8 results about "Repeat analysis" patented technology

The invention belongs to the technical field of running program management, and relates to an agent code processing method and device, equipment and a storage medium. Matching a program running logic template; identifying whether the program operation logic template is analyzed in advance or not; if yes, obtaining a previous analysis result; if not, analyzing the program running logic template to obtain a target analysis result; converting the analysis result into an executable target form; and running the target agent according to the conversion result of the target form. Before the to-be-recognized program operation logic template is analyzed, the pre-recognition condition is added, the actual analysis condition is combined, repeated analysis is avoided, the analysis result is reasonably reused, and the screening operation efficiency of the target agent can be effectively improved. Especially in the financial application scene or the health medical application field, repeated calling and using of the target intelligent agent can be achieved, and the business aided decision making efficiency is improved.

The application discloses a Cosim platform-based test case configuration method and application, and comprises the following steps: analyzing chip registers and table item addresses, and storing the chip registers and table item addresses into a Cosim database; taking the names of the registers and table items in the Cosim database as indexes to match the configuration of Cmodel test cases, and generating corresponding configuration files. The method can separate and realize the original chip registers and table items by analysis, avoid repeated analysis of the public information in different test cases, and improve the conversion efficiency of the Cosim test case configuration by adding the Cosim database to store and match the address of the test case configuration.

The application relates to the technical field of cross technology of artificial intelligence and operation and maintenance, and discloses a multi-agent closed-loop fault diagnosis method and system based on a prompt word, which is used for solving the problem that traditional methods do not have dynamic task planning and feedback adjustment capability and cannot adapt to repeated analysis and step-by-step deepening troubleshooting requirements in operation and maintenance scenes; the method first receives a natural language fault description and generates a session identifier, extracts and fills a business object, an environment identifier, a time window and a symptom label, and then writes the same into a shared state; a general control agent generates a task flow planning with a version and solidifies a task identifier, an input condition, a dependency and a backwrite constraint; a scheduling agent divides and issues instructions in parallel batches according to the dependency; a task agent calls monitoring, log and CMDB data acquisition through an adapter and writes back the results; the general control agent gathers evidence, judges and iteratively adjusts or generates an archived diagnosis report.

The invention discloses a document generation method and system based on an autonomous agent, the autonomous agent realizes efficient decision by integrating memory information and deep demand analysis, and the core is that historical interaction data and domain knowledge are utilized to form a memory module; multi-level disassembly (such as intention recognition, implicit condition mining and associated scene analysis) is performed in combination with a context background of a user demand, so that the problem of demand understanding fragmentation is effectively solved, and the accuracy is remarkably improved; besides, a structured plan generated based on memory information defines a tool calling sequence and operation steps, resources such as a database and an API are dynamically called through a protocol layer tool, historical experience is reused, repeated analysis is avoided, and the decision process is accelerated; besides, an evaluation-adjustment closed-loop mechanism is adopted in plan execution, information integrity is verified in real time, and if a gap exists, the plan is intelligently adjusted or tool calling is supplemented, so that output comprehensiveness is ensured.

The application provides a multi-release comparison test method and device, electronic equipment and program product, realizes accurate, light and efficient multi-heterogeneous database adaptation test. The application layer storage process is analyzed to generate unified execution logic, and independent test transactions are created for each target database. The business logic is executed in the transaction to avoid fragmentation bias, cooperate with result comparison analysis, and ensure test accuracy and abnormal recognition accuracy. Based on the multi-source data configuration and the storage process analysis result, the core resources are preloaded to the shared memory. The application layer only needs to maintain a set of business logic, and does not need to adapt the version of multiple databases separately, thereby reducing repeated analysis and disk IO, and significantly reducing resource occupation and deployment cost. The storage process identifier and the data source name are matched with the multi-database connection configuration, the sub-thread is configured according to the number of databases, and the concurrent execution is performed. The test script does not need to be manually written, and the batch comparison can be initiated by simple configuration, thereby greatly shortening the test period and effectively improving the adaptation development and execution efficiency.

The invention relates to an asset reference management method and system for a digital picture book generation system and a medium, and the method comprises the steps: executing multi-modal analysis when assets are created or updated, and obtaining a reference asset structured insight package; writing the reference asset structured insight packet into asset storage to realize full-link multiplexing; when the digital picture book generation system loads assets or / and in the process of generating the digital picture book by using a certain asset, the availability of the asset is verified, and if the asset is available, the reference asset structured insight package corresponding to the asset is directly quoted to avoid repeated analysis; and if the assets are withdrawn or have no asset reference authority, the digital picture book generation system removes the assets and the reference asset structured insight packages corresponding to the assets, and outputs a list of the removed assets. According to the asset reference management method, the same asset can be used for multiple times, repeated analysis of the asset is not needed, and repeated analysis cost is reduced; and copyright and compliance risks caused by illegal asset quotation can be reduced.

The invention provides a message analysis method and system, and is applied to the technical field of industrial communication. The method comprises the following steps: acquiring fixed header information and variable body data of an FF protocol message, and judging whether an analysis instruction sequence corresponding to a function code in the fixed header information exists or not by querying a hot field offset cache; if not, analyzing the high-frequency field offset in the message, generating an analysis instruction sequence containing the function code and the field offset, and storing the analysis instruction sequence in a cache; and if so, quickly positioning the high-frequency field by using the offset in the cache, and packaging and outputting the field information. By caching and multiplexing the analysis instruction sequence, repeated analysis of the high-frequency field is avoided, efficient analysis of the FF protocol message is realized, and the analysis efficiency is remarkably improved.

The invention discloses a method and system for repeated analysis of customer group diagnosis, belongs to the technical field of data mining, effectively intercepts highly similar customer groups in a customer group creation stage through rule diagnosis, and reduces the generation of repeated data from the source; through data diagnosis, identification and combination of high-repetition customer groups, the storage space of redundant customer data is directly reduced, CPU and memory resources consumed by repeated calculation of the same batch of customers in subsequent marketing activities are reduced, bitmap calculation and a multi-thread parallel technology are adopted, and the calculation efficiency is improved. According to the method, batch comparative analysis of tens of millions of customers and thousands of customer groups can be completed in an hour level, the performance requirement of enterprise-level large data volume processing is met, clear data insight is provided for operators through a visual repetition rate matrix, the operators can quickly position problematic customer groups and make scientific customer group optimization decisions, and the efficiency of enterprise-level large data volume processing is improved. And the refinement level of customer group management is improved.