Oxygen Injection Flow Monitoring for Water Basin Anomaly Detection
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Solution Overview
Problem
Current water treatment systems lack advanced detection methods for anomalies in oxygen injection apparatus malfunctions, leading to costly regular revisions and replacements, as existing methods are unable to predict failures effectively.
Innovation Solution
A predictive maintenance method is introduced, which compares the flow rate of oxygen injection with the intensity of fluid flow, allowing for the identification of deviations from normal operation by plotting fluid flow against oxygen flow, enabling early detection of anomalies and scheduling maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regular revisions or replacements of oxygen injection apparatus are performed to prevent breakdowns, then reliability of water treatment is improved, but cost and loss of time increase
Solution Approach 1:
The patent applies preliminary action by performing predictive maintenance through monitoring and analysis before actual failures occur. The system collects operational data, analyzes trends, and schedules maintenance interventions in advance based on predicted failure risks, rather than performing routine maintenance at fixed intervals or reacting to failures after they happen. This allows optimization of maintenance timing to balance reliability with minimizing operational disruption and cost.
2Reliability
If regular revisions or replacements of oxygen injection apparatus are performed to prevent breakdowns, then reliability of water treatment is improved, but cost increases
Solution Approach 1:
The patent applies preliminary action by performing predictive maintenance through monitoring and analysis before actual failures occur. The system collects operational data, analyzes trends, and schedules maintenance interventions in advance based on predicted failure risks, rather than performing routine maintenance at fixed intervals or reacting to failures after they happen. This allows optimization of maintenance timing to balance reliability with minimizing operational disruption and cost.
3Device complexity
If no predictive detection method is implemented, then device complexity remains low, but reliability deteriorates due to unexpected breakdowns
Solution Approach 1:
The patent applies feedback by implementing a closed-loop monitoring and analysis system. Sensors continuously collect operational data from the oxygen injection apparatus, the data is analyzed to detect anomalies and predict failures, and maintenance actions are triggered based on these predictions. The system then continues monitoring to verify the effectiveness of maintenance interventions, creating a continuous feedback cycle that improves reliability while maintaining manageable system complexity through modular architecture.
Data Source
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AI summary
Method for operating a water treatment plant, which plant is equipped with an apparatus for injecting a gas comprising oxygen into an effluent, the method comprising a phase of detecting anomalies in the operation of the apparatus, characterized in that the anomaly-detecting phase comprises the implementation of the following measures: - data representative of the operating state of the apparatus are provided, these data comprising readings as a function of time of the gas flow rate injected by the apparatus and readings as a function of time of the fluid current/flow rate passing through the apparatus; - a system for acquiring and processing these data is provided, this system being equipped with an algorithm for processing these data capable of carrying out the following: a) carrying out a training phase during which the system acquires said readings, establishes over a determined training time period the curve of variation in the magnitude of the current passing through the apparatus as a function of the flow rate of gas injected by the apparatus, and defines an area/envelope encompassing said curve, said area being considered to delineate a normal operation of the apparatus; and b) carrying out a phase of using the algorithm in which the system acquires, in real time, over a determined period of time, the curve of variation in the magnitude of the current passing through the apparatus as a function of the flow rate of gas injected by the apparatus, and determining, if the signal exits said area/envelope during a period of time considered to be representative, that it is necessary to conclude that an alarm must be raised, for example in order to request predictive maintenance of the apparatus.