23.01.2015 Views

A Review of the Event Analysis of Systemic Teamwork Methodology

A Review of the Event Analysis of Systemic Teamwork Methodology

A Review of the Event Analysis of Systemic Teamwork Methodology

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

HFIDTC/WP1.1.3/10<br />

Version 2/ 31 October 2005<br />

Example<br />

The following example is taken from an analysis <strong>of</strong> a switching scenario drawn from <strong>the</strong><br />

civil energy distribution domain (Salmon et al 2004b). The propositional networks<br />

presented in Figure 3-18 to Figure 3-22 present <strong>the</strong> knowledge objects (shaded in red)<br />

identified from <strong>the</strong> corresponding CDM output for that phase. The CDM outputs are<br />

presented in Table 29 to Table 32. The propositional network consists <strong>of</strong> a set <strong>of</strong> nodes<br />

that represent sources <strong>of</strong> information, agents, and objects etc. that are linked through<br />

specific causal paths. From this network, it is possible to identify required information<br />

and possible options relevant to this incident. The concept behind using a propositional<br />

network in this manner is that it represents <strong>the</strong> ‘ideal’ collection <strong>of</strong> knowledge for <strong>the</strong><br />

scenario. As <strong>the</strong> incident unfolds, so participants will have access to more <strong>of</strong> this<br />

knowledge (ei<strong>the</strong>r through communication with o<strong>the</strong>r agents or through recognising<br />

changes in <strong>the</strong> incident status). Consequently, within this propositional network, Situation<br />

Awareness can be represented as <strong>the</strong> change in weighting <strong>of</strong> links. Propositional<br />

networks were developed for <strong>the</strong> overall scenario and also <strong>the</strong> incident phases identified<br />

during <strong>the</strong> CDM analysis. The propositional networks indicate which <strong>of</strong> <strong>the</strong> knowledge<br />

objects are active (i.e. agents are using <strong>the</strong>m) during each incident phase. The light blue<br />

nodes in <strong>the</strong> propositional networks represent unactivated knowledge objects (i.e.<br />

knowledge is available but is not required nor is it being used). The red nodes represent<br />

active (or currently being used) knowledge objects.<br />

Table 29 - CDM Phase 1: First issue <strong>of</strong> instructions<br />

Goal Specification<br />

Cue identification<br />

Establish what isolation <strong>the</strong> SAP at Barking is looking for. Depends on gear<br />

Don’t Believe It (DBI) alarm is unusual – faulty contact (not open or closed)<br />

questionable data from site checking rating <strong>of</strong> earth switches (may be not fully<br />

rated for circuit current – so additional earths may be required.<br />

Check that SAP is happy with instructions as not normal.<br />

Expectancy<br />

Conceptual Model<br />

Uncertainty<br />

Information<br />

Situation<br />

Awareness<br />

Decision expected by DBI is not common.<br />

Recognised instruction but not stated in WE1000 – as <strong>the</strong>re are not too many front<br />

and rear shutters metal clad switch gear.<br />

Confirm from field about planned instruction – make sure that SAP is happy with<br />

<strong>the</strong> instruction.<br />

Reference to front and rear busbars.<br />

WE1000 procedure<br />

Metal clad switchgear<br />

Barking SGT1A/1B substation screen<br />

SAP at Barking<br />

Situation<br />

Assessment<br />

Ask colleagues if needed to<br />

79

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!