A diaphragm detection method, comprising: acquiring a target image of an electrode plate to be detected, wherein the electrode plate to be detected comprises an anode electrode plate and diaphragms (20, 30) respectively stacked on both sides of the anode electrode plate; performing image processing on the target image to determine a target image region in the target image; and performing diaphragm misalignment detection on the electrode plate to be detected based on the target image region; characterized in that the performing diaphragm misalignment detection on the electrode plate to be detected based on the target image region comprises: acquiring a number of diaphragm image sub-regions in the target image region; determining a diaphragm misalignment result of the electrode plate to be detected based on the number of diaphragm image sub-regions in the target image region, wherein the diaphragm misalignment result is configured to indicate whether the diaphragms of the electrode plate to be detected are misaligned; wherein the acquiring a number of diaphragm image sub-regions in the target image region comprises: performing grayscale image segmentation processing on the target image region to obtain a number N of diaphragm image sub-regions with different grayscales, where N is a positive integer, wherein N is the number of diaphragm image sub-regions in the target image. acquiring a target image of an electrode plate to be detected, wherein the electrode plate to be detected comprises an anode electrode plate and diaphragms (20, 30) respectively stacked on both sides of the anode electrode plate; performing image processing on the target image to determine a target image region in the target image; and performing diaphragm misalignment detection on the electrode plate to be detected based on the target image region; characterized in that the performing diaphragm misalignment detection on the electrode plate to be detected based on the target image region comprises: acquiring a number of diaphragm image sub-regions in the target image region; determining a diaphragm misalignment result of the electrode plate to be detected based on the number of diaphragm image sub-regions in the target image region, wherein the diaphragm misalignment result is configured to indicate whether the diaphragms of the electrode plate to be detected are misaligned; wherein the acquiring a number of diaphragm image sub-regions in the target image region comprises: performing grayscale image segmentation processing on the target image region to obtain a number N of diaphragm image sub-regions with different grayscales, where N is a positive integer, wherein N is the number of diaphragm image sub-regions in the target image. acquiring a number of diaphragm image sub-regions in the target image region; determining a diaphragm misalignment result of the electrode plate to be detected based on the number of diaphragm image sub-regions in the target image region, wherein the diaphragm misalignment result is configured to indicate whether the diaphragms of the electrode plate to be detected are misaligned; wherein the acquiring a number of diaphragm image sub-regions in the target image region comprises: performing grayscale image segmentation processing on the target image region to obtain a number N of diaphragm image sub-regions with different grayscales, where N is a positive integer, wherein N is the number of diaphragm image sub-regions in the target image. performing grayscale image segmentation processing on the target image region to obtain a number N of diaphragm image sub-regions with different grayscales, where N is a positive integer, wherein N is the number of diaphragm image sub-regions in the target image.