Reasonable and effective visualization monitoring techniques and tools can help operators understand the alarm information and make timely responses. Aiming at the shortcomings and deficiencies of existing visualization techniques

such as the insufficient resources utilization

unclear alarm priority and incomplete alarm root-cause analysis

four novel visualization tools are proposed

namely information fusion based interpretative structural modelling (static and dynamic)

hierarchical high density alarm plot

hierarchical priority color plot and performance level trend plot

to achieve the goals of process hierarchical model construction

alarm root-cause analysis

nuisance alarms identification

alarm prioritization and alarm system performance periodic assessment separately. As a case example

Tennessee Eastman process is utilized to show the practicality and effectiveness of the proposed visualization techniques and tools. They can not only provide the overview of original alarm information but also quickly identify the alarm root-cause

key alarms

nuisance alarms and alarm system performance level. The efficient monitoring has been realized and alarm floods has been resolved to a certain extent.