Abstract: Disclosed are a method, device, and system for monitoring a photovoltaic power station. The device for monitoring the photovoltaic power station may display prompt information with respect to a first photovoltaic device on a display of the device in response to determining, based on the operation data of the first photovoltaic device, that the first photovoltaic device operates abnormally. Thus, a monitoring engineer may judge whether the first photovoltaic device is faulty in time based on the prompt information, facilitating the guide of subsequent operation and maintenance according to the operation data of the photovoltaic device, which not only is higher in flexibility but also ensures the efficiency of fault detection.

Abstract: A method and apparatus for inspecting a wind turbine blade. The method includes: acquiring a sound signal generated by an impingement of wind on the wind turbine blade using a sound acquisition device; generating a frequency spectrogram corresponding to the sound signal; and obtaining a damage recognition result of the wind turbine blade from the frequency spectrogram by performing image recognition on the frequency spectrogram based on a damage recognition model. With the method, a damage type of the wind turbine blade is accurately recognized based on the frequency spectrogram without manual inspection. Therefore, human resources are saved. In addition, the health state of the wind turbine blade can be monitored in real time.

Abstract: A method and an apparatus for updating a gateway resource, and an Internet of Things (IoT) control platform, which belong to the field of IoT. The method is applicable to the IoT control platform connected to each gateway device, and the gateway device is connected to an IoT device.

Abstract: The present disclosure relates to a method and apparatus for pushing subscription data in Internet of things. The method includes: parsing a subscription condition set into a first attribute set in response to receiving the subscription condition set; acquiring device data; parsing the device data into a second attribute set; performing Bloom filtering on attribute elements in the second attribute set one by one in a predetermined order by taking an attribute element set in the first attribute set as a filter condition; stopping the Bloom filtering on the other attribute elements in the second attribute set in the case that a Bloom filtering result of one attribute element indicates an occurrence of mismatch; and returning to the step of acquiring the device data.

Abstract: Disclosed is a method for processing an irradiation forecast. The method includes: acquiring irradiation forecast data corresponding to a target time period; calling a stacked generalization model including a first-layer generalizer and a second-layer generalizer; determining, using the first-layer generalizer, intermediate forecast data based on the irradiation forecast data corresponding to the target time period; and determining, using the second-layer generalizer, an output forecast value corresponding to the target time period based on the intermediate forecast data. In a technical solution according to an embodiment of the present disclosure, a method for processing an irradiation forecast is achieved.

Abstract: A method including: acquiring present output current values of photovoltaic strings included in a photovoltaic array that, wherein includes at least two photovoltaic strings in parallel; determining a target abnormality score predicting model based on the present output current values. Determining a present abnormality score corresponding to the photovoltaic array by inputting the present output current values into the target abnormality score predicting model; and determining the operating state of the photovoltaic array by comparing the present abnormality score with a target abnormality score. The present abnormality score is output by inputting the present output current values acquired in real-time into the abnormality score predicting model, so as to determine the operating state of the photovoltaic array.

Abstract: The present disclosure provides a method and apparatus for managing an IoT device. The method includes: acquiring device information and logic information of the IoT device, wherein the logic information is intended to indicate a logical attribute of the IoT device; generating a tree topology based on the device information and the logic information of the IoT device, wherein the tree topology comprises at least two layers of asset nodes, leaf nodes of the at least two layers of asset nodes being device asset nodes, non-leaf nodes being the device asset nodes or logical asset nodes, the device asset node corresponding to the IoT device, and the logical asset node corresponding to the logical attribute of the IoT device; and acquiring an ordered tree topology by sorting asset nodes in a same hierarchy in the tree topology.

Abstract: The present disclosure discloses a method and an apparatus for configuring an alarm rule for an IoT device, and a device and a storage medium thereof, which are applied to the field of IoT. The method includes: configuring at least two groups of alarm rules for a plurality of IoT devices of the same type in an IoT; obtaining n usage categories of the plurality of IoT devices by categorizing the plurality of IoT devices according to usage characteristics of the plurality of IoT devices; calculating a correlation between the at least two groups of the alarm rules and the n usage categories, and storing a corresponding relationship between a target usage category and a target alarm rule whose correlation is higher than a condition; and when an IoT device belonging to the target usage category is newly added, configuring an alarm rule of the newly added IoT device as the target alarm rule.

Abstract: Disclosed are a method and an apparatus for string connecting photovoltaic modules. The method includes: acquiring position information of n photovoltaic modules to be connected; categorizing the n photovoltaic modules into m partitions based on the position information of the n photovoltaic modules; generating k candidate connection solutions of an ith partition in the m partitions, wherein the ith partition includes m photovoltaic modules, and each of the k candidate connection solutions uses one photovoltaic module in the m photovoltaic modules as a starting point, and obtaining at least one string of photovoltaic modules by simulating connection of the m photovoltaic modules according to a preset connection solution; and selecting a target connection solution from the k candidate connection solutions based on an estimated cable use amount corresponding to each of the k candidate connection solutions.

Abstract: Disclosed are a method and apparatus for detecting a fault, and a method and apparatus for training a model. The method includes: acquiring characteristic data and actual temperature of a first wind turbine among n wind turbines, wherein the characteristic data of the first wind turbine is intended to characterize a working state of the first wind turbine, and n is an integer greater than 1; acquiring a prediction temperature set by inputting the characteristic data of the first wind turbine into a temperature prediction model corresponding to each of the n wind turbines; and detecting, based on the predicted temperature set and the actual temperature of the first wind turbine, whether the first wind turbine encounters a fault.

Abstract: A method including: acquiring present operating state data of a photovoltaic array, wherein the photovoltaic array includes at least two photovoltaic strings in parallel, and the present operating state data includes present output current values of the photovoltaic strings and present irradiances corresponding to the photovoltaic strings. Determining present characteristic parameters of the photovoltaic array based on the present operating state data, wherein the present characteristic parameters include a present characteristic current value, a present current discrete rate and the present irradiances; and determining an operating state of the photovoltaic array by comparing the present characteristic parameters with standard characteristic parameters of the photovoltaic array.

Abstract: Disclosed are a method and apparatus for storing data. The method includes: acquiring data to be stored; converting the data to be stored from an initial data type to a target data type, a data length corresponding to the target data type being less than that corresponding to the initial data type; and storing the data to be stored of the target data type to a database. In the method according to the present disclosure, a storage space occupied by the data to be stored in the database is greatly reduced. In addition, the method according to the present disclosure is performed prior to lossy or lossless data compression storage of the data to be stored in the related art. That is, on the basis of a compression ratio when the data to be stored is stored in the related art, the present disclosure further improves a compression effect of the data to be stored by reducing the data length when the data to be stored is stored, and further saves storage resources of the database.

Abstract: A method and an apparatus for updating a gateway resource, and an Internet of Things (IoT) control platform, which belong to the field of IoT. The method is applicable to the IoT control platform connected to each gateway device, and the gateway device is connected to an IoT device.

Abstract: Disclosed are a method and apparatus for detecting a yaw-to-wind abnormality. The method includes: acquiring a wind direction deviation angle within a specified time period; calculating a power performance index, wherein the power performance index is a dimensionless number used to characterize power generation performance of a wind turbine; determining an optimal wind direction deviation angle based on the power performance index; determining a current wind direction deviation angle according to probability distribution of the wind direction deviation angle; and if a difference between the optimal wind direction deviation angle and the current wind direction deviation angle is greater than a preset threshold, determining that a yaw-to-wind abnormality is detected.

Abstract: Disclosed are a method and apparatus for transmitting data in an IoT system. The method includes: determining a data type of device data sent by an IoT device when a connection between a gateway device and a server is abnormal; storing device data of a real-time data type into a first message queue of a message-oriented middleware, and storing device data of a historical data type into a second message queue of the message-oriented middleware; transmuting the device data in the first message queue to a server over a first MQTT channel and transmitting the device data in the second message queue to the server over a second MQTT channel when the connection resumes to a normal state.

Abstract: Disclosed are a method and apparatus for storing and querying time series data. The method includes: determining a data type of data to be stored; compressing the data to be stored by a data compression method corresponding to the data type; storing compressed data to a data storage table corresponding to the data type; receiving a query request including a query data type and a query time condition; querying target data that meets the query time conditions from a data storage table corresponding to the query data type. In the embodiments of the present disclosure, different compression methods are adopted for different types of data, which improves the compression efficiency of time series data and save storage resources. Moreover, when performing data query, time series data that meets a query time condition is searched in a data storage table corresponding to a query data type, which improves the query efficiency of different types of time series data.

Abstract: A method and an apparatus for authority control, a computer device, and a storage medium, and relates to the field of the Internet technologies. The method includes: acquiring a configuration file according to a business scenario when a container is initialized, wherein the configuration file is managed outside the container; validating the configuration file in the container; receiving a user instruction; and identifying a type of the user instruction when the user instruction is an executable instruction. The method further including acquiring script content of a script file when the type of the user instruction indicates that the user instruction is the script file, wherein the script content includes at least one command statement; and performing a validity check on the at least one command statement based on the configuration file.

Abstract: Disclosed are a method and an apparatus for string connecting photovoltaic modules. The method includes: acquiring position information of n photovoltaic modules to be connected; categorizing the n photovoltaic modules into m partitions based on the position information of the n photovoltaic modules; generating k candidate connection solutions of an ith partition in the m partitions, wherein the ith partition includes m photovoltaic modules, and each of the k candidate connection solutions uses one photovoltaic module in the m photovoltaic modules as a starting point, and obtaining at least one string of photovoltaic modules by simulating connection of the m photovoltaic modules according to a preset connection solution; and selecting a target connection solution from the k candidate connection solutions based on an estimated cable use amount corresponding to each of the k candidate connection solutions.

Abstract: Disclosed are a method and apparatus for detecting a yaw-to-wind abnormality. The method includes: acquiring a wind direction deviation angle within a specified time period; calculating a power performance index, wherein the power performance index is a dimensionless number used to characterize power generation performance of a wind turbine; determining an optimal wind direction deviation angle based on the power performance index; determining a current wind direction deviation angle according to probability distribution of the wind direction deviation angle; and if a difference between the optimal wind direction deviation angle and the current wind direction deviation angle is greater than a preset threshold, determining that a yaw-to-wind abnormality is detected.

Abstract: Disclosed are a method and apparatus for detecting a fault, and a method and apparatus for training a model. The method includes: acquiring characteristic data and actual temperature of a first wind turbine among n wind turbines, wherein the characteristic data of the first wind turbine is intended to characterize a working state of the first wind turbine, and n is an integer greater than 1; acquiring a prediction temperature set by inputting the characteristic data of the first wind turbine into a temperature prediction model corresponding to each of the n wind turbines; and detecting, based on the predicted temperature set and the actual temperature of the first wind turbine, whether the first wind turbine encounters a fault.