The steel-structured corridor project of the Industry Innovation Park (IIP) in Beijing adopts an overhanging design with a large size and span. In the demolition stage of the overhanging support, the steel structures will deform. In order to understand the deformation degree of the steel structures in IIP in real time and ensure construction safety, it is necessary to monitor the deformation process of the steel structures. We select the points sensitive to deformation and key parts of the steel structures as monitoring points, and make an automatic deformation monitoring scheme. We use the deformation monitoring system based on measuring robots and Global Navigation Satellite Systems (GNSS) to monitor the steel structures. Then we compare and analyze the deflection values measured by the two monitoring systems. The results from the two monitoring systems are relatively consistent and mutually verify. The results also show that the steel structures are obviously deformed due to the influence of unloading construction. In addition, deflection values obtained by deformation monitoring are compared with the deformation limit of the key steel components derived from the design code. The results show that the deflection values are within a reasonable range, indicating that the construction design of the steel structures in IIP is reasonable and the steel structures are in safe conditions. The deformation monitoring systems based on measuring robots and GNSS technology used in this paper meet the monitoring requirements in the construction phase and can play their value in similar projects.

In general, modern construction projects are characterized by large construction scale, high construction difficulty, and complex project management and data information analysis. Hence, various technologies should be fused and integrated to comprehensively and effectively manage the project construction. In this paper, a multi-source heterogeneous data fusion technology, which combined building information modelling (BIM), geographic information system (GIS), and Internet of Things (IoT) (BIM + GIS + IoT Multi-Source Heterogenous Data Fusion), was systematically explored to achieve a total factor, data sensing, and heterogeneous fusion concept. Then, the BIM + GIS scene-based 3D modelling technology was discussed from three aspects: total factor information 3D modelling, model tiled loading, and ultra-large model lightweight processing. With a tunnel construction project combined, a tunnels Internet-based construction management platform was developed on the basis of BIM + GIS + IoT multi-source heterogeneous production data fusion, thereby realizing the organic integration of virtual model information and total factor production information. Furthermore, the platform provided the capability of monitoring core indexes such as gas, geology, personnel, and progress involved in the tunnel construction, which facilitated the dynamic visual management of the construction process and enhanced management efficiency.

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