Abstract: This application provides a battery cell, which includes: a housing including a wall portion; an electrode terminal mounted on the wall portion in an insulating manner; an electrode assembly disposed in the housing, where the electrode assembly includes a body and a first tab, the first tab being formed at an end of the body closer to the wall portion; a current collecting member disposed between the electrode assembly and the wall portion, where the current collecting member is configured to connect the first tab to the electrode terminal; and a first insulating member, at least a portion of the first insulating member covering a side of the current collecting member facing the wall portion to insulate and isolate the current collecting member from the wall portion. The battery cell of this application has high safety.

Abstract: The invention discloses a vehicle fault reasoning method based on a knowledge graph, includes: constructing a knowledge graph of a vehicle fault; obtaining a question statement (QS) from user; performing question classification on the QS by TextCNN to obtain a classification result; marking a training QS by using an NER data marking manner and training an entity extraction model based on a sequence marking result; generating a vehicle fault class by a decision tree model for extracting the QS and searching for an answer in the knowledge graph; and performing question template matching based on the classification result and the answer and substituting the answer into the question template to obtain an answer statement. A question answering system constructed by the method includes word processing, question classification, question template matching, and answer generation, which helps the user judging a fault problem of vehicle, and searching for related knowledge about vehicle fault.

Abstract: The present disclosure relates to a digital control device based on artificial intelligence, belonging to the technical field of intelligent control. The digital control device based on artificial intelligence used by the present disclosure can comprehensively monitor the environmental data including temperature, humidity, smoke concentration, oxygen content, infrared temperature signals, etc. in real time by providing a control system, an environmental monitoring system and an actuating system, and generate control instructions through the monitored environmental data so that the actuating system can make corresponding actions accordingly, thus solving the problems existing problems in the prior art that the monitoring comprehensiveness is low, misjudgments or missed judgments are easy to occur, sensors cannot collect external environmental information in a time-sharing manner, and the practicability and service life are short.

Abstract: A method is provided for forming a poly-crystalline silicon film on a substrate. In one embodiment, the method comprises positioning a substrate within a processing chamber, heating the processing chamber to a deposition temperature, introducing a first silicon precursor into the processing chamber to form a buffer layer including crystal nuclei, introducing a second silicon precursor into the processing chamber to form a polysilicon film on the buffer layer, and then annealing the polysilicon film and the buffer layer.