| Fouling widespread exists in the various heat transfer process, it causes a great damage to the security of heat transmission equipment and economic operation. The majority of the fouling problems are caused by the poor quality of cooling water. Therefore with the development of cooling water anti-scaling countermeasures and equipment emerging, one objective science fouling countermeasure assessment method as well as the real-time online monitoring facilities is urgently needed to standard the water treatment market and to develop the water treatment technology to the scientific and effective direction which is of clean energy and automation of high degree.This article selects the evaluating indicators which the fouling countermeasure rank appraisal law need, and establishes evaluating model of each indicator separately, in view of the impossible entire independence of these indicators, the monitored data of different indicators has the remarkable relevance. Therefore optimize the evaluating indicators on the basis of correlation coefficient research. This article finally determines the thermal resistance, the flow resistance (differential pressure), anti- filthy rate and the clean coefficient (average logarithm temperature difference) as the evaluating indicators. In order to evaluate the various fouling countermeasure effect, obtain each evaluating indicator evaluation criteria using Hierarchical Clustering Method cluster law and synthesizing individual analysis.In view of the fouling countermeasure evaluating indicators' evaluation criteria, the paper uses the Probability neural network to classify the monitor data, and forms the classified effect chart. Simultaneously introduces the entropy power law and the CRITIC law, and apply them to the weight determination and weight contrast of each evaluating indicator, and this can provide objectively support on various fouling countermeasure. The paper adapts the request of fouling growth characteristic, and proposes the author's viewpoint and method on the following aspects, such as indicators system's establishment, determination of the indicators weight and fouling countermeasure quality synthetic evaluation model's establishment, and so on.There is the date from the re-circulated cooling water fouling countermeasure performance evaluation laboratory to apply the fouling countermeasure evaluating indicator model and the multi-objective synthesis rank assessment method introduced above to evaluate the anti-filthy effect of Anti-sludging agents. The evaluation result indicates that this method has the very good serviceability and the feasibility. |
