Sediment Pollution Flume with Real-Time Monitoring and Auto Sampling
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Solution Overview
Problem
Existing simulation devices for bottom sediment pollution lack the capability to accurately control various environmental parameters at the sediment/water interface, fail to detect water quality indexes and collect samples automatically, and operate inefficiently due to the absence of an intelligent control system, limiting their ability to simulate complex lake environments and monitor data in real-time.
Innovation Solution
An intelligent simulation device is developed, comprising an experimental flume, wave-making system, illumination system, dosing system, aeration system, online environmental parameter monitor, online water quality index analyzer, automatic sampling device, and an automatic control module, which connects and operates these subsystems to accurately control environmental conditions, monitor parameters in real-time, and collect samples automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing simulation devices are used, then the structure is simple or the device is relatively complete, but the capability to accurately control environmental parameters at the sediment/water interface is lacking
Solution Approach 1:
The simulation device is divided into multiple independent subsystems including water quality parameter control subsystem, environmental parameter control subsystem, online monitoring subsystem, and automatic sampling subsystem. Each subsystem independently controls specific parameters, enabling precise control of environmental conditions at the sediment/water interface while maintaining modular structure that avoids excessive complexity.
Solution Approach 2:
The control system integrates multiple functions into a unified platform that can simultaneously control water quality parameters (nitrogen, phosphorus, organic matter), environmental parameters (temperature, pH, dissolved oxygen), hydrodynamic conditions, and illumination. This multi-functional approach achieves comprehensive parameter control without requiring separate dedicated devices for each function.
2Extent of automation
If existing simulation devices are used, then the device structure is simple, but automatic detection and sample collection capabilities are absent
Solution Approach 1:
The online monitoring subsystem automatically detects water quality parameters and environmental parameters in real-time without manual intervention. The automatic sampling subsystem autonomously collects water samples at predetermined intervals and locations, and the system self-regulates parameter control based on feedback from monitoring data, reducing the need for manual operation while maintaining manageable system complexity.
Solution Approach 2:
The monitoring subsystem continuously provides feedback on actual parameter values, which are compared with target values by the control system. This feedback mechanism enables automatic adjustment of control actions to maintain desired environmental conditions,实现ing closed-loop control that enhances automation without requiring overly complex manual intervention systems.
3Measurement precision
If existing simulation devices are used, then the structure is simple, but real-time monitoring of data is not possible
Solution Approach 1:
The online monitoring subsystem operates continuously to track water quality parameters and environmental parameters in real-time, providing uninterrupted data streams for analysis. This continuous monitoring capability enables timely detection of parameter changes and immediate control responses, achieving high measurement precision and real-time awareness while using standardized sensing and data acquisition technologies that keep system complexity manageable.
4Productivity
If existing simulation devices are used, then the device is simple or relatively complete, but operational efficiency is low due to absence of intelligent control system
Solution Approach 1:
The intelligent control system replaces manual mechanical operation with automated electronic control. The system uses computer-based algorithms to regulate water quality parameters, environmental conditions, and sampling operations, substituting manual adjustment and monitoring with automated feedback-controlled systems. This increases operational efficiency by enabling simultaneous control of multiple parameters and reducing human labor requirements while maintaining control system complexity at acceptable levels through modular architecture.
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
The device enables precise control of sediment/water interface conditions, real-time monitoring of environmental and water quality parameters, and automatic sample collection, facilitating the research and development of sediment pollution control technologies and ecological restoration methods.
Implementation Method 1
wave-making system, which is installed on an upper part of an inner wall of the experimental flume and can be used to produce wind waves for the sediment/water interface
Implementation Method 2
an aeration system, which is installed on the upper part of the inner wall of the experimental flume, and can be used to perform aeration treatment on the water body in the experimental flume, so as to control dissolved oxygen of the water body
Implementation Method 3
online environmental parameter monitor, which is installed on the inner wall of the experimental flume and can extend to different depths of the water body in the experimental flume for online determination of water body environmental parameters
Implementation Method 4
online water quality index analyzer, which can be used to monitor water quality indexes in real time, where the water quality indexes include total nitrogen, ammonia nitrogen, total phosphorus, and CODCr
Implementation Method 5
a water automatic sampling device, which is connected to the experimental flume or the water return tank, and can automatically collect water samples in a single or cycle mode
Implementation Method 6
a dosing system, which is installed below the experimental flume and can be used to add experimental reagents into the experimental flume to control the pH of the water body in the experimental flume
Data Source
AI summary
Disclosed are an intelligent simulation device for bottom sediment pollution process and control as well as an experimental method. The device includes an experimental flume to which a water inlet tank and a water return tank are connected; a wave-making system, an illumination system, a dosing system and an aeration system; an environmental condition parameter online monitor capable of determining water environmental parameters online; an online water quality index analyzer for monitoring water quality indexes in real time; a water automatic sampling device for automatically collecting water samples in a single or cycle mode; an offline analyzer capable of determining water quality indexes of the collected water samples or physical-chemical indexes of sediments; and an automatic control module for automatically controlling various devices. Further disclosed is an experimental method based on the intelligent simulation device for bottom sediment pollution process and control.


