ARTIFICIAL INTELLIGENCE AND MOBILE-BASED CONSTRUCTION PROCESS MANAGEMENT APPLICATION

TR202517473A3Pending Publication Date: 2026-06-22MEHMET EMİN POYRAZ
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Patent Information

Authority / Receiving Office
TR · TR
Patent Type
Applications
Current Assignee / Owner
MEHMET EMİN POYRAZ
Filing Date
2025-11-14
Publication Date
2026-06-22
Patent Text Reader

Abstract

The invention relates to an artificial intelligence and mobile-based construction process management application that combines site inspection, work order tracking, and visual recording processes in construction projects into a single system. It enables the creation of location-based tickets (work orders) on the plan, the analysis of uploaded visuals to identify errors and risks, the generation of early warnings using aerial data, the automatic synchronization of offline records, and the secure storage of data using data encryption. This results in a reduction in error rates, time savings, and cost efficiency in construction processes.
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Description

ARTIFICIAL INTELLIGENCE AND MOBILE-BASED CONSTRUCTION PROCESS MANAGEMENT APPLICATION Technical Area The invention is a system for field inspection, used in the fields of construction and facility management. By digitizing reporting, photo and video documentation processes, we can improve job tracking. facilitating, floor plan portable document format (PDF) based on pinning and image processing. cloud-based data storage and role-based systems with early warning and error detection functions. AI provides secure management of project data with access control features. Construction is a mobile-based process management application supported by artificial intelligence (AI). innovative artificial intelligence that enables field and office integration in projects and increases efficiency. It is related to intelligence and mobile-based construction process management applications. The Invention's Infrastructure Construction and facility management sectors; site inspection, work order tracking, visual inspection. documentation, subcontractor coordination and production / manufacturing quality, etc. It simultaneously executes layered processes. These processes have so far been predominantly... segmented software tools, paper forms, email / messaging, instant messaging Data integrity and traceability are managed through applications and classic office software. Persistent structural problems in the areas of scheduling and responsibility sharing. is giving birth. With current technology, field teams usually keep most of the photos in a separate storage area. They keep track of their activities, transmit discovery notes via text messages, and provide location information verbally. They complete the reporting by copy-pasting in the office. Segmented flow, however, can produce multiple inconsistent records for the same event. Time It becomes unclear which record is the last and correct one, and the assignment of responsibility is also unclear. The justification for the delay and the evidentiary value are weakened. 1. Many existing solutions offer direct and precise position pinning on a PDF plan. This is not possible because the images and notes are not associated with the plan coordinates. It becomes difficult to pinpoint the exact location of the missing part, the floor / room relationship, and to establish a connection with the detailed cross-section. This This increases the risk of faulty manufacturing and duplicate labor. Furthermore, in current applications, photos are only stored, their content is controlled by artificial intelligence. It is not analyzed and classified. Thus, cracks, segregation, rust allowance, and safety barrier are identified. The system fails to notice critical signs such as deficiencies or unsuitable scaffolding unless the user notices. It cannot be seen by them. In the construction industry, tasks such as exterior facade work, roofing, concrete pouring, and waterproofing / thermal insulation. Although highly dependent on meteorological conditions, many systems are location-based. It does not integrate weather data into the work schedule. Therefore, data such as precipitation / frost / temperature is not included. These factors lead to unpredictable delays, reduced quality, and additional costs. Another area where challenges are encountered is the field-subcontractor-office triangle. Here too... Communication is often conducted via email and scattered messaging, with push notifications, Functions such as one-click approval / deactivation and on-site photo verification are integrated into a central workflow. Because the data isn't collected, processes slow down, traceability is lost, and delays occur. Subcontractor performance, however, is subject to subjective evaluation. On time. Closed work order rate, frequency of rework, feedback / positive signs received from the field Since objective scores such as these are not generated, contractor selection and reward / deduction The mechanisms require confirmation. Offline operation and automatic resynchronization at construction sites experiencing weak connections. Data loss and duplicate entries (two different versions for the same job) if no timing is required. This can occur. In this case, subsequent mediation can lead to costs and a waste of time. It opens. The problems arising from the inadequacy of current techniques on construction sites are as follows: It can be summarized as follows: 2. Cost increase and budget deviation: Irregular entries and delayed returns. notifications include repeated labor, waste material, and additional shift costs. It increases. • Schedule disruption: Planning without considering weather conditions. Planning can generate compound delays on the critical route and delivery This is causing the work to not be completed by the deadline. • Quality degradation and warranty burden: Failure to analyze visual data, premature This leads to defects that could be detected in the early stages being noticed late. This, in turn... This leads to an increase in repairs covered under warranty in construction projects. • Occupational health and safety (OHS) risks: Working at height, open edges, Although hazards such as unsuitable scaffolding and lack of PPE are visible in the photographs Without automatic detection, it can be overlooked. This often happens in construction. In their respective fields, this results in accidents, disruptions, sanctions, and loss of reputation. • Disputes and legal processes: Timestamped, location-based evidence. Since records containing related and change logs could not be generated, the payment, In disputes such as penalties / bonuses and breach of contract, the probative value is weakened. • Dispersion of corporate knowledge: Teams lose corporate memory at project closure. It cannot be standardized, and the same mistakes will be repeated in subsequent projects. A single... It is very difficult to access the project status report. The invention of an artificial intelligence and mobile-based construction process management application is based on artificial intelligence. portable device (mobile device) running on an (artificial intelligence) kernel It is a digital process management system based on position marking on a plan. (pinning), floor plan on Portable Document Format (PDF) interactive pinning, image processing, and natural language processing language processing) based early warning and recommendation generation, weather data integration (weather data integration), work order / ticket logging, role-based access control, offline operation and synchronization, data backup / restore, audit log, subcontractor performance Many components, such as scoring and management / corporate control panels, are available on a single core. It integrates them into architecture. 3. The invention describes a system that operates between client applications (mobile / desktop) and server components. It is designed on a service-oriented framework. Application programming interface Modular expansion via (UPA – Application Programming Interface) It is suitable. Role-based access control, authentication, audit logging, and data. Encryption (data encryption) are core components. In the invention, tickets, photos and plan-based markings are displayed in offline working mode. It is written to temporary secure storage on the device. When the connection is sufficient. The resynchronization algorithm prevents conflicts by ensuring the latest It applies the record keeping principle. The invention includes floor plan portable document format (PDF) documents. It can be displayed according to the principle of one-to-one page size at the screen scale. The position of the pins is fixed as a reference during zooming in / out and panning. It is protected along its axis. This enables the invention to achieve precise positioning on a floor / room basis. It provides. Each pin within the invention creates a unique, identifiable ticket. The ticket; Title, Description (user input or AI suggestion), Priority, Status, Due Date, The cost includes assigned person / group, visual / audio evidence areas. Tickets are listed. They can be filtered in view, and bulk selection and export can be done with a single click (for example, PDF reports can be generated. Image processing in artificial intelligence and mobile-based construction process management applications. (Image processing) can be used to correct cracks, dents, faulty scaffolding, and missing railings in photographs. Pre-marking for signs such as moisture-related discoloration is automatically considered an invention. This is done by natural language processing. The user can instantly convert voice notes to text. If the user wishes, they can then convert this text... can be added to the ticket description. In addition, the suggestion included in the invention. In the engine section, by learning from similar project records, "suggested in similar situations" The invention can present the user with a list of "process steps". 4. The invention matches location-based weather data with a work schedule. For example... Early warning notification for high rainfall forecast for "exterior plastering and painting" activity. It generates data and offers postponement / rescheduling options. Each ticket (work order) created can be forwarded to the relevant subcontractor in a single transaction. Instant messaging. The last two photos and the plan section are automatically added to the view. Subcontractor "completed". The process is closed with the button; a photo taken instantly is saved as evidence. To the application... Non-member subcontractors can also participate in the process through the standard notification method. In addition, the invention addresses the timely closure and reopening rate of the site and the site itself. It generates a performance score between 0 and 5 based on criteria such as customer satisfaction. The scores are applied corporately. Data is displayed on the landing page in accordance with privacy policies. It can provide fundamental decision support. Users create complete backups of their projects, perform bulk exports (e.g. (compressed file) can be created. Thanks to the interactive pinning and plan sectioning offered by the invention, the wrong location can be identified. intervention reduces duplicate labor and material waste, and ensures quality. The indicators are rising. Image processing and weather data. Thanks to this sharing, early formwork removal, the effect of precipitation and temperature on the exterior facade, and occupational safety and health can be achieved. Critical risks, such as lack of barriers, are proactively flagged so that managers can prioritize and assess impact. It can take action according to its balance. Additionally, the invention allows employers and subcontractors to rate contracts / bonuses / penalties based on a 0-5 score. And processes such as contractor selection are supported by measurable indicators and the market It contributes to discipline. In short, the commercial and industrial impact of the invention can be summarized as follows: • Time: Significant weekly labor savings with single-screen streaming and one-click shutdown. It provides. • Cost: Early detection of duplicate labor / warranty-related expenses. A decrease is being achieved. • Quality: Plan-record integrity and AI monitoring for early detection of defects. This ensures their capture. • Occupational health and safety: Hazard labeling and emergency notification, and accident / stop procedures. It provides a reduction in risk. • Transparency: Data-driven contract and negotiation decisions through objective scoring. It provides an approach. • Scalability: Based on subscription tiers, number of users, and number of plans. It can offer a flexible structure. The invention of an artificial intelligence and mobile-based construction process management application, plan-record. integrity, AI-based analysis, adaptive planning with weather data, offline Durability, proven closure, and objective performance scoring in a single architecture. It combines cost, time, quality, and occupational health and safety (OHS). It measurably improves its balance and, with augmented reality, 3D A modular and sustainable roadmap open to design (3D CAD) integrations. It can offer. In addition, the invention incorporates artificial intelligence and a mobile-based construction process management application. The innovations, features, and advantages it brings to existing products are summarized as follows: They can be listed as follows: • In the plan viewing tools commonly used in the industry, the floors are displayed in three dimensions. separation, 360° rotation and color-coded ticket density It lacks advanced visual analysis capabilities such as display. The invention Its 3D interactive planning infrastructure allows for floor-by-floor analysis and density monitoring. By making clusters easily visible, it saves time in project management. It generates profit and reduces the risk of errors. • Integrating physiological data of field personnel into the workflow. Current solutions are quite limited. The invention's biometric data analysis... The AI ​​module that does this analyzes heart rate and stress levels from the data it receives from smartwatches. By relating indicators to the work schedule, the risks of overload can be identified early. It detects these things. Thus, both security and efficiency increase. • Most planning software used today takes weather information into account. variables such as supply delays or staff shortages affect the work schedule. 6 cannot reflect automatically. The dynamic optimization engine included in the invention, By monitoring these variables in real time, it automatically reorders the work steps and It significantly prevents delay chains. • Manually comparing drone images with BIM models is both time-consuming. It is a receiver, and the margin of error is high. The invention's artificial intelligence-based comparison The system automatically calculates the progress percentage and identifies discrepancies. By marking these, it strengthens quality control processes. • Verification of the compatibility of subcontractor entry and exit times with additional working hours. Most projects are done manually, which leads to discrepancies. Additional work reconciliations are automated with QR / geo-data records in the invention. They are compared. In this way, discrepancies between time and billing are detected immediately. This is being done and notifications are being sent to the manager. • Traceability of additional work approvals kept across scattered communication channels It weakens. The invention is identified by the symbol of a white arrow inside a blue circle. The integrated approval mechanism brings clarity to additional business processes, and all It ensures that both parties see the same data. • Evaluating subcontractor performance based on only limited metrics, This makes it difficult to produce objective results. The invention is AI-powered. The ranking structure analyzes multiple data points such as likes, repeat workmanship, and closing time. This produces more reliable performance scores and is important in supplier selection. It provides an advantage. • Existing process management tools integrated with social content and recommendation engines. the absence of, the establishment of an ecosystem that learns from user behavior It blocks video / photo sharing. The invention's content analytics module blocks video / photo sharing. and by processing user interactions, making accurate company or project recommendations. It offers. • Reminders for incomplete tickets are available upon exiting the construction site boundary. This is a function not found in existing applications. The invention provides geo-fence-assisted warning. the system reminds the user of critical tasks before leaving the field It reduces the risk of delays and increases process continuity. • Many existing solutions focus only on construction sites, therefore shopping malls, the same standard in large-scale facilities such as hospitals, airports, and hotels Maintenance / operational monitoring becomes difficult. The invention is modular and 7 scalable architectures, the same ticketing, analysis and closure in these structures as well. It ensures corporate memory and operational consistency by utilizing its infrastructure. Disclosure of the Invention This detailed explanation covers artificial intelligence and mobile-based construction process management. This is related to the application and is intended solely for the purpose of better understanding the subject. It is explained in a way that will not create any limiting effects. The invention in question; • Site supervision in construction projects, work order creation, deficiency identification and subcontracting artificial intelligence that digitizes contractor performance tracking Supported mobile-based process management system, • Project plans, floor plan, portable document format. (PDF) viewing and pinning these plans Plan management that enables location-based logging using the (pinning) method. module, • Image processing of photos, videos and audio recordings uploaded by users Image processing and natural language processing an artificial intelligence analysis module that analyzes using algorithms, • Large-scale images of the construction site, from a drone (UAV – Unmanned Aerial Vehicle) camera sensor on the Aerial Vehicle (Unmanned Aerial Vehicle) Image acquisition hardware unit that enables the collection of images via, • by the user's mobile phone camera, cameras of mobile devices or close-up manufacturing images obtained with a camera Mobile image acquisition hardware that enables the transfer of images to the system. • each work order (ticket) includes status, priority, description, date, cost, and photo. and a database management system where employee information is stored, • A server operating in the cloud, where data is stored in encrypted form. infrastructure, • Early warning by correlating location-based weather data with business planning and a weather integration module that generates planning recommendations, 8. Safety risk or manufacturing defect in images taken by the user in the field. An early warning unit that gives an alert when it is detected. • Role-based system that restricts users' access rights according to their defined tasks. access system, • security module where data is transmitted and stored in encrypted form (data encryption), • Changes made to each record are recorded by time and user ID. audit log, which enables monitoring, • recordings are stored on the device and automatically activated when a connection is established. Updated offline operation and resynchronization (synchronization) infrastructure, • Sending instant notifications to users regarding ticket assignment, approval, or notification module that enables its update, • Subcontractors can respond to incoming work orders with photos, The subcontractor interaction module, which allows the process to be closed with a "completed" confirmation, • A performance scoring system that generates a score between 0 and 5 for each subcontractor. • Administrators to manage project, user, photo and ticket information. the management panel (admin panel) that it uses, • Analytical reporting summarizing project reports, statistics, and alerts. panel, • Backing up, archiving, and restoring data with a PIN if necessary. Backup and data lifecycle unit that enables loading, • floor plan data into a three-dimensional geometric structure (3D geometric model) conversion of this structure's graphics processing unit (GPU – Graphics processing on the Processing Unit (GPU), layers separation, 360-degree rotation operations and ticketing color-coded clustering of density A three-dimensional plan processing module that enables representation using clustering. • PDF (Portable Document Format) or CAD (Computer Aided Design) based plan the three-dimensional reference space of the coordinate system (3D reference space / 3B (reference space) transformation, pin (pointing mark) positions x–y–z assigning coordinates and performing spatial searches between these points. 9. Positioning infrastructure that enables search (spatial search). (3D pinning and layer navigation mechanism) • Bluetooth Low Energy (BLE) from wearable devices Heart rate, stress, and acceleration (accelerometer) are measured via Bluetooth. processing oxygen saturation data and performing workload analysis biometric data evaluation module that performs, • weather APIs (Application Programming Interface / Application Programming Interface) incoming meteorological data, supply chain by processing updates and staff availability, the work schedule Automatic reordering AI optimization core (dynamic) optimization module), • drone (unmanned aerial vehicle – UAV: ​​Unmanned Aerial Vehicle / Unmanned) (Aircraft) image processing using photogrammetry and BIM with the model (Building Information Modeling) Remote field analysis system module (drone-) that enables comparison. BIM comparison module), • GPS (Global Positioning System) module and QR code (Quick Response Code) scanning sensor performs input-output verification via timestamp / a technique that records with a timestamp and compares it with additional processing times verification mechanism module, • Generating metadata for additional job registrations, approval process cryptographic timestamps, cryptographic timestamp / cryptographic saving the confirmation information as a timestamp and JSON (JavaScript Object) storing in a data structure based on Notation / JavaScript Object Notation) Additional job approval module with integrated approval mechanism, • geofence using GPS data from the user's device (geographical fence) creates and controls active work orders when this boundary is crossed. Location-based system that generates alerts for tickets that may be delayed. Reminder module with warning infrastructure, • Analyze user click data, transaction history, and media interactions. clustering algorithms an artificial intelligence content analytics engine that generates recommendations using algorithms Supported recommendation engine, • by processing closing time, repeat work, error frequency, and satisfaction scores Performance evaluation that generates scores using a weighted average method. The core component is the evaluation module. • Ticket-location-sensor systems in large buildings such as shopping malls, hospitals, airports, and hotels. data to a central database A facility management compliance module that creates a maintenance schedule by combining components. • Defined additional work time and personnel parameters, GPS data collected from the field, and Time comparison, which identifies discrepancies by matching time data. Additional work time analysis unit module with algorithm, • processing project datasets in a multidimensional analysis engine, past AI-powered statistics that compares projects and generates customized reports. its core project analysis engine, • Augmented reality and three-dimensional design data (3D) Modular architecture suitable for CAD (Computer Aided Design) integrations. It consists of infrastructure components. How the artificial intelligence and mobile-based construction process management application works; • Creation of project data, 2D / 3D (two-dimensional / three-dimensional) planning infrastructure. preparation and authorization of users,  Defining a new project by the manager,  PDF (Portable Document Format) of floor plans or CAD (Computer Aided Design) uploading to the system  plan coordinate system to 3D reference space conversion and GPU (Graphics Processing Unit / Graphics Processor) (Unit) making it processable,  User roles (administrator, project manager, field engineer, sub-administrator, etc.) (contractor, observer) assignment and levels of authority for each role determination,  Enabling crypto-based authentication and access policies, 11 • Determining 2D / 3D location on the plan and preparing the work order (ticket) the process of creating  Area that appears incorrect / missing in the user's 2D / 3D plan view Marking by pinning method,  Assigning the marked position to x-y-z coordinates and automatically entering it into the system. recording as a ticket (work order),  Add a description, priority information, photo, voice recording, or video to the ticket form. addition; with NLP (Natural Language Processing) Converting the voice note to text.  Recording the information in the relational database and assigning it to the relevant subcontractor, • Performing 3D visualization and density analysis to be carried out,  Layered 3D visualization of floors, zoom in / out and the use of 360° rotation functions,  Display of pins on all floors and color-coded based on ticket count density map with color-coded clustering production,  Pin search, filtering, and inter-layer navigation operations in a 3D scene to be done, • Performing the process of analyzing visual data using artificial intelligence,  with a cell phone camera, mobile device camera or digital camera uploading the photos and videos taken to the system,  The uploaded images are processed using image processing algorithms to be analyzed,  Possible defects such as cracks, insufficient rust allowance, scaffolding errors, and moisture stains automatic marking,  Automatic addition of analysis results to the relevant ticket,  User voice processing with natural language processing module converting the recordings into text and adding them to the ticket, • Collection of biometric data and psychological workload security conducting the evaluation process,  Bluetooth Low Energy (BLE) from the smartwatch through which pulse, stress, acceleration and oxygen saturation data are obtained, 12  The biometric data evaluation module uses this data as workload and task. matching it with performance,  Identifying overload, fatigue, or risky situations,  The findings identified are recorded in field security records and ticket data. automatic addition  This data, along with the work schedule and field conditions, is processed by artificial intelligence. interpreted by to identify the risk of overload and to take a break or generating a warning notification, • Dynamic work schedule with weather, supply and personnel data. performing the optimization process,  weather APIs (Application Programming Interface / Application Programming Interface) measures temperature, humidity, precipitation, wind, etc. data acquisition and matching with project location,  Dynamic, taking into account supply delivery dates and staff availability. Transfer to the optimization module,  Automatic reordering of work steps based on "construction Tetris" logic and updating the critical path,  Generating early warning notifications in case of adverse weather forecasts and “postponement” or offering the options of "rescheduling", • Drone-BIM (Unmanned Aerial Vehicle-Building Information Modeling) Comparative Analysis conducting the field verification process,  Wide-area images of the field using drones (Unmanned Aerial Vehicles) taking,  Uploading images taken from the drone to the system,  Three-dimensional surface modeling of images using photogrammetry algorithms transformation,  three-dimensional surface model of BIM (Building Information Modeling / Building Information Modeling) Comparison of data (Information Modeling) with artificial intelligence,  Automatically identifies discrepancies, incomplete production, and progress percentages. calculation,  The detected differences are marked on the 3D image and recorded in the ticket. transfer, • The process of conducting entry-exit and additional work (supplementary work) compliance checks. to be carried out, 13  QR (Quick Response) code scanning at the security checkpoint or with GPS (Global Positioning System) entry and exit times from the construction site with a timestamp registration,  Additional work tickets are generated using agreed person-hour data. Cross-checking of periods / persons by artificial intelligence and non-conformity Generating a warning upon detection,  Additional work approval with a cryptographic timestamp recording and "white arrow inside a blue circle" in the ticketing interface visually marked with an icon,  Automatic calendar integration for subcontractors and suppliers sending appointment reminders, • Geo-fence based reminder and departure from the site the process of checking and performing the inspection,  Creating virtual boundaries based on the user's device location,  When the limit is exceeded, active or missing tickets are checked Notification of incomplete work, • Performing the process of generating likes, rankings, and recommendations.  Users and subcontractors giving their satisfaction with the quality of work and this recording of data,  closing time, repeat workmanship, error frequency, and satisfaction scores Performance is weighted on a scale of 0–5 in the evaluation module. generating the score,  Clustering click and tracking interactions of the content analytics engine By analyzing with clustering algorithms, we identify the right company, project, offering video recommendations,  Displaying ranking results on the homepage and in the catalog, • sending the work order to the subcontractor and completing the process with documented evidence. the process to be carried out  Sending the ticket as an instant notification to the relevant subcontractor,  The subcontractor takes a photo from the same location after completing the work providing evidence and verifying it by comparing it with previous records,  The subcontractor closes the ticket by pressing the "completed" button and notification to the project manager, 14 • Creating and resynchronizing offline records (synchronization) process,  In case of a weak connection, data is safely stored in the device's memory. hiding,  Automatic synchronization with the cloud database when a connection is established. and to prevent conflicts caused by duplicate entries, • the process of operating corporate reporting and facility management scenarios execution,  In buildings, tickets, location data or data received from sensors are centralized into data centers. Creating a maintenance schedule by integrating it with the central database,  The project analysis engine compares past projects on a monthly or... producing annual statistics and special reports, • ensuring data security and lifecycle management to be done,  All records are protected using encryption (data encryption) methods.  Each change is recorded in the audit log with user and time information. recording,  Taking a full project backup, data remaining for a certain period after the subscription ends. storage and automatic deletion,  Restoration can be performed using a PIN (password) upon request. • Monitoring and analysis are performed via the control panel. to be carried out,  The number of open, completed, or overdue tickets in the admin panel, Summary of weather alerts and performance scores,  Graphical representation of areas with high risk density and 3D supported by visuals,  Augmented reality and 3D CAD (Computer Aided Design) Managing the (Aided Design) modules from the same panel, • Performing the process of realizing the benefits provided by the system,  Ensuring the integrity of plans, site records, and work orders within a single architecture,  Error detection, suggestion generation, and program optimization using artificial intelligence. automation,  Maintaining offline data consistency and demonstrable closing discipline continuation,  Performance evaluation should be done with objective metrics and the supplier supporting the election,  Ensuring data security includes the process steps. All technical and other specifications mentioned in each request are followed by a reference number. This reference number is provided solely to facilitate understanding of the requests. They have been used, therefore this reference number is for illustrative purposes only. It should not be assumed that the scope of the element indicated is limited. A technical expert can assess the novelty of the invention and similar structures. by using and / or demonstrating this structure in the relevant technique It is clear that this can be applied to other fields with similar purposes. Therefore, such a It is also obvious that these structures will lack the criterion of surpassing innovation. 16

Claims

1. The invention relates to an artificial intelligence and mobile-based construction process management application. Its characteristic is; • Site supervision in construction projects, work order creation, deficiency identification and subcontracting artificial intelligence that digitizes contractor performance tracking Supported mobile-based process management system, • Project plans, floor plan, portable document format. (PDF) viewing and pinning these plans Plan management that enables location-based logging using the (pinning) method. module, • Image processing of photos, videos and audio recordings uploaded by users Image processing and natural language processing an artificial intelligence analysis module that analyzes using algorithms, • by the user's mobile phone camera, cameras of mobile devices or close-up manufacturing images obtained with a camera Mobile image acquisition hardware that enables the transfer of images to the system. • each work order (ticket) includes status, priority, description, date, cost, and photo. and a database management system where employee information is stored, • A server operating in the cloud, where data is stored in encrypted form. infrastructure, • Early warning by correlating location-based weather data with business planning and a weather integration module that generates planning recommendations, • Security risk or manufacturing defect in images taken by the user in the field. An early warning unit that gives an alert when it is detected. • Role-based system that restricts users' access rights according to their defined tasks. access system, • security module where data is transmitted and stored in encrypted form (data encryption), • Changes made to each record are recorded by time and user ID. audit log, which enables monitoring, 17 • The recordings are stored on the device and automatically activated when a connection is established. Updated offline operation and resynchronization (synchronization) infrastructure, • Sending instant notifications to users regarding ticket assignment, approval, or notification module that enables its update, • Subcontractors can respond to incoming work orders with photos, The subcontractor interaction module, which allows the process to be closed with a "completed" confirmation, • A performance scoring system that generates a score between 0 and 5 for each subcontractor. • Administrators to manage project, user, photo and ticket information. the management panel (admin panel) that it uses, • Analytical reporting summarizing project reports, statistics, and alerts. panel, • Backing up, archiving, and restoring data with a PIN if necessary. Backup and data lifecycle unit that enables loading, • floor plan data into a three-dimensional geometric structure (3D geometric model) conversion of this structure's graphics processing unit (GPU – Graphics processing on the Processing Unit (GPU), layers separation, 360-degree rotation operations and ticketing color-coded clustering of density A three-dimensional plan processing module that enables representation using clustering. • PDF (Portable Document Format) or CAD (Computer Aided Design) based plan the three-dimensional reference space of the coordinate system (3D reference space / 3B (reference space) transformation, pin (pointing mark) positions x–y–z assigning coordinates and performing spatial searches between these points. positioning infrastructure that enables search (spatial search) (3D pinning and layer navigation mechanism) • Bluetooth Low Energy (BLE) from wearable devices Heart rate, stress, and acceleration (accelerometer) are measured via Bluetooth. processing oxygen saturation data and performing workload analysis biometric data evaluation module that performs, • weather APIs (Application Programming Interface / Application Programming Interface) incoming meteorological data, supply chain By processing 18 updates and staff availability, the work schedule Automatic reordering AI optimization core (dynamic) It is characterized by containing an optimization module.

2. The invention relates to artificial intelligence and mobile-based construction process management, conforming to claim 1. It is related to the application and its feature is; • Large-scale images of the construction site, from a drone (UAV – Unmanned Aerial Vehicle) camera sensor on the Aerial Vehicle (Unmanned Aerial Vehicle) Image acquisition hardware unit that enables the collection of images via, • drone (unmanned aerial vehicle – UAV: ​​Unmanned Aerial Vehicle / Unmanned) (Aircraft) image processing using photogrammetry and BIM with the model (Building Information Modeling) Remote field analysis system module (drone-) that enables comparison. BIM comparison module), • GPS (Global Positioning System) module and QR code (Quick Response Code) scanning sensor performs input-output verification via timestamp / a technique that records with a timestamp and compares it with additional processing times verification mechanism module, • Generating metadata for additional job registrations, approval process cryptographic timestamps, cryptographic timestamp / cryptographic saving the confirmation information as a timestamp and JSON (JavaScript Object) storing in a data structure based on Notation / JavaScript Object Notation) Additional job approval module with integrated approval mechanism, • geofence using GPS data from the user's device (geographical fence) creates and controls active work orders when this boundary is crossed. Location-based system that generates alerts for tickets that may be delayed. Reminder module with warning infrastructure, • Analyze user click data, transaction history, and media interactions. clustering algorithms an artificial intelligence content analytics engine that generates recommendations using algorithms Supported recommendation engine, 19 • By processing closing time, repeat work, error frequency, and satisfaction scores Performance evaluation that generates scores using a weighted average method. The core module, the evaluation module, • Ticket-location-sensor systems in large buildings such as shopping malls, hospitals, airports, and hotels. data to a central database A facility management compliance module that creates a maintenance schedule by combining components. • Defined additional work time and personnel parameters, GPS data collected from the field, and Time comparison, which identifies discrepancies by matching time data. Additional work time analysis unit module with algorithm, • processing project datasets in a multidimensional analysis engine, past AI-powered statistics that compares projects and generates customized reports. its core project analysis engine, • Augmented reality and three-dimensional design data (3D) Modular architecture suitable for CAD (Computer Aided Design) integrations. It is characterized by the inclusion of infrastructure components.

3. The invention is an artificial intelligence and mobile-based construction process management application. It relates to the working method and its characteristic is; • Creation of project data, 2D / 3D (two-dimensional / three-dimensional) planning infrastructure. preparation and authorization of users,  Defining a new project by the manager,  PDF (Portable Document Format) of floor plans or CAD (Computer Aided Design) uploading to the system  plan coordinate system to 3D reference space conversion and GPU (Graphics Processing Unit / Graphics Processor) (Unit) making it processable,  User roles (administrator, project manager, field engineer, sub-administrator, etc.) (contractor, observer) assignment and levels of authority for each role determination,  Enabling crypto-based authentication and access policies, • Determining 2D / 3D location on the plan and preparing the work order (ticket) the process of creating  Area that appears incorrect / missing in the user's 2D / 3D plan view Marking by pinning method,  Assigning the marked position to x-y-z coordinates and automatically entering it into the system. recording as a ticket (work order),  Add a description, priority information, photo, voice recording, or video to the ticket form. addition; with NLP (Natural Language Processing) Converting the voice note to text.  Recording the information in the relational database and assigning it to the relevant subcontractor, • Performing 3D visualization and density analysis to be carried out,  Layered 3D visualization of floors, zoom in / out and the use of 360° rotation functions,  Display of pins on all floors and color-coded based on ticket count density map with color-coded clustering production,  Pin search, filtering, and inter-layer navigation operations in a 3D scene to be done, • Performing the process of analyzing visual data using artificial intelligence,  with a cell phone camera, mobile device camera or digital camera uploading the photos and videos taken to the system,  The uploaded images are processed using image processing algorithms to be analyzed,  Possible defects such as cracks, insufficient rust allowance, scaffolding errors, and moisture stains automatic marking,  Automatic addition of analysis results to the relevant ticket,  User voice processing with natural language processing module converting the recordings into text and adding them to the ticket, • Collection of biometric data and psychological workload security conducting the evaluation process,  Bluetooth Low Energy (BLE) from the smartwatch through which pulse, stress, acceleration and oxygen saturation data are obtained,  The biometric data evaluation module uses this data to manage workload and workflow. matching it with performance,  Identifying overload, fatigue, or risky situations, 21  The findings identified are recorded in field security records and ticket data. automatic addition  This data, along with the work schedule and field conditions, is processed by artificial intelligence. interpreted by to identify the risk of overload and to take a break or generating a warning notification, • Dynamic work schedule with weather, supply and personnel data. performing the optimization process,  weather APIs (Application Programming Interface / Application Programming Interface) measures temperature, humidity, precipitation, wind, etc. data acquisition and matching with project location,  Dynamic, taking into account supply delivery dates and staff availability. Transfer to the optimization module,  Automatic reordering of work steps based on "construction Tetris" logic and updating the critical path,  Generating early warning notifications in case of adverse weather forecasts and “postponement” or offering the options of "rescheduling", • Drone-BIM (Unmanned Aerial Vehicle-Building Information Modeling) Comparative Analysis conducting the field verification process,  Wide-area images of the field using drones (Unmanned Aerial Vehicles) taking,  Uploading images taken from the drone to the system,  Three-dimensional surface modeling of images using photogrammetry algorithms transformation,  three-dimensional surface model of BIM (Building Information Modeling / Building Information Modeling) Comparison of data (Information Modeling) with artificial intelligence,  Automatically identifies discrepancies, incomplete production, and progress percentages. calculation,  The detected differences are marked on the 3D image and recorded in the ticket. transfer, • The process of conducting entry-exit and additional work (supplementary work) compliance checks. to be carried out,  QR (Quick Response) code scanning at the security checkpoint or with GPS (Global Positioning System) 22 construction sites with timestamps of entry and exit times registration,  Additional work tickets are generated using agreed person-hour data. Cross-checking of periods / persons by artificial intelligence and non-conformity Generating a warning upon detection,  Additional work approval with a cryptographic timestamp recording and "white arrow inside a blue circle" in the ticketing interface visually marked with an icon,  Automatic calendar integration for subcontractors and suppliers sending appointment reminders, • Geo-fence based reminder and departure from the site the process of checking and performing the inspection,  Creating virtual boundaries based on the user's device location,  When the limit is exceeded, active or missing tickets are checked Notification of incomplete work, • Performing the process of generating likes, rankings, and recommendations.  Users and subcontractors giving their satisfaction with the quality of work and this recording of data,  closing time, repeat workmanship, error frequency, and satisfaction scores Performance is weighted on a scale of 0–5 in the evaluation module. generating the score,  Clustering click and tracking interactions of the content analytics engine By analyzing with clustering algorithms, we identify the right company, project, offering video recommendations,  Displaying ranking results on the homepage and in the catalog, • sending the work order to the subcontractor and completing the process with documented evidence. the process to be carried out  Sending the ticket as an instant notification to the relevant subcontractor,  The subcontractor takes a photo from the same location after completing the work providing evidence and verifying it by comparing it with previous records,  The subcontractor closes the ticket by pressing the "completed" button and notification to the project manager, • Creating and resynchronizing offline records (synchronization) process, 23  In case of a weak connection, data is safely stored in the device memory. hiding,  Automatic synchronization with the cloud database when a connection is established. and to prevent conflicts caused by duplicate entries, • the process of operating corporate reporting and facility management scenarios execution,  In buildings, tickets, location data or data received from sensors are centralized into data centers. Creating a maintenance schedule by integrating it with the central database,  The project analysis engine compares past projects on a monthly or... producing annual statistics and special reports, • ensuring data security and lifecycle management to be done,  All records are protected using encryption (data encryption) methods.  Each change is recorded in the audit log with user and time information. recording,  Taking a full project backup, data remaining for a certain period after the subscription ends. storage and automatic deletion,  Restoration can be performed using a PIN (password) upon request. • Monitoring and analysis are performed via the control panel. to be carried out,  The number of open, completed, or overdue tickets in the admin panel, Summary of weather alerts and performance scores,  Graphical representation of areas with high risk density and 3D supported by visuals,  Augmented reality and 3D CAD (Computer Aided Design) Managing the (Aided Design) modules from the same panel, • Performing the process of realizing the benefits provided by the system,  Ensuring the integrity of plans, site records, and work orders within a single architecture,  Error detection, suggestion generation, and program optimization using artificial intelligence. automation,  Maintaining offline data consistency and demonstrable closing discipline continuation,  Performance evaluation should be done with objective metrics and the supplier supporting the election, 24  Ensuring data security involves procedural steps.