PaAno+ introduces a lightweight model that uses multiscale convolution and cross-variable attention to improve time series anomaly detection. It achieves state-of-the-art accuracy on both univariate and multivariate tasks, with superior performance in VUS-PR and other metrics, while maintaining efficient computation for real-time deployment on resource-limited devices.