drone (104) to connect to one more sensors to a drone’s frequency communication system; a data processor (108) that is configured to processes raw data from the sensors, wherein the data processor (108) is configured within the physical layer of the Frame / Chassis of the UAV or the drone; a Wireless Communication Module (WCM) (110) that is configured to transmit the processed data from the drone frequency communication system to a ground station over the independent wireless network over an encrypted system; a Ground Station Receiver (GSR) (114) that is configured to receive the processed data from the WCM; and a data management module (116) that is configured to perform at least one of storing of the processed data; analysing the processed data over independent frequency; and generating actions for drone related operations based on the analysed data.

2. The communicator (100) as claimed in claim 1, wherein the GSR at the ground station receives the data and forwards the data to the DMS.

3. The communicator (100) as claimed in claim 1, wherein the one or more sensors are external sensors to the drone integrated with a frame / chassis of the UAV / drone4. The communicator (100) as claimed in claim 1, wherein the external sensors are format- independent, capable of connecting to various types of sensors over encrypted network of independent frequency.

5. The communicator (100) as claimed in claim 1, wherein the data management module supports real-time data processing, data modelling, and large-scale data storage.

6. A method for providing an independent sensor communicator over independent wireless network, the method comprising: configuring an external sensor interface (106) with frame to connect to one or more sensors to a drone's frequency communication system; configuring a data processor (108) to processes raw data from the sensors; configuring a Wireless Frequency Communication Module (WCM) (110) to transmit the processed data from the drone communication system to a ground station over the independent wireless network via encrypted channel / bandwidth; configuring a Ground Station Receiver (GSR) 114 to receive the processed data from the WCM (110); and configuring a data management module (116) to perform at least one of: storing of the processed data; analysing of the processed data over independent frequency; and generating actions for drone related operations based on the analysed data.

7. The method as claimed in claim 6, wherein the GSR at the ground station receives the data and forwards the data to the DMS.

8. The method as claimed in claim 6, wherein the one or more sensors are external sensors to the drone and its unique frame.

9. The method as claimed in claim 6, wherein the external sensors are format-independent but communicate over encrypted protocol, capable of connecting to various types of sensors.

10. The method as claimed in claim 6, wherein the data management module supports realtime data processing including noise reduction, data modelling, and large-scale data storage.

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