Portable Chemical Detection for Real-Time Decontamination Certification
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Solution Overview
Problem
Current methods for chemical decontamination are time-consuming, expensive, and ineffective, leading to off-target contamination and legal risks, particularly in industrial and agricultural settings, with inadequate spray tank cleaning contributing to crop damage and increased pesticide use.
Innovation Solution
A portable chemical contaminant detection system with a probe and detector circuitry for real-time contaminant analysis, integrated with a mobile device for immediate data processing and transmission to a remote server, providing certification of decontamination completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional lab-based contaminant detection methods are used, then measurement precision is achieved, but loss of time increases due to delays in sending samples to labs and waiting for results
Solution Approach 1:
The patent extracts the contaminant detection function from centralized laboratory settings and places it directly at the point of need through portable field detectors. This allows contaminant levels to be measured on-site during cleaning operations, eliminating sample transport and waiting times while maintaining detection accuracy through specialized sensors and analysis algorithms.
Solution Approach 2:
The patent introduces mobile devices and wireless communication systems as intermediaries between field detectors and remote servers. This intermediary layer enables real-time data transmission and processing, allowing rapid verification of decontamination completion without the time delays associated with traditional laboratory workflows.
2Reliability
If copious amounts of cleaning agents and extended cleaning processes are used, then reliability of decontamination is improved, but loss of substance increases due to excessive water and chemical usage
Solution Approach 1:
The patent implements real-time feedback loops where portable detectors continuously monitor contaminant levels during cleaning operations. This feedback enables dynamic adjustment of cleaning intensity and duration, allowing the process to stop as soon as decontamination goals are met rather than using fixed, excessive cleaning protocols. This reduces water and chemical consumption while maintaining decontamination effectiveness.
Solution Approach 2:
The patent transforms static, predetermined cleaning protocols into dynamic, adaptive processes. Cleaning parameters such as water flow rate, chemical dosage, and process duration are adjusted in real-time based on actual contaminant levels detected by portable sensors, optimizing resource usage while ensuring reliable decontamination outcomes.
3Adaptability or versatility
If multiple probes detecting different contaminants are integrated, then adaptability of the detection system is improved, but device complexity increases
Solution Approach 1:
The patent designs portable detectors with multi-functional capabilities, where single devices can detect multiple types of contaminants using different probe technologies. This universal approach allows one detector unit to handle various cleaning scenarios and contaminant types, reducing the need for multiple specialized devices while managing complexity through integrated sensor arrays and unified processing systems.
Data Source
AI summary
A portable chemical contaminant detection system and related methods are provided. The contaminant detection system includes a portable detector having a probe and detector circuitry for detecting a predetermined contaminant in a sample. The system may also include a mobile device configured to wirelessly receive contaminant detection data from the portable detector and transmit the contaminant detection data from the portable detector to processor in real-time. The mobile device may be further configured to receive and display on the mobile device real-time contaminant level data processed by the processor from the contaminant detection data.