Onsite Geospatial Irrigation Control for Low-Latency Automation
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Solution Overview
Problem
Traditional irrigation systems face complications due to offsite data processing, leading to increased data flow complexity, delayed actions, higher operational costs, and potential disruptions in critical automation processes if communication with external servers is lost.
Innovation Solution
Implementing an onsite computing device within the irrigation system to process geospatial data, which receives sensor data, determines trends, and adjusts operations, thereby simplifying data flow, reducing transmission payloads, and ensuring continuous critical automation processes even without external server communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If geospatial data is transmitted to an external computer server for processing, then data analysis can be performed, but data flow complexity increases and transmission payload increases
Solution Approach 1:
The patent extracts the data processing function from the external server and implements it locally within the irrigation system controller. This allows the system to maintain data analysis capability while eliminating the need for complex data transmission protocols and reducing payload requirements, as processing occurs where the data is generated.
Solution Approach 2:
The irrigation system controller serves as an intermediary that performs data processing locally before any external communication is needed. This mediator approach eliminates the need for complex bidirectional data flows between external servers and the irrigation system, simplifying the overall data architecture.
2Loss of information
If geospatial data is transmitted to an external computer server for processing, then data analysis can be performed, but action delay increases
Solution Approach 1:
The system performs data processing preliminarily and continuously within the controller, maintaining an up-to-date understanding of system state without waiting for external server responses. This preliminary local processing enables immediate automated responses to critical events without the time delays associated with external communication cycles.
Solution Approach 2:
The irrigation system controller performs self-service data processing, analyzing its own geospatial data locally without requiring external server intervention. This self-sufficient approach eliminates communication delays and enables real-time automated control decisions based on current system conditions.
3Loss of information
If geospatial data is transmitted to an external computer server for processing, then data analysis can be performed, but operational cost increases
Solution Approach 1:
The controller performs self-service data processing locally, eliminating the need for expensive external server resources. This reduces operational costs associated with cloud computing services, data transmission fees, and external processing while maintaining full data analysis capability within the irrigation system itself.
Data Source
AI summary
A computing device for processing geospatial data associated with an irrigation system comprises a processing element in electronic communication with a memory element. The processing element is configured or programmed to receive sensor data over time from a plurality of sensors associated with the irrigation system, receive or determine geolocation data, link data from each sensor with geolocation data to form geospatial data, determine trends in the geospatial data for each sensor or a group of sensors, determine changes or adjustments in an operation of components of the irrigation system based on trends determined in the geospatial data, and output an electronic signal whose analog level or digital data value varies according to the changes or adjustments in the operation of components of the irrigation system.