Ricoh Company, Ltd.

Xinjiang Goldwind Science & Technology Co., Ltd.

Guanglei Zhang

Jichuan Zheng

Jie Zhou

Bin Dong

Yuan Liu

Yixuan Tong

Xinping Bao

A method and device for predicting a wind turbine fault is provided. The method includes: initializing a wind turbine model of the wind turbine; updating wind turbine model parameters of the wind turbine model based on a current environment condition and current actual wind turbine state parameters of the wind turbine periodically; establishing a variation model of the wind turbine model parameter based on historical wind turbine model parameters and corresponding historical environment conditions; predicting the wind turbine model parameters at a future moment by using the variation model of the wind turbine model parameters based on a future environment condition at the future moment; establishing a wind turbine fault model based on the historical wind turbine model parameters and corresponding historical wind turbine faults; predicting the wind turbine fault at the future moment based on the predicted wind turbine model parameters and the wind turbine fault model.

Method and device for predicting wind turbine fault

User behavior analysis method and device are disclosed. The method comprises: obtaining a behavior record of users regarding commodities; acquiring, by determining a commodity feature vector in a predetermined commodity feature space of each of the commodities, a commodity feature matrix consisting of the commodity feature vectors of the commodities; for each of the users, calculating, based on a sub behavior record of the corresponding user regarding each of the commodities, a preference score of the corresponding user regarding each of the commodities, so as to get a score matrix composed of the preference scores of the users regarding the commodities; and for each of the users, determining, based on a regularized least squares based solution of a difference function of the score matrix and a prediction matrix, a user feature vector of the corresponding user in its related predetermined commodity feature space.

User behavior analysis method and device as well as non-transitory computer-readable medium

Disclosed are an intelligent illumination control method, apparatus, and system. The method includes a step of obtaining at least one image of a predetermined lighting area captured by at least one stereo camera; a step of determining, based on the at least one image, one or more target illuminance values of the predetermined lighting area; and a step of determining, based on the one or more target illuminance values, a dimming level of at least one illumination apparatus so that the at least one illumination apparatus works according to the determined dimming level.

Intelligent illumination control method, apparatus, and system

A lighting control method for use in a lighting control system is disclosed. The lighting control method includes acquiring an influence coefficient of each of lighting devices on at least one local device based on a measured amount of invisible beams and a measured amount of visible light, the influence coefficient representing an influence level of each of the lighting devices on the local device; and acquiring a dimmer level of each of visible light sources based on a corresponding one of the influence coefficients to control the amount of the visible light measured at a position of the local device such that the measured amount of the visible light reaches or approaches a target lighting amount of the local device.

Growing community of inventors

Beijing, China

Guanglei Zhang