Collaborative information integration for construction safety monitoring

Abstract

Safety monitoring is a critical component of safety management. However, asymmetric safety information and inefficient communication between various stakeholders currently limit the effectiveness of safety monitoring in the construction industry. The aim of this study is to develop a holistic and collaborative information integration framework for safety monitoring that collects, analyzes, and disseminates safety information. The proposed framework provides an interconnecting platform for stakeholder communication consisting of five layers for safety monitoring: preparation layer, monitoring layer, integration layer, reporting layer, and intervention layer. To evaluate the proposed framework, a prototype system was developed and tested as a case study for building projects in Qingdao, China. The results indicate that the proposed framework and prototype were embraced by the stakeholders in the city and contributed to an improved collaborative working environment for safety inspection and monitoring in construction projects.

Leading Indicators—A Conceptual IoT-Based Framework to Produce Active Leading Indicators for Construction Safety

“…The authors of [48] state that safety monitoring is a critical component to safety management and lack of effective communication between project stakeholders is a barrier to its enhancement. They propose a framework to help in the collection and analysis of safety information on-site to be disseminated to the stakeholders and help in communication.…”

Temporal Visual Patterns of Construction Hazard Recognition Strategies

“…Many studies only labelled AOIs according to expert opinions or the subjective opinions of researchers, which implies a further decrease in these indicators' reliability and validity of the studies [16]. In order to overcome the subjectivity problem of traditional AOI pre-definition methods, some studies have also attempted to adopt data-driven AOI definition methods, such as fixation clustering [16,38,39]. However, the AOI based on data-driven determination may be affected by factors such as subjects' cryptic recognition ability and time-varying attention, leading to potential unpredictable accumulation of errors, thus making the blurring of AOI boundaries and the robustness of the associated indicators questionable.…”

“…Examination of the video recordings of visual behavior confirmed the reliability of this statement. In 1974, based on experiments simulating short-term memory impairment, Baddeley and Hitch came up with the concept of working memory as the ability to store information for short periods of time and use the information for cognitive activities such as processing, manipulation, or reasoning when cognitively required [39]. In fact, working memory also belongs to short-term memory, but it emphasizes the association of short-term memory with the job in which the person is currently engaged.…”

The Performance of Safety Implementation Towards Accident Occurrence in Malaysia Construction Industry

“…SMS can be described as a system used to manage and control safety, or it is a management system intended explicitly at safety 32 . A well-planned platform for safety management can promote well-organized information communication between multiple stakeholders, supporting the adoption of a more effective safety management system 33 . For example, subjective data are produced in conventional safety inspections, where the data were influenced by the person who conducts the inspection with standard method using the simple tool for site observations, which generally used in Finnish construction companies, as well as in other EU countries 34 .…”