Data validation and reconciliation

Industrial process data validation and reconciliation, or more briefly, data validation and reconciliation (DVR), is a technology that uses process information and mathematical methods in order to automatically ensure data validation and reconciliation by correcting measurements in industrial processes. The use of DVR allows for extracting accurate and reliable information about the state of industry processes from raw measurement data and produces a single consistent set of data representing the most likely process operation.Normally distributed measurements without bias.Normally distributed measurements with bias.Data reconciliation is a serious issue for enterprise-control integration. The data have to be valid to be useful for the enterprise system. The data must often be determined from physical measurements that have associated error factors. This must usually be converted into exact values for the enterprise system. This conversion may require manual, or intelligent reconciliation of the converted values .Systems must be set up to ensure that accurate data are sent to production and from production. Inadvertent operator or clerical errors may result in too much production, too little production, the wrong production, incorrect inventory, or missing inventory.Sensor redundancy arising from multiple sensors of the same quantity at the same time at the same place.Topological redundancy arising from model information, using the mass conservation constraint a = b + c {displaystyle a=b+c,!} , for example one can calculate c {displaystyle c,!} , when a {displaystyle a,!} and b {displaystyle b,!} are known.Calculable system, from d {displaystyle d,!} one can compute c {displaystyle c,!} , and knowing a {displaystyle a,!} yields b {displaystyle b,!} .non-calculable system, knowing c {displaystyle c,!} does not give information about a {displaystyle a,!} and b {displaystyle b,!} . Industrial process data validation and reconciliation, or more briefly, data validation and reconciliation (DVR), is a technology that uses process information and mathematical methods in order to automatically ensure data validation and reconciliation by correcting measurements in industrial processes. The use of DVR allows for extracting accurate and reliable information about the state of industry processes from raw measurement data and produces a single consistent set of data representing the most likely process operation.