HANDHELD EDGE CONTROL DEVICE WITH AI-DRIVEN RECOMMENDATIONS AND CONTROL ANALYTICS FOR AGRICULTURAL COMBINE HARVESTERS USING BLE AND WIRELESS TECHNOLOGY

Abstract

A handheld edge control device with ai-driven recommendations and control analytics for agricultural combine harvesters using ble and wireless technology comprises an independent power source, together with environmental sensors, dual actuators and a wireless communication module, is embedded on the Field Control Node which assists in monitoring and making necessary control modifications on the agricultural combine harvesters, it is the node that makes it possible to obtain information along with its easy transmission to the handheld control device making sure that the machine and its operations are optimized the operator’s primary interface for controlling and modifying the settings of a combine harvester is the Handheld Control Node which consists of the control interface, independent power source, wireless communication module, data display and an alerting system. Such devices are used for the so-called “closed loop control” configuration, thanks to which real-time data is displayed and suggestions are made, significantly optimizing the interaction with machine controls and facilitating active management during fieldwork.

Specification

Description:FIELD OF THE INVENTION
This invention relates to handheld edge control device with ai-driven recommendations and control analytics for agricultural combine harvesters using ble and wireless technology.
BACKGROUND OF THE INVENTION
This innovation provides agricultural combine harvesters with a portable edge control system through AI-assisted recommendations and control analytics for optimized operations in real time. The system is a multi-node structure that comprises field control unit, which assesses several parameters and provides corrective actions based on the needs of the machine and the handheld device that interacts with the operator. The system processes operational information, which is uploaded for ML analysis in the cloud through communication equipment that allows the transfer of recent information more easily. Information and suggestions are made available to the operators of the machines through a smartphone application, thereby assisting them in decision making, increasing efficiency of the machines and enhancing control from the field.
This invention addresses a gap in advanced automated control in agricultural combine harvesting. Such processes can be negatively influenced by the inconsistent operation of the machine, the varying conditions present in the operator's field and field, and the physical dimensions of the operator. These factors have an adverse effect on the targeted crop yield and machine life, as well as costs of fuel used up during the process. The key drawback of the current harvester was the constraints of its controls which did not allow real time changes to be made nor enable suggestions to the operator, causing subsistence businesses to operate far below what they must; and its machinery to require increased maintenance. However, with AI-powered recipes and real-world analytics integrated into a handheld control device, the operators are able to make timely and relevant adjustments of the machine by reducing fuel consumption and enhancing the productivity as well as the sustainability of the entire harvesting process.
US7805916B2: A work machine for harvesting a cane crop having a lower crop material gathering device, the work machine including a chassis and an upper crop material gathering device coupled to said chassis. The upper crop material gathering device including at least one moving device configured to substantially surround a stalk of a cane crop plant as said at least one moving device moves, and a stalk engaging device positioned proximate to the at least one moving device. The stalk engaging device being configured to pull the stalk from the at least one moving device, thereby stripping grain from a head of the cane crop plant.
RESEARCH GAP: IoT integrated Control Solution with Application for this is the novelty of the system.
US11154008B2: In one aspect, a system for operating an agricultural harvester may include a sensor assembly configured to detect a parameter indicative of an operating line of the harvester. The system may also include a controller configured to monitor the operating line of the harvester based on measurement signals received from the sensor assembly when the harvester is operated in a first operating mode. The controller may also be configured to determine a differential between the operating line and a predetermined guidance line of the harvester. Furthermore, the controller may be configured to update a stored correction value based on the determined differential. Additionally, when the harvester is switched from the first operating mode to a second operating mode, the controller may be configured to adjust a location of the predetermined guidance line based on the stored correction value.
RESEARCH GAP: AI-driven handheld edge control with real-time analytics and cloud-based recommendations for optimizing agricultural combine harvester operations using Bluetooth and wireless technology is the novelty of this system.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
As an example in agriculture, in the operation of combine harvesters, the machine and its control parameters should be as effective as possible to enhance the crop yield, reduce fuel consumption as well as machine service. But combine harvester controls are usually in most cases manual that depend on the operator's experience and adjustment from time to time and this wastes time. This innovation is much more advanced as it provides the operatives with a hand-held device to carry where they can view the live data of the machine as well as get data based information where the data is from the machine learning analysis. So this innovation is edge control system for agricultural combine harvesters, but at the same time designed to improve the operation of combine harvesters by using AI, big data cloud analytics and IoT technology. The Field Control Node is attached to the harvester, and it incorporates temperature and humidity sensors for measurement and operational actuators for adjustment in response to the operational needs. It is every so often receiving information concerning the state of the machine and some environmental parameters and transmitting this to the hand-held node via Bluetooth. The ability of the remote node to perform processing tasks means that changes to how the machine operates can be done without delay in relation to the actual conditions. The operator's handheld node is equipped with the control interface, control options, and various AI-generated suggestions as well as the real time data. The operator has the ability to communicate with the system, control suggestions, analytics, and receive alerts via a portable node fitted with a keypad and a screen. This node also has the GSM modem inbuilt to wirelessly send the data to a proprietary cloud app which stores the data and deploys machine learning techniques to interpret it in terms of actionable outcomes. These recommendations are subsequently made available to the operator using a mobile device, the application further improves the ability of the operator to access the system remotely and gives an overview of the performance of the machine and the conditions in the field.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As an example in agriculture, in the operation of combine harvesters, the machine and its control parameters should be as effective as possible to enhance the crop yield, reduce fuel consumption as well as machine service. But combine harvester controls are usually in most cases manual that depend on the operator's experience and adjustment from time to time and this wastes time. This innovation is much more advanced as it provides the operatives with a hand-held device to carry where they can view the live data of the machine as well as get data based information where the data is from the machine learning analysis. So this innovation is edge control system for agricultural combine harvesters, but at the same time designed to improve the operation of combine harvesters by using AI, big data cloud analytics and IoT technology. The Field Control Node is attached to the harvester, and it incorporates temperature and humidity sensors for measurement and operational actuators for adjustment in response to the operational needs. It is every so often receiving information concerning the state of the machine and some environmental parameters and transmitting this to the hand-held node via Bluetooth. The ability of the remote node to perform processing tasks means that changes to how the machine operates can be done without delay in relation to the actual conditions. The operator's handheld node is equipped with the control interface, control options, and various AI-generated suggestions as well as the real time data. The operator has the ability to communicate with the system, control suggestions, analytics, and receive alerts via a portable node fitted with a keypad and a screen. This node also has the GSM modem inbuilt to wirelessly send the data to a proprietary cloud app which stores the data and deploys machine learning techniques to interpret it in terms of actionable outcomes. These recommendations are subsequently made available to the operator using a mobile device, the application further improves the ability of the operator to access the system remotely and gives an overview of the performance of the machine and the conditions in the field.
BEST METHOD OF WORKING
An independent power source, together with environmental sensors, dual actuators and a wireless communication module, is embedded on the Field Control Node which assists in monitoring and making necessary control modifications on the agricultural combine harvesters. It is the node that makes it possible to obtain information along with its easy transmission to the handheld control device making sure that the machine and its operations are optimized.
The operator's primary interface for controlling and modifying the settings of a combine harvester is the Handheld Control Node which consists of the control interface, independent power source, wireless communication module, data display and an alerting system. Such devices are used for the so-called "closed loop control" configuration, thanks to which real-time data is displayed and suggestions are made, significantly optimizing the interaction with machine controls and facilitating active management during fieldwork.
The Handheld Control Node also includes a GSM Communication Module that allows for the remote transmission of data to a secure cloud server where it is analyzed. This unit guarantees that the data flow will not be interrupted as the information will continuously be sent from the field to the cloud, making possible the provision of AI-based insights and analytics for operational machines regardless of their current location.
Also so-called Interactive Display as a component of the Handheld Control Node is helpful in the real-time monitoring of combine harvester operations. This visualization enables the users to see any information, control functions, and get any recommendations from the Ai directly which increases efficiency of control and involvement of users' activities.
Bluetooth Communication Module is also mounted in the Field Control Node as well the Handheld Control Node, allows reliable data transfer between the nodes with low power usage. This module achieves the goal of real time data transfer over the network and broadcasts control changes allowing fluid operational performance across the entire system.
ADVANTAGES OF THE INVENTION
1. Immediate information, including recommendations based on AI suggestions, empowers the operators to alter some work parameters instantly in order to make the best use of the harvester and achieve the most profitable crop.
2. Fuel expenditures are decreased, costs of operating the machinery are minimized, and there is an overall positive effect on environmental sustainability.
3. Active changes and proper recommendations as to when to use or not use specific details help to minimize machine age and maintenance expenses.
4. Touch screen device which is easily operable provides the operator clear and immediate interactive access to field data, alarms and control in the area of operations.
5. Thanks to cloud technology, it is possible to get analytic feedback on activities and performance for the records in history and utilize these in planning and conducting operations in the future through a mobile application.
, Claims:1. A handheld edge control device with ai-driven recommendations and control analytics for agricultural combine harvesters using ble and wireless technology comprises an independent power source, together with environmental sensors, dual actuators and a wireless communication module, is embedded on the Field Control Node which assists in monitoring and making necessary control modifications on the agricultural combine harvesters, it is the node that makes it possible to obtain information along with its easy transmission to the handheld control device making sure that the machine and its operations are optimized.
2. The device as claimed in claim 1, wherein the operator's primary interface for controlling and modifying the settings of a combine harvester is the Handheld Control Node which consists of the control interface, independent power source, wireless communication module, data display and an alerting system. Such devices are used for the so-called "closed loop control" configuration, thanks to which real-time data is displayed and suggestions are made, significantly optimizing the interaction with machine controls and facilitating active management during fieldwork.
3. The device as claimed in claim 1, wherein the Handheld Control Node also includes a GSM Communication Module that allows for the remote transmission of data to a secure cloud server where it is analyzed, this unit guarantees that the data flow will not be interrupted as the information will continuously be sent from the field to the cloud, making possible the provision of AI-based insights and analytics for operational machines regardless of their current location.
4. The device as claimed in claim 1, wherein also so-called Interactive Display as a component of the Handheld Control Node is helpful in the real-time monitoring of combine harvester operations, this visualization enables the users to see any information, control functions, and get any recommendations from the Ai directly which increases efficiency of control and involvement of users' activities.
5. The device as claimed in claim 1, wherein Bluetooth Communication Module is also mounted in the Field Control Node as well the Handheld Control Node, allows reliable data transfer between the nodes with low power usage, this module achieves the goal of real time data transfer over the network and broadcasts control changes allowing fluid operational performance across the entire system.

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