Research On The Intelligent Information Process Technique In Air Quality Evaluation

The gathering data of the environment air quality monitoring system is very enormous. Aiming at the magnanimous data, how to carry through air quality evaluation became a question which we must to face. The paper used the data mining and the data fusion technology to apply in data analysis, established the air quality evaluation model, and then carried on the air quality evaluation effectively.At present, the majority environmental monitoring stations have adapt computer distribution control system (DCS), field-bus control system (FCS), the information was interconnected to own interior station and even to internal monitor information system of craft brothers through intranet and extranet. On the base of environment air monitoring and supervisory system, the gathering information was simplified, and the information process model for air quality evaluation system was established. The model can realize transformation from the data to the intelligent behavior.Based on rough set method, the information was pretreatment, weightiness analysis of different attributes in the knowledge expression were completed, and we carried on simplification of the knowledge representation space, then put the simplified system characteristic parameters as inputs to the neural network, established a intelligent information process model for air quality evaluation, carried on the study of the smallest evaluation factors of the air quality evaluation. Through the combination of rough set and neural network, the way improved the information process system which has better fault-tolerant and anti-jamming ability. It provides a powerful way for process magnanimous indefinite and incomplete data.The neural network was optimized based on the genetic-ant (GAAA) algorithm. The way enhanced the network to approach the precision, conquered the disadvantages of the information process model for air quality evaluation, then reduced computing quantity and made the information process system for air quality evaluation to conform reality. Through the simulating experiment, the experiment result indicated that the intelligent information process technology which was put forward has intelligent, expansibility and retractility than other exist information process technologies. The evaluation result is impersonality and precise. The method not only may carry on the air quality evaluation scientific, but also may put in the water quality synthetic evaluation and so on, and may carry on the air quality evaluation graduation through four factors, moreover may complete the air quality synthetic evaluation deal with mult-evaluatioin factors, without the limit of contamination sorts and amounts.