A method for collecting and managing progress data of a highway bridge precast beam field

Abstract

The application belongs to the technical field of bridge engineering, and discloses a kind of highway bridge precast beam yard progress data acquisition integrated management method;Including: obtaining the key material characteristic information and site basic coordinate information corresponding to precast beam yard;Based on site basic coordinate information and key material characteristic information, data collection is carried out on gantry crane equipment in precast beam yard, and original equipment operation data stream is obtained;Based on original equipment operation data stream, the process state is judged in real time, the process state conversion sequence is obtained, and the overall production condition report is generated based on it;Based on the overall production condition report, the resources in the precast beam yard are optimized and scheduled, and the corresponding resource scheduling scheme is obtained;And give production capacity analysis report and progress optimization suggestion;The application realizes the automatic monitoring and intelligent analysis of precast beam yard production progress, significantly improves the production efficiency and resource utilization, and reduces the manual recording error.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of bridge engineering, more particularly, the present application relates to a highway bridge precast beam yard progress data collection comprehensive management method. BACKGROUND

[0002] In China, most of the newly built highway projects use the form of precast beam yard to produce segmental beams. It is very common to use precast beam yard production mode in the process of bridge construction, which can greatly improve the efficiency of bridge construction, ensure the production progress of precast beams and shorten the construction period of the project.

[0003] The information collection of precast beam production progress is currently mainly based on RFID technology. By fixing special RFID chips on precast beam materials and semi-finished and finished products, management personnel use handheld readers to scan to determine the process of precast beams and judge their production progress. This method is labor-intensive and time-consuming. When there is a shortage of personnel, the information cannot be updated in time. If the RFID chip is damaged, it cannot record, let alone record the location of beam production and storage in real time.

[0004] Bridge is a key project of highway project, and the production progress of precast beam yard often controls the construction period of bridge engineering and even the whole highway project. Accurate real-time production progress information of precast beams plays an important role for decision-making. Therefore, improving the precast beam production progress information collection method plays an important role in bridge engineering.

[0005] Compared with the prior art, the traditional precast beam yard management method generally lacks accurate progress calculation model, and mostly uses experience estimation or simple percentage method, without fully considering multi-dimensional factors such as process complexity, resource allocation and production conditions, so it cannot realize real progress accurate monitoring, increasing the risk of time delay and resource waste;

[0006] In terms of spatial positioning, the existing technology has a very rough grasp of the layout of the precast beam yard, lacks accurate modeling of spatial characteristics such as functional zoning, pedestal distribution and equipment operation path, especially the quantitative deficiency of the operation trajectory of key equipment such as gantry crane, which leads to the inability to accurately associate equipment activities with process progress, increasing the difficulty of data collection; and lacks a dynamic progress evaluation mechanism, which cannot capture the change mode of the production process such as process conversion, material movement and resource utilization and its impact on the overall progress in real time, making it difficult to identify potential bottlenecks in time;

[0007] In terms of resource scheduling, the existing technology mostly uses simple experience judgment or fixed schedule, lacks comprehensive analysis ability driven by data, and cannot establish a correlation model between process progress, resource utilization and production bottlenecks, resulting in low resource allocation efficiency and difficulty in responding to production changes.

[0008] In view of this, the application provides a highway bridge precast beam yard progress data acquisition comprehensive management method to solve the above problems. SUMMARY

[0009] In order to overcome the above-mentioned defects of the prior art, in order to achieve the above-mentioned purpose, the application provides the following technical scheme:

[0010] A highway bridge precast beam yard progress data acquisition comprehensive management method, comprising:

[0011] Step S1: collecting key material information and regional coordinate information in the target precast beam yard to obtain corresponding precast beam yard basic data set; the precast beam yard basic data set includes site basic coordinate information and key material characteristic information;

[0012] Step S2: constructing a precast beam yard space coordinate model based on the site basic coordinate information, and combining the key material characteristic information to monitor the running track of the gantry crane equipment in the precast beam yard and collect weight data to obtain corresponding original equipment running data stream;

[0013] Step S3: based on the original equipment running data stream, the process state in the precast beam yard is judged and recorded in real time to obtain a corresponding process state conversion sequence; and based on the same, the production progress of the precast beam yard is statistically analyzed to obtain a corresponding single beam production progress report;

[0014] Step S4: based on the single beam production progress report, data aggregation and statistical analysis are performed to obtain an overall production status report; and based on the overall production status report, the resources in the precast beam yard are optimally configured and scheduled to obtain a corresponding resource scheduling scheme and execute it;

[0015] Step S5: based on the execution state of the resource scheduling scheme, the production capacity in the precast beam yard is predicted, and based on the prediction result, a corresponding production capacity analysis report and progress optimization suggestion are generated.

[0016] Further, the acquisition process of the precast beam yard basic data set comprises:

[0017] Obtain the production process flowchart corresponding to the target precast beam yard, and based on the same, the production process in the corresponding precast beam yard is analyzed and the key points are identified to obtain a corresponding process node list;

[0018] Investigate the material usage and evaluate the importance of the corresponding process node list to obtain a preliminary material list;

[0019] Based on the key process nodes, and in combination with the preliminary bill of materials, material correlation analysis and process mapping are performed to obtain a corresponding process-material correlation graph, and based on the obtained process-material correlation graph, material screening and priority sorting are performed to obtain a corresponding key material set;

[0020] Based on the obtained key material set, material feature measurement and data recording are performed to obtain a corresponding material feature parameter table, and the obtained material feature parameter table is standardized and indexed to obtain a corresponding key material feature dataset;

[0021] At the same time, coordinate collection is performed on the target precast beam yard to obtain corresponding site base coordinate data;

[0022] Through data integration and correlation of the collected site base coordinate data and key material feature dataset, a structured precast beam base dataset is formed, which is uploaded to the pre-constructed database for data storage.

[0023] Further, the construction process of the precast beam yard space coordinate model includes:

[0024] Based on the obtained site base coordinate data, three-dimensional modeling and space reconstruction are performed to obtain a corresponding initial site model, function recognition and boundary division are performed on the initial site model to obtain a corresponding regional distribution map, and pedestal positioning and number allocation are performed based on the regional distribution map to obtain a corresponding pedestal information table;

[0025] The model specification of the precast beam is obtained, and based on the pedestal information table, the pedestal capacity analysis of different production pedestals is performed to obtain a corresponding pedestal capacity matrix; according to the pedestal capacity matrix and the regional distribution map, spatial data integration and model construction are performed to obtain a corresponding precast beam yard space coordinate model.

[0026] Further, the acquisition process of the original equipment operation data stream includes:

[0027] A data acquisition unit is set, and based on the data acquisition unit, operation data in the target gantry crane equipment is collected to obtain corresponding equipment operation data;

[0028] The collected equipment operation data is subjected to data cleaning and outlier detection to obtain a corresponding valid time data sequence; and the valid time data sequence is subjected to timestamp synchronization and data correlation to obtain a corresponding time series correlation dataset;

[0029] Based on the corresponding time series correlation dataset, three-dimensional position tracking and coordinate conversion are performed to obtain a corresponding hook spatial position sequence; and based on the hook spatial position sequence and the precast beam yard space coordinate model, position matching and region recognition are performed to obtain a corresponding hook region attribution record;

[0030] Obtain the hook weight in the equipment operation data, and perform threshold analysis and change rate calculation to identify the corresponding load change event; based on the identified load change event, and in combination with the key material feature database, perform feature matching to obtain a preliminary material identification result and perform verification to obtain a required material identification result set;

[0031] Timestamp align and data fusion are performed on the material identification result set and the hook area attribution record to obtain a corresponding multi-source data association table; data stream construction and real-time transmission are performed based on the multi-source data association table to obtain a corresponding raw equipment operation data stream.

[0032] Further, the obtaining process of the process state transition sequence includes:

[0033] Time window segmentation and event extraction are performed on the raw equipment operation data stream to obtain a corresponding device operation event sequence; and operation mode recognition and feature vectorization are performed based on the device operation event sequence to obtain a corresponding operation feature vector set;

[0034] Material transfer path extraction is performed based on the obtained raw equipment operation data stream, and the material transfer path includes the carrying starting point and ending point and the moving trajectory of the gantry crane equipment in the non-empty state;

[0035] Operation feature vector set, hook weight and material transfer path are combined with the pre-constructed process judgment rule library to perform process feature matching to obtain a corresponding preliminary process judgment result; the preliminary process judgment result includes the process type and process execution location corresponding to the current production process;

[0036] The process execution location is coordinate matched and numbered based on the precast beam field space coordinate model to obtain the production platform and the corresponding platform number associated with the corresponding process type;

[0037] A platform state transition model is constructed, and the platform state change of the associated production platform is obtained based on it;

[0038] The platform state change and the execution process of the process type are time labeled and duration obtained to obtain a corresponding process execution record;

[0039] The obtained preliminary process judgment result, platform number and process execution record are summarized to obtain a corresponding precast beam process state record;

[0040] The precast beam process state record corresponding to each production process in the precast beam field is obtained, and a corresponding process state transition sequence is generated based on it.

[0041] Further, the obtaining process of the single-beam production progress report includes:

[0042] grouping and precast beam association are performed on the sequence of process state transitions to obtain a corresponding single-beam process record set, and process completion degree evaluation and time statistics are performed based on the single-beam process record set to obtain a corresponding process time consumption analysis table;

[0043] deviation calculation is performed on the obtained process time consumption analysis table and the pre-set precast beam production period to obtain a corresponding production progress deviation of the precast beam, and comprehensive evaluation is performed on the production progress of the corresponding single precast beam according to the production progress deviation to obtain a corresponding production evaluation result;

[0044] current process identification and remaining period prediction are performed based on the production evaluation result and the single-beam process record set to obtain a corresponding remaining process plan table, and completion time estimation and risk evaluation are performed according to the remaining process plan table and historical production data to obtain a corresponding completion prediction report;

[0045] data integration and report generation are performed based on the completion prediction report and the production evaluation result to obtain a corresponding single-beam production progress report.

[0046] Further, the obtaining process of the overall production status report comprises:

[0047] classification, summarization and statistical calculation are performed on the single-beam production progress report to obtain a corresponding beam yard yield statistical table, and time series analysis and capacity evaluation are performed based on the beam yard yield statistical table to obtain a corresponding capacity utilization rate index;

[0048] abutment state extraction and occupation condition statistics are performed based on the single-beam production progress report to obtain corresponding abutment occupation rate data, and abutment utilization efficiency analysis and bottleneck identification are performed according to the abutment occupation rate data to obtain a corresponding abutment resource evaluation report;

[0049] work-in-process quantity statistics and distribution analysis are performed based on the single-beam production progress report to obtain a corresponding work-in-process state matrix, and process balance evaluation and process optimization suggestions are performed according to the work-in-process state matrix to obtain a corresponding production balance analysis report;

[0050] data integration and visual processing are performed based on the capacity utilization rate index, the abutment resource evaluation report and the production balance analysis report to obtain a corresponding overall production status report.

[0051] Further, the obtaining process of the resource scheduling scheme comprises:

[0052] Problem identification and bottleneck analysis are performed on the overall production status report of the beam yard to obtain a production bottleneck list; root cause analysis and resource demand assessment are performed based on the production bottleneck list to obtain a resource demand matrix; and resource matching degree analysis and gap calculation are performed based on the resource demand matrix and the existing resource situation to obtain a resource gap report.

[0053] Based on the resource gap report, resource allocation priorities are ranked and allocation strategies are formulated to obtain a preliminary resource allocation plan; then, production simulation and effect evaluation are conducted on the obtained preliminary resource allocation plan to obtain a set of plan evaluation indicators;

[0054] Based on the set of evaluation indicators, the schemes are compared and optimized to obtain an optimized resource allocation scheme; and based on this, an implementation plan is formulated and responsibilities are assigned to obtain the corresponding optimized resource allocation scheme and execute it.

[0055] Furthermore, the process of generating the corresponding production capacity analysis report includes:

[0056] The execution process of the resource scheduling scheme is monitored and data is collected to obtain a scheme execution dataset; the scheme execution dataset is then compared and the differences are analyzed with the expected scheduling target to obtain a scheduling effect evaluation report;

[0057] Based on a pre-constructed production capacity assessment index system, a comprehensive assessment and future prediction of the production capacity of the precast beam yard are conducted to obtain a production capacity analysis report.

[0058] Furthermore, the process of generating schedule optimization suggestions includes:

[0059] Based on the production capacity analysis report, a process improvement analysis is conducted to obtain a list of process improvement suggestions. Then, combining this list with historical resource allocation strategies, a precast beam yard schedule optimization strategy is formulated to obtain corresponding schedule optimization suggestions. Finally, the obtained production capacity analysis report and schedule optimization suggestions are fed back to the relevant management personnel.

[0060] The technical effects and advantages of the present invention, a comprehensive management method for collecting and managing the progress data of highway bridge precast beam yards, are as follows:

[0061] 1. Using gantry cranes to monitor weight and motion 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 management personnel in a timely and accurate manner;

[0062] 2. Through systematic analysis of process judgment rule base, operation feature vector set and material transfer path, a process state transition sequence was constructed, realizing automated monitoring of production progress and accurate evaluation of single beam production progress, enabling managers to grasp the execution status and completion status of each production process in real time;

[0063] 3. Based on the beam field yield statistical table, the pedestal occupancy rate data and the multi-source data fusion technology of the work-in-process state matrix, an overall production condition evaluation system is established, a quantitative index reflecting the operation efficiency of the precast beam field is provided, the accurate identification of the production bottleneck and the scientific decision of resource allocation are realized;

[0064] 4. Through production bottleneck list analysis and resource demand matrix evaluation, intelligent optimization of resource scheduling scheme and scientific prediction of production capacity are realized, while ensuring product quality, resource utilization efficiency is maximized, and the overall production efficiency and management level of the precast beam field are significantly improved. BRIEF DESCRIPTION OF DRAWINGS

[0065] Figure 1 It is a schematic diagram of a highway bridge precast beam field progress data acquisition comprehensive management method of the present application;

[0066] Figure 2 It is a schematic diagram of a highway bridge precast beam field progress data acquisition comprehensive management method system of the present application. DETAILED DESCRIPTION

[0067] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application. EMBODIMENT

[0068] Please refer to Figure 1 The highway bridge precast beam field progress data acquisition comprehensive management method described in this embodiment includes:

[0069] Step S1: Collect the key material information and regional coordinate information in the target precast beam field to obtain the corresponding precast beam field basic data set; the precast beam field basic data set includes site basic coordinate information and key material characteristic information;

[0070] Step S2: Construct a precast beam field space coordinate model based on the site basic coordinate information, and monitor the running track of the gantry crane equipment in the precast beam field and collect the weight data based on the key material characteristic information to obtain the corresponding original equipment running data stream;

[0071] Step S3: Based on the original equipment running data stream, the process state in the precast beam field is judged and recorded in real time to obtain the corresponding process state conversion sequence; and based on the same, the production progress of the precast beam field is statistically analyzed to obtain the corresponding single-beam production progress report;

[0072] Step S4: Based on the single beam production progress report, data aggregation and statistical analysis are performed to obtain an overall production status report; and based on the overall production status report, resource optimization and scheduling planning are performed in the precast beam field to obtain a corresponding resource scheduling scheme and execute it;

[0073] Step S5: Based on the execution status of the resource scheduling scheme, the production capacity in the precast beam field is predicted, and a corresponding production capacity analysis report and progress optimization suggestion are generated based on the prediction results.

[0074] It should be further explained that, in the specific implementation process, the acquisition process of the precast beam field basic data set includes:

[0075] The production process flowchart corresponding to the target precast beam field is obtained, and based on it, the production process in the corresponding precast beam field is analyzed and the key points are identified to obtain a corresponding process node list; process analysis refers to obtaining each production process and process connection point corresponding to the production process of the precast beam field by image recognition of the production process flowchart, and based on the identified production process and process connection point, the production process in the precast beam field is systematically decomposed to obtain a plurality of production process nodes; key point identification is based on the production process flowchart, and combined with expert historical experience, the production process nodes that have a decisive influence on the production progress and production quality of the precast beam field are identified and extracted to obtain corresponding key process nodes; the key process nodes can include steel binding, formwork, concrete pouring, prestressed tensioning, grouting, and demolding process nodes;

[0076] Investigate the material usage and assess the importance of the corresponding process node list to obtain a preliminary material list; material usage investigation refers to statistically analyzing the usage frequency and quantity of different materials in each key process node through field investigation, production record analysis, and production process review; importance assessment refers to using a multi-criteria evaluation method to measure the importance of each type of material by considering factors such as material cost, usage frequency, and difficulty of substitution, and assigning corresponding importance scores to each type of material based on the importance assessment;

[0077] Based on the key process nodes and combined with the preliminary material list, material correlation analysis and process mapping are performed to obtain a corresponding process-material correlation map; material correlation analysis refers to obtaining material combination patterns in different key process nodes by evaluating the dependency and complementarity between different materials; process mapping establishes the correspondence between materials and production processes in the precast beam field to clarify the usage of each type of material in different key process nodes;

[0078] Based on the obtained process-material association map, material screening and priority ranking are performed to obtain a corresponding key material set; material screening refers to evaluating the correlation degree between the material and the corresponding key process node based on the constructed process-material association map, and marking the material with a correlation degree higher than a preset correlation degree threshold as a key material; for example, the more frequent and data the use of a certain type of material in a certain key process node, the higher the correlation degree between the corresponding material and the corresponding key process node; priority ranking is to sort the marked key materials through the importance scores of various materials to form a corresponding key material set;

[0079] Based on the obtained key material set, material feature measurement and data recording are performed to obtain a corresponding material feature parameter table; material feature measurement refers to measuring the key materials in the corresponding precast beam field multiple times through a preselected precision weighing device and a size measuring device to obtain the material feature parameters corresponding to each key material, including material weight, volume, density, and other parameters; data recording records the average value and standard deviation of multiple measurement results through the use of a standardized record table to form a corresponding material feature parameter table; to ensure the accuracy and consistency of the data; for example, the obtained material feature parameter table can include the weight of the reinforcement cage of the precast beam, the weight of the precast beam, the weight of the formwork block, the full and empty weight of the concrete bucket, the weight of the prestressed tensioning equipment, and the weight of the duct grouting equipment;

[0080] Further, the obtained material feature parameter table is standardized and indexed to obtain a corresponding key material feature dataset; standardization refers to converting the recorded physical feature parameters from different dimension parameters to a unified scale through the min-max method to ensure data comparability; index construction constructs a data index including material categories, specifications, models, and feature parameters through a multi-level index structure, to facilitate fast retrieval and matching;

[0081] Coordinate collection is performed on the target precast beam site to obtain corresponding site base coordinate data; coordinate collection refers to measuring the key points in the corresponding precast beam production area through high-precision measuring equipment such as total stations and RTK-GPS to obtain the spatial coordinates of each key point; during the coordinate collection process, a unified coordinate system should be followed; for example, the WGS84 coordinate system; the key points include site boundary points, functional area boundary points, and key facility location points to form a site base coordinate dataset; for example, reinforcement processing fixed pedestal coordinates, material area plane coordinates, precast fixed pedestal corner point coordinates, and beam storage site pedestal corner point coordinates;

[0082] Further, by data integration and association of the collected site basic coordinate data and key material feature data set, a structured precast beam basic data set is formed and uploaded to the pre-constructed database for data storage.

[0083] It needs to be further explained that, in the specific implementation process, the construction process of the precast beam field space coordinate model includes:

[0084] 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 adopts computer-aided design software (such as AutoCAD, Revit) to convert the discrete coordinate points in the site basic coordinate data into continuous three-dimensional models through surface fitting and boundary construction. In the spatial reconstruction process, a virtual model conforming to the actual production environment is constructed by considering the terrain undulation, facility distribution and regional function. The corresponding initial site model is formed by combining the three-dimensional modeling process and the spatial reconstruction process;

[0085] The initial site model is subjected to function identification and boundary division to obtain the corresponding regional distribution map. The regional distribution map includes the boundary coordinates of the steel bar processing area, the steel bar framework binding area, the precast area, the beam storage area and other functional partitions. The function identification refers to obtaining the position and range of each functional partition in the target precast beam field based on the production process and site layout in the precast beam field, combined with the actual situation on site. The boundary division defines the geometric boundaries of each functional partition through the site basic coordinate data. Through function identification and boundary division, the precast beam field is divided into multiple functional areas such as steel bar processing area, steel bar framework binding area, precast area, beam storage area, and the boundary coordinates of each functional area are recorded to form a regional distribution map.

[0086] Based on the regional distribution map, pedestal positioning and number allocation are performed to obtain the corresponding pedestal information table. The pedestal positioning refers to obtaining the accurate coordinate position of each production pedestal in the precast beam field in the same coordinate system based on the site basic coordinate data and the regional distribution map. The number allocation is to allocate a unique identifier to each production pedestal to facilitate subsequent data association and state tracking.

[0087] The model specification of the known precast beam is acquired, the capacity of the production pedestal corresponding to different production pedestals is analyzed based on a pedestal information table, and a corresponding pedestal capacity matrix is obtained. The capacity analysis of the pedestal refers to obtaining the number of precast beams that can be accommodated in different production pedestals based on the geometric size of the production pedestal and the spatial requirements of the precast beam. Spatial data integration and model construction are performed according to the pedestal capacity matrix and the regional distribution map to obtain a corresponding precast beam yard spatial coordinate model. Spatial data integration refers to integrating the pedestal information, pedestal capacity and functional partition into a unified coordinate system. Model construction is to perform geometric expression and attribute assignment on the integrated spatial data through topology relationship analysis, to construct a precast beam yard spatial coordinate model containing multiple levels of elements such as points, lines and surfaces, so as to ensure accurate expression of spatial position, correct description of regional relationship and accuracy of distance calculation.

[0088] It should be further pointed out that, in the specific implementation process, the acquisition process of the original equipment running data stream includes:

[0089] A data acquisition unit is set, which is composed of a weight sensing terminal, a speed sensing terminal, a position sensing terminal and an angle sensing terminal, and is deployed in the gantry crane equipment in the target precast beam yard;

[0090] Based on the data acquisition unit, the running data in the target gantry crane equipment is collected to obtain corresponding equipment running data, including the whole vehicle stroke (the longitudinal position of the gantry crane), the trolley stroke (the lateral position of the gantry crane trolley), the hook depth (the vertical position of the hook) and the hook weight corresponding to the gantry crane equipment;

[0091] The collected equipment running data is subjected to data cleaning and outlier detection to obtain a corresponding valid time data sequence. Data cleaning refers to removing signal interference and noise generated during data acquisition based on a preselected low-pass filter. Outlier detection refers to identifying and deleting abnormal data points caused by factors such as equipment vibration, electromagnetic interference or sensor failure through a median filter algorithm;

[0092] The valid time data sequence is subjected to timestamp synchronization and data association to obtain a corresponding time series association data set. Timestamp synchronization refers to aligning the data collected by different sensing terminals in time and unifying them to the same time scale. Data association refers to combining different sensor data at the same time point to form a complete gantry crane equipment data combination;

[0093] 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 portal crane equipment at different time nodes based on time series correlation data; coordinate conversion is used to map the obtained three-dimensional coordinates to the coordinate system corresponding to the precast beam field space coordinate model;

[0094] Based on the hook spatial position sequence and the precast beam field space coordinate model, position matching and region identification are performed to obtain the corresponding hook region attribution record; position matching refers to spatially corresponding the three-dimensional coordinates corresponding to the hook to the coordinate system in the precast beam field space coordinate model to obtain the spatial position of the corresponding hook in the corresponding precast beam field space coordinate model; region identification is performed by using a boundary determination algorithm and combining the identified spatial position to make a functional partition attribution judgment, to obtain the functional partition to which the hook position belongs at different time nodes, and to form a corresponding hook region attribution record based thereon;

[0095] The hook weight in the equipment operation data is obtained, and threshold analysis and change rate calculation are performed to identify the corresponding load change event; threshold analysis refers to classifying the hook load state by a pre-set weight threshold, such as empty, light load, and full load states; change rate calculation refers to obtaining the change rate of the hook weight in a continuous time period based on the equipment operation data, which is used to identify loading and unloading events;

[0096] Based on the identified load change event and in combination with the key material feature database, feature matching is performed to obtain a preliminary material identification result; feature matching is performed by comparing the hook weight with the average value and standard deviation of the hook weight recorded in the key material feature database to obtain a highly matched material category, and a comprehensive judgment is made in combination with the current hook region attribution record to obtain the corresponding preliminary material identification result; for example, according to the functional definition of the functional partition to which the hook belongs, the material type is further determined and the material attribute is identified, and the material attribute includes the precast beam model specification and the reinforcement cage type, etc.;

[0097] The preliminary material identification result obtained at present is verified and corrected based on the historical feature matching result to obtain a required material identification result set;

[0098] The material identification result set and the hook region attribution record are time stamped and data fused to obtain a corresponding multi-source data correlation table; based on the multi-source data correlation table, data stream construction and real-time transmission are performed to obtain a corresponding raw equipment operation data stream; data stream construction refers to organizing discrete data points into continuous data streams, which contain information such as time, position, weight, and material type; real-time transmission is performed by uploading and storing the raw equipment operation data stream through a network.

[0099] It needs to be further explained that in the specific implementation process, the process state conversion sequence acquisition process includes:

[0100] The original equipment operation data stream is time window segmented and event extracted to obtain a corresponding equipment operation event sequence; time window segmentation refers to dividing 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 operation semantics from the corresponding data judgment; for example, hoisting start, load change, smooth movement and placement completion, etc. Operation behavior, and give the corresponding time stamp, position information and state parameter, to form a structured operation event description, to ensure that the original operation intention and behavior characteristics are retained while reducing data redundancy and computational complexity;

[0101] Operation mode recognition and feature vectorization are performed based on the equipment operation event sequence to obtain a corresponding operation feature vector set; operation mode recognition is used to recognize and extract typical operation behaviors in the equipment operation event sequence, such as: hook lifting, moving and lowering, etc. Operation behavior; feature vectorization is used to perform multi-dimensional feature quantization processing on the identified typical operation behavior to form a standardized operation feature vector; for example, the operation behavior of the gantry crane is converted into a numerical representation containing speed distribution characteristics, load change mode, position stay characteristics, operation continuity index and region conversion characteristics, etc.

[0102] Based on the obtained original equipment operation data stream, the material transfer path is extracted, which includes the starting point and ending point of the material transfer path and the moving track of the gantry crane in the non-empty state. The material transfer path refers to determining the starting point and ending point of the corresponding gantry crane by analyzing the moving track of the gantry crane in the non-empty state;

[0103] Further, based on the operation feature vector set, the hook weight and the material transfer path, and combined with the pre-constructed process judgment rule library, the process feature matching is performed to obtain the corresponding preliminary process judgment result; process feature matching refers to identifying the type of process being executed in the current precast beam yard by comparing the actual material transfer path and the 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 combined with the operation feature vector to form the corresponding preliminary process judgment result; The preliminary process judgment result includes the process type and process execution position corresponding to the current production process and other information;

[0104] The time series analysis and logical verification are performed on the identified process type to determine the effectiveness and integrity of the execution of the corresponding production process; the time series analysis refers to checking whether the time sequence of the process execution conforms to the production process requirements; the logical verification refers to checking whether the connection relationship between adjacent processes is reasonable, such as "steel bar binding" which must be performed after "mold installation";

[0105] The seat coordinates are matched and numbered based on the precast beam field space coordinate model to obtain the production seat associated with the corresponding process type and the corresponding seat number; the seat matching refers to determining the production seat corresponding to the process execution position through space coordinate matching; the number identification is based on the seat information table to obtain the seat number of the associated production seat;

[0106] The seat state transition model is constructed, and the seat state change of the associated production seat is obtained based on the seat state transition model; the seat state transition model is used to describe the state change process of the production seat in the corresponding precast beam field from idle to occupied, and then to completed;

[0107] Further, based on the seat state change and the execution process of the process type, the time marking and duration acquisition are performed to obtain the corresponding process execution record; the process execution record includes the execution time and duration of the corresponding production process;

[0108] Further, the obtained preliminary process judgment result, seat number and process execution record are information summarized to obtain the corresponding precast beam process state record;

[0109] Further, the precast beam process state record corresponding to each production process in the precast beam field is obtained, and the corresponding process state conversion sequence is generated based on it; the process state conversion sequence includes the start time, end time, duration and associated production adjustment number of each production process and other information;

[0110] The pre-constructed process judgment rule library includes:

[0111] 1) In the precast beam construction, when the gantry crane lifts a weight equal to the weight of the formwork block Wm, it is judged that the precast beam of this type starts formwork installation; when the release position is in the precast beam area with the state of "occupied", and the previous process is "steel reinforcement skeleton binding process", it is judged that the precast beam of this type is in the "formwork process";

[0112] 2) In the precast beam construction, when the gantry crane lifts a weight equal to the weight of the intelligent tensioning equipment Wz, and the previous process is "concrete pouring process", it is judged that the precast beam of a certain type is in the "tensioning process";

[0113] 3) In the precast beam construction, when the gantry crane lifts a weight equal to the weight of the intelligent grouting equipment Wy, and the previous process is "tensioning process", it is judged that the precast beam of a certain type is in the "grouting process";

[0114] 4) In the precast beam construction, when the gantry crane hoists a weight approximately equal to the weight WL of the concrete beam, and the previous process is the "precast beam grouting process", it is determined that the "beam moving process" of a certain type of precast beam, and the pedestal state is changed to "idle";

[0115] 5) In the precast beam construction, when the gantry crane releases the weight WL of the concrete beam, and there is a beam in the hoisting position, it is determined that a certain type of precast beam is stored; according to the plane coordinates and height of the hook release, the storage pedestal number and layer number are determined;

[0116] It should be further pointed out that the process judgment rule library mentioned in the present application is only a partial example and is not a complete process judgment rule library.

[0117] It should be further pointed out that in the specific implementation process, the acquisition process of the single beam production progress report includes:

[0118] Grouping and precast beam association of the process state transition sequence, obtaining the corresponding single beam process record set, and based on the single beam process record set, process completion degree evaluation and time statistics are performed to obtain the corresponding process time consumption analysis table; grouping and precast beam association means that the production process events in the process state transition sequence are collected into the corresponding precast beam according to the precast beam identifier, forming a complete single beam production process chain, and establishing the correspondence between the process and the specific precast beam; process completion degree evaluation means that the actual execution of each production process is quality scored according to the industry process specification standard, and the process time consumption analysis table is formed in combination with the process time statistics; the precast beam identifier means that the precast beam index is assigned based on each precast beam before and after production;

[0119] The obtained process time consumption analysis table is subjected to deviation calculation with the pre-set precast beam production period to obtain the production progress deviation of the single precast beam; and the production progress of the corresponding single precast beam is comprehensively evaluated based on the production progress deviation to obtain the corresponding production evaluation result; comprehensive evaluation means that the production progress of the corresponding precast beam is divided into different progress levels such as normal, slight delay, and significant delay based on the production progress deviation, forming the corresponding production evaluation result;

[0120] Based on the production evaluation result 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 plan table; the current process identification means that the current production process and completion degree of each precast beam under construction are determined by analyzing the latest single beam process record set; the remaining process plan table is used to represent the remaining process list that needs to be completed for each precast beam from the current state to completion, including process name, expected start time, standard construction period and expected completion time;

[0121] And according to the remaining process schedule and historical production data to estimate the completion time and risk assessment, obtain the corresponding completion forecast report; The completion time estimation refers to the combination of historical production data of the same type of precast beam and the current resource allocation situation, and the completion time of the remaining process is comprehensively predicted, and the possible delay risk factors are evaluated;

[0122] Based on the completion forecast report and production evaluation results, data integration and report generation are carried out to obtain the corresponding single beam production progress report; Data integration refers to the fusion of the completion forecast report and the production evaluation index results to form a comprehensive information set that reflects the production state of the single beam; For example: structurally organize the key indicators such as the estimated completion date, progress deviation level, process quality score and delay risk factors; Report generation refers to converting the data after data integration into standardized charts, trend lines and text explanations, so that management personnel can intuitively master the production progress.

[0123] It needs to be further explained that in the specific implementation process, the acquisition process of the overall production status report includes:

[0124] The single beam production progress report is classified, summarized and statistically calculated to obtain the corresponding beam yard production statistics table, and based on the beam yard production statistics table, time series analysis and capacity evaluation are carried out to obtain the corresponding capacity utilization rate index; Classified summary refers to classifying and counting the single beam progress data according to multiple dimensions such as precast beam model specifications, production processes and time periods; For example: the weekly output, monthly output of different model specifications of precast beams, the number of completed production processes and the throughput capacity of the production line, etc.; Capacity evaluation refers to calculating the capacity utilization efficiency of each production process and the overall beam yard by comparing the difference between the actual output and the theoretical production capacity;

[0125] Based on the single beam production progress report, pedestal state extraction and occupancy situation statistics are carried out to obtain the corresponding pedestal occupancy rate data, and according to the pedestal occupancy rate data, pedestal utilization efficiency analysis and bottleneck identification are carried out to obtain the corresponding pedestal resource evaluation report; Pedestal state extraction refers to extracting key information such as real-time use state, occupancy time and turnover frequency of various production pedestals from the single beam progress report; For example: the idle state of the precast pedestal, the occupancy time of the binding pedestal, the distribution of precast beams in the beam storage area pedestal, etc.; Among them, the pedestal occupancy rate data represents the quantitative indicators of time utilization and space utilization of production pedestals in each functional partition of the precast beam yard; Bottleneck identification refers to identifying resource bottlenecks and inefficient links in the production process by analyzing and comparing the occupancy rate difference and turnover speed of different production pedestals;

[0126] Based on the single beam production progress report, work-in-process quantity statistics and distribution analysis are carried out to obtain the corresponding work-in-process state matrix, and according to the work-in-process state matrix, process balance evaluation and process optimization suggestions are carried out to obtain the corresponding production balance analysis report;

[0127] In-process quantity statistics refers to accurately counting and dynamically tracking the number of precast beams at different production processes to form a comprehensive view of the intermediate production state; for example, the number of precast beams at the steel bar binding stage, the number of precast beams in post-pouring curing, the number of precast beams completed for tensioning but not for grouting, etc.; Process balance evaluation refers to identifying unbalanced links and accumulation phenomena in the production process by analyzing the capacity matching degree and turnover efficiency between adjacent production processes;

[0128] Based on the capacity utilization rate index, the pedestal resource evaluation report and the production balance analysis report, data integration and visualization processing are performed to obtain the corresponding overall production status report.

[0129] It should be further explained that, in the specific implementation process, the resource scheduling scheme acquisition process includes:

[0130] The overall production status report of the beam field is analyzed to identify problems and bottlenecks, and a production bottleneck list is obtained; the production bottleneck list contains information such as bottleneck process, bottleneck location, impact degree, duration and associated resources; problem identification refers to obtaining key problem points affecting production efficiency and progress by analyzing the overall production status report; for example, processes with abnormally low capacity utilization, pedestal groups with continuously declining turnover rates, production links with severe in-process accumulation, or time periods with uneven resource allocation; bottleneck analysis refers to identifying weak links and reasons that restrict the overall production process by quantitatively comparing the production capacity, resource utilization rate and in-process flow rate of each production process;

[0131] Based on the production bottleneck list, root cause analysis and resource demand evaluation are performed to obtain a resource demand matrix; root cause analysis refers to using problem tracing methods to deeply analyze the underlying causes and internal relationships of surface bottleneck problems to form a cause-and-effect chain structure; for example, insufficient tensioning process capacity may be due to insufficient equipment quantity, limited operator skill level, quality fluctuations in the previous process or unreasonable process parameter settings; resource demand evaluation refers to quantitatively analyzing and prioritizing the types, quantities and qualities of resources required to solve each bottleneck problem based on the root cause analysis results; the resource demand matrix represents the multi-dimensional resource allocation structure required to solve various bottleneck problems, including key elements such as human resource demand, equipment and facility demand, technology and process demand, management process demand and time investment demand;

[0132] Based on the resource demand matrix and the existing resource situation, resource matching degree analysis and gap calculation are performed to obtain a resource gap report. The resource matching degree analysis refers to evaluating the adaptability and satisfaction between the existing resource allocation and the required resources for solving the bottleneck by using a comparison method to form a quantitative matching index. The gap calculation is used to uniformly quantify the resource gap in different dimensions to establish a resource gap evaluation system that can be compared horizontally. The resource gap report represents a structured analysis document of the supply and demand balance of various production factors in the precast beam field and the distribution of the gap.

[0133] Based on the resource gap report, resource allocation priority ranking and allocation strategy are determined to obtain a preliminary resource allocation scheme. The resource allocation priority ranking refers to scientifically ranking and classifying various resource demands based on multi-dimensional indicators such as bottleneck severity, impact range, and solution urgency to form the priority order of resource investment. The allocation strategy refers to formulating specific resource acquisition, allocation, and utilization schemes based on resource priority and availability, including self-resource allocation, external resource introduction, and existing resource efficiency improvement, etc.

[0134] Based on the preliminary resource allocation scheme, production simulation and effect evaluation are performed to obtain a set of scheme evaluation indicators. Production simulation refers to virtually running and data collection of the production process after implementing the resource allocation scheme through computer modeling or scenario deduction method to predict the implementation effect. Effect evaluation refers to quantitatively evaluating the performance of the scheme in various dimensions by comparing the simulation results with the expected requirements.

[0135] Based on the set of scheme evaluation indicators, scheme comparison and optimization adjustment are performed to obtain an optimized resource allocation scheme. Scheme comparison refers to quantitatively analyzing and horizontally comparing the feasibility, economy, timeliness, and synergy of the preliminary resource allocation scheme through multi-dimensional evaluation indicators to identify the optimal implementation path. Optimization adjustment refers to fine-tuning the resource quantity, input timing, and configuration structure in the preliminary resource allocation scheme based on the comparison results to balance short-term benefits and long-term development needs.

[0136] Based on the optimized resource allocation scheme, implementation plan is formulated and responsibility is allocated to obtain a resource allocation optimization scheme and execute it. Implementation plan formulation refers to converting the resource allocation scheme into a specific action schedule and step flow to clearly define the implementation path, time node, and stage goal of each resource adjustment.

[0137] It needs to be further explained that in the specific implementation process, the process of generating the corresponding production capacity analysis report and progress optimization suggestion includes:

[0138] The execution process of the resource scheduling scheme is monitored and data is collected to obtain a scheme execution data set; the scheme execution data set is compared with the expected scheduling target and difference analysis is performed to obtain a scheduling effect evaluation report; the comparison and difference analysis refers to evaluating the matching degree and deviation between the actual resource allocation execution result and the expected scheduling target through data comparison methods;

[0139] A production capacity evaluation index system is constructed, which represents a structured index set for scientifically evaluating the overall and itemized production capacity of the precast beam field, and includes multiple evaluation dimensions such as basic capacity index, resource efficiency index, system coordination index, quality guarantee index and sustainable development index; the specific construction process is a prior art, and will not be described in detail in this application;

[0140] The production capacity of the precast beam field is comprehensively evaluated and forecasted based on the production capacity evaluation index system to obtain a production capacity analysis report; the comprehensive evaluation refers to quantitatively evaluating the capacity level, resource efficiency and production coordination in the precast beam field by applying the production capacity evaluation index system; the future forecast is a scientific prediction of the capacity change, resource demand and bottleneck evolution in the future time period based on the comprehensive evaluation results and in combination with historical data;

[0141] Process improvement analysis is performed based on the production capacity analysis report to obtain a process improvement suggestion list; and in combination with the process improvement suggestion list and the historical resource allocation strategy, a precast beam field progress optimization strategy is formulated to obtain corresponding progress optimization suggestions; wherein the process improvement analysis refers to identifying the technical parameters that can be optimized in the production bottleneck point and the low-efficiency production process, and giving improvement suggestions in combination with historical expert experience; and the obtained production capacity analysis report and progress optimization suggestions are fed back to the corresponding management personnel.

[0142] The application establishes a structured prefabricated beam field basic data set by systematically collecting and standardizing processing key material information and regional coordinate information of the prefabricated beam field; constructs an accurate prefabricated beam field space coordinate model by using site basic coordinate information for three-dimensional modeling and function identification; forms a real-time continuous original equipment operation data stream by monitoring the running track of the gantry crane equipment and collecting weight data based on a multi-sensor terminal; generates a complete process state conversion sequence by operating feature vectorization and process feature matching for real-time process state judgment; forms a detailed single beam production progress report by evaluating the process completion degree and predicting the remaining construction period of the single beam process record set; realizes accurate optimization and scheduling planning of resource allocation by identifying production bottlenecks and resource requirements based on multi-dimensional statistical analysis; and provides scientific progress optimization suggestions by combining with the production capacity comprehensive evaluation and future prediction of the execution state data. The method combines the real-time data acquisition capability of the Internet of Things sensing technology and the intelligent decision-making characteristics of data analysis, and constructs an automated, accurate and sustainable optimized prefabricated beam field production progress management system. Embodiment 1

[0143] Please refer to Figure 2 The embodiment does not describe some parts in detail, see the description of embodiment 1, and provides a prefabricated beam field progress data acquisition and comprehensive management system for a highway bridge, which comprises:

[0144] A site acquisition module is used to collect key material information and regional coordinate information in the target prefabricated beam field, and obtain corresponding prefabricated beam field basic data set; the prefabricated beam field basic data set includes site basic coordinate information and key material feature information;

[0145] An equipment acquisition module is used to construct a prefabricated beam field space coordinate model based on the site basic coordinate information, and to monitor the running track of the gantry crane equipment and collect weight data in the prefabricated beam field by combining the key material feature information, and to obtain corresponding original equipment operation data stream;

[0146] A single evaluation module is used to judge and record the process state in the prefabricated beam field based on the original equipment operation data stream, to obtain corresponding process state conversion sequence; and to statistically analyze the production progress of the prefabricated beam field based on the same, to obtain corresponding single beam production progress report;

[0147] A resource scheduling module is used to aggregate and statistically analyze data based on the single beam production progress report, to obtain an overall production status report; and to optimize the allocation and scheduling planning of resources in the prefabricated beam field based on the overall production status report, to obtain corresponding resource scheduling scheme and execute the same;

[0148] The data feedback module predicts the production capacity in the precast beam field based on the execution state of the resource scheduling scheme, and generates a corresponding production capacity analysis report and progress optimization suggestion based on the prediction result.

[0149] The various modules are connected through wired and / or wireless means to achieve data transmission between the modules.

[0150] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent replacements to some technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0151] It should be noted that in this paper, the term "includes", "contains" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "includes a" does not exclude the presence of another identical element in the process, method, article or device including the element.

[0152] In the description of the present application, it should be understood that the terms "first", "second" and the like are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0153] In the description of the present application, unless otherwise specified, the meaning of "multiple" is two or more.

[0154] In the description of the present application, the meaning of "several" is one or more, and the meaning of "a large number" is two or more.

[0155] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0156] The formula of the present specification is a value calculated by de-dimensioning, the formula is obtained by collecting a large amount of data to simulate a formula of the most recent real situation, and preset parameters and threshold values in the formula are set by a person skilled in the art according to actual conditions.

[0157] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the claims and their equivalents.

Claims

1. A method for collecting and managing progress data of a highway bridge precast beam yard, characterized in that, The application relates to a precast beam field production management method and system. Step S1: key material information and regional coordinate information in a target precast beam field are collected to obtain a precast beam field basic data set; the precast beam field basic data set comprises site basic coordinate information and key material characteristic information; Step S2: a precast beam field space coordinate model is constructed based on the site basic coordinate information, and a running track of a gantry crane in the precast beam field is monitored and weight data of the gantry crane is collected based on the key material characteristic information, so that original equipment running data flow is obtained; Step S3: a production process state in the precast beam field is judged and recorded in real time based on the original equipment running data flow, so that a production process state conversion sequence is obtained; and production progress of the precast beam field is statistically analyzed based on the production process state conversion sequence, so that a single-beam production progress report is obtained; Step S4: data aggregation and statistical analysis are performed based on the single-beam production progress report, so that an overall production condition report is obtained; and resource optimization allocation and scheduling planning are performed based on the overall production condition report, so that a resource scheduling scheme is obtained and executed; Step S5: production capacity in the precast beam field is predicted based on an execution state of the resource scheduling scheme, and a corresponding production capacity analysis report and progress optimization suggestion are generated based on a prediction result; The acquisition process of the precast beam field basic data set comprises the following steps: A production process flow chart is obtained, and production processes in the precast beam field are analyzed and key points are identified based on the production process flow chart, so that a process node list is obtained; and material use conditions are investigated and importance is evaluated based on the process node list, so that a preliminary material list is obtained; Material correlation analysis and process mapping are performed on the preliminary material list, so that a process-material correlation graph is obtained; and material screening and priority sorting are performed based on the process-material correlation graph, so that a key material set is obtained; Material characteristic measurement and data recording are performed based on the key material set, so that a material characteristic parameter table is obtained; and standardization processing and index construction are performed on the material characteristic parameter table, so that a key material characteristic data set is obtained; Meanwhile, coordinate collection is performed on the target precast beam field, so that site basic coordinate data are obtained; The precast beam field basic data set is obtained by integrating and correlating the site basic coordinate data and the key material characteristic data set.

2. The method of claim 1, wherein, The construction process of the precast beam field space coordinate model comprises the following steps: Three-dimensional modeling and space reconstruction are performed based on the site basic coordinate data, so that an initial site model is obtained; function identification and boundary division are performed on the initial site model, so that a regional distribution graph is obtained; and pedestal positioning and number allocation are performed based on the regional distribution graph, so that a pedestal information table is obtained; The model of the precast beam is obtained, and pedestal capacity analysis corresponding to different production pedestals is performed based on the pedestal information table, so that a pedestal capacity matrix is obtained; space data integration and model construction are performed according to the pedestal capacity matrix and the regional distribution graph, so that a precast beam field space coordinate model is obtained.

3. The method of claim 2, wherein The acquisition process of the original equipment running data flow comprises the following steps: Running data of the gantry crane in the precast beam field are collected, so that equipment running data are obtained; Data cleaning and outlier detection are performed on the device operation data to obtain valid time data sequences; and time stamp synchronization and data correlation are performed on the valid time data sequences to obtain a time-correlated data set; Three-dimensional position tracking and coordinate conversion are performed based on the time-correlated data set to obtain a hook spatial position sequence; and position matching and region identification are performed based on the hook spatial position sequence and a precast beam field spatial coordinate model to obtain a hook region attribution record; Threshold analysis and change rate calculation are performed on the hook weight in the device operation data to identify load change events; and feature matching is performed in combination with a key material feature database to obtain a material identification result set; The material identification result set and the hook region attribution record are time-stamped and data-fused to obtain a multi-source data association table; data stream construction and real-time transmission are performed based on the multi-source data association table to obtain an original device operation data stream.

4. The method of claim 3, wherein, The acquisition process of the process state conversion sequence includes: Time window segmentation and event extraction are performed on the original device operation data stream to obtain a device operation event sequence; and operation mode recognition and feature vectorization are performed based on the device operation event sequence to obtain an operation feature vector set; Material transfer path extraction is performed based on the original device operation data stream; Process feature matching is performed based on the operation feature vector set, the hook weight, and a pre-constructed process judgment rule library, in combination with the extracted material transfer path, to obtain a preliminary process judgment result; the preliminary process judgment result includes a process type and a process execution location; The process execution location is coordinate-matched and numbered based on the precast beam field spatial coordinate model to obtain a production platform associated with the corresponding process type and the platform number; A platform state transition model is constructed, and the platform state change of the associated production platform is obtained based on the model; The process execution record is obtained based on the platform state change and the execution process of the process type for time labeling and duration acquisition; The preliminary process judgment result, the platform number, and the process execution record are summarized to obtain a precast beam process state record; The precast beam process state records corresponding to each production process in the precast beam field are obtained, and the corresponding process state conversion sequence is generated based on the records.

5. The method of claim 4, wherein, The acquisition process of the single-beam production progress report includes: The process state conversion sequence is grouped and precast beam-associated to obtain a single-beam process record set, and process completion degree evaluation and time statistics are performed based on the single-beam process record set to obtain a process time consumption analysis table; The process time consumption analysis table is deviated from the pre-set precast beam production period to obtain the production progress deviation of the corresponding single precast beam; and the production progress of the corresponding single precast beam is comprehensively evaluated according to the production progress deviation to obtain a production evaluation result; The current process is identified and the remaining construction period is predicted based on the production evaluation result and the single-beam process record set to obtain a remaining process plan table; and the completion time is estimated and the risk is evaluated according to the remaining process plan table and the historical production data to obtain a completion prediction report; Data integration and report generation are performed based on the completion prediction report and production evaluation result, and a single-beam production progress report is obtained.

6. The method of claim 5, wherein, The obtaining process of the overall production status report includes: The single-beam production progress report is classified, summarized and statistically calculated to obtain a beam yard production statistics table, and time series analysis and capacity evaluation are performed based on the beam yard production statistics table to obtain a capacity utilization rate index; The pedestal state extraction and occupancy statistics are performed based on the single-beam production progress report to obtain pedestal occupancy rate data, and pedestal utilization efficiency analysis and bottleneck identification are performed according to the pedestal occupancy rate data to obtain a pedestal resource evaluation report; The work-in-process quantity statistics and distribution analysis are performed based on the single-beam production progress report to obtain a work-in-process state matrix, and process balance evaluation and process optimization suggestions are performed according to the work-in-process state matrix to obtain a production balance analysis report; Data integration and visual processing are performed based on the capacity utilization rate index, the pedestal resource evaluation report and the production balance analysis report to obtain an overall production status report.

7. The method of claim 6, wherein the method further comprises: The obtaining process of the resource scheduling scheme includes: The production bottleneck list is obtained by performing problem identification and bottleneck analysis on the overall production status report of the beam yard; the resource demand matrix is obtained by performing root cause analysis and resource demand evaluation based on the production bottleneck list; and the resource gap report is obtained by performing resource matching degree analysis and gap calculation based on the resource demand matrix and the existing resource situation; The preliminary resource allocation scheme is obtained by performing resource configuration priority sorting and allocation strategy formulation according to the resource gap report; and the scheme evaluation index set is obtained by performing production simulation and effect evaluation on the preliminary resource allocation scheme; The optimized resource allocation scheme is obtained by performing scheme comparison and optimization adjustment according to the scheme evaluation index set; and the resource allocation optimization scheme is obtained by performing implementation plan formulation and responsibility allocation based on the optimized resource allocation scheme.

8. The method of claim 7, wherein the method further comprises: The process of generating the corresponding production capacity analysis report includes: The scheme execution data set is obtained by monitoring and data collecting the execution process of the resource scheduling scheme; and the scheduling effect evaluation report is obtained by comparing and analyzing the differences between the scheme execution data set and the expected scheduling target; The production capacity analysis report is obtained by performing comprehensive evaluation and future prediction on the production capacity of the precast beam yard based on the pre-constructed production capacity evaluation index system.

9. The method of claim 8, wherein, The process of generating the progress optimization suggestion includes: The process improvement suggestion list is obtained by performing process improvement analysis based on the production capacity analysis report; and the progress optimization suggestion is obtained by performing precast beam yard progress optimization strategy formulation in combination with the process improvement suggestion list and the historical resource configuration strategy.

Images