Subsurface Sensor Array for Real-Time ORP and Temperature Monitoring
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Solution Overview
Problem
Current methods for monitoring subsurface conditions, particularly in contaminated areas, are inefficient due to reliance on manual sampling and laboratory analysis, which are time-consuming and costly, and face challenges in accurately measuring oxidation-reduction potentials (ORP) in heterogeneous environments.
Innovation Solution
A system comprising a sensor array with temperature, water-level, and oxidation reduction potential sensors that transmit data wirelessly to a data collector and monitoring system, enabling real-time, continuous monitoring and visualization of subsurface conditions, reducing the need for physical samples and improving ORP measurement accuracy by using dimensionally-stable point sensing electrodes and catalytic surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual sampling and laboratory analysis are used for monitoring subsurface conditions, then measurement accuracy may be maintained, but time consumption and cost increase significantly
Solution Approach 1:
The patent replaces manual mechanical sampling operations with automated sensor systems that continuously measure subsurface conditions in real-time. Sensors deployed in the subsurface formation automatically collect data on temperature, oxidation-reduction potential, and water level, eliminating the need for manual sampling and laboratory analysis while maintaining measurement accuracy through electronic detection methods.
Solution Approach 2:
The sensor system performs self-measurement and data collection without requiring human intervention for each sampling event. The sensors autonomously monitor subsurface conditions continuously, storing and transmitting data without manual operation, thereby reducing time consumption while maintaining measurement precision through automated electronic sensing.
2Productivity
If manual sampling methods are used, then equipment complexity remains low, but productivity and monitoring efficiency decrease
Solution Approach 1:
The monitoring system is divided into separate functional modules: sensors for measuring specific parameters (temperature, ORP, water level), a data collector for aggregating measurements, and a processing system for analyzing data. This segmentation allows each component to perform its function efficiently, improving overall productivity while managing complexity through modular design.
Solution Approach 2:
The sensor array integrates multiple sensing capabilities into a single deployed system, with sensors that can measure temperature, oxidation-reduction potential, and water level simultaneously. This multi-functionality improves monitoring efficiency by collecting comprehensive subsurface data through one system rather than requiring separate equipment for each parameter.
3Measurement precision
If standard ORP measurement methods are used in heterogeneous environments, then measurement simplicity is maintained, but measurement precision deteriorates
Solution Approach 1:
The patent employs multiple ORP sensors positioned at different locations within the subsurface formation to capture spatial variations in oxidation-reduction conditions. Each sensor measures local ORP at its specific position, allowing the system to resolve heterogeneous redox conditions that would be averaged out in single-point measurements, thereby improving measurement precision through distributed sensing.
Solution Approach 2:
The system transitions from single-point ORP measurement to multi-dimensional spatial sampling by deploying sensors at multiple depths and locations. This dimensional expansion allows the system to map ORP variations throughout the subsurface formation, capturing heterogeneous conditions that exist at different spatial positions and improving overall measurement accuracy.
4Loss of information
If continuous real-time monitoring is implemented, then information timeliness improves, but energy consumption and device complexity increase
Solution Approach 1:
The sensor system performs measurements at periodic intervals rather than continuously, collecting data at scheduled times while allowing periods of lower activity. This periodic operation maintains information timeliness by providing regular updates on subsurface conditions while reducing energy consumption compared to truly continuous monitoring, as sensors can enter low-power states between measurement cycles.
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 approach provides timely, cost-effective monitoring of subsurface conditions, enhances ORP measurement reliability, and allows for spatial-temporal analysis of biogeochemical processes, improving the assessment of contamination and remediation efforts.
Implementation Method 1
obtain an oxidation reduction potential measurement of the subsurface of the monitored area
Data Source
AI summary
A subsurface monitoring system and method is provided that includes a sensor array and a monitoring system in communication with the array. The sensor array may include several sensors, such as subsurface temperature sensors, water-level sensors, and oxidation reduction potential sensors may be disposed in a vertical and/or horizontal fence through the subsurface of the monitored site. The sensor array may measure, collect, and analyze the subsurface conditions and provide the measurements to a monitoring system. The monitoring system may provide access the measurements via a user interface for analysis of the measurements. In addition, the monitoring system may process the measurements to generate one or more graphs of information for better understanding of the conditions of the subsurface of the monitored site.