Intelligent construction management platform for city updating

Abstract

The invention, which relates to the technical field of mineral product screening, discloses an intelligent construction management platform for city updating, comprising the following steps: establishing a unified data standard and a data interface protocol to ensure that data of different systems, departments and enterprises in the platform can be seamlessly jointed; according to the invention, through unifying the data standard and the interface protocol, data sharing of different systems is realized, and project management efficiency and decision accuracy are improved. The real-time data acquisition and intelligent analysis technology enhances the safety monitoring and intelligent early warning functions, and ensures that potential safety hazards in the construction process are recognized and processed in time. Meanwhile, the flexibility and the emergency response capability of the project are improved by a dynamic adjustment and intelligent early warning mechanism, resources and construction plans can be automatically adjusted in the progress of the project, emergency problems can be dealt with, progress delay and resource waste are reduced, and smooth progress of the project is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of urban construction management, and in particular to a smart construction management platform for urban renewal. Background Art

[0002] The smart construction management platform for urban renewal is a system platform that integrates modern information technology, intelligent equipment, and construction engineering management methods. It aims to optimize the entire process of building design, construction, operation, and maintenance in urban renewal projects through digital means. The platform leverages technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI), and Building Information Modeling (BIM) to centrally manage and monitor all resources, information, personnel, equipment, and other elements involved in urban renewal in a real-time manner. Through an intelligent decision-making support system, the platform provides efficient decision-making advice, predictive analysis, and optimization solutions during project planning, design, construction, and post-operation and maintenance phases, improving the efficiency, quality, and safety of the construction process, reducing resource waste, and promoting the sustainable development of urban space. Its core purpose is to achieve intelligent, transparent, and coordinated urban construction management, and to promote the efficient implementation and intelligent management of urban renewal.

[0003] The existing technology has the following shortcomings: In the existing smart construction management platform for urban renewal, data silos and information asymmetry are a potentially serious problem. Urban renewal projects involve data interaction between multiple different departments, enterprises, and technical systems. However, due to the lack of unified data standards and interoperability between platforms, different participants are unable to share key information in real time, such as project progress, resource utilization, and safety status. This information fragmentation can lead to incorrect decisions, waste of resources, and even the neglect of safety hazards. For example, if safety issues in the construction process are not promptly communicated to relevant personnel through the platform, it may cause safety accidents on the construction site, resulting in casualties and project suspension, seriously affecting the progress of urban renewal and the safety of residents. Although this problem is not easy to detect in the early stages, once it occurs, it will pose a great threat to the smooth progress of the project and the safety of urban residents.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent construction management platform for urban renewal, which realizes data sharing among different systems through unified data standards and interface protocols, thereby improving project management efficiency and decision-making accuracy. Real-time data acquisition and intelligent analysis technology enhance safety monitoring and intelligent early warning functions, ensuring that potential safety hazards during the construction process are identified and handled in a timely manner. At the same time, dynamic adjustment and intelligent early warning mechanisms enhance the flexibility and emergency response capabilities of the project, and can automatically adjust resources and construction plans during the project progress, ensuring that unexpected problems can be dealt with, reducing schedule delays and resource waste, and ensuring the smooth progress of the project, so as to solve the problems in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a smart construction management platform for urban renewal, comprising the following steps:

[0007] Establish unified data standards and data interface protocols to ensure seamless integration of data from different systems, departments, and enterprises within the platform;

[0008] Collect and update key information in urban renewal projects in real time, including project progress, resource utilization, construction quality and safety status, and generate detailed data records;

[0009] Upload the collected key information to a unified management platform, and use the platform to centrally store and manage data;

[0010] Use intelligent analysis algorithms to analyze real-time data stored in the platform to promptly identify potential risk factors and safety hazards;

[0011] Generate early warning reports based on analysis results and automatically push them to relevant departments and personnel to ensure uninterrupted information transmission and avoid the occurrence of data silos;

[0012] Based on the early warning report and relevant data, specific adjustment measures are formulated and project progress is updated in real time to ensure that the project proceeds as planned, guarantee construction safety and the smooth implementation of urban renewal.

[0013] Preferably, unified data standards and data interface protocols are implemented by adopting interface technology based on standardized communication protocols, ensuring seamless data interaction between departments, enterprises and technical systems, and real-time synchronous update of data to ensure that project-related information can remain consistent throughout the life cycle of the urban renewal project; data standards include but are not limited to project progress, resource utilization, equipment status, construction quality and safety monitoring data, and the unified interface protocol requires all systems to exchange data in a predetermined format to facilitate information sharing and transmission between different systems.

[0014] Preferably, the collection of key information is monitored in real time through various intelligent sensing devices to ensure that the collected information is real-time and highly accurate; intelligent sensing devices can detect and record data during the construction process, and the intelligent equipment management system monitors the use of equipment in real time to avoid equipment failure or waste of resources.

[0015] Preferably, the intelligent analysis algorithm includes a risk assessment model based on machine learning and artificial intelligence, which can analyze project data from various links in real time and automatically generate a risk assessment report based on the analysis results.

[0016] Preferably, the early warning report further includes solutions and handling suggestions for specific problems based on the analysis results. The solutions and suggestions can ensure that the problems are responded to and handled in a timely manner and effectively through collaboration with relevant departments and managers. The early warning report can not only point out the severity of potential problems, but also clarify the responsibilities and emergency measures of relevant personnel to reduce delays in project progress.

[0017] Preferably, an intelligent analysis algorithm is used to analyze the real-time data stored in the platform to promptly identify potential risk factors and safety hazards. The specific steps are as follows:

[0018] Based on the project's historical data and real-time collected data, a multi-dimensional risk prediction model is established. Through time series analysis and neural network algorithms, the risk coefficient of the construction link is dynamically calculated. The risk coefficient calculation expression is as follows:

[0019]

[0020] , where R is the risk factor, w i is the weight coefficient of the i-th data item, x i (t) is the value of the i-th data item at time t, and n is the total number of data items;

[0021] In the prediction process, considering the interactive influence of multiple factors, a risk level is assigned to each link based on the risk coefficient. The risk level calculation formula is as follows: L = f(R), where L is the risk level and f(·) is the risk assessment function;

[0022] Based on the risk level L, a risk warning is automatically generated and pushed to relevant personnel to ensure timely processing.

[0023] Optimally, adjustment measures are based on the dual considerations of project progress and safety management, and the project construction plan and resource allocation are updated in real time. Adjustment measures include the rearrangement and optimization of construction personnel, equipment, and materials to ensure that all resources are used efficiently and avoid waste during project execution.

[0024] Adjustment measures also include detailed investigations of problems that arise during the construction process to ensure that all problems are resolved in a timely manner and the project progress is not affected. After receiving early warning reports, the automated scheduling system can automatically adjust resource allocation and update project progress information on the platform in real time to ensure that resource utilization in each link is in line with project goals and expectations.

[0025] Preferably, an early warning report is generated based on the analysis results and automatically pushed to relevant departments and personnel to ensure uninterrupted information transmission and avoid the occurrence of data silos. The specific steps are as follows:

[0026] Based on the progress data and resource usage of each link of the project, the resource consumption rate and progress deviation of each link are calculated. The calculation expressions of resource consumption rate and progress deviation are as follows:

[0027]

[0028] , where C is the resource consumption rate and P is the schedule deviation;

[0029] Calculate the comprehensive risk coefficient, taking into account the mutual influence of resource consumption and schedule deviation. The comprehensive risk coefficient is calculated as follows: F = α·C + β·P, where F is the comprehensive risk coefficient, α is the weight of the impact of resource consumption on project risk, and β is the weight of the impact of schedule deviation on project risk.

[0030] If F exceeds the preset risk threshold, an early warning is triggered, and the emergency measures that need to be taken are determined based on the value of F, and relevant personnel are notified via push notification for timely processing.

[0031] Preferably, the management platform has a multi-level structure and is equipped with a user authority control module that can assign different permissions to users of different roles to ensure that each user can only access the key information required for their work; the module ensures security and data privacy through identity authentication and role recognition technology;

[0032] The permission control module also includes an audit function that can record each user's operation log and track and record all important operations for subsequent audits and problem tracing.

[0033] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0034] The present invention achieves seamless data connection and real-time sharing between different systems by establishing unified data standards and interface protocols. With the help of this technology, project managers can view key information of each link in real time on the platform, such as construction progress, resource usage, equipment status and safety monitoring data. The unified data platform eliminates the problem of information islands and avoids decision-making errors caused by information gaps or delays. This measure not only improves managers' visibility into project progress, but also provides a solid data foundation for accurate scheduling and resource allocation of projects. Through intelligent analysis and data-driven decision support, managers can promptly identify potential risks in the project and make accurate decisions, thereby avoiding project schedule delays, waste of resources and safety accidents, and improving overall management efficiency.

[0035] The present invention enhances the intelligence level of project safety management through real-time data collection and intelligent analysis technology. By deploying intelligent sensing equipment and monitoring systems at the construction site, the platform can obtain real-time data on the structural safety of the building, environmental changes, personnel location, and equipment operating status. These data are processed by the platform's intelligent analysis algorithm, which can identify potential safety hazards that may arise during the construction process in real time. With the help of artificial intelligence and machine learning technology, the platform can predict potential risks and issue early warning information before problems occur, ensuring that managers can take emergency measures at the first time. In addition, the platform's intelligent early warning system not only improves the on-site safety management capabilities, but also reduces the deviation of human judgment, improves the accuracy of safety management, and ensures the safety of personnel and project quality during the construction process.

[0036] The present invention significantly enhances the flexibility and emergency response capabilities of project management through dynamic adjustment and intelligent early warning mechanisms. During the progress of a project, external factors or emergencies may cause construction progress to lag or resource allocation to be unbalanced. Traditional project management methods often rely on manual intervention and empirical judgment, making it difficult to make timely adjustments. However, the present invention uses the platform's intelligent algorithm to automatically adjust construction plans, resource allocation, and personnel arrangements based on real-time data and risk assessment results. By analyzing changes in factors such as project progress and resource usage, the system can automatically generate adjustment plans to ensure that the project can respond in a timely manner when problems arise, reducing progress delays and waste of resources. In addition, the platform can also provide emergency response plans based on safety hazards and equipment failures to ensure that the construction site can quickly resume normal operations. This flexible adjustment mechanism significantly improves the project's ability to respond to unforeseen problems and ensures the efficient execution and smooth completion of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction to the drawings required for use in the embodiments will be given below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0038] Figure 1 This is a method flow chart of a smart construction management platform for urban renewal in the present invention. DETAILED DESCRIPTION

[0039] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art.

[0040] The present invention provides Figure 1 The smart construction management platform for urban renewal shown in FIG. includes the following steps:

[0041] Establish unified data standards and data interface protocols to ensure seamless integration of data from different systems, departments, and enterprises within the platform;

[0042] Unified data standards and data interface protocols are achieved through the use of interface technology based on standardized communication protocols, ensuring seamless data interaction between departments, enterprises and technical systems, and real-time synchronous updating of data to ensure that project-related information can remain consistent throughout the life cycle of the urban renewal project; data standards include but are not limited to project progress, resource utilization, equipment status, construction quality and safety monitoring data. The unified interface protocol requires all systems to exchange data in a predetermined format to facilitate information sharing and transmission between different systems.

[0043] When implementing the above methods, data standards further include specific requirements for different project stages, such as the building information model (BIM) data format in the design stage, the real-time monitoring data flow in the construction stage, and the equipment management data specifications in the maintenance stage, so that information from different stages can be interoperable and seamlessly connected, realizing data sharing and management throughout the entire process.

[0044] Collect and update key information in urban renewal projects in real time, including project progress, resource utilization, construction quality and safety status, and generate detailed data records;

[0045] The collection of key information is monitored in real time through various intelligent sensing devices, drones, surveillance cameras, GPS positioning systems, and intelligent equipment management systems to ensure that the collected information is real-time and highly accurate; intelligent sensing equipment can detect and record environmental changes, equipment operating status, personnel location, work progress and other data during the construction process, and the intelligent equipment management system monitors the use of equipment in real time to avoid equipment failure or waste of resources.

[0046] Key real-time monitoring information is uploaded to a cloud-based management platform via wireless networks, ensuring that it is accessible anywhere, allowing project managers to check the latest status of their projects at any time. Real-time data records can be archived and backed up through regular report generation for subsequent traceability and analysis.

[0047] Upload the collected key information to a unified management platform, and use the platform to centrally store and manage data;

[0048] Intelligent analysis algorithms, including risk assessment models based on machine learning and artificial intelligence, analyze project data from all stages in real time and automatically generate risk assessment reports based on the analysis results. These reports, which include potential safety hazards, schedule delays, and uneven resource allocation, are prioritized and delivered to management personnel to help them make timely decisions.

[0049] Machine learning algorithms continuously learn from and accumulate historical data, enhancing their predictive capabilities and decision-making support through continuous updating and optimization. Risk assessment models analyze data across multiple dimensions based on project characteristics (such as project scale and construction difficulty), providing customized risk assessment reports and ensuring effective implementation of project risk management and quality control.

[0050] Use intelligent analysis algorithms to analyze real-time data stored in the platform to promptly identify potential risk factors and safety hazards;

[0051] Based on the analysis results, the early warning report further includes solutions and handling suggestions for the problems. Through collaboration with relevant departments and managers, the solutions and suggestions can ensure that the problems are responded to and handled in a timely and effective manner. The early warning report can not only point out the severity of potential problems, but also clarify the responsibilities and emergency measures of relevant personnel to reduce delays in project progress.

[0052] The platform provides detailed steps for specific issues and proposes feasible solutions based on the actual conditions at the construction site. For example, if a safety hazard is identified in a specific construction phase, the platform can provide relevant personnel with corresponding safety operating procedures, corrective measures, and risk control measures. It can also automatically adjust the warning level based on the on-site situation to further optimize risk management.

[0053] Intelligent analysis algorithms are used to analyze real-time data stored in the platform to promptly identify potential risk factors and safety hazards. The specific steps are as follows:

[0054] Based on the project's historical data and real-time collected data, a multi-dimensional risk prediction model is established. Through time series analysis and neural network algorithms, the risk coefficient of the construction link is dynamically calculated. The risk coefficient calculation expression is as follows:

[0055]

[0056] , where R is the risk factor, w i is the weight coefficient of the i-th data item, x i (t) is the value of the i-th data item at time t, and n is the total number of data items;

[0057] During the prediction process, a risk level is assigned to each link based on the risk coefficient, taking into account the interactive influence of multiple factors, such as the failure probability of construction equipment, the supply status of materials, and the safety record of personnel. The risk level is calculated as follows: L = f(R), where L is the risk level, which is calculated based on the risk coefficient R and converts the risk coefficient R into a specific risk level. f(·) is the risk assessment function, which is trained based on historical data and can dynamically assess the severity and impact of the risk.

[0058] Based on the risk level L, a risk warning is automatically generated and pushed to relevant personnel to ensure timely processing.

[0059] Generate early warning reports based on analysis results and automatically push them to relevant departments and personnel to ensure uninterrupted information transmission and avoid the occurrence of data silos;

[0060] Adjustment measures are based on the dual considerations of project progress and safety management, and the project construction plan and resource allocation are updated in real time. Adjustment measures include the rearrangement and optimization of construction personnel, equipment, and materials to ensure the efficient use of all resources and avoid waste during project execution.

[0061] Adjustment measures also include detailed investigations of problems that arise during the construction process to ensure that all problems are resolved in a timely manner and the project progress is not affected. After receiving early warning reports, the automated scheduling system can automatically adjust resource allocation and update project progress information on the platform in real time to ensure that resource utilization in each link is in line with project goals and expectations.

[0062] Generate early warning reports based on analysis results and automatically push them to relevant departments and personnel to ensure uninterrupted information transmission and avoid the occurrence of data silos. The specific steps are as follows:

[0063] Based on the progress data and resource usage of each link of the project, the resource consumption rate and progress deviation of each link are calculated. The calculation expressions of resource consumption rate and progress deviation are as follows:

[0064]

[0065] In the formula, C is the resource consumption rate, which represents the ratio of the actual resource consumption of a certain link in the project to the planned consumption. A C value greater than 1 means that the resource consumption of this link exceeds the predetermined plan, which may lead to resource waste or schedule delays. A C value less than 1 means that the resource consumption is lower than expected, which may mean that resources are not fully utilized. P is the schedule deviation, which represents the difference between the actual schedule and the planned schedule. A P value of 0 means that the project schedule is consistent with the plan. A P value greater than 0 means that the project schedule is behind schedule. A P value less than 0 means that the project schedule is ahead of schedule.

[0066] Calculate the comprehensive risk coefficient, taking into account the mutual influence of resource consumption and schedule deviation. The calculation of the comprehensive risk coefficient is expressed as follows: F = α·C + β·P, where F is the comprehensive risk coefficient, which is the final risk assessment result after comprehensively considering the resource consumption rate C and schedule deviation P. α is the impact weight of resource consumption on project risk, and β is the impact weight of schedule deviation on project risk.

[0067] If F exceeds the preset risk threshold, an early warning is triggered. The emergency measures that need to be taken are determined based on the value of F, such as increasing resources, adjusting progress, etc., and relevant personnel are notified via push notification for timely processing.

[0068] Based on early warning reports and relevant data, formulate specific adjustment measures and update project progress in real time to ensure that the project proceeds as planned, guarantee construction safety, and smoothly implement urban renewal;

[0069] The management platform has a multi-level structure and a user rights control module. It can assign different permissions to users with different roles (such as project managers, construction workers, safety monitoring personnel, etc.), ensuring that each user can only access the key information required for their work. The module uses identity authentication and role recognition technology to ensure security and data privacy.

[0070] The permission control module also includes an audit function that can record each user's operation log and track and record all important operations for subsequent audits and problem tracing.

[0071] This function can help managers quickly locate the source of problems when they occur, thereby improving system transparency and management efficiency.

[0072] Implementation 1: In a smart construction management platform for urban renewal, one of the keys to resolving data silos and information asymmetry is to achieve seamless data integration and sharing across different systems. The core of this implementation approach is to establish unified data standards and interface protocols, and to leverage information technology to enable smooth data exchange across departments, enterprises, and platforms. This ensures that all parties involved in urban renewal projects can share critical information in real time, mitigating the risks associated with information fragmentation.

[0073] First of all, the formulation of unified data standards is crucial. Currently, there are many technical systems involved in urban renewal projects, including building information models (BIM), project management systems, Internet of Things monitoring systems, equipment management systems, security monitoring systems, etc., and these systems often use different technical platforms and data formats. In order to break down data barriers, it is necessary to formulate unified data standards to ensure that the data of each system can be stored and transmitted in a standardized format. Standardized data formats can not only ensure that each system can smoothly parse and use data when exchanging data, but also ensure the consistency of information between different systems. Specifically, by establishing a common data dictionary, the construction project data involved (such as building materials, construction progress, resource allocation, etc.) can be defined in detail to ensure that the data in different platforms can be standardized and managed.

[0074] Secondly, the construction of a data interface protocol is key to achieving system integration. The data interface protocol needs to define the method, format, and frequency of data exchange between systems. To ensure system interoperability and compatibility, the design of the interface protocol needs to take into account the differences between different technical platforms. By adopting an interface based on standardized communication protocols (such as RESTful API, SOAP, etc.), it can be ensured that data between different systems can be transmitted in the prescribed format. In addition, to meet the real-time needs of the project, the platform should support both scheduled and instant data upload modes. In actual application, the system should set the frequency of data collection and transmission based on the specific needs of the project and the frequency of data updates to ensure the real-time and accuracy of information. For example, a security monitoring system can upload on-site monitoring data to the platform in real time, while project progress information can be updated regularly.

[0075] Through these measures, the platform enables centralized data storage and management. All data can be uploaded to the cloud management platform through a unified interface and stored centrally. The advantage of the cloud platform is that it provides project managers with unified data access rights and information sharing channels, eliminating the management challenges caused by information stored in different departments and enterprise systems. The platform achieves data backup and high availability through cloud storage, ensuring that relevant personnel can quickly access the latest project data at any time and from any location, allowing them to conduct data analysis and decision-making at any time.

[0076] The implementation of this approach will significantly improve project management efficiency, break down traditional data silos, and achieve information interconnection and interoperability. The platform's unified data standards and interface protocols not only improve the efficiency of information exchange but also enhance the transparency of project management. Project stakeholders can use the platform to maintain real-time access to the latest project progress, ensuring coordination and collaboration across all aspects, thereby avoiding misguided decisions, waste of resources, or safety hazards caused by information asymmetry. Furthermore, the system's openness and flexibility provide room for future technological upgrades and expansion. As new technologies and equipment are introduced, the system can be further expanded and optimized by adding new interfaces and standardized modules, further enhancing the intelligent level of project management.

[0077] Implementation 2: Another core function of the smart construction management platform is to provide efficient decision-making support for project management through real-time data collection and intelligent analysis technologies. In urban renewal projects, real-time monitoring and data analysis can help managers promptly identify project issues, predict risks, and optimize resource allocation, thereby avoiding project delays, resource waste, and safety incidents. The core of this implementation is to use various smart devices, sensors, and monitoring systems to collect various data from the project site in real time. This data is then processed using intelligent analysis algorithms to generate real-time risk assessment reports and decision-making support information.

[0078] First, real-time data collection requires a variety of advanced sensing technologies and equipment. To ensure comprehensive and accurate data, the platform utilizes a variety of intelligent devices for data collection. For example, sensors installed at construction sites can monitor the building's structural safety, temperature, humidity, vibration, and other data in real time, ensuring real-time control of construction quality. Smart bracelets worn by construction workers can record their location and status in real time to ensure their safety. Drones and automated equipment can conduct aerial inspections of construction sites, providing real-time insights into construction progress and resource usage. Furthermore, the platform is equipped with an intelligent monitoring system that monitors safety hazards during construction in real time, ensuring immediate response to dangerous situations.

[0079] Secondly, the real-time and accurate nature of data collection determines the effectiveness of subsequent intelligent analysis. After all information is uploaded to the cloud platform via data collection equipment, the platform processes and analyzes the data using advanced intelligent analysis algorithms. These algorithms, which incorporate machine learning, artificial intelligence, and data mining, automatically identify potential risks in project progress by learning from historical data. For example, the system can analyze whether the progress of a particular construction phase is meeting expectations, whether there is a risk of delay, resource shortages, equipment failures, or personnel safety hazards. If the system identifies a risk in a particular phase, it immediately issues an early warning and notifies the relevant personnel so that corrective measures can be taken promptly.

[0080] The platform's intelligent analysis algorithms not only provide real-time risk assessments but also generate data-driven decision-making support reports. By conducting multi-dimensional analysis of data from all aspects of a project, the platform helps project managers and related management personnel make more accurate decisions. For example, the system automatically adjusts construction plans and reallocates resources based on construction progress and resource consumption to ensure smooth project progress. Furthermore, the platform generates tailored contingency plans, enabling management to take timely and effective measures in the event of unexpected issues, thereby preventing serious project losses.

[0081] By implementing real-time data collection and intelligent analysis, the platform not only significantly improves the efficiency and accuracy of project management, but also enables on-the-fly adjustments and optimizations during the construction process, ensuring maximum assurance of construction quality, safety, and progress. Compared to traditional manual inspection and analysis methods, intelligent analysis offers greater efficiency and predictive power, enabling earlier identification and intervention of issues, reducing losses caused by delayed decision-making.

[0082] Implementation method 3: In the smart construction management platform for urban renewal, project progress, resource utilization, construction quality, and safety management are key elements that cannot be ignored. However, as the scale of the project increases, various links in the project may experience problems such as delayed progress, waste of resources, and equipment failure, which in turn affect the smooth progress of the project. Therefore, implementing a dynamic adjustment and intelligent early warning system is not only an effective means to solve the above problems, but also a necessary step to ensure that the project can respond flexibly, optimize resource allocation, and ensure construction safety in complex environments. This implementation method uses intelligent algorithms and big data analysis to provide project managers with real-time dynamic adjustment plans and generate highly targeted early warning information to help project managers effectively respond to various emergencies and minimize progress delays and resource waste.

[0083] The first step in this implementation is to use a cloud-based management platform to receive real-time data from all aspects of the project, including project progress, resource consumption, safety monitoring data, and equipment operating status. The platform connects to various sensors, smart devices, drones, and personnel management systems on the construction site to collect and upload data in real time. Once the data is uploaded to the platform, the system conducts real-time analysis, including risk assessment and schedule deviation analysis.

[0084] For example, during construction, the platform regularly collects progress data and compares it against the planned schedule. If a project lags behind schedule, the platform automatically identifies the delay and conducts further analysis based on factors such as equipment status and personnel efficiency to determine the specific cause. The platform also analyzes resource consumption to identify any waste, particularly in areas such as building materials and equipment operation. The platform can provide timely warnings if excessive resource consumption is detected.

[0085] After receiving project progress deviations and risk assessment information, the system uses intelligent algorithms to calculate adjustment plans and optimize resource allocation through a dynamic scheduling system. Specifically, when the system detects progress delays or resource waste, the platform first identifies the root cause through data analysis. For example, if equipment failure causes a construction delay, the platform automatically analyzes the equipment's failure rate and uses machine learning algorithms to predict the equipment's operating status after recovery, estimating the time required for recovery, thereby providing a reasonable recovery plan for the project.

[0086] The platform then automatically adjusts the scheduling of construction personnel, equipment, and materials based on the analysis results. For example, if a construction phase is found to be lagging behind, the system may recommend increasing the number of construction personnel or adjusting construction shifts to ensure that phase is restored to progress as quickly as possible. If the supply of a certain material is delayed, the system will automatically notify the materials management department to purchase it and arrange coordination with relevant supply chain links. Through automated scheduling, the platform can flexibly respond to various project issues, ensuring efficient resource allocation and restoring project progress.

[0087] Furthermore, the system dynamically predicts and adjusts project progress based on real-time data. For example, if early progress lags, but later construction phases are relatively easy, the system will optimize the schedule based on the time requirements and resource availability of later tasks, keeping the overall construction period within a reasonable range and minimizing delays.

[0088] During this dynamic adjustment process, the platform not only optimizes resource allocation but also generates targeted contingency plans. Through intelligent analysis, the platform can identify risks that could impact the smooth progress of a project and proactively generate solutions. For example, if a project construction phase is hampered by sudden equipment failure or unforeseen weather conditions, the platform can combine historical data with real-time information to automatically generate a contingency plan for relevant personnel, including troubleshooting steps, weather response plans, and emergency personnel dispatch plans.

[0089] The generation of emergency plans relies not only on automated decision-making based on system analysis but also takes into account feedback from project managers and the specificities of the project environment. For example, if equipment fails, the platform will recommend immediate dispatch of backup equipment for rapid deployment. If the weather forecast indicates strong winds or heavy rain, the system will proactively suspend outdoor work or implement protective measures based on the sensitivity of the construction process. Emergency plans not only include material dispatch and personnel adjustments, but also provide specific operational guidelines and timelines to ensure managers can respond quickly and take effective measures.

[0090] The generated emergency plans are pushed to the project leaders in real time through the system, and all personnel required to implement emergency measures are notified promptly via mobile devices (such as smartphones and tablets) to ensure a timely response. These plans can be tracked and adjusted in real time through the platform to respond to changes in unexpected situations.

[0091] Safety monitoring is a crucial task in construction project management. To ensure construction safety, the platform monitors all potential safety hazards at the construction site in real time and uses intelligent algorithms to assess risks in real time. For example, vibration sensors, environmental sensors, and security cameras continuously collect data, which the system monitors in real time and analyzes based on pre-set safety standards. If a safety hazard is detected (such as excessive vibration, hazardous gas leaks, or high temperatures), the platform immediately issues an early warning to alert on-site staff and safety managers.

[0092] In addition to single safety monitoring data, the system also integrates historical data and real-time project information to conduct comprehensive analysis and predict potential safety risks. For example, if a construction area has a poor historical safety record, the system will assess the safety risk in that area based on factors such as on-site temperature and humidity, number of personnel, and equipment load, issuing early warnings to prevent accidents. For safety risks that require special attention, the system will also notify safety managers via text messages, push notifications, and other means, requiring them to take immediate preventative measures.

[0093] Warning information is not only displayed through the platform interface, but also pushed to relevant personnel in a hierarchical manner based on the severity and urgency of the problem. For example, for some relatively minor problems (such as minor equipment maintenance needs), the system will remind management personnel to investigate through background notifications; while for some problems that may affect the overall progress of the project or pose a greater safety hazard (such as serious equipment failures or safety accidents), the system will immediately alert the project manager and relevant persons in charge through high-priority notifications and initiate the emergency response process.

[0094] The platform also allows managers to reprocess warning information based on actual needs, dispatching specific personnel and resources to ensure timely resolution of issues. In terms of safety and progress management, the platform's warning capabilities enable project managers to respond in real time, avoiding the hassle of post-processing and ensuring project progress and construction safety.

[0095] During the dynamic adjustment and intelligent early warning process, the platform also possesses self-learning capabilities. As projects progress, the system accumulates a wealth of historical data and management experience, and the machine learning algorithm uses this data to optimize itself. Each time the system successfully predicts and resolves a problem, the algorithm learns from its handling method, continuously improving the accuracy of predictions and the efficiency of adjustments.

[0096] This self-learning feature enables the platform to continuously improve efficiency and accuracy as the project progresses, and to provide more customized solutions when facing different projects or different construction environments.

[0097] Through dynamic adjustments and intelligent early warning systems, the smart construction management platform for urban renewal not only monitors project progress, resource usage, and safety status in real time, but also automatically schedules resources, adjusts schedules, and generates emergency plans based on intelligent algorithms. Through precise early warning mechanisms and a multi-level feedback system, the platform ensures rapid response to unexpected project issues, avoiding delays and wasted resources, and ensuring smooth project progress. This intelligent dynamic adjustment and early warning system will significantly enhance the management efficiency, safety, and sustainability of urban renewal projects.

[0098] The present invention achieves seamless data connection and real-time sharing between different systems by establishing unified data standards and interface protocols. With the help of this technology, project managers can view key information of each link in real time on the platform, such as construction progress, resource usage, equipment status and safety monitoring data. The unified data platform eliminates the problem of information islands and avoids decision-making errors caused by information gaps or delays. This measure not only improves managers' visibility into project progress, but also provides a solid data foundation for accurate scheduling and resource allocation of projects. Through intelligent analysis and data-driven decision support, managers can promptly identify potential risks in the project and make accurate decisions, thereby avoiding project schedule delays, waste of resources and safety accidents, and improving overall management efficiency.

[0099] The present invention enhances the intelligence level of project safety management through real-time data collection and intelligent analysis technology. By deploying intelligent sensing equipment and monitoring systems at the construction site, the platform can obtain real-time data on the structural safety of the building, environmental changes, personnel location, and equipment operating status. These data are processed by the platform's intelligent analysis algorithm, which can identify potential safety hazards that may arise during the construction process in real time. With the help of artificial intelligence and machine learning technology, the platform can predict potential risks and issue early warning information before problems occur, ensuring that managers can take emergency measures at the first time. In addition, the platform's intelligent early warning system not only improves the on-site safety management capabilities, but also reduces the deviation of human judgment, improves the accuracy of safety management, and ensures the safety of personnel and project quality during the construction process.

[0100] The present invention significantly enhances the flexibility and emergency response capabilities of project management through dynamic adjustment and intelligent early warning mechanisms. During the progress of a project, external factors or emergencies may cause construction progress to lag or resource allocation to be unbalanced. Traditional project management methods often rely on manual intervention and empirical judgment, making it difficult to make timely adjustments. However, the present invention uses the platform's intelligent algorithm to automatically adjust construction plans, resource allocation, and personnel arrangements based on real-time data and risk assessment results. By analyzing changes in factors such as project progress and resource usage, the system can automatically generate adjustment plans to ensure that the project can respond in a timely manner when problems arise, reducing progress delays and waste of resources. In addition, the platform can also provide emergency response plans based on safety hazards and equipment failures to ensure that the construction site can quickly resume normal operations. This flexible adjustment mechanism significantly improves the project's ability to respond to unforeseen problems and ensures the efficient execution and smooth completion of the project.

[0101] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0102] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

[0103] It should be noted that, in this document, if there are relational terms such as first and second, etc., they are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device that includes the element.

[0104] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0105] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0106] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0107] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0108] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0109] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0110] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

Claims

1. A smart construction management platform for urban renewal, characterized by: The following steps are involved: Establish unified data standards and data interface protocols to ensure seamless integration of data from different systems, departments, and enterprises within the platform; Collect and update key information in urban renewal projects in real time, including project progress, resource utilization, construction quality and safety status, and generate detailed data records; Upload the collected key information to a unified management platform, and use the platform to centrally store and manage data; Use intelligent analysis algorithms to analyze real-time data stored in the platform to promptly identify potential risk factors and safety hazards; Generate early warning reports based on analysis results and automatically push them to relevant departments and personnel to ensure uninterrupted information transmission and avoid the occurrence of data silos; Based on the early warning report and relevant data, specific adjustment measures are formulated and project progress is updated in real time to ensure that the project proceeds as planned, guarantee construction safety and the smooth implementation of urban renewal.

2. The smart construction management platform for urban renewal according to claim 1 is characterized in that: Unified data standards and data interface protocols are achieved through the use of interface technology based on standardized communication protocols, ensuring seamless data interaction between departments, enterprises and technical systems, and real-time synchronous updating of data to ensure that project-related information can remain consistent throughout the life cycle of the urban renewal project; data standards include but are not limited to project progress, resource utilization, equipment status, construction quality and safety monitoring data. The unified interface protocol requires all systems to exchange data in a predetermined format to facilitate information sharing and transmission between different systems.

3. The smart construction management platform for urban renewal according to claim 1 is characterized in that: The collection of key information is monitored in real time through various intelligent sensing devices to ensure that the collected information is real-time and highly accurate; intelligent sensing equipment can detect and record data during the construction process, and the intelligent equipment management system monitors the use of equipment in real time to avoid equipment failure or waste of resources.

4. The smart construction management platform for urban renewal according to claim 1 is characterized in that: Intelligent analysis algorithms include risk assessment models based on machine learning and artificial intelligence, which can analyze project data from various links in real time and automatically generate risk assessment reports based on the analysis results.

5. The smart construction management platform for urban renewal according to claim 1 is characterized in that: Based on the analysis results, the early warning report further includes solutions and handling suggestions for the identified problems. Through collaboration with relevant departments and managers, the solutions and suggestions can ensure that the problems are responded to and handled in a timely and effective manner. The early warning report can not only point out the severity of potential problems, but also clarify the responsibilities and emergency measures of relevant personnel to reduce delays in project progress.

6. The smart construction management platform for urban renewal according to claim 1 is characterized in that: Intelligent analysis algorithms are used to analyze real-time data stored in the platform to promptly identify potential risk factors and safety hazards. The specific steps are as follows: Based on the project's historical data and real-time collected data, a multi-dimensional risk prediction model is established. Through time series analysis and neural network algorithms, the risk coefficient of the construction link is dynamically calculated. The risk coefficient calculation expression is as follows: ， Where R is the risk factor, w i is the weight coefficient of the i-th data item, x i (t) is the value of the i-th data item at time t, and n is the total number of data items; In the prediction process, considering the interactive influence of multiple factors, a risk level is assigned to each link based on the risk coefficient. The risk level calculation formula is as follows: L = f(R), where L is the risk level and f(·) is the risk assessment function; Based on the risk level L, a risk warning is automatically generated and pushed to relevant personnel to ensure timely processing.

7. The smart construction management platform for urban renewal according to claim 1 is characterized in that: Adjustment measures are based on the dual considerations of project progress and safety management, and the project construction plan and resource allocation are updated in real time. Adjustment measures include the rearrangement and optimization of construction personnel, equipment, and materials to ensure the efficient use of all resources and avoid waste during project execution. Adjustment measures also include detailed investigations of problems that arise during the construction process to ensure that all problems are resolved in a timely manner and the project progress is not affected. After receiving early warning reports, the automated scheduling system can automatically adjust resource allocation and update project progress information on the platform in real time to ensure that resource utilization in each link is in line with project goals and expectations.

8. The smart construction management platform for urban renewal according to claim 1 is characterized in that: Generate early warning reports based on analysis results and automatically push them to relevant departments and personnel to ensure uninterrupted information transmission and avoid the occurrence of data silos. The specific steps are as follows: Based on the progress data and resource usage of each link of the project, the resource consumption rate and progress deviation of each link are calculated. The calculation expressions of resource consumption rate and progress deviation are as follows: ， Where C is the resource consumption rate and P is the schedule deviation; Calculate the comprehensive risk coefficient, taking into account the mutual influence of resource consumption and schedule deviation. The comprehensive risk coefficient is calculated as follows: F = α·C + β·P, where F is the comprehensive risk coefficient, α is the weight of the impact of resource consumption on project risk, and β is the weight of the impact of schedule deviation on project risk. If F exceeds the preset risk threshold, an early warning is triggered, and the emergency measures that need to be taken are determined based on the value of F, and relevant personnel are notified via push notification for timely processing.

9. The smart construction management platform for urban renewal according to claim 1 is characterized in that: The management platform has a multi-level structure and is equipped with a user rights control module that can assign different permissions to users with different roles, ensuring that each user can only access the key information required for their work. The module uses identity authentication and role recognition technology to ensure security and data privacy. The permission control module also includes an audit function that can record each user's operation log and track and record all important operations for subsequent audits and problem tracing.

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