6 results about "Log mining" patented technology

The invention discloses a service full-link real-time perspective and driving method, device and equipment and a storage medium, and the method comprises the steps: building a hybrid data integration system, and integrating data dispersed in each heterogeneous service system to a lightweight order center; obtaining a data change event of the core business system through database log mining and issuing the data change event to a message queue; updating the lightweight order center based on the incremental data; calling a source system interface to acquire and process missing data in real time during query through an on-demand back-to-source mechanism; assembling the basic data and the supplementary data into a complete business object, and generating a full-link state view through state mapping; and when the key service state node is identified to be changed, broadcasting an event to a subscription system to trigger downstream service process automation. According to the invention, real-time integration and second-level response of service data are realized, data blind areas are eliminated while stability is guaranteed, full-link state perspective and service process automation are realized, and service operation efficiency and reliability are improved.

The invention discloses a trusted cross-organization process mining method and system based on a block chain, and the method comprises the steps: filtering an original event log, and obtaining an interaction event log; private and public process models are mined by using the original and interactive event logs; the public process model after block chain smart contract verification is linked and synchronized among the nodes; any organization submits the merging operation as a transaction to a block chain, and the block chain is driven by a smart contract to fuse the public process model of each collaborative organization into a global public process model and synchronize the global public process model; any organization submits the simplified operation as a transaction to a block chain, the block chain is driven by a smart contract, and public process model fragments related to the own side and the own side related collaborative organization are obtained and synchronized according to global public model simplification; and integrating the public process model fragment and the own private process model under a block chain to generate a cross-organization collaboration process model from a local organization perspective. According to the invention, mining and optimization of cross-organization business processes are facilitated.

The invention relates to the technical field of communication monitoring and alarming, in particular to a multi-terminal cooperative communication monitoring and alarming system for a 5G new call, and aims to realize comprehensive monitoring and alarming of multi-terminal cooperative communication in a 5G new call scene. The system comprises a data acquisition module, a log mining module, a communication environment simulation module, a risk prediction module, a service operation state monitoring module and an alarm module. The log mining module forms a risk threshold set through data mining of historical system logs, and the risk prediction module monitors index abnormity in real time, calculates an abnormal index prediction value by means of the communication environment simulation module and inputs the abnormal index prediction value into a simulation environment for continuous monitoring. And the service operation state monitoring module performs response time, success rate and concurrency analysis and multi-index abnormal association analysis on the service. According to the system, through cooperative work of multiple modules, efficient monitoring and accurate alarm of 5G new call multi-terminal cooperative communication are realized.

The embodiment of the invention provides an incremental data synchronization method and device, equipment, a storage medium and a program product, and relates to the field of distribution. The method comprises the following steps: acquiring transaction logs recorded according to a system change number sequence from a main node; dividing the transaction log into a plurality of log segments according to the numerical value interval of the system change number, and executing a log mining operation on each log segment in parallel to extract change data; sorting the mined change data according to the system change number; and applying the sorted changed data to a local database of the standby node. According to the method, a segmented parallel processing mechanism based on the system change number is added, and the synchronization efficiency of massive transaction logs is improved.

The invention discloses an automatic scene rule generation method and system based on a large language model agent, and belongs to the technical field of Internet of Things. The method comprises the following steps: structuring an event log of the Internet of Things equipment, modeling an indoor space environment where the Internet of Things equipment is located, and generating spatial feature description of a corresponding indoor space unit; based on the structured event logs, event modes with the occurrence frequency larger than a set support degree threshold value are mined; performing feature modeling on the event mode from a time angle to obtain time feature description of the event mode; and transmitting the spatial feature description and the time feature description to a large language model to generate a scene rule of the Internet of Things equipment. According to the method, the IoT user can be assisted to quickly generate the automatic scene rule meeting the real intention of the IoT user.

This application discloses a method, system, and storage medium for constructing a multi-view trace graph of an industrial process, belonging to the field of industrial process mining technology. The method includes: acquiring event logs of the industrial process; based on the event logs, mining and generating an initial behavioral relationship graph reflecting the behavioral dependencies between activities, wherein the initial behavioral relationship graph has activities as nodes and behavioral dependencies between activities as edges; extracting multi-view attribute information associated with activities from the event logs, wherein the multi-view attribute information includes at least one or more of resource attributes, scale attributes, product attributes, and personnel attributes; embedding and mapping the multi-view attribute information to generate a multi-view fusion feature vector for each activity node; combining the initial behavioral relationship graph with the multi-view fusion feature vector to construct a multi-view trace graph, which is used to uniformly represent the interaction between the execution structure and multi-view attributes of the industrial process.