Abstract: A mechanism is provided for forecasting air pollution. One or more air-pollution monitoring stations correlated to a forecasting point from a plurality of air-pollution monitoring stations are identified. For the one or more air-pollution monitoring stations that correlate to the forecasting point, one or more patterns of the forecasting point, historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point are identified. Based on the one or more patterns of the forecasting point, the historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and the one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point, a pollution forecast is provided.

Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

Abstract: The present invention discloses a calibration method for parallel multi-channel wireless channel measurement and a calibration system thereof. The transmitting end and the receiving end are disconnected, and are respectively connected to the calibration receiving channel and the calibration transmitting channel, and the calibration receiving channel/calibration transmitting channel cooperates with a measurement channel in air interface measurement, to calibrate a channel response characteristic of the transmitting end and the receiving end. By means of the present invention, a current channel response characteristic between multiple channels can be online supervised in real time, so as to ensure that a measurement error because of an impact of mutual interference between multiple channels can be avoided in the channel measurement process.

Abstract: A method and a device for predicting insulator pollution grade includes acquiring prediction data affecting the insulator pollution grade; acquiring current pollution status of the insulator; predicting the insulator pollution grade based on the prediction data, the current pollution status and an insulator pollution grade calculating model, wherein the insulator pollution grade calculating model at least comprises an initial pollution status variable of the insulator, and a pollutant accumulation prediction and a pollutant reduction prediction based on the initial pollution status variable, at least one of the accumulation prediction and the reduction prediction being associated with the prediction data, and the initial pollution status variable being associated with the current pollution status.

Abstract: The present invention discloses a network optimization method for a large-scale MIMO network and a base station thereof. The base station enables, according to a user minimum SINR threshold of each user in a preset cell, instantaneous spectral efficiency of the cell at a specific moment to approximate or reach a maximum value. In the present invention, a newly added user minimum SINR threshold parameter is configured, and a characteristic of a concave function is used, so that average spectral efficiency and edge spectral efficiency of each cell are simply and effectively controlled, so as to achieve an objective of coordination adjustment of network capacity and network coverage.

Abstract: The present invention discloses an adaptive parameter adjustment method for a hybrid precoding millimeter-wave transmission system. The method includes the following step: interacting between a transmitter and a receiver for a number of radio frequency chains that need to be established. The receiver calculates, according to a received signal power at the time of established a different number of radio frequency chains and a total power consumption at the time of established the different number of radio frequency chains, the number of the radio frequency chains that need to be established. According to the present invention, under a condition of balancing power consumption and a rate, a number of radio frequency chains that need to be established is adaptively selected, so as to optimally configure power consumption and a transmission rate in a millimeter-wave transmission system.

Abstract: The present invention discloses a computing capability description method for fog computing and a computing capability interaction method for fog computing, and further discloses a node device for fog computing. In the present invention, key parameters affecting a computing capability are further explored, and therefore, a computing capability of a node can be described more accurately. After these key parameters are obtained, a computing type and a scale of data that are suitable for being processed by the node can be better determined, and a delay and costs that are needed by the node to execute a computing task can be better pre-estimated, so as to further assist in computing task allocation between nodes.

Abstract: The present invention proposes a lightning forecast method, comprising: identifying a Targeted Weather of SDA carrier (TWLC) based on radar reflectivity data; forecasting a future TWLC state based on the identified TWLC; building or updating an SDA model based on SDA observation data and detected TWLC state-related data; and calculating the probability of producing SDA in the forecasted future TWLC according to the SDA model.

Abstract: The present invention proposes a lightning forecast method, comprising: identifying a Targeted Weather of SDA carrier (TWLC) based on radar reflectivity data; forecasting a future TWLC state based on the identified TWLC; building or updating an SDA model based on SDA observation data and detected TWLC state-related data; and calculating the probability of producing SDA in the forecasted future TWLC according to the SDA model.

Abstract: The present invention discloses a cell clustering method, used to classify multiple small cells into N clusters and including the following steps: based on throughputs, respectively placing N small cells having a largest interference with each other into the N clusters to initialize the clusters; and based on the throughputs, separately adding a small cell having a smallest interference with the clusters into the clusters, and repeating the step until all the small cells are allocated into the clusters. The present invention further discloses a spectrum overlapping multiplexing method based on the cell clustering method. According to the present invention, the cell system average spectral efficiency and the cell edge spectral efficiency in an ultra dense network can be improved.

Abstract: A method and apparatus for forecasting output power of wind turbine in a wind farm. The present invention provides a method for forecasting output power of a wind turbine in a wind farm, including: generating a corrected data set based on environmental data collected from at least one sensor in the wind farm; correcting a weather forecasting model by using the corrected data set; obtaining a forecast value of wind information at the wind turbine based on the corrected weather forecasting model; and forecasting the output power of the wind turbine based on the forecast value and a power forecasting model.

Abstract: The present invention discloses a network optimization method for a large-scale MIMO network and a base station thereof. The base station enables, according to a user minimum SINR threshold of each user in a preset cell, instantaneous spectral efficiency of the cell at a specific moment to approximate or reach a maximum value. In the present invention, a newly added user minimum SINR threshold parameter is configured, and a characteristic of a concave function is used, so that average spectral efficiency and edge spectral efficiency of each cell are simply and effectively controlled, so as to achieve an objective of coordination adjustment of network capacity and network coverage.

Abstract: The present invention discloses a calibration method for parallel multi-channel wireless channel measurement and a calibration system thereof. The transmitting end and the receiving end are disconnected, and are respectively connected to the calibration receiving channel and the calibration transmitting channel, and the calibration receiving channel/calibration transmitting channel cooperates with a measurement channel in air interface measurement, to calibrate a channel response characteristic of the transmitting end and the receiving end. By means of the present invention, a current channel response characteristic between multiple channels can be online supervised in real time, so as to ensure that a measurement error because of an impact of mutual interference between multiple channels can be avoided in the channel measurement process.

Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

Abstract: The present invention discloses an adaptive parameter adjustment method for a hybrid precoding millimeter-wave transmission system. The method includes the following step: interacting between a transmitter and a receiver for a number of radio frequency chains that need to be established. The receiver calculates, according to a received signal power at the time of established a different number of radio frequency chains and a total power consumption at the time of established the different number of radio frequency chains, the number of the radio frequency chains that need to be established. According to the present invention, under a condition of balancing power consumption and a rate, a number of radio frequency chains that need to be established is adaptively selected, so as to optimally configure power consumption and a transmission rate in a millimeter-wave transmission system.

Abstract: The present invention discloses a detection method, a synchronization method, and a terminal for a symmetrical synchronization signal. The detection method includes the following steps: obtaining a received signal of a synchronization signal for synchronous detection, and subsequently, performing an auto-correlation calculation on the received signal twice in the time domain, where the received signal includes a first-part received signal whose length is N and a second-part received signal whose length is NCP, the first-part received signal is symmetrical about a first central point, and the second-part received signal is symmetrical about a second central point. With low complexity of calculation and good detection performance, and being insensitive to a carrier frequency offset (CFO), the present invention is particularly applicable to an Internet of Things (IoT) environment.

Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

Abstract: A mechanism is provided for forecasting air pollution. One or more air-pollution monitoring stations correlated to a forecasting point from a plurality of air-pollution monitoring stations are identified. For the one or more air-pollution monitoring stations that correlate to the forecasting point, one or more patterns of the forecasting point, historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point are identified. Based on the one or more patterns of the forecasting point, the historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and the one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point, a pollution forecast is provided.

Abstract: The present invention proposes a lightning forecast method, comprising: identifying a Targeted Weather of SDA carrier (TWLC) based on radar reflectivity data; forecasting a future TWLC state based on the identified TWLC; building or updating an SDA model based on SDA observation data and detected TWLC state-related data; and calculating the probability of producing SDA in the forecasted future TWLC according to the SDA model.

Abstract: The present invention proposes a lightning forecast method, comprising: identifying a Targeted Weather of SDA carrier (TWLC) based on radar reflectivity data; forecasting a future TWLC state based on the identified TWLC; building or updating an SDA model based on SDA observation data and detected TWLC state-related data; and calculating the probability of producing SDA in the forecasted future TWLC according to the SDA model.