Concept of operations for data fusion visualization

Situational awareness in the operations and supervision of a industrial system means that decision making entity, whether machine or human, have the important data presented in a timely manner. An optimal presentation of information such that the operator has the best opportunity accurately interpret and react to anomalies due to system degradation, failures or adversaries. Anticipated problems are a matter for system design; however, the paper will focus on concepts for situational awareness enhancement for a human operator when the unanticipated or unaddressed event types occur. Methodology for human machine interface development and refinement strategy is described for a synthetic fuels plant model. A novel concept for adaptively highlighting the most interesting information in the system and a plan for testing the methodology is described

Concept of operations for data fusion visualization

ABSTRACT: Data fusion for process control involves the presentation of synthesized sensor data in a manner that highlights the most important system states to an operator. The design of a data fusion interface must strike a balance between providing a process overview to the operator while still helping the operator pinpoint anomalies as needed. With the inclusion of a predictor system in the process control interface, additional design requirements must be considered, including the need to convey uncertainty regarding the prediction and to minimize nuisance alarms. This paper reviews these issues and establishes a design process for data fusion interfaces centered on creating a concept of operations as the basis for a design style guide. The statement has been made that the human operator should not have to do mental data fusion. A dashboard concept is appropriate until the process becomes large, and the contents expand to a large screen and then to a mural size display. Then the repetition and coverage of the operator scan of the display must be considered. The possibility of coercing the operator with cues about what has not scanned recently is an option. The system and process design must consider as many known attributes as possible. Detailed analyses can be used to prioritize and make available the information. Over time the process operation becomes mature, and risks become well qualified (if not quantified). A resilient architecture allows for refinement to take place with reasonably priced retrofits to the system, instead of living with the existing system or eventually cannibalizing it for newer system designs. An adaptive approach, as identified in this paper, is being examined as a possible step towards a resilient architecture

Concept of Operations for Data Fusion Visualization

Situational awareness in the operations and supervision of a industrial system means that decision making entity, whether machine or human, have the important data presented in a timely manner. An optimal presentation of information such that the operator has the best opportunity accurately interpret and react to anomalies due to system degradation, failures or adversaries. Anticipated problems are a matter for system design; however, the paper will focus on concepts for situational awareness enhancement for a human operator when the unanticipated or unaddressed event types occur. Methodology for human machine interface development and refinement strategy is described for a synthetic fuels plant model. A novel concept for adaptively highlighting the most interesting information in the system and a plan for testing the methodology is described