The application relates to the computer technical field, in particular to a network quality identification method and device, equipment and storage medium, the method comprises the following steps: acquiring network index data of a first time period; inputting the network index data of the first time period into a first model to obtain a network quality identification result output by the first model, wherein the network quality identification result is used for representing network quality conditions of the first time period; if the network quality of the first time period is abnormal, the network quality identification result is also used for determining an application type in which network quality
abnormality is likely to occur.