System for adaptive real-time planning in construction projects using feedback from the construction site and production

Abstract

A system (100) for adaptive real-time planning in construction projects using location and production feedback, wherein the system comprises: a data acquisition module configured to capture real-time data from construction site sensors, IoT-enabled devices, construction machinery, workforce systems, and material supply updates; a central processing engine configured to analyze deviations between planned schedules and actual site performance using adaptive planning algorithms; an intelligent feedback loop that integrates qualitative input from site managers, engineers and project managers to refine planning decisions; a visualization and dashboard module configured to display updated schedules, resource allocations, predictive alerts, and progress indicators in real time; and an integration and communication module configured to synchronize adaptive schedules with existing construction project management platforms, The system continuously updates and optimizes the schedules of construction projects to improve efficiency, resource utilization, and on-time completion.

Description

[0001] The present invention relates to the field of construction project management systems. More precisely, it is an adaptive, real-time planning system that integrates on-site conditions and feedback from production. The invention enables dynamic adjustments to project schedules, thereby improving efficiency, resource utilization, and on-time completion.

[0002] In construction projects, delays, cost overruns, and inefficient resource utilization are common challenges arising from static planning methods. Traditional planning tools often fail to reflect real-time on-site conditions, such as weather, labor availability, equipment failures, or unexpected changes in material supply. As a result, project managers struggle to meet schedules and budgets, leading to decreased productivity and customer dissatisfaction.

[0003] Traditional project management systems rely heavily on predefined schedules and manual updates, lacking the flexibility to adapt to sudden changes. These limitations lead to a discrepancy between planned progress and actual on-site performance. Without precise synchronization between on-site activities and project schedules, decision-making becomes reactive rather than proactive, increasing the risk of delays and wasted resources.

[0004] To solve these problems, an intelligent planning system is needed that continuously integrates construction site data and production feedback. Through real-time monitoring and dynamic replanning, such a system can optimize resource allocation, minimize downtime, and improve project execution efficiency. This problem-solving approach ensures that construction projects are more adaptable and resilient, and better aligned with the actual conditions on site.

[0005] One objective of the present disclosure is to provide an adaptive real-time planning system that dynamically adjusts the schedules of construction projects.

[0006] Another objective of this disclosure is to minimize delays and improve project execution by incorporating live feedback from the construction site and production.

[0007] Another objective of the present disclosure is to optimize the utilization of labor, equipment and materials through intelligent allocation.

[0008] Another objective of the present disclosure is to improve decision-making by generating predictive alerts and risk forecasts.

[0009] Another objective of the present disclosure is to reduce the dependence on manual rescheduling and reactive planning methods.

[0010] Another objective of this disclosure is to ensure seamless integration into existing construction project management platforms.

[0011] Another objective of this disclosure is to improve transparency, communication and cooperation between all project participants.

[0012] Another objective of this disclosure is to improve the overall efficiency, cost-efficiency, and timely completion of the project.

[0013] The present invention is generally an adaptive, real-time planning system for construction projects. It integrates location data, production feedback, and intelligent algorithms. This ensures that schedules remain accurate, flexible, and adapted to the actual conditions on site.

[0014] One embodiment of the present invention comprises a data acquisition module that collects real-time inputs. These include site conditions, equipment usage, workforce presence, and material deliveries. The collected data forms the basis for adaptive planning.

[0015] Another embodiment of the invention comprises a central processing engine. This engine analyzes deviations between planned schedules and actual construction site performance. It generates optimized schedules and task sequences to avoid delays.

[0016] Another embodiment of the invention is an intelligent feedback loop. This allows supervisors, engineers, and managers to add qualitative input. This ensures that planning decisions are context-based and not solely data-driven.

[0017] Another embodiment of the invention is a visualization and user interface dashboard. It displays adaptive Gantt charts, alerts, and resource allocation maps. Project stakeholders can monitor progress and risks in real time.

[0018] Another embodiment of the invention is an integration and communication module. This module can be seamlessly integrated into existing project management software. It ensures a smooth implementation without disrupting established workflows.

[0019] Another embodiment of the invention is a predictive analytics function. It forecasts potential bottlenecks, plant downtime, or material shortages. This enables managers to make proactive and informed decisions.

[0020] Another embodiment of the invention is an adaptive, closed-loop planning system. It continuously synchronizes planned tasks with the actual conditions on site. The system increases efficiency, reduces costs, and ensures on-time project completion.

[0021] The present invention relates to a system for adaptive, real-time scheduling in construction projects using site and production feedback, designed to overcome the inefficiencies of static scheduling methods. The system integrates advanced data acquisition tools, analytics, and scheduling algorithms to dynamically update project schedules based on real-time input from the construction site. By utilizing site data such as labor productivity, equipment utilization, weather conditions, and material delivery status, the invention ensures that project schedules remain accurate and reflect actual progress.

[0022] The core of the invention is a data acquisition module that gathers feedback from various sources, including IoT-enabled devices, sensors, construction machinery, worker attendance systems, and project management applications. This information is continuously fed into a central processing unit that applies adaptive planning algorithms. These algorithms analyze deviations between planned and actual progress, predict potential delays, and recommend optimized schedule adjustments to meet project timelines and ensure resource efficiency.

[0023] The system also features an intelligent feedback loop, allowing on-site supervisors, engineers, and project managers to input qualitative assessments such as safety concerns, workforce skill levels, or unforeseen obstacles. This feedback complements the quantitative site data, creating a holistic view of project performance. Through this mechanism, the system reduces reliance on manual replanning and provides decision-makers with actionable insights in real time.

[0024] A user interface and visualization dashboard form another key element of the invention, enabling project stakeholders to view adaptive schedules, resource allocations, and risk forecasts in real time. The interface offers dynamic Gantt charts, progress indicators, and predictive alerts to help managers take proactive action. Integration with existing construction management software ensures seamless implementation without disrupting ongoing workflows.

[0025] Overall, the invention transforms the scheduling of construction projects from a rigid, static process into a flexible, adaptive, and data-driven system. By continuously synchronizing planned tasks with actual on-site conditions, delays are reduced, productivity is increased, resource utilization is optimized, and the overall project outcomes are improved.

[0026] The invention is explained again below with reference to the figure. This shows: Fig. : a system (100) for adaptive real-time planning in construction projects using location and production feedback

[0027] Fig.Figure 100 illustrates a system (100) for adaptive real-time planning in construction projects using site and production feedback. The proposed system's operation begins with the data acquisition module, which continuously collects information from site sensors, IoT-enabled devices, construction machinery, worker attendance systems, and supply chain updates to capture real-time conditions. This data is transferred to the central processing engine, where adaptive planning algorithms analyze deviations between planned schedules and actual site performance, predict potential risks, and generate optimized task flows.The intelligent feedback loop further refines this process by incorporating qualitative input from site managers, engineers, and project managers regarding safety concerns, skills gaps, or unforeseen challenges on the construction site, ensuring that decision-making is both data-driven and contextual. The results are then fed into the visualization and user interface dashboard, which displays dynamic Gantt charts, updated resource allocation maps, and predictive alerts for delays or bottlenecks, enabling stakeholders to take immediate corrective action. The system also includes an integration and communication module that connects to existing construction management platforms, ensuring seamless interoperability and coordinated updates for all project teams.Together, these modules work in a closed loop, providing a fully adaptive planning environment that adjusts in real time to changing site conditions and production feedback.

Claims

[1] A system (100) for adaptive real-time planning in construction projects using location and production feedback, wherein the system comprises: a data acquisition module configured to capture real-time data from construction site sensors, IoT-enabled devices, construction machinery, workforce systems, and material supply updates; a central processing engine configured to analyze deviations between planned schedules and actual site performance using adaptive planning algorithms; an intelligent feedback loop that integrates qualitative input from site managers, engineers and project managers to refine planning decisions; a visualization and dashboard module configured to display updated schedules, resource allocations, predictive alerts, and progress indicators in real time; and an integration and communication module configured to synchronize adaptive schedules with existing construction project management platforms, The system continuously updates and optimizes the schedules of construction projects to improve efficiency, resource utilization, and on-time completion. [2] System (100) according to claim 1, wherein the data acquisition module further comprises IoT-based sensors to monitor the performance of the equipment, the environmental conditions and the presence of employees. [3] System (100) according to claim 1, wherein the central processing engine uses predictive analytics to predict potential project delays, bottlenecks or material shortages. [4] System (100) according to claim 1, wherein the intelligent feedback loop integrates both quantitative location data and qualitative assessments, thus ensuring context-related decision-making. [5] System (100) according to claim 1, wherein the visualization and dashboard module generates dynamic Gantt charts, heatmaps and real-time performance indicators for review by the stakeholders. [6] System (100) according to claim 1, wherein the integration and communication module enables interoperability with third-party construction management tools via standardized APIs. [7] System (100) according to claim 1, wherein predictive alerts generated by the system inform stakeholders of potential risks via automated messages, emails or mobile notifications. [8] System (100) according to claim 1, wherein the system operates in a closed control loop and continuously synchronizes planned schedules with the actual feedback on site. [9] System (100) according to claim 1, wherein the adaptive planning algorithms are configured to dynamically reallocate manpower, equipment and materials based on real-time project requirements.

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