32 results about "Composite event" patented technology

Method of notifying a user of site abnormalities via an application configured to access an event server having a first sensor abnormality detector connected to a first sensor, for detecting first abnormal behavior of first sub-events sensed by the first sensor, the first abnormal behavior corresponding to a first abnormal behavior value, a second sensor abnormality detector connected to a second sensor, for detecting second abnormal behavior of second sub-events sensed by the second sensor of a type different from the first sensor, the second abnormal behavior corresponding to a second abnormal behavior value, a correlator for correlating the first and second abnormal behavior values and logging correlated values as a composite event, a data store, the application having a viewer configured to show, on the device, data associated with a plurality of composite events, the viewer further configured to display the plurality of composite events in a temporal order.

Situation detection systems and methods are provided, in which the capabilities of standard event stores and relational systems are enhanced by augmented event-oriented algebraic operators. Rules involving the event-oriented operators are combined with conventional relational algebraic techniques, and applied to an event database in order to detect more complex patterns, indicative of composite events or situations.

A method and apparatus for providing event correlation in a network are disclosed. For example, the method extracts a plurality of events of interest from a database, and creates one or more event time series from the plurality of events of interest, wherein each of the one or more event time series comprises a set of events of a same type and of a same location that occur within a given time period. The method forms one or more composite events from the one or more event time series, and performs one or more pair-wise correlations for at least one of: the event time-series, or the one or more composite events. The method then identifies one or more pair-wise correlations that are statistically significant.

Platform independent distributed software that constructs a security management infrastructure for different locations is described. The software includes a control manager module regulating access to critical business assets. The control manager interfaces with and bridges various type of biometric software and hardware systems. The software further includes a tracking model consisting of a custom report generation tool for monitoring people, business critical assets, and events in any particular location. In addition to tracking and access control, the software provides an event notification service for registering, monitoring, and storing primary/composite events into a modeled event history database. The software is integrated into three components. One component is the company headquarters integrated with platform independent legacy software comprising multi-tiered ERP and business packages for cross domain security management and monitoring. Another component is the managed location where the access control regions are held and the main tracking software is installed. The final component is the client software integrated with the biometric devices, regulating authentication for people, assets, and/or events.

A method for obtaining context information of work stream in pan-calculation environment includes utilizing complicated event processing engine in work stream server based on complicated event processing rule to carry out extracting and regathering on event information formed by enterprise physical environment and activity pretreated and obtained by electronic countermark identifier under pan-calculation environment prepared by Internet work stream station, information unit and identifying unit; then structuring them to form composite event being used to pick up context from.

A video content distribution and management system is provided that comprises an event content recorder recording video content associated with an event as an event recording. A workstation stores and edits the event recording to form a composite event review file that is passed to a system manager over a restricted access network. The workstation is located remote from a system manager. The system manager automatically routes the composite event review file to the workstation which enables a user to designate a video segment from the composite event review file. The workstation forms a video clip from the video segment and enables the user to add annotation information to the video clip to form an annotated video clip. The workstation conveys the annotated video clip to the system manager for redistribution.

A method and system for processing the data of any one of a variety of processes without doing a total custom design for each process. The system includes a computer and database that communicates with various monitors of the process to gather, store and retrieve the process data. A user interfaces to the computer via a client device. The computer includes a program that identifies events and activities of the process based on input from the user or from process data collected as the process runs. Attributes of the events and activities are also identified. These events, activities and attributes are classified according to a data structure that includes event types, activity types and attribute types. Storage volumes are allocated to each of the defined event types and/or activity types for storage and retrieval of the data by attribute type. The composite event or activity data can be retrieved in multiple views, such as row, column, graphical and the like.

A composite event detection/distribution system is provided with an associated event detection node that transfers, when detecting an associated event associated with the detection of a composite event generated by combining a plurality of events, the associated event that is detected to a route node and the route node that generates, when receiving the associated event from the associated event detection node, a composite event on the basis of the associated event that is received and that transfers the generated composite event to another node according to a set content.

The invention discloses an event pattern matching method facing a real-time perceptual environment and a system thereof. According to the method, through considering influences of a system response timing constraint requirement and event pattern complexity on event pattern matching real-time performance, after utilizing a system response timing constraint acquisition module to obtain a timing constraint requirement of current service rule system response and utilizing an event pattern complexity analysis module to obtain quantized complexity of current event pattern, an event pattern priority assignment module gives priority of the current event model, when a composite event matching model shows that a single state node has a plurality of direct sub-state nodes, an event pattern matching model optimization and scheduling module allows direct sub-state nodes belonging to an event pattern with high priority to execute matching according to the priority of the current event model so as to satisfy a timing requirement of real-time perceptual environment system response. The invention also discloses an event pattern matching system facing the real-time perceptual environment corresponding to the above method.

The invention relates to an industrial knowledge automation processing method oriented to a real-time sensing environment. The method comprises the following steps of 1, detecting changes of data in areal-time database of an industrial enterprise to obtain a real-time event queue; 2, defining characteristics of an atomic event according to the domain knowledge, carrying out composite event mode configuration and establishing a rule base; 3, defining detection conditions of a composite event, carrying out real-time matching on the real-time event queue; 4, when the detection conditions are met, according to the occurrence of the corresponding event, triggering the implementation of a corresponding action; 5, according to a configuration of a start node in an analysis process, determining event data to be processed from the real-time database of the industrial enterprise, then generating an event statement according to the event data, and sending to an event engine; and 6, finding a matched node or a smart object to process from a configured business process according to the received event statement by the event engine, and saving the processing results. The industrial knowledge automation processing method oriented to the real-time sensing environment can achieve automation real-time processing of the industrial knowledge.

The invention discloses a compound event responding method and a system facing to a real-time sensing environment. The method comprises the following steps that: the use of an excess storage space when an event mode to which a state node in an event matching model belongs is judged is avoided by considering the sequence of adding the event mode into an event mode matching model, the priority of the event mode of a business rule which is input currently is obtained by an event mode priority managing module after the business rule and the system response requirement are provided by a user, an event mode queue arranged according to the priority of the event mode is generated and is also submitted to an event detection preprocessing module, the construction of the event mode matching model is finished so as to realize compound event mode matching to obtain system response, and the operation of dispatching is carried out by concurrent execution between the system response of multi-step operations through a dispatching module responding according to an event so as to enhance the real-time property of the system response and meet the timing constraint of system response in a real-time sensing environment; and the invention also discloses the event responding system facing to the real-time sensing environment and corresponding to the method.

The invention discloses a semantic information based RFID complex event processing method. The semantic information based RFID complex event processing method comprises the following steps: abstracting an initial RFID event to be simple events; accurately and efficiently correlating and collecting the RFID streaming data captured by an event source to form an RFID aggregation event required for a service; abstracting the RFID simple events to be a complex event; defining the service events with contextual information and service procedures; conducting service layer data modeling, service synthesis, service compilation and service schedule to the RFID event stream and the service events; defining detection states and state switching conditions of the RFID complex event; converting the system events at the lower layer to be the service events at the higher layer, and establishing the RFID event driving model. The service system binds and captures the service events, conducts fault-tolerance processing and analyzes the service events to obtain the corresponding complex event, so as to analyze the RFID event message, acquire the RFID data meeting the requirements, simplify the service processing procedures, and increase the integrated efficiency of the RFID and the service system.

Systems and methods are provided to model financial transactions. According to some embodiments, simple events, branch events, composite events, and/or contingent events associated with a financial transaction are defined. The events may then be used to automatically manage the transaction during the transaction's lifecycle.

The invention provides an abnormity monitoring scheme of a flow computing system based on an unsupervised learning method, belongs to the field of distributed real-time system abnormity monitoring, and specifically comprises a system behavior description module, an abnormity monitoring module constructed based on a small sample constraint condition, and an online adaptive abnormity monitoring module. The method comprises the following steps: firstly, converting an original event by utilizing an event processing technology to obtain a composite event; therefore, the event state data index and the physical state data index are obtained, the collected data indexes are fused through the time window technology to obtain the system behavior state index space, and behavior description of the stream computing system is achieved. Secondly, proposing an unsupervised statistical analysis method, constructing an exception monitoring model based on a small sample constraint condition, and realizingexception monitoring of unbalanced data of the stream computing system; and finally, providing an on-line adaptive abnormity monitoring model, automatically adjusting a network structure, updating aclustering center, and realizing on-line adaptive abnormity monitoring.

The invention provides a supply chain complex event detection method supporting event time sequence constraint. The method comprises the following steps: S1, defining a supply chain event time sequence relationship; S2, collecting supply chain node time sequence data, and constructing a supply chain atomic event set and a composite event set; S3, constructing a finite-state machine of a supply chain system; S4, constructing a complex event detection statement based on the finite-state machine; and S5, detecting the supply chain event flow according to the defined complex event detection statement. For detection of the supply chain complex event, the invention not only supports the description of the time interval event, but also supports the detection of the constraint between the event time sequences, and can accurately detect the event with the sequential relationship before and after.

The invention discloses a composite event detection method and a system for real-time perception environment. Considering influences of system response timing constraint requirements and the event pattern complexity on event pattern matching and response orders, the method assigns priorityto the existing event pattern according to the system response timing requirements andthe event pattern complexity, and the method optimizes the implementation of event pattern match and system response according to composite event priority, so a real-time demand of upper application for the system response in the real-time perception environment. The invention also discloses a composite event detection system forthe real-time perception environment corresponding to the above method.