337 results about "Digital Archives" patented technology

The invention discloses an intelligent geometric reasoning and semantic understanding method based on a three-dimensional large language model, which comprises the following steps of: acquiring point cloud data of a building component through three-dimensional scanning equipment, associating text information, and constructing a multi-modal three-dimensional large language model comprising a geometric perception coding module, a context semantic understanding module and a parameter efficient fine tuning module; a cross-modal contrast loss and task instruction fine tuning strategy is adopted in model training, and finally semantic recognition, attribute completion and historical background analysis results of the building components are output. The method is suitable for building heritage digital protection, intelligent building process monitoring and three-dimensional digital archive management, component function recognition precision and cultural semantic mining capability in a complex scene can be improved, and real-time semantic updating and interactive response of a dynamic construction environment are supported.

The invention relates to the technical field of digital management, in particular to an offshore platform component processing full life cycle quality tracing system which comprises a component unique identification code generation module, a multi-source processing data acquisition module, a quality judgment and tracing code association module, a holographic digital archive construction module and a three-dimensional visual tracing module. Wherein the component unique identification code generation module is used for generating a unique identification code; the multi-source processing data acquisition module is used for acquiring processing process data associated with the unique identification code of the component in real time; the quality judgment and traceability code association module is used for generating a quality judgment result based on a preset quality rule base; and the holographic digital archive construction module is used for generating a full-life-cycle data chain of the component. According to the method, the whole life cycle data chain with the unique traceability code as the index is constructed and mapped to the BIM model, and structural management and space-time visual traceability of the quality information of the offshore platform component are achieved.

The invention provides a fan full life cycle archive management system and a management method thereof, and the system comprises an Internet of Things data collection module which is installed on a key part of a wind turbine generator set and collects vibration, temperature and stress data; the full-life-cycle digital archive management module is used for recording full-process information of the fan from design to operation and maintenance based on a cloud database and a block chain technology, and ensuring data integrity and traceability; the AI predictive maintenance analysis module analyzes data and predicts faults by using deep learning and machine learning algorithms; the intelligent scheduling and maintenance decision support module is used for generating an optimal maintenance plan in combination with external factors; and the responsibility tracing and process optimization module is used for recording maintenance details to optimize the process and spare part management. The management method comprises the steps of data acquisition, storage, analysis, maintenance plan making, task execution and recording, effect evaluation, process optimization and the like. Through cooperative work of all the modules and implementation of the system method, accurate and efficient full-life-cycle management of the draught fan is achieved.

The invention discloses an archive digitization full-life-cycle encryption integrity verification method and system, relates to the field of digital archive safety management, and is used for solving the problem of integrity and safety guarantee in archive digitization management. Logic units are divided through a semantic analysis engine, non-uniform blocks are generated based on sensitivity dynamic partitioning, local hash values are calculated, and a multi-level verification tree is constructed to generate root hash and a hash path mapping table; acquiring visitor identities, terminal environments and timestamps in each stage of an archive life cycle, generating state snapshots in combination with a hash path, and constructing a life cycle state snapshot chain; reconstructing a target logic unit verification path according to the access request, analyzing the structural difference between a current path and a historical snapshot chain through a path reconstruction type difference verification algorithm, and identifying structural offset, node tampering or path loss; and response control is triggered for abnormal verification, including session key updating and permission freezing, so that the security integrity guarantee of the digital archive in the full life cycle is improved.

The invention discloses a digital archive intelligent retrieval method and system for a storage device, and relates to the technical field of information, and the method comprises the following steps: inputting information by a terminal user, preprocessing to obtain an associated retrieval string, and performing multi-dimensional retrieval in a digital archive by using the associated retrieval string to obtain a plurality of associated information sets; historical retrieval records of a terminal user are obtained, the browsing tendency of the terminal user is analyzed, and a retrieval associated information set is obtained by screening multiple associated information sets and fed back to the terminal user. The technical problem that personalized and targeted retrieval results cannot be accurately and efficiently provided for users in the face of massive digital archives in the existing retrieval technology is solved, the users can quickly and effectively obtain valuable personalized information by accurately matching user requirements with the retrieval results, the functions of the digital archives are fully played, and the user experience is improved. The technical effect of improving the efficiency and satisfaction degree of obtaining the digital archive information by the user is achieved.

The invention discloses a digital archive management method and system, particularly relates to the field of digital archive management, and aims to evaluate the fracture or abnormal jump degree of time data through continuous analysis of the time data in a digital archive. And carrying out integrity analysis on the spatial data in the digital archive, and evaluating the abnormal deviation or missing degree of the spatial data. And according to the evaluation results of the time data and the spatial data, screening out archives with time-space association abnormity. And based on the digital archive with the space-time association abnormity, the space-time association between the time data and the space data is evaluated by analyzing the space-time association matrix. The digital archive management model is established according to the fracture or abnormal jump degree of the time data, the abnormal deviation or missing degree of the space data and the space-time correlation of the digital archive space-time data, so that the digital archive management efficiency and the digital archive integrity are improved.

The invention relates to the technical field of bridge engineering construction, in particular to a bridge deck concrete flatness detection and correction method, which comprises the following steps: synchronously acquiring bridge deck point cloud, elevation and crack data through a three-dimensional laser scanner, a laser profiler and an ultrasonic sensor, and fusing to generate a three-dimensional digital model; defects such as local protrusions and wave deformation are recognized based on an intelligent analysis algorithm, causes are analyzed, and correction process parameters such as milling, cladding, grouting or ultrathin layer pouring are generated in a targeted mode; operation is executed through equipment such as a finish milling machine, closed-loop control is realized by combining real-time monitoring of a laser profiler, and finally, a traceable digital file is formed through laser detection, inspection and acceptance of an unmanned aerial vehicle and data archiving. By means of the method, the pass percent of the flatness of the bridge floor can be increased to 94% or above, the maximum height difference is controlled within 3 mm, the maintenance period of the bridge is prolonged, and the maintenance cost is reduced.

The invention relates to the technical field of cold-chain commodity transportation, in particular to a temperature monitoring and control method in a cold-chain commodity transportation process, which comprises the following steps: acquiring real-time temperature data, and generating a thermal response digital file of a cold-chain commodity according to the real-time temperature data and a cold-chain commodity category database; real-time positions and external air temperature data of the cold chain commodities are collected, and a temperature threshold value of the next time period is predicted according to the heat capacity characteristic parameters reflected by the thermal response digital archive; a three-dimensional temperature field distribution diagram is constructed based on the temperature threshold value of the next time period and the vibration data of the compartment where the cold-chain commodities are located; generating a control instruction according to the coordinates of the temperature anomaly region in the three-dimensional temperature field distribution diagram; after the control weight coefficient is calculated according to the control instruction and the preset energy consumption optimization objective function, the temperature control operation is executed according to the control weight coefficient and the control instruction, and balance temperature monitoring and control and energy consumption optimization are effectively achieved.

The invention discloses a digital archive online management system based on big data. The digital archive online management system comprises a digital acquisition layer which is used for carrying out semantic perception and structured extraction on heterogeneous archives; and the intelligent classification layer is used for mapping the collected archive entities, attributes and relationships to a dynamically expanded domain knowledge graph based on a knowledge graph construction technology and a graph neural network, realizing association mining and dynamic classification of cross-modal archives through node embedding and link prediction, adapting to evolution requirements of archive themes in combination with a weak supervised learning mechanism, and realizing dynamic classification of the cross-modal archives. A classification system with causal interpretation is formed; the storage retrieval layer is used for encoding the generation time, the space trajectory and the event causal chain of the archive into space-time causal metadata; the archive utilization layer is used for actively pushing associated archives and generating a personalized analysis report by analyzing user behavior preferences and scene requirements; and the backup layer is used for dynamically sensing the threat type and calling an evolutionary algorithm to adjust the backup frequency, the storage position and the recovery path.

The invention discloses a digital archive safe circulation tracking method and system based on a dynamic watermark, and relates to the technical field of digital archives, and the method comprises the steps: collecting the physical layout features and semantic features of an archive at the same time, generating a comprehensive archive feature map, and dynamically adjusting the watermark intensity in combination with a rank screening threshold; a visual fidelity and watermark extraction degree double-index evaluation system is introduced, watermark position evaluation is carried out, and archive carrier sequence substandard and standard labels are obtained; and by monitoring the watermark survival rate, the visual fidelity and the circulation error rate, a correction strategy selection rule is constructed and comprises position iteration correction or sequence correction, so that evaluation and dynamic calibration of the watermark embedding position are realized, and dynamic selection of a correction strategy is realized.

The invention relates to the technical field of information, and discloses a digital archive classification query method based on large model index recognition, and the method comprises the steps: generating unified feature representation through the collection and processing of multi-modal data; optimizing information expression of the multi-modal data based on a feature fusion method; the consistency of data features and the accuracy of classification results are improved by utilizing a dynamic verification mechanism; the optimized features are embedded into a low-dimensional semantic space through a dimension reduction method, and classification tags are generated; and constructing a vector index supporting query and feedback optimization, wherein the collection of the multi-modal data comprises the following steps: collecting text data and collecting image data. Feature extraction is carried out on image data through the convolutional neural network, unified feature representation of texts, images, audios and structured numerical data is realized through collection and processing of multi-modal data, and the problems of single data source and inconsistent feature representation in the prior art are effectively solved.

The invention discloses a digital archive supervision system based on a block chain, and relates to the field of digital archive supervision. The system comprises an archive collection module, a block chain pre-processing module, a dynamic consensus module, an intelligent contract module and a supervision module. The archive collection module preprocesses heterogeneous data through a CRNN algorithm to generate a standard data set; the pre-processing module adopts the combination of SM4 and homomorphic encryption to protect data; the dynamic consensus module dynamically adjusts the right based on the node credit score, the main chain uses a PBFT method enhanced by a threshold signature to ensure the safety of core operation, and the side chain uses DPoS-RAFT to process high-frequency business; the intelligent contract module constructs a Merkle tree through block hash, and performs automatic hash verification and triggers exception handling during access; the supervision module realizes layered examination and approval of the unfreezing application by using a decision tree algorithm; according to the system, through cooperation of multiple modules, full-process block chaining of archives from collection, encryption, consensus to supervision is achieved, and the system is suitable for credible storage and supervision scenes of digital archives.

The invention belongs to the technical field of archive management, and discloses an intelligent archive supervision method, device and equipment and a storage medium, and the method comprises the steps: carrying out the standardization processing of an archive feature data set which is established based on entity feature information and electronic feature information, and generating the digitalized archive information which can be analyzed; processing the parsable digital archive information through a preset rule to obtain archive metadata; constructing a dynamic supervision model based on the file metadata, and performing real-time association analysis by using the dynamic supervision model; when the correlation analysis result does not meet the preset condition, a corresponding grading response mechanism is matched according to the label attribute, and a disposal instruction containing an exception type identifier is generated; and outputting a visual supervision report based on the execution result of the disposal instruction and the historical supervision data, thereby breaking through the limitation of physical feature and electronic data splitting analysis, establishing entity-electronic feature space-time correlation mapping, and realizing accurate matching of hierarchical response strategies based on file metadata tags.

A computer-implemented method of automatic event and user-driven event triggers digital notarization on the data and documents on one or more blockchains, according to example embodiments. A method may combine a novel method of additional digital notary functions with existing hash algorithms, digital or electronic signature technologies, secured data or document storage and may add the novelty of assigning notary requirements to a digital asset in a digital dossier. Embodiments may include a digital asset with an aggregation of a digital dossier, notary specification, a notary party group, event-driven automated notary process, a multi-party automated notary process, and a multi-notary notary process. The notary specification may identify the items in the dossier that must, according an example embodiment, apply a notary, signature requirements, and other settings. The method may be applied for the lifecycle of activities for an asset independent of the time duration of the life of the asset.

The invention discloses a digital archive multi-protection-based data security transmission method, and relates to the field of data security transmission, and the method comprises the steps: generating a random seed in real time based on a quantum state, carrying out the iterative blocking of the quantum seed through combining with Logistic chaotic mapping, outputting variable-length secret key fragmentation, carrying out the symmetric encryption of archive data through employing a lightweight SM4 algorithm, and carrying out the encryption of the archive data. Obtaining encrypted data of the fragments; a behavior anomaly probability is calculated through a hidden Markov model, a risk score is calculated through a safety interval, and when a score value exceeds a safety threshold value, a grading response is triggered; key fragments are generated by adopting n nodes, at least k fragments can reconstruct signatures to monitor the node state of the block chain, and when the node anomaly rate exceeds a node threshold value, a three-layer architecture is automatically switched. The method has the advantages that an active multi-protection system is constructed through a quantum dynamic key, risk-driven hierarchical response and block chain disaster recovery switching, and quantum attack resistance and dynamic adaptation to transmission of network risks are realized.

The invention relates to a digital archive intelligent processing method, a storage medium and a system, which are suitable for multi-source heterogeneous archive management scenes such as colleges and universities. The method comprises the following steps of: classifying structured and unstructured data such as paper archive scanning pieces and database views, and extracting metadata and entity information by adopting a scanning and OCR (Optical Character Recognition) technology; a complex table and document content are analyzed through a model, semantic analysis (entity recognition, relation extraction and event abstract) is achieved in combination with a language model of a Transform architecture, and a structured report containing a data abstract, an entity relation graph and abnormal annotations is generated. The system is internally provided with a parameter template automatic generation module, supports cross-page content continuous restoration and sensitive data encryption desensitization, and realizes safe sharing through an API interface. The method solves the problems of low efficiency, difficulty in multi-source data fusion and the like of traditional archive processing, improves the automation level and data value mining capability of archive management, and is suitable for intelligent upgrading of complex archive scenes.

The invention relates to the technical field of archive management, in particular to a visual intelligent digital archive management method and system. The method comprises the following steps: acquiring a user retrieval request; analyzing the user retrieval request, and determining retrieval information; determining an associated node of the retrieval information according to a preset knowledge graph; determining a topological structure of the associated node according to the preset knowledge graph; determining a paternal document set and a sub-document set according to the topological structure; and determining a visual evolution structure according to the association node, the paternal document set and the subsystem document set. By establishing an encrypted communication link with a user terminal, a user retrieval request is captured in real time, and the semantic ambiguity rate can be reduced when the retrieval information is determined to process terminologies in an engineering document; and according to the topological structure, the paternal document set and the sub-document set are determined, so that the fuzzy retrieval accuracy can be improved.

The invention relates to the technical field of digital archive management, and discloses an archive digitization intelligent management system, which comprises a document digitization module used for converting a paper document into a digital document through an OCR (Optical Character Recognition) technology; the semantic label extraction module is used for extracting semantic labels of the digital documents through a semantic analysis model; the document storage module is used for constructing a knowledge graph according to the semantic tag of the digital document and storing the knowledge graph into a graph database; the document retrieval module is used for inputting retrieval entries of a user into the graph database and outputting digital documents conforming to the retrieval entries; according to the method, the semantic label of the digital document is automatically extracted through the semantic analysis model, the knowledge graph is automatically constructed according to the semantic label, and the retrieval entry of the user is converted into word vector representation, so that the accuracy of digital document retrieval can be improved.

The invention relates to a digital-intelligent debugging system for a nuclear power plant. The digital-intelligent debugging system comprises a nuclear power debugging data center, a debugging navigation system and a debugging test system, the nuclear power debugging data center carries out sampling, analysis, arrangement, data base construction, data display, data connection and communication and data maintenance management on debugging test data; the debugging navigation system generates a navigation plan mechanism model, constructs a logic sequence of plan activities, constructs a debugging navigation plan, carries out online distribution and management on the plan, displays debugging plan information, manages a joint debugging plan, a special project plan, a single system plan and a micro-plan. Performing statistical analysis on the plan and generating an associated knowledge base and a model algorithm; the debugging test system carries out debugging program file construction, online test execution, report generation, digital archiving and transfer, digital quality control, experience service data integration and process deviation management. Nuclear power debugging digitization is achieved, quality and efficiency are improved, and the safety level is improved.

The invention discloses a traditional Chinese medicine decoction piece production data management method and system based on quality tracing, and relates to the technical field of production data management. According to the invention, a unique tracing identification code is generated for warehousing traditional Chinese medicine raw materials, and information is bound to create a digital file; in the production process, data and quality data of all procedures are collected in real time by scanning the identification codes, and a dynamic production digital file is formed; an improved TCN neural network is trained to construct a quality prediction model, and the model can accurately predict product quality by introducing optimization such as a process perception attention mechanism and parallel branches; performing real-time quality evaluation and process adjustment by using the model in production; key process data is stored through a block chain, and a traceability code is provided on a finished product package for visual query; data communication and credible tracing of a whole production chain are achieved, quality control is converted into active prediction and intervention from passive inspection, and the quality stability and management efficiency of the traditional Chinese medicine decoction pieces are remarkably improved.

The invention relates to the technical field of automatic control, and discloses an automatic control method and system for production of a blood-sugar-reducing egg fermented feed. The method comprises the following steps: intelligently identifying raw materials, accurately proportioning, acquiring digital fingerprints by using multiple groups of sensors, and performing double-speed blanking to realize proportioning; feeding the materials into a parameterized mixing system, and performing multi-stage variable-speed stirring to generate a parameter report; self-adaptive fermentation, multi-point sensing monitoring and self-adaptive PID adjustment are carried out according to report conditions to obtain a fermentation material; and performing post-processing to obtain a feed product and a digital file. The technical problems of accurate identification and intelligent proportioning of raw materials in the production process of the blood-sugar-reducing egg fermented feed, uniformity control and accurate regulation and control of fermentation conditions in the mixing process of the functional feed and full-flow digital management and quality tracing of the blood-sugar-reducing functional feed are solved.

The invention relates to the field of digital archives, in particular to an alarm information processing method and system based on a block chain technology. A traditional monitoring system mainly carries out real-time monitoring according to data of a sensor and gives an alarm, and data may be tampered, so that emergency response and afterward responsibility investigation and determination work are affected; the invention aims to provide the alarm information processing method and system based on the block chain technology for a scene that alarm data is easy to tamper in the field of safety production, the method is improved on the basis of the existing Internet of Things technology, the block chain technology is added into the alarm processing system, and the alarm information processing efficiency is improved. The non-tampering and traceability of the data are realized based on the block chain technology, the integrity and transparency of the data are comprehensively considered in the risk monitoring process, the data security can be ensured, and the data security can be ensured for storing and tracing complete and real alarm notification and disposal process records. And powerful evidence support is provided for responsibility investigation and responsibility determination of subsequent accidents.

The invention relates to the technical field of digital storage, and particularly discloses a multi-dimensional space storage management method and system for a digital archive and a storage medium, and the method comprises the steps: receiving an archive to be stored, and scanning the archive to obtain a digital archive; the digital archive is a scanning image set; sequentially reading images of any digital file, identifying the images, positioning a textbox, and extracting a characteristic curve of each image based on the positioned textbox; determining the anomaly degree of any image according to the characteristic curve, counting the anomaly degrees of all the images in the same digital file, and determining the universality of the digital file; and archiving and storing the digital archives according to the popularity. According to the method, the archives are scanned to obtain the digital archives, the digital archives are subjected to feature extraction, and then classified, archived and stored, so that the data retention time is greatly prolonged, and the data storage space is reduced.

The invention belongs to the technical field of digital archives, particularly relates to a digital archive management method and system based on a block chain technology, and solves the problem that the rate associated with a digital archive in a digital conversion processing process is low due to a digital archive conversion mode. And based on the related format of the single-group content in the segmented content, determining the determined binary total number corresponding to the single-group content, then determining the digital code corresponding to the single-group content, subsequently determining the sequence code corresponding to the related file, and after conversion processing is completed, recombining the digital code segment associated with the related file based on the corresponding sequence code to obtain the file. And the digital archives associated with the related archives are confirmed, so that the synchronous conversion process of multiple groups of different archives is completed, and the digital archives associated with each different archive in the synchronous conversion process can be quickly recombined.

The invention discloses a BIM-based building construction monitoring method, and the method comprises the steps: arranging a data collection device at a construction site, and obtaining multi-source data, such as structural members, construction machinery, spatial positions of operators, construction states, safety indexes and environmental parameters; automatically mapping multi-source data to a BIM three-dimensional model through an adaptive coordinate transformation and semantic recognition algorithm, matching the multi-source data with construction plan nodes, and generating a BIM construction state model reflecting a field state in real time; the system automatically compares the model with a construction plan model, identifies a state and calculates deviations such as progress, position, size, quality and safety; the method comprises the following steps: displaying deviation parts and potential safety hazards in a BIM interface in a highlight manner, superposing rectification suggestions, issuing a construction adjustment instruction confirmed by a manager to a field terminal, and storing monitoring, comparison, early warning and processing records in a database according to a time sequence to form a digital file; and real-time intelligent monitoring and visual management of construction progress, quality and safety are realized.

The invention relates to the technical field of irrigation water, and discloses an irrigation district water optimization method and system based on dynamic data management, and the method comprises the steps: collecting the basic data of an irrigation district project and a monitoring station, the data of the irrigation district monitoring station, the monitoring data of the water volume of each branch water port in an access irrigation district, and the geographic information topological data of an integrated channel system and a land parcel; constructing a digital archive library; obtaining a water demand forecast and a recommended water distribution scheme according to the data in the digital archive, and making an actual water consumption scheme by referring to the water distribution scheme; calculating a canal system utilization coefficient and an irrigation water utilization coefficient based on the canal head water diversion amount, the water consumption data of each tail end water diversion port and the actual water consumption data of the field plot, and evaluating the water utilization efficiency; and when optimization is determined, optimizing water consumption of the irrigation area according to the canal environment data, the canal system utilization coefficient and the irrigation water utilization coefficient. According to the invention, by establishing a total-factor digital mapping relation, accurate metering and dynamic optimization of irrigation water are realized, and dynamic planning of water saving of an irrigation area is realized.

The invention provides a financial customer digital archive management method and system based on a block chain, and a medium, and belongs to the field of archive management. The problem of low efficiency of financial customer archive management is solved; the method comprises the following steps: acquiring identity information and financial information of a customer; designing an identity label according to the identity information; constructing a Merkle tree to store financial information, and deploying the financial information on a block chain; clients are divided into high-net-value clients and common clients; the credit score of the high-net-value customer is calculated, and the loan interest rate of the high-net-value customer is drawn up; the transaction time, the transaction object and the transaction amount of the common customers are analyzed, the frequently-taken shop of each common customer is determined, then the common customers are classified, and a customer consumption behavior report is obtained; customer consumption behavior reports are summarized and fed back; synchronously updating financial information on the block chain; the financial information of the customer is digitally processed and stored, so that the safety of the financial information is improved, and a financial institution can know the consumption change of the customer in real time.

The application discloses an intelligent geometric reasoning and semantic understanding method based on a three-dimensional large language model, which collects point cloud data of building components through a three-dimensional scanning device and associates text information, constructs a multi-modal three-dimensional large language model comprising a geometric perception coding module, a context semantic understanding module and a parameter efficient fine-tuning module; model training adopts a cross-modal contrast loss and a task instruction fine-tuning strategy, and finally outputs semantic recognition, attribute completion and historical background analysis results of the building components. The application is suitable for digital protection of building heritage, intelligent construction process monitoring and three-dimensional digital archive management, can improve component function recognition accuracy and cultural semantic mining capability in a complex scene, and supports real-time semantic updating and interactive response of a dynamic construction environment.

The invention relates to the technical field of digital archive resources, and discloses a knowledge graph construction method and system based on digital archive resources, and the method comprises the following steps: 1, converting a paper archive into an electronic document, obtaining the digital archive resources, and extracting the content of the digital archive resources; 2, based on the extracted content, performing multiple times of identification on entities in the same electronic archive text to obtain identification result data, processing the identification result data, and calculating an identification result evaluation value; 3, based on the obtained identification result evaluation value, the identification result of the same electronic file is evaluated, and the evaluation result comprises generation of an accurate identification signal; and step 4, based on the generated accurate identification signal. According to the method, when the entities are recognized, repeated recognition is carried out for multiple times, and the result is comprehensively analyzed, so that the accuracy and reliability of entity recognition are effectively improved, and powerful support is provided for knowledge graph construction based on digital archive resources.

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.