Abstract: The invention relates to the technical field of radar detection, in particular to a device for real-time detection of spectrum from airborne hyperspectral imaging LiDAR and method thereof. The device comprises a laser and a reference module; the reference module comprises a first reflecting mirror and a second reflecting mirror with a given transmittance; the first reflecting mirror and the second reflecting mirror are arranged with a focusing mirror and an optical fiber in sequence therebetween. The laser emits a laser light to the first reflecting mirror with a given transmittance, and the beam of the laser light transmitted through the first reflecting mirror after passing the focusing mirror is used as the reference beam after passing the optical fiber. The invention enables detection of the spectral line of each pulse and improves the precision of reflection spectrum of the ground object measured by the system.

Abstract: A method and a device for forecasting an electric load, an electronic device, and a computer-readable storage medium are provided. The method includes: acquiring historical load data prior to a forecast date; generating a load sequence based on the historical load data; performing variational mode decomposition on the load sequence, to obtain multiple intrinsic mode components and a residual that are corresponding to the load sequence; and inputting the multiple intrinsic mode components and the residual into respective forecasting models, and determining a load value on the forecast date based on forecasting results of all the forecasting models. With the method and the device, the electronic device, and the computer-readable storage medium, the load sequence is decomposed based on the variational mode decomposition, so that more dimensional feature information in the load sequence can be mined. Moreover, the residual is also used as valid data.

Abstract: A thermal-runaway warning method, system, and terminal for a power station are provided. The method comprises: obtaining collected data of a battery module comprised in the power station, wherein the collected data comprises collected temperature values of the battery module collected by temperature measuring devices; normalizing the collected data to obtain a standard dataset; training a CNNLSTM-based temperature predicting model based on the standard dataset to obtain a trained CNNLSTM-based temperature predicting model; and obtaining a predicted temperature value of the battery module within an output time window based on the trained CNNLSTM-based temperature predicting model, and determining whether there is a risk of thermal runaway in the power station based on the predicted temperature value.

Abstract: The present disclosure provides methods and apparatus for executing integrated application programs. An implementation class of an instantiation application program is executed in a first process, to obtain a context of a first application program including a first identifier. Or an implementation class of an instantiation application program is executed in a second process, to obtain a context of a second application program including a second identifier. It is determined whether an identifier corresponding to a current process is the first identifier or the second identifier. If the identifier corresponding to the current process is the first identifier, the first application program is executed when an initialization starts. Or, if the identifier corresponding to the current process is the second identifier, the second application program is executed when an initialization starts.

Abstract: The present disclosure provides methods and apparatus for executing integrated application programs. An implementation class of an instantiation application program is executed in a first process, to obtain a context of a first application program including a first identifier. Or an implementation class of an instantiation application program is executed in a second process, to obtain a context of a second application program including a second identifier. It is determined whether an identifier corresponding to a current process is the first identifier or the second identifier. If the identifier corresponding to the current process is the first identifier, the first application program is executed when an initialization starts. Or, if the identifier corresponding to the current process is the second identifier, the second application program is executed when an initialization starts.