Component whole-process tracing management system for fabricated building

Abstract

The present application relates to the technical field of fabricated building, and discloses a component whole-process tracing management system for fabricated building, which comprises a component production tracing module, a logistics transportation monitoring module, an on-site installation control module, a quality inspection tracing module, a data storage module and an operation and maintenance correlation module.The system receives component production order data, correlates raw material batches and process parameters, and outputs component production files; further traces transportation tracks and environmental parameters, generates component logistics records; subsequently calibrates installation points and monitors hoisting processes, and outputs component installation information; matches acceptance standards to collect measured data, generates component quality files; uses a distributed ledger to chain data for storage, and outputs traceable data sets; finally correlates operation and maintenance objects and predicts residual life, and outputs component whole-cycle tracing reports.The present application improves the credibility of component quality tracing and the effectiveness of whole-cycle management.

Description

Technical Field

[0001] This invention relates to the field of prefabricated building technology, specifically to a full-process traceability management system for prefabricated building components. Background Technology

[0002] Prefabricated buildings refer to buildings where a large amount of on-site work in traditional construction methods is transferred to factories. Building components and accessories are processed and manufactured in factories, transported to the construction site, and assembled on-site using reliable connection methods.

[0003] Currently, because the production of prefabricated building components involves multiple processes and materials, the raw material batch binding method used for component production data traceability only associates with a single material label. This makes it impossible to verify in real time whether there is a mismatch between different batches of raw materials and components. When there is a deviation in the input of raw material batch information, it will cause the production process data to be inconsistent with the actual materials used in the components, and the accuracy of production traceability cannot be guaranteed.

[0004] Therefore, a component traceability management system for prefabricated buildings is proposed to solve the above problems. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a full-process traceability management system for prefabricated buildings, which solves the problems mentioned in the background technology, such as the inability to verify in real time whether there is a mismatch between the correspondence between raw materials and components in different batches, and the inability to guarantee the accuracy of production traceability.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a full-process traceability management system for prefabricated buildings, comprising:

[0007] The component production traceability module receives component production order data, associates material information through the raw material batch binding unit, records production process data through the process parameter acquisition unit, and outputs component production files through the factory quality inspection unit.

[0008] The logistics and transportation monitoring module receives the component production file, obtains real-time location information through the transportation trajectory tracking unit, collects environmental parameters using the temperature and humidity sensing unit, and outputs the component logistics record through the arrival verification unit.

[0009] The on-site installation control module receives the component logistics records, calibrates the installation points through the positioning and layout unit, collects construction data through the hoisting process monitoring unit, and outputs component installation information through the node acceptance unit.

[0010] The quality inspection and traceability module receives the component installation information, retrieves the acceptance standards through the inspection item matching unit, collects quality data through the actual measurement unit, and outputs the component quality file through the defect rectification unit.

[0011] The data storage module receives the component quality file, uploads the data to the blockchain through the distributed ledger unit, solidifies the storage time sequence using the timestamp unit, and outputs a traceable dataset through the access control unit.

[0012] The operation and maintenance association module receives the traceable dataset, associates the operation and maintenance objects through the equipment information binding unit, collects maintenance data through the inspection record unit, and outputs a full-cycle traceability report of the components through the life prediction unit.

[0013] Preferably, the component production traceability module receives component production order data, associates material information through the raw material batch binding unit, records production process data using the process parameter acquisition unit, and outputs component production files through the factory quality inspection unit as follows:

[0014] Based on the unique component code, the specification parameters in the production order are parsed, and the batch labels of raw materials are read through radio frequency identification technology to establish a correspondence table between components and materials, including steel bars and concrete.

[0015] Data acquisition terminals are deployed at each workstation on the production line to record process parameters such as pouring time, curing temperature, and demolding strength in real time, and generate process data streams according to timestamps;

[0016] The appearance, dimensions, and structural performance of components are tested according to the factory inspection standards. The test results are integrated with the process data flow to generate a component production file that includes raw material information, production process data, and quality inspection conclusions.

[0017] Preferably, the process by which the logistics and transportation monitoring module receives the component production file, obtains real-time location information through the transportation trajectory tracking unit, collects environmental parameters using the temperature and humidity sensing unit, and outputs the component logistics record through the arrival verification unit is as follows:

[0018] The transportation route is planned according to the delivery address in the component production file, and the transportation trajectory data is collected in real time through the vehicle positioning terminal, with the location coordinates updated every 30 seconds.

[0019] Temperature and humidity sensors are deployed inside the transport vehicle to continuously collect temperature and humidity data of the environment in which the components are located. When the monitored value exceeds the preset threshold, an early warning signal is triggered.

[0020] After the components arrive at the construction site, the unique code of the components is read by the barcode scanning device, and the consistency between the transportation trajectory, environmental parameters and delivery list is verified to generate a component logistics record containing the transportation route, environmental data and verification results.

[0021] Preferably, the process by which the on-site installation control module receives the component logistics record, calibrates the installation point through the positioning and layout unit, collects construction data through the hoisting process monitoring unit, and outputs component installation information through the node acceptance unit is as follows:

[0022] Based on the specifications and parameters in the component logistics record, the installation drawings are retrieved, and the installation reference points of the components are determined by setting out with a total station. The difference between the measured coordinates and the design coordinates is controlled within the allowable error range.

[0023] Tilt sensors and stress sensors are installed on key parts of the hoisting equipment to collect data on angle changes, load magnitude and vibration frequency during the hoisting process in real time.

[0024] After the components are installed, the grouting fullness of the connection nodes is tested and the bolt tightening torque is verified. The positioning data, hoisting monitoring data and node acceptance results are integrated into the component installation information.

[0025] Preferably, the process by which the quality inspection and traceability module receives the component installation information, retrieves the acceptance standards through the inspection item matching unit, collects quality data using the actual measurement unit, and outputs the component quality file through the defect rectification unit is as follows:

[0026] Based on the component type in the component installation information, the system automatically matches the corresponding national acceptance specifications and local quality standards to generate an inspection plan that includes testing items, qualification indicators, and sampling ratios.

[0027] A 3D laser scanner was used to measure the installation deviation of the components, and data on flatness, verticality and elevation were collected. The location and size of surface defects were recorded by image recognition technology.

[0028] For components that fail inspection, a defect rectification notice is generated, and the rectification measures, re-inspection results, and responsible person information are tracked and recorded. The inspection data, defect records, and rectification status are summarized into a component quality file.

[0029] Preferably, the process by which the data storage module receives the component quality file, uploads the data to the blockchain through a distributed ledger unit, solidifies the storage timeline using a timestamp unit, and outputs a traceable dataset through an access control unit is as follows:

[0030] The component quality archive is split into structured data and unstructured data. The structured data is stored in a relational database, and the unstructured data is encrypted and stored in a distributed file storage system.

[0031] The blockchain smart contract is used to perform hash calculation on the evidence storage data, generate a unique digital fingerprint and write it into the consortium blockchain block, and attach an accurate time stamp to each evidence storage operation through a timestamp server.

[0032] Data access permissions are set based on a role-based access control model. The construction unit, the construction contractor, and the supervision unit are granted different levels of data query and export permissions, and the output is a traceable dataset containing on-chain evidence information and access logs.

[0033] Preferably, the process by which the operation and maintenance association module receives the traceable dataset, associates the operation and maintenance object through the equipment information binding unit, collects maintenance data using the inspection record unit, and outputs a full-lifecycle traceability report of the component through the life prediction unit is as follows:

[0034] Extract the unique component code, installation location and technical parameters from the traceable dataset, and link them with the equipment ledger in the building equipment management system to establish the correspondence between components and equipment.

[0035] During operation and maintenance inspections, mobile terminals are used to collect data on component appearance inspections, functional tests, and maintenance, and the inspection records are associated with and stored with component codes.

[0036] Based on the component material performance degradation model and historical operation and maintenance data, the remaining service life is calculated and the next maintenance time is predicted. The system integrates production, transportation, installation, quality and operation and maintenance data to generate a full life cycle traceability report for the component.

[0037] Preferably, the specific implementation method of recording production process data using the process parameter acquisition unit in the component production traceability module is as follows:

[0038] Data on rebar specifications, bending angles, and welding quality are collected during the rebar processing stage; data on mold dimensions, joint gaps, and positioning deviations are collected during the mold assembly stage; data on mix proportions, slump, and vibration time are collected during the concrete pouring stage; and data on curing temperature, humidity, and duration are collected during the curing stage. Data for each process are stored in association according to the production batch number.

[0039] Preferably, the specific implementation method of collecting environmental parameters using the temperature and humidity sensing unit in the logistics transportation monitoring module is as follows:

[0040] For precast concrete components, temperature monitoring threshold ranges and humidity monitoring threshold ranges are set. When the ambient temperature during transportation exceeds the threshold range, cooling and insulation control commands are automatically triggered. At the same time, periods of abnormal temperature and humidity are marked as key periods of attention and recorded in the component logistics record.

[0041] Preferably, the specific implementation method of data on-chaining through a distributed ledger unit in the data storage module is as follows:

[0042] A consortium blockchain network jointly constructed by the construction unit, supervision unit, and testing unit is built using the PBFT consensus mechanism. Each participating node stores a complete copy of the evidence data. When the data of any node is tampered with, the consensus algorithm automatically identifies the abnormal node and restores the correct data.

[0043] Compared with existing technologies, this invention provides a full-process traceability management system for prefabricated buildings, which has the following advantages:

[0044] 1. In this invention, when tracing the production data of components, the raw material batch binding unit of the component production traceability module is used to associate material information, and the process parameter acquisition unit is used to record the production process data. This enables real-time verification of the correspondence between different batches of raw materials and components, ensuring that the production process data matches the actual materials used in the components, avoiding the problems of incomplete and inaccurate production records, and further ensuring the reliability of component production traceability.

[0045] 2. In this invention, when managing the logistics and installation of components, the real-time location information is obtained through the transportation trajectory tracking unit of the logistics transportation monitoring module, combined with the environmental parameters collected by the temperature and humidity sensing unit, and the installation point is calibrated by the positioning and layout unit of the on-site installation management module. This enables real-time monitoring of the accuracy of the transportation path and installation position, reduces the risk of abnormal transportation environment and installation point deviation, and ensures the controllability of the component logistics and installation process.

[0046] 3. In this invention, when performing component quality traceability and data storage, the inspection item matching unit of the quality inspection traceability module retrieves the acceptance standards, combines the actual measurement unit to collect quality data, and uses the distributed ledger unit of the data storage module to upload the data to the blockchain. This ensures that the inspection plan matches the component type in real time, and the stored data is tamper-proof, reducing the possibility of missed detection of hidden defects and data tampering, and further improving the credibility of component quality traceability and the effectiveness of full-cycle management. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the architecture of the component full-process traceability management system for prefabricated buildings according to the present invention;

[0048] Figure 2 This is a schematic diagram showing the disassembled structure of the component production traceability module of the present invention;

[0049] Figure 3 This is a schematic diagram showing the disassembled structure of the quality inspection traceability module of the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] Please see Figures 1-3 The specific implementation of the full-process traceability management system for prefabricated building components is as follows:

[0052] The component production traceability module receives component production order data, associates material information through the raw material batch binding unit, records production process data through the process parameter acquisition unit, and outputs component production files through the factory quality inspection unit.

[0053] The logistics and transportation monitoring module receives component production files, obtains real-time location information through the transportation trajectory tracking unit, collects environmental parameters using the temperature and humidity sensing unit, and outputs component logistics records through the arrival verification unit.

[0054] The on-site installation and control module receives component logistics records, calibrates installation points through the positioning and layout unit, collects construction data through the hoisting process monitoring unit, and outputs component installation information through the node acceptance unit.

[0055] The quality inspection traceability module receives component installation information, retrieves acceptance standards through the inspection item matching unit, collects quality data through the actual measurement unit, and outputs component quality files through the defect rectification unit.

[0056] The data storage module receives component quality files, uploads the data to the blockchain through a distributed ledger unit, solidifies the storage time sequence using a timestamp unit, and outputs a traceable dataset through an access control unit.

[0057] The operation and maintenance association module receives traceable datasets, associates operation and maintenance objects through the equipment information binding unit, collects maintenance data through the inspection record unit, and outputs a full life cycle traceability report of components through the life prediction unit.

[0058] The component production traceability module receives component production order data, associates material information through the raw material batch binding unit, records production process data using the process parameter acquisition unit, and outputs component production files through the outgoing quality inspection unit. The process is as follows:

[0059] Based on the unique component code, the specification parameters in the production order are parsed, and the batch labels of raw materials are read through radio frequency identification technology to establish a correspondence table between components and materials, including steel bars and concrete.

[0060] Using the association matrix The binding relationship between quantitative components and materials is defined as follows:

[0061] ;

[0062] in, This represents the total number of components in the current production batch. For the number of material types, Binary correlation coefficient;

[0063] Data acquisition terminals are deployed at each workstation on the production line to record process parameters such as pouring time, curing temperature, and demolding strength in real time, and generate process data streams according to timestamps;

[0064] The appearance, dimensions, and structural performance of components are tested according to the factory inspection standards. The test results are integrated with the process data flow to generate a component production file that includes raw material information, production process data, and quality inspection conclusions.

[0065] The process by which the logistics and transportation monitoring module receives component production files, obtains real-time location information through the transportation trajectory tracking unit, collects environmental parameters using the temperature and humidity sensing unit, and outputs component logistics records through the arrival verification unit is as follows:

[0066] The transportation route is planned according to the delivery address in the component production file, and the transportation trajectory data is collected in real time through the vehicle positioning terminal, with the location coordinates updated every 30 seconds.

[0067] The Kalman filter algorithm is used to smooth the original trajectory data, and the formula for calculating the predicted position coordinates is as follows:

[0068] ;

[0069] in, for The smoothed position coordinates at any given time, including longitude, latitude, and speed. This is the state transition matrix, describing the rate of change of position over time. To control the input matrix, corresponding to the vehicle's speed, To control the quantity, Kalman gain is used to balance the weights of predicted and observed values. These are the actual location observations collected by the vehicle-mounted positioning terminal. The observation matrix maps the state space to the observation space.

[0070] Temperature and humidity sensors are deployed inside the transport vehicle to continuously collect temperature and humidity data of the environment in which the components are located. When the monitored value exceeds the preset threshold, an early warning signal is triggered.

[0071] After the components arrive at the construction site, the unique code of the components is read by the barcode scanning device, and the consistency between the transportation trajectory, environmental parameters and delivery list is verified to generate a component logistics record containing the transportation route, environmental data and verification results.

[0072] The process by which the on-site installation control module receives component logistics records, calibrates installation points through the positioning and layout unit, collects construction data using the hoisting process monitoring unit, and outputs component installation information through the node acceptance unit is as follows:

[0073] Based on the specifications and parameters in the component logistics record, the installation drawings are retrieved, and the installation reference points of the components are determined by setting out with a total station. The difference between the measured coordinates and the design coordinates is controlled within the allowable error range.

[0074] The installation deviation is calculated using a rigid body transformation model, and the formula is as follows:

[0075] ;

[0076] in, To determine the coordinates of the reference points of the components in the design coordinate system, Let be the rotation matrix, describing the orientation deviation of the component during installation. The translation vector describes the positional offset of the component. To measure noise, the accuracy of the total station is determined, and the least squares method is used to solve for it. and If the deviation exceeds the allowable error, adjust the position of the hoisting equipment until the requirements are met;

[0077] The rotation matrix is ​​solved using the least squares method. Translation vector The error function is The covariance matrix is ​​analyzed through singular value decomposition. Decomposition C is the covariance matrix. , These are two orthogonal matrices obtained after performing singular value decomposition on the covariance matrix C. For matrix The transpose of the matrix;

[0078] Tilt sensors and stress sensors are installed on key parts of the hoisting equipment to collect data on angle changes, load magnitude and vibration frequency during the hoisting process in real time.

[0079] After the components are installed, the grouting fullness of the connection nodes is tested and the bolt tightening torque is verified. The positioning data, hoisting monitoring data and node acceptance results are integrated into the component installation information.

[0080] The process by which the quality inspection and traceability module receives component installation information, retrieves acceptance standards through the inspection item matching unit, collects quality data using the actual measurement unit, and outputs component quality files through the defect rectification unit is as follows:

[0081] Based on the component type in the component installation information, the system automatically matches the corresponding national acceptance specifications and local quality standards to generate an inspection plan that includes testing items, qualification indicators, and sampling ratios.

[0082] A 3D laser scanner was used to measure the installation deviation of the components, and data on flatness, verticality and elevation were collected. The location and size of surface defects were recorded by image recognition technology.

[0083] The formula for calculating the flatness deviation is:

[0084] ;

[0085] in, This refers to the surface flatness deviation of the component. The number of point clouds acquired by 3D laser scanning. For the first The measured elevation of each point The design average elevation of the area, and the surface defect area. Calculated by integration: , This represents the area within the outline of the defect region. These are tiny area elements, that is, countless extremely small area elements divided within the defect contour. and Compare with the acceptance standards to determine whether it is qualified;

[0086] For components that fail inspection, a defect rectification notice is generated, and the rectification measures, re-inspection results, and responsible person information are tracked and recorded. The inspection data, defect records, and rectification status are summarized into a component quality file.

[0087] The data storage module receives component quality files, uploads the data to the blockchain using a distributed ledger unit, solidifies the storage timeline using a timestamp unit, and outputs a traceable dataset through the access control unit.

[0088] The component quality archive is split into structured data and unstructured data. The structured data is stored in a relational database, and the unstructured data is encrypted and stored in a distributed file storage system.

[0089] The blockchain smart contract is used to perform hash calculation on the evidence storage data, generate a unique digital fingerprint and write it into the consortium blockchain block, and attach an accurate time stamp to each evidence storage operation through a timestamp server.

[0090] The hash function is:

[0091] ;

[0092] in, Digital fingerprints for evidence data, Structured data for component quality archives. The accurate time generated for the timestamp unit. The calculated random number. It has a length of 256 bits and is written into the header of the consortium blockchain block;

[0093] Data access permissions are set based on a role-based access control model. The construction unit, the construction contractor, and the supervision unit are granted different levels of data query and export permissions, and the output is a traceable dataset containing on-chain evidence information and access logs.

[0094] The process by which the operation and maintenance association module receives traceable datasets, associates operation and maintenance objects through the equipment information binding unit, collects maintenance data using the inspection record unit, and outputs a full-lifecycle traceability report for components through the life prediction unit is as follows:

[0095] Extract the unique component code, installation location and technical parameters from the traceable dataset, and link them with the equipment ledger in the building equipment management system to establish the correspondence between components and equipment.

[0096] During operation and maintenance inspections, mobile terminals are used to collect data on component appearance inspections, functional tests, and maintenance, and the inspection records are associated with and stored with component codes.

[0097] Based on the component material performance degradation model and historical operation and maintenance data, the remaining service life is calculated and the next maintenance time is predicted. The exponential degradation model is used to predict the remaining service life, and the formula is as follows:

[0098] ;

[0099] in, for The remaining life of the component at any given time. For the initial design life of the component, The attenuation coefficient is obtained by fitting historical operation and maintenance data. Substitute the value of the current time. The remaining service life is calculated, and the next maintenance time is predicted. , To maintain the interval;

[0100] Specifically, this involves extracting the crack width growth rate from the inspection records of the past 5 years and applying the least squares method to... Perform linear fitting. The physical meaning is the carbonation rate of concrete;

[0101] Integrate production, transportation, installation, quality, and operation and maintenance data to generate a full lifecycle traceability report for components.

[0102] The specific implementation method of recording production process data using the process parameter acquisition unit in the component production traceability module is as follows:

[0103] Data on rebar specifications, bending angles, and welding quality are collected during the rebar processing stage; data on mold dimensions, joint gaps, and positioning deviations are collected during the mold assembly stage; data on mix proportions, slump, and vibration time are collected during the concrete pouring stage; and data on curing temperature, humidity, and duration are collected during the curing stage. Data for each process are stored in association according to the production batch number.

[0104] The specific implementation method of collecting environmental parameters using temperature and humidity sensors in the logistics transportation monitoring module is as follows:

[0105] For precast concrete components, temperature monitoring threshold ranges and humidity monitoring threshold ranges are set. When the ambient temperature during transportation exceeds the threshold range, cooling and insulation control commands are automatically triggered. At the same time, periods of abnormal temperature and humidity are marked as key periods of attention and recorded in the component logistics record.

[0106] The specific implementation method of data on-chaining through distributed ledger units in the data storage module is as follows:

[0107] A consortium blockchain network jointly constructed by the construction unit, supervision unit, and testing unit is built using the PBFT consensus mechanism. Each participating node stores a complete copy of the evidence data. When the data of any node is tampered with, the consensus algorithm automatically identifies the abnormal node and restores the correct data.

[0108] The operation steps of the component traceability management system for prefabricated buildings are as follows:

[0109] Step 1: Component Production Traceability Stage

[0110] After the system starts, the component production traceability module first receives component production order data, parses the specification parameters in the order based on the unique component code, reads the raw material batch label through radio frequency identification technology, establishes a correspondence table between components and materials using the raw material batch binding unit, and uses an association matrix to quantify the binding relationship to ensure the accuracy of material traceability. Subsequently, the process parameter acquisition unit deploys data acquisition terminals at each workstation of the production line to record process parameters such as pouring time, curing temperature, and demolding strength in real time, and generates process data streams according to timestamps. Finally, the factory quality inspection unit inspects the appearance, dimensions, and structural performance of the components according to the factory inspection standards, integrates the inspection results with the process data stream, and generates a component production file containing raw material information, production process data, and quality inspection conclusions.

[0111] Step Two: Logistics and Transportation Monitoring Phase

[0112] After receiving the component production file, the logistics and transportation monitoring module plans the transportation route according to the delivery address in the file. The transportation trajectory tracking unit collects transportation trajectory data in real time through the vehicle positioning terminal and uses the Kalman filter algorithm to smooth the original trajectory and predict the real-time position coordinates of the component. At the same time, the temperature and humidity sensing unit continuously collects environmental parameters in the transportation carrier. When the monitored value exceeds the preset threshold, an early warning signal is triggered. After the component arrives at the construction site, the arrival verification unit reads the unique code of the component through the barcode scanning device, verifies the consistency between the transportation trajectory, environmental parameters and delivery list, and generates a component logistics record containing the transportation route, environmental data and verification results.

[0113] Step 3: On-site installation and control phase:

[0114] After receiving the component logistics records, the on-site installation control module retrieves the installation drawings based on the specifications and parameters in the records. The positioning and layout unit determines the component installation benchmark points by using a total station, calculates the deviation between the measured coordinates and the design coordinates using a rigid body transformation model, and controls the difference within the allowable error range. The hoisting process monitoring unit installs tilt sensors and stress sensors on key parts of the hoisting equipment to collect data on angle changes, load magnitude, and vibration frequency during the hoisting process in real time. After the component installation is completed, the node acceptance unit checks the grouting fullness of the connection nodes and verifies the bolt tightening torque, integrating the positioning data, hoisting monitoring data, and node acceptance results into component installation information.

[0115] Step 4: Quality Inspection and Traceability Stage

[0116] After receiving the component installation information, the quality inspection traceability module automatically matches the corresponding national acceptance specifications and local quality standards according to the component type, generating an inspection plan that includes inspection items, qualification indicators, and sampling ratios. The actual measurement unit uses a 3D laser scanner to measure the component installation deviations, calculates the surface flatness using the flatness deviation formula, and determines the surface defect area through integral calculation. The measured data is compared with the acceptance standards to determine whether it is qualified. For components that fail the inspection, the defect rectification unit generates a defect rectification notice, tracks and records the rectification measures, re-inspection results, and responsible person information, and finally summarizes them into a component quality file.

[0117] Step 5: Data Preservation Stage

[0118] After receiving the component quality archive, the data storage module first splits the archive into structured data and unstructured data, storing them in a relational database and a distributed file storage system, respectively. Then, the distributed ledger unit uses a blockchain smart contract to perform hash calculations on the stored data, generating a unique digital fingerprint using a hash function and writing it into the consortium blockchain block. The timestamp unit adds an accurate timestamp to each storage operation. Finally, the access control unit sets data access permissions based on a role-based access control model, granting different levels of query and export permissions to the construction unit, the construction contractor, and the supervision unit, respectively, and outputting a traceable dataset containing on-chain storage information and access logs.

[0119] Step Six: Operation and Maintenance Related Phase

[0120] After receiving the traceable dataset, the operation and maintenance association module extracts the unique component code, installation location, and technical parameters from the dataset and associates them with the equipment ledger in the building equipment management system to establish the correspondence between components and equipment. During operation and maintenance inspections, the inspection record unit collects component appearance inspection, functional testing, and maintenance data through mobile terminals and stores the inspection records in association with the component code. The life prediction unit calculates the remaining lifespan and predicts the next maintenance time based on the component material performance degradation model and historical operation and maintenance data using an exponential decay model. Finally, it integrates production, transportation, installation, quality, and operation and maintenance data to output a full-lifecycle traceability report for the component.

[0121] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A component traceability management system for prefabricated buildings, characterized in that, include: The component production traceability module receives component production order data, associates material information through the raw material batch binding unit, records production process data through the process parameter acquisition unit, and outputs component production files through the factory quality inspection unit. The logistics and transportation monitoring module receives the component production file, obtains real-time location information through the transportation trajectory tracking unit, collects environmental parameters using the temperature and humidity sensing unit, and outputs the component logistics record through the arrival verification unit. The on-site installation control module receives the component logistics records, calibrates the installation points through the positioning and layout unit, collects construction data through the hoisting process monitoring unit, and outputs component installation information through the node acceptance unit. The quality inspection and traceability module receives the component installation information, retrieves the acceptance standards through the inspection item matching unit, collects quality data through the actual measurement unit, and outputs the component quality file through the defect rectification unit. The data storage module receives the component quality file, uploads the data to the blockchain through the distributed ledger unit, solidifies the storage time sequence using the timestamp unit, and outputs a traceable dataset through the access control unit. The operation and maintenance association module receives the traceable dataset, associates the operation and maintenance objects through the equipment information binding unit, collects maintenance data through the inspection record unit, and outputs a full-cycle traceability report of the components through the life prediction unit.

2. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The component production traceability module receives component production order data, associates material information through the raw material batch binding unit, records production process data using the process parameter acquisition unit, and outputs component production files through the factory quality inspection unit. Based on the unique component code, the specification parameters in the production order are parsed, and the batch labels of raw materials are read through radio frequency identification technology to establish a correspondence table between components and materials, including steel bars and concrete. Data acquisition terminals are deployed at each workstation on the production line to record process parameters such as pouring time, curing temperature, and demolding strength in real time, and generate process data streams according to timestamps; The appearance, dimensions, and structural performance of components are tested according to the factory inspection standards. The test results are integrated with the process data flow to generate a component production file that includes raw material information, production process data, and quality inspection conclusions.

3. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The logistics and transportation monitoring module receives the component production file, obtains real-time location information through the transportation trajectory tracking unit, collects environmental parameters using the temperature and humidity sensing unit, and outputs the component logistics record through the arrival verification unit. The process is as follows: The transportation route is planned according to the delivery address in the component production file, and the transportation trajectory data is collected in real time through the vehicle positioning terminal, with the location coordinates updated every 30 seconds. Temperature and humidity sensors are deployed inside the transport vehicle to continuously collect temperature and humidity data of the environment in which the components are located. When the monitored value exceeds the preset threshold, an early warning signal is triggered. After the components arrive at the construction site, the unique code of the components is read by the barcode scanning device, and the consistency between the transportation trajectory, environmental parameters and delivery list is verified to generate a component logistics record containing the transportation route, environmental data and verification results.

4. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The process by which the on-site installation control module receives the component logistics record, calibrates the installation point through the positioning and layout unit, collects construction data through the hoisting process monitoring unit, and outputs component installation information through the node acceptance unit is as follows: Based on the specifications and parameters in the component logistics record, the installation drawings are retrieved, and the installation reference points of the components are determined by setting out with a total station. The difference between the measured coordinates and the design coordinates is controlled within the allowable error range. Tilt sensors and stress sensors are installed on key parts of the hoisting equipment to collect data on angle changes, load magnitude and vibration frequency during the hoisting process in real time. After the components are installed, the grouting fullness of the connection nodes is tested and the bolt tightening torque is verified. The positioning data, hoisting monitoring data and node acceptance results are integrated into the component installation information.

5. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The process by which the quality inspection traceability module receives the component installation information, retrieves the acceptance standards through the inspection item matching unit, collects quality data using the actual measurement unit, and outputs the component quality file through the defect rectification unit is as follows: Based on the component type in the component installation information, the system automatically matches the corresponding national acceptance specifications and local quality standards to generate an inspection plan that includes testing items, qualification indicators, and sampling ratios. A 3D laser scanner was used to measure the installation deviation of the components, and data on flatness, verticality and elevation were collected. The location and size of surface defects were recorded by image recognition technology. For components that fail inspection, a defect rectification notice is generated, and the rectification measures, re-inspection results, and responsible person information are tracked and recorded. The inspection data, defect records, and rectification status are summarized into a component quality file.

6. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The data storage module receives the component quality file, uploads the data to the blockchain through a distributed ledger unit, solidifies the storage timeline using a timestamp unit, and outputs a traceable dataset through an access control unit. The component quality archive is split into structured data and unstructured data. The structured data is stored in a relational database, and the unstructured data is encrypted and stored in a distributed file storage system. The blockchain smart contract is used to perform hash calculation on the evidence storage data, generate a unique digital fingerprint and write it into the consortium blockchain block, and attach an accurate time stamp to each evidence storage operation through a timestamp server. Data access permissions are set based on a role-based access control model. The construction unit, the construction contractor, and the supervision unit are granted different levels of data query and export permissions, and the output is a traceable dataset containing on-chain evidence information and access logs.

7. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The process by which the operation and maintenance association module receives the traceable dataset, associates the operation and maintenance object through the equipment information binding unit, collects maintenance data using the inspection record unit, and outputs a full-lifecycle traceability report of the component through the life prediction unit is as follows: Extract the unique component code, installation location and technical parameters from the traceable dataset, and link them with the equipment ledger in the building equipment management system to establish the correspondence between components and equipment. During operation and maintenance inspections, mobile terminals are used to collect data on component appearance inspections, functional tests, and maintenance, and the inspection records are associated with and stored with component codes. Based on the component material performance degradation model and historical operation and maintenance data, the remaining service life is calculated and the next maintenance time is predicted. The system integrates production, transportation, installation, quality and operation and maintenance data to generate a full life cycle traceability report for the component.

8. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The specific implementation method of recording production process data using the process parameter acquisition unit in the component production traceability module is as follows: Data on rebar specifications, bending angles, and welding quality are collected during the rebar processing stage; data on mold dimensions, joint gaps, and positioning deviations are collected during the mold assembly stage; data on mix proportions, slump, and vibration time are collected during the concrete pouring stage; and data on curing temperature, humidity, and duration are collected during the curing stage. Data for each process are stored in association according to the production batch number.

9. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The specific implementation method of collecting environmental parameters using the temperature and humidity sensing unit in the logistics transportation monitoring module is as follows: For precast concrete components, temperature monitoring threshold ranges and humidity monitoring threshold ranges are set. When the ambient temperature during transportation exceeds the threshold range, cooling and insulation control commands are automatically triggered. At the same time, periods of abnormal temperature and humidity are marked as key periods of attention and recorded in the component logistics record.

10. The component traceability management system for prefabricated buildings according to claim 1, characterized in that, The specific implementation method of data on-chaining through the distributed ledger unit in the data storage module is as follows: A consortium blockchain network jointly constructed by the construction unit, supervision unit, and testing unit is built using the PBFT consensus mechanism. Each participating node stores a complete copy of the evidence data. When the data of any node is tampered with, the consensus algorithm automatically identifies the abnormal node and restores the correct data.

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