Needle coke processing monitoring method based on big data

The invention relates to the technical field of needle coke processing, and particularly discloses a needle coke processing monitoring method based on big data, which comprises the following steps: judging a relationship between a feature vector and a plurality of contrast vector sets, selecting a target set, acquiring an optimal solution of a mixture of a current unit quantity based on the target set, and inputting the mixture into the second heating piece corresponding to the optimal solution, and controlling the communication state of the plurality of second heating pieces and the coking tower according to the total amount and the accumulated speed of the mixture in the second heating pieces. Therefore, the purpose of helping to determine the optimal process control strategy for needle coke processing is achieved. 本发明涉及针状焦加工技术领域，具体公开了一种基于大数据的针状焦加工监测方法，包括判断特征向量与多个对照向量集合的关系并选择目标集合，基于目标集合获取当前单位量的混合料的最优解，并将混合料输入最优解对应的第二加热件内和依据第二加热件内混合料的总量和累加速度控制多个第二加热件中与焦化塔的连通状态，本发明通过多维化的温度数据，更加精准的对混合料的状态进行数据化表示，从而实现帮助确定针状焦加工的