134 results about "Digital Archives" patented technology

The invention discloses an intelligent computer archive classifying and filing method. The method relates to the technical field of archive digital management, and comprises the following steps: step 1, acquiring an image of an archive to be archived, and preprocessing the image of the archive; 2, identifying the preprocessed archive image based on OCR image identification software to obtain an initial identification result of archive characters; 3, constructing a semantic analysis model, carrying out semantic analysis on the file character initial recognition result, and outputting a high-precision character recognition result, and 4, based on the high-precision character recognition result, searching a preset target identification character, and carrying out matching classification; step 5, generating hierarchical directory information based on a matching classification result; and step 6, completing archiving storage in combination with a matching classification result and directory information. According to the method, character context semantic association and global sequence logic can be effectively captured, file semantic accurate analysis is realized, and low-confidence character and terminology errors in OCR initial recognition are greatly corrected.

The invention discloses an archive full-life-cycle tracing management method and system based on a block chain, and relates to the technical field of data processing, and the method comprises the steps: creating a digital archive, generating a unique archive identifier, and storing the unique archive identifier in the block chain; obtaining event related data of the archive; calling a block chain smart contract, associating event-related data with the archive identifier, and recording the event-related data as newly-added block data into a block chain; in response to the tracing request, retrieving and extracting all associated on-chain records from the block chain according to the target archive identifier; the method is based on chain records. Constructing and outputting at least one of the following traceability views: a circulation track and a state transition history of an archive entity, an association relationship graph between the archive and other associated archives, all operators related to the archive in a life cycle and operation records thereof, and change history and version comparison information of archive content or metadata; and based on the output tracing view, verifying the archive and triggering a predefined disposal rule or alarm.

The invention relates to the technical field of video processing and artificial intelligence, and discloses an AI video integrated device and a processing method thereof, and the device comprises the following steps: a video collection module obtains a real-time video stream; the event pre-classification module performs analysis to generate an event probability vector; the dynamic strategy scheduling module distributes a control instruction according to the vector. The deep analysis module loads an artificial intelligence model after receiving the instruction and extracts structured metadata; the archive packaging and anchoring module integrates the video stream and metadata, constructs a digital archive package, and carries out encrypted hash calculation, trusted timestamp anchoring and encrypted packaging; and the storage and output module transmits the encrypted file package to an external file management system. An event-driven dynamic strategy scheduling mechanism is introduced, low-power-consumption operation is kept in a conventional state, when the lightweight event pre-classification module recognizes a key event, a high-performance processing mode is switched to, deep analysis resources are mobilized, and the resource utilization efficiency of the device is improved.

The invention discloses an intelligent archive digital processing method and system, and the method comprises the steps: carrying out the synchronous scanning of a paper archive through a multi-spectral linear array scanner, and collecting the archive image data of a visible light wave band and a near-infrared wave band; performing non-uniform illumination correction and perspective distortion correction on the archive image data to generate a geometric and color standardized dual-channel fusion archive image; based on the dual-channel fusion file image, outputting structured layout description information including a text area, a table area, a signature area and an illustration area; generating a preliminary archive information atlas according to the structured layout description information; and based on the archive information atlas and a preset archive metadata specification, finally outputting a fully structured digital archive object conforming to an archive standard. According to the embodiment of the invention, the fully-structured digital archive object can be automatically generated in a high-fidelity manner, and the accuracy, integrity and knowledge degree of digital processing are improved.

The invention relates to a method for detecting microcracks on the inner wall of a wall enclosure superheater of a boiler. The method comprises the following steps: macroscopically identifying and preliminarily screening a high-risk area; creating an endoscope channel based on the primary suspicious area list and performing primary peeping on the inner wall; carrying out detection surface preparation and acoustic coupling optimization; data acquisition is carried out through accurate arrangement of the small-sound-velocity self-coupling phased array ultrasonic probe; extracting defect signal features and carrying out three-dimensional digital modeling; performing crack depth accurate quantization based on a time of flight diffraction mode; carrying out comprehensive data analysis and evaluating a security level; and integrating detection results, and generating a digital file based on the results. According to the invention, standardization of the detection process and systematization of data management can be realized, the detection efficiency and accuracy are greatly improved, a scientific basis is provided for equipment life prediction and maintenance decision, and the safe operation level of the boiler is effectively improved.

The invention relates to the technical field of digital archive management and information retrieval, and discloses a digital archive multi-modal data semantic enhancement fusion retrieval method and system.The method comprises the steps that a policy cycle time axis and a policy term evolution graph are constructed, tense logical reasoning is conducted on archive seals, and permission effectiveness evolution is derived; the temporal permission feature vector and the content semantic vector are fused to generate a multi-modal representation vector, and cross-policy-cycle semantic enhancement retrieval is realized by combining query expansion and temporal permission filtering, so that the problems of missing detection and misjudgment of policy and regulation archives in seal permission historical evolution and term cross-cycle retrieval are solved.

The invention provides an auxiliary filing method based on offshore wind power data, which depends on a digital filing auxiliary platform of a B / S (Browser / Server) architecture, and realizes structured storage of offshore wind power industry specifications and associated logic by constructing a dual-core knowledge base; adopting metadata capture to complete batch processing of multi-format documents; through intelligent identification and classification, automatic paper composition and association relation solidification, an archiving catalog and a unique archive number which accord with industry specifications are generated; and automatically generating multi-dimensional indexes such as technical process, equipment full life cycle, hierarchical classification and the like, and finally outputting a standardized data packet imported by an adaptive offline archiving and digital system in combination with a man-machine interaction verification optimization result. According to the method, the archiving efficiency and normalization are greatly improved, accurate retrieval of data is realized, dependence on professional experience is reduced, and meanwhile, high-quality data support is provided for digital delivery and intelligent operation and maintenance of offshore wind power projects.

The invention relates to the technical field of intelligent management of construction elevators, in particular to a digital intelligent management system for construction elevators, which comprises an operation monitoring module used for collecting operation state data of each construction elevator in real time through a sensor network, detecting fault conditions and performing early warning; the intelligent scheduling module is used for intelligently distributing transportation tasks based on the passenger flow data, the material transportation demand data and the operation state data of each construction elevator; the predictive maintenance module is used for acquiring key component parameters of each construction elevator, predicting the residual life according to the key component parameters in combination with a fault model, and generating a maintenance work order in advance so as to reduce the fault rate; the authority management module is used for limiting unauthorized personnel to use the construction elevator; and the digital archive management module is used for recording the operation state, the fault history and the maintenance record of the construction elevator and generating a complete equipment life cycle archive. According to the invention, fine and informatization management of the whole life cycle of the construction elevator can be realized.

This invention discloses an intelligent management and control method and system for communication tower maintenance, belonging to the field of communication facility maintenance and management technology. It constructs a comprehensive digital archive; achieves closed-loop management of vehicle operation trajectories and fuel consumption, calculating theoretical fuel consumption through a dynamic fuel consumption model and fitting it with actual fuel consumption for analysis; implements collaborative management of personnel work trajectories and work quality, triggering standardized work processes through geofencing, and using convolutional neural networks to identify compliance in process images; establishes material and work order associations through RFID tags, compares actual consumption with standard usage deviations, constructs a cost prediction model using a long short-term memory network, and outputs visual reports. This invention, by constructing a multi-dimensional closed-loop management and control logic, realizes the transformation of operation and maintenance resources from post-event statistics to real-time verifiable data, significantly improving cost control accuracy, work quality, and resource utilization efficiency.

The invention provides a scaffold monitoring management system and method, and the system comprises a component identification module which is used for distributing and managing a unique digital identification code for each scaffold component; the digital archive module is associated with the component identification module and used for establishing and maintaining a digital archive for each scaffold component, and the digital archive at least comprises specification information, state information and dynamically updated historical use data of the component; the circulation monitoring module is used for tracking and recording circulation states and events of each scaffold component in the links of warehousing, ex-warehouse, project erection, warehouse returning and scrapping based on the digital identification codes; and the health degree evaluation module is used for calculating the dynamic health degree of each scaffold component through a preset evaluation model based on the component historical use data and state information recorded in the digital file module. The invention aims to improve the safety, economy and refinement level of scaffold management.

The invention discloses an agricultural non-point source pollution monitoring data quality evaluation method, and relates to the field of agricultural environment monitoring, an agricultural non-point source pollution area to be monitored is divided into a plurality of grid areas to be monitored, and a fixed monitoring unit is arranged in the physical center of each grid area; and the server creates a double-track digital file for each grid area, the double-track digital file comprises a static attribute and a dynamic attribute, the double-track digital file is stored in a database and updated according to a preset period, and an updated version record is retained. According to the method, a three-dimensional multi-index comprehensive scoring and fixed mobile monitoring collaborative verification mode is adopted, the key dimension of data quality is comprehensively covered, misjudgment is reduced, and the evaluation accuracy is improved. An index calculation method, weight configuration and threshold standard are clear, the process is clear and operable, and actual popularization and application are facilitated. And targeted rectification suggestions are output, so that the quality optimization of the monitoring data can be directly guided, the reliability of the monitoring data is guaranteed, and powerful support is provided for agricultural non-point source pollution abatement decisions.

The invention relates to the technical field of computers, and discloses a cultural relic protection project three-dimensional visual digital archive construction method, which comprises the steps of archive initialization and bidirectional index construction: generating a reference surface grid and a sparse voxel octree, constructing a bidirectional index of the reference surface grid and the sparse voxel octree, and initializing a time sequence attribute list; space-time calibration and data stream synchronization: establishing a space conversion relationship between the engineering equipment and a global coordinate system; space-time anchoring data collection: calculating an instantaneous action body by using a space conversion relation, indexing a target voxel, and packaging a time sequence attribute data packet; attribute writing and causal marking: writing in a time sequence attribute list in a data addition mode, and generating a causal relationship mark; and fusing visualization and query: executing query by utilizing the bidirectional index and the causal mark. According to the method, the analysis, visualization and query interactivity of the cultural relic protection digital archive can be improved by constructing the grid and voxel bidirectional index in combination with space-time anchoring and data addition.

The invention discloses an automatic acquisition and intelligent analysis digital archive management system in the tobacco industry, and belongs to the technical field of archive management. The system adopts a micro-service architecture constructed based on a J2EE technical system and a Spring Boot framework, and comprises a data acquisition module, a data storage module, a data arrangement module, a query utilization module, a borrowing management module, an authority management module and a digital processing module. The data acquisition module is in butt joint with a service system through a standard interface and performs four-property detection on the electronic archive; the data storage module adopts a distributed architecture of MySQL master-slave copying and Redis caching, and archive files are encrypted and stored by adopting AES-256; the data arrangement module automatically completes data cleaning, file classification and cataloguing through an intelligent algorithm; the query utilization module supports multiple query modes; and the authority management module realizes fine control based on an RBAC model. According to the invention, full-life-cycle digital management of science and technology archives is realized, the archive management efficiency is greatly improved, the management cost is reduced, and the archive data security is guaranteed.

The application belongs to the technical field of file processing, and particularly relates to a digital file rectification and correction method and system. First, a scanned file image to be rectified and corrected is read, and the file image is preprocessed, wherein the preprocessing at least includes white edge trimming and grayscale processing. Then, a Fourier transform is used to obtain an inclination angle alpha of the preprocessed file image, an outer boundary line of the file image and an inclination angle beta are determined through boundary fitting, and spatial affine transformation is used to correct the inclination of the file image. Then, a list of text pictures in the file image is extracted, and preset radical and / or character components are used to match the text pictures in the file image, to determine upside-down conditions of the file image, and to flip the upside-down file image to obtain a file image with correct text content and inclination angle. The application can process various file images, and real-time performance can meet actual requirements of current projects, and is convenient for application in digital file management.

The invention discloses a production batch digital archive generation and dynamic archiving method of integrated equipment real-time data, and relates to the technical field of informatization and data management. According to the method, the real-time performance and accuracy of a data source are ensured through automatic acquisition and situational identification of the equipment data; a non-repudiation credible evidence chain is constructed through man-machine data intelligent comparison and dual verification; activity and precision of quality control are realized through event driving and intelligent inspection triggering. Complete and consistent production batch digital twinning is formed through intelligent aggregation and structured generation of multi-source data; and finally, dynamic and credible management and full-process visual tracing of the archive are realized through physical digital twin binding and intelligent archiving. According to the closed-loop system, automatic and intelligent management of the whole production archive process from generation to utilization is achieved, and the production efficiency, the quality controllability and the supply chain transparency are remarkably improved.

The invention discloses an intelligent management system for insulating oil routine test handover. According to the invention, by constructing a collaborative system composed of the unique identity identification code, the intelligent code scanning terminal and the cloud data platform, digitization and intelligentization of the insulating oil handover process are realized, and the risk of wrong handover caused by information islands and unknown states is fundamentally eradicated; real-time verification and interaction of the dynamic state of the oil product are automatically triggered through code scanning, the accuracy and efficiency of handover operation are remarkably improved, meanwhile, a full-process traceable digital file is established, and reliable guarantee is provided for safe and stable operation of equipment.

The invention relates to the technical field of building heritage protection, and provides a railway building heritage protection method based on multi-source data fusion in order to solve the problems of data splitting, significant subjective deviation and decision staticization in the building heritage protection process. The method comprises the following steps: constructing a multi-dimensional digital file by comprehensively collecting a BIM model, an Internet of Things sensor network, a historical literature database and a geographic information system; establishing a hierarchical evaluation index system, setting an objective reference value, and determining the weight of a corresponding index by adopting a collaborative process integrating an analytic hierarchy process and a Delphi method; carrying out quantitative scoring through an expert team, and carrying out weighted calculation on a total score of a comprehensive value to determine a protection grade; and performing section division according to the spatial position, identifying regional dominant value features through clustering analysis, and generating a hierarchical protection strategy in combination with a protection rule base. According to the method, normal form conversion from subjective qualitative to objective quantitative in the evaluation process is realized, subjective deviation is remarkably reduced, and the accuracy and operability of protection decision making are improved.

The invention relates to the technical field of educational informatization and block chain technology fusion, and particularly discloses a digital archive management system based on a multi-modal knowledge graph and a block chain, which comprises four core layers: a self-adaptive block chain evidence storage layer ensures credible sharing of cross-mechanism data; the multi-modal knowledge graph intelligent construction layer realizes unified understanding and correlation analysis of multi-modal data; an evaluation engine driven by deep learning completes intelligent evaluation and personalized recommendation; and the intelligent education evaluation support layer provides decision support and risk early warning. According to the method, Transform, a graph neural network, a time sequence graph neural network and the like are fused, the problems that in the prior art, achievement verification is difficult, multi-modal processing is weak, graph construction is immature, evaluation is rigid and the like are solved, data credibility, system adaptability, decision making scientificity and user experience are remarkably improved, and advanced technical support is provided for educational informatization.

The present application relates to the technical field of industrial vision detection and intelligent manufacturing, and in particular provides a papermaking wood grading evaluation method based on 3D vision and high-resolution imaging fusion. The method comprises raw material feeding and pre-screening, and collecting front and back multi-modal information to realize heterogeneous data archiving, establish an initial digital archive of the target physical form; camera alignment and foreground segmentation are performed, and material categories and associated metadata are identified to obtain offline grading evaluation. Through hardware synchronization and algorithm cooperation, the method realizes automatic collection of front and back of wood, calculation of three-dimensional geometric parameters, material classification and grading evaluation, significantly improving detection accuracy, reviewability and automation level.

This invention relates to the field of digital management technology for construction projects, specifically to an intelligent construction and decoration management and acceptance system based on digital licensing, comprising: a certificate management module, a status monitoring module, an acceptance judgment module, and a signature binding module. The system establishes digital license certificates for decoration projects and generates a logically related digital construction task list. During construction, construction status data streams are acquired through on-site environmental acquisition equipment and matched with task nodes in real time. When progress reaches a specific node, an acceptance judgment is automatically triggered, comparing the on-site data with preset standards. If the requirements are met, a digital acceptance signature for that node is generated, bound to the digital license certificate, and the bound combined data, along with the construction status data stream and the comparison results, is stored in the project's digital archive. This invention achieves automatic triggering and digital closed-loop management of the construction acceptance process, improving management efficiency and the reliability of the archives.

The invention relates to an electrical angle calibration method and system for a joint actuator. The method constructs an intelligent calibration closed loop that is deeply integrated with a production line management system (MES). The method comprises the following steps: scanning a product identification code and automatically preloading an optimal parameter; the actuator automatically detects the encoder signal, performs closed-loop adjustment on the gain, and records data at the same time; if the fault occurs, calling a rule base to perform multi-dimensional root cause pre-judgment and interception; after the signal is qualified, high-precision electrical angle compensation is executed, and a compensation value is locally stored and uploaded to a digital file; the system realizes self-learning and continuous optimization by periodically analyzing historical data; and finally, generating a uniquely bound full-link traceable file. The system comprises an upper computer, a joint actuator, a programmable power supply and a CAN communication module. According to the invention, full automation, intelligence and datamation of calibration are realized, the problems of low efficiency, poor consistency, dependence on manpower and the like are solved, and the production takt, quality and traceability are remarkably improved.

This invention relates to the field of digital archives management technology, specifically to an artificial intelligence-based system for analyzing and warning of abnormal archive behavior. The invention uses a graph construction module to transform archive access logs into a relational topology graph; an attribute propagation module performs weighted transfer and accumulation of weights based on a graph traversal algorithm to calculate the cumulative relational index value of nodes; a connectivity retrieval module retrieves cross-regional links based on partition isolation rules; and an early warning output module generates early warning signals based on index values ​​and link status. This invention utilizes the flow mechanism of feature values ​​in a graph structure to aggregate minute risky behaviors within discrete long-term windows, accurately identifying complex abnormal patterns where a single operation may not violate regulations but the long-term cumulative risk exceeds the limit. This solves the problem that existing static statistical rules are unable to detect hidden logical violations, effectively reducing false alarms and false negatives.

The application discloses a kind of digital archives intelligent information mining method, it is related to file information processing technical field, the present application is evaluated data quality by a series of quantitative indicators including consistency index, integrity index, importance index and comprehensive importance index, which effectively reduces subjective judgment when manual screening, make data screening process more objective, reliable and scientific, simultaneously, by combining quantitative indicators with comprehensive weight, to automatically generate weighted threshold based on data-driven, the application of this weighted threshold not only can quickly process large-scale data set, to reduce the demand for a large number of manual annotation of manpower, and can effectively filter out high-quality data set, and be applied to subsequent deep learning model training, to significantly improve the output accuracy and stability of model, ensure that more accurate prediction results can be obtained, and based on this more accurate prediction results, more scientific and reasonable business decisions can be made.

The application relates to the technical field of cloud databases, and discloses a digital archive information storage method and system based on a cloud database, which comprises the following steps: receiving a query request containing multiple query conditions, decomposing the query request into multiple independent query parts, distributing the query parts to corresponding processing units according to the data characteristics of the query parts, deploying a processing module on each data shard, maintaining a semantic information index related to local archives, preliminarily screening the local archives according to the received query parts and the semantic information index, and obtaining simplified archive identification information. Finally, archive identification information from multiple processing modules is gathered, and archive content is obtained according to the gathered archive identification information. Through the technical scheme, the application can effectively deal with the complex correlation query and frequent update challenges of digital archives in a distributed cloud database environment.

The invention discloses a digital archive management system and method, and relates to the field of archive management. Comprising an information acquisition module which is used for acquiring archive information, the archive information comprises name information, content information and architecture information, and each piece of archive information is used as an independent archive package; the archive classification module is used for classifying the collected archive packages; the archive encryption module is used for encrypting content information in the classified archive packages; and the archive storage module is composed of a plurality of parallel storage units and stores the encrypted archives in a distributed storage mode. According to the method, the archives are encrypted and stored in a distributed mode, on one hand, the cracking difficulty of the archives is increased, on the other hand, even if part of information is leaked, a complete combination cannot be formed, and therefore the safety of the archives is greatly improved.

The invention discloses an agricultural product production whole process data management and control and intelligent analysis system and method, and relates to the technical field of data management and control, and the system comprises a data collection module which is used for deploying an Internet of Things sensor and a multispectral unmanned plane, and generating a crop growth digital file; the storage deduction module is used for performing simulated growth deduction in the mechanism growth digital model; the yield optimization module is used for generating a yield optimization scheme according to the target yield influence factors; the data resume module is used for obtaining the digital fingerprint ID of the crop and generating a query two-dimensional code; the data query module is used for constructing a crop knowledge graph and constructing a natural language question and answer interface at the front end; the crop adaptation module is used for generating a crop / mode plug-in and expanding according to the crop / mode adaptation plug-in; and the automatic grading module is used for carrying out computer visual identification on the crop fruits and carrying out automatic grading. The method has the effect of improving the efficiency and accuracy of agricultural product production whole-process data management and analysis.

The invention discloses an archive image character key information extraction method and system based on deep learning, and belongs to the technical field of machine vision and deep learning. The method comprises the following steps: constructing a data set containing a real archive image and a synthetic archive image; according to the data set, adopting a YOLOv5 network to train an identification photo detection model, and adopting the trained identification photo detection model to position an image from a to-be-processed file and cut out an identification photo; based on an optical character recognition (OCR) technology and a target detection model, extracting key information of a printed form and a handwritten form in the file to be processed; wherein printing body characters are directly recognized through OCR, and handwritten characters are firstly subjected to OCR assisted positioning and then extracted through the target detection model; and carrying out structured processing on the extracted information and outputting the processed information. According to the invention, the working efficiency of management personnel can be improved, the maintenance cost can be reduced, and the digital archive information is fully utilized to automatically extract key information.

The invention discloses a full life cycle intelligent supervision method and system oriented to somatic cell clinical research, and relates to the technical field of somatic cell clinical research supervision. Based on the associated evidence atlas, intelligent auditing is achieved, and an interpretable report is generated; an in-process real-time supervision stage: real-time acquisition and verification of physical parameters, operation specifications and follow-up visit data are realized through an Internet of Things sensor, computer vision and an intelligent terminal; and a post-event intelligent auditing and tracing stage: integrating full-process data based on the unique ID of the project to form a digital file, mining compliance defects by using a deep learning model, and realizing credible tracing through a block chain. According to the invention, the problems of high manual dependence, blind monitoring areas, difficulty in tracing and full-flow splitting in traditional supervision are solved, automatic, intelligent and traceable supervision of the whole life cycle of somatic cell clinical research is realized, and the supervision efficiency and accuracy are improved.

The application discloses an intelligent file digitization processing method and system, and the method comprises the following steps: synchronously scanning paper files through a multispectral line array scanner, and collecting file image data in a visible light band and a near-infrared band respectively; correcting non-uniform illumination and perspective distortion of the file image data, and generating a geometrically and coloristically standardized double-channel fusion file image; outputting structured layout description information containing a text area, a table area, a signature area and an illustration area based on the double-channel fusion file image; generating a preliminary file information graph according to the structured layout description information; and finally outputting a fully-structured digital file object meeting archiving standards based on the file information graph and a preset file metadata specification. By using the embodiment of the application, a fully-structured digital file object can be automatically and high-faithfully generated, and the accuracy, completeness and knowledge level of digitization processing are improved.

The invention relates to an aviation internet autonomous controllable platform flow analysis and management system. The method comprises a data acquisition unit, a data processing unit, a flow early warning traceability unit and an air-ground bandwidth optimization unit. Presetting aviation fleet satellite network acquisition nodes, and obtaining network flow data; five-dimensional standardized data sets of equipment, flights, applications, scenes and traffic are generated through processing, and the data sets are graded through an intelligent classification mechanism and stored according to grades; constructing an equipment dynamic digital file, generating an equipment flow diagram with a time axis, extracting total flow data of target equipment through multi-condition combination screening by combining flow diagram time sequence distribution characteristics and stage flow statistical data and utilizing a dynamic flow fluctuation threshold value and a grading early warning mechanism, and obtaining an evaluation report; and combining an air space application flow fingerprint spectrum technology and the five-dimensional standardized data set to identify flow air space application, and generating a bandwidth optimization strategy. Therefore, flow analysis and management of the aviation internet are realized.