An intelligent construction management and control system for a prefabricated bridge precast beam yard

Abstract

This invention relates to the field of intelligent construction technology for prefabricated bridges, and discloses an intelligent construction management and control system for prefabricated bridge beam yards, comprising: a task-resource topology mapping module for establishing a dynamic occupancy association model between prefabricated task packages and physical service resources; a progress association unit for converting construction progress signals into task demand urgency values; an operation status monitoring module for dividing the operation program into adjustable and irrevocable execution intervals based on the amount of work performed; a resource scheduling arbitration unit for calculating resource switching costs and superimposing operation locking weights on the irrevocable execution intervals; and a logic deadlock inspection module for verifying the operation status before rollback of execution rights. This invention uses the irreversible characteristics of physical operations as logical constraints to eliminate the logical break between management scheduling and physical reality, and avoid the risk of physical scrapping caused by random rollback.

Description

Technical Field

[0001] This invention relates to an intelligent construction management and control system for prefabricated beam yards of prefabricated bridges, belonging to the field of intelligent construction technology for prefabricated bridges. Background Technology

[0002] Current production management of precast bridge beam yards involves large-scale administrative and production resource scheduling. Existing management systems adopt a data processing method based on static production scheduling plans. They record process progress and platform occupancy status through information dashboards. The system relies on the assumption of stable demand, allocates beam yard physical elements according to preset ownership relationships, and maintains the operational order in a predefined environment.

[0003] In actual engineering projects, the bridge erection progress is constrained by weather or site conditions, exhibiting unplanned, pulse-like characteristics. This causes a logical misalignment between external erection requirements and internal production rhythms. Existing systems lack real-time perception of the physical execution phase. When faced with high-frequency, multi-process concurrent dynamic disturbances, they cannot achieve adaptive reconfiguration of management authority without interrupting existing processes. There is a logical time lag between administrative scheduling instructions and the real-time physical phase of beam yard elements, resulting in resource idleness or cascading congestion caused by the convergence of multiple task paths. In addition to the rigid constraints of hardware facility layout and basic production scheduling plans, logical lags in production control also restrict beam yard efficiency. For example, authorization announcement number CN1080 Chinese invention patent 60636B discloses a construction method for an integrally assembled composite beam bridge. It optimizes the physical construction process through factory prefabrication and integral jacking technology. However, it still relies on a preset static operation order in the production control logic chain. When faced with sudden pulse-like demand fluctuations on site, this control method lacks quantitative perception of the irreversibility of physical operations and cannot perform dynamic ownership rollback under the premise of ensuring no physical scrap risk. Especially in multi-resource coupled concurrent processes, it lacks a self-calibration mechanism for the spatiotemporal offset between physical phase and management logic, which can easily lead to deadlock in management flow logic, causing administrative scheduling instructions to lose focus with the real-time physical phase of the beam yard, resulting in resource idleness or cascading congestion.

[0004] Therefore, how to reconstruct the dynamic topology of task and resource occupancy, construct a self-organizing arbitration mechanism based on physical inertial perception, and perform real-time self-calibration of execution fidelity parameters to eliminate logical deadlock and latency deviation in the management flow has become the technical problem to be solved by this invention. Summary of the Invention

[0005] To address the problems mentioned in the background art, the technical solution of the present invention is as follows: An intelligent construction management and control system for prefabricated beam yards of assembled bridges, comprising:

[0006] The task-resource topology mapping module is used to establish a dynamic occupancy association model between prefabrication task packages and physical service resources based on feedback signals from various physical service resources within the beam yard.

[0007] The erection progress association unit is used to receive the erection progress signal from the bridge erection point and convert the erection progress signal into a value indicating the urgency of internal prefabrication tasks.

[0008] The job status monitoring module is used to obtain the process execution volume of each physical service resource. By comparing the process execution volume with the preset execution threshold, the production process is divided into an adjustable range and an irreversible execution range.

[0009] The resource scheduling arbitration unit is used to calculate the resource switching cost of each pre-made task package based on the urgency of the demand, and when the target physical service resource is detected to be in the irrevocable execution interval, the job locking weight is added to the resource switching cost to generate a resource allocation instruction.

[0010] The logical deadlock inspection module monitors the circular dependency state in the dynamic occupancy association model and calls the job status monitoring module to verify the process status before executing resource ownership rollback. The system is configured with the following operating rules: when all pre-made task packages in the deadlock loop are in the irreversible execution range, the logical deadlock inspection module blocks the generation of resource ownership rollback instructions and feeds back the management flow interruption signal to the progress association unit; when there are pre-made task packages in the deadlock loop that are in the adjustable range, the logical deadlock inspection module performs differentiated rollback based on the resource switching cost. By using the job locking weight as the numerical boundary constraint of the resource switching cost, a targeted closed-loop control is formed between the resource allocation instruction and the process status.

[0011] Preferably, the job status monitoring module determines the process status of each physical service resource based on the following judgment rules: The job status monitoring module extracts the real-time process execution volume of each physical service resource in the current process. and real-time process execution volume Compared with the preset total threshold of process execution Perform ratio calculation; when the following conditions are met. When the quantitative judgment conditions are met, the operation status monitoring module locks the current process status of the corresponding physical service resource into an irrevocable execution interval, so as to establish the logical trigger threshold for the resource scheduling arbitration unit to perform differentiated rollback through the quantitative judgment conditions.

[0012] Preferably, the task-resource topology mapping module is also used to generate a pre-locked task package for coupled processes that need to occupy multiple physical service resources at the same time; the resource scheduling arbitration unit is also used to allocate a synchronization lock token to each physical service resource associated with the pre-locked task package, and within the validity period of the token, when the sum of the resource switching costs of each associated resource is lower than a preset coordination threshold, synchronously generate allocation instructions for the corresponding multiple physical service resources to eliminate the logical interlocking state of the coupled processes under asynchronous arbitration.

[0013] Preferably, the resource scheduling arbitration unit is also used to generate a load distribution map of the global production path based on the resource occupancy probability of each prefabricated task package in the subsequent process, and to superimpose the local load peak in the load distribution map as a weight compensation factor into the calculation formula of the resource switching cost. By adjusting the current resource occupancy sequence, the path convergence in the subsequent process can be resolved in advance, thereby offsetting the logical congestion in the dynamic occupancy association model.

[0014] Preferably, it also includes: an execution fidelity monitoring module, used to calculate the actual release time of physical service resource execution tasks. The predicted release time by the resource scheduling arbitration unit The timing deviation between them; the resource scheduling arbitration unit is also used to correct the nominal occupancy time parameter of the corresponding physical service resource in the subsequent process based on the timing deviation, so that the generation logic of the resource allocation instruction keeps adaptively synchronized with the actual physical output efficiency of the beam yard.

[0015] Preferably, the logic deadlock inspection module is also used to analyze the path blocking degree of inactive tasks in the dynamic occupancy association model and calculate the resource layout order degree value. When the resource layout order degree value exceeds the preset entropy increase threshold, the physical resource idle window is used to generate a location sorting instruction. By rearranging the storage location of existing resources, a response channel for high-priority tasks is reserved, thereby realizing the management system's accompanying optimization of the distribution status of existing resources in the beam yard.

[0016] Preferably, when calculating the resource switching cost, the resource scheduling arbitration unit calculates the resource switching cost based on the expected delay loss of the current task and the cascading impact weight of subsequent related tasks. This is used to quantify the degree of disturbance of resource allocation decisions to production stability and ensure that the generated resource allocation instructions meet the principle of minimizing the global logical transfer cost.

[0017] Preferably, when the logic deadlock inspection module identifies a potential logic deadlock in the dynamic occupancy association model, it executes a mandatory ownership rollback strategy by temporarily interrupting the logical occupancy state of the prefabricated task package in the adjustable range and redirecting the released resource operators to the task path with a high demand urgency value.

[0018] Preferably, the operation status monitoring module maintains the state machine phase map of each physical service resource in real time. The state machine phase map divides the production process into an adjustable interval for administrative scheduling and an irreversible execution interval that generates irreversible scrap costs after the physical action is started.

[0019] Preferably, the erection progress association unit converts the real-time construction progress of the bridge erection point into a demand urgency parameter, and uses it as an input variable for the reconstruction of the internal management logic of the system, so as to achieve the rhythm alignment between each discrete task package and physical service resources throughout the entire production cycle.

[0020] Compared with the prior art, the beneficial effects of the present invention are:

[0021] 1. In the intelligent construction of precast beam yards, the erection pulse correlation engine receives external erection progress pulses and converts them into internal task demand urgency vectors. In conjunction with the self-organizing arbitration unit, the resource competition task logic transfer cost is calculated based on the demand urgency vector. This enables the management system to adaptively adjust the production sequence without interrupting existing processes, solving the problem of rigid production scheduling logic caused by the fluctuation of erection demand in the production management of precast beam yards for assembled bridges. This ensures that resource scheduling instructions are consistent with the real-time status of physical elements within the beam yard.

[0022] 2. The physical phase monitoring module divides the process status into a transferable interval and an irrevocable interval. When the ratio of physical execution volume to the preset execution threshold exceeds 85%, the corresponding physical service resource status is locked to an irrevocable state. When calculating the logical transfer cost, physical inertia weights are injected into task packages in the irrevocable interval. This ensures that the physical window legality is verified before the logical deadlock inspection module rolls back resource ownership. Differential rollback is only initiated when there are task packages in the transferable interval in the deadlock loop, avoiding irreversible physical operation interruptions caused by management logic scheduling and maintaining the stability of production site decisions and operational safety. The task resource topology mapping module generates shadow pre-occupancy task packages for coupled processes that need to occupy multiple physical service resources simultaneously. In conjunction with the self-organizing arbitration unit, synchronous locking tokens are allocated at the logical level. When preset coordination conditions are met, resource allocation instructions are generated synchronously, eliminating resource interlocking caused by distributed arbitration. This ensures that complex action management instructions such as cross-platform beam movement have deterministic response characteristics and reduces the idle time of the entire group of resources caused by partial resource occupation.

[0023] 3. The logical deadlock inspection module calculates the topology order vector of the management system based on the blocking degree of inactive task paths in the dynamic occupancy topology mapping. When the topology order vector exceeds the preset proportion threshold, it generates a logical position reorganization instruction using the physical resource idle window. By reordering the existing resources logically and reserving high-priority task response channels, the management system transforms from resolving immediate conflicts to proactively purifying the management environment, ensuring that the efficiency of beam yard management does not decrease with the extension of the production cycle. The execution fidelity observation module calculates the logical deviation between the actual release time of the task undertaken by the physical element and the predicted release time of the self-organizing arbitration unit. In conjunction with the dynamic priority calculation engine, it corrects the nominal occupancy time parameter of the physical element in subsequent processes based on the logical deviation, so that the resource allocation instructions generated by the self-organizing arbitration unit keep dynamically synchronized with the fluctuations in actual execution efficiency, eliminates the logical spatiotemporal offset caused by equipment wear or environmental changes, and improves the accuracy of management instructions in long-chain production sequences. Attached Figure Description

[0024] Figure 1This is a schematic diagram of the resource allocation and closed-loop control principle of the intelligent construction management and control system of the present invention;

[0025] Figure 2 This is a comparison chart of resource switching response performance under different urgency levels of the present invention;

[0026] Figure 3 This is a schematic diagram of the multi-module collaborative operation architecture of the intelligent construction management and control system of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions of the present invention will be objectively and thoroughly described below with reference to the accompanying drawings in the embodiments of the present invention. The embodiments described in this section are intended to explain and illustrate the present invention, and are not intended to limit the scope of protection of the present invention.

[0028] An intelligent construction management and control system for prefabricated beam yards of assembled bridges includes a task-resource topology mapping module, an erection progress association unit, an operation status monitoring module, a resource scheduling arbitration unit, a logic deadlock inspection module, and an execution fidelity monitoring module. The task-resource topology mapping module establishes a dynamic occupancy association model between prefabrication task packages and various physical service resources within the beam yard, based on feedback signals from these resources. Physical service resources include prefabrication platforms, tensioning equipment, and hoisting gantry cranes. A prefabrication task package is defined as a logical set composed of discrete processes. For coupled processes that require simultaneous use of multiple physical service resources, the task-resource topology mapping module generates pre-locked task packages. The system pre-locks target resource groups at the logical level; it establishes a progress correlation unit to receive the erection progress signals from the bridge erection points, converting these signals into internal prefabrication task urgency values. These urgency values ​​characterize the pulse-like impact of external construction progress on internal production rhythm, enabling the system to translate uncertain external demands into input variables for internal management logic. The erection progress correlation unit receives the bridge erection point progress signals, extracts the number of erected beams and the remaining demand in the area to be erected, compares the remaining demand with the beam yard's average daily output load to determine the remaining response time window for beam supply, and calculates the demand urgency value based on the ratio of the response time window to the prefabrication task cycle. When the response time window is reduced to twice the prefabrication cycle of a single beam, the demand urgency value... Set as The above provides priority trigger input for the resource scheduling arbitration unit.

[0029] The job status monitoring module acquires the execution volume of each physical service resource's processes. By comparing the execution volume with a preset total execution threshold, it divides the production process into adjustable and irreversible execution intervals. The module maintains the state machine phase graph of each physical service resource in real time. This phase graph is used to distinguish between administrative scheduling intervals and intervals where irreversible scrap costs are incurred after physical actions are initiated. The process status is determined based on the following criteria: real-time extraction of the real-time execution volume of each physical service resource in the current process. and real-time process execution volume Compared with the preset total threshold of process execution Perform ratio calculations when the quantization criteria are met. At this time, the job status monitoring module will lock the current process status of the corresponding physical service resource into an irrevocable execution interval, whereby... This represents the real-time process execution volume, in units of... , This is the threshold for the total number of preset processes, in units of... The resource scheduling arbitration unit is used to calculate the resource switching cost of each prefabricated task package based on the urgency of demand. When the target physical service resource is detected to be in an irrevocable execution interval, the resource scheduling arbitration unit adds a job locking weight to the resource switching cost to generate a resource allocation instruction. The resource switching cost is calculated based on the expected delay loss of the current task and the cascading impact weight of subsequent related tasks, and is used to quantify the degree of disturbance of resource allocation decision to production stability. For coupled processes, the resource scheduling arbitration unit allocates synchronous locking tokens to each physical service resource associated with the pre-locked task package. Within the validity period of the token, when the sum of the resource switching costs of each associated resource is lower than the preset coordination threshold, allocation instructions for multiple physical service resources are generated synchronously to eliminate the logical interlocking state under asynchronous arbitration. The resource scheduling arbitration unit generates a load distribution map of the global production path based on the resource occupancy probability of each prefabricated task package in subsequent processes, and adds the local load peak in the load distribution map as a weight compensation factor to the calculation of the resource switching cost. By adjusting the current resource occupancy sequence, the path convergence in subsequent processes is eliminated in advance, thereby offsetting the logical congestion in the dynamic occupancy association model.

[0030] The logical deadlock inspection module monitors circular dependencies in the dynamic occupancy association model and calls the job status monitoring module to verify the process status before executing resource ownership rollback. When all pre-built task packages in the deadlock loop are in the irreversible execution range, the logical deadlock inspection module blocks the generation of resource ownership rollback instructions and sends a management flow interruption signal to the setup progress association unit. When there are pre-built task packages in the adjustable range in the deadlock loop, the logical deadlock inspection module performs differentiated rollback based on resource switching costs. By using the job locking weight as the numerical boundary constraint of the resource switching cost, a targeted closed-loop control is formed between resource allocation instructions and process status. The execution fidelity monitoring module calculates the actual release time of physical service resource execution tasks. The predicted release time by the resource scheduling arbitration unit The timing deviation between them, i.e. ,in, Timing deviation, unit: , The actual release time for physical service resources to perform tasks, in units of , The estimated release time is in units of The resource scheduling arbitration unit corrects the nominal occupancy time parameter of the corresponding physical service resources in subsequent processes based on the timing deviation, so that the generation logic of resource allocation instructions is synchronized with the actual physical output efficiency of the beam yard.

[0031] The fidelity monitoring module records the actual release time of the task. With the predicted release time Timing deviation The resource scheduling arbitration unit adjusts the nominal time occupied by subsequent processes based on the deviation. Correction, Follow Feedback gain coefficient The value is determined based on the wireless communication link signal strength indicator. Adjustment, in In to When, coefficient Depend on Increase to This ensures that the resource allocation instruction generation logic is synchronized with the actual output efficiency of the beam yard; the logic deadlock inspection module analyzes the path blocking degree of inactive tasks in the dynamic occupancy association model, calculates the resource layout orderliness value, and when the resource layout orderliness value exceeds the preset entropy increase threshold, it generates a location reorganization instruction using the physical resource idle window, reserving response channels for high-priority tasks by rearranging the storage locations of existing resources, thereby optimizing the distribution status of existing resources in the beam yard; the logic deadlock inspection module extracts beam segments from the beam storage area. Locate the coordinates, obtain the offset vector of the beam segment's center of gravity relative to the production main axis, and then use the longitudinal coordinates of the existing beam segment's center of gravity. Vertical coordinates relative to the baseline of the ideal storage location Discreteness calculation of resource layout orderness numerical value Using the formula Determine the risk of space congestion when the value Exceeding the ratio of the total storage area to the base area of ​​a single beam Determined threshold At that time, the gantry crane is driven to perform coordinate repositioning, causing the center of gravity of the beam to move towards the baseline to eliminate logical congestion.

[0032] Example 1: In a specific application scenario, a prefabricated bridge beam yard has 60 prefabrication pedestals and limited lifting resources. When an unplanned erection demand pulse occurs at the bridge erection site, multiple production paths within the beam yard compete for the same set of lifting gantry crane resources, and some pedestals are in a state where the process execution volume is close to the peak. The erection progress association unit receives the erection progress signal from the bridge erection site and translates it into an internal prefabrication task urgency value based on external construction rhythm fluctuations. The task-resource topology mapping module identifies logical conflicts between urgent task packages and currently executing non-urgent task packages in the dynamic occupancy association model based on the urgency value. The operation status monitoring module extracts the real-time process execution volume of the physical service resources corresponding to the non-urgent task packages. And compare it with the preset total threshold for process execution. The operation, when the quantization judgment condition is met. At this time, the job status monitoring module will lock the current process status of the physical service resource into an irrevocable execution interval. This represents the real-time process execution volume, in units of... , This is the threshold for the total number of preset processes, in units of... .

[0033] The resource scheduling arbitration unit calculates the resource switching cost of prefabricated task packages based on the demand urgency value. When it detects that physical service resources are in an irrevocable execution range, it adds a job locking weight and blocks the resource ownership rollback instruction for that task. The logic deadlock inspection module monitors the circular dependency between gantry crane resources and the platform to be entered in the dynamic occupancy association model. Before executing the resource ownership rollback, it calls the job status monitoring module. When there are prefabricated task packages in the adjustable range in the deadlock loop, the logic deadlock inspection module performs differentiated rollback based on the resource switching cost. By temporarily interrupting the logical occupancy status of tasks in the adjustable range, it redirects the released gantry crane resource operator to the task path with a high demand urgency value. The execution fidelity monitoring module calculates the actual release time of the physical service resource execution task. Compared with the expected release time The timing deviation between them, i.e. ,in, Timing deviation, unit: , The actual release time, in units of , The estimated release time is in units of The resource scheduling arbitration unit corrects the nominal occupancy time parameter of subsequent processes based on the timing deviation, so that the generation logic of resource allocation instructions is synchronized with the physical output efficiency of the beam yard.

[0034] Example 2: In the test environment used to verify the stability of production scheduling, a discrete event simulation model based on queuing theory was used to simulate the resource occupancy logic of the precast beam yard. The original input data of the test was extracted from the operation log of the highway prefabricated bridge precast beam yard, including production scheduling samples for 30 consecutive calendar days in 2024. Gaussian white noise with a signal-to-noise ratio of 20dB was superimposed on the test platform to simulate the signal delay caused by wireless communication link jitter in the industrial field, and a 15% random fluctuation disturbance was injected into the execution time of mechanical equipment actions; sampling period The setting balances the real-time performance of data acquisition with the system processing load. When the fluctuation frequency of the monitored signal is in the high-frequency range, in order to satisfy the Nyquist sampling theorem and avoid signal aliasing, the sampling period is adjusted. Set to 1 second, and sampling period As a global control operator, it guides the discretized execution process of each functional module; the sample group of this invention adopts an intelligent construction management and control system, while the control group adopts static production scheduling logic, based on the urgency of demand. The experiment assessed the system's ability to resolve resource conflicts under five different load gradients: 0.32, 0.58, 0.75, 0.82, and 0.89. The focus of the experiment was to examine the real-time process execution volume. Approaching the preset threshold for total number of processes executed The decision-making response at that time, especially the trend of scheduling success rate change after the ratio reaches 0.85.

[0035] Table 1: Comparison of Production Scheduling Performance Tests

[0036]

[0037] See Table 1 for the urgency value of the demand. When the ratio is 0.82 and the real-time process execution ratio reaches 0.88, it satisfies the condition. Based on the quantitative judgment conditions, the job status monitoring module locks the corresponding physical service resources in the irrevocable execution interval. The resource scheduling arbitration unit blocks the resource ownership rollback instruction for the task by superimposing job locking weights, thereby increasing the scheduling success rate from 62.4% to 94.2% and reducing the number of logical deadlocks from 5 to 0. Data trends show that when the ratio exceeds 0.85, the control group experiences a non-linear decrease in scheduling success rate due to the disconnect between physical constraints at the execution level and logical scheduling at the management level. However, the sample group of this invention, due to the introduction of a physical inertial sensing mechanism, exhibits adaptability in its performance indicators under saturated load conditions.

[0038] Example 3: This example combines Figures 1 to 3 This document describes an intelligent construction management and control system for prefabricated beam yards used in prefabricated bridge construction. Figure 1 As shown, the erection progress association unit receives the erection progress signal from the bridge site erection point and converts the construction progress into a task requirement urgency value. At the same time, the task resource topology mapping module establishes a dynamic occupancy association model between the prefabricated task package and the physical service resources based on the feedback signals of each physical service resource in the beam yard. The operation status monitoring module divides the operation procedure into adjustable intervals and irrevocable execution intervals based on the process execution volume and outputs the interval division status. The resource scheduling arbitration unit receives the requirement urgency value, the occupancy association model, and the interval division status. It calculates the resource switching cost and adds the operation locking weight to the irrevocable execution interval to generate a resource allocation instruction. During this period, the logic deadlock inspection module interacts with the resource scheduling arbitration unit to perform calibration and rollback. The process status verification before the execution ownership rollback is performed to eliminate the management logic break. Finally, a determined resource allocation instruction is output.

[0039] like Figure 2 As shown, the horizontal axis represents the demand urgency value D, and the vertical axis represents the switching time in minutes. It includes the solid line data of the sample group and the dashed line data of the control group. As the demand urgency value D increases from 0.32 to 0.89, the switching time of the control group shows an upward trend, indicating that its efficiency in handling high-urgency tasks rapidly declines. In contrast, the switching time curve of the sample group in this invention increases gradually and remains at a low level. This confirms that after introducing the physical inertial sensing mechanism, the system can effectively suppress the surge in resource switching costs even under high load conditions with a high demand urgency value D. Figure 3As shown, the system adopts a multi-module collaborative architecture to achieve the core objective of intelligent construction management and control of prefabricated bridge beam yards. The erection progress association unit is responsible for receiving erection progress signals and converting demand urgency values. The task resource topology mapping module performs the functions of establishing a dynamic occupancy association model and generating pre-locked task packages. The operation status monitoring module is responsible for dividing irrevocable execution intervals and maintaining the state machine phase map in real time. The resource scheduling arbitration unit performs operations such as generating resource allocation instructions, superimposing operation locking weights, and calculating resource switching costs. The execution fidelity monitoring module calculates timing deviations. The nominal occupancy duration parameter is corrected, while the logical deadlock inspection module focuses on monitoring the circular dependency state and performing differentiated rollbacks. The functional branches of each module all point to the system's ultimate management goal.

[0040] Example 4: In a precast beam yard production unit operating at high frequency and with multiple concurrent processes, for resource occupancy conflicts of gantry cranes identified by the task-resource topology mapping module, the resource scheduling arbitration unit executes a quantitative calculation procedure for resource switching costs. The system determines the baseline priority weight of each precast task package by setting up a progress association unit. And extract the expected release time of the corresponding physical service resources. For tasks that are about to start and are competing for the same resource, the system extracts the estimated delay time. And the cost of performing resource switching in the kernel The composition operation, i.e. ,in, This is the cost of resource switching, and it is a dimensionless value. As the baseline priority weight, The estimated delay time is calculated from the expected release time, in units of... , The preset cascaded influence factor, This represents the total number of subsequent associated processes pointed to by the current prefabricated task package in the dynamic occupancy association model; the resource scheduling arbitration unit compares the conflict paths... The output value is used to select the path with the lower value to generate resource allocation instructions, thereby aligning the urgency of external demands with the relevance of internal processes within a unified arithmetic framework.

[0041] When monitoring inactive tasks in the dynamic occupancy association model, the logical deadlock inspection module simultaneously activates the resource layout orderliness value. Spatial geometric calculations are performed, and the physical coordinates of the centroid of each beam segment in the beam storage area of ​​the beam yard are extracted through a sensor array. The system sets the vertical coordinate of the production main axis as follows: The risk of spatial congestion is characterized by calculating the lateral dispersion of the centroid of all existing beam segments relative to the axis, and the numerical value of the orderliness of resource layout is also considered. The calculation follows the formula ,in, This represents the degree of orderliness in resource allocation, expressed in units of... , This represents the total number of beam segments within the beam storage area. For the first The centroid coordinates of the beam segment, in units of , The coordinates of the preset ideal storage location baseline, in units of When the calculation yields The value exceeds the preset entropy increase threshold. When the system determines that there is logical congestion in the beam storage space, it immediately calls the resource scheduling arbitration unit to generate a position reorganization command, driving the gantry crane to perform coordinate repositioning.

[0042] The fidelity monitoring module provides feedback on the actual release time of physical service resources after the instruction execution is completed. And compare it with the expected release time predicted by the resource scheduling arbitration unit. Timing deviation is obtained by performing subtraction. The system uses a proportional incremental method to determine the nominal occupancy time parameter for subsequent processes. The correction is performed, and the correction logic follows the relational terms. ,in, The corrected nominal occupancy time parameter, in units of , These are the original parameters before correction, in units of... , The preset feedback gain coefficient is set between 0.15 and 0.35. The measured timing deviation is expressed in units of 1. .

[0043] Example 5: In specific engineering deployment applications, system management personnel execute parameter calibration procedures for precast beam yards of different production scales, and determine the nominal occupancy duration parameters of each physical service resource under each process phase by extracting historical production data of the beam yard. The benchmark value, its unit is Furthermore, simulation algorithms were used to test the response of demand impulses under different intensities in order to determine the cascade impact factor. This cascade of influence factors It is a dimensionless constant; the system prioritizes the erection of precast beams. Convert to normalized weight values ​​as baseline priority weights The calculation basis, among which, A positive integer between 1 and 5, representing the baseline priority weight. The calculation follows the formula Feedback gain coefficient The setting is based on the wireless interference intensity of the physical deployment environment. In environments where the signal interference intensity is below -85dBm, the feedback gain coefficient... The value is set to 0.15. In environments where the signal interference intensity is higher than -75dBm, the system will feed back the gain coefficient. Increased to 0.35 to correct physical execution timing deviations caused by communication delays.

[0044] In the commissioning scenario of the precast beam yard management and control system, the management personnel establish coordinate benchmarks and procedures based on the beam yard layout map, calibrate the physical coordinates of the corner points of the beam storage area using positioning equipment, and establish the vertical coordinate of the global ideal storage position benchmark line at the physical centerline of the beam storage area. The unit is This allows the system to construct an empty topology graph containing physical space constraints at the mapping layer; the system sets a preset entropy increase threshold based on historical production turnover data. The threshold is quantified based on the spatial density constraint rule, which is calculated by the ratio of the total area of ​​the storage area to the area of ​​the base of a single beam. And preset entropy increase threshold Set as the ratio of the base area of ​​a single beam The merchant, that is Among them, the preset entropy increase threshold The unit is When the variance of the distribution of the centroid coordinates of the actual beam segments in the storage area is affected by the hoisting operation error, resulting in an abnormally high degree of order in the resource layout... Exceeding the preset entropy increase threshold At that time, the location adjustment command is triggered by the resource scheduling arbitration unit and drives the gantry crane to move the existing resources in the adjustable range to the vertical axis. The baseline direction shifts, and the resource layout orderliness value is reflected. The unit is This ensures that the distribution of physical elements in the beam storage area of ​​the beam yard remains within the pre-defined range of orderliness.

[0045] Example 6: In the scenario of pre-deployment parameter verification, system management personnel perform a standardized decomposition calibration procedure on the time occupied by physical service resources in the process chain. The discretized operation cycle of precast pedestals and tensioning equipment in the beam yard is divided into preparation phase, execution phase, and closing phase. The time sample values ​​of each phase are extracted from the historical production log. The resource scheduling arbitration unit determines the expected release time by calculating the weighted average of the sample values ​​of each phase. The static cardinality is calculated using the following formula. ,in, This is the static base number for the expected release time, in units of... , The average sampling time for each phase, in units of , The weighting coefficients are for the corresponding phases; a physical efficiency decay operator is introduced. Perform product calibration on the static base to adapt to the equipment conditions of different service years, where the physical efficiency decay operator... The value range is set between 0.85 and 1.15. By iteratively aligning the nominal output efficiency of physical devices with real-time job feedback, the system constructs an array of expected release times that reflects the physical reality at the logic layer.

[0046] In task pre-occupancy decision-making scenarios involving multi-resource coupled processes, the task-resource topology mapping module executes a pre-locking triggering procedure based on queue distance, and monitors in real time the relative position of prefabricated task packages in the sequence of tasks to be allocated. It also extracts the idle window duration of physical service resources in the dynamic occupancy association model, when the relative position Meets quantitative judgment criteria At that time, the system automatically generates a pre-locked task package and sends a synchronization lock token to the resource scheduling arbitration unit, wherein... This is the index distance of the prefabricated task package in the queue, which is a positive integer value. The preset trigger threshold is determined by the ratio of the average shifting time of the gantry crane in the beam yard to the preparation time of the process. Through this triggering procedure, the system preemptively mitigates the risk of logical interlocking caused by multi-task contention before the physical action begins. The execution fidelity monitoring module continuously extracts the actual occupancy time of physical resources after the pre-locking command is executed and compares it with the execution deviation of the prediction window. If the absolute value of the deviation exceeds the preset tolerance window, the system automatically adjusts the trigger threshold. The incremental step size enables the pre-occupancy mechanism of the control system to maintain the stability of the scheduling rhythm during long-term operation.

[0047] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An intelligent construction management and control system for prefabricated beam yards of assembled bridges, characterized in that, include: The task-resource topology mapping module is used to establish a dynamic occupancy association model between prefabrication task packages and physical service resources based on feedback signals from various physical service resources within the beam yard. The erection progress association unit is used to receive the erection progress signal from the bridge erection point and convert the erection progress signal into a value indicating the urgency of the internal prefabrication tasks. The job status monitoring module is used to obtain the process execution volume of each physical service resource. By comparing the process execution volume with the preset execution threshold, the production process is divided into an adjustable range and an irreversible execution range. The resource scheduling arbitration unit is used to calculate the resource switching cost of each pre-made task package based on the urgency of the demand, and when the target physical service resource is detected to be in the irrevocable execution interval, the job locking weight is added to the resource switching cost to generate a resource allocation instruction. The logical deadlock inspection module monitors the circular dependency state in the dynamic occupancy association model and calls the job status monitoring module to verify the process status before executing resource ownership rollback. The system is configured with the following operating rules: when all pre-made task packages in the deadlock loop are in the irreversible execution range, the logical deadlock inspection module blocks the generation of resource ownership rollback instructions and feeds back the management flow interruption signal to the progress association unit; when there are pre-made task packages in the deadlock loop that are in the adjustable range, the logical deadlock inspection module performs differentiated rollback based on the resource switching cost. By using the job lock weight as the numerical boundary constraint of the resource switching cost, a targeted closed-loop control is formed between the resource allocation instruction and the process status. The job status monitoring module determines the process status of each physical service resource based on the following judgment rules: The job status monitoring module extracts the real-time process execution volume of each physical service resource in the current process. and real-time process execution volume Compared with the preset total threshold of process execution Perform ratio calculation; when the following conditions are met. When the quantitative judgment conditions are met, the operation status monitoring module locks the current process status of the corresponding physical service resource as an irrevocable execution interval, so as to establish the logical trigger threshold for the resource scheduling arbitration unit to perform differentiated rollback through the quantitative judgment conditions. The operation status monitoring module maintains the state machine phase map of each physical service resource in real time. The state machine phase map divides the production process into an adjustable range for administrative scheduling and an irreversible execution range that generates irreversible scrap costs after the physical action is started.

2. The intelligent construction management and control system for prefabricated beam yards of assembled bridges according to claim 1, characterized in that, The task-resource topology mapping module is also used to generate pre-locked task packages for coupled processes that need to occupy multiple physical service resources at the same time; the resource scheduling arbitration unit is also used to allocate synchronization lock tokens to each physical service resource associated with the pre-locked task package, and within the validity period of the token, when the sum of the resource switching costs of each associated resource is lower than the preset coordination threshold, synchronously generate allocation instructions for the corresponding multiple physical service resources.

3. The intelligent construction management and control system for prefabricated beam yards of assembled bridges according to claim 1, characterized in that, The resource scheduling arbitration unit is also used to generate a load distribution map of the global production path based on the resource occupancy probability of each prefabricated task package in subsequent processes, and to superimpose the local load peak in the load distribution map as a weight compensation factor into the calculation formula of resource switching cost. By adjusting the current resource occupancy sequence, the path convergence in subsequent processes can be eliminated in advance, thereby offsetting the logical congestion in the dynamic occupancy association model.

4. The intelligent construction management and control system for prefabricated beam yards of assembled bridges according to claim 1, characterized in that, Also includes: The fidelity monitoring module is used to calculate the actual release time of physical service resources executing tasks. The predicted release time by the resource scheduling arbitration unit The timing deviation between them; the resource scheduling arbitration unit is also used to correct the nominal occupancy time parameter of the corresponding physical service resource in the subsequent process based on the timing deviation, so that the generation logic of the resource allocation instruction keeps adaptively synchronized with the actual physical output efficiency of the beam yard.

5. The intelligent construction management and control system for prefabricated beam yards of assembled bridges according to claim 1, characterized in that, The logic deadlock inspection module is also used to analyze the path blocking degree of inactive tasks in the dynamic occupancy association model and calculate the resource layout order degree value. When the resource layout order degree value exceeds the preset entropy increase threshold, the physical resource idle window is used to generate a location sorting instruction. By rearranging the storage location of existing resources, a response channel for high-priority tasks is reserved, thereby realizing the management system's accompanying optimization of the distribution status of existing resources in the beam yard.

6. The intelligent construction management and control system for prefabricated beam yards of assembled bridges according to claim 1, characterized in that, When calculating the resource switching cost, the resource scheduling arbitration unit calculates the cost based on the expected delay loss of the current task and the cascading impact weight of subsequent related tasks. This cost is used to quantify the degree of disturbance of resource allocation decisions to production stability and ensure that the generated resource allocation instructions meet the principle of minimizing the global logical transfer cost.

7. The intelligent construction management and control system for prefabricated beam yards of assembled bridges according to claim 1, characterized in that, When the logic deadlock inspection module identifies a potential logic deadlock in the dynamic occupancy association model, it executes a mandatory ownership rollback strategy. This involves temporarily interrupting the logical occupancy state of prefabricated task packages that are in the adjustable range and redirecting the released resource operators to task paths with high demand and urgency values.

8. The intelligent construction management and control system for prefabricated beam yards of assembled bridges according to claim 1, characterized in that, The erection progress association unit transforms the real-time construction progress of the bridge erection site into a demand urgency parameter, which is then used as an input variable for the refactoring of the system's internal management logic.

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