Modular Drone Sprayer Payload Swapping for Autonomous Refilling

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Solution Overview

Problem

Current drone-based aerial spraying systems require significant human labor for configuration, maintenance, and operation, and lack automated security and accurate interaction with ground stations, as well as efficient battery-payload integration.

Innovation Solution

The system comprises unmanned aerial vehicles (UAVs) that can automatically attach and carry various payloads, with a ground station featuring automated filling and refilling capabilities, enhanced security through authentication processes, and modular battery integration for continuous operation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If automated filling and refilling capabilities are implemented, then human labor input is reduced, but device complexity increases

Engineering Contradiction:
Improveautomated filling and refillingVSAvoidground station complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The ground station is divided into functional modules including a control subsystem, fill subsystem with material tanks, battery subsystem with charging stations, and security subsystem. Each module performs a specific function, allowing automated operations while managing complexity through modular design. The UAVs are also segmented with separate payload, battery, and airframe components that can be independently managed.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system enables self-service operations where UAVs autonomously return to the ground station for automated refilling of chemical payloads and recharging of batteries without human intervention. The control subsystem automatically manages the refilling and recharging processes, allowing the system to service itself and maintain continuous operation.

Inventive Principle:
Principle #25Self-service

2Reliability

If security authentication processes are implemented, then ground station security is enhanced, but operational time is increased

Engineering Contradiction:
Improveground station securityVSAvoidauthentication time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

UAVs and ground station components are pre-configured with unique identification codes and authentication credentials before operation. The security authentication process verifies these pre-established credentials quickly, ensuring ground station security while minimizing authentication time through prior preparation of security credentials.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If modular battery-payload integration is implemented, then operational flexibility is improved, but device complexity increases

Engineering Contradiction:
Improvebattery-payload integration flexibilityVSAvoidintegration system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The UAV system uses modular segmentation where batteries and chemical payloads are separate interchangeable modules. Payloads can be quickly swapped at the ground station without removing or charging the battery, allowing flexible reconfiguration for different missions while managing integration complexity through standardized coupling interfaces.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The ground station is designed with universal charging stations and payload refill stations that can service multiple UAV types. The standardized interfaces allow different UAV models to use the same battery and payload modules, enhancing system versatility while controlling complexity through design standardization.

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Productivity

If automated UAV refilling and recharging is implemented, then productivity is improved, but measurement precision requirements increase

Engineering Contradiction:
Improveaerial application efficiencyVSAvoidUAV-ground station interaction accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system incorporates feedback mechanisms where UAVs transmit their position, battery status, and payload level data to the control subsystem. The control subsystem uses this feedback to automatically guide UAVs to appropriate charging and refilling stations, and to monitor the refilling/recharging processes to ensure precision and completeness of operations.

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution reduces human input, enhances security, and improves the accuracy and efficiency of aerial application by enabling autonomous operation, continuous flight, and quick switching between chemical payloads, allowing for precise and efficient agricultural treatment.

Implementation Method 1

a pump configured to pump the payload chemical from the payload reservoir to the spray nozzle

Methodology Applied
Scientific EffectPumping: Pump

Implementation Method 2

a battery configured to power the pump

Methodology Applied
Scientific EffectElectrical power conversion: Battery (electricity)

Implementation Method 3

a spray nozzle configured to selectively apply the payload chemical to at least a portion of the agricultural area

Methodology Applied
Scientific EffectSpray: Spray

Data Source

PatentUS11235874B2Automated drone-based spraying system
Publication Date: 2022.02.01 GREENSIGHT AGRONOMICS INC
  • US11235874B2 patent drawing
  • US11235874B2 patent drawing
  • US11235874B2 patent drawing

AI summary

Systems and methods for the automated aerial application of chemicals onto agricultural areas. Unmanned aerial vehicles (UAVs) are configured to selectively attach to modular sprayer payloads, each payload having a payload reservoir, a spray nozzle, a pump, and a battery. A ground station having landing pads for the UAVs is configured to coordinate and automatically fill at least one payload reservoir from a material tank and provide the payload to a given UAV. A control subsystem can determine a mission plan and command the UAV to selectively deliver the contents of the payload reservoir to at least a portion of one or more agricultural areas.