6 results about "Unexpected events" patented technology

The application belongs to the technical field of information analysis, and particularly discloses a sudden event distortion information identification method and system, which comprises the following steps: constructing a keyword table of a sudden event according to keywords of the sudden event; screening a sudden event distortion information data set to construct a sudden event distortion information training data set and a test data set; building a first-stage verification large model through a sample embedding prompt strategy and building a second-stage review large model through a chain thinking prompt strategy; constructing an XLNet-BiLSTM hybrid model to identify sudden event distortion information; constructing a model dynamic integration rule considering the consequences of illusion relief and specific distortion scores, and obtaining the distortion information identification results of the two-stage large model and the XLNet-BiLSTM hybrid model. The application ensures the consistency and understandability of the identification results and the generated explanation, and highlights the transferability of information identification in different types of sudden events.

The invention relates to an emergency training drilling method and system based on three-dimensional simulation. The method comprises the following steps: based on a physical environment state parameter and a user operation instruction set of a previous period, analyzing the occurrence condition of an emergency of the current period, and obtaining emergency identification information of the current period; obtaining a three-dimensional drilling scene of the current period based on the physical environment state parameters of the previous period, the user operation instruction set, preset current environment parameters and emergency identification information of the current period; acquiring a user operation instruction set and a current physiological signal when the three-dimensional drilling scene of the current period is executed; based on the emergency identification information of the current period, the user operation instruction set, the physical environment state parameters and the current physiological signals, the emergency operation condition of the user is evaluated, and an operation matching result and a cognitive load evaluation result of the current period are obtained. By adopting the method, actual combat pertinence and training effectiveness of drilling can be improved.

This invention proposes a wireless sensing platform with edge computing capabilities, relating to the field of wireless sensor technology. Addressing the problems of high data redundancy, high transmission latency, and weak ability to identify and respond to sudden events in complex scenarios in existing wireless sensor technologies, this invention employs a joint processing mechanism combining a causal event identification component, a causal data fusion component, an event separation component, and a data allocation component. By detecting causal change events in the environment, it dynamically extracts and fuses sensor data with strong causal relationships, reducing redundant data transmission caused by sudden events, lowering transmission latency, and improving the robustness of causal data fusion in concurrent event scenarios. This achieves efficient and accurate perception and response to sudden events in complex environments.

The invention relates to the technical field of artificial intelligence big data algorithms, and discloses a business process optimization method and system based on an artificial intelligence big data algorithm. In turn, external contextual information is obtained and parsed in response to the combined performance to identify external events associated with the particular operational anomalies. On the basis, causal association between the external event and the specific operation exception can be established, and an optimization strategy of the external event is generated according to the causal association. The method can deeply understand the'accident 'situation which is caused by external emergencies and has strong locality and dynamic characteristics, identify deep causes behind qualitative factors, and establish a complex causal relationship between the qualitative factors and quantitative operation index deterioration.

This invention discloses a robustness verification method and related equipment based on dynamic node tracking. The robustness verification method based on dynamic node tracking according to an embodiment of the invention includes establishing a list of key elements of the object to be verified, the list including state information of at least one key element; acquiring the nodes where the state information of the key elements changes when the object to be verified is executed without interruption; determining the injection timing based on the nodes where the state information of the key elements changes, and injecting an interruption event at the injection timing; verifying whether the object to be verified recovers to the expected target after the interruption event injection. The robustness verification method and related equipment based on dynamic node tracking according to an embodiment of the invention balance coverage, accuracy, and verification efficiency in the verification of recovery from sudden event interruptions.