752 results about "Information model" patented technology

The invention relates to the technical field of unmanned aerial vehicle application and urban airspace management, in particular to an intelligent site selection method and system for unmanned aerial vehicle take-off and landing points in an urban building group, and the intelligent site selection system for the unmanned aerial vehicle take-off and landing points in the urban building group specifically comprises the following steps: S1, carrying out the multi-source heterogeneous data fusion and high-precision three-dimensional environment modeling; s2, fluid dynamics simulation and airflow field pre-calculation are calculated; s3, real-time meteorological monitoring and dynamic risk correction; s4, establishing a quantitative safety evaluation model and multi-objective optimization site selection; and S5, visual decision support and feedback learning. According to the scheme, by deeply fusing multi-source heterogeneous geographic information data and constructing a high-precision three-dimensional digital twinborn city environment, accurate simulation and risk assessment of an airflow field around a building group are realized, geometric, material and semantic information is automatically extracted by using oblique photography, laser point cloud and a building information model, and the construction efficiency is improved. A unified three-dimensional grid with physical attributes is formed, and a reliable basis is provided for subsequent fluid calculation.

The invention relates to a smart city ESG multi-source data visualization analysis method, device and equipment and a medium, and the method comprises the steps: carrying out the standardized semantic annotation and space-time alignment of city multi-source heterogeneous data, and generating a semantic triple set with a space-time label; the real-time intensity of the causal relationship in the ESG dynamic knowledge graph is constructed and quantified; semantic binding is carried out on the map and the city information model, and a visual descriptor is generated; discovering and rendering a causal relationship chain in the three-dimensional scene based on user interaction; and deducing simulation intervention and optimizing model parameters. According to the method, dynamic and integrated presentation and interactive deduction of complex causal relationships of environment, society and governance in a multi-dimensional space-time scene are realized, and the problems of surface analysis, disjunction of data and space and insufficient decision support in the prior art are effectively solved.

The invention discloses a construction emergency early warning method and system, and the method comprises the following steps: collecting the three-dimensional coordinates of a constructor, combining a sliding time window with a wavelet packet energy entropy and other indexes, and generating a multi-scale movement disorder index through principal component analysis and fusion; continuously unstable persons are recognized according to the disorder index, after the trajectory of the persons is segmented, a weighted graph is constructed in combination with hidden Markov and building information model environment parameters, and the cognitive mismatch degree is calculated; mapping the cognitive mismatch degree to a space grid, calculating a local Moran index, fusing a density gradient and a mechanical operation sequence resonance result, and constructing a propagation weight matrix; constructing a heterogeneous graph based on weight matrix guidance, calculating risk influence propagation potential energy, combining historical disorder sequence analysis and relative entropy, and coupling to obtain a group-level instability pre-judgment value; and outputting a comprehensive critical level for the pre-judgment value over-limit individuals through motion trend prediction, spatial intersection and shortest path algorithms. The safety during building construction operation is improved.

The invention belongs to the technical field of computers, particularly relates to a digital twin power plant infrastructure multi-source heterogeneous data real-time fusion method, and aims to solve the problems of high data fusion delay, semantic segmentation and poor system adaptability in the prior art. The method comprises the following steps: constructing a unified space-time reference frame to realize nanosecond-level time synchronization and space coordinate normalization; the method comprises the following steps: accessing and preprocessing multi-source data such as a building information model, an Internet of Things sensor, a construction log and a video stream, and generating a standardization unit with space-time metadata; performing semantic analysis and cross-modal feature alignment based on the power plant infrastructure ontology knowledge base; and millisecond-level dynamic fusion is realized by adopting an event-triggered streaming engine. According to the scheme, real-time fusion within 100 milliseconds is realized, the semantic alignment precision is 98% or above, the state confidence is 90% or above, the system throughput is improved by three times by relying on a cloud edge collaborative architecture, and precise twin mapping and intelligent decision making of the whole process of power plant infrastructure construction are comprehensively supported.

The invention discloses a sewage treatment whole-process operation regulation and control calculation system based on deep learning, and relates to the technical field of intelligent control, and the system comprises a strategy optimization module which optimizes a future pollution trend prediction sequence and a regulation and control factor weight table by using a reinforcement learning strategy network in combination with a genetic algorithm optimizer, dynamically generating an aeration, dosing and backflow operation parameter combination aiming at a regulation target to form a dynamic regulation instruction set; the instruction execution module is used for issuing a dynamic regulation and control instruction set to the programmable logic controller by utilizing an industrial control interface, and collecting response information and real-time effluent quality data as execution feedback information; and the model updating module carries out error comparison on execution feedback information and a future pollution trend prediction sequence, constructs a weighted error sequence, and dynamically corrects deep network parameters through an online fine tuning strategy to form a prediction control model. According to the method, the generalization ability and robustness of the predictive control model are remarkably improved.

The invention discloses a supervision method and device based on construction project quality detection and a medium, and relates to the technical field of project quality supervision, and the method comprises the steps: collecting construction site data, carrying out the preprocessing, and generating a site data set; performing real-time comparison and verification on the building information model and the field data set to obtain verification data, inputting the verification data into the building information model, performing construction consistency analysis and deviation identification, and generating a quality evaluation report; performing risk assessment and priority classification on the quality analysis data to obtain risk assessment data, and performing problem priority analysis and rectification scheme formulation on the risk assessment data to generate rectification execution data; and performing rectification effect analysis and overall quality evaluation according to the rectification execution data, and generating a project quality summary report. The real-time performance and the accuracy of construction quality monitoring are improved, the construction deviation is reduced to the maximum extent, the quality management is optimized, and the smooth proceeding of a project is guaranteed.

The invention discloses a method and system for constructing a city information model, and belongs to the field of city intelligent management, and the method comprises the steps: carrying out the spatial registration and semantic alignment of future multi-source heterogeneous data through a unified coordinate reference, and constructing a multi-dimensional incidence relation between a spatial entity and the attribute of the spatial entity through a graph database; performing time serialization processing on the city information model based on the real-time sensing data, and performing real-time correction on the geometric state and the attribute of the model by adopting an incremental modeling algorithm; performing automatic calibration on the model data in combination with rule reasoning and probability correction methods; predictive calculation is carried out on multiple scenes, and parameterized optimization is carried out on the city information model according to a calculation result; and carrying out adaptive hierarchical abstraction on the city information model, and automatically generating model subsets with different precision levels. According to the method, spatial registration and semantic integration are performed on the data, so that the global consistency of the city information model is realized, and the problems of data inconsistency, repetition and redundancy in a traditional method are solved.

The invention belongs to the technical field of engineering data processing, and particularly relates to a digital twinning-based engineering completion delivery data information extraction method, which comprises the following steps of: acquiring completion site entity data, constructing a digital twinning body of building information model and live-action three-dimensional fusion, and fusing semantic tag information based on an improved ICP (Inductively Coupled Plasma) algorithm. Performing space coordinate alignment and attribute association on the digital twinborn body to generate a completion information dynamic twinborn mapping map; a multi-level rule inference engine is used for extracting information items conforming to delivery standards, a dynamic risk propagation model is used for simulating the influence of data deviation on a delivery result through multi-node consensus verification data of a construction party, a construction party and a supervisor, and information extraction weight parameters are corrected in real time; and dynamically generating a delivery data packet and a visual auditing report and synchronously updating the digital twin archive library in combination with engineering change records and acceptance specifications. Therefore, the problems of incapability of capturing engineering parameter fluctuation, poor transmission efficiency and the like in the prior art are solved.

The invention discloses a distribution line icing disposal environment modeling and application method, and relates to the technical field of disaster prevention and reduction and intelligent decision cross of a power system, and the method comprises the steps: obtaining the original data of a multi-source sensor, generating a standardized feature vector, constructing an environment model of a reinforcement learning agent, and designing an action space and a reward function. Integrating a physical model, and constructing a multi-dimensional feature, a line physical model, a meteorological model, a line and equipment state model and a historical and auxiliary information model so as to obtain a lead icing environment model; designing an icing increment formula fusing collision coefficients, and designing a comprehensive network model; carrying out reinforcement learning training on the integrated network model in a simulation environment; integrating the trained comprehensive network model to a power system monitoring platform, and carrying out real-time monitoring and automatic disposal; the method can effectively improve the icing handling capacity of the distribution line, reduces the load current fluctuation, and guarantees the safety and stability of the line.

The invention provides a building main body construction quality tracing method and system, and relates to the technical field of building construction management, and the method comprises the steps: dividing region blocks based on a pixel matrix of a construction site image, carrying out the matching of each region block with a preset control node coordinate in a building information model, recognizing and positioning a target node, generating node image data; based on a target node associated with the node image data, collecting construction environment parameters and physical state parameters of the target node, and generating a multi-dimensional parameter set based on the timestamp index; performing parameter fitting calculation on the multi-dimensional parameter set to generate a parameterized label sequence for representing the construction progress and the quality state; encrypting the parameterized tag sequence and storing the parameterized tag sequence into a distributed account book to form encrypted evidence storage data; and based on the encrypted evidence storage data, quality responsibility tracing and construction record verification are carried out, and a quality tracing verification result is generated. And comprehensive and accurate real-time monitoring on the construction progress and the quality state can be realized.

The invention discloses a building fire-fighting automatic verification and evacuation path verification system based on a rule engine, and relates to the technical field of building fire-fighting intellectualization. Comprising the steps that a rule generation module analyzes a fire-fighting standard text and generates an executable rule set; the model analysis module is used for extracting component attributes and a spatial topological relation from the building information model; the real-time sensing module collects environment state data. The rule engine module matches the component attributes with the executable rule set to generate a first verification result; spatial topology and real-time sensing data are fused, the dynamic passing weight of each path segment is calculated, and an evacuation path network model is constructed. The path verification module verifies the safety of a path from a preset point to an exit based on the model, and generates a path verification result. And the result generation module outputs fire-fighting compliance data. According to the invention, through the dynamic optimal evacuation path planning from the static fire-fighting standard examination of the building design to the occurrence of the disaster, the guarantee capability and the emergency response efficiency of the building fire-fighting safety are improved.

The invention provides a building information model compliance processing method and device based on artificial intelligence, electronic equipment and a storage medium, and the method comprises the steps: analyzing a standard document through a natural language processing model, and constructing a structured compliance knowledge graph containing a forced parameter, a naming rule, a geometric constraint and a data mapping relation; when the components are loaded, geometric feature vectors of the components are extracted, a hierarchical topological graph is modeled and nested, and a digital twin file containing geometric attributes, a parameter list and risk scores is generated; and matching and comparing the archive with the knowledge graph, dynamically generating a processing strategy sequence, and scheduling a geometric optimization and data encapsulation module to execute adaptive processing. Geometric optimization adopts a deep learning driven non-uniform grid simplification algorithm, key region details are reserved, and topological defects are repaired; and the data packaging realizes intelligent matching and binding from the custom parameters to the standard attribute set through semantic mapping. Through the method and the device, the efficiency, the accuracy and the automation level of cross-platform compliance conversion of the building information model can be remarkably improved.

The invention provides a method and a device for installing, positioning and monitoring a laminated slab in a beam. Relates to the technical field of building construction. According to the specific implementation scheme, the method comprises the steps that reverse modeling is conducted on a prefabricated laminated slab component through laser scanners placed at multiple target positions, and a point cloud model is generated; inputting preset data of the prefabricated laminated slab component into the building information model to generate a target preset model; and the point cloud model is matched with a target preset model, and when it is detected that the matching degree of the point cloud model and the target preset model is smaller than a first preset threshold value, multiple installation point positions for beam-entering installation of the prefabricated laminated slab component and normal state parameters of the multiple installation point positions are determined based on the point cloud model and the target preset model. According to the technical scheme, the accuracy and construction efficiency of installation and positioning of the laminated slab into the beam can be improved, structural hidden dangers caused by installation dislocation are avoided, it is guaranteed that the laminated slab and the beam form a reliable overall stress system, and the stability and safety of a building structure are enhanced.

The invention discloses a digitized collaborative management and control platform and method for a highway roadbed slope, and belongs to the field of highway engineering. The method comprises the steps that a three-dimensional geological information model of the highway roadbed slope is constructed; sensing and fusing multi-source heterogeneous data; intelligent analysis and early warning are realized; co-processing and closed-loop management; optimization and self-learning of a machine learning algorithm model; and visualizing the slope of the whole highway. According to the invention, through the AI algorithm, the conversion from manual interpretation to intelligent prediction is realized, the early warning time is advanced, and passive response is changed into active prevention and control. According to the invention, information sharing and business collaboration are realized through process driving, and the emergency disposal efficiency is greatly improved. Visual and scientific decision support is provided for slope state evaluation and treatment scheme making based on the digital twinborn model and the multi-source fusion data, and dependence on human experience is reduced. According to the invention, a complete slope electronic health record is established, a data basis is provided for long-term performance evaluation and maintenance planning of the slope, and full-life-cycle management of assets is realized.

The invention discloses an FTU-based power distribution network fault positioning method and system, and belongs to the technical field of power distribution automation, and the method comprises the steps: constructing a space-time correlation feature matrix according to a transient current sequence and a voltage drop sequence during a fault period, and extracting the convolution features of a graph to obtain a fault feature graph containing the fault correlation degree between nodes; according to a static topological structure in the power distribution information model, virtual impedance is calculated based on the fault feature graph, and network equivalent topology is dynamically identified to obtain a dynamic virtual topological structure graph; and based on the dynamic virtual topological structure diagram structure and the fault feature diagram, performing fault section confidence competing decision through the intelligent agent unit corresponding to each FTU based on an incomplete information game, and outputting a fault section positioning result. The power distribution network fault positioning method solves the problems that a traditional power distribution network fault positioning method is insufficient in positioning accuracy and poor in fault tolerance and excessively depends on centralized processing and global information synchronization when information is incomplete, fault features are complex and network topology dynamically changes.

The invention relates to a building engineering green low-carbon construction evaluation and decision support system, in particular to the field of building engineering, and aims to construct a space-time atlas to comprehensively characterize a construction process by integrating an Internet of Things sensor, a building information model and meteorological data, and accurately estimate a future carbon emission trend by using a dynamic prediction mechanism. And key influence factors and contribution degrees thereof are identified through factor analysis, and finally real-time optimization suggestions are provided by virtue of a visual interface, so that scientific decision support for green low-carbon construction is realized, carbon emission is effectively reduced, the resource utilization efficiency is improved, and the environmental sustainability of constructional engineering is promoted.

The invention discloses a lightweight method and system for a highway engineering three-dimensional live-action model and a medium, and relates to the technical field of three-dimensional live-action modeling. The method comprises the following steps: firstly, carrying out engineering semantic segmentation on an input three-dimensional grid model, and extracting design parameters in a BIM / GIS (Basic Information Model / Geographic Information System); then, constructing a multi-level constraint model fusing semantic constraints, engineering precision constraints and design parameter constraints; and finally, carrying out iterative simplification under the guidance and limitation of the multi-level constraint model by adopting an improved quadratic error measurement algorithm. The method solves the problems of semantic information loss, out-of-control local precision and disjunction with design intention when a traditional pure geometric simplification method is applied to highway engineering, and can intelligently reserve key engineering characteristics, control geometric errors and fit a design form while ensuring that the data size of the model is greatly reduced. And a high-quality lightweight model suitable for professional analysis and application is generated.

The invention discloses a multi-modal sensing fusion dam body structure state intelligent diagnosis and early warning system and method and application. The system comprises a multi-modal sensing network composed of a space deformation monitoring subsystem, an internal response monitoring subsystem and an environment quantity monitoring subsystem; a data fusion and feature extraction module based on a space-time diagram attention network, which is used for deeply mining a complex space-time coupling relationship between multiple measurement points and multiple physical quantities; the health state diagnosis module based on multi-task learning can synchronously output dam body structure health indexes and abnormal types of key areas; and a future state evolution prediction and multi-stage early warning module based on a Transform model. According to the method, digital twinning of the dam body is constructed, a physical entity and an information model are closely combined, a full-chain closed loop from multi-dimensional perception to intelligent diagnosis to prospective early warning is achieved, and the accuracy, comprehensiveness and timeliness of dam body structure state evaluation are improved.

A three-dimensional parameterization design method for a side slope water interception and drainage ditch mainly comprises the steps that water interception and drainage objects are arranged on a three-dimensional side slope, and the water interception and drainage objects comprise two sub-objects of an axis and sections of different forms; drawing a ditch axis in the three-dimensional space; setting water interception and drainage section attributes; setting an axis control point, and associating section attributes; calculating a project amount according to the axis and the association attribute; and generating a two-dimensional profile map according to the interception and drainage parameters and the three-dimensional geological information. According to the method, a unique method of coupling a three-dimensional axis graph and a section parameter is adopted, the problem that the difference between the section size and the axis length of the ditch is too large in a conventional three-dimensional design is avoided, and the drawing quality of the ditch is kept good during sectioning; a parameterization + non-parameterization coupling sectioning technology is adopted, the problem that a BIM parameterization model and a GIM information model are difficult to integrate on the aspect of sectioning drawing based on a three-dimensional model is solved, and rapid drawing of a two-dimensional section of a slope intercepting and draining ditch on the basis of the three-dimensional model is achieved.

The invention discloses a building information model automatic construction method and system and a storage medium. Multi-source data are collected and preprocessed to form input data in a unified format; respectively extracting two-dimensional and three-dimensional features by using a multi-branch architecture of a convolutional neural network, and comprehensively outputting feature information of the building component in a feature fusion layer; and calling a modeling software interface to convert an identification result into corresponding components, and sequentially assembling the corresponding components into a complete building information model. In order to ensure the accuracy of the model, the method introduces a repairing mechanism based on geometric constraint to adjust gaps and overlapping between components, meanwhile, the volume error rate and the position deviation of the model are verified through statistical analysis, if the volume error rate and the position deviation exceed threshold values, error data are fed back to a network to be retrained, and closed-loop optimization of the model construction process is achieved. And the automatic feature extraction capability of deep learning is combined with a BIM software modeling mechanism, so that the modeling efficiency and precision in a complex scene can be remarkably improved.

The invention relates to the technical field of computer aided design and BIM (Building Information Model), discloses a BIM ancient building component parameterization design method and system fused with a historical form and system, and aims to solve the problems of parameter distortion, low modeling efficiency, high rework rate and the like caused by disjunction of a historical building rule and a BIM in the prior art. The method comprises the following steps: acquiring a historical shape and system standard text data set; a component-region-geometry triple knowledge graph is constructed; outputting Bezier curve control points conforming to regional characteristics through a lightweight curvature parameter generation network; generating an initial model in the BIM; a dynamic geometric constraint engine is used for verifying whether parameters such as the roll-killing radian and curvature continuity are out of tolerance or not in real time, and visual feedback and correction suggestions are triggered; and the model is automatically updated after user confirmation. The modeling precision and efficiency are remarkably improved, the rework rate is reduced, and the requirements of ancient building protection engineering specifications are met.

The invention discloses an underground pipe network construction segment supervision system based on deep learning. The method comprises the following steps: establishing a segment coordinate framework by using construction segment boundary information and mileage pile number information; constructing a super voxel graph; obtaining super voxel maps with consistent time sequences; generating a cross-modal feature vector; outputting a first abnormity identification result; updating the first dense residual neural network model to obtain a second dense residual neural network model; obtaining a third dense residual neural network model, and outputting a second uncertainty score and a third anomaly recognition result; and generating a structured anomaly report according to the third anomaly recognition result, the second uncertainty score and laws and regulations in the building information model and the geographic information model. According to the method, abnormal features of different spatial scales can be captured at the same time, meanwhile, multi-type abnormal structures are subjected to accurate grading identification, the generalization ability and the robustness adaptability to multi-scale anomalies are higher, and the probability of false alarm and missing alarm is remarkably reduced.

The invention discloses an excavator operation action control method and device based on bucket trajectory planning, and belongs to the technical field of engineering machinery automation. The method comprises the steps that excavator attitude sensing data and excavator environment sensing data are obtained; the excavator attitude sensing data comprises all joint angles of the excavator; according to the excavator attitude sensing data, obtaining the position and attitude of the bucket and constructing a dynamic model; the dynamic model represents a mapping relation between the bucket stress information and the bucket force output constraint information; acquiring a three-dimensional construction model according to the excavator environment sensing data; acquiring a three-dimensional deviation field according to the three-dimensional construction model and a preset building information model; planning a target construction track of the bucket according to the position and posture of the bucket, the three-dimensional deviation field and the dynamic model; and the target pose sequence of the joint space of the excavator is obtained based on the target construction track of the bucket, action control is conducted on all joints of the excavator according to the target pose sequence, and the high-precision excavator control method capable of achieving real-time adjustment according to the operation quality is achieved.

The invention provides a data processing method and device based on a smart city, and relates to the technical field of data processing.The method comprises the steps that a city-level spatial data base is constructed through oblique photography of an unmanned aerial vehicle, and a unified and real spatial foundation is formed by generating a live-action three-dimensional model, a digital orthoimage and a digital elevation model; on this basis, a building base and a building white model are extracted, spatial logic verification is carried out on multi-source business basic data, a standard address system stably associated with a building three-dimensional entity is further constructed, precise spatial anchoring of governance objects such as population, houses and units is achieved, and the method is suitable for mass production. And finally, the associated data is uniformly converged to a city information model platform, and reliable and updatable spatial data support is provided for smart city application. According to the invention, the timeliness of smart city data processing in a dynamic earth surface deformation scene can be improved.

The invention provides a power short-term load prediction system based on multi-source information adaptive fusion and a working method thereof, and the system comprises a multi-view data construction module which is used for organizing heterogeneous input data into a plurality of independent semantic views; the spatial dependence coding module is used for learning spatial dependence among nodes through a graph attention network and generating spatial embedding representation; the time dynamic modeling module is used for processing the time sequence view through a recurrent neural network and generating time feature embedded representation; the auxiliary information modeling module is used for processing other auxiliary views through independent feedforward neural network processing and generating auxiliary feature embedded representation; the cross-view attention fusion module is used for carrying out adaptive weighted fusion on all the embedded representations so as to inhibit representation degradation caused by low-quality views; and the load prediction module is used for generating a load prediction result based on the fusion representation and carrying out end-to-end training by taking a mean square error as a target.

The invention relates to the technical field of industrial communication and Internet of Things, in particular to an IO-Link gateway system and method for heterogeneous protocol unification and edge enabling. Comprising a hardware layer, a protocol adaptation layer, a data processing layer, an intelligent computing layer and a communication interaction layer which are connected in sequence to achieve standardized conversion and edge intelligent processing of heterogeneous industrial data, and data time sequence consistency and system operation stability are guaranteed in the whole process. According to the invention, a plurality of heterogeneous industrial protocols are downwards and uniformly mapped to a technical path of an IO-Link international standard, and heterogeneous data are converted into a standard IO-Link object dictionary at a gateway level, so that field devices of different manufacturers and different protocols can carry out data interaction with a uniform and semantic-rich information model; therefore, plug-and-play of data is realized in the equipment access layer, and a solid foundation is laid for constructing an integrated industrial Internet of Things system.

The invention discloses a building operation and maintenance problem reasoning method based on a heterogeneous graph neural network. The method comprises the following steps: extracting BIM model space and component information; constructing a heterogeneous network graph; and model training and problem reasoning. Building space units are extracted from the building information model in the IFC format, space nodes are generated, components serving all the spaces are recognized, and component nodes are generated. And based on the space-component service relationship and the space-space adjacency relationship, establishing a heterogeneous network diagram containing multiple types of nodes and multiple edge relationships so as to comprehensively represent the space structure and function dependence in the building. A heterogeneous graph neural network model is used for training, and cross-space and cross-component feature aggregation and information reasoning are realized under a relation-aware message propagation mechanism. And applying a reasoning result to a building operation and maintenance stage to realize space anomaly detection and component function state diagnosis. According to the method, fusion modeling of spatial information and component information is realized, and the problem positioning precision and response efficiency in building operation and maintenance are improved.

The invention relates to a different intelligence traffic subject interaction information model construction method based on a three-dimensional digital model. The method comprises the following steps: S1, constructing a multi-level scene based on spatial levels of a road traffic system and designing functions of the multi-level scene; s2, defining autonomous levels of the traffic system, and describing the perception capability, decision logic and execution precision of each terminal device of the vehicle road cloud of each level; s3, according to different attributes of traffic entities, designing a perception-transmission-decision-control four-stage traffic information circulation process and realizing unambiguous collaboration among different intelligence subjects; and S4, converting the standardized and defined information model into a plurality of instantiation units, and deploying the instantiation units into computing entities of various end-edge-cloud traffic subjects to support actual operation of a traffic service scene. According to the method, the problems of difficult cross-domain collaboration, non-uniform information models and insufficient global optimization caused by non-uniform intelligent level of traffic subjects in the prior art are effectively solved, and methodological support is provided for design, verification and implementation of a vehicle-road cloud integrated system.

The invention provides an archive management model based on digital twinning, and relates to the technical field of archive management. The archive management model based on digital twinning comprises a physical layer, the physical layer is connected with a data layer, the data layer is connected with a digital twinning layer, and the digital twinning layer is connected with an intelligent control layer. According to the technology, an archive management model is constructed by utilizing digital twinning, a virtual mirror image of an entity storehouse is created through a building information model and an internet of things data stream, millimeter-level precision three-dimensional modeling is realized, archive management is more accurate and intuitive, a weight sensor can monitor the weight of the archive in real time, the deviation can be compared during returning, mistakes and omissions are avoided, and the integrity of the archive is guaranteed; the intelligent control layer generates a three-dimensional navigation path, combines a virtual reality terminal, simplifies the archive searching and returning process, reduces manual errors, tracks an administrator and identifies archives in real time through an ultra wide band positioning module and a radio frequency identification reader-writer, optimizes borrowing and returning efficiency, achieves intelligent management of an archive repository, reduces cost and improves efficiency.

The invention discloses a unified data access method and system for multi-protocol industrial equipment, and the method comprises the steps: constructing a unified equipment information model, and respectively establishing communication connection with at least two different types of industrial control protocol equipment through at least two different protocol adapters, receiving an original data message from the industrial equipment; starting a protocol adapter to parse the original data message so as to extract protocol specific data containing a device logic address, a data value and state information; mapping the protocol specific data to the unified equipment information model to generate a standard chemical control data object conforming to the specification of the unified equipment information model; and issuing the standard chemical control data object to an internal data communication bus so as to realize unified data supply for upper-layer application services. Therefore, an application developer can access and process all equipment data in a consistent and standard manner, the system integration complexity is greatly reduced, and the data fusion efficiency and stability are improved.