Process and manufacturing industries use a considerable amount of expensive equipment. Maintaining the health of such equipment is very important. The unforeseen breakdown of any critical equipment may result in the closure of the manufacturing process or the entire plant, possibly causing significant loss of profits.
The health of various critical components can be monitored in real time by ProcDNA, our AI-based anomaly detection platform. A combination of artificial intelligence and statistical methods are used in the platform.
Equipment, process, data and sensor anomalies are captured in real-time and presented through our visualization tool.
Most industrial equipment is modelled for anomaly detection. Such equipment includes industrial gas turbines, aero-derivatives, coal boilers, auxiliary boilers, steam turbines, condensers, major Pumps and fans and heat exchangers/feed water heaters.
ProcDNA – Tool for Reliability and Thermal Performance.
Our remote monitoring solution provides centralized access to data, giving an overview of individual sites and a detailed drilldown to all the critical equipment at each site. Real-time data provides a clear understanding of the status of the equipment.
Better asset management is achieved as remote monitoring allows to stay connected with all the critical assets, 24X7.
Our InDB Historian collects and stores industrial real-time data. The native resolution of the raw data is not lost as it’s not compressed. Rule-based alerts and notifications are generated for necessary maintenance actions.
The solution includes a configurable visualization tool that allows you to add new tags for tracking, as well as the creation of new charts on the fly. The trend and its data can be sent as an email. Annotations can be directly updated from the trend. The visualization tool also displays the results generated from the predictive engine and the thermodynamic performance calculations analysis.
Our support team includes domain experts who have extensive experience in managing plant operations, combined with our software team who can provide services for:
Remote monitoring of the health of all critical equipment
Thermodynamic modeling and thermal performance analysis of equipment and plant
Invasystems dedicated center of excellence for PI System® provides implementation and support services globally.
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To have a meaningful understanding of the performance of a power plant, it is important to have a detailed model of both the individual components and the entire plant. For such analysis, thermodynamic models based on first principles are built using GE Energy’s GateCycle software or SimTech’s IPSEpro.
The flexibility of the software allows thermodynamic models to be built for any manufacturer’s equipment (GE, Siemens, Alstom, Hitachi, Mitsubishi, etc.).
Site-specific and component specific design data are used to build these models and they can be further tuned to match the performance of the equipment at each site to ensure accuracy.
ProcDNA – Thermal Performance Analysis Tool
ExceLANCE – Thermal Performance Analysis Tool
Optimization is maximizing or minimizing an objective function for a given set of constraints. We provide optimization solutions for various industries which address operational, as well as maintenance-related, aspects.
In the power industry many plants with multiple generating machines often run at part load. Such part load operation could be caused by fuel or load restrictions or other operational constraints. In such operating modes, identifying the “optimal” load setpoints of respective generating machines helps save a significant amount of money.
Every outage precipitates various maintenance activities. Typically, in the power industry, maintenance/planning engineers try to make the best out of scheduled outages and keep the down time to a minimum. However, OEMs do not provide tools to plants that can advise them on the best time or duration of a scheduled outage. Ideally, these outages should be based on the thermal performance of all major equipment and the best combination of maintenance activities that can be performed within the given time constraints. We use powerful non-linear solvers to address such problems and to build custom optimization solutions based on customer requirements.
Manufacturing companies produce various products using common pool of machines. In many cases, the number of product and machine combinations run into large numbers. Various constraints like batch production, differences in machine capacities, running costs, machine availability increase the complexity of finding the optimal combination for a given production target. Invasystems’ has extensive experience in solving such problems using powerful linear and nonlinear solvers. Our easy to use interface takes production targets as inputs and provides the optimal scheduling scenarios under given constraints.
Linear, Non-linear and MIP (Mixed Integer Programming) solvers