Expressway bridge precast beam field progress data acquisition and comprehensive management method

Abstract

The invention belongs to the technical field of bridge engineering, and discloses an expressway bridge precast beam field progress data acquisition and comprehensive management method. Comprising the steps that key material feature information and site basic coordinate information corresponding to a precast beam field are obtained; carrying out data acquisition on gantry crane equipment in the precast beam field based on the field basic coordinate information and the key material feature information to obtain an original equipment operation data stream; the process state is judged in real time based on the original equipment operation data flow, a process state conversion sequence is obtained, and an overall production condition report is generated and obtained based on the process state conversion sequence; performing optimal configuration and scheduling planning on resources in the precast beam yard based on the overall production condition report to obtain a corresponding resource scheduling scheme; a production capacity analysis report and progress optimization suggestions are given; automatic monitoring and intelligent analysis of the production progress of the precast beam field are achieved, the production efficiency and the resource utilization rate are remarkably improved, and manual recording errors are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge engineering, and more particularly to a method for collecting and managing progress data of a prefabricated beam yard for a highway bridge. Background Art

[0002] Many new highway projects in my country utilize precast beam yards to produce segmental beams. This widespread adoption of precast beam yards in bridge construction significantly improves construction efficiency, ensures precast beam production progress, and shortens project construction periods.

[0003] Currently, RFID technology is the primary method for collecting information on the production progress of precast beams. This involves attaching unique RFID chips to precast beam materials, semi-finished products, and finished products. Managers then use handheld readers to scan the chips, identifying the process in which the beam is currently located and assessing its production progress. This method is labor-intensive and material-intensive, and insufficient staffing can lead to data being delayed. Damaged RFID chips can also render data inaccessible, making it impossible to record the location of beam production and storage in real time.

[0004] Bridges are key projects in highway projects. The production progress of precast beam yards often controls the construction period of bridge projects and even the entire highway project. Accurately grasping the real-time production progress information of precast beams is important for decision-makers. Therefore, improving the method of collecting precast beam production progress information is important for bridge projects.

[0005] Compared with existing technologies, traditional precast beam yard management methods generally lack accurate progress calculation models and often rely on empirical estimates or simple percentage methods. These methods fail to fully consider multi-dimensional factors such as process complexity, resource allocation, and production conditions, making it impossible to achieve truly accurate progress monitoring, increasing the risk of construction delays and resource waste. In terms of spatial positioning, existing technologies provide a crude understanding of precast beam yard layout, lacking precise modeling of spatial features such as functional zoning, pedestal distribution, and equipment operation paths. In particular, the quantification of the operating paths of key equipment such as gantry cranes is insufficient, making it impossible to accurately correlate equipment activity with process progress, increasing the difficulty of data collection. Furthermore, the lack of a dynamic progress assessment mechanism prevents real-time capture of changing patterns in production processes such as process conversion, material movement, and resource utilization, as well as their impact on overall progress, making it difficult to identify potential bottlenecks in a timely manner. In terms of resource scheduling, existing technologies mostly use simple empirical judgments or fixed schedules, lack data-driven comprehensive analysis capabilities, and are unable to establish a correlation model between process progress, resource utilization and production bottlenecks, resulting in inefficient resource allocation and difficulty in responding to production changes.

[0006] In view of this, the present invention proposes a comprehensive management method for collecting progress data of a highway bridge precast beam yard to solve the above problems. Summary of the Invention

[0007] In order to overcome the above-mentioned defects of the prior art and achieve the above-mentioned objectives, the present invention provides the following technical solutions: A comprehensive management method for collecting progress data of a highway bridge precast beam yard, comprising: Step S1: collecting key material information and regional coordinate information in the target precast beam yard to obtain a corresponding precast beam yard basic data set; the precast beam yard basic data set includes site basic coordinate information and key material feature information; Step S2: Constructing a spatial coordinate model of the precast beam yard based on the basic site coordinate information, and combining key material feature information to monitor the operation trajectory and collect weight data of the gantry crane equipment in the precast beam yard to obtain the corresponding original equipment operation data stream; Step S3: Based on the original equipment operation data stream, the process status in the precast beam yard is judged and recorded in real time to obtain the corresponding process status conversion sequence; based on this, the production progress of the precast beam yard is statistically analyzed to obtain the corresponding single beam production progress report; Step S4: Based on the single beam production progress report, data aggregation and statistical analysis are performed to obtain an overall production status report; based on the overall production status report, the resources in the precast beam yard are optimized and scheduled, and a corresponding resource scheduling plan is obtained and executed; Step S5: Based on the execution status of the resource scheduling plan, the production capacity in the precast beam yard is predicted, and a corresponding production capacity analysis report and schedule optimization suggestions are generated based on the prediction results.

[0008] Furthermore, the process of obtaining the basic dataset of the precast beam yard includes: Obtain the production process flow chart corresponding to the target precast beam yard, and based on it, perform process analysis and key point identification on the production process in the corresponding precast beam yard to obtain the corresponding process node list; Conduct material usage research and importance assessment on the corresponding process node list to obtain the corresponding preliminary material list; Based on key process nodes and combined with the preliminary bill of materials, material association analysis and process mapping are performed to obtain the corresponding process-material association map. Based on the obtained process-material association map, materials are screened and prioritized to obtain the corresponding key material set; Based on the obtained key material set, physical characteristics are measured and data is recorded to obtain a corresponding material characteristic parameter table; and the obtained material characteristic parameter table is standardized and indexed to obtain a corresponding key material characteristic data set; At the same time, coordinates of the target precast beam yard are collected to obtain the corresponding site basic coordinate data; By integrating and associating the collected site basic coordinate data and key material feature data sets, a structured precast beam basic data set is formed and uploaded to a pre-built database for data storage.

[0009] Furthermore, the construction process of the spatial coordinate model of the precast beam yard includes: Performing three-dimensional modeling and spatial reconstruction based on the obtained site basic coordinate data to obtain a corresponding initial site model; performing functional identification and boundary division on the initial site model to obtain a corresponding regional distribution map; and performing pedestal positioning and number assignment based on the regional distribution map to obtain a corresponding pedestal information table; Obtain the model specifications of precast beams, and analyze the pedestal capacities corresponding to different production pedestals based on the pedestal information table to obtain the corresponding pedestal capacity matrix; perform spatial data integration and model construction based on the pedestal capacity matrix and regional distribution map to obtain the corresponding precast field spatial coordinate model.

[0010] Furthermore, the process of obtaining the original device operation data stream includes: Setting a data acquisition unit, and collecting operating data in a target gantry crane device based on the data acquisition unit to obtain corresponding device operating data; Perform data cleaning and outlier detection on the collected equipment operation data to obtain the corresponding valid time data series; perform timestamp synchronization and data association on the valid time data series to obtain the corresponding time series association data set; Perform three-dimensional position tracking and coordinate conversion based on the corresponding time-series correlation data set to obtain the corresponding hook spatial position sequence; perform position matching and region identification based on the hook spatial position sequence and the precast beam yard spatial coordinate model to obtain the corresponding hook region attribution record; Obtain the hook weight from the equipment operation data, perform threshold analysis and change rate calculation on it, and identify the corresponding load change events. Based on the identified load change events, feature matching is performed in conjunction with the key material feature database to obtain preliminary material identification results and verify them to obtain the required material identification result set. The material identification result set and the hook area attribution record are timestamp aligned and data fused to obtain a corresponding multi-source data association table; data stream is constructed and transmitted in real time based on the multi-source data association table to obtain a corresponding original equipment operation data stream.

[0011] Furthermore, the process of obtaining the process state transition sequence includes: Performing time window segmentation and event extraction on the original device operation data stream to obtain a corresponding device operation event sequence; and performing operation pattern recognition and feature vectorization based on the device operation event sequence to obtain a corresponding operation feature vector set; Extracting a material transfer path based on the obtained original equipment operation data stream, wherein the material transfer path includes the starting point and end point of the gantry crane equipment in a non-empty state and the movement trajectory; Based on the operation feature vector set, hook weight and material transfer path, and combined with the pre-built process judgment rule library, process feature matching is performed to obtain the corresponding preliminary process judgment result; the preliminary process judgment result includes the process type and process execution location corresponding to the current production process; Based on the spatial coordinate model of the precast beam yard, the pedestal standardization and numbering of the process execution location are carried out to obtain the production pedestal and corresponding pedestal number associated with the corresponding process type; Construct a pedestal state migration model and obtain the pedestal state changes of the associated production pedestals based on it; Based on the change of the pedestal status and the time stamp and duration acquisition of the execution process of the process type, the corresponding process execution record is obtained; Summarize the obtained preliminary process judgment results, pedestal numbers and process execution records to obtain the corresponding precast beam process status records; Obtain the precast beam process status records corresponding to each production process in the precast beam yard, and generate the corresponding process state transition sequence based on it.

[0012] Furthermore, the process of obtaining the single beam production progress report includes: The process state transition sequences are grouped and associated with precast beams to obtain a corresponding single-beam process record set, and process completion evaluation and time statistics are performed based on the single-beam process record set to obtain a corresponding process time analysis table; Calculate the deviation between the obtained process time analysis table and the pre-set precast beam production period to obtain the production progress deviation corresponding to the corresponding precast beam; and conduct a comprehensive evaluation of the production progress of the corresponding individual precast beam based on the production progress deviation to obtain the corresponding production evaluation result; Based on the production assessment results and the single beam process record set, the current process is identified and the remaining construction period is predicted to obtain a corresponding remaining process schedule; and based on the remaining process schedule and historical production data, completion time estimation and risk assessment are performed to obtain a corresponding completion forecast report; Based on the completion forecast report and production assessment results, data integration and report generation are performed to obtain a corresponding single beam production progress report.

[0013] Furthermore, the process of obtaining the overall production status report includes: Classify, summarize, and perform statistical calculations on the single beam production progress reports to obtain corresponding beam yard production statistics, and perform time series analysis and capacity assessment based on the beam yard production statistics to obtain corresponding capacity utilization indicators; Based on the single beam production progress report, pedestal status extraction and occupancy statistics are performed to obtain corresponding pedestal occupancy rate data, and pedestal utilization efficiency analysis and bottleneck identification are performed based on the pedestal occupancy rate data to obtain a corresponding pedestal resource assessment report; Based on the single beam production progress report, the number of work-in-process products is counted and the distribution analysis is performed to obtain a corresponding work-in-process status matrix. Based on the work-in-process status matrix, process balance assessment and process optimization suggestions are performed to obtain a corresponding production balance analysis report; Based on the capacity utilization index, the platform resource assessment report and the production balance analysis report, data integration and visualization processing are performed to obtain a corresponding overall production status report.

[0014] Furthermore, the process of obtaining the resource scheduling solution includes: Conduct problem identification and bottleneck analysis on the overall production status report of the beam yard to obtain a production bottleneck list; conduct root cause analysis and resource demand assessment based on the production bottleneck list to obtain a resource demand matrix; and conduct resource matching analysis and gap calculation based on the resource demand matrix and existing resource conditions to obtain a resource gap report; According to the resource gap report, resource allocation priorities are sorted and allocation strategies are formulated to obtain a preliminary resource allocation plan; production simulation and effect evaluation are performed on the obtained preliminary resource allocation plan to obtain a set of plan evaluation indicators; Compare and optimize the plans based on the plan evaluation indicator set to obtain the optimized resource allocation plan; then formulate implementation plans and assign responsibilities based on them to obtain and execute the corresponding resource allocation optimization plan.

[0015] Furthermore, the process of generating the corresponding production capacity analysis report includes: Monitor and collect data on the execution process of the resource scheduling plan to obtain a plan execution data set; compare and analyze the difference between the plan execution data set and the expected scheduling target to obtain a scheduling effect evaluation report; Based on the pre-built production capacity evaluation index system, the production capacity of the precast beam yard is comprehensively evaluated and predicted in the future to obtain a production capacity analysis report.

[0016] Furthermore, the process of generating schedule optimization suggestions includes: conducting process improvement analysis based on the production capacity analysis report to obtain a list of process improvement suggestions; and formulating a prefabricated beam yard schedule optimization strategy in combination with the process improvement suggestion list and historical resource allocation strategy to obtain corresponding schedule optimization suggestions; and feeding back the obtained production capacity analysis report and schedule optimization suggestions to the corresponding management personnel.

[0017] The technical effects and advantages of the method for collecting and managing progress data of a highway bridge prefabricated beam yard according to the present invention are as follows: 1. Use gantry cranes to monitor weight and movement data to determine beam yard production progress data. Utilizing gantry crane data can reduce the workload of manual progress reporting and ensure that beam yard production progress information is reported to project managers in a timely and accurate manner; 2. Through systematic analysis of the process judgment rule base, operation feature vector set, and material transfer path, a process state transition sequence was constructed, enabling automated monitoring of production progress and accurate assessment of single-beam production progress, allowing managers to understand the execution status and completion status of each production process in real time; 3. Based on multi-source data fusion technology, a comprehensive production status assessment system was established, which provides quantitative indicators that fully reflect the operating efficiency of the precast beam yard, enables accurate identification of production bottlenecks and scientific decision-making on resource allocation; 4. Through production bottleneck list analysis and resource demand matrix assessment, we achieved intelligent optimization of resource scheduling plans and scientific prediction of production capacity, maximizing resource utilization efficiency while ensuring product quality, and significantly improving the overall production efficiency and management level of the precast beam yard. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of a comprehensive management method for collecting progress data at a highway bridge precast beam yard according to the present invention; Figure 2 The present invention is a schematic diagram of a method system for collecting and managing progress data of a highway bridge precast beam yard. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] Example 1 See also Figure 1As shown, the method for collecting and managing progress data of a highway bridge precast beam yard described in this embodiment includes: Step S1: collecting key material information and regional coordinate information in the target precast beam yard to obtain a corresponding precast beam yard basic data set; the precast beam yard basic data set includes site basic coordinate information and key material feature information; Step S2: Constructing a spatial coordinate model of the precast beam yard based on the basic site coordinate information, and combining key material feature information to monitor the operation trajectory and collect weight data of the gantry crane equipment in the precast beam yard to obtain the corresponding original equipment operation data stream; Step S3: Based on the original equipment operation data stream, the process status in the precast beam yard is judged and recorded in real time to obtain the corresponding process status conversion sequence; based on this, the production progress of the precast beam yard is statistically analyzed to obtain the corresponding single beam production progress report; Step S4: Based on the single beam production progress report, data aggregation and statistical analysis are performed to obtain an overall production status report; based on the overall production status report, the resources in the precast beam yard are optimized and scheduled, and a corresponding resource scheduling plan is obtained and executed; Step S5: Based on the execution status of the resource scheduling plan, the production capacity in the precast beam yard is predicted, and a corresponding production capacity analysis report and schedule optimization suggestions are generated based on the prediction results.

[0021] It should be further explained that, in the specific implementation process, the acquisition process of the precast beam yard basic data set includes: Obtain the production process flow chart corresponding to the target precast beam yard, and based on it, perform process analysis and key point identification on the production processes in the corresponding precast beam yard to obtain a corresponding process node list; process analysis refers to obtaining the various production processes and process connection points corresponding to the production processes of the precast beam yard by performing image recognition on the production process flow chart, and systematically decomposing the production processes in the precast beam yard based on the identified production processes and process connection points to obtain a number of production process nodes; key point identification is based on the production process flow chart, combined with the historical experience of experts to identify and extract the production process nodes that have a decisive impact on the production progress and production quality of the precast beam yard, and obtain the corresponding key process nodes; key process nodes may include process nodes such as steel bar binding, formwork support, concrete pouring, prestressing, grouting, and demoulding; Conduct material usage surveys and importance assessments on the corresponding process node lists to obtain the corresponding preliminary material lists. Material usage surveys refer to statistically analyzing the usage frequency and quantity of different materials in each key process node through field research, production record analysis, and production process review. Importance assessments refer to using a multi-criteria evaluation method to measure the importance of various materials by comprehensively considering factors such as material cost, frequency of use, and difficulty of substitution, and assigning corresponding importance scores to each material based on these factors. Based on key process nodes and combined with the preliminary bill of materials, material association analysis and process mapping are performed to obtain the corresponding process-material association map. Material association analysis refers to obtaining the material combination pattern within different key process nodes by evaluating the dependencies and complementarities between different materials. Process mapping establishes the corresponding relationship between materials and production processes in the precast beam yard to clarify the usage of various materials within different key process nodes. Based on the obtained process-material association map, materials are screened and prioritized to obtain a corresponding set of key materials. Material screening involves evaluating the correlation between materials and corresponding key process nodes based on the constructed process-material association map, and marking materials with correlations higher than a preset correlation threshold as key materials. For example, the more frequently a certain type of material is used and the more usage data it has in a certain key process node, the higher the correlation between the corresponding material and the corresponding key process node. Priority sorting involves sorting the marked key materials according to the importance scores of each type of material to form a corresponding set of key materials. Based on the obtained key material set, physical characteristic measurements and data recording are performed to obtain a corresponding material characteristic parameter table; material characteristic measurement refers to multiple measurements of key materials in the corresponding precast beam yard using pre-selected precision weighing equipment and dimension measuring equipment to obtain the material characteristic parameters corresponding to each key material, including material weight, volume, density and other parameters; data recording is performed by using standardized recording forms to record the average value and standard deviation of multiple measurement results to form a corresponding material characteristic parameter table to ensure data accuracy and consistency; for example, the obtained material characteristic parameter table may include the weight of the precast beam reinforcement cage, the weight of the precast beam, the weight of the formwork block, the weight of the full and empty concrete bucket, the weight of the prestressing tensioning equipment, and the weight of the duct grouting equipment; Then, the obtained material characteristic parameter table is standardized and indexed to obtain the corresponding key material characteristic data set. Standardization refers to converting the recorded physical characteristic parameters from different dimensions to a unified scale through the min-max method to ensure data comparability. Index construction uses a multi-level index structure to construct a data index including dimensions such as material category, specification model, and characteristic parameter to facilitate rapid retrieval and matching. Coordinate collection is performed on the target precast beam site to obtain the corresponding site basic coordinate data. Coordinate collection refers to the use of high-precision measurement equipment such as total stations and RTK-GPS to conduct on-site measurements of key points in the corresponding precast beam production area to obtain the corresponding spatial coordinates of each key point. The coordinate collection process must follow a unified coordinate system, such as the WGS84 coordinate system. Key points include site boundary points, functional area demarcation points, and key facility location points to form a site basic coordinate data set. For example, the coordinates of the steel bar processing fixed pedestal, the plane coordinates of the material area, the coordinates of the corner points of the precast fixed pedestal, and the coordinates of the corner points of the beam storage pedestal. Furthermore, by integrating and associating the collected site basic coordinate data and key material feature data sets, a structured precast beam basic data set is formed, and uploaded to a pre-built database for data storage.

[0022] It should be further explained that, in the specific implementation process, the construction process of the spatial coordinate model of the precast beam yard includes: Based on the obtained site basic coordinate data, three-dimensional modeling and spatial reconstruction are performed to obtain the corresponding initial site model. The three-dimensional modeling uses computer-aided design software (such as AutoCAD and Revit) to convert the discrete coordinate points in the site basic coordinate data into a continuous three-dimensional model through surface fitting and boundary construction. During the spatial reconstruction process, a virtual model that conforms to the actual production environment is constructed by considering the terrain undulations, facility distribution, and regional functions. The corresponding initial site model is formed by combining the three-dimensional modeling process and the spatial reconstruction process. Functional identification and boundary demarcation are performed on the initial site model to obtain a corresponding regional distribution map, which includes the boundary coordinates of functional zones such as the rebar processing zone, rebar skeleton binding zone, prefabrication zone, and beam storage zone. Functional identification refers to obtaining the location and range of each functional zone within the target prefabricated beam yard based on the production process and site layout within the prefabricated beam yard and the actual site conditions. Boundary demarcation defines the geometric boundaries of each functional zone using the basic site coordinate data. Through functional identification and boundary demarcation, the prefabricated beam yard is divided into multiple functional zones, such as the rebar processing zone, rebar skeleton binding zone, prefabrication zone, and beam storage zone. The boundary coordinates of each functional zone are recorded to form a regional distribution map. Based on the regional distribution map, pedestals are located and numbered to obtain the corresponding pedestal information table. Pedestal location refers to obtaining the precise coordinate position of each production pedestal in the precast beam yard in the same coordinate system based on the site basic coordinate data and regional distribution map. Number allocation assigns a unique identifier to each production pedestal to facilitate subsequent data association and status tracking. Obtain the model specifications of known precast beams, and analyze the pedestal capacities corresponding to different production pedestals based on the pedestal information table to obtain the corresponding pedestal capacity matrix; pedestal capacity analysis refers to obtaining the number of precast beams that can be accommodated simultaneously in different production pedestals based on the geometric dimensions of the production pedestals and the spatial requirements of the precast beams; perform spatial data integration and model construction based on the pedestal capacity matrix and regional distribution map to obtain the corresponding precast yard spatial coordinate model; spatial data integration refers to integrating pedestal information, pedestal capacity and functional zoning into a unified coordinate system; model construction is to geometrically express and assign attributes to the data after spatial data integration through topological relationship analysis, and construct a precast beam yard spatial coordinate model containing multi-level elements such as points, lines, and surfaces to ensure the accurate expression of spatial position, correct description of regional relationships and accuracy of distance calculation.

[0023] It should be further explained that, in the specific implementation process, the process of obtaining the original device operation data stream includes: Set up a data acquisition unit, which consists of a weight sensor terminal, a speed sensor terminal, a position sensor terminal, and an angle sensor terminal, and deploy it to the gantry crane equipment in the target precast beam yard; The data acquisition unit collects the operating data of the target gantry crane equipment to obtain the corresponding equipment operating data, including the vehicle travel (longitudinal position of the gantry crane), trolley travel (lateral position of the gantry crane trolley), hook depth (vertical position of the hook), and hook weight corresponding to the gantry crane equipment; Data cleaning and outlier detection are performed on the collected equipment operation data to obtain the corresponding valid time data series. Data cleaning refers to the removal of signal interference and noise generated during the data collection process based on a pre-selected low-pass filter. Outlier detection refers to the use of a median filter algorithm to identify and delete abnormal data points caused by factors such as equipment vibration, electromagnetic interference, or sensor failure. Perform timestamp synchronization and data association on valid time data sequences to obtain corresponding time series association data sets. Timestamp synchronization refers to aligning the time of data collected by different sensor terminals to unify them to the same time scale; data association combines data from different sensors at the same time point to form a complete gantry crane equipment data set. Based on the corresponding time-series correlation data set, three-dimensional position tracking and coordinate conversion are performed to obtain the corresponding hook spatial position sequence. Three-dimensional coordinate tracking refers to obtaining the three-dimensional coordinates corresponding to the hook position in the gantry crane equipment at different time nodes based on the time-series correlation data. Coordinate conversion is used to map the obtained three-dimensional coordinates to the coordinate system corresponding to the prefabrication site spatial coordinate model. Based on the hook spatial position sequence and the precast beam yard spatial coordinate model, position matching and region identification are performed to obtain the corresponding hook region ownership record; position matching refers to spatially corresponding the three-dimensional coordinates corresponding to the hook with the coordinate system within the precast beam yard spatial coordinate model to obtain the spatial position of the corresponding hook within the corresponding precast beam yard spatial coordinate model; region identification uses a boundary judgment algorithm and combines the identified spatial position to perform functional zoning attribution judgment to obtain the functional zoning to which the hook position belongs at different time nodes, and based on this, forms the corresponding hook region ownership record; Obtain hook weight from equipment operation data and perform threshold analysis and rate of change calculation to identify corresponding load change events. Threshold analysis classifies the hook load status, such as empty, lightly loaded, and fully loaded, using preset weight thresholds. Rate of change calculation obtains the rate of change of the hook weight over a continuous period of time based on equipment operation data to identify loading and unloading events. Based on the identified load change event, feature matching is performed in conjunction with the key material feature database to obtain preliminary material identification results. Feature matching compares the hook weight with the average and standard deviation of the hook weights recorded in the key material feature database to obtain a highly matching material category. Combined with the current hook area attribution record, a comprehensive judgment is made to obtain the corresponding preliminary material identification results. For example, based on the functional definition of the functional zone to which the hook belongs, the material type is further determined and the material attributes are identified, including the model and specifications of the precast beam and the type of steel cage. Verify and correct the currently obtained preliminary material identification results based on the historical feature matching results to obtain the required material identification result set; The material identification result set and the hook area attribution records are timestamp aligned and data fused to obtain the corresponding multi-source data association table; based on the multi-source data association table, data stream construction and real-time transmission are performed to obtain the corresponding original equipment operation data stream; data stream construction refers to organizing discrete data points into a continuous data stream, containing information such as time, location, weight and material type; real-time transmission is to upload and store the original equipment operation data stream through the network.

[0024] It should be further explained that, in the specific implementation process, the process of obtaining the process state transition sequence includes: The original equipment operation data stream is segmented into time windows and extracted to obtain the corresponding equipment operation event sequence. Time window segmentation refers to dividing the continuous original equipment operation data stream into discrete data segments according to the same time interval or event boundary. Event extraction is used to extract discrete events with clear operational semantics from the corresponding data judgment. For example, operational behaviors such as lifting start, load change, smooth movement and placement completion are assigned corresponding timestamps, location information and status parameters to form a structured description of the operational event, ensuring that the original operational intent and behavioral characteristics are retained while reducing data redundancy and computational complexity. Based on the equipment operation event sequence, operation pattern recognition and feature vectorization are performed to obtain the corresponding operation feature vector set. Operation pattern recognition is used to identify and extract typical operation behaviors within the equipment operation event sequence, such as lifting, moving, and lowering the hook. Feature vectorization is used to perform multi-dimensional feature quantification processing on the identified typical operation behaviors to form a standardized operation feature vector. For example, the operation behavior of a gantry crane can be converted into a numerical representation including speed distribution characteristics, load change patterns, position dwell characteristics, operation continuity indicators, and area transition characteristics. Extract the material transfer path based on the original equipment operation data stream. The material transfer path includes the starting and ending points of the gantry crane equipment when it is not empty and its movement trajectory. The material transfer path is determined by analyzing the movement trajectory of the gantry crane equipment when it is not empty. Then, based on the set of operation feature vectors, hook weight, and material transfer path, and in combination with the pre-built process judgment rule library, process feature matching is performed to obtain the corresponding preliminary process judgment result. Process feature matching refers to identifying the type of process currently being executed in the precast beam yard by comparing the actual material transfer path and hook weight with the similarity of the production process template specified in the process judgment rule library, and verifying and correcting the identified process type in combination with the operation feature vector to form the corresponding preliminary process judgment result. The preliminary process judgment result includes information such as the process type and process execution location corresponding to the current production process. Perform time series analysis and logic verification on the identified process types to determine the effectiveness and completeness of the corresponding production process execution. Time series analysis checks whether the time sequence of process execution meets production process requirements. Logic verification checks whether the connection between adjacent processes is reasonable, such as whether "rebar binding" must be performed after "mold installation." Based on the spatial coordinate model of the precast beam yard, the process execution location is pedestal-standardized and numbered to obtain the production pedestal and corresponding pedestal number associated with the corresponding process type; pedestal matching refers to determining the production pedestal corresponding to the process execution location through spatial coordinate matching; number identification refers to obtaining the pedestal number of the associated production pedestal based on the pedestal information table; Construct a pedestal state transition model and obtain the pedestal state changes of the associated production pedestals based on it; the pedestal state transition model is used to describe the state change process of the production pedestals in the corresponding precast beam yard from idle to occupied and then to completed; Then, based on the change of the pedestal state and the time stamp and duration of the execution process of the process type, the corresponding process execution record is obtained; the process execution record includes the execution time and duration of the corresponding production process; Then, the obtained preliminary process judgment results, pedestal numbers and process execution records are summarized to obtain the corresponding precast beam process status records; Then, the precast beam process status records corresponding to each production process in the precast beam yard are obtained, and the corresponding process state transition sequence is generated based on the records; the process state transition sequence includes information such as the start time, end time, duration, and associated production adjustment number of each production process; The pre-built process judgment rule library includes: 1) During precast beam construction, when the weight lifted by the gantry crane is approximately equal to the weight of the formwork block Wm, it is determined that the formwork installation of this type of precast beam has begun; when its release position is in the precast platform area with the status of "occupied" and the preceding process is "rebar skeleton binding process", it is determined that this type of precast beam is in the "formwork support process"; 2) During precast beam construction, when the weight lifted by the gantry crane is approximately equal to the weight Wz of the intelligent tensioning equipment, and the preceding process is the "concrete pouring process", it is determined to be the "tensioning process" of a certain type of precast beam; 3) During precast beam construction, when the weight lifted by the gantry crane is approximately equal to the weight Wy of the intelligent grouting equipment, and the preceding process is the "tensioning process", it is determined that a certain type of precast beam is grouting; 4) During precast beam construction, when the gantry crane lifts a weight approximately equal to the concrete beam weight WL, and the preceding process is the "precast beam grouting process," it is determined to be the "beam moving process" for a certain model of precast beam, and the pedestal status changes to "idle"; 5) During precast beam construction, when the gantry crane releases the weight WL of the concrete beam and there is a beam storage area in the lifting position, it is determined that a certain type of precast beam is stored; the beam storage pedestal number and layer number are determined based on the plane coordinates and height where the hook is released; It should be further explained that the process judgment rule library mentioned in the present invention is only a partial example and is not a complete process judgment rule library.

[0025] It should be further explained that, in the specific implementation process, the process of obtaining the single beam production progress report includes: The process state transition sequences are grouped and associated with precast beams to obtain the corresponding single-beam process record set. Based on the single-beam process record set, process completion evaluation and time statistics are performed to obtain the corresponding process time analysis table. Grouping and associating with precast beams means that the process state transition sequences are grouped according to the precast beam identification, and each production process event in the process state transition sequence is assigned to the corresponding precast beam, forming a complete single-beam production process chain and establishing a corresponding relationship between the process and the specific precast beam. Process completion evaluation means that the actual execution of each production process is scored according to the industry process specifications and standards, and the process time analysis table is formed in combination with process time statistics. The precast beam identification refers to the precast beam index assigned to each precast beam before and after production. The deviation between the obtained process time analysis table and the pre-set precast beam production period is calculated to obtain the production progress deviation corresponding to the individual precast beam; and a comprehensive evaluation is performed on the production progress of the corresponding individual precast beam based on the production progress deviation to obtain the corresponding production evaluation result. The comprehensive evaluation is to classify the production progress of the corresponding precast beam into different progress levels such as normal, slightly delayed, and significantly delayed based on the production progress deviation to form the corresponding production evaluation result; Based on the production assessment results and the single-beam process record set, the current process is identified and the remaining construction period is predicted to obtain the corresponding remaining process schedule. Current process identification refers to determining the current production process and completion level of each precast beam under construction by analyzing the latest single-beam process record set. The remaining process schedule is used to represent the remaining processes required for each precast beam to complete from its current state, including the process name, expected start time, standard construction period, and expected completion time. Completion time estimation and risk assessment are performed based on the remaining process schedule and historical production data to obtain a corresponding completion forecast report. Completion time estimation refers to combining historical production data of similar precast beams with current resource allocation to comprehensively predict the completion time of the remaining processes and assess possible delay risk factors. Based on the completion forecast report and production assessment results, data integration and report generation are performed to obtain the corresponding single-beam production progress report; data integration refers to the fusion of the completion forecast report and the production assessment index results to form a comprehensive information set that fully reflects the single-beam production status; for example: key indicators such as the expected completion date, progress deviation level, process quality score and delay risk factors are structured and organized; report generation refers to the conversion of the integrated data into standardized charts, trend lines and text descriptions to facilitate management personnel to intuitively grasp the production progress.

[0026] It should be further explained that, in the specific implementation process, the process of obtaining the overall production status report includes: Single-beam production progress reports are categorized, summarized, and statistically calculated to obtain corresponding beam yard production statistics. Time series analysis and capacity assessment are then conducted based on these statistics to obtain corresponding capacity utilization indicators. Categorization and summarization involves categorizing and statistically analyzing single-beam progress data based on multiple dimensions, such as precast beam model and specification, production process, and time period. Examples include weekly and monthly production of precast beams of different models and specifications, the number of completed production processes, and the throughput capacity of the production line. Capacity assessment involves comparing actual production with theoretical production capacity to calculate the capacity utilization efficiency of each production process and the overall beam yard. Based on the single-beam production progress report, the pedestal status extraction and occupancy statistics are performed to obtain the corresponding pedestal occupancy rate data, and the pedestal utilization efficiency and bottleneck identification are performed based on the pedestal occupancy rate data to obtain the corresponding pedestal resource assessment report; pedestal status extraction refers to extracting key information such as the real-time usage status, occupancy time and turnover frequency of various production pedestals from the single-beam progress report; for example: the idle status of prefabricated pedestals, the occupancy time of binding pedestals, the distribution of prefabricated beams on pedestals in the beam storage area, etc.; among them, the pedestal occupancy rate data represents the quantitative indicators of the time utilization and space utilization of production pedestals in each functional area of ​​the prefabricated beam yard; bottleneck identification refers to identifying resource bottlenecks and inefficient links in the production process by analyzing and comparing the occupancy rate differences and turnover speeds of different production pedestals; Based on the single-beam production progress report, the number of work-in-process products (WIP) is counted and analyzed for distribution, and the corresponding WIP status matrix is ​​obtained. Based on the WIP status matrix, process balance assessment and process optimization suggestions are made to obtain the corresponding production balance analysis report. Work-in-progress statistics accurately count and dynamically track the number of precast beams in different production processes, creating a comprehensive view of intermediate production status. For example, the number of precast beams in the reinforcement binding stage, the number of precast beams undergoing curing after pouring, and the number of precast beams that have completed tensioning and are awaiting grouting. Process balance assessment analyzes the capacity matching and flow efficiency between adjacent production processes to identify imbalances and backlogs in the production process. Based on the capacity utilization index, platform resource assessment report and production balance analysis report, data integration and visualization are carried out to obtain the corresponding overall production status report.

[0027] It should be further explained that, in the specific implementation process, the process of obtaining the resource scheduling plan includes: Problem identification and bottleneck analysis are performed on the overall production status report of the beam yard to obtain a production bottleneck list. The production bottleneck list includes information such as bottleneck processes, bottleneck locations, impact levels, duration, and associated resources. Problem identification involves analyzing the overall production status report to identify key issues affecting production efficiency and progress. Examples include processes with abnormally low capacity utilization, pedestal groups with continuously declining turnover rates, production links with severe WIP accumulation, or time periods with uneven resource allocation. Bottleneck analysis involves quantitatively comparing the capacity, resource utilization, and WIP turnover speed of each production process to identify weak links and causes that restrict the overall production process. Based on the production bottleneck list, root cause analysis and resource demand assessment are conducted to obtain a resource demand matrix. Root cause analysis involves using problem tracing methods to deeply explore the underlying causes and inherent connections corresponding to surface bottleneck problems, forming a causal chain structure. For example, insufficient production capacity in the tensioning process may be due to factors such as insufficient equipment, limited operator skills, quality fluctuations in the preceding process, or unreasonable process parameter settings. Resource demand assessment involves quantitatively analyzing and prioritizing the type, quantity, and quality of resources required to resolve each bottleneck problem based on the root cause analysis results. The resource demand matrix represents the multi-dimensional resource allocation structure required to resolve various bottleneck problems, including key elements such as human resource requirements, equipment and facility requirements, technical process requirements, management process requirements, and time investment requirements. Based on the resource demand matrix and existing resource conditions, resource matching analysis and gap calculation are performed to generate a resource gap report. Resource matching analysis uses a comparative approach to evaluate the compatibility and satisfaction between existing resource allocation and the resources required to resolve bottlenecks, forming a quantitative matching index. Gap calculation is used to uniformly quantify resource gaps in different dimensions and establish a horizontally comparable resource gap assessment system. The resource gap report provides a structured analysis document of the supply and demand balance and gap distribution of various production factors in the precast beam yard. Based on the resource gap report, resource allocation priorities are sorted and allocation strategies are formulated to obtain a preliminary resource allocation plan. Resource allocation priorities refer to the scientific sorting and grading of various resource needs based on multi-dimensional indicators such as bottleneck severity, impact scope, and urgency of resolution, thereby forming a priority order for resource input. Allocation strategy formulation refers to the development of specific resource acquisition, allocation, and utilization plans based on resource priority and availability, including a combination of strategies such as allocating internal resources, introducing external resources, and improving the efficiency of existing resources. Based on the preliminary resource allocation plan, production simulation and effect evaluation are conducted to obtain a set of plan evaluation indicators. Production simulation refers to the virtual operation and data collection of the production process after the implementation of the resource allocation plan through computer modeling or scenario deduction methods to predict the implementation effect. Effect evaluation refers to the quantitative evaluation of the performance of each dimension of the plan by comparing the simulation results with the expected requirements. Compare and optimize the options based on the option evaluation indicator set to obtain the optimized resource allocation plan. Option comparison refers to the quantitative analysis and horizontal comparison of the feasibility, economy, timeliness and synergy of the preliminary resource allocation plan through multi-dimensional evaluation indicators to identify the optimal implementation path. Optimization refers to the fine-tuning of the resource quantity, input timing and configuration structure in the preliminary resource allocation plan based on the option comparison results to balance short-term benefits with long-term development needs. Based on the optimized resource allocation plan, implementation plans are formulated and responsibilities are allocated to obtain and execute the optimized resource allocation plan; implementation plan formulation refers to converting the resource allocation plan into a specific action schedule and step-by-step process, clarifying the implementation path, time nodes and stage goals of various resource adjustments.

[0028] It should be further explained that, during the specific implementation process, the process of generating the corresponding production capacity analysis report and schedule optimization suggestions includes: Monitor and collect data on the execution of the resource scheduling plan to obtain a plan execution data set. Compare and analyze the plan execution data set with the expected scheduling target to obtain a scheduling effect evaluation report. Comparison and difference analysis refers to the use of data comparison methods to evaluate the match and deviation between the actual resource allocation execution results and the expected scheduling target. Construct a production capacity evaluation index system. The production capacity evaluation index system represents a set of structured indicators for scientifically evaluating the overall and sub-item production capacity of the precast beam yard. The system includes multi-level evaluation dimensions such as basic production capacity indicators, resource efficiency indicators, system coordination indicators, quality assurance indicators, and sustainable development indicators. The specific construction process is based on existing technology and will not be elaborated in this application. A comprehensive assessment and future forecast of the precast beam yard's production capacity is conducted based on the production capacity assessment index system, resulting in a production capacity analysis report. The comprehensive assessment involves quantitatively evaluating the precast beam yard's production capacity, resource efficiency, and production synergy through the application of the production capacity assessment index system. Future forecasts, based on the comprehensive assessment results and combined with historical data, provide scientific predictions of future production capacity changes, resource demand, and bottleneck evolution. Based on the production capacity analysis report, process improvement analysis is conducted to obtain a list of process improvement suggestions. The list of process improvement suggestions and historical resource allocation strategies are combined to formulate a precast beam yard schedule optimization strategy and obtain corresponding schedule optimization suggestions. Process improvement analysis refers to identifying production capacity bottlenecks and optimizable technical parameters in inefficient production processes, and providing improvement suggestions based on historical expert experience. The obtained production capacity analysis report and schedule optimization suggestions are fed back to the corresponding management personnel.

[0029] The present invention systematically collects and standardizes key material information and regional coordinate information of the precast beam yard to establish a structured precast beam yard basic data set; utilizes the site basic coordinate information for three-dimensional modeling and function identification to construct an accurate precast beam yard spatial coordinate model; monitors the operation trajectory and collects weight data of the gantry crane equipment based on a multi-sensor terminal to form a real-time and continuous raw equipment operation data stream; performs real-time judgment of the process status through operation feature quantization and process feature matching to generate a complete process state transition sequence; evaluates the process completion and predicts the remaining construction period of the single-beam process record set to form a detailed single-beam production progress report; identifies production bottlenecks and resource requirements based on multi-dimensional statistical analysis to achieve precise optimization and scheduling planning of resource allocation; and combines execution status data to conduct a comprehensive assessment of production capacity and future predictions to provide scientific progress optimization suggestions. This method combines the real-time data collection capabilities of IoT sensor technology with the intelligent decision-making characteristics of data analysis to construct an automated, precise, and sustainably optimized precast beam yard production progress management system.

[0030] Example 2 See also Figure 2 As shown, for parts not described in detail in this embodiment, please refer to the description of Example 1. A comprehensive management system for collecting progress data of a highway bridge precast beam yard is provided, including: Site collection module: used to collect key material information and regional coordinate information in the target precast beam yard to obtain the corresponding precast beam yard basic data set; the precast beam yard basic data set includes site basic coordinate information and key material feature information; Equipment acquisition module: This module builds a spatial coordinate model of the precast beam yard based on the basic site coordinate information, and combines key material feature information to monitor the operation trajectory and collect weight data of the gantry crane equipment in the precast beam yard to obtain the corresponding original equipment operation data stream; Single-unit evaluation module: Based on the original equipment operation data stream, the process status in the precast beam yard is judged and recorded in real time to obtain the corresponding process status conversion sequence; based on this, the production progress of the precast beam yard is statistically analyzed to obtain the corresponding single beam production progress report; Resource scheduling module: Based on the single beam production progress report, data aggregation and statistical analysis are performed to obtain an overall production status report. Based on the overall production status report, the resources in the precast beam yard are optimized and scheduled, and the corresponding resource scheduling plan is obtained and executed; Data feedback module: predicts the production capacity of the precast beam yard based on the execution status of the resource scheduling plan, and generates corresponding production capacity analysis reports and schedule optimization suggestions based on the prediction results; The modules are connected via wired and / or wireless means to achieve data transmission between modules.

[0031] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will be able to modify the technical solutions described in the foregoing embodiments or to substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

[0032] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0033] In the description of the present invention, it should be understood that the terms "first", "second", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0034] In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0035] In the description of the present invention, “several” means one or more, and “a large number” means two or more.

[0036] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0037] The formulas in this manual are all dimensionless and calculated using numerical values. 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 and thresholds in the formulas are set by technicians in this field based on actual conditions.

[0038] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A comprehensive management method for collecting progress data of a highway bridge precast beam yard, characterized in that: include: Step S1: collecting key material information and regional coordinate information in the target precast beam yard to obtain a precast beam yard basic data set; the precast beam yard basic data set includes site basic coordinate information and key material feature information; Step S2: Constructing a spatial coordinate model of the precast beam yard based on the basic site coordinate information, and combining key material feature information to monitor the operation trajectory and collect weight data of the gantry crane equipment in the precast beam yard to obtain the original equipment operation data stream; Step S3: Based on the original equipment operation data stream, the process status in the precast beam yard is judged and recorded in real time to obtain a process status conversion sequence; based on this, the production progress of the precast beam yard is statistically analyzed to obtain a single beam production progress report; Step S4: Based on the single beam production progress report, data aggregation and statistical analysis are performed to obtain an overall production status report; based on the overall production status report, the resources in the precast beam yard are optimized and scheduled, and a resource scheduling plan is obtained and executed; Step S5: Based on the execution status of the resource scheduling plan, the production capacity in the precast beam yard is predicted, and a corresponding production capacity analysis report and schedule optimization suggestions are generated based on the prediction results.

2. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 1 is characterized in that: The process of obtaining the basic dataset of the precast beam yard includes: Obtain a production process flow chart, and based on it, perform process analysis and key point identification on the production process in the precast beam yard to obtain a process node list; and based on the process node list, conduct a material usage survey and importance assessment to obtain a preliminary material list; Performing material association analysis and process mapping on the preliminary bill of materials to obtain a process-material association map, and performing material screening and priority sorting based on the process-material association map to obtain a key material set; Perform physical characteristic measurement and data recording based on a set of key materials to obtain a material characteristic parameter table; and perform standardization and index construction on the material characteristic parameter table to obtain a key material characteristic data set; At the same time, coordinates of the target precast beam yard are collected to obtain the basic coordinate data of the site; The precast beam basic data set is obtained by integrating and associating the site basic coordinate data and the key material characteristic data set.

3. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 2 is characterized in that: The construction process of the spatial coordinate model of the precast beam yard includes: Performing three-dimensional modeling and spatial reconstruction based on the site basic coordinate data to obtain an initial site model; performing functional identification and boundary division on the initial site model to obtain a regional distribution map; and performing pedestal positioning and number assignment based on the regional distribution map to obtain a pedestal information table; Obtain the model specifications of precast beams, and analyze the pedestal capacities corresponding to different production pedestals based on the pedestal information table to obtain the pedestal capacity matrix; perform spatial data integration and model construction based on the pedestal capacity matrix and regional distribution map to obtain the precast yard spatial coordinate model.

4. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 3 is characterized in that: The process of obtaining the original device operation data stream includes: Collect the operating data of the gantry crane equipment in the precast beam yard to obtain equipment operating data; Performing data cleaning and outlier detection on the equipment operation data to obtain a valid time data series; and performing timestamp synchronization and data association on the valid time data series to obtain a time series association data set; Perform three-dimensional position tracking and coordinate conversion based on the time-series correlation data set to obtain a hook spatial position sequence; and perform position matching and region identification based on the hook spatial position sequence and the precast beam yard spatial coordinate model to obtain a hook region attribution record; By performing threshold analysis and change rate calculation on the hook weight in the equipment operation data, load change events are identified. Feature matching is then performed in conjunction with the key material feature database to obtain a material identification result set. The material identification result set and the hook area attribution record are timestamp aligned and data fused to obtain a multi-source data association table; data stream is constructed and transmitted in real time based on the multi-source data association table to obtain the original equipment operation data stream.

5. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 4 is characterized in that: The process of obtaining the process state transition sequence includes: Performing time window segmentation and event extraction on the original device operation data stream to obtain a device operation event sequence; and performing operation pattern recognition and feature vectorization based on the device operation event sequence to obtain an operation feature vector set; Extracting material transfer paths based on the original equipment operation data flow; Based on the operation feature vector set, hook weight, and pre-built process judgment rule library, and combined with the extracted material transfer path, process feature matching is performed to obtain a preliminary process judgment result; the preliminary process judgment result includes the process type and process execution location; Based on the spatial coordinate model of the precast beam yard, the pedestal standardization and numbering of the process execution location are carried out to obtain the production pedestal and pedestal number associated with the corresponding process type; Construct a pedestal state migration model and obtain the pedestal state changes of the associated production pedestals based on it; Based on the change of the pedestal status and the time stamp and duration of the execution process of the process type, the process execution record is obtained; Summarize the preliminary process judgment results, the pedestal number and the process execution record to obtain the precast beam process status record; Obtain the precast beam process status records corresponding to each production process in the precast beam yard, and generate the corresponding process state transition sequence based on it.

6. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 5 is characterized in that: The process of obtaining the single beam production progress report includes: The process state transition sequences are grouped and associated with precast beams to obtain a single beam process record set, and process completion evaluation and time statistics are performed based on the single beam process record set to obtain a process time analysis table; Calculate the deviation between the process time analysis table and the pre-set precast beam production period to obtain the production progress deviation corresponding to the individual precast beam; and comprehensively evaluate the production progress of the corresponding individual precast beam based on the production progress deviation to obtain a production evaluation result; Based on the production assessment results and the single beam process record set, the current process is identified and the remaining construction period is predicted to obtain a remaining process schedule; and based on the remaining process schedule and historical production data, completion time estimation and risk assessment are performed to obtain a completion forecast report; Based on the completion forecast report and production assessment results, data integration and report generation are performed to obtain a single beam production progress report.

7. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 6 is characterized in that: The process of obtaining the overall production status report includes: Classify, summarize, and perform statistical calculations on the single beam production progress reports to obtain a beam yard production statistics table, and perform time series analysis and capacity evaluation based on the beam yard production statistics table to obtain a capacity utilization index; Based on the single beam production progress report, pedestal status extraction and occupancy statistics are performed to obtain pedestal occupancy rate data, and pedestal utilization efficiency analysis and bottleneck identification are performed based on the pedestal occupancy rate data to obtain a pedestal resource assessment report; Based on the single beam production progress report, the number of work-in-progress products is counted and the distribution analysis is performed to obtain a work-in-progress status matrix, and process balance assessment and process optimization suggestions are performed based on the work-in-progress status matrix to obtain a production balance analysis report; Based on the capacity utilization index, the platform resource assessment report and the production balance analysis report, data integration and visualization processing are performed to obtain an overall production status report.

8. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 7 is characterized in that: The process of obtaining a resource scheduling plan includes: Conduct problem identification and bottleneck analysis on the overall production status report of the beam yard to obtain a production bottleneck list; conduct root cause analysis and resource demand assessment based on the production bottleneck list to obtain a resource demand matrix; and conduct resource matching analysis and gap calculation based on the resource demand matrix and existing resource conditions to obtain a resource gap report; Prioritize resource allocation and formulate allocation strategies based on the resource gap report to obtain a preliminary resource allocation plan; and perform production simulation and effect evaluation on the preliminary resource allocation plan to obtain a plan evaluation indicator set; Compare and optimize the plans based on the plan evaluation indicator set to obtain the optimized resource allocation plan; then formulate implementation plans and assign responsibilities based on them to obtain and execute the optimized resource allocation plan.

9. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 8 is characterized in that: The process of generating the corresponding production capacity analysis report includes: Monitor and collect data on the execution process of the resource scheduling plan to obtain a plan execution data set; compare and analyze the difference between the plan execution data set and the expected scheduling target to obtain a scheduling effect evaluation report; Based on the pre-built production capacity evaluation index system, the production capacity of the precast beam yard is comprehensively evaluated and predicted in the future to obtain a production capacity analysis report.

10. The method for comprehensive management of progress data collection of highway bridge precast beam yard according to claim 9, characterized in that: The process of generating schedule optimization suggestions includes: Based on the production capacity analysis report, a process improvement analysis is performed to obtain a list of process improvement suggestions; and in combination with the process improvement suggestion list and historical resource allocation strategies, a prefabricated beam yard schedule optimization strategy is formulated to obtain schedule optimization suggestions.

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