KEYWORDS: Transformers, Temperature metrology, Temperature control, Process control, Mathematical modeling, Air temperature, Control systems, Mathematical optimization, Coating
With the increasing demand for power supply, it is particularly important to control the indoor temperature of substations in summer. In this paper, the temperature in the transformer room is studied: firstly, the transfer function of the transformer room ambient temperature is given, in which the influence of the transformer heat loss on the output variation is fully considered. Secondly, the model prediction method is used to control the input and output changes of the mathematical model. In order to achieve the control objectives, the constraint conditions of the variables are given in the control process. Finally, the experiment shows that the model predictive control method can control the output variation in a small range, which proves the effectiveness and accuracy of the model predictive control method for transformer room temperature.
Aiming at the problem of untimely fire prevention and control due to missed and false alarms in the traditional fire early warning system of substations, an intelligent fire classification and early warning algorithm based on multi-sensor information fusion is proposed in this paper. Different from the fire warning with a single sensor, firstly, the algorithm proposed in this paper combines the temperature, CO concentration and smoke sensors to build a multi-sensing fusion layer of the fire detection model, which improves the detection sensitivity to a certain extent. Then, the algorithm uses support vector machine (SVM) to classify and warn fires based on the feature information collected by the multi-sensor fusion layer. Finally, the experimental verification is carried out based on the national standard test fire dataset. The experimental results show that the proposed model can effectively and accurately classify and predict the occurrence of fire, and improve the accuracy of fire early warning decision-making to a certain extent.
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