Apartment and Housing Defects, Data Analysis, and Management Process Optimization

Abstract

The present invention proposes a system that combines IoT sensors, AI analysis, blockchain, and cloud collaboration technologies to efficiently manage defects occurring in apartments and houses. First, information such as leaks, cracks, temperature, and humidity is collected through IoT sensors, and residents report defects via a mobile app or web portal. The collected data is analyzed by an AI engine to classify defect types and urgency, and the processing history is recorded on a blockchain to manage the history transparently and stably. Construction companies, maintenance firms, managers, and residents coordinate work priorities and share progress in real time through a cloud collaboration module. By utilizing automated processes, defect handling can proceed quickly and systematically. Once the work is completed, residents can review the repair results and provide satisfaction ratings or request rework. This approach helps detect defects early, speed up the resolution process, and prevent recurrence. Furthermore, it enables repair companies and contractors to clearly identify liability and reduce disputes, while also offering the potential for long-term cost savings in maintenance. Ultimately, the goal is to create a safer and more pleasant living environment.

Description

Technology Field

[0001] The present invention relates to a system that systematically collects and analyzes defect data in apartments and houses to identify defect types and frequencies, and enables efficient management of the process from receipt to resolution. In particular, it aims to support residents in resolving problems more quickly by analyzing the causes of defects by region, construction company, and year of construction and establishing an optimized response process.

[0002] This system is designed to enable a more accurate and rapid response by utilizing IoT-based real-time defect detection, AI data analysis, blockchain-based defect history management, and cloud collaboration systems, moving away from existing inefficient defect handling methods. Background Technology

[0004] Defects occurring in apartments and houses vary in characteristics depending on the year of construction, the construction company, and the region. However, most current defect management methods operate based on responses to passive reports from residents, and there is a lack of systematic systems to analyze the causes and trends of defects. Consequently, problems arise such as the inability to prevent recurring defects, slow response times, and management inefficiency.

[0005] The major problems arising from existing defect management methods are as follows.

[0006] Inefficiency in defect reporting and processing

[0007] Residents report defects individually, and in this process, information omissions and duplicate reports occur.

[0008] Urgent defects are often delayed because the types and priorities of defects are unclear.

[0009] The defect handling process is operated inefficiently due to a lack of collaboration between the repair company and the construction company.

[0010] Lack of analysis of defect causes and trends

[0011] The lack of a system to analyze defect occurrence patterns by region, construction company, and year of construction makes it impossible to prevent recurring defects.

[0012] As data is not collected systematically, it cannot be utilized as a resource for improving construction quality and reducing maintenance costs for the construction company.

[0013] Lack of transparent defect handling and liability management

[0014] Since defect reports and processing history are not systematically recorded, the responsibility is unclear when the same defect occurs repeatedly.

[0015] Problems arise where tenants' complaints increase when the response of defect repair companies and construction firms is delayed or inadequate.

[0016] To solve these problems, the present invention aims to develop a system that enables faster and more efficient defect management by systematically collecting and analyzing defect data and designing an optimized defect response process. The problem to be solved

[0017] The present invention aims to establish an optimized defect management process by systematically analyzing defect data occurring in apartments and houses. This facilitates smooth collaboration among tenants, construction companies, and defect repair firms, accelerates the speed of defect resolution, and enables the reduction of long-term maintenance costs.

[0018] The main challenges to be addressed are as follows.

[0019] 1. Establish a system to systematically collect and analyze defect data to identify defect types and frequencies.

[0020] 2. Development of a process to prevent recurring problems by analyzing defect occurrence patterns by region, construction company, and year of construction

[0021] 3. Design of an optimized management system that enables rapid response by automating the process from defect reporting to resolution

[0022] 4. Transparent defect handling and clarification of liability through blockchain-based defect history management means of solving the problem

[0025] The present invention aims to establish an optimized defect management process by systematically analyzing defect data occurring in apartments and houses. This facilitates smooth collaboration among tenants, construction companies, and defect repair firms, accelerates the speed of defect resolution, and enables the reduction of long-term maintenance costs.

[0026] The main challenges to be addressed are as follows.

[0027] Establish a system to systematically collect and analyze defect data to identify defect types and frequencies.

[0028] Development of a process to prevent recurring problems by analyzing defect occurrence patterns by region, construction company, and year of construction

[0029] Design of an optimized management system that enables rapid response by automating the process from defect reporting to resolution.

[0030] Transparent defect handling and clarification of liability through blockchain-based defect history management Effects of the invention

[0032] Through the present invention, by systematically analyzing defect data and establishing an optimized response process, the speed and efficiency of defect handling can be increased and tenant satisfaction can be improved.

[0033] Utilizing this system shortens the processing time after residents report defects, increases the operational efficiency of repair companies and construction firms, and enables managers to reduce long-term maintenance costs. Furthermore, through blockchain-based history management, it is possible to reduce disputes arising during the repair process and ensure transparency by clearly defining liability. Specific details for implementing the invention

[0035] The following describes the specific details for implementing the present invention in detail, step by step. The present invention enables the efficient management of defects occurring in apartments and houses by providing a system that systematically collects and analyzes defect data and automates and optimizes the defect handling process based on this data. Specific components and implementation methods are described by example to aid in understanding the invention, and various modifications or changes are possible.

[0036] First, the entire system is broadly composed of data collection, data analysis, blockchain-based history management, collaboration and management, and an optimized defect response process. In the data collection stage, defect information is secured through IoT sensors and user interfaces. IoT sensors installed throughout the building detect potential defects in real time, such as leaks, cracks, and changes in temperature and humidity, and residents can report defects by attaching photos or videos via mobile or web applications. All of these sensor values ​​and reports are transmitted to a cloud server and stored in an integrated database.

[0037] In the data analysis phase, collected sensor data and user reports are precisely classified and predicted using an AI analysis engine. For example, text and image analysis techniques are utilized to classify defect types into categories such as leakage, cracks, and condensation, and to calculate their severity or urgency. Construction information databases can be used in conjunction to reflect characteristics by contractor, year of construction, and region, thereby identifying recurring defect types or vulnerable points. In this way, defect occurrence patterns by region, contractor, and year of construction are systematically analyzed, contributing to reduced maintenance costs and improved construction quality.

[0038] In the blockchain-based history management stage, the entire process from defect reporting to completion is recorded on the blockchain. Since information such as the type of defect, time of report, repair company, processing schedule, and costs is stored in an immutable form, defect history is managed transparently and securely. This allows for tracing the cause and clarifying liability when the same type of defect recurs, while reducing disputes arising from delayed responses or inadequate handling by repair companies or contractors.

[0039] The collaboration and management phase aims for all stakeholders to share information in real time through a cloud platform. Construction companies, defect repair firms, management offices, and residents can check defect status and progress on a dashboard-style screen according to their respective permissions, and coordinate work priorities. Collaboration functions regarding announcements, scheduling, and billing are also provided via the cloud, enhancing work efficiency. Chat and video conferencing features can be integrated to respond immediately to situations requiring work delays or urgent repairs, and completed defects undergo an inspection process using photos or videos.

[0040] The optimized defect response process comprehensively considers AI analysis results and defect handling history to prioritize the most urgent defects and derive preventive maintenance measures for defect types with a high probability of recurrence. This reduces overall defect resolution time, efficiently allocates repair contractor personnel and materials, and enhances resident satisfaction. After work is completed, the defect resolution process is transparently verified based on blockchain records, and rework or additional measures are carried out if necessary.

[0041] Specifically, IoT sensors include leak detection sensors, crack measurement sensors, and environmental sensors, and can be deployed on equipment lines, walls, or structural parts to detect defects at an early stage. The user (resident) interface is designed as a mobile app or web portal featuring an intuitive UI, allowing users to upload photos and videos and leave brief descriptions when reporting an issue. At this stage, the system extracts key words from the report through text analysis and further identifies the condition of damage or traces of leakage through image analysis.

[0042] Subsequently, data stored on cloud servers is processed by an analysis engine using machine learning or deep learning techniques. The predictive model calculates work priorities by scoring defect types, severity, repair difficulty, and the risk of recurrence. Managers can also visualize how defects are distributed by region, construction company, and year of construction, allowing them to grasp the situation at a glance. For instance, if water leakage frequently occurs in townhouses built by a specific contractor, the cause can be identified, enabling proactive measures such as design improvements or material replacement for future construction.

[0043] The defect reporting and processing is conducted through an automated process. When a defect report is received, the system sends a notification to the relevant personnel at the repair company or construction firm, and assigns it to a priority schedule if the urgency is high. The repair manager accepts the task by entering their available time and personnel, and updates the progress in real-time at the work site via devices such as smartphones. After the work is completed, before-and-after photos or videos are uploaded to the system for inspection by residents and managers.

[0044] Blockchain-based history management is a key element in enhancing the reliability of defect records. A unique identifier is assigned to each defect case to sequentially link and store information such as the time of receipt, cause, handling details, costs, and completion date. While these records can be accessed by authorized stakeholders—including management offices, construction companies, repair firms, and residents—forgery or alteration is extremely difficult. This enables the rapid verification of facts even when disputes arise regarding repair cost claims or construction quality issues.

[0045] In addition to managing announcements and schedules, the collaboration and management module integrates with payment systems to automatically calculate and bill for defect repair costs. It identifies the party responsible for the cost based on whether the defect falls within the warranty period and provides a convenient payment process through electronic payment functions when necessary. Furthermore, it supports the transparent handling of complex defect resolution processes that require simultaneous collaboration among multiple vendors.

[0046] In the future, predictive maintenance capabilities can be further enhanced to anticipate recurring defects and prevent emergencies through pre-inspections. The scope of the system's application can be expanded by diversifying sensor packages to enable easy installation of wireless sensors in older buildings and by developing algorithms capable of handling environments with aging structures. Furthermore, by integrating with smart city infrastructure, the system can analyze building defect data across the entire city as big data and utilize it to formulate efficient architecture and construction policies.

[0047] In summary, the present invention integrates and manages the entire process from the occurrence of a defect to its completion, and enables the rapid and accurate handling of defects by combining blockchain, AI, IoT, and cloud collaboration technologies. This increases resident satisfaction, improves the work efficiency of construction companies and maintenance firms, and, in the long term, reduces maintenance costs and strengthens the stability of the building. Detailed configurations can be modified to suit various architectural environments and situations, and scalability can be enhanced by combining additional sensors or analysis techniques. The significance of the present invention lies in ultimately creating a safer and more pleasant residential environment by ensuring that this entire series of processes takes place in a convenient and transparent environment.

Claims

Claim 1 A defect data analysis and management system for apartments and housing, wherein - when residents and managers report defects, - the relevant data is automatically classified by region, construction company, and year of construction, - an AI-based analysis system evaluates this to identify defect types and frequencies, and - automatically designs an optimized defect handling process.

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