A precast beam yard work efficiency closed-loop management method and system

Abstract

The present application relates to the technical field of intelligent construction, in particular to a prefabricated beam yard work efficiency closed-loop management method and system, the method comprising the following steps: configuring the basic data of the beam yard in the intelligent beam yard management platform, and constructing a three-dimensional digital twin scene; collecting the process video stream on each production line, combining the visual recognition algorithm built-in the edge computing box to identify the current process start and end information of the beam body on each pedestal; obtaining the real-time process information corresponding to each pedestal of each production line and synchronizing to the three-dimensional digital twin scene; at the same time, calculating the time length of each current process and judging whether the process overtime occurs; after the start time of the current process reaches the element initial check time, obtaining the actual construction elements and configuring the construction elements of the next process and generating the initial check conclusion and pushing to the responsible person; the responsible person determines whether to proceed to the next process after on-site review. The present application can improve the production efficiency.

Description

Technical Field

[0001] This invention relates to the field of intelligent construction technology, specifically to a closed-loop management method and system for the efficiency of precast beam yards. Background Technology

[0002] Precast beam yards are a core part of bridge construction, and their production efficiency (efficiency) directly determines the project progress. The existing beam yard management mainly has the following technical problems: (1) Lack of data value transformation: Traditional beam yard management data collection relies on manual labor, and untimely data updates can easily lead to data distortion; although some beam yards have applied beam yard management systems, they only passively record working hour data. After the warning, there is a lack of cause feedback and disposal loop, which makes it difficult for massive data to feed back into the optimization of subsequent production and cannot truly drive efficiency improvement; (2) Fragmented and incomplete control dimensions: Real-time monitoring, element pre-control and historical analysis are incomplete, and the whole process loop has not been realized. For example, the lack of element completeness verification before construction leads to production delays due to insufficient preparation; the lack of optimization mechanism based on historical data leads to long-term deviation between scheduling plans and actual production.

[0003] Therefore, in order to solve the problems existing in the management of precast beam yards, it is necessary to provide a closed-loop control method and system for the efficiency of precast beam yards, so as to improve the efficiency and management strategy of beam yards. Summary of the Invention

[0004] To address the technical problems in existing precast beam yard management, such as reliance on manual data collection, delayed production early warning, lack of pre-construction control, lack of closed-loop feedback in early warning handling, and inability of historical data to optimize production, this invention proposes a closed-loop management method and system for precast beam yard efficiency, so as to achieve real-time transparent management and control of beam yard production efficiency, proactive risk defense, and continuous optimization of management strategies.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a closed-loop control method for the efficiency of precast beam yards, comprising the following steps: Step 1: Configure the basic data of the beam yard in the intelligent beam yard management and control platform, and build a three-dimensional digital twin scene based on the configured basic data; Step 2: When each beam begins production, generate a beam ID for each beam; collect process video streams from each production line, and combine them with the visual recognition algorithm built into the edge computing box to identify the current process start and end information of the beam on each platform. At the same time, complete the association and binding of beam ID and beam number through the mobile terminal. Step 3: Obtain the real-time process information corresponding to each platform of each production line and synchronize it to the 3D digital twin scene, drive the virtual 3D model status update, and map the actual beam yard physical scene to the virtual 3D scene in real time; at the same time, calculate the time consumed for each current process and determine whether a process timeout has occurred; if so, send a process timeout warning to the person in charge, and have the person in charge enter the reason for the process timeout. Step 4: After the start time of the current process of each beam reaches the element initial verification time, obtain the actual construction elements and configuration construction elements of the next process and compare them. After generating the initial verification conclusion, push it to the person in charge. After the person in charge conducts on-site verification, mark the preparation status of the next process according to the verification information. After the current process is completed, determine whether to proceed with the next process according to the preparation status of the next process. Step 5: Based on historical production data, conduct basic historical production volume analysis, work efficiency analysis, and dynamic correction of theoretical standard work period, and propose work efficiency management optimization suggestions.

[0006] In step 1, the configured beam yard foundation data includes the following steps: Configure physical element information; the physical element information includes: beam yard production line, platform, beam type, beam number; A process list is configured for each beam type, the process list including the process name and its sequence; Configure the theoretical standard duration for each process. and allowable deviation threshold Configure the construction elements required for each process, including construction team groups, equipment, and material information; Configure the planned start time and theoretical standard construction period for each beam. The end time of the generation plan.

[0007] In step 2, the specific method for the edge computing box to identify the start and end information of the current process is as follows: Identify the start and end feature frames of each process, and determine the start time of the current process for the current beam based on the start and end feature frames. and end time And calculate the actual duration of the current process, using the following formula: = - ; In step 3, the specific method for determining whether a process timeout has occurred is as follows: Calculate the current elapsed time t h The calculation formula is t h = ;in, Indicates the current time; Determine if the current elapsed time satisfies t. h If the conditions are met, the process is considered to have timed out. Indicates the timeout factor. This indicates the theoretical standard duration of the current process.

[0008] In step 3, the real-time process information obtained includes: the beam number corresponding to the beam being produced on each platform of each production line, the current process, and the actual start and end times of the completed processes.

[0009] In step 4, the formula for calculating the initial verification time of the element is: = α; where, This represents the theoretical standard duration of the current process, where α represents a preset coefficient, and 0 ≤ α < 1.

[0010] Step 4 specifically includes the following steps: Step 4.1: After the initial verification time of the current process of each beam, obtain the actual construction elements and configuration construction elements of the next process and compare them. After generating the initial verification conclusion, push it to the person in charge. The initial verification conclusion is that the work is initially complete or that the team / equipment / materials are initially missing. Step 4.2: After the person in charge conducts an on-site verification, the preparation status of the next process is marked as ready or in the process of preparing elements based on the verification information; Step 4.3: If the preparation status is marked as ready, record the person responsible for marking and the marking time. If the preparation status is marked as element preparation, push a strong warning to the corresponding resource coordination department according to the element missing situation. Step 4.4: After receiving the information confirming the coordination of elements from the resource coordination department, return to step 4.1 to regenerate the preliminary verification conclusion. If the preliminary verification conclusion is initially complete, push it to the responsible person; then repeat steps 4.2-4.3 until the preparation status is marked as ready. Step 4.5: After the current process is completed, determine whether the preparation status of the next process has been marked as ready. If so, proceed to the next process; otherwise, wait for the preparation status of the next process to be marked as ready before proceeding to the next process.

[0011] In step 5, the basic historical production volume analysis includes: analyzing the cumulative beam production / erection volume and the monthly beam production / erection volume, and creating charts for intuitive display; The efficiency analysis method is to obtain the average actual construction period of each process for various beam types. The efficiency difference is calculated based on the theoretical standard construction period; a efficiency sample database is constructed by combining data on the causes of work process delays and verification data of construction elements; the efficiency sample database is used to analyze the work processes with high delay rates, the construction teams and shifts of the delayed work processes, and the causes of delays. The method for dynamically correcting the theoretical standard duration is as follows: determine whether the proportion of actual durations of each process that are higher or lower than the theoretical standard duration exceeds a threshold. If so, update the theoretical standard duration based on the actual duration. The method for obtaining the work efficiency management optimization suggestions is as follows: obtain the work efficiency sample database, combine it with historical weather data to form data samples, input them into the pre-trained industry language model processing unit, and through the language model processing unit, propose work efficiency management optimization suggestions from three aspects: labor team management, equipment management, and material management, so as to provide a reference for project managers to optimize and upgrade work efficiency management.

[0012] In addition, the present invention also provides a precast beam yard efficiency closed-loop control system for implementing the aforementioned method, including an application interaction layer, a cloud service platform, and a perception and edge computing layer; The application interaction layer includes a mobile APP and a smart beam yard management and control platform; The perception and edge computing layer includes multiple cameras and multiple edge computing boxes. The cameras are set at the locations of each process on each platform of each production line to collect video streams corresponding to each process and send them to the edge computing boxes. The edge computing boxes are set near each camera to identify the start and end information of the current process of the beam on each platform based on the video stream information collected by the camera and then send it to the cloud service platform. The cloud service platform is used to drive the virtual 3D model status update based on the real-time process information sent by the perception and edge computing layer, and to map the actual beam yard physical scene to the virtual 3D scene in real time; at the same time, it calculates the time elapsed for each current process and determines whether a process timeout has occurred; if so, it sends a process timeout warning to the mobile APP. The cloud service platform is also used to obtain the actual construction elements and configuration construction elements of the next process after the start time of the current process of each beam reaches the element initial verification time, compare them, generate an initial verification conclusion, and push it to the mobile APP corresponding to the person in charge; it is also used to receive the review information sent by the mobile APP corresponding to the person in charge and mark the preparation status of the next process. The intelligent beam yard management platform is used to configure the basic data of the beam yard and to perform three-dimensional modeling based on the basic data.

[0013] The cloud service platform is equipped with: Intelligent pre-control module: After the initial verification time of the current process of each beam, it obtains the actual construction elements and configuration construction elements of the next process, compares them, and generates the initial verification conclusion. Basic data configuration module: used to acquire and store the basic data of the beam yard configured by the smart beam yard management platform; Real-time efficiency monitoring module: used to calculate the time elapsed for each current process and determine whether a process timeout has occurred; Decision Analysis Module: Based on historical production data, this module performs basic historical production volume analysis, efficiency analysis, and dynamic correction of theoretical standard work periods, and proposes optimization suggestions for efficiency management. Work efficiency sample database: used to construct work efficiency data samples by combining data on the causes of work process delays and verification data of construction elements; The message push module is used to push process overtime warnings to the mobile app of the person in charge, and also to push preliminary review results to the mobile app of the person in charge.

[0014] The perception and edge computing layer also includes a multi-source heterogeneous data gateway. The cloud service platform connects to external systems through the multi-source heterogeneous data gateway and then obtains the actual construction elements corresponding to the next process of each process through the multi-source heterogeneous data gateway.

[0015] Compared with the prior art, the present invention has the following advantages: 1. This invention provides a closed-loop control method and system for precast beam yard efficiency. By replacing manual data entry with visual recognition, it achieves second-level automatic capture of process time, eliminates human interference, and ensures the authenticity of efficiency analysis data. 2. This invention moves the management node of the process to before the start of the process through a human-machine collaboration mechanism, changing passive control to proactive pre-control, effectively avoiding downtime due to insufficient preparation of manpower, machinery and materials, and can significantly improve the efficiency of process connection. 3. This invention achieves full-process efficiency control through real-time process management, pre-construction control, and historical data analysis. Simultaneously, through an "early warning-handling-feedback" process, it records the true reasons for each timeout, not only resolving current issues but also providing structured data for subsequent big data analysis. Furthermore, this invention can automatically suggest adjustments to theoretical standard construction periods using historical actual production data and early warning handling data, enabling the management mechanism to continuously iterate and optimize with actual production, thereby continuously improving the overall efficiency of the beam yard. The analysis and decision-making module can generate beam yard production optimization strategies, overcoming the limitations of traditional statistical analysis which can only present "results" but cannot provide "decision suggestions."

[0016] In summary, this invention provides a closed-loop management method and system for precast beam yard efficiency. By constructing a perception and edge computing layer, it can realize automatic time collection based on visual perception, real-time digital twin presentation, real-time early warning and handling, a "human-machine collaboration" element verification mechanism before construction, and efficiency analysis and production optimization methods based on historical handling data. This not only improves production efficiency but also enables real-time transparent management and control of beam yard production efficiency, proactive risk defense, and continuous optimization of management strategies. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a closed-loop control method for precast beam yard efficiency provided in Embodiment 1 of the present invention. Figure 2 This is a schematic diagram of a closed-loop control system for precast beam yard efficiency provided in Embodiment 2 of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1 like Figure 1 As shown, Embodiment 1 of the present invention provides a closed-loop control method for the efficiency of precast beam yards, comprising the following steps: Step 1: Configure the basic data of the beam yard in the intelligent beam yard management platform, and perform 3D modeling based on the production line information and corresponding process information in the configured basic data to build a 3D digital twin scene.

[0020] In step 1, the configured beam yard foundation data includes the following steps: (1) Configure physical element information; the physical element information includes: beam yard production line, platform, beam type, beam number; (2) Configure a process list for each beam type, the process list including the process name and sequence; (3) Configure the theoretical standard working period for each process. and allowable deviation threshold Configure the construction elements required for each process, including construction team groups, equipment, and material information; (4) Configure the planned start time and theoretical standard construction period for each beam. The end time of the generation plan.

[0021] In this embodiment, the digital twin scenario can be constructed on a cloud service platform. Through the digital twin scenario on the cloud service platform, real-time progress data visualization management of the precast beam yard can be achieved, improving management efficiency.

[0022] Step 2: When production of each beam begins, generate a beam ID for each beam; collect process video streams from each production line, and combine them with the visual recognition algorithm built into the edge computing box to identify the start and end information of the current process for each beam on each platform. At the same time, complete the association and binding of beam ID and beam number through the mobile APP.

[0023] In step 2, the specific method for the edge computing box to identify the start and end information of the current process is as follows: Identify the start and end feature frames of each process, and determine the start time of the current process for the current beam based on the start and end feature frames. and end time And calculate the actual duration of the current process, using the following formula: = - .

[0024] Step 3: Obtain the real-time process information corresponding to each platform of each production line and synchronize it to the digital twin scene, drive the virtual 3D model status update, and map the actual beam yard physical scene to the virtual 3D scene in real time; at the same time, calculate the time consumed for each current process and determine whether a process timeout has occurred; if so, send a process timeout warning to the person in charge, and have the person in charge enter the reason for the process timeout.

[0025] In step 3, the specific method for determining whether a process timeout has occurred is as follows: Calculate the current elapsed time t h The calculation formula is t h = ;in, Indicates the current time; Determine if the current elapsed time satisfies t. h If the conditions are met, the process is considered to have timed out. Indicates the timeout factor. This indicates the theoretical standard duration of the current process.

[0026] In step 3, the real-time process information obtained includes: the beam number corresponding to the beam being produced on each platform of each production line, the current process, and the actual start and end times of the completed processes.

[0027] Step 4: After the initial verification time of the current process element of each beam, obtain the actual construction elements and configuration construction elements of the next process and compare them. After generating the initial verification conclusion, push it to the person in charge. After the person in charge conducts on-site verification, mark the preparation status of the next process according to the verification information. After the current process is completed, determine whether to proceed with the next process according to the preparation status of the next process.

[0028] In this embodiment, the preliminary verification conclusion can be "preliminary complete" or "preliminary team / equipment / materials missing". The preliminary verification conclusion is pushed to the responsible person via mobile phone. After the responsible person conducts on-site verification, they can select feedback on the mobile APP. (1) If “All elements are complete, confirm commencement” is selected: then mark the status of the next process as “ready” and record the person and time of confirmation; (2) If “Elements missing, start preparation” is selected, the status of the next process will be marked as “Elements in preparation”. The system will push a strong warning to the relevant resource coordination departments (such as the engineering department, equipment department, and materials department) based on the missing elements, and track until the person in charge returns to select “Elements complete, confirm start”. Then the system will mark the status of the next process as “Ready”, record the person who confirmed and the time, and the next process can start construction normally.

[0029] In this step, through the pre-control of "human-machine collaboration" before the construction of the process, the preparation of manpower, machinery and materials is made before the construction of the next process, which ensures efficient connection between the preceding and following processes and also ensures that the efficiency of each process will not be reduced due to insufficient construction preparation.

[0030] The initial verification time of the elements The calculation formula is: = α; (1) in, This represents the theoretical standard construction period for the current process, where α represents a preset coefficient (0 ≤ α < 1), determined by management personnel. In this embodiment, the start time of the current process reaching the initial verification time of the elements is taken as the start time point for the element completion verification of the next process. This is linked to the configuration construction elements of this process in step 1, including construction team, equipment, and material information, and compared with the actual construction elements. The actual construction elements can be obtained by accessing other management platforms, such as accessing the labor real-name system module to obtain real-time information on construction teams, or accessing the materials ERP system to obtain real-time information on equipment and materials.

[0031] Furthermore, step 4 specifically includes the following steps: Step 4.1: After the start time of the current process of each beam reaches the element initial verification time, obtain the actual construction elements and configuration construction elements of the next process and compare them. After generating the initial verification conclusion, push it to the person in charge. The initial verification conclusion is that it is initially complete or initially missing team / equipment / materials. Step 4.2: After the person in charge conducts an on-site verification, the preparation status of the next process is marked as ready or in the process of preparing elements based on the verification information; Step 4.3: If the preparation status is marked as ready, record the person responsible for the marking and the marking time. If the preparation status is marked as element preparation, push a strong warning to the corresponding resource coordination department according to the element missing situation.

[0032] Specifically, information regarding missing elements can be pushed as a strong early warning to relevant resource coordination departments, such as the engineering department, equipment department, and materials department. Specifically, it can be pushed to the smart beam yard management platform corresponding to the responsible person in the relevant resource coordination department, or it can be pushed to the mobile app corresponding to the responsible person in the relevant department.

[0033] Step 4.4: After receiving the information confirming the coordination of elements from the resource coordination department, return to step 4.1 to regenerate the preliminary verification conclusion. If the preliminary verification conclusion is initially complete, push it to the responsible person; then repeat steps 4.2-4.3 until the preparation status is marked as ready. Step 4.5: After the current process is completed, determine whether the preparation status of the next process has been marked as ready. If so, proceed to the next process; otherwise, wait for the preparation status of the next process to be marked as ready before proceeding to the next process.

[0034] Step 5: Based on historical production data, conduct basic historical production volume analysis, work efficiency analysis, and dynamic correction of theoretical standard work period, and propose work efficiency management optimization suggestions.

[0035] In step 5, the basic historical production volume analysis includes: analyzing the cumulative beam production / erection volume and the monthly beam production / erection volume, and making charts for intuitive display, which can intuitively present historical production volume data; In step 5, the efficiency analysis method is to obtain the average actual construction period of each process for various beam types. The efficiency difference is calculated based on the theoretical standard construction period; a efficiency sample database is constructed by combining data on the causes of work process delays and verification data of construction elements; and the efficiency sample database is used to analyze the work processes with high delay rates, the construction teams and groups of the delayed work processes, and the causes of delays, which can provide a data foundation for production system improvement.

[0036] The formula for calculating the efficiency difference is as follows: = (2) in, This indicates poor work efficiency. Indicates the theoretical standard construction period. This represents the average actual construction period, and analyzes the efficiency difference corresponding to each process. If the value is positive, it indicates that this process of the beam type was completed ahead of schedule overall. If the value is negative, it indicates that this process of the beam type was completed ahead of schedule overall. The smaller the value, the lower the actual efficiency.

[0037] In step 5, the method for dynamically correcting the theoretical standard construction period is as follows: determine whether the proportion of actual construction periods for each process that are higher or lower than the theoretical standard construction period exceeds a threshold. If so, update the theoretical standard construction period based on the actual construction period to provide a basis for subsequent planning and improve the efficiency management mechanism. Specifically, the threshold can be set to 60%-90%, and the theoretical standard construction period can be determined based on the average or median of the actual construction period. Assuming the threshold is set to 80%, that is, 80% of the precast beams have actual construction periods for this process that are higher or lower than the theoretical standard construction period, the theoretical standard construction period needs to be updated. The update method is to use the median or the average of the actual construction periods for each precast beam as the updated theoretical standard construction period.

[0038] In step 5, the method for obtaining the work efficiency management optimization suggestions is as follows: obtain the work efficiency sample database, combine it with historical weather data to form a data sample, input it into the pre-trained industry language model processing unit, and through the language model processing unit, propose work efficiency management optimization suggestions from three aspects: labor team management, equipment management, and material management, so as to provide a reference for project managers to optimize and upgrade work efficiency management.

[0039] Example 2 like Figure 2 As shown, Embodiment 2 of the present invention provides a precast beam yard efficiency closed-loop control system for implementing the precast beam yard efficiency closed-loop control method described in the embodiment, including an application interaction layer 1, a cloud service platform 2, and a perception and edge computing layer 3.

[0040] The application interaction layer 1 includes a mobile app 101 and a smart beam yard management platform 102. The smart beam yard management platform 102 is used to configure the basic data of the beam yard and to perform 3D modeling based on the basic data. The mobile app 101 and the smart beam yard management platform 102 interact with the cloud service platform 2 to achieve data transmission and sharing.

[0041] The perception and edge computing layer 3 includes multiple cameras 301 and edge computing boxes 302. The cameras 301 are positioned on the platforms of each production line at the locations of each process step, collecting video streams corresponding to each process step and sending them to the edge computing boxes 302. The edge computing boxes 302 are positioned near each camera, identifying the start and end times of the current process for the beams on each platform based on the video stream data collected by each camera 301, and then sending this information to the cloud service platform 2. The edge computing boxes 302 are loaded with a visual recognition algorithm, which can automatically identify the actual start and end times of the current process step. Furthermore, the edge computing boxes 302 also need to obtain basic data configuration information from the cloud service platform 2, and perform visual recognition based on this configuration information to obtain the start and end times of the process steps.

[0042] The cloud service platform 2 is used to drive the virtual three-dimensional model status update based on the real-time process information sent by the perception and edge computing layer 3, and to map the actual beam yard physical scene to the virtual three-dimensional scene in real time; at the same time, it calculates the time consumed for each current process and determines whether a process timeout has occurred; if so, it sends a process timeout warning to the mobile APP 101.

[0043] The cloud service platform 2 is also used to obtain the actual construction elements and configuration construction elements of the next process after the start time of the current process of each beam reaches the element initial verification time, compare them, generate an initial verification conclusion, and push it to the mobile APP 101 corresponding to the person in charge; it is also used to receive the review information sent by the mobile APP 101 corresponding to the person in charge and mark the preparation status of the next process.

[0044] After receiving the preliminary verification results, the responsible person will conduct an on-site verification and then provide feedback via the 101 mobile app. (1) If “All elements are complete, confirm commencement” is selected, the mobile APP101 will send the verification information to the cloud service platform. The cloud service platform will mark the status of the next process as “ready” and record the person confirming and the time. (2) If “Elements missing, start preparation” is selected, the mobile APP101 will send the review information to the cloud service platform. The cloud service platform will mark the status of the next process as “Elements in preparation” and push a strong warning to the relevant resource coordination departments (such as the engineering department, equipment department, and materials department) based on the missing elements. The system will track until the person in charge returns and selects “Elements complete, confirm commencement”. Then the system will mark the status of the next process as “Ready”, record the person and time of confirmation, and the next process can start construction normally.

[0045] Specifically, in this embodiment, the beam yard basic data configured in the intelligent beam yard management and control platform 102 includes: (1) Physical element information; the physical element information includes: beam yard production line, platform, beam type, beam number; (2) A list of processes, which includes the names of the processes and their order; (3) The theoretical standard working period for each process and allowable deviation threshold The construction elements required for each process include construction team, equipment, and material information; (4) Planned start time and theoretical standard construction period for each beam The end time of the generation plan.

[0046] Furthermore, in this embodiment, the sensing and edge computing layer 3 also includes a multi-dimensional heterogeneous data gateway 303. The cloud service platform 2 connects to the external system 4 through the multi-dimensional heterogeneous data gateway 303, and then obtains the actual construction elements corresponding to the next process of each process through the multi-dimensional heterogeneous data gateway 303. Specifically, the external system 4 includes a labor real-name system module 401 and a material ERP system 403. By connecting to the labor real-name system module 401, real-time information of construction teams and shifts can be obtained. By connecting to the material ERP system 403, real-time information of equipment and materials can be obtained. It also includes an Internet of Things (IoT) device 402, which can realize the communication connection between the external system and the multi-dimensional heterogeneous data gateway 303.

[0047] Furthermore, in this embodiment, the cloud service platform 2 is equipped with: Intelligent pre-control module 206: connected to the multi-source heterogeneous data gateway, used to obtain the actual construction elements and configuration construction elements of the next process after the initial verification time of the current process of each beam, and compare them to generate an initial verification conclusion; Basic data configuration module 205: Used to acquire and store the basic data of the beam yard configured by the smart beam yard management platform; Real-time efficiency monitoring module 204: used to calculate the time elapsed for each current process and determine whether a process timeout has occurred; in this embodiment, the real-time efficiency monitoring module is directly connected to each edge computing box to obtain process start and end information; Decision Analysis Module 203: Based on historical production data, it performs basic historical production volume analysis, work efficiency analysis, and dynamic correction of theoretical standard construction period, and proposes work efficiency management optimization suggestions; the relevant information obtained by the decision analysis module is sent to the smart beam yard management and control platform. Work efficiency sample database 202: used to construct work efficiency data samples by combining data on the causes of work process overtime and verification data of construction elements; Message push module 201: It is used to push the process overtime warning to the mobile APP corresponding to the person in charge, and also to push the preliminary review conclusion to the mobile APP corresponding to the person in charge.

[0048] In this embodiment, the intelligent pre-control module 206, the real-time efficiency monitoring module 204, and the efficiency sample database 202 are all connected to the basic data configuration module 205, and obtain the beam yard basic data stored in the basic data configuration module 205.

[0049] In this embodiment, the intelligent pre-control module 206 is also used to regenerate the preliminary verification conclusion after receiving the element coordination confirmation information from the resource coordination department. If the preliminary verification conclusion is initially complete, the preliminary verification conclusion is pushed to the mobile APP 101 corresponding to the person in charge through the message push module 201. After the mobile APP 101 returns the verification information as "elements are complete, confirm commencement", the intelligent pre-control module 206 marks the preparation status of the next process as ready.

[0050] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A closed-loop management method for the efficiency of precast beam yards, characterized in that, Includes the following steps: Step 1: Configure the basic data of the beam yard in the intelligent beam yard management and control platform, and build a three-dimensional digital twin scene based on the configured basic data; Step 2: When each beam begins production, generate a beam ID for each beam; collect process video streams from each production line, and combine them with the visual recognition algorithm built into the edge computing box to identify the current process start and end information of the beam on each platform. At the same time, complete the association and binding of beam ID and beam number through the mobile terminal. Step 3: Obtain the real-time process information corresponding to each platform of each production line and synchronize it to the 3D digital twin scene, drive the virtual 3D model status update, and map the actual beam yard physical scene to the virtual 3D scene in real time; at the same time, calculate the time consumed for each current process and determine whether a process timeout has occurred; if so, send a process timeout warning to the person in charge, and have the person in charge enter the reason for the process timeout. Step 4: After the start time of the current process of each beam reaches the element initial verification time, obtain the actual construction elements and configuration construction elements of the next process and compare them. After generating the initial verification conclusion, push it to the person in charge. After the person in charge conducts on-site verification, mark the preparation status of the next process according to the verification information. After the current process is completed, determine whether to proceed with the next process according to the preparation status of the next process. Step 5: Based on historical production data, conduct basic historical production volume analysis, work efficiency analysis, and dynamic correction of theoretical standard work period, and propose work efficiency management optimization suggestions.

2. The closed-loop control method for precast beam yard efficiency according to claim 1, characterized in that, In step 1, the configured beam yard foundation data includes the following steps: Configure physical element information; the physical element information includes: beam yard production line, platform, beam type, beam number; A process list is configured for each beam type, the process list including the process name and its sequence; Configure the theoretical standard duration for each process. and allowable deviation threshold Configure the construction elements required for each process, including construction team, equipment, and material information; Configure the planned start time and theoretical standard construction period for each beam. The end time of the generation plan.

3. The closed-loop management method for precast beam yard efficiency according to claim 1, characterized in that, In step 2, the specific method for the edge computing box to identify the start and end information of the current process is as follows: Identify the start and end feature frames of each process, and determine the start time of the current process for the current beam based on the start and end feature frames. and end time ; And calculate the actual duration of the current process, using the following formula: = - ; In step 3, the specific method for determining whether a process timeout has occurred is as follows: Calculate the current elapsed time t h The calculation formula is t h = ;in, Indicates the current time; Determine if the current elapsed time satisfies t. h If the conditions are met, the process is considered to have timed out. This represents the timeout factor. This indicates the theoretical standard duration of the current process.

4. The closed-loop control method for precast beam yard efficiency according to claim 1, characterized in that, In step 3, the real-time process information obtained includes: the beam number corresponding to the beam being produced on each platform of each production line, the current process, and the actual start and end times of the completed processes.

5. The closed-loop control method for precast beam yard efficiency according to claim 1, characterized in that, In step 4, the formula for calculating the initial verification time of the elements is: = α; where, This represents the theoretical standard duration of the current process, where α represents a preset coefficient, and 0 ≤ α < 1.

6. The closed-loop control method for precast beam yard efficiency according to claim 1, characterized in that, Step 4 specifically includes the following steps: Step 4.1: After the initial verification time of the current process of each beam, obtain the actual construction elements and configuration construction elements of the next process and compare them. After generating the initial verification conclusion, push it to the person in charge. The initial verification conclusion is that the work is initially complete or that the team / equipment / materials are initially missing. Step 4.2: After the person in charge conducts an on-site verification, the preparation status of the next process is marked as ready or in the process of preparing elements based on the verification information; Step 4.3: If the preparation status is marked as ready, record the person responsible for marking and the marking time. If the preparation status is marked as element preparation, push a strong warning to the corresponding resource coordination department according to the element missing situation. Step 4.4: After receiving the information confirming the coordination of elements from the resource coordination department, return to step 4.1 to regenerate the preliminary verification conclusion. If the preliminary verification conclusion is initially complete, push it to the responsible person; then repeat steps 4.2-4.3 until the preparation status is marked as ready. Step 4.5: After the current process is completed, determine whether the preparation status of the next process has been marked as ready. If so, proceed to the next process; otherwise, wait for the preparation status of the next process to be marked as ready before proceeding to the next process.

7. The closed-loop control method for precast beam yard efficiency according to claim 1, characterized in that, In step 5, the basic historical production volume analysis includes: analyzing the cumulative beam production / erection volume and the monthly beam production / erection volume, and creating charts for intuitive display; The efficiency analysis method is to obtain the average actual construction period of each process for various beam types. The efficiency difference is calculated based on the theoretical standard construction period; a efficiency sample database is constructed by combining data on the causes of work process delays and verification data of construction elements; the efficiency sample database is used to analyze the work processes with high delay rates, the construction teams and shifts of the delayed work processes, and the causes of delays. The method for dynamically correcting the theoretical standard duration is as follows: determine whether the proportion of actual durations of each process that are higher or lower than the theoretical standard duration exceeds a threshold. If so, update the theoretical standard duration based on the actual duration. The method for obtaining the work efficiency management optimization suggestions is as follows: obtain the work efficiency sample database, combine it with historical weather data to form data samples, input them into the pre-trained industry language model processing unit, and through the language model processing unit, propose work efficiency management optimization suggestions from three aspects: labor team management, equipment management, and material management, so as to provide a reference for project managers to optimize and upgrade work efficiency management.

8. A closed-loop control system for precast beam yard efficiency, used to implement the closed-loop control method for precast beam yard efficiency as described in any one of claims 1-7, characterized in that, This includes the application interaction layer, cloud service platform, and sensing and edge computing layer; The application interaction layer includes a mobile APP and a smart beam yard management and control platform; The perception and edge computing layer includes multiple cameras and multiple edge computing boxes. The cameras are set at the locations of each process on each platform of each production line to collect video streams corresponding to each process and send them to the edge computing boxes. The edge computing boxes are set near each camera to identify the start and end information of the current process of the beam on each platform based on the video stream information collected by the camera and then send it to the cloud service platform. The cloud service platform is used to drive the virtual 3D model status update based on the real-time process information sent by the perception and edge computing layer, and to map the actual beam yard physical scene to the virtual 3D scene in real time; at the same time, it calculates the time elapsed for each current process and determines whether a process timeout has occurred; if so, it sends a process timeout warning to the mobile APP. The cloud service platform is also used to obtain the actual construction elements and configuration construction elements of the next process after the start time of the current process of each beam reaches the element initial verification time, compare them, generate an initial verification conclusion, and push it to the mobile APP corresponding to the person in charge; it is also used to receive the review information sent by the mobile APP corresponding to the person in charge and mark the preparation status of the next process. The intelligent beam yard management platform is used to configure the basic data of the beam yard and to perform three-dimensional modeling based on the basic data.

9. A closed-loop control system for precast beam yard efficiency as described in claim 8, characterized in that, The cloud service platform is equipped with: Intelligent pre-control module: After the initial verification time of the current process of each beam, it obtains the actual construction elements and configuration construction elements of the next process, compares them, and generates the initial verification conclusion. Basic data configuration module: used to acquire and store the basic data of the beam yard configured by the smart beam yard management platform; Real-time efficiency monitoring module: used to calculate the time elapsed for each current process and determine whether a process timeout has occurred; Decision Analysis Module: Based on historical production data, this module performs basic historical production volume analysis, efficiency analysis, and dynamic correction of theoretical standard work periods, and proposes optimization suggestions for efficiency management. Work efficiency sample database: used to construct work efficiency data samples by combining data on the causes of work process delays and verification data of construction elements; The message push module is used to push process overtime warnings to the mobile app of the person in charge, and also to push preliminary review results to the mobile app of the person in charge.

10. A closed-loop control system for precast beam yard efficiency as described in claim 8, characterized in that, The perception and edge computing layer also includes a multi-source heterogeneous data gateway. The cloud service platform connects to external systems through the multi-source heterogeneous data gateway and then obtains the actual construction elements corresponding to the next process of each process through the multi-source heterogeneous data gateway.

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