Xiaomi Inc.

Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd.

Beijing Xiaomi Mobile Software Co., Ltd.

Boe Technology Group Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Baidu Online Network Technology (Beijing) Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Xinjiang Goldwind Science & Technology Co., Ltd.

Beijing Superhexa Century Technology Co. Ltd.

Beijing Smartmi Technology Co., Ltd.

Goldwind Science & Technology Co., Ltd.

Pengfei Zhang

Yongfeng Xia

Yidong Wang

Tiejun Liu

Heng Qu

Yong Chen

Guilin Zhou

Minghui Wang

Xingsheng Lin

Cheng Fang

Xu Zhang

Jun Su

Xiao Lin Zhang

Zheng Li

Yu Wang

Bo Yu

Ke Wu

Huayijun Liu

Zhenzhong Zhang

Jun Guo

Bing Xu

Liang Cheng

Wei Cai

Chuan Wang

Zhijie Li

Jialin Fan

Yu Guo

Mengting Yu

Ge Ou

Hongxiang Shen

Chuan Peng

Chuqian Zhong

Chao Ji

Diyun Xiang

Hualin Ye

Fangcheng Pang

Jianhua Wu

Zhenyu Yang

Shoujing Zhu

Weiyang Chen

Zecheng Zhuo

Wenbo Liu

Jingang Yan

Boran Jiang

Shuqi Wei

Bixi Wang

Xiaofang Huang

Weixin Kang

Yudong Jiang

Shipei Zhao

Yuxia Mi

Huili Su

Provided are a vehicle scheduling method, an electronic equipment and a storage medium, relating to the technical field of artificial intelligence, in particular to, the fields of Internet of Things, autonomous parking, automatic driving and the like. The vehicle scheduling method includes: reporting, by a first vehicle, based on a first broadcast channel, a first vehicle state; receiving, by the first vehicle, a second vehicle state reported by a second vehicle based on the first broadcast channel, the second vehicle being a vehicle other than the first vehicle in the same parking lot; and obtaining, by the first vehicle, a scheduling decision result for avoidance between the first vehicle and the second vehicle, according to the first vehicle state and the second vehicle state.

Vehicle scheduling method, electronic equipment and storage medium

The present disclosure relates to a method for training a natural language processing model, including: obtaining a sample text of natural language; determining one or more triples in the sample text, wherein each of the triples comprises two entities in the sample text and a relation between the two entities; processing the sample text based on the triples to obtain one or more knowledge fusion vectors; and training a natural language processing model by inputting the knowledge fusion vectors into the natural language processing model to obtain a target model.

Method, apparatus and storage medium for training natural language processing model

The present disclosure provides a method and an apparatus for controlling power of a wind farm. The method includes: acquiring a historical equivalent fatigue load of a target component of each of a plurality of wind turbines; acquiring an entire fatigue load, an equivalent fatigue load of the target component and a pay per unit power generation of each of the plurality of wind turbines at a current moment; determining an optimal power value for at least one of the wind turbines according to the historical equivalent fatigue load, as well as the entire fatigue load, the equivalent fatigue load, and the pay per unit power generation; and adjusting a power value of the at least one of the wind turbines to the optimal power value for the wind turbine.

Method and apparatus for controlling power of wind farm

A load control method and a load control apparatus for a wind turbine generator system are provided, and the load control method includes: obtaining feature parameters of the wind turbine generator system for load prediction; obtaining a load estimation value of the wind turbine generator system by inputting the obtained feature parameters into a virtual load sensor; adjusting a control strategy of the wind turbine generator system based on the obtained load estimation value. A controller and a computer readable storage medium storing a computer program are further included. With the load control method and apparatus for the wind turbine generator system, a trained virtual load sensor can be used to realize real-time monitoring of the load of the on-site wind turbine generator system, and a reference for adjusting the control strategy can be provided according to the load.

Load control method and apparatus for wind turbine generator system

The present disclosure provides a method and an apparatus for controlling video recording. The method is applied to a head-wearable device provided with a camera and a touch-control area, including: starting video recording in response to a multi-touch operation on the touch-control area; adjusting, in a process of the video recording, a zoom ratio for the video recording according to a moving track of a touch point corresponding to the multi-touch operation; terminating the video recording when it is determined that a recording termination condition is met, where the recording termination condition includes that the multi-touch operation disappears and a duration of the disappearing reaches a first preset duration. In the technical solution of the present disclosure, a series of operation of quickly starting video recording, zooming during recording, and terminating video recording can be completed through simple multi-touch operations, improving the efficiency of interactive operations and the user experience.

Method and apparatus for controlling video recording

A power control method and apparatus for a wind power generator. The power control method comprises: predicting, according to historical wind resource data, wind resource data within a predetermined future time period (S); estimating, according to the remaining design lifetime of a wind power generator, the maximum design lifetime allowed to be consumed within the predetermined future time period (S); determining, according to the predicted wind resource data and the estimated maximum design lifetime, optimal output powers of the wind power generator in respective wind velocity ranges within the predetermined future time period (S); and controlling operation of the wind power generator according to the determined optimal output powers of the wind power generator in the respective wind velocity ranges within the predetermined future time period (S).

Power control method and apparatus for wind power generator

The present disclosure provides a method and an apparatus for self-adaption of a cut-out strategy. The method may include: predicting, using a wind speed prediction model, a wind resource parameter of a wind turbine at each machine location; predicting, using a load prediction model, a fatigue load and a limit load of the wind turbine based on the predicted wind resource parameter and an air density; comparing the predicted fatigue load and limit load with a reference load; and determining the cut-out strategy based on a result of the comparison, wherein determining the cut-out strategy includes determining a cut-out wind speed and an output power.

Method and apparatus for self-adaption of a cut-out strategy

A method and a system for controlling a wind turbine based on sectors. Original sectors of the wind turbine are reconstructed based on a wind resource parameter and a wake-flow effect. A load is calculated and superposed for a new sector obtained from the sector reconstruction. An optimization algorithm is applied, under a condition that a constraint condition of a fatigue load is met, to find an operation parameter for maximum power generation amount of the wind turbine.

Method and system for controlling wind turbine based on sectors

Provided is a terminal device. The terminal device includes: a housing; a display screen installed on the housing; a piezoelectric body parallel to the display screen and including a fixed end and a free end, the fixed end being fixed on the housing, and the free end being opposite to the fixed end and being configured to vibrate under driving of an audio signal; and a vibrating body arranged between the display screen and the piezoelectric body, fixedly connected with the free end, and configured to vibrate in a direction perpendicular to the display screen with the vibration of the free end.

Terminal device

A method for information processing includes receiving an operation request from a wearable device; determining an operation, requested by the operation request, to be executed on the electronic device; and executing the operation on the electronic device.

Method for information processing and electronic device

A flight control method includes: determining a positional relationship between an aircraft and a control device; determining a polar coordinate system with the control device as an origin according to the positional relationship; receiving a flight direction control instruction sent by the control device, the flight direction control instruction being generated on the basis of the polar coordinate system; and driving, according to coordinate information about the aircraft in the polar coordinate system, the aircraft to fly in accordance with the flight direction control instruction.

Flight control method and apparatus

The present disclosure relates to a method for acquiring user information in a terminal device for acquiring user information and a terminal device thereof, and a method for acquiring user information in a server and a server thereof. The method includes: receiving acquisition information uploaded by a first wearable device bound. Herein the acquisition information comprises an identifier for identifying a second wearable device detected by the first wearable device; uploading the acquisition information to a server; receiving the user information pushed by the server. Herein the user information is obtained by the server according to the identifier and is associated with the acquisition information; and performing a processing operation according to the user information.

Methods and devices for acquiring user information

A message withdrawal method, apparatus and a storage medium are disclosed. The method includes receiving a message withdrawal instruction, where the message withdrawal instruction at least includes a message identifier of a target message to be withdrawn, determining a storage path of a target network resource according to a mapping relation between a storage location of a downloaded network resource and the message identifier, deleting the target message using the message identifier, and deleting the target network resource at the storage path of the target network resource.

Message withdrawal method, apparatus and storage medium

A method and an apparatus are provided for controlling a smart home device. In the method, the apparatus acquires a target state of the smart home device, where the target state is a state determined according to visitor information within a predetermined range. The smart home device performs an operation corresponding to the target state. The smart home device flexibly performs different operations according to the actual visit situation so that working efficiency is improved. Especially when there are a large number of visitors within the predetermined range, the smart home device may automatically enter an unconventional working state, such that inconvenience caused by movement and noise to the visitors may be prevented, thereby improving overall performance of the smart home device.

Method and apparatus for controlling smart home device

A device management method for use in a primary router, includes: establishing a management connection with a relay router; acquiring a management interface identifier from the relay router via the management connection, the management interface identifier being an identifier of an Application Programming Interface (API) in the relay router for providing a management function; and transmitting a management instruction to the relay router via the management connection, the management instruction carrying the management interface identifier and being configured to manage an electronic device connected to the relay router.

Methods, apparatuses, and system for device management

Growing community of inventors

Beijing, China

Pengfei Zhang