10results about How to "Automate execution" patented technology

The invention discloses a method, a system and equipment for troubleshooting a communication terminal of an all-moving simulator, and belongs to the technical field of aviation simulation equipment fault diagnosis. The method comprises the following steps: acquiring data of a communication terminal operation state, an input / output system state and a central control console environment state, synchronizing time, and constructing a time sequence feature vector through denoising normalization processing; inputting a Kalman filtering state space model to calculate an observation residual error, and distinguishing a fault source and interference characteristics; identifying a fault type by using an integrated decision tree classification model, positioning a target fault point in combination with a fault tree and a Bayesian network, and matching historical cases to generate a troubleshooting scheme; after troubleshooting is completed, the fault case library is updated, and the model is optimized. According to the scheme, intelligent and standardized troubleshooting of faults is achieved, the problems that a traditional method is low in efficiency and poor in accuracy, and fault sources are difficult to distinguish are solved, the troubleshooting efficiency and accuracy are greatly improved, the operation and maintenance cost is reduced, and stable operation of the full-motion simulator is guaranteed.

The application relates to the technical field of automation operation and maintenance, and discloses an intention recognition method and system based on dynamic ontology evolution and multi-agent, which comprises the following steps: receiving a natural language instruction, performing entity extraction and probabilistic linking by using a dynamic ontology knowledge base, and generating an initial intention based on predicate analysis; automatically completing missing key slots by using a probabilistic graph model, and generating a standardized intention; decomposing the standardized intention into an atomic subtask sequence, dynamically matching an execution agent based on an agent capability-demand matrix, generating a collaborative workflow, controlling the execution agent to call an atomic tool to execute a task, performing causal correlation analysis on multi-source results according to logical relations between ontology instances, generating a structured reasoning chain, and feeding back; and extracting a new treatment script based on execution feedback by using an evolution engine, and updating an ontology knowledge base and an agent confidence degree. The application can realize accurate understanding, automatic execution and adaptive evolution of a knowledge base of a fuzzy operation and maintenance intention.

This invention discloses an evaluation method for an autonomous driving trajectory planning module, comprising the following steps: obtaining the trajectory planning results generated by the trajectory planning module under test and reference results for comparison; traversing all trajectory points of each trajectory in the trajectory planning results under test, comparing the velocity, lateral acceleration, longitudinal acceleration, lateral jerk, and longitudinal jerk of each trajectory point with the set limits for each item respectively; if at least one item exceeds the set limit, recording and storing the relative time on the trajectory of that trajectory point and the output time of the trajectory where that trajectory point is located; comparing each trajectory in the trajectory planning results under test with the reference trajectory corresponding to the same time in the reference results to obtain the difference between the two; calculating the index scores for each item based on the difference and the set scoring weights; and weighting the index scores of each item for each trajectory to obtain the evaluation score for that trajectory.

This application relates to a method for cross-border digital certificate mutual recognition based on dynamic trust anchors, comprising: collecting and preprocessing multi-dimensional trust assessment data of cross-border certificate authorities; collaboratively training a global model using federated XGBoost combined with a scenario-based attention mechanism to output a real-time trust score; constructing a hierarchical dynamic trust chain based on the score and writing the evidence data into the blockchain; generating proofs based on the Groth16 algorithm to complete certificate verification under privacy protection; deploying smart contracts to execute trust warnings, dispute arbitration, and rule updates; monitoring score changes, adaptively adjusting, and triggering an abnormal circuit breaker mechanism. This invention achieves real-time updating of trust weights and dynamic reconstruction of the trust chain, improving the efficiency and security of cross-border mutual recognition while ensuring data privacy compliance.

The invention relates to the technical field of chaos engineering, in particular to an automatic fault injection and analysis platform based on a domestic server. The system comprises an application service layer and an infrastructure layer. The application service layer comprises a user center system and a dispatching center system; the user center system is used for a user to configure and manage a fault injection task; the dispatching center system is used for receiving a task request of the user center, coordinating the infrastructure layer to execute a task and feeding back a task state to the user center at the same time; and the infrastructure layer comprises a server cluster for deploying a fault injection agent and a hardware detection component, and is used for executing a specific fault injection task under the control of the dispatching center. The invention aims to provide an automatic fault injection and detection system based on a domestic server so as to solve the problems of insufficient test coverage, complex scene design, limited real-time monitoring capability and poor compatibility of different server architectures.

This invention discloses an automated penetration testing method, apparatus, device, and storage medium, belonging to the field of penetration testing technology. The invention obtains initial information about a real network environment; inputs this initial information into a preset automated penetration testing agent to obtain target attack actions; loads the target attack actions into the target network environment and receives feedback information from the target network environment; and performs automated penetration testing based on the feedback information. This solution for automated penetration testing does not excessively rely on human resources, enabling automated execution and fine-grained control of the entire sequential penetration testing process, improving the accuracy and adaptability of the test, and thus more effectively identifying potential security vulnerabilities and threats.

This invention relates to an information data processing system and method, belonging to the field of smart agriculture technology. The specific technical solution is as follows: a wearable smart terminal is used to collect multi-dimensional sensing data from agricultural sites and send this data to a cloud server; the multi-dimensional sensing data from agricultural sites includes at least one of the following: crop image data, field environment data, soil attribute data, and geographic location information; the cloud server is used to analyze the multi-dimensional sensing data from agricultural sites to obtain cloud analysis processing, convert the cloud analysis results into first augmented reality display information, and send it to the wearable smart terminal; the cloud analysis results include at least one of the following analysis results: crop cultivation suggestions, anomaly diagnosis results, and agricultural operation decisions; the wearable smart terminal is also used to display the first augmented reality display information. This disclosure can improve the efficiency of farmland operations.

The invention discloses a section-based database field coding translation method, which comprises the following steps of: configuring an AOP section according to a front-end request, and automatically triggering the configured section after any method marked by a method-level annotation is executed and returned normally; traversing the return value by using a reflection cycle mechanism to obtain all fields in a single piece of data; whether field-level annotations exist or not is judged, if yes, attribute information of the field-level annotations is obtained, and meanwhile corresponding translation services are called; the translated readable text result is written into the specified target field in the return object through reflection again; and repeating the operation until all the fields marked by the field-level annotation in the returned object are processed, and finishing the execution of the automatic translation process to obtain a complete data object which is translated by all the specified coding fields and can be directly returned to the client. According to the scheme, centralized management and automatic execution of code translation functions are realized, and code redundancy is effectively reduced.

The invention discloses an observation platform-based insight analysis method and an electronic device, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the intention recognition of a received insight analysis request, and according to the recognized task intention, combining with a preset structured conversation analysis process configuration library, carrying out the analysis of the intention; generating an insight analysis execution path containing a multi-step analysis instruction; according to the task intention, intention keywords are extracted from the insight analysis request, semantic retrieval is carried out in a long-term memory vector library, and context information is obtained; and according to the context information, according to a multi-step analysis instruction in the insight analysis execution path, triggering calling of a target tool matched with the current step step by step, and taking a corresponding tool execution result as an input of a corresponding subsequent step to obtain an insight analysis result. According to the method and the device, the defects of poor semantic comprehension capability of a general agent and relatively poor SQL statement conversion precision are overcome, and the semantic comprehension capability of the agent and the data analysis efficiency are improved.