Building information modeling–based cyber-physical platform for building performance monitoring

Abstract

Building performance management requires massive data input; however, the relevant data are separated and heterogeneous; thus, it prevents a comprehensive building performance management. Building information modeling brings a new way to capture rich information of a building, and has great potential in data interoperability for building performance management. This article presents a scalable building information modeling–based cyber-physical platform for building performance monitoring to integrate heterogeneous data from different buildings. A smart sensor network based on Arduino and standard protocol is installed for data sensing and collection. A building information modeling–based sensing information model integrating heterogeneous data in a unified structure is proposed, and a scalable NoSQL database is established to store data in a cloud environment. A series of RESTful web services is developed to share data for building performance management applications. The proposed platform is developed taking the advantage of horizontal scalability of NoSQL database, and the data schema and services are generated automatically based on the unified data model. The platform has collected data from 77 buildings in China, and the results of a case study show the platform brings a new paradigm in collecting, storing, integrating, and sharing of sensor data and building information for building performance monitoring and analytics.

Computer Vision-Based Construction Process Sensing for Cyber–Physical Systems: A Review

“…The information obtained by the sensing system in the CPS is visualized in the BIM and stored in the corresponding digital model. The integration of BIM into CPS has been demonstrated in several studies [ 28 , 29 , 30 ]. It should be noted that there is a natural rationale for using BIM as the virtual end of CPS.…”

“…As above-mentioned in the literature, currently, CPS is more widely used in domains such as building energy management [ 29 , 48 ]. This is because the research objects in this domain have clear quantitative criteria; the data are computable and can be easily captured by sensors and incorporated into the management of CPS.…”

A Framework for the Automatic Integration and Diagnosis of Building Energy Consumption Data

“…As has been noted previously, multiple data models for the representation of building energy data have been proposed and implemented before, yet this data model has the advantage of the capacity for multi-building and multi-granularity representation, and therefore more suitable for data integration purposes. The design of the data model is in part based on the ontological building energy consumption data representation by Zhang et al [ 45 ] Implementations of the framework could store the data in either relational databases or NoSQL databases depending on application scenarios. In general, relational databases are more intuitive and preferable in lightweight applications.…”

“…As has been noted previously, multiple data models for the representation of building energy data have been proposed and implemented before, yet this data model has the advantage of the capacity for multi-building and multigranularity representation, and therefore more suitable for data integration purposes. The design of the data model is in part based on the ontological building energy consumption data representation by Zhang et al [45] Implementations of the framework could store the data in either relational databases or NoSQL databases depending on application sce- The type system is composed of three entities forming a single inheritance line. The base entity, unit, is an interface entity representing the type system containing a dimension array under the SI system (International System of Units, SI abbreviated from French Système International), and is inherited by the SIUnit entity, representing units that are decimal exponents under the SI system, such as joule, ton, cubic meter, etc.…”

Bibliometric review of visual computing in the construction industry

“…Meanwhile, some works aim to solve technical problems when using BIM, such as enhancing the information exchange process [34], information integration [35,36], spatial data analysis [37,38], and geometric optimization [39]. Furthermore, some works aim to enhance construction using BIM and other techniques, such as assisting the construction defect management [40], monitoring building performance [41], improving the monitoring of construction supply chain [42], using BIM and 4D to solve structural conflict problems [43,44], and lean production management systems based on BIM [45]. According to Fig.…”