Visual Coding of Intents for Safety of Substation Design

Abstract

The automatic safety review of substation design model greatly depends on the formal representation of the safety constraints residing in the building codes written in natural language. In order to overcome the difficulties arising from the hard coding and semantic web approaches, the visual coding method has been studied for representing safety constraints. Nevertheless, very little research explores the formal representation of safety constraints from the query intent viewpoint. Therefore, seven basic query intents are categorized, and simultaneously their mapping with Gremlin query segments is also defined. Then, the visually coding framework is also developed to simplify the representation of query intents. The case study implies that the visual coding of query intents provides an effective and explicit vehicle to describe the safety constraints. In this way, the natural language safety constraints can be automatically converted into Gremlin codes, and moreover the declarative manner of integrating Gremlin queries not only further save time on manually sequencing multiple query tasks, but also can optimize the traversal of graph database.