3results about How to "Realize dynamic deployment" patented technology

The application provides a method and system for checking the cross-modal information consistency of a maintenance plan based on a large model, and relates to the technical field of big data analysis. The method comprises the following steps: identifying a target maintenance plan through a power large model, determining key maintenance content, an unstructured proportion, and an attachment type complexity; obtaining a text data complexity and a business risk index based on key maintenance content analysis, as a first checking difficulty coefficient and a second checking difficulty coefficient; determining a third checking difficulty coefficient according to the unstructured proportion and the attachment type complexity evaluation; taking the expected review time limit of the target maintenance plan as a constraint, formulating an adaptive checking depth and an adaptive checking breadth based on the first checking difficulty coefficient, the second checking difficulty coefficient, and the third checking difficulty coefficient; and performing cross-modal information consistency checking on the target maintenance plan according to the adaptive checking depth and the adaptive checking breadth. The dynamic allocation of resources for checking the cross-modal information consistency of a maintenance plan is achieved.

The application discloses an engineering safety risk perception method based on deep learning, which comprises the following steps: step one, collecting engineering safety data of a construction site; step two, performing data preprocessing to generate a standard multimodal sample set; step three, generating a risk perception tensor sequence through the improved FusionNet network from the standard multimodal sample set; step four, constructing an engineering risk perception vector sequence based on the risk perception tensor sequence; step five, inputting the engineering risk perception vector sequence and the risk perception tensor sequence into a risk reasoning model to generate a construction site risk perception result; step six, collecting safety event feedback information of the construction site, and updating the improved FusionNet network and the risk reasoning model; and step seven, redeploying the updated improved FusionNet network and the risk reasoning model. The application improves the perception ability of engineering safety risks through the improved FusionNet network.

The embodiment of the invention provides a vehicle defrosting method and electronic equipment, and the method comprises the steps: responding to a received defrosting instruction of a target structure in a vehicle, determining a target defrosting type corresponding to the defrosting instruction from a plurality of defrosting types, obtaining the layout information of a heating system in the vehicle and a heating demand value of the target structure, and on the basis of the heating system layout information, a first sub-heating area in the target structure and a first heating line corresponding to the first sub-heating area are determined, and on the basis of the target defrosting type, the first sub-heating area is heated by using a heating current value and a heating demand value corresponding to the first heating line, so that the target structure is defrosted. The technical problem that the defrosting efficiency of the vehicle is low in the related technology is solved.