Optimum input forecast system of water treatment coagulant and forecast method

Abstract

The invention discloses an optimum input forecast system of a water treatment coagulant, which comprises a data collecting and monitoring system, a data center and a main control computer. The forecast method comprises the steps of: reading the monitoring data in a database which is served as input data; substituting the input data into a nondeterminacy water quality model to forecast the probability distribution of the effluent turbidity of a coagulation-precipitation process; and determining the optimum input value range of the coagulant when process effluent meets the water quality target based on the forecast result by the effluent turbidity of the ''coagulation-precipitation'' process and determining the input of the coagulant in the process operation in combination with the actual effluent turbidity. Compared with the prior art, the invention can rapidly and accurately forecast the value range of the optimum input of the coagulant under the condition that raw water quality of a water plant changes, and manage associated data of operation condition of ''coagulation-precipitation'' process of the water plant effectively so as to ensure the stable operation of the water plant.

Description

technical field [0001] The invention relates to the measurement technology of the water treatment system, in particular to the prediction of the optimal dosage of the coagulant in the urban water treatment coagulation sedimentation process. Background technique [0002] In urban water treatment, "coagulation-sedimentation" is an important conventional treatment process. In the case of constant changes in raw water quality, water plants need to control the amount of coagulant used to reduce costs while ensuring continuous and stable control of the turbidity of discharged water. The optimal dosage of coagulant refers to the minimum dosage of coagulant for the water plant to achieve the established water quality target. In actual production practice, the water plant mainly determines the optimal dosage of coagulant through beaker test and previous production experience. However, because these methods are greatly affected by human factors, different monitoring personnel may ha...

AI Technical Summary

Problems solved by technology

However, because these methods are greatly affected by human factors, different monitoring personnel may have different judgment standards

Flocculation control instruments with other mechanisms also have shortcomings such as immature technology and imperfect hardware facilities.

All of these have led to problems such as unstable turbidity of the effluent from the water plant and large differences in water treatment costs.

In actual production, there is a lack of an effective coagulant dosage prediction system, and there are few examples of successful application in actual production

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