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在冶金过程中,冶金粉尘对环境的污染较为严重。利用传统算法进行冶金粉尘污染检测,如果冶金粉尘存储空间中空气流动性比较强,则冶金粉尘会发生扩散,造成冶金粉尘浓度降低,从而导致冶金粉尘污染漏检现象的出现。为了避免上述缺陷,提出了一种基于无线传感网络的冶金粉尘污染检测方法。组建冶金粉尘无线传感网络,探测冶金粉尘污染信号,对获取的信号进行增强处理,为污染检测提供数据基础,利用支持向量机方法完成冶金粉尘污染检测。实验结果表明,这种算法能够有效提高冶金粉尘污染检测的准确性。
In the metallurgical process, metallurgical dust pollution on the environment is more serious. Metallurgical dust pollution detection using traditional algorithms, metallurgical dust storage space if the air mobility is strong, the metallurgical dust will spread, resulting in reduced metallurgical dust concentration, resulting in metallurgical dust pollution missed the phenomenon. In order to avoid the above defects, a method of detecting metallurgical dust pollution based on wireless sensor network is proposed. Metallurgical dust wireless sensor network is set up to detect metallurgical dust pollution signals. The acquired signals are enhanced to provide a data basis for pollution detection. Metallurgical dust pollution detection is completed by the support vector machine method. Experimental results show that this algorithm can effectively improve the accuracy of metallurgical dust pollution detection.