What are the application scope and implementation conditions of water balance intelligent control?

Mondo Technology Updated on 2024-01-28

Application range of intelligent control of water balance

Intelligent control of water balance is mainly used in the process section of the water intake pump room and the clear water pool of the water purification plant.

Intelligent control of water balance can automatically control the start, stop and adjustment of the water intake pump by monitoring parameters such as water level, water pressure and water intake in real time. Through intelligent control, the efficient operation of the pump can be realized, ensuring the stability of the water intake process and reducing the risk of energy consumption and equipment damage. At the same time, the precise control and adjustment of the water level of the clear water pool prevents the overflow or excessive emptying of the clear water pool and ensures the stability and safety of the clean water purification.

The goal of intelligent control of water balance

The goal of intelligent water balance control is to optimize the stability of the system, energy efficiency, water quality stability and fault warning.

Through the inlet water volume, the effluent volume and the water loss of the water purification plant, combined with the volume of the clear water pool, the inlet flow required to maintain the high water level of the clear water pool is analyzed to the maximum extent, and combined with the consideration of equipment loss and pipeline safety, the inlet flow transition is smooth and the water intake burst operation is stable.

System stability, which aims to achieve a balance between the water source, the pool and the pump, etc., to ensure the stability of the system operation and prevent the water level from being too high or too low.

Energy efficiency, adjust the flow rate and speed of the pump according to real-time demand, reduce unnecessary energy consumption, improve energy utilization efficiency, and reduce operating costs.

Water quality stability, reasonable control of the water intake of the water source and the operation status of the pump, can avoid the risk of water quality fluctuations and pollution, and provide stable clean water**.

Conditions under which water balance control is implemented

The implementation of intelligent water balance control must meet the needs of equipment and sensor installation, data acquisition and communication system establishment, control algorithm and logic development, control system and interface construction, operation and maintenance personnel training, as well as compliance and safety requirements.

What to expect:

The inlet and outlet pipes of the water purification plant are equipped with corresponding flowmeters

The clear water pool is equipped with a corresponding ** liquid level gauge to continuously and accurately monitor the operating parameters of the clear water tank.

It involves the accumulation of self-water in the plant area (production wastewater discharge, reuse water and plant chemical dissolution, structure washing, domestic water consumption, etc.).

Algorithm for intelligent control of water balance

1.The multi-objective decision-making algorithm controls the balance of the inlet and outflow of the water intake and water production system by means of water quantity tracking as the dominant and water level adjustment as the supplement. The water quantity tracking is the tracking of the inlet water volume, the water output volume and the self-water consumption of the water production systemWater level adjustment is to convert the difference between the actual water level and the target water level, combined with the size of the volume of the clear water pool, into water volume interpolation.

2.The PID control algorithm adjusts the output of the controller according to the error size and rate of change, and uses the PID algorithm to control and adjust the flow and pressure parameters of the pump in the intelligent control of water balance.

3.Fuzzy control algorithms deal with fuzzy or indeterminate input and output relationships through fuzzy logic and fuzzy reasoning. Handle complex system dynamics and nonlinear relationships to achieve intelligent control of pumps.

Related Pages