This study provides a preliminary investigation for the definition of the concept of big data in smart homes and its potential limitations and applications. The objectives include defining the concept for Big Data in smart homes, exploring its limitations and examining its applications. The research methodology uses a questionnaire to collect data from the engineering and management divisions of Sunway City Iskander Puteri and Forest City in Johor Bahru, Malaysia. The data obtained was then analyzed and presented using the Statistical Package for Social Sciences (SPSS) and Excel applications. The key factors for the definition, limitation, and application of big data in smart homes were identified using Ranked Importance Index (RII). To determine what a key factor is, hypothetical results and discussion were used to compare the ranked importance of each factor. The findings of this study reveal the necessity for quantifiable parameters in defining big data, limitations such as installation costs, and applications including utility monitoring and safety enhancement. The study's significance lies in informing the construction industry about big data's potential in smart homes, aiding decision-making and resource allocation during construction, operation, and maintenance phases. In conclusion, this study has revealed several key factors in defining big data in smart homes and finding its limitations and applications.

● Led a team of 14 civil engineering students in designing a residential township in Nusajaya, covering earthworks, drainage, and sewerage infrastructure

● Performed cut-and-fill analysis totaling 491,174 m³ cut and 545,787 m³ fill (10.92% excess), and verified slope stability with a Factor of Safety of 1.772 using the Bishop method from JKR Guidelines

● Designed platform levels, cross-sections, and sewerage layout, including pipe sizing (≥225 mm), manhole spacing (50 m), and gradient design (1:150–1:250) using AutoCAD and Civil3D

● Conducted hydrological analysis for peak flow rates based on 9,950 PE, applying MSMA standards for sewer sizing and flow estimation

● Developed Excel models to compute earthwork volumes, slope stability, and peak discharge, ensuring compliance with SPAN, MS1228, and MSMA guidelines 

● Checked the 2D model to determine deflections at specific points using STAAD.Pro

● Evaluated the 3D model to calculate internal forces, live loads, and deformation for key members

● Recommended strategies for reducing deflection in beams and frames through material selection such as CFRP and optimized design techniques such as pre-stressing and load redistribution 

methods, compared nodal displacements and percentage differences.

Conducted a convergence study with FEM software by refining mesh sizes, plotting a displacement vs. node count graph, and determining the minimum node count for accuracy.

Performed a parametric study on varying the height of a rectangular hole affects maximum stresses in a plane structure across multiple cases, using a fine mesh, and discussed findings with figures and graphs 

● Identified over 10 cases of concrete deterioration (cracking, corrosion, honeycombing) at KTHO L01

● Diagnosed causes of deterioration, such as inadequate concrete cover, poor curing, and improper mix design.

● Predicted the potential risks on structural integrity, such as reduced load-bearing capacity, increased vulnerability to environmental factors, and accelerated degradation.

● Recommended solutions such as increased concrete cover, optimized mix design, and regular inspections. 

● Utilized OpenSees software for rigorous structural analysis, including gravity, modal and seismic load assessments for 4,9 and 16-story buildings

● Performed Excel calculations for lateral analysis method on all building types

● Generated axial force, shear force, and bending moment diagrams for critical beams and columns using OpenSees and sketched SFDs and BMDs on AutoCAD

● Compare results between Equivalent Lateral Static Loading and Modal Response Spectra Methods for the first four mode shapes, alongside gravity load analysis, for comprehensive insights of all buildings