ORP-Based Disinfectant Dosing Control for Animal Water Safety
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Solution Overview
Problem
Current methods for monitoring and maintaining disinfectant levels in animal drinking water are inadequate, as they rely solely on measuring disinfectant levels without considering factors like pH and ORP, leading to potential under-dosing or over-dosing, which can compromise water safety and efficiency.
Innovation Solution
A system utilizing ORP sensors and controllers to monitor and automatically adjust disinfectant levels, including pH adjustments, to maintain a desired minimum disinfectant level, ensuring effective disinfection capacity in animal drinking water.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only disinfectant level is measured and monitored, then the monitoring system is simple, but the real disinfecting capability is masked leading to under-dosing or over-dosing
Solution Approach 1:
The patent combines multiple measurement parameters (disinfectant level, pH, ORP, temperature, water hardness) into a single integrated monitoring system that comprehensively assesses disinfecting capability. The controller integrates data from all sensors to provide a complete picture of water quality and disinfection effectiveness.
Solution Approach 2:
The monitoring system is designed to measure multiple parameters simultaneously using a single integrated platform. The controller can handle disinfectant level, pH, ORP, temperature, and hardness measurements, making it a universal monitoring solution that addresses all factors affecting disinfection capability.
2Reliability
If disinfectant level is increased to ensure safety, then pathogen inactivation is improved, but waste increases and animals may be harmed
Solution Approach 1:
The system continuously monitors disinfectant levels, pH, ORP, and other parameters, then automatically adjusts disinfectant dosing based on real-time conditions. This closed-loop feedback control ensures adequate disinfection while preventing over-dosing by reducing disinfectant addition when levels are already sufficient.
Solution Approach 2:
The disinfectant dosing is made dynamic rather than static. The system continuously adjusts the disinfectant addition rate based on changing water quality conditions, animal consumption patterns, and measured parameters, optimizing the balance between safety and waste reduction.
3Loss of substance
If disinfectant dosing is reduced to minimize waste, then chemical usage is optimized, but pathogen inactivation capability decreases
Solution Approach 1:
The continuous monitoring and automatic adjustment system ensures disinfectant dosing is optimized based on actual water quality conditions. The feedback loop detects when disinfection effectiveness is sufficient and reduces dosing accordingly, preventing waste while maintaining pathogen inactivation capability.
Solution Approach 2:
The system monitors and responds to changes in water quality parameters (pH, temperature, hardness, ORP) that affect disinfection effectiveness. By adjusting disinfectant dosing in response to these parameter changes, the system maintains effective pathogen inactivation while optimizing chemical usage efficiency.
4Measurement precision
If multiple parameters (pH, ORP, temperature, hardness) are monitored, then real disinfecting capability is accurately assessed, but system complexity increases
Solution Approach 1:
Multiple measurement functions are merged into a single integrated monitoring system with a central controller that processes all sensor inputs. This consolidation provides comprehensive disinfection capability assessment while managing system complexity through unified architecture.
Solution Approach 2:
The monitoring system performs multiple measurement functions (disinfectant level, pH, ORP, temperature, hardness) through a single multi-functional platform, eliminating the need for separate monitoring systems for each parameter and reducing overall system complexity.
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
The system ensures consistent and optimal disinfectant levels in animal drinking water, reducing the risk of pathogens and improving water safety by automatically monitoring and controlling disinfectant dosing based on real-time ORP readings.
Implementation Method 1
Oxidation-Reduction Potential (ORP) is an electronic measurement, in millivolts (mV), of the oxidizing capability in the water. ORP is a reliable indicator of the real-time disinfecting capability of water.
Implementation Method 2
When chlorine reacts with water, the reaction forms hypochlorous acid (HClO) and hypochlorite ion (ClO−), both of which play a key role in oxidation and disinfection. Oxidizers remove electrons from microbial membranes which compromises the structure and rigidity of the membrane.
Data Source
AI summary
A system and method for monitoring disinfectant levels in non-human animal drinking water using ORP and optionally pH measurements and adding disinfectant or pH adjusting agents as needed. Sensors obtain measurements of the water upstream of a point of consumption and a controller compares measurements to predetermined thresholds, ranges, or previous measurements to determine if the disinfectant and optionally pH levels are within a desired range or above or below a desired minimum or a desired maximum value. A disinfectant dosing system preferably automatically adds disinfectant to the supply line based on the measurement comparison. A flow switch preferably keeps the system from activating disinfectant addition when water in the supply line is static (non-flowing). An alert is preferably triggered when a measurement indicates the disinfectant level is too low or too high or when a volume of disinfectant in the dosing system is below a predetermined volume threshold.