Central Irrigation Control Software Hierarchical Segmentation
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Solution Overview
Problem
Large irrigation systems face challenges in efficiently managing watering schedules, monitoring operations, and adjusting for soil moisture, precipitation, and pump efficiency, often requiring complex manual interventions and lacking integrated, user-friendly interfaces for central control.
Innovation Solution
The development of irrigation control software with a hierarchical interface for watering plans, real-time soil moisture monitoring, precipitation management, and water pump efficiency profiling, along with features like instant program creation, manual irrigation control, and conditional screen savers, enables centralized and automated management of irrigation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a central irrigation controller manages large irrigation systems with multiple satellite controllers, then the system can cover large areas and coordinate multiple zones, but the system complexity and difficulty of management increase significantly
Solution Approach 1:
The system divides the large irrigation control task into hierarchical segments: a central controller handles high-level scheduling and coordination, while multiple satellite controllers manage local zone execution. This segmentation allows the system to cover large areas while distributing complexity across multiple manageable components rather than requiring one monolithic complex controller.
Solution Approach 2:
The central controller acts as an intermediary that coordinates between weather data sources, soil moisture sensors, and multiple satellite controllers. It receives environmental data, processes irrigation requirements, and distributes optimized schedules to satellite controllers, simplifying the management interface while maintaining comprehensive system coordination.
2Productivity
If manual adjustments are made to irrigation schedules for soil moisture and precipitation, then irrigation can be optimized for specific conditions, but the time and effort required for manual intervention increase
Solution Approach 1:
The system implements self-service through automated weather data integration and soil moisture monitoring. Weather services automatically provide precipitation and temperature data, soil moisture sensors continuously monitor ground conditions, and the central controller automatically adjusts irrigation schedules based on this data without requiring manual intervention, yet maintains optimized irrigation efficiency.
Solution Approach 2:
The system establishes feedback loops where soil moisture sensors continuously monitor ground conditions and weather services provide real-time environmental data. The central controller processes this feedback information and automatically adjusts irrigation schedules, creating a closed-loop system that optimizes irrigation based on actual conditions without manual time investment.
3Measurement precision
If comprehensive monitoring of soil moisture, precipitation, and pump operation is implemented, then irrigation optimization improves, but the amount of data to process and interfaces to manage increase
Solution Approach 1:
The central controller serves multiple functions simultaneously: it collects data from weather services and soil moisture sensors, processes irrigation scheduling, monitors pump operation, and communicates with multiple satellite controllers. This multi-functionality consolidates diverse monitoring and control tasks into a single universal interface, reducing the number of separate interfaces users must manage while maintaining comprehensive monitoring accuracy.
4Loss of substance
If automated scheduling based on weather data and soil moisture is implemented, then water usage optimization improves, but the sophistication of control algorithms and data processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-fetching weather data and soil moisture information before irrigation events. The central controller proactively analyzes upcoming weather conditions and current soil moisture levels to pre-calculate optimized irrigation schedules, allowing automated water conservation without requiring complex real-time decision algorithms during actual irrigation execution.
Data Source
AI summary
In one embodiment of the present invention, irrigation software is provided for an irrigation system. The irrigation software may include a hierarchical watering plan display, water pump adjustment, water pump efficiency profile use, a soil moisture interface, a historical flow interface, a demand ET interface, an instant program interface, an instant program interface, a manual irrigation interface, a precipitation management group interface, a rain schedule adjustment algorithm, a map-to-monitor button, a universal start time shift interface, and a conditional screen saver.