187 results about "Digital file" patented technology

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 provides a three-dimensional visualization analysis method for a real scene of an ancient earthquake exploring groove, which belongs to the technical field of seismic geological survey and comprises a data acquisition module used for acquiring point cloud data of target exploring grooves in different regions. And the model building module is used for carrying out scene format conversion on the point cloud data of the target exploring grooves in different regions, and carrying out exploring groove three-dimensional model building by utilizing the converted SLPK file. And the visualization module is used for carrying out live-action three-dimensional display on the three-dimensional models of the target probe grooves in different regions through a three-dimensional scene Web server based on the SLPK files in different regions, and rendering node data of different detail levels of the probe grooves according to user requirements. The ancient earthquake event can be better understood, and a reliable three-dimensional digital file and a new shared analysis normal form are provided for the ancient earthquake.

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 field of power transmission line device defect detection, and discloses a strain clamp defect detection method and device based on computer vision, and the method comprises the steps: obtaining a global three-dimensional point cloud model of a strain clamp; mapping a standard detection path to the model; synchronously acquiring an internal structure image, an external surface image and an acquisition pose along the path; identifying suspected defects in the internal structure image; if the defect exists, calculating a corresponding associated influence area of the defect on the three-dimensional model by combining the pose; and performing enhanced scanning on the associated influence area to obtain high-precision information. The device comprises a ray machine; a ray machine control module; a digital ray imaging detector; a multi-dimensional information fusion probe; a wireless transmission module; and a power module. According to the method, internal and external defects can be accurately associated, the detection process is standardized, the detection accuracy and repeatability are improved, and a traceable digital file is constructed.

The invention discloses a public security household registration archive digital processing method based on an intelligent OCR recognition template, and the method comprises the following steps: 1, selecting an archive type, and creating an archive box; 2, scanning or uploading a household registration file picture, and selecting a created intelligent OCR recognition template, including creating an intelligent OCR recognition template table and creating an intelligent OCR recognition template element table; 3, adjusting an identification area, submitting OCR identification in batches, and returning results; 4, checking the original archive and the identification result in sequence, and if the original archive and the identification result are inconsistent, selecting a single area to submit identification or manually fill in; if yes, the local intelligent template is stored, and the digital archive information is stored; 5, judging whether the attached files exist or not, and if yes, scanning the attached files in batches; whether batch digital processing is carried out is judged, and if yes, the next picture is automatically switched to be continuously processed; and if not, ending the digital processing flow of the household registration archives. The recognition coverage rate is high, the recognition precision and the working efficiency are greatly improved, and the manual checking workload and cost are reduced accordingly.

The invention provides an intelligent dispatching and remote control method for a tower crane, which is applied to the field of fabricated house building construction and engineering equipment and aims to solve the problems of difficulty in dispatching the tower crane, low construction efficiency, severe operation environment and high safety risk in a clustered fabricated building. The method comprises the following steps: S1, constructing a distributed system architecture comprising a physical layer, a sensing control layer, a data processing decision layer, an application layer and a communication layer, and deploying equipment; s2, collecting environment, tower crane state and BIM model related multi-source data, and transmitting the data to a data fusion processing center for fusion; s3, planning an optimal hoisting path and a task sequence through the intelligent scheduling subsystem based on an ant colony algorithm; s4, a control mode is selected, a hoisting instruction is issued to execute a task, and forced braking is triggered in emergency; and S5, mapping a construction scene through a digital twin system, monitoring and alarming through an intelligent monitoring system, feeding back data to realize closed-loop optimization, and recording a digital file. According to the method, tower crane dispatching and construction efficiency is improved, construction safety is guaranteed, and intelligent construction of the fabricated building is promoted.

The invention discloses a security declaration file generation method and device, a medium and a product, and relates to the field of data processing. The method comprises the following steps: receiving a dangerous goods transportation voucher of a target dangerous goods provided by a freight station; carrying out digital preprocessing on the dangerous goods transportation voucher to obtain a standardized digital file; extracting a plurality of dangerous article field information from the standardized digital file; based on the OCR recognition accuracy, the semantic matching degree and the field integrity, determining the confidence score of the field information of each dangerous article; key field information is determined according to the confidence score; generating a potential risk score based on the key field information and the aviation dangerous goods knowledge graph; generating a comprehensive evaluation value according to the confidence score and the potential risk score; and when the comprehensive evaluation value is higher than or equal to a preset evaluation value threshold value, generating a security declaration file based on a preset airline template and the standardized digital file. The problem that the security declaration file generated by the related technology is not accurate and reliable enough can be relieved.

A method performed by an NFT platform includes generating NFT secondary file information relating to a digital file and the NFT, wherein the NFT secondary file information comprises a content ID of the digital file stored in a data storage, wherein the data storage is a permanent and immutable data storage. The method may also include the NFT platform generating an NFT metadata file comprising the content ID of the digital file stored in the data storage, storing the NFT metadata file and the NFT secondary file information in the data storage, generating a smart contract of the NFT comprising a link to a content ID of the NFT metadata file stored in the data storage, and deploying the smart contact to a distributed ledger system.

The invention discloses a pet personalized physical rehabilitation method and system based on multi-modal data fusion. The method comprises the following steps: establishing a digital file of a target pet; according to the method, multi-modal data such as behavior characteristics and physiological indexes are fused, and the space-time correlation is mined by using a multi-head self-attention mechanism, so that the limitation of a single data source can be overcome, the pain level and the joint limitation degree of the pet can be accurately identified, and an objective basis is provided for scheme formulation; based on medical history and rehabilitation sensitivity base lines in a pet digital file, in combination with real-time environment and expression recognition, rehabilitation strength, frequency and aromatic therapy formula are dynamically adjusted, accurate rehabilitation of'one pet and one strategy 'is achieved, and secondary damage or stress to pets caused by a standardized process is avoided; and in combination with expert-algorithm closed-loop verification and concept drift detection, the system can automatically adapt to new cases and environment changes, and the accuracy of rehabilitation effect evaluation and the scientificity of scheme recommendation are continuously improved.

Methods and systems for rendering two dimensional representations are described. These include receiving a digital file including data of a structure comprising floors and objects, extracting, from the digital file, a first aspect associated with an object included in the at least one floor and a second aspect associated with the object, mapping the first aspect extracted from the digital file to a drawing layer, generating a first plurality of drawing files from data representing the floors of the structure, generating from the first plurality of drawing files, a second plurality of drawing files corresponding to data representing visual-graphic characteristics of the objects and the plurality of floors and a third drawing file representing perimeter characteristics of each floor, generating a geometric feature file using the third drawing file, and rendering a two-dimensional representation of the structure using the second plurality of drawing files and geometric feature file.

The invention discloses a digital twin voltage monitoring method and system for a distribution line. The method comprises the following steps: firstly, calibrating electrical parameters of a thermal conversion probe through a temperature control box, establishing a digital file, and constructing a static digital twinborn body integrated with the file; a DTS host is used for collecting an optical fiber backscattering signal to generate a temperature profile map, and a preliminary voltage value is calculated through temperature rise after processing; based on the standard voltage true value of the anchor point probe, an error correction field is generated in combination with the spatial distance and the environment similarity, and the common probe is dynamically calibrated to obtain a final accurate voltage value; furthermore, the equipment health state diagnosis is realized by analyzing the temperature rise residual error; and finally, inputting the voltage value into the digital twinborn body to carry out load flow calculation, generating a voltage cloud picture and realizing out-of-limit early warning. The problems that an existing monitoring method has a blind area and is insufficient in precision are solved, and comprehensive sensing, accurate measurement and intelligent early warning of the voltage state of the power distribution network are achieved.

The invention belongs to the technical field of image recognition, and discloses a traditional Chinese medicine specimen collection and informatization processing method based on image machine learning, and the method comprises the steps: carrying out the multispectral collection of a traditional Chinese medicine specimen through a special collection platform, and guaranteeing the data accuracy through a black and white bottom plate and a graduated scale; carrying out geometric correction, color correction and enhancement processing on the acquired image by using an image processing technology; extracting multi-dimensional features based on an improved SIFT algorithm and a deep convolutional neural network, and constructing a specimen feature map; performing specimen attribute identification in combination with a traditional Chinese medicine knowledge base, and establishing a traditional Chinese medicine specimen informatization model; specimen recognition is realized through multi-dimensional feature matching; evaluating the growth state of the specimen in the collection environment based on the ecological adaptability model, and verifying the accuracy of the recognition result; and finally generating a traditional Chinese medicine specimen digital file containing comprehensive information. According to the invention, digitization, intelligentization and standardization of collection, identification and management of the traditional Chinese medicine specimens are realized, and the accuracy and efficiency of identification of the traditional Chinese medicine specimens are improved.

The invention discloses a mineral exploration sampling method for mineral geology, and belongs to the technical field of geological exploration. Comprising the following steps: generating a standardized alteration anomaly spatial distribution map; accurate prediction of the mineralization probability is realized, and a mineralization probability distribution diagram is generated; the sampling depth is intelligently determined by combining the alteration-mineralization space relation of the mineralization type, and an initial sampling grid scheme is formed; establishing a digital file including a coordinate position, a sampling depth and geological features for each sampling point; the on-site detection module is controlled to implement on-site sampling according to the optimized sampling grid, and an on-site detection result is obtained in real time; whenever significant deviation exists between the field detection result and remote sensing alteration prediction, the sampling point generating deviation is marked as an abnormal deviation point; if the sampling integrity does not reach the preset exploration standard, dynamically adjusting a subsequent sampling scheme and continuing sampling; and if the sampling integrity reaches the preset exploration standard, generating a final mineralization probability distribution diagram and an exploration sampling report.

An apparatus, including: a receiver; processor; distributed ledger and Blockchain technology system; and transmitter. The receiver receives a request for an e-voting ballot regarding an election. The e-voting ballot contains information regarding the elected office race or referendum issue in the election, and a link or hyperlink to information regarding a candidate or referendum issue. The apparatus receives a digital file, containing information regarding a picture, photograph, or video clip, of the individual. The processor transmits the e-voting ballot to a user device. The apparatus transmits a voter account use message and the digital file to the user device. The apparatus receives and stores information regarding a vote or votes cast pursuant to the e-voting ballot. The apparatus stores the information regarding the vote or votes cast in the distributed ledger and Blockchain technology system. The apparatus transmits a vote confirmation message to the user device.

Systems and methods for training a user to label and code digital files for three-dimensional garment design are provided. Systems and methods for collaborative refining of digital and / or physical garment prototypes are also provided.

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.

A method for executing at least a portion of a digital file including receiving one or more linguistic sections of the digital file. The method includes receiving a submission ruleset including at least one submission rule. The submission rule includes a rule criteria and a lifecycle parameter set to inactive. The method includes generating the digital file including the one or more linguistic sections. The method includes outputting the digital file and receiving a digital signature of the digital file. The method includes activating the submission rule by modifying the lifecycle parameter from inactive to active. The method includes selecting a case dataset including case data from a repository of the provider computing system. The method includes determining the case data fulfills the rule criteria. The method includes outputting the case dataset in response to the case data of the case dataset fulfilling the rule criteria of the submission rule.

The invention relates to the technical field of archive classification, in particular to an electric power customer digital archive classification method and device, electronic equipment and a storage medium, and the method comprises the steps that classification features of to-be-classified pictures are extracted, and the classification features comprise textbox positions, sizes and text information of the to-be-classified pictures; and inputting the classification features of the to-be-classified pictures to the classifier set, and obtaining corresponding classification results and labels in combination with the classification rules. According to the method, field matching and image matching are introduced, a classification rule for three-level confidence calculation is set, and an optimal classification result is preferentially output, so that the problem that classification and recognition errors are easily caused when keyword features are unstable in an existing power customer digital archive classification method is solved; the automatic power customer digital archive classification and label generation capability is provided, manual intervention is reduced, the archive classification capability is improved, and the archive classification accuracy is ensured.

Methods and systems for managing access to encrypted digital files are proposed. A remote or client device including an array of physical unclonable function (PUF) devices is provided. A server device has an image of the PUF, with previously measured responses. The server device randomly selects a set of responses from a first list PUF devices in its image. The server device then generates masking data to select among the first list to generate response bitstream. The response bitstream is used to encrypt a file, which sent to the client for storage. The random number is also sent. Later, the server generates an encrypted message digest from which the client can retrieve the masking data, which is used with the random number to generate a response bitstream from the client PUF to decrypt the file.

The invention relates to a data collaborative verification method based on intelligent AI, belongs to the field of electric digital data processing, and more particularly relates to the field of machine learning, the method comprises the following steps: obtaining a current data segment to be subjected to AI data verification, the current data segment being represented by underlying data of a customized data structure; and adopting an AI data collaborative verification model to collaboratively verify the existence of the target person in the current data segment and the existing picture sequence number based on the current data segment and the digital file corresponding to the reference figure pattern of the target person. According to the technical problem that in the prior art, the process that verification is executed through non-bottom-layer data is complex and tedious, mass images are expressed in a bottom-layer data form of a customized data structure, other basic data are assisted, and then the artificial intelligence model obtained based on machine learning is utilized; and the existence of the personnel targets in massive pictures and the synchronous intelligent verification of the specific frames where the personnel targets are located are completed, so that the technical problem is solved.

The invention belongs to the technical field of vehicle control systems, and relates to a vehicle personalized adaptation system and method, and the system comprises a sensing layer which collects a face image, a human body posture image, three-dimensional point cloud data, pressure distribution data, vehicle operation behavior data and vehicle motion state data; and the decision-making layer is used for generating static physiological feature data, dynamic behavior feature data and driving scene data based on the data acquired by the perception layer, generating or updating a personalized digital file of the user based on the static physiological feature data and the dynamic behavior feature data, and generating or updating a personalized digital file of the user based on the personalized digital file, the dynamic behavior feature data and the driving scene data. Generating a personalized parameter configuration set for a plurality of subsystems of the vehicle; and the execution layer is used for sending the personalized parameter configuration set to subsystem controllers of the vehicle, and each subsystem controller drives a physical actuator and feeds back the physical actuator to the decision-making layer. The problem that an existing vehicle safety and comfort system cannot adapt to individual differences and real-time states of different drivers is solved.

Managing access to digital files in a computing environment, including facilitating protection of digital files; including facilitating the user experience for authentication, file encryption, file decryption, dynamic read access of protected files, dynamic write access of protected files, file cache management, and logging of access and updates to the protected files.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital files in accordance with user requests. For instance, in some cases, the disclosed systems receive, from a client device, a user request for modifying a digital file. The disclosed systems generate, using a language machine learning model, a task plan having formatted code indicating one or more application programming interface calls to execute to modify the digital file. Further, the disclosed systems generate, via one or more code verifications on the formatted code, an error log that identifies one or more errors in the task plan. The disclosed systems generate, from the error log and using the language machine learning model, a corrected task plan that corrects the one or more errors. Additionally, the disclosed systems provide, for display, a modified digital file generated through execution of the corrected task plan.

An example method may comprise providing a first graphical user interface for receiving first image data, a second graphical user interface for receiving first audio data, a third graphical user interface for receiving first video data, a fourth graphical user interface for receiving a first attribute input, and a fifth graphical user interface for receiving a second attribute input. The example method may comprise generating a digital file based on the first image data, the first audio data, first video data, digital data associated with the first attribute input, and digital data associated with the second attribute input. The example method may comprise tokenizing the generated digital file to generate a non-fungible token (NFT) associated with the digital file. The example method may comprise encoding the NFT with metadata. The example method may comprise generating a sixth graphical user interface enabling updates to the metadata associated with the NFT.

A computer-implemented method involving obtaining digital representations of a patient's teeth through facial imaging and intraoral scanning. The first segmentation involves obtaining digital representations of teeth from facial images and storing them as a first digital file. The second segmentation involves obtaining digital representations of upper and / or lower teeth from intraoral scans and storing them as a second digital file. These files are aligned and overlaid to create an overlay image that can be modified by a user. The modification is applied to the overlay image while maintaining the coordinates of the modified tooth in both the first and second digital files. This method allows for more efficient and accurate digital representation of a patient's teeth, which can be used for various dental procedures.

A method and arrangement for converting a digital file into a cryptographic challenge-response-pair mechanism is disclosed. An encrypted digital file is concatenated with a random nonce and subject to one-way cryptographic functions and / or extended output functions such that a result C* is obtained having a known bit length. This result is organized into a series of addressable segments. A random seed is generated and is used to derive a random bit stream that is parsed into segments, each of which is read as an address in C*. These segments are applied as challenges to C*, and the corresponding responses may be used as or to generate or store an encryption key.

According to the assembly type inverted-T-shaped precast beam automatic scabbling equipment and the intelligent detection method, non-equal-length beam bodies are developed to manufacture templates, so that the non-equal-length beam bodies are manufactured on the same production line, and a large number of engineering templates are saved; automatic scabbling equipment is researched and developed, and rapid scabbling of the precast beam is achieved; quantification of depth, uniformity and roughness and digital index evaluation in the intelligent chiseling detection process are achieved through a laser displacement sensor and a visual sensor, equipment parameters are automatically adjusted through closed-loop feedback control when it is detected that the quality does not reach the standard, processing is achieved after discovery, automatic path planning based on a digital model is achieved, and the detection efficiency is improved. Real-time monitoring and automatic adjustment are achieved, and high automation of the whole chiseling core process is achieved; and a digital file containing key process parameters is generated for each precast beam, so that accurate quality tracing is realized.

The invention relates to a method for generating a personalized digital file. In particular, the method relates to the process of generating a file which represents a literary work, i.e. a personalized text, including corresponding and preferably likewise personalized images or drawings. The file can contain or represent the text and any images in a format which is suitable for printing or a format for electronic publishing in written form or as an audio file.

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.