Water Quality Monitoring with Sensor Abnormality Detection
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Solution Overview
Problem
Existing water quality monitoring systems rely on numerical values from sensors, leading to erroneous adjustments if sensors fail or need calibration, causing incorrect data and potential environmental control issues.
Innovation Solution
A water quality monitoring system with sensors, actuators, and an embedded system that includes a storage module for normal parameter ranges, a data collection module, a data analysis module to determine abnormal signals, and a control module to adjust or warn about sensor abnormalities, preventing incorrect adjustments and reminding users to calibrate sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system uses sensor numerical values for water quality monitoring, then the monitoring function is simple and direct, but the system cannot detect sensor failures or calibration needs, leading to erroneous adjustments
Solution Approach 1:
The system performs preliminary validation of sensor data by comparing readings against predefined normal parameter ranges before using the data for control decisions. This advance checking prevents erroneous adjustments while maintaining relatively simple system architecture.
Solution Approach 2:
The system implements feedback mechanisms where sensor readings are continuously validated against normal ranges, and abnormal readings trigger warnings or alerts. This feedback loop ensures data reliability without requiring complex additional hardware.
2Loss of information
If the system issues warnings based on upper and lower limits, then the monitoring is straightforward, but it cannot distinguish between actual water quality problems and sensor failures
Solution Approach 1:
The system segments the monitoring function into distinct modules: data collection, data analysis for abnormality detection, and control/warning generation. This segmentation allows the system to provide detailed information about sensor status while maintaining ease of operation through automated processing.
Solution Approach 2:
The data analysis module acts as an intermediary between raw sensor data and control decisions. It validates sensor readings against normal parameter ranges and provides interpreted information to the control module, improving information accuracy without complicating user interaction.
3Productivity
If the system performs environmental control based on sensor values, then the control response is immediate, but incorrect sensor values cause erroneous adjustments
Solution Approach 1:
The system performs preliminary validation of sensor data against normal parameter ranges before executing control actions. This advance checking ensures control accuracy is not compromised while maintaining immediate response through automated validation processes.
Solution Approach 2:
The system implements feedback validation where sensor readings are checked against normal ranges before control decisions are made. This feedback mechanism prevents erroneous adjustments while maintaining rapid control response through automated decision-making.
Data Source
AI summary
A water quality monitoring system is provided, including several sensors, several actuators, and an embedded system. The sensors sense environmental parameters and separately output a plurality of sensing signals including the environmental parameters. The actuators change the environmental parameters. The embedded system includes a storage module, a data collection module, a data analysis module, and a control module. The storage module stores a plurality of normal parameter ranges that correspond to the respective environmental parameters. The data collection module is connected to the sensors for receiving the sensing signals. The data analysis module is connected to the storage module and the data collection module to determine whether the sensing signals are abnormal according to the normal parameter ranges and output a determination result. The control module is connected to the data analysis module to control the actuators or output a warning signal according to the determination result.