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Sewage treatment process parameter long window prediction method

A process parameter and sewage treatment technology, applied in the field of sewage treatment, can solve problems such as difficulty in establishing an accurate mathematical model, early identification of sewage purification capacity of water treatment equipment, strong time-varying external interference, etc., and achieve the effect of improving efficiency

Pending Publication Date: 2022-05-27
南京天洑软件有限公司
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Problems solved by technology

However, due to the hysteresis of the measurement system and the harsh working environment in the sewage treatment process, it is difficult for the water treatment equipment and measuring instruments to operate stably and normally in this environment. Predict the parameters of the link in advance, so as to identify changes in the sewage purification capacity of water treatment equipment in advance
[0004] The difficulty in predicting sewage treatment parameters is that the sewage treatment process is a complex dynamic biochemical process with strong external interference, strong time-varying, strong coupling, and nonlinearity. It is difficult to establish an accurate mathematical model for it. The treatment process is not very practical, resulting in low prediction accuracy, making it difficult for staff to formulate reasonable cleaning and maintenance plans for water treatment equipment, and low efficiency of sewage treatment

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Embodiment 1

[0042] refer to Figure 1-3 , which is an embodiment of the present invention, provides a long-window prediction method for parameters of a sewage treatment process, including:

[0043] S1: Collect predictor variable data and feature parameter data, and construct a data set based on the predictor variable data and feature parameter data.

[0044] The predictors and their related feature parameters are selected based on the data set, and multiple long-window prediction data sets are constructed by the sliding window method.

[0045] Using the method of data dimensionality reduction, the data in the high-dimensional space is projected to the low-dimensional space through a certain mapping function, and the dimension of the feature subset is reduced to obtain a new feature set{F 1 ,F 2 ...F p }, where p is the number of features in the feature set.

[0046] The process quantity parameter x that needs to be predicted in the water treatment system and the characteristic paramet...

Embodiment 2

[0093] refer to Figure 4-7 , is another embodiment of the present invention, which is different from the first embodiment in that it provides a long-window prediction method for parameters of a sewage treatment process. The traditional technical solution and the method of the present invention are used for comparative testing, and the test results are compared by means of scientific demonstration to verify the real effect of the method.

[0094] Based on different long-window forecasting datasets and data modeling schemes, long-term time series forecasts for water treatment process parameters are carried out. The whole prediction work mainly includes the following four parts.

[0095] 1) Choose predictors and feature parameters and construct the dataset:

[0096] The predictors were derived from three types of water treatment process equipment, multimedia filters, ultrafiltration units, and reverse osmosis units, including 32 parameters such as inlet flow, differential pres...

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Abstract

The invention discloses a sewage treatment process parameter long window prediction method, which comprises the following steps of: acquiring predictive variable data and characteristic parameter data, and constructing a data set based on the predictive variable data and the characteristic parameter data; establishing more than one parameter prediction model, respectively inputting the data sets for prediction, and calculating prediction results of prediction variables under different data sets and modeling schemes; using R2 and MAPE indexes to evaluate prediction results obtained by different parameter prediction models; and selecting a parameter prediction model with the highest prediction precision from the prediction result to obtain prediction data. According to the method, multiple sets of modeling processes are used for predicting multiple types of prediction variables, accurate prediction of multiple types of parameters in the water treatment process is achieved, a worker can make a reasonable water treatment equipment cleaning and maintenance plan, various conditions in parameter prediction in the water treatment process are flexibly treated, and the sewage treatment efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of sewage treatment, in particular to a long-window prediction method for parameters of a sewage treatment process. Background technique [0002] Sewage treatment is a process of purifying sewage through a series of biochemical processes, so that sewage can meet the water quality requirements for discharge into a water body or reuse. It has a wide range of applications in various fields. Sewage treatment is an indispensable link to realize the reuse and recycling of water resources, and plays a very important role in saving water resources and maintaining the sustainable development of water resources. [0003] However, the sewage treatment process not only involves a series of complex physical and chemical processes, but also requires the cooperation of multiple mechanized equipment, electronic equipment and measuring instruments, which is a complex industrial system. At the same time, in order to ensure ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06K9/62
CPCG06Q10/04G06Q10/06393G06Q50/26G06F18/211G06F18/213G06F18/214Y02W10/10
Inventor 张明张儒谢新民孙自飞甘雨
Owner 南京天洑软件有限公司
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