Imaging Subsystem for Industrial Plant Output Monitoring
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Solution Overview
Problem
Current systems for monitoring industrial plant activity and productivity lack real-time or near real-time capabilities to track downtime, cycle time, and disruptions, making it difficult for industries and governments to manage output and maintain adequate goods and services.
Innovation Solution
A system that includes an imaging subsystem to capture and process data from industrial stacks and effluent plumes, converting it into plant output activity or capacity utilization data, and providing trend analysis and reporting to adjust and maximize industrial output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring systems are used to track plant activity, then environmental and emission data can be collected, but real-time productivity and output data cannot be obtained
Solution Approach 1:
The imaging system originally designed for environmental monitoring is made multi-functional by enabling it to simultaneously measure both emission characteristics and plant productivity metrics. The same camera system that tracks effluent plumes now also quantifies stack height, plume volume, and operational status to derive productivity data.
Solution Approach 2:
Effluent plumes serve as an intermediary medium that carries information about both environmental discharge and plant operational status. By analyzing plume characteristics (volume, height, density), the system extracts dual information: emission data for environmental compliance and productivity indicators for operational management.
2Measurement precision
If existing detection systems are deployed, then emission composition can be analyzed, but plant output and capacity utilization cannot be monitored
Solution Approach 1:
The system changes the parameters being measured from purely compositional (emission chemistry) to include physical characteristics (plume volume, height, density, temporal patterns). These physical parameters serve as proxies for plant output and capacity utilization, enabling productivity monitoring without direct production data.
3Loss of information
If manual data collection methods are used, then detailed plant activity data can be gathered, but real-time response to disruptions is delayed
Solution Approach 1:
The imaging system operates continuously to capture plant stack activity, providing an unbroken data stream that enables real-time detection of disruptions. This continuous monitoring eliminates gaps in data collection and allows immediate response to operational changes, maintaining both data completeness and timely response.
4Productivity
If comprehensive plant monitoring is implemented, then productivity data can be obtained, but system complexity increases
Solution Approach 1:
The system uses the plant's own effluent plumes as the monitoring medium, eliminating the need for separate sensors or direct access to production equipment. The plumes naturally contain the information needed for productivity assessment, so the system monitors what the plant already produces rather than requiring additional complex measurement infrastructure.
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
Enables instantaneous, periodic, or intermittent distribution of productivity data to stakeholders, allowing for better management of industrial output and response to disruptions, thereby stabilizing and maximizing overall industrial productivity.
Implementation Method 1
an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility
Data Source
AI summary
A monitoring system is disclosed for acquiring output activity, utilization capacity and/or effluent data from an facility on a facility-by-facility and/or an industry-by-industry basis. The system is designed to generate a plant and/or industry output activity database that is updated on a continuous, near continuous, periodic and/or intermittent basis so that subscribers are apprised of changes in plant or overall industry output. A clearing house is also disclosed for distributing the acquired data to subscribers to aid in analyzing, predicting trends, pricing, maintaining, adjusting, minimizing, and/or maximizing individual plant or overall industry output.