Safety Historical Data Component

The idea behind expert systems is the ability to learn from others experience. Successful safety systems are those systems, which can learn from others (with accepted response time) with intelligent behavior. Most of the real time applications are linked to historical data sources (i.e. databanks), which contain historical and summary data (useful information from previous experience), to improve their efficiency. 

Procurement Spec. Process Design Plant Information Event Information 

Construction Spec. Operation Spec. Cause Consequence 

Shipment Spec. Storage Spee. Environment Failure Hierarchy 

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Safety historical data has been highlighted as part of the conceptual plant safety model. Figure 3-11 showed the detailed data groups of safety historical data component where safety historical data is divided into two parts plant specifications, which covers all specification changes due to design, operation, or any other process throughout the plant lifecycle and accident/incident data, which includes plant, events, process, equipment, cause, consequence, and procedures in-place. 

Input data for preparation of the PHL include project description documents (narrative descriptions, sketches, preliminary drawings, artists concepts, drawings or photographs of existing similar products, and analytical trees), historical data (safety, reliability, and loss data and accident reports from similar end products and/or components), and any other relevant studies or research. 

At this stage, the root of the problem is identifled and the possible consequences are predicted and complemented with any historical data available. The consequences are considered for four major categories (personnel, environment, equipment and operation). At this point, it is determined how the failure of a component will affect the safety and integrity in terms of these four categories. 

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