| China has a vast territory,and the water quality and water source conditions in each region have their own characteristics.Water treatment plants in different regions often face the same increase in water pollution in the face of different water pollution.At the same time,every aspect of drinking water treatment is responsible for water quality problems.Each link can only solve some water quality problems.Each water quality problem cannot be solved by a single link.Therefore,there is a need for an auxiliary decision-making system that can derive one or several sets of solutions for designers or leaders to make reference decisions based on a specific water source condition and related requirements,thereby considering the relationship between the various water treatment units as a whole,and strive to achieve economic and technological optimization as a whole.This article relies on the topic of“Multiple-level Barrier Technology Integration and System Optimization of Drinking Water Safety”in the“Water Pollution and Governance Science and Technology Major Project”.The scientific evaluation of the selected drinking water technology was carried out,and an expert assistant decision-making system was designed to give a prediction of the recommended process,treatment effect and economic cost according to the water quality of the water source.First,a drinking water technology assessment indicator system was established.Through the investigation and analysis of the actual operation situation,the framework of the hierarchical index system was initially established,and based on the advanced nature,efficiency and application potential of the technology,considering the actual operation of the water plant,the following indicators were formulated in accordance with the principle of quantitative quantification of indicators.System:total target layer—technical advancement,efficiency,application potential;target layer—innovation,improvement in response capability,operational improvement,sustainability,reliability,economy;factor layer—SCI papers,invention patents,personnel,equipment,regulations,water quality improvement,unfavorable condition parameter level,update iteration speed,detection accuracy,drug safety,equipment stability.At the same time,the application scope,innovation points and technical achievements of 175 drinking water treatment technologies were screened.Secondly,according to the relevant principles of AHP,the multi-objective comprehensive evaluation process is established,and the MATLAB program is compiled for calculation.After determining the weight of the comprehensive index,the experts are asked to score according to the score recommendation,and the scores of the experts are collected and calculated to form a technical expert score sheet.The applicable water quality conditions,treatment effects,and technical economic cost information of the technical expert score sheet are entered into the technical data package together with the technical score,which is convenient for the user to query and the call of the expert assisted decision system.Finally,the design and verification of expert decision-making systems.The expert assistant decision-making system was designed according to the basic unit of water treatment process and economic considerations.When verifying the demonstration project in the Jinshugang area of Taihu Lake,the representative water quality information is selected as the input value of the expert assistant decision-making system.The recommended set of processes given by the expert-assisted decision-making system is consistent with the demonstration engineering process,and the predicted water quality of the process is given:turbidity 0.070.20 NTU,chroma 34,Permanganate index1.021.16 mg/L,NH3-N 0.030.09mg/L.The average measured water quality after the demonstration project of Baiyangwan Water Plant was turbidity 0.15 NTU,chroma<5,Permanganate index 1.25mg/L,NH3-N 0.02mg/L,which proved the reliability of expert assistant decision-making system. |
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