Intelligent construction site management method and platform

Abstract

The invention discloses an intelligent construction site management method and platform, and relates to the technical field of intelligent construction sites, and the method comprises the steps: obtaining multi-source construction data, and constructing a BIM-Internet of Things fusion model; comparing real-time data with design parameters through the BIM-Internet of Things fusion model, generating a consistency verification result, and uploading the consistency verification result to a block chain evidence storage module; whether an abnormal state exists or not is judged based on the consistency verification result, and if yes, a resource scheduling engine is called to generate an optimized scheduling scheme; adjusting mechanical, manpower and material configuration according to the optimal scheduling scheme, and collecting execution feedback data; and updating the execution feedback data to the BIM model, and comparing the updated design parameters with the field data again to generate a closed-loop feedback verification result. The problems of information splitting, scheduling lag, resource waste, lack of traceability and the like in traditional construction management are effectively solved, and the intelligent, refined and collaborative management level of the construction process is improved.

Description

Technical Field

[0001] The present invention relates to the field of smart construction site technology, and in particular to a smart construction site management method and platform. Background Art

[0002] Smart construction sites, a key area driving the digital transformation of the construction industry, are gradually moving from conceptual exploration to practical application. With the continuous integration of technologies such as BIM, the Internet of Things, artificial intelligence, and blockchain, data collection capabilities at construction sites have been significantly enhanced, and the visualization and manageability of the construction process have been continuously improved. Some large-scale projects have begun experimenting with building digital twin-based construction site management platforms, enabling preliminary intelligent monitoring of progress, quality, and safety, providing a new technical path to improving construction efficiency and management.

[0003] However, many problems still need to be solved in the actual application process. First, the sources of construction site data are diverse and the formats are not uniform. There is a lack of an effective multi-source data fusion mechanism, which leads to a disconnect between the BIM model and the actual situation on site, affecting the accuracy of decision-making. Second, most systems are still based on "post-analysis" and lack a real-time consistency verification mechanism, making it difficult to detect and respond to construction deviations in a timely manner. Third, resource scheduling mostly relies on manual experience or static plans, and lacks a dynamic optimization scheduling mechanism based on abnormal state identification, resulting in irrational resource allocation and delayed response. Finally, existing systems generally lack a closed-loop feedback control mechanism, and the scheduling execution effect cannot be quantified and evaluated, making it difficult to achieve continuous optimization. These problems have seriously restricted the further improvement of the intelligent management level of smart construction sites in complex construction environments. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a smart construction site management method and platform that can solve the problems mentioned in the background technology.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, the present invention provides a smart construction site management method, which includes acquiring multi-source construction data and building a BIM-IoT fusion model; Compare real-time data with design parameters through the BIM-IoT fusion model, generate consistency verification results, and upload them to the blockchain evidence storage module; Based on the consistency verification result, it is determined whether there is an abnormal state. If there is an abnormality, the resource scheduling engine is called to generate an optimized scheduling plan; Adjust the configuration of machinery, manpower and materials according to the optimized scheduling plan, and collect execution feedback data; The execution feedback data is updated to the BIM model, and the updated design parameters are compared with the field data again to generate a closed-loop feedback verification result.

[0008] As a preferred solution of the smart construction site management method of the present invention, the construction of the BIM-IoT fusion model includes: Collect structural design data from the construction site and import it into the BIM database; Deploy an IoT sensor network to collect real-time information on construction site environmental parameters, equipment status, and personnel location; Receive construction logs, quality acceptance records and safety inspection data uploaded by manual input terminals; Performing spatiotemporal alignment processing on the BIM model, the collected IoT data, and the manually entered data; Build a BIM-IoT fusion model based on the aligned data.

[0009] As a preferred solution of the smart construction site management method of the present invention, generating the consistency verification result includes: Receive data consistency verification results output from the BIM-IoT fusion model, which include construction progress deviations, component installation errors, equipment operation status anomalies, and personnel operation compliance judgment information.

[0010] As a preferred solution of the smart construction site management method of the present invention, the determination of whether an abnormal state exists includes: An abnormality determination is performed on the consistency verification result according to a preset threshold value. If any verification indicator exceeds the set threshold value, it is determined to be a scheduling abnormality event; Extracting the current available resource status and constraints from the resource configuration database, wherein the available resource status includes the number of machinery and equipment, the number of workers on duty, the material inventory, and the critical path process schedule; and the constraints include the construction period limit, the budget limit, the safety risk level, and the equipment use priority; Inputting the scheduling exception event, available resource status and constraint conditions into the scheduling optimization module; Generate multiple resource scheduling candidate solutions through iterative genetic algorithms, and select the optimal scheduling solution based on a comprehensive evaluation model that scores the candidate solutions based on task completion time, resource utilization, conflict probability, and risk weight factors to select the optimal solution. The optimized scheduling plan is encapsulated as an executable instruction set and pushed to the construction site scheduling execution terminal.

[0011] As a preferred solution of the smart construction site management method of the present invention, the adjustment of machinery, manpower and material configuration includes: Generate resource configuration adjustment instructions based on the optimized scheduling plan, and convert the resource allocation strategy in the scheduling plan into executable specific instructions, including the type and quantity of machinery and equipment, personnel team deployment arrangements, material arrival time and stacking location; Dispatch machinery, manpower, and materials at the construction site based on resource allocation adjustment instructions. This includes directing cranes and elevators through the construction site management system or automated dispatching mechanisms, arranging construction teams to work in designated areas, and coordinating with material suppliers to adjust the pace of transportation and delivery.

[0012] As a preferred solution of the smart construction site management method of the present invention, the collection and execution feedback data includes: Sending the optimized scheduling plan to the execution terminal at the construction site; Adjust on-site resource allocation and carry out construction activities according to the scheduling plan, and dynamically allocate machinery and equipment, personnel teams and material supplies based on scheduling instructions; The construction status data during the execution process is collected, and the construction status data includes equipment operating status, personnel location, completion status of construction progress nodes, and changes in environmental parameters.

[0013] As a preferred solution of the smart construction site management method of the present invention, the generating of the closed-loop feedback verification result includes: Upload the collected construction status data to the BIM-IoT fusion model and update the model parameters, embedding the real-time data of the execution phase into the corresponding component level in the BIM model; Re-verify data consistency based on the updated BIM-IoT fusion model, and compare the updated model with the latest collected field data to identify any new deviations or anomalies; A closed-loop feedback verification report is generated based on the consistency verification results to determine whether the scheduling effect meets the standards. If the comparison results show that the construction status has returned to the expected range, the scheduling is considered successful. If there is still a deviation, a new round of scheduling process is started.

[0014] In a second aspect, the present invention provides a smart construction site management platform, which includes: a model building module for acquiring multi-source construction data and building a BIM-IoT fusion model; A consistency verification module is used to compare real-time data with design parameters through the BIM-IoT fusion model, generate consistency verification results, and upload them to the blockchain evidence storage module; An abnormality judgment module is used to judge whether there is an abnormal state based on the consistency verification result, and if there is an abnormality, call the resource scheduling engine to generate an optimized scheduling plan; A resource scheduling module is used to adjust the configuration of machinery, manpower and materials according to the optimized scheduling plan and collect execution feedback data; The closed-loop feedback module is used to update the execution feedback data to the BIM model, compare the updated design parameters with the field data again, and generate a closed-loop feedback verification result.

[0015] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, the steps of the smart construction site management method are implemented.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, the steps of the smart construction site management method are implemented.

[0017] Compared with the existing technology, the beneficial effects of the present invention are that by constructing a BIM-IoT fusion model, unified modeling and dynamic updating of multi-source heterogeneous data on the construction site are achieved, providing a high-fidelity digital twin foundation for the entire construction process; by comparing real-time data with design parameters to generate consistency verification results, and combining the blockchain evidence storage mechanism, data credibility and multi-party collaboration efficiency are improved; after identifying abnormal conditions, a resource scheduling engine based on genetic algorithms is called to generate an optimized scheduling plan based on the construction period, cost and safety goals, which significantly improves the scientific nature and response speed of scheduling decisions; by executing resource allocation adjustments and collecting feedback data, the scheduling instructions are ensured to be effectively implemented; and finally, the execution feedback data is transmitted back to the BIM model to form a closed-loop verification mechanism, realizing continuous optimization and adaptive adjustment of the construction management system. This method effectively solves the problems of information fragmentation, scheduling lag, resource waste and lack of traceability in traditional construction management, and improves the level of intelligent, refined and collaborative management of the construction process. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A flowchart of a smart construction site management method and platform provided by one embodiment of the present invention; Figure 2A diagram showing the internal structure of a computer device that provides a smart construction site management method and platform according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] To make the above-mentioned objects, features, and advantages of the present invention more easily understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0021] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0022] Unless specifically stated otherwise, the relative arrangement of components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure.

[0023] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not necessarily drawn according to the actual proportional relationship.

[0024] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0025] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0026] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0027] In addition, in the description of the present disclosure, the terms "first," "second," "third," etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance or order. Similarly, although operations are depicted in a particular order in the accompanying drawings, this should not be understood as requiring that such operations be performed in the particular order shown or in a sequential order, or that all illustrated operations be performed to achieve the desired result. In certain circumstances, multitasking and parallel processing can be advantageous.

[0028] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a smart construction site management method, including: Figure 1 A flowchart of the smart construction site management method and platform is shown, including: S1: Acquire multi-source construction data and build a BIM-IoT fusion model; S2: Compare real-time data with design parameters through the BIM-IoT fusion model, generate consistency verification results, and upload them to the blockchain evidence storage module; S3: Based on the consistency verification result, determine whether there is an abnormal state. If there is an abnormality, call the resource scheduling engine to generate an optimized scheduling plan; S4: Adjust the configuration of machinery, manpower and materials according to the optimized scheduling plan, and collect execution feedback data; S5: Update the execution feedback data to the BIM model, compare the updated design parameters with the field data again, and generate closed-loop feedback verification results.

[0029] It should be noted that the actual construction process of a smart construction site involves a large amount of machinery and equipment, personnel activities, material flows, and the collection of multi-source heterogeneous data, including but not limited to ambient temperature and humidity, equipment operating status, construction progress, and personnel location. Due to the highly dynamic nature of construction sites and the numerous interfering factors, various types of data are prone to deviations or distortions during collection, transmission, storage, and access. This can lead to inconsistencies between the BIM model and actual on-site conditions, affecting the accuracy of construction decisions. Furthermore, the scheduling of construction resources (such as machinery, manpower, and materials) often relies on manual experience or static plans, lacking a dynamic response mechanism to real-time construction status, making it difficult to achieve efficient collaboration and optimal configuration. Furthermore, with the increasing application of technologies such as the Internet of Things and blockchain on construction sites, ensuring data consistency and credibility across multiple stakeholders has become a key challenge in the current development of smart construction sites.

[0030] Therefore, in response to the aforementioned problems of data consistency verification difficulties, delayed resource scheduling, and untimely system feedback, a data consistency verification mechanism based on the BIM-IoT fusion model is constructed through steps S1 to S5 to achieve dynamic comparison and anomaly identification of data throughout the construction process. Blockchain evidence storage ensures data traceability and non-tamperability, improving the efficiency of multi-party collaboration. Furthermore, a resource scheduling optimization plan is dynamically generated based on a genetic algorithm, and the model is updated in combination with execution feedback data to generate closed-loop verification results, thereby achieving intelligent scheduling and adaptive optimization of construction site resources. This method effectively solves the problems of serious information islands, slow scheduling response, and low data credibility in the traditional construction site management model, and improves the intelligent, collaborative, and refined management level of the construction process.

[0031] Example 2, reference Figure 1-Figure 2 , which is the second embodiment of the present invention, this embodiment also provides a smart construction site management method, including: In the embodiment of the present application, step S1 acquires multi-source construction data and constructs a BIM-IoT fusion model through the following steps, including: Collect structural design data from the construction site and import it into the Building Information Model (BIM) database; Deploy an IoT sensor network to collect real-time information on construction site environmental parameters, equipment status, and personnel location; Receive construction logs, quality acceptance records and safety inspection data uploaded by manual input terminals; Perform spatiotemporal alignment of the BIM model with the collected IoT data and manually entered data; A BIM-IoT fusion model is constructed based on the aligned data to achieve digital mapping of the construction site.

[0032] In an optional embodiment, the structural design data includes but is not limited to the three-dimensional geometric model of the building, component properties, construction process schedule and material parameters, which are used to establish a digital twin base model corresponding to the physical construction site.

[0033] In an optional embodiment, environmental parameters include temperature, humidity, wind speed, and dust concentration; equipment status includes the operating status and fault signals of tower cranes, elevators, and concrete pumping systems; and personnel location information is obtained through UWB or RFID tags.

[0034] In an optional embodiment, the manual input terminal includes a mobile APP or PC system interface, which supports construction management personnel to upload on-site operation records and image data in a scheduled or event-triggered manner.

[0035] In an optional embodiment, a timestamp synchronization mechanism and a spatial coordinate mapping algorithm are used to ensure that data from different sources are aligned under a unified time and space reference to form a structured data set with time series characteristics.

[0036] In an optional embodiment, the dynamic data of the Internet of Things is embedded into the corresponding components in the BIM model to form a fusion model with real-time update capabilities, supporting component-level status visualization, data analysis and subsequent consistency verification processes.

[0037] In the embodiment of the present application, step S2 generates a consistency verification result through the following steps, including: Receive data consistency verification results from the BIM-IoT fusion model. These results include construction progress deviations, component installation errors, equipment operating status anomalies, and personnel compliance information, which are used to indicate whether the construction site deviates from design expectations. In an optional embodiment, the data consistency verification result includes the deviation information between the installation status of the components on the construction site and the BIM design parameters. The system determines whether there is a construction error beyond the set range by comparing the actual position data collected by the sensor with the expected coordinates in the BIM model.

[0038] In an optional embodiment, the data consistency verification result also includes a comparative analysis result between the construction progress and the planned progress. If the actual progress lags beyond a preset threshold, it is marked as an abnormal state in the verification result as one of the triggering conditions for the subsequent resource scheduling process.

[0039] In an optional embodiment, the verification results also include a matching evaluation between manually entered data and automatically collected data, such as comparing the acceptance records uploaded by managers with the actual operating status identified by video surveillance. If there is an obvious discrepancy, it is marked as a data anomaly and included in the basis for scheduling decisions.

[0040] In the embodiment of the present application, in step S3, the optimized scheduling solution is generated by the following steps, including: The consistency verification results are judged as abnormal according to the preset threshold. If any verification indicator exceeds the set threshold, it is judged as a triggering abnormal event; Extract the current available resource status and constraints from the resource allocation database. Available resource status includes the number of machinery and equipment, the number of workers on duty, material inventory, and critical path process schedules. Constraints include deadlines, budget caps, safety risk levels, and equipment usage priorities. The scheduling trigger events, resource status and constraints are input into the scheduling optimization module, which uses genetic algorithms to perform multi-objective optimization calculations with the objective functions of minimizing construction delays, reducing construction costs and reducing the probability of safety accidents. Generate multiple resource scheduling candidate solutions through iterative genetic algorithms, and select and optimize the scheduling solutions based on a comprehensive evaluation model. The comprehensive evaluation model scores the candidate solutions based on task completion time, resource utilization, conflict probability, and risk weight factors, and selects the optimal solution. The optimized scheduling plan is encapsulated as an executable instruction set and pushed to the construction site scheduling execution terminal. The scheduling execution terminal includes the command center system, mobile APP, automatic dispatching platform or equipment control interface, and supports the issuance of scheduling instructions and manual confirmation operations.

[0041] In an optional embodiment, the system sets multiple thresholds to determine whether the data consistency verification results are abnormal, where the first-level threshold is used to prompt slight deviations, the second-level threshold is used to trigger the resource scheduling process, and the third-level threshold is used to start the emergency plan process.

[0042] In an optional embodiment, different types of verification results use different threshold setting strategies. For example, the allowable deviation of component installation error shall not exceed 5 cm, and the construction progress delay shall not exceed 3 days. When any indicator reaches or exceeds the corresponding threshold, it is judged to be an abnormal state.

[0043] In an optional embodiment, the system dynamically adjusts the threshold standards according to the different construction stages, allowing a larger error range in the foundation construction stage, and adopting a stricter precision control threshold in the decoration and renovation stage to adapt to the quality requirements of different processes.

[0044] In an optional embodiment, the resource allocation status includes real-time information such as the type and quantity of mechanical equipment available on site, the number of workers on duty and their job distribution, and the inventory of key materials. This information is automatically obtained through the construction site management system interface.

[0045] In an optional embodiment, the constraints include remaining construction period, budget cap, safety risk level, and equipment usage priority. The system determines which factors should be given priority consideration during the scheduling process based on the priority rules configured in the project management platform.

[0046] In an optional embodiment, the system also combines weather forecast information and external supply chain status to predict material supply time and equipment usage window period, and applies these factors as additional constraints in the resource scheduling process.

[0047] In an optional embodiment, after receiving all input information from the previous step, the resource scheduling engine converts it into a coding form that can be processed by the genetic algorithm, and constructs an initial population to provide a data basis for subsequent iterative optimization.

[0048] In an optional embodiment, a variety of optimization mode selection mechanisms are provided within the resource scheduling engine. Users can select optimization objectives that focus on schedule assurance, cost control, or safety improvement based on current construction needs, and the system adjusts the weight distribution strategy of the optimization function accordingly.

[0049] In an optional embodiment, the system supports the calling function of historical scheduling plans. When the current input information is highly similar to a historical scenario, the historical plan is preferentially referred to as the initial solution to improve the optimization efficiency and the feasibility of the scheduling plan.

[0050] In an optional embodiment, the system continuously evolves population individuals through operations such as crossover and mutation, calculates the comprehensive score of each candidate solution after each round of iteration, and retains several solutions with the highest scores to enter the next round of evolution until the preset convergence conditions are reached.

[0051] In an optional embodiment, the system introduces an elimination mechanism to eliminate low-scoring solutions that have not been improved for multiple consecutive rounds, thereby avoiding falling into local optimal solutions and improving the global optimization capability of the final output scheduling solution.

[0052] In an optional embodiment, the system introduces an expert experience library to assist in the evaluation during the screening of the optimal solution, combines industry standards, previous similar engineering cases and expert advice, and makes additional judgments on the rationality of candidate solutions to improve the reliability of scheduling decisions.

[0053] In an optional embodiment, the system displays the optimized scheduling plan through the construction site command center interface and simultaneously pushes it to the mobile terminals of relevant construction personnel to ensure that the scheduling instructions can be quickly conveyed and implemented.

[0054] In an optional embodiment, the execution terminal has task confirmation and feedback functions. Construction personnel can perform confirmation operations after receiving scheduling instructions and upload the execution status after the task is completed, forming a closed-loop management.

[0055] In an optional embodiment, the system supports an automatic dispatching function, which directly assigns tasks in the scheduling plan to specific teams or equipment, reducing manual intervention and improving scheduling execution efficiency and accuracy.

[0056] In the embodiment of the present application, step S4 optimizes the scheduling plan to dynamically adjust the machinery, manpower and material configurations and collects execution feedback data through the following steps, including: Generate resource configuration adjustment instructions based on the optimized scheduling plan, converting the resource allocation strategy in the scheduling plan into executable specific instructions, including the type and quantity of machinery and equipment, personnel and team deployment arrangements, material arrival time and stacking location, etc., to ensure that the scheduling intention can be accurately implemented; Dynamically dispatch machinery, manpower, and materials on the construction site based on resource allocation adjustment instructions. Through the construction site management system or automatic dispatching mechanism, command cranes, elevators, and other equipment to operate according to plan, arrange construction teams to work in designated areas, and coordinate with material suppliers to adjust the transportation and delivery rhythm. Collect execution feedback data after resource configuration adjustment and upload it to the data platform. Utilize IoT sensors and manual entry terminals to collect real-time execution feedback information such as equipment operating status, personnel attendance, and material usage progress, and upload it to the central data platform in a unified manner to provide a basis for subsequent closed-loop verification.

[0057] In an optional embodiment, the system reallocates construction resources according to process requirements based on task priorities and resource availability in the optimized scheduling plan. For example, when the critical path progress is delayed, the frequency of tower crane use is increased and the working hours of relevant teams are extended, and corresponding resource allocation adjustment instructions are generated.

[0058] In an optional embodiment, the resource configuration adjustment instruction includes equipment type and quantity, personnel team list and work area, material type and entry time node. The instruction is output to the construction site management system in a structured data format for subsequent execution module call.

[0059] In an optional embodiment, the system sends scheduling instructions to the tower crane control system through a wireless communication interface to adjust its operating area and operating time; at the same time, it pushes new work tasks to the construction team leader through a mobile terminal, instructing him to lead the team to the designated location to carry out construction.

[0060] In an optional embodiment, the material management system updates the transportation plan for major materials such as steel bars and cement based on the scheduling instructions, coordinates with suppliers to adjust delivery times, and notifies on-site warehouse management personnel to reserve stacking space to ensure that the materials arrive on time without affecting the construction progress.

[0061] In an optional embodiment, after resource allocation is adjusted, UWB positioning tags and RFID readers deployed at the construction site continuously collect information on personnel attendance and equipment operating status, and upload the collected data to the central data platform in real time for evaluating the scheduling execution effect.

[0062] In an optional embodiment, on-site construction personnel upload task completion status through a mobile APP, including actual start time, end time, resource usage, and other information. The platform integrates manual feedback data with automatically collected data to form a complete execution feedback record.

[0063] In the embodiment of the present application, in step S5, the closed-loop feedback verification result is generated by the following steps, including: Upload the collected construction status data to the BIM-IoT fusion model and update the model parameters. Embed the real-time data of the execution phase into the corresponding component level in the BIM model and update its status attributes (such as construction completion and deviation correction value) to achieve the dynamic evolution of the digital twin model. Re-verify data consistency based on the updated BIM-IoT fusion model, compare the updated model with the latest collected field data, identify any new deviations or anomalies, and evaluate whether the scheduling solution has effectively resolved the original problem; A closed-loop feedback verification report is generated based on the consistency verification results to determine whether the scheduling effect meets the standards. If the comparison results show that the construction status has returned to the expected range, the scheduling is considered successful. If there is still a deviation, a new round of scheduling process is started and the next optimization iteration is entered.

[0064] In an optional embodiment, the system supports binding scheduling instructions with components in the BIM model, and displays a three-dimensional view of the construction area corresponding to the task on the mobile terminal, assisting on-site personnel to quickly locate the work content and location.

[0065] In an optional embodiment, the system associates the collected construction progress data with the corresponding process node in the BIM model, and updates the status of the node to "completed", "in progress" or "postponed", thereby realizing real-time refresh of the model status.

[0066] In an optional embodiment, based on the actual deviation value fed back by the IoT sensor, the system automatically corrects the position and size attributes of the components in the BIM model, making the digital twin model closer to the physical construction site.

[0067] In an optional embodiment, a visual comparison view is automatically generated after the model is updated, highlighting the differences between the actual construction status and the original design, making it easier for managers to intuitively understand the progress of the construction.

[0068] In an optional embodiment, the system again compares the updated BIM model with the latest collected field data to identify whether there are new deviations or anomalies, such as progress not recovering as expected, equipment utilization rate being lower than a set threshold, etc.

[0069] In an optional embodiment, historical trend analysis is introduced into the consistency verification process to determine whether the current deviation falls within the normal fluctuation range or is an abnormal state requiring further intervention.

[0070] In an optional embodiment, the system compares the consistency verification result of this time with the previous verification results horizontally to analyze the effectiveness of the scheduling strategy and the degree of improvement it has on the construction status.

[0071] In an optional embodiment, the system generates a closed-loop feedback verification report based on the verification results, which includes indicators such as task completion, resource utilization, and deviation repair rate, and visually displays the scheduling results in the form of charts.

[0072] In an optional embodiment, if the verification result shows that the construction status has been restored to within the preset range, the scheduling is determined to be successful, and the system stores the scheduling process in the historical case library for reference in subsequent similar scenarios.

[0073] In an optional embodiment, if the verification result shows that the problem has not been solved or a new problem has emerged, the system will trigger a new round of scheduling process and increase the relevant weight parameters to improve the response strength and optimization effect of the next round of scheduling.

[0074] Example 3, reference Figure 2 , which is an embodiment of the present invention, also provides a smart construction site management platform, including: Model building module, used to obtain multi-source construction data and build a BIM-IoT fusion model; A consistency verification module is used to compare real-time data with design parameters through the BIM-IoT fusion model, generate consistency verification results, and upload them to the blockchain evidence storage module; An abnormality judgment module is used to judge whether there is an abnormal state based on the consistency verification result, and if there is an abnormality, call the resource scheduling engine to generate an optimized scheduling plan; A resource scheduling module is used to adjust the configuration of machinery, manpower and materials according to the optimized scheduling plan and collect execution feedback data; The closed-loop feedback module is used to update the execution feedback data to the BIM model, compare the updated design parameters with the field data again, and generate a closed-loop feedback verification result.

[0075] This embodiment also provides a computer device, which may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 2 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a smart construction site management method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0076] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps: acquiring multi-source construction data and constructing a BIM-IoT fusion model; Compare real-time data with design parameters through the BIM-IoT fusion model, generate consistency verification results, and upload them to the blockchain evidence storage module; Based on the consistency verification results, determine whether there is an abnormal state. If there is an abnormality, call the resource scheduling engine to generate an optimized scheduling plan; Adjust machinery, manpower and material configurations according to the optimized scheduling plan, and collect execution feedback data; Update the execution feedback data to the BIM model, compare the updated design parameters with the field data again, and generate closed-loop feedback verification results.

[0077] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0078] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a fully hardware embodiment, a fully software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present application may be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0079] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0080] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0081] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0082] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0083] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A smart construction site management method, characterized in that: include: Acquire multi-source construction data and build a BIM-IoT fusion model; Compare real-time data with design parameters through the BIM-IoT fusion model, generate consistency verification results, and upload them to the blockchain evidence storage module; Based on the consistency verification result, it is determined whether there is an abnormal state. If there is an abnormality, the resource scheduling engine is called to generate an optimized scheduling plan; Adjust the configuration of machinery, manpower and materials according to the optimized scheduling plan, and collect execution feedback data; The execution feedback data is updated to the BIM model, and the updated design parameters are compared with the field data again to generate a closed-loop feedback verification result.

2. The smart construction site management method according to claim 1, characterized in that: The construction of the BIM-IoT fusion model includes: Collect structural design data from the construction site and import it into the BIM database; Deploy an IoT sensor network to collect real-time information on construction site environmental parameters, equipment status, and personnel location; Receive construction logs, quality acceptance records and safety inspection data uploaded by manual input terminals; Performing spatiotemporal alignment processing on the BIM model, the collected IoT data, and the manually entered data; Build a BIM-IoT fusion model based on the aligned data.

3. The smart construction site management method according to claim 2, characterized in that: Generating the consistency verification result includes: Receive data consistency verification results output from the BIM-IoT fusion model, which include construction progress deviations, component installation errors, equipment operation status anomalies, and personnel operation compliance judgment information.

4. The smart construction site management method according to claim 3, characterized in that: Determining whether an abnormal state exists includes: An abnormality determination is performed on the consistency verification result according to a preset threshold value. If any verification indicator exceeds the set threshold value, it is determined to be a scheduling abnormality event; Extracting the current available resource status and constraints from the resource configuration database, wherein the available resource status includes the number of machinery and equipment, the number of workers on duty, the material inventory, and the critical path process schedule; and the constraints include the construction period limit, the budget limit, the safety risk level, and the equipment use priority; Inputting the scheduling exception event, available resource status and constraint conditions into the scheduling optimization module; Generate multiple resource scheduling candidate solutions through iterative genetic algorithms, and select the optimal scheduling solution based on a comprehensive evaluation model that scores the candidate solutions based on task completion time, resource utilization, conflict probability, and risk weight factors to select the optimal solution. The optimized scheduling plan is encapsulated as an executable instruction set and pushed to the construction site scheduling execution terminal.

5. The smart construction site management method according to claim 4, characterized in that: The adjustment of machinery, manpower and material configuration includes: Generate resource configuration adjustment instructions based on the optimized scheduling plan, and convert the resource allocation strategy in the scheduling plan into executable specific instructions, including the type and quantity of machinery and equipment, personnel team deployment arrangements, material arrival time and stacking location; Dispatch machinery, manpower, and materials at the construction site based on resource allocation adjustment instructions. This includes directing cranes and elevators through the construction site management system or automated dispatching mechanisms, arranging construction teams to work in designated areas, and coordinating with material suppliers to adjust the pace of transportation and delivery.

6. The smart construction site management method according to claim 5, characterized in that: The collection and execution feedback data includes: Sending the optimized scheduling plan to the execution terminal at the construction site; Adjust on-site resource allocation and carry out construction activities according to the scheduling plan, and dynamically allocate machinery and equipment, personnel teams and material supplies based on scheduling instructions; The construction status data during the execution process is collected, and the construction status data includes equipment operating status, personnel location, completion status of construction progress nodes, and changes in environmental parameters.

7. The smart construction site management method according to claim 6, characterized in that: Generating a closed-loop feedback verification result includes: Upload the collected construction status data to the BIM-IoT fusion model and update the model parameters, embedding the real-time data of the execution phase into the corresponding component level in the BIM model; Re-verify data consistency based on the updated BIM-IoT fusion model, and compare the updated model with the latest collected field data to identify any new deviations or anomalies; A closed-loop feedback verification report is generated based on the consistency verification results to determine whether the scheduling effect meets the standards. If the comparison results show that the construction status has returned to the expected range, the scheduling is considered successful. If there is still a deviation, a new round of scheduling process is started.

8. A smart construction site management platform, based on the smart construction site management method according to any one of claims 1 to 7, characterized in that: include, Model building module, used to obtain multi-source construction data and build a BIM-IoT fusion model; A consistency verification module is used to compare real-time data with design parameters through the BIM-IoT fusion model, generate consistency verification results, and upload them to the blockchain evidence storage module; An abnormality judgment module is used to judge whether there is an abnormal state based on the consistency verification result, and if there is an abnormality, call the resource scheduling engine to generate an optimized scheduling plan; A resource scheduling module is used to adjust the configuration of machinery, manpower and materials according to the optimized scheduling plan and collect execution feedback data; The closed-loop feedback module is used to update the execution feedback data to the BIM model, compare the updated design parameters with the field data again, and generate a closed-loop feedback verification result.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the smart construction site management method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the smart construction site management method according to any one of claims 1 to 7 are implemented.

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