Constructional engineering full life cycle resource intelligent scheduling system and method

Abstract

The invention discloses a building engineering full life cycle resource intelligent scheduling system and method, and belongs to the technical field of building management, and the method specifically comprises the steps: collecting dynamic physical parameters of a component installation process in a construction stage; constructing a spatio-temporal index engine, associating the dynamic physical parameters to corresponding component nodes of the BIM model, and generating a spatio-temporal binding data unit; in an engineering operation and maintenance stage, monitoring operation state data of the component, and when an abnormal state is recognized, extracting current space coordinates of the abnormal component and activating a reverse traceability channel; taking the space coordinates of the abnormal components as retrieval anchor points, matching the space-time binding data units with the same space coordinates, and obtaining a dynamic physical parameter sequence in a construction stage; comparing and mapping the dynamic physical parameter sequence and the abnormal state, generating an operation and maintenance decision instruction set with a construction defect positioning identifier, and inputting a resource scheduling sequence; according to the method, the utilization rate of operation and maintenance decisions on construction stage data is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building management, and particularly relates to an intelligent scheduling system and method for the whole life cycle resources of a construction project. Background Art

[0002] In the whole life cycle management of a construction project, the operation and maintenance stage after completion and delivery is a key link to ensure the long-term safety and performance of the building. With the popularization of BIM (Building Information Modeling) technology and Internet of Things sensors, the construction stage has been able to accurately record the geometric parameters of building components, equipment installation processes, and environmental data. The operation and maintenance stage can also obtain dynamic information such as structural vibration and equipment operation status through real-time monitoring. However, in current engineering practices, the completed BIM model and the building and equipment installation data accumulated during the construction process are mostly archived in the form of static documents, forming information islands with the real-time monitoring data in the operation and maintenance stage, resulting in the ineffective release of the data value of the whole life cycle.

[0003] Existing operation and maintenance strategies mainly rely on the equipment operation data collected in real time by Internet of Things sensors and the results of manual inspections, and judge abnormalities by comparing the current state with preset thresholds. When problems occur in the building structure or equipment, technicians usually only analyze based on the real-time data and target state at the time of the problem. For example, they judge equipment failures through vibration sensor data and evaluate structural damage through crack monitors.

[0004] Although this conventional operation and maintenance method can meet the basic operation and maintenance requirements, it has significant limitations: on the one hand, the component spatial coordinates, material properties, and installation process details contained in the completed BIM model and the spatio-temporal data recorded during the construction process have not been effectively activated, resulting in a lack of systematic understanding of the entire life course of the building in operation and maintenance decisions; on the other hand, the problem analysis only targets the current state and fails to associate with the key data in the construction stage, making it difficult to locate the root cause of the defect from the source, resulting in a lack of pertinence in the maintenance plan. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent scheduling system and method for the whole life cycle resources of a construction project to solve the following technical problems: The BIM model and spatio-temporal data accumulated in the construction stage are in a dormant state and have not formed cross-stage associations with the real-time monitoring data in the operation and maintenance stage, resulting in long-term reliance on manual experience in operation and maintenance decisions and the inability to formulate precise strategies using the digital genes formed during the construction process of the building.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An intelligent scheduling system and method for the whole life cycle resources of a construction project includes the following steps: During the construction stage of a building project, dynamic physical parameters during the component installation process are collected through embedded sensors. The dynamic physical parameters include the trajectory of component form changes, the stress change curve of connectors, and the time series data of environmental forces. A spatio-temporal indexing engine is constructed to associate the dynamic physical parameters with the corresponding component nodes of the BIM model, synchronously record the spatial coordinates and time nodes of the component nodes during the construction stage, and generate spatio-temporal bound data units. During the engineering operation and maintenance stage, continuously receive the component operation status data monitored by IoT terminals. When an abnormal status is identified, extract the current spatial coordinates of the abnormal component and activate the reverse traceability channel. Through the reverse traceability channel, using the current spatial coordinates of the abnormal component as the retrieval anchor point, match the spatio-temporal bound data units with the same spatial coordinates, and obtain the sequence of dynamic physical parameters of the abnormal component during the construction stage. Compare and map the sequence of dynamic physical parameters during the construction stage with the abnormal status during the operation and maintenance stage, generate an operation and maintenance decision instruction set with construction defect location marks, and input it into the resource scheduling sequence.

[0007] As a further solution of the present invention: The specific process of generating the spatio-temporal bound data units is as follows: Create an independent storage container for each component node in the BIM model. The storage container includes a spatial coordinate field, a time node field, and a dynamic parameter storage area. When performing the component installation operation, obtain the final spatial coordinates of the component in real time, synchronously activate the data acquisition function of the embedded sensor, obtain the moment when the component installation is completed, pack the dynamic physical parameters collected within the continuous time window before and after this moment at the millisecond time granularity, and associate them with the storage container corresponding to the component. Attach an environmental correction coefficient to the spatial coordinates in the storage container. The environmental correction coefficient is dynamically calculated based on the correction amount corresponding to the air pressure gradient, the correction amount corresponding to the foundation settlement rate, and the correction amount corresponding to the temperature and humidity change curve during the construction stage, and is used to compensate for the spatial coordinate offset caused by building deformation.

[0008] As a further solution of the present invention: The specific process of associating the dynamic physical parameters with the storage container is as follows: Set the moment when the component installation is completed as the time origin, trace back to the initial moment when the installation device contacts the component, and extend backward to the termination moment when the adjacent component installation is completed. Intercept all the sensing data of the target component and the contacting components within this time period, decompose them into discrete data units in chronological order; each data unit is marked with the time offset relative to the time origin and is bound to the spatial coordinates of the component recorded by the positioning device to form a chain of spatio-temporal bound data units.

[0009] As a further solution of the present invention: The specific method for activating the reverse traceability channel is as follows: Establish a real-time mirror model of the building information model in the operation and maintenance stage. When the Internet of Things device detects abnormal vibration characteristics, sudden change in temperature distribution, or stress level exceeding the limit of a component, mark the component as an abnormal node, extract the three-dimensional spatial coordinates of the abnormal node, and search for historical component nodes within the spatial coordinate error range of the abnormal node in the mirror model; If the historical component node exists in the time-space bound data unit library in the construction stage, activate the reverse traceability channel; if the mirror model shows that the current component is a replacement part during the operation and maintenance period, retrieve the construction identification code in the installation record of the replacement part, and jump to the time-space bound data unit library of the historical project associated with the construction identification code to perform traceability.

[0010] As a further solution of the present invention: The process of performing traceability in the time-space bound data unit library of the historical project associated with the construction identification code is as follows: During the component replacement operation, read the identity code of the new component. According to the supplier identifier in the identity code, access the supply chain database to obtain the production batch code and the set of factory parameters of the component; match the production batch code with the project database of the construction enterprise to locate the historical project code where the batch of components was first installed, and load the corresponding time-space bound data unit library based on the historical project code to achieve cross-project jump of the reverse traceability channel.

[0011] As a further solution of the present invention: The specific process of the comparison mapping is as follows: Expand the physical parameters in the abnormal state during the operation and maintenance stage into an operation and maintenance state waveform diagram in the time dimension; extract the construction process waveform diagram of the same type of parameters from the dynamic physical parameter sequence in the construction stage; Perform double-track alignment on the two waveform diagrams. Taking the completion moment of component installation in the construction stage as the reference point, map the occurrence moment of the operation and maintenance anomaly to the equivalent time axis after the reference point, and calculate the spectral coherence coefficient of the two waveform diagrams within the equivalent time interval; when the spectral coherence coefficient exceeds the set threshold, it is determined that there is an association between the operation and maintenance anomaly and the dynamic physical parameters in the construction stage.

[0012] As a further solution of the present invention: Determining that there is an association between the operation and maintenance anomaly and the dynamic physical parameters in the construction stage specifically means: If there is a pulse peak in the construction process waveform diagram that coincides with the phase of the operation and maintenance anomaly waveform, and this pulse peak occurs during the deformation recovery process when the component is not fully fixed, it is marked as an installation preload defect; If the construction process waveform diagram shows that the environmental force continuously acts on the component connection area, and the operation and maintenance anomaly waveform shows the characteristics of harmonic superposition of the same frequency, it is marked as environmental cumulative damage; If an interference event between adjacent components is recorded in the construction process waveform diagram after installation, and there is a sudden increase in energy in the corresponding frequency band within the equivalent time interval of the operation and maintenance abnormal waveform, it is marked as a cross-component chain reaction.

[0013] As a further solution of the present invention: the operation and maintenance decision instruction set specifically includes: For the component marked with installation preload defects, send a reinstallation instruction to the maintenance terminal, and attach an optimized stress release path plan recorded in the construction stage; For the component marked with environmental cumulative damage, apply to the resource scheduling system for installing a buffer device, and the design parameters of the buffer device are generated based on the environmental force waveform in the construction stage; For the component marked with a cross-component chain reaction, assign a scanning task of the interference state of adjacent components to the detection device, and the scanning range is determined according to the spatio-temporal coordinates of the interference event in the construction stage.

[0014] As a further solution of the present invention: the design parameters of the buffer device are: Extract the time series record of the environmental force during the construction stage of the abnormal component from the spatio-temporal binding data unit, identify the core frequency component and amplitude fluctuation range of the environmental force waveform; design a hydraulic buffer with reverse vibration damping characteristics, and the frequency response characteristics of the hydraulic buffer correspond to the core frequency component of the environmental force, and calculate the stroke limit value and pressure adjustment rate of the hydraulic buffer according to the amplitude fluctuation range.

[0015] The present invention further includes an intelligent resource scheduling system for the whole life cycle of a construction project, which is used to implement the above-mentioned intelligent resource scheduling method for the whole life cycle of a construction project, including: A database for storing the dynamic physical parameters of the component installation process collected by the embedded sensor during the construction stage of the construction project, and the dynamic physical parameters include the component shape change trajectory, the stress change curve of the connecting piece, and the environmental force time series data; A spatio-temporal correlation module for constructing a spatio-temporal index engine, associating the dynamic physical parameters with the corresponding component nodes of the BIM model, synchronously recording the spatial coordinates and time nodes of the component nodes during the construction stage, and generating a spatio-temporal binding data unit; An operation and maintenance monitoring module for continuously receiving the component operation status data monitored by the Internet of Things terminal during the project operation and maintenance stage, and when an abnormal state is identified, extracting the current spatial coordinates of the abnormal component and activating the reverse traceability channel; A parameter backtracking module for, through the reverse traceability channel, using the current spatial coordinates of the abnormal component as a retrieval anchor point, matching the spatio-temporal binding data unit with the same spatial coordinates, and obtaining the dynamic physical parameter sequence of the abnormal component during the construction stage; The operation and maintenance decision module is used to compare and map the dynamic physical parameter sequence of the construction phase with the abnormal state of the operation and maintenance phase, generate an operation and maintenance decision instruction set with construction defect location identification, and input it into the resource scheduling sequence.

[0016] Beneficial effects of the present invention: The present invention effectively solves the problems of dormant construction data and lack of systematic operation and maintenance decision-making in the prior art by constructing a cross-temporal and spatial association mechanism between dynamic data in the construction phase and abnormal states in the operation and maintenance phase. The present invention collects dynamic physical parameters such as morphological change trajectory and stress curve of the component installation process in real time through embedded sensors, and uses the spatiotemporal index engine to accurately bind it to the BIM model component node, and adds environmental correction coefficients to compensate for building deformation, forming a spatiotemporal binding data unit containing spatial coordinates, time nodes and full-dimensional physical parameters, activating the static construction phase data in the completed BIM model, and providing systematic data support for the entire life cycle of the building for operation and maintenance decisions. Secondly, when an operation and maintenance anomaly is identified, by establishing an operation and maintenance real-time mirror model, the reverse traceability channel is activated with the spatial coordinates of the abnormal component as the anchor point, which can not only match the historical construction data with the same coordinates, but also trace the original installation records of the replaced components across projects through supply chain coding, breaking through the single project data barrier and realizing the leap from current state analysis to full-process causal traceability. The present invention significantly improves the utilization rate of construction phase data in operation and maintenance decisions through deep binding of spatiotemporal data, cross-stage intelligent tracing and automatic diagnosis of defect types, realizes intelligent upgrade of resource scheduling throughout the life cycle of buildings, effectively reduces operation and maintenance costs and improves the pertinence and efficiency of defect repair. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] Figure 1 It is a flow chart of a method for intelligent resource scheduling of a construction project throughout its life cycle according to the present invention; Figure 2 It is a module schematic diagram of a construction engineering full life cycle resource intelligent scheduling system according to the present invention. DETAILED DESCRIPTION

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

[0020] See also Figure 1 As shown, the present invention is a method for intelligent scheduling of resources throughout the life cycle of a construction project, comprising the following steps: During the construction stage, an embedded sensor network is deployed at key parts of the components. For example, fiber Bragg grating sensors are attached to the surface of the steel structure to capture in real time the morphological change trajectories of the components under the action of loads; strain gauge sensors monitor the stress change curves of bolt connections and welded joints; environmental monitoring equipment collects environmental parameters such as wind speed, temperature and humidity, and air pressure to form time-series data of environmental forces. Various sensors sample at a millisecond-level frequency, and the data is pre-processed by edge computing to form a standardized data stream.

[0021] To integrate construction data with the BIM model, a spatio-temporal indexing engine is constructed. Exclusive storage containers are created for each component node in the BIM model, including spatial coordinates, time nodes, and dynamic parameter storage areas. When the component installation is completed, the ultra-wideband positioning technology is used to obtain the three-dimensional coordinates, the installation time is recorded in combination with a high-precision clock, and the dynamic parameters within the front and back time windows are intercepted and associated with the corresponding storage containers. According to data such as foundation settlement and temperature and humidity changes, the environmental correction coefficient is dynamically calculated and applied to the spatial coordinates to ensure the accuracy of spatio-temporal data, and spatio-temporally bound data units are generated.

[0022] During the operation and maintenance stage, the IoT terminals continuously collect operation status data such as the vibration frequency, stress, and temperature of the components. When the monitored data is abnormal, the three-dimensional spatial coordinates of the abnormal component are extracted to activate the reverse tracing channel.

[0023] Using the spatial coordinates of the abnormal component as the retrieval anchor point, spatio-temporally bound data units with the same coordinates are matched in the spatio-temporal indexing database constructed during the construction stage, and the morphological change trajectory, connector stress curve, and environmental force history at the time of installation of the component are quickly retrieved to achieve precise association of cross-stage data.

[0024] The parameter sequences in the construction stage and the operation and maintenance abnormal state data are unfolded into waveform diagrams in the time dimension, aligned with the installation completion time as the benchmark, and the feature similarity is calculated through the spectrum analysis algorithm to identify construction defects such as insufficient installation preloading, environmental cumulative damage, and cross-component chain reactions, and an operation and maintenance decision instruction set including defect types, positions, and causes is generated and input into the resource scheduling system to drive the reasonable allocation of resources, realizing precise management of building operation and maintenance.

[0025] In a preferred embodiment of the present invention, the specific process of generating the spatio-temporally bound data unit is as follows: When building a Building Information Model, an independent storage container is created for each component node. This container serves as the basic unit for carrying the data of the component's entire life cycle and contains three core fields. The spatial coordinate field is used to record the precise three-dimensional position of the component during the construction stage. The data source is the on-site real-time positioning system: ultra-wideband positioning tags are fixed on the surface of the component, and through signal interaction with multiple positioning base stations deployed at the construction site, the spatial coordinates X, Y, and Z with millimeter-level accuracy are calculated to ensure consistency with the actual installation position of the component. The time node field uses a high-precision clock system to record the instant when the component installation is completed. This time point is determined through double verification: on the one hand, the operation end sensor signals of construction machinery such as tower cranes and cranes are read, and on the other hand, manual confirmation is carried out by construction personnel on the BIM collaborative management platform to form a reliable time reference. The dynamic parameter storage area is used to classify and store various physical parameters collected during the component installation process, including the morphological change trajectory, the stress curve of the connector, and the environmental force data.

[0026] When performing the component installation operation, first, the final spatial coordinates of the component are obtained in real time through the positioning system. This coordinate serves as the unique position identifier of the component in the building space and will run through the entire life cycle data management. The embedded sensors pre-deployed at the key parts of the component are synchronously activated, such as fiber Bragg grating sensors attached to the surface of the steel structure, strain gauges installed at bolt nodes, and environmental monitoring equipment. These sensors continuously collect data during the component installation process: the fiber Bragg grating sensors capture the three-dimensional deformation trajectory of the component under the action of the load, the strain gauges record the tensile, compressive, and shear stress fluctuations of the connector, and the environmental sensors collect environmental parameters such as temperature, humidity, and air pressure gradient. Taking the instant when the component installation is completed as the center, a continuous time window containing the key installation processes is delimited. The duration is adjusted according to the component type and installation process. All the dynamic physical parameters collected during this period are packaged at the millisecond-level time granularity. Each data packet contains information such as parameter type, timestamp, and value, and a mapping relationship is established with the corresponding storage container through the unique identifier of the component, such as RFID tag encoding or BIM component ID, to ensure that the dynamic data during the construction stage is accurately associated with the target component node in the BIM model.

[0027] Considering that environmental factors during the construction stage may cause slight offsets in the spatial coordinates of components, an environmental correction mechanism is introduced to dynamically compensate the spatial coordinates in the storage container. The calculation of the environmental correction coefficient is based on three core factors: First is the air pressure gradient. By means of a network of air pressure sensors deployed on-site, air pressure data at different heights are obtained in real time. According to the physical property of air pressure varying with height, the vertical component of the spatial coordinates is corrected. Second is the foundation settlement rate. The deformation of the foundation is continuously monitored using the leveling points within the site, and the cumulative settlement during the component installation period is predicted through time series analysis to linearly adjust the Z-axis coordinate. Finally is the influence of temperature and humidity changes. Combining the physical properties of the component materials, such as the linear expansion coefficient of steel and the shrinkage rate of concrete, an empirical model of temperature and humidity versus component size deformation is established to calculate the correction amounts for the three-dimensional coordinates. The correction amounts of these three factors are synthesized into the total environmental correction coefficient through a weighted fusion algorithm and automatically appended to the spatial coordinate field of the storage container to ensure that the recorded spatial position can reflect the true state of the component in real time and effectively compensate for the coordinate offsets caused by building deformation.

[0028] In a preferred case of this embodiment, the specific process of associating dynamic physical parameters with the storage container is as follows: Set the moment when the component installation is completed as the time origin. Centered on the origin, trace back to the initial moment when the installation equipment first contacts the component, for example, the moment when the crane hook touches the lifting point of the component, and extend backward to the termination moment when the adjacent component installation is completed, that is, the time point when the support connected to the target component is fixed, to form a time interval covering the entire installation process.

[0029] During this time period, synchronously intercept all the sensing data of the target component and the contacting components. The target component refers to the main component being installed currently, such as a steel column or a precast beam, and the contacting components include directly stressed components such as support brackets and connecting bolts. Sensors deployed on the components collect data: the fiber Bragg grating sensors on the target component record the deformation trajectory, the strain gauges monitor the node stresses, the sensors on the contacting components feedback the force states at the connection parts, and the environmental sensors synchronously collect parameters such as temperature and humidity to form a continuous data stream.

[0030] Decompose the continuous data stream into discrete data units at a unified time interval. Each unit is labeled with the time offset relative to the time origin. For example, 30 seconds before the time origin is marked as -30000 milliseconds, and 20 seconds after the origin is marked as +20000 milliseconds, and the spatially corrected component coordinates X, Y, and Z are bound. Through the dual identification of the time offset and the spatial coordinates, the data units are associated with the BIM model component nodes.

[0031] All discrete data units are connected in chronological order to form a data unit chain, which is stored in the dynamic parameter area of the BIM model. For example, when installing a steel column, the data chain records the deformation curve, bolt stress growth, and temperature and humidity effects from lifting and positioning to bolt tightening, providing complete data retrieved by time axis for reverse tracing during the operation and maintenance phase, realizing the time-space binding of the entire process from the contact of the installation equipment to the fixation of adjacent components, and constructing a digital record of mechanical transmission between components.

[0032] In another preferred embodiment of the present invention, the method of activating the reverse tracing channel is specifically: During the operation and maintenance phase, a real-time mirror model of the building information model is constructed, which synchronizes the spatial position, operating status and life cycle attributes of building components in real time to form a digital twin that corresponds to the physical entity. When the IoT devices deployed in various areas of the building detect that a component is in an abnormal state, such as a vibration sensor detects that the vibration frequency deviates from the normal range, a temperature sensor monitors a sudden change in temperature distribution, or a stress sensor finds that the stress level exceeds the design threshold, the system immediately marks the component as an abnormal node and extracts its current three-dimensional spatial coordinates through the positioning module.

[0033] The mirror model searches for historical component nodes in the spatiotemporal binding data unit library established during the construction phase based on the spatial coordinate matching algorithm. The matching process allows a certain range of coordinate errors to accommodate the slight positional offsets caused by factors such as foundation settlement and material deformation during long-term use of the building. The mirror model first converts the three-dimensional coordinates of the abnormal node into a coordinate system consistent with the construction phase, and then defines a cube search range with the coordinate as the center. The search range radius is dynamically adjusted according to the building type and service life, and the spatial coordinates of all historical component nodes within the range are retrieved. If there is a historical component node that matches the coordinates of the abnormal node within the search range, and the node exists in the spatiotemporal binding data unit library during the construction phase, the reverse traceability channel is directly started to retrieve the dynamic physical parameters, installation time nodes, and environmental impact data of the component during the construction phase.

[0034] If the mirror model shows that the current abnormal component is a replacement part during operation and maintenance, that is, a component not installed during the original construction stage, a special traceability process is triggered. Each replacement part needs to enter a construction identification code during installation. This identification code includes the component identity code, replacement time, and associated historical project information. The system first reads the identity code of the replacement part, which usually includes information such as the supplier identifier and production batch number, and then accesses the supply chain database based on the supplier identifier to obtain the production batch code and factory parameter set of the component. The factory parameter set includes material performance indicators, processing technology parameters, etc. By matching the production batch code with the internal project database of the construction enterprise, the historical project code where the batch of components was first installed is located. Finally, the corresponding spatio-temporal binding data unit library is loaded based on the historical project code to achieve data jump from the operation and maintenance site to the historical construction project.

[0035] In another preferred embodiment of the present invention, the process of performing traceability by the spatio-temporal binding data unit library associated with the historical project of the construction identification code is as follows: In the component replacement operation, the identity code of the new component is the key link connecting the operation and maintenance data and the historical construction data. The identity code usually takes the form of an RFID tag or a QR code and contains 18 characters. The first 6 characters are the supplier identification code, the middle 8 characters are the production batch number, and the last 4 characters are the component serial number. When installing the replacement part, the construction personnel scan the identity code through a mobile terminal, and the system automatically analyzes the supplier identification therein and accesses the enterprise-integrated supply chain database. This database stores the component production information of all cooperative suppliers, including the raw material sources, processing technologies, quality inspection reports, and first installation project records of each batch of components.

[0036] After obtaining the production batch code, the system enters the construction enterprise project database for matching. The project database stores data according to a three-level structure. The first level is the project code, the second level is the batch code, and the third level is the component number. The project code includes information such as region, year, and project type. By performing fuzzy matching between the production batch code and the batch information in the project database, the system can locate the historical project code where the batch of components was first used. For example, if the production batch number of a replacement part is 20220815A and it is found in the project database that this batch of components was used in a commercial complex project in Shanghai in 2022, the spatio-temporal binding data unit library corresponding to this historical project is automatically loaded.

[0037] After the loading is completed, the reverse traceability channel enables cross-project data jump, associating the operation and maintenance abnormal data of the current replacement part with the construction data of the same batch of components in the historical project. At this time, the system can not only retrieve the original installation parameters of the component, such as installation time, spatial coordinates, and initial stress value, but also obtain the quality data during its production stage and the historical operation and maintenance records of other components in the same batch. For example, if bolt stress anomalies occur in a batch of steel components in multiple projects, the system can quickly locate the processing technology defects or design selection problems of this batch of components through cross-project data comparison, providing a more comprehensive reference basis for operation and maintenance decision-making.

[0038] In another preferred embodiment of the present invention, the specific process of the comparison and mapping is as follows: After detecting the abnormal state of the component during the operation and maintenance stage, first expand the physical parameters corresponding to the abnormal state (such as vibration frequency, stress value, temperature change, etc.) in chronological order to form an operation and maintenance state waveform diagram reflecting the dynamic change of the parameters. This waveform diagram uses time as the horizontal axis and the physical parameter value as the vertical axis, clearly presenting the parameter fluctuation trends before, during, and after the occurrence of the abnormality. For example, when a steel component has a stress overrun anomaly, the operation and maintenance state waveform diagram will show that the stress value continuously exceeds the design threshold within a specific time period, accompanied by periodic fluctuations.

[0039] Synchronously extract the construction process waveform diagram of the same type of physical parameters from the space-time bound data unit in the construction stage. The construction process waveform diagram covers the parameter changes during the installation process of the component from equipment contact to installation completion, including dynamic data such as component force deformation, node stress growth, and environmental factor influence. Taking the installation of a steel column as an example, the construction process waveform diagram can present the stress growth curve over time during the bolt tightening process, the temperature decay trajectory during welding cooling, and the influence curve of wind speed change on component stability during installation.

[0040] To achieve the comparability of cross-stage data, perform double-track alignment processing on the two waveform diagrams. Taking the moment when the component installation is completed in the construction stage as the time reference point (marked as T0), map the moment when the operation and maintenance abnormality occurs (marked as T1) to the equivalent time axis starting from T0, that is, calculate the time difference between T1 and T0 to determine the corresponding position of the operation and maintenance abnormality on the construction time axis. For example, if the operation and maintenance abnormality occurs on the 1000th day after the building is put into use, it is necessary to convert it to the total duration starting from T0 to form a unified time coordinate system with T0 as the origin, so that the waveform diagrams in the construction stage and the operation and maintenance stage have an alignment basis in the time dimension.

[0041] Under the unified time coordinate system, calculate the spectral coherence coefficient of the two waveform diagrams within the equivalent time interval. This coefficient reflects the correlation between the two signals in different frequency components. The analysis process first performs a Fourier transform on the waveform diagram to convert the time-domain signal into a frequency-domain distribution, obtaining the amplitude and phase information of each frequency component. Then, calculate the coherence coefficient through the cross-power spectral density function. The value range of this coefficient is from 0 to 1, and the larger the value, the higher the correlation of the frequency components of the two signals. When the spectral coherence coefficient exceeds the preset threshold (dynamically set according to the component type and parameter characteristics), it is determined that there is a potential association between the operation and maintenance anomaly and the dynamic physical parameters in the construction stage, triggering the subsequent defect type identification process.

[0042] In a preferred case of this embodiment, determining the association between the operation and maintenance anomaly and the dynamic physical parameters in the construction stage specifically includes: (I) Installation preloading defect determination If there is a pulse peak in the construction process waveform diagram that coincides with the phase of the operation and maintenance anomaly waveform, and this pulse peak appears in the deformation recovery process when the component is not fully fixed (i.e., the positioning adjustment stage before the installation completion time T0), it is marked as an installation preloading defect. For example, during the installation of steel components, if the component rebounds due to insufficient pre-tightening force after the crane unloads, the construction waveform diagram will show a rebound pulse peak after a sudden stress drop in the unloading period before T0. When there is a periodic stress anomaly at the same position during the operation and maintenance stage, and the pulse peak at the corresponding frequency in the waveform diagram is in the same phase as that in the construction stage, it can be determined that the preloading force during installation did not meet the standard, resulting in the component being in a non-designed stress state for a long time.

[0043] (II) Environmental cumulative damage determination When the construction process waveform diagram shows that environmental forces (such as long-term alternating loads, temperature and humidity cycles, corrosion medium erosion, etc.) continuously act on the component connection area, and the operation and maintenance anomaly waveform shows the characteristics of harmonic superposition at the same frequency, it is marked as environmental cumulative damage. For example, during the construction stage, it is recorded that a certain node has been continuously subjected to high-frequency vibration loads, and its construction waveform diagram has a continuous energy distribution in the corresponding frequency band; during the operation and maintenance stage, fatigue cracks appear at this node, and the abnormal waveform shows a significant increase in harmonic components in the same frequency band, and the phase is consistent with the environmental force waveform in the construction stage, indicating that the long-term environmental action has led to the degradation of material properties and formed cumulative damage.

[0044] (III) Cross-component chain reaction determination If an adjacent component interference event (such as mechanical vibration conduction during the installation of adjacent beams, load redistribution caused by support settlement, etc.) is recorded in the construction process waveform diagram after installation (after T0), and there is a sudden increase in energy in the corresponding frequency band in the equivalent time interval of the operation and maintenance abnormal waveform, it is marked as a cross-component chain reaction. For example, during the installation of a certain column component in the construction stage, the hoisting of an adjacent beam caused high-frequency vibration in its temporary support system, and the construction waveform diagram recorded an abnormal vibration peak during the beam hoisting period; during the operation and maintenance stage, the bolt of this column component became loose abnormally, and the abnormal waveform showed a sudden increase in energy in the same frequency range. Combining the construction records, it can be determined that the hidden damage during the installation of adjacent components triggered a chain reaction under long-term load.

[0045] In another preferred embodiment of the present invention, the operation and maintenance decision instruction set specifically includes: (1) Targeted repair instructions for installation preloading defects When it is determined that the component abnormality is caused by installation preloading defects, a reinstallation instruction is generated and a customized stress release path optimization plan is attached. This plan directly calls the dynamic physical parameters recorded during the construction stage, including the stress change curve, deformation trajectory, and temporary support force data during the component installation process. For example, during the installation of a certain steel column, due to insufficient bolt pre-tightening force, long-term stress abnormality occurred. The strain gauge data during the construction stage completely recorded the fluctuation curve of the stress increase and subsequent rebound during the bolt tightening process. After receiving the instruction at the maintenance terminal, the construction personnel refer to the historical data to adjust the installation process: during reinstallation, apply the pre-tightening force in stages according to the optimization plan, first pre-tighten to a certain proportion of the design value and maintain a specific duration to release the initial deformation of the component, second pre-tighten to a higher proportion and monitor the stress distribution, and finally complete the tightening according to the design value. At the same time, calibrate the component verticality with reference to the three-dimensional laser scanning data during the construction stage to ensure that the stress release path conforms to the material mechanics characteristics and avoid repeated defects.

[0046] (2) Buffer device configuration instructions for environmental cumulative damage For environmental cumulative damage, an application is made to the resource scheduling system for installing a buffer device, and its design parameters are completely based on the environmental force waveforms recorded during the construction stage. First, extract the sequence of environmental parameters experienced by the abnormal component during the construction period from the space-time bound data unit, including temperature and humidity cycle curves, wind load time-series data, or vibration load spectra. Taking a bridge bearing as an example, if a vibration waveform caused by high-frequency vehicle loads is recorded during the construction stage, with its core frequency concentrated in a specific interval and the amplitude fluctuation range showing certain characteristics, the designed hydraulic buffer needs to have the characteristic of reverse vibration damping: after determining the core frequency through a signal processing algorithm, select hydraulic components with a damping coefficient and stiffness that match, so that the frequency response characteristic of the buffer forms a phase difference with the core frequency of the environmental force, achieving the mutual cancellation of vibration energy; calculate the stroke limit value of the buffer according to the amplitude fluctuation range and set the pressure adjustment rate to ensure that the buffer device can effectively attenuate the cumulative damage of the environmental load on the component during long-term service.

[0047] (III) Coordination Detection Instruction for Cross-Component Chain Reaction When a cross-component chain reaction is identified, assign the task of scanning the interference state of adjacent components to the detection equipment, and the scanning range is dynamically determined according to the space-time coordinates of the interference event during the construction stage. Retrieve the historical installation records in the BIM model to locate the adjacent components that have a mechanical connection or force conduction relationship with the abnormal component. For example, the abnormal vibration of a beam component on a certain floor is caused by the un-released welding stress during the construction of the adjacent column node, and the UWB positioning data during the construction stage records the accurate coordinates of the column component and the thermal deformation range during welding. Detection equipment such as 3D laser scanners and stress sensor arrays will expand from this coordinate to a reasonable spatial range to conduct multi-dimensional detection on all associated components: the laser scanner obtains the spatial position deviation of the current component, the stress sensor measures the distribution of node connection forces, and the infrared thermal imager detects the temperature abnormality in the welding area. The occurrence time and influence range of the interference event during the construction stage are clearly marked in the detection task instruction to guide the detection equipment to focus on scanning the component nodes with sudden changes in the stress state during this period, achieving precise investigation of hidden chain damage.

[0048] In a preferred case of this embodiment, the design parameters of the buffer device are as follows: Retrieve all the time-series records of environmental forces of the abnormal component from the installation completion to the occurrence of operation and maintenance abnormalities from the space-time bound data unit, including periodic loads, impact loads, or gradual loads. Identify the core frequency components in the waveform, that is, the frequency segments with an energy ratio exceeding a certain proportion, and the amplitude fluctuation range, that is, the difference between the historical maximum amplitude and the minimum amplitude, through a signal processing algorithm. For example, the environmental vibration data of a certain equipment foundation shows that a specific frequency component has a prominent proportion and the amplitude fluctuates within a certain range.

[0049] Select the buffer type according to the core frequency. For low-frequency large-amplitude loads, a spring-damper composite buffer is used, and for high-frequency small-amplitude loads, a hydraulic buffer is used. Taking the hydraulic buffer as an example, its frequency response characteristics need to form a resonance suppression relationship with the core frequency of the environmental force. By adjusting parameters such as the piston area and the diameter of the damping hole, an attenuation peak appears in the amplitude-frequency characteristic curve of the buffer at the core frequency; the amplitude fluctuation range directly determines the mechanical parameters of the buffer. The stroke limit value is set as a reasonable multiple of the historical maximum amplitude to reserve a safety margin, and the pressure adjustment rate is calculated according to the amplitude change gradient to ensure that the buffer is always in the effective working range under dynamic loads.

[0050] Before installation, the designed buffer device needs to be subjected to a bench test. Input the typical environmental force waveform recorded in the construction stage to test its vibration damping efficiency. If there is a deviation between the test result and the design expectation, automatically trace back to the spatio-temporal data unit to retrieve a historical waveform with higher accuracy, and iteratively optimize the buffer parameters until the vibration damping requirements are met.

[0051] Please refer to Figure 2 As shown, the present invention further includes an intelligent scheduling system for the whole life cycle resources of a construction project, which is used to implement the above-mentioned intelligent scheduling method for the whole life cycle resources of a construction project, including: A database for storing the dynamic physical parameters during the installation process of components collected by embedded sensors in the construction stage of the construction project. The dynamic physical parameters include the morphological change trajectory of the components, the stress change curve of the connectors, and the time series data of the environmental forces. A spatio-temporal correlation module for constructing a spatio-temporal indexing engine to associate the dynamic physical parameters with the corresponding component nodes of the BIM model, synchronously record the spatial coordinates and time nodes of the component nodes in the construction stage, and generate spatio-temporal binding data units. An operation and maintenance monitoring module for continuously receiving the component operation status data monitored by the Internet of Things terminals during the project operation and maintenance stage. When an abnormal state is identified, extract the current spatial coordinates of the abnormal component and activate the reverse traceability channel. A parameter traceback module for, through the reverse traceability channel, using the current spatial coordinates of the abnormal component as a retrieval anchor point, matching the spatio-temporal binding data units with the same spatial coordinates, and obtaining the dynamic physical parameter sequence of the abnormal component during the construction stage. An operation and maintenance decision-making module for comparing and mapping the dynamic physical parameter sequence during the construction stage with the abnormal state during the operation and maintenance stage, generating an operation and maintenance decision-making instruction set with construction defect location marks, and inputting it into the resource scheduling sequence.

[0052] The above has described in detail an embodiment of the present invention, but the above content is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made in accordance with the scope of the application of the present invention shall still fall within the scope covered by the patent of the present invention.

Claims

1. An intelligent scheduling method for resources throughout the whole life cycle of a construction project, characterized in that, It includes the following steps: During the construction stage of a building project, dynamic physical parameters during the component installation process are collected through embedded sensors. The dynamic physical parameters include the morphological change trajectory of the component, the stress change curve of the connection component, and the time-series data of environmental forces. A spatio-temporal indexing engine is constructed to associate the dynamic physical parameters with the corresponding component nodes in the BIM model, and synchronously record the spatial coordinates and time nodes of the component nodes during the construction stage to generate spatio-temporal bound data units. During the project operation and maintenance stage, continuously receive the component operation status data monitored by IoT terminals. When an abnormal state is identified, extract the current spatial coordinates of the abnormal component and activate the reverse traceability channel. Through the reverse traceability channel, using the current spatial coordinates of the abnormal component as the retrieval anchor point, match the spatio-temporal bound data units with the same spatial coordinates to obtain the dynamic physical parameter sequence of the abnormal component during the construction stage. Compare and map the dynamic physical parameter sequence during the construction stage with the abnormal state during the operation and maintenance stage to generate an operation and maintenance decision instruction set with construction defect location identifiers and input it into the resource scheduling sequence.

2. The intelligent scheduling method for the whole life cycle resources of a construction project according to claim 1, characterized in that The specific process of generating the spatio-temporal bound data units is as follows: Create an independent storage container for each component node in the BIM model. The storage container includes a spatial coordinate field, a time node field, and a dynamic parameter storage area. When performing the component installation operation, obtain the final spatial coordinates of the component in real time, synchronously activate the data collection function of the embedded sensor, obtain the moment when the component installation is completed, package the dynamic physical parameters collected within the continuous time window before and after this moment at the millisecond-level time granularity, and associate them with the storage container corresponding to the component. Attach an environmental correction coefficient to the spatial coordinates in the storage container. The environmental correction coefficient is dynamically calculated based on the correction amount corresponding to the air pressure gradient, the correction amount corresponding to the foundation settlement rate, and the correction amount corresponding to the temperature and humidity change curve during the construction stage, and is used to compensate for the spatial coordinate offset caused by building deformation.

3. An intelligent scheduling method for resources throughout the whole life cycle of a construction project according to claim 2, characterized in that, The specific process of associating the dynamic physical parameters with the storage container is as follows: Set the moment when the component installation is completed as the time origin, trace back to the initial moment when the installation equipment contacts the component, and extend backward to the termination moment when the adjacent component installation is completed. Intercept all the sensing data of the target component and the contacting component within this time period, decompose it into discrete data units in chronological order; each data unit is marked with the time offset relative to the time origin and is bound to the spatial coordinates of the component recorded by the positioning device to form a spatio-temporal bound data unit chain.

4. An intelligent scheduling method for resources throughout the whole life cycle of a construction project according to claim 1, characterized in that The specific way to activate the reverse traceability channel is as follows: Establish a real-time mirror model of the building information model during the operation and maintenance stage. When the IoT device detects abnormal vibration characteristics, sudden temperature distribution changes, or stress level overruns of the component, mark the component as an abnormal node, extract the three-dimensional spatial coordinates of the abnormal node, and find the historical component nodes within the spatial coordinate error range of the abnormal node in the mirror model. If the historical component nodes exist in the spatio-temporal bound data unit library during the construction stage, start the reverse traceability channel. If the mirror model shows that the current component is a replacement part during the operation and maintenance period, retrieve the construction identification code in the replacement part installation record, and jump to the spatio-temporal binding data unit library of the historical project associated with the construction identification code to perform traceability.

5. An intelligent resource scheduling method for the whole life cycle of a construction project according to claim 4, characterized in that, The process of performing traceability in the spatio-temporal binding data unit library of the historical project associated with the construction identification code is as follows: During the component replacement operation, read the identity code of the new component. According to the supplier identifier in the identity code, access the supply chain database to obtain the production batch code and the set of factory parameters of the component; match the production batch code with the construction enterprise project database to locate the historical project code where the batch of components was first installed, and load the corresponding spatio-temporal binding data unit library based on the historical project code to achieve cross-project jump of the reverse traceability channel.

6. The intelligent scheduling method for the whole life cycle resources of a construction project according to claim 1, characterized in that The specific process of the comparison and mapping is as follows: Expand the physical parameters in the abnormal state during the operation and maintenance stage into an operation and maintenance state waveform diagram according to the time dimension; extract the construction process waveform diagram of the same type of parameters from the dynamic physical parameter sequence during the construction stage; Perform double-track alignment on the two waveform diagrams. Taking the moment when the component installation is completed during the construction stage as the reference point, map the moment when the operation and maintenance anomaly occurs to the equivalent time axis after the reference point, and calculate the spectral coherence coefficient of the two waveform diagrams within the equivalent time interval; when the spectral coherence coefficient exceeds the set threshold, it is determined that there is an association between the operation and maintenance anomaly and the dynamic physical parameters during the construction stage.

7. An intelligent scheduling method for the whole life cycle resources of a construction project according to claim 6, characterized in that, Determining that there is an association between the operation and maintenance anomaly and the dynamic physical parameters during the construction stage specifically means: If there is a pulse peak in the construction process waveform diagram that coincides with the phase of the operation and maintenance anomaly waveform, and this pulse peak occurs during the deformation recovery process when the component is not fully fixed, it is marked as an installation preload defect; If the construction process waveform diagram shows that the environmental force continuously acts on the component connection area, and the operation and maintenance anomaly waveform presents the characteristics of harmonic superposition of the same frequency, it is marked as environmental cumulative damage; If the construction process waveform diagram records an adjacent component interference event after the installation is completed, and the operation and maintenance anomaly waveform shows a sudden increase in energy in the corresponding frequency band within the equivalent time interval, it is marked as a cross-component chain reaction.

8. An intelligent scheduling method for the whole life cycle resources of a construction project according to claim 7, characterized in that, The operation and maintenance decision instruction set specifically includes: For the components marked with installation preload defects, send a reinstallation instruction to the maintenance terminal, and attach the stress release path optimization plan recorded during the construction stage; For the components marked with environmental cumulative damage, apply to the resource scheduling system for installing a buffer device, and the design parameters of the buffer device are generated based on the environmental force waveform during the construction stage; For the components marked with cross-component chain reaction, assign the task of scanning the interference state of adjacent components to the detection device, and the scanning range is determined according to the spatio-temporal coordinates of the interference event during the construction stage.

9. The intelligent scheduling method for the whole life cycle resources of a construction project according to claim 8, characterized in that, The design parameters of the buffer device are: Extract the time sequence record of the environmental force during the construction stage of the abnormal component from the spatio-temporal binding data unit, identify the core frequency component and the amplitude fluctuation range of the environmental force waveform; design a hydraulic buffer with reverse vibration damping characteristics, the frequency response characteristics of the hydraulic buffer correspond to the core frequency component of the environmental force, and calculate the stroke limit value and the pressure adjustment rate of the hydraulic buffer according to the amplitude fluctuation range.

10. An intelligent resource scheduling system for the whole life cycle of a construction project, which is used to implement the intelligent resource scheduling method for the whole life cycle of a construction project according to any one of claims 1-9, characterized in that, Include: A database for storing the dynamic physical parameters of the component installation process collected by embedded sensors during the construction stage of a building project. The dynamic physical parameters include the trajectory of component shape changes, the stress change curve of connectors, and the time-series data of environmental forces. A spatio-temporal correlation module for constructing a spatio-temporal indexing engine to associate the dynamic physical parameters with the corresponding component nodes of the BIM model, synchronously recording the spatial coordinates and time nodes of the component nodes during the construction stage, and generating spatio-temporal binding data units. An operation and maintenance monitoring module for continuously receiving the component operation status data monitored by IoT terminals during the project operation and maintenance stage. When an abnormal state is identified, the current spatial coordinates of the abnormal component are extracted and the reverse tracing channel is activated. A parameter backtracking module for, through the reverse tracing channel, using the current spatial coordinates of the abnormal component as the retrieval anchor point to match the spatio-temporal binding data units with the same spatial coordinates, and obtaining the dynamic physical parameter sequence of the abnormal component during the construction stage. An operation and maintenance decision-making module for comparing and mapping the dynamic physical parameter sequence during the construction stage with the abnormal state during the operation and maintenance stage, generating an operation and maintenance decision instruction set with construction defect location identifiers, and inputting it into the resource scheduling sequence.

Images