System configuration management
Continued monitoring and measurement practice is an essential element of a decision making process for any successful economy. Monitoring system data integration and support platform, through its System configuration management component, offers a suite of structured components for visualization, management and analysis of temporal data interlinked with data sources. Visualization of temporal data is centered around time series-type displays. An integrative display component, the graphical layer representing area maps or structure schematics with overlays that hold various types of symbols denoting the components of the monitoring system, is also available. User’s tasks can thus range from manual addition of the monitoring system data and linkage with graphical layers, through time-series data quality assurance and corrections, to composing visualizations by combining time-series diagrams and graphical layers.
Historical data collections viewer
Understanding of complex systems, observed through time, is essentially dependent on the ability for simple and effective dissemination of the gathered data. On the premise of accessible and organized data storage, Historical data collections viewer provides a system-wide overview of all aspects of the data, from collection and storage to its dynamics through time. Its visualization components are previously prepared in the System configuration component. Specific timeline mechanism enables historical snapshots which represent configurations of the monitoring system prior to structural changes, like the additions of new instruments. This mechanism provides a historical overview of the past where all display components reflect data from a time when the timeline slider was dragged to. For example, if a time-series diagram is currently displayed, time shifting would result in the active display update showing the time series up to the selected time.
Real-time data monitoring tool
Dynamics of data monitoring, as a day-to-day practice, can be regarded as a driving force behind key decisions in management and operational control in both industrial and scientific environments. Focusing on continually incoming data, Real-time data monitoring tool provides a setting where users can observe time-series dynamics, inspect the evaluated data quality, compare new data with control values, and receive warnings with custom level of sensitivity and regularity. Constant data flow is ensured by establishing and maintaining a connection with data monitoring system. Time-series statistical models, created and tested in the Data analysis tool or Data derivation and validation manager, are primarily used in the warning control system, since their confidence intervals represent the allowed variability in the observed time-series values.
Data analysis tool
Expert knowledge and experience in observing temporal patterns is one of the key factors for understanding time series data. Data analysis tool represents a platform which builds upon past analytic experience and expertise. Through intuitively rich user interface it offers a compact tool built around a common base component for manipulating time series as separate entities and a set of functional components, which emphasize different aspects of time series analysis. These aspects include manual data corrections, multiple workspaces, a set of time-series data modifications, such as moving averages and scalar operations, regression analysis and modeling framework, quality assurance modeling and derived time series calculators.
Data derivation and validation manager
In any complex information system there are usually a number of internal components which represent means to organize and represent raw data so that users can interpret and operate with such data in a more meaningful way. As a vital part of the information system, centralized administrative server allows for creation and usage of new data types, by applying various administrative, statistical or analytical rulesets. Monitoring based information systems are based on the extensive usage of created data types, and Centralized server administrative platform provides detailed form-based components which enable creation, maintenance and system-wide distribution of higher level data types. These types include definitions of statistical/time-series models, formulas for the derived time-series objects and sets of technical data quality assurance models.
Data acquisition manager
Although much of the communications between central database and the measuring equipment used in organized monitoring practice is an automated process, there is still the necessity to manage the dynamics of data acquisition. Primarily, Data acquisition manager enables timetable based scheduling of data gathering and forwarding so that the database servers are always optimally weighted regardless of the acquisition dynamics. Additionally, not all data stored in the central database originates from the monitoring practice. For example, if paper-based archives are available, much of the past data observations are not in the digital form. Manual data entry is also available and it enables the inclusion of such data sources along with the automatically gathered data. It allowing users to type in the data by hand and to store such data in the central database.