4results about How to "Reliable determination" patented technology

The present disclosure relates to a fan fault detection method, device, medium and equipment. The method comprises: acquiring current working condition data of the fan; determining whether the fan has a fault according to the acquired current working condition data, predetermined normal working condition data, a principal component analysis (PCA) algorithm, a Gaussian mixture clustering (GMM) algorithm and a kernel density estimation (KDE) algorithm. In this way, it can be accurately and reliably determined whether the fan has a fault, and the false alarm rate is reduced.

This invention provides a method and system for intelligent identification of pollution sources using quantum radar. The method includes achieving precise positioning through preprocessing of photonic quantum data frames, construction of a multi-dimensional feature space, and iterative window optimization. Abnormal signals are filtered based on a quantum background noise Poisson statistical model to generate a preprocessed data frame. A quantum feature space is constructed by fusing photon wavelength, polarization state, and arrival time to generate a back-projected probability distribution map. A composite displacement vector is constructed to update window parameters by calculating the first, second, and third central moments and spatial gradient of the probability distribution within the window. When the magnitude of the displacement vector is less than the convergence threshold, the location, diffusion range, and direction of the pollution source are output.

The invention relates to the technical field of seepage monitoring, in particular to a highway high slope seepage monitoring method and device. Temperature measuring optical fibers are laid along surface water at different heights of the high slope, osmotic pressure monitoring points are arranged, and the temperature value of a window at each position of each optical fiber and the osmotic pressure value of each monitoring point are obtained at each moment; highway high slope underground seepage mainly originates from sudden shallow water such as rainwater, the temperature change is closely related to seepage, and the seepage point location can be determined by analyzing the temperature value change difference of the optical fiber position window at different moments; a seepage area is reasonably determined between the adjacent temperature measuring optical fibers according to the position relation between the seepage point position and the seepage pressure monitoring point and the seepage pressure value; furthermore, due to the fact that seepage is a dynamic change process and is influenced by various factors, the change of the area position of the seepage region among all the temperature measurement optical fibers at different moments and the change characteristics of the seepage pressure value are compared, the high slope landslide risk value at the current moment is determined accordingly, and the stability of the high slope landslide risk value can be evaluated more accurately.