248 results about "Source Data Verification" patented technology

The application discloses a kind of based on transparent soil and pile-soil interface micro evolution measurement method of multi-source sensing, it is related to geotechnical engineering test field.The present application includes the following steps: constructing transparent soil model, pile body pre-embedded sensor arrangement, multi-source sensor calibration and parameter optimization, load application and multi-source data acquisition, improved DIC algorithm's pile-soil interface micro displacement calculation, pile-soil interface pore and particle density calculation, multi-source sensing data's heterogeneous fusion, pile-soil interface micro evolution characteristic quantitative inversion and visualization, test end and data verification.The present application simulates real soil environment by constructing transparent soil model, in combination with image recognition, digital image correlation, fiber-optic sensing and resistance sensor and other multi-source sensing technology, the micro deformation, stress distribution and failure evolution process of pile-soil interface in loading process are monitored and analyzed in real time with high precision, realize the high-precision, full-process, visual measurement of pile-soil interface micro evolution, improve measurement precision.

The present disclosure relates to a data verification correction method and device, medium, electronic equipment and program product, and relates to the field of data processing. The method comprises: obtaining actual energy consumption data in the process of coal mining; inputting target coal production into a data relationship model to output reference energy consumption data corresponding to the target coal production through the data relationship model; the data relationship model is a data relationship model of coal production and energy consumption data; determining whether the actual energy consumption data is an outlier according to the deviation value of the actual energy consumption data and the reference energy consumption data; in the case that the actual energy consumption data is not an outlier, determining that the actual energy consumption data is valid data; in the case that the actual energy consumption data is an outlier, replacing the actual energy consumption data with the reference energy consumption data. Through verification and correction of energy consumption data in the process of coal mining, accurate data basis can be provided for carbon emission accounting, and the accuracy of carbon emission accounting can be improved.

A data registration apparatus (200) processes original data saved in a data source and registers the processed data. A data verification apparatus (300) computes a digest value of reference combined data which is generated based on a digest value of the original data and a digest value of the processed data as a reference digest value. The data verification apparatus computes a digest value of the registered processed data as a provisional digest value, retrieves digest value saved in the data source as a provisional digest value, computes a digest value of verification combined data which is generated based on the provisional digest value of the original data and the provisional digest value of the processed data as a verification digest value, and compares the verification digest value with the reference digest value.

The application discloses a data verification system implementation method based on a block chain and zero-knowledge proof. In the data verification stage, the data use end pays the corresponding data verification fee to the on-chain smart contract according to the verification requirement, and the demand satisfaction and data real possession are verified through the interaction with the smart contract; in the data declaration stage, the data owner carries out the Merkle tree on the data and generates the characteristic zero-knowledge proof, and the on-chain verification and evidence storage of the data are completed through the interaction with the smart contract, and in the data verification stage, the data owner responds to the challenge of the data real possession, generates the existence proof of the challenge data block set and carries out the on-chain verification and evidence storage, so that the data verification can be independently executed without relying on the third-party service executable environment or the trusted hardware, the independence and safety of the data verification are ensured, and in the whole data real possession verification process, the data is always saved in the local security environment of the data owner, and the complete non-flow of the data is realized.

The application discloses a kind of emotion evaluation and intervention method and system based on multi-modal data.Through terminal synchronous acquisition voice, face, screen tremor and so on multi-modal data;Reaction mode vector is generated based on context information and data verification fusion;The composite emotional state of user is determined using emotional emergence model.At the same time, personalized emotional causal diagram is constructed and updated, and the enhanced state vector is generated by extracting key causal path features.The vector is input into the intervention agent to output intervention actions;After execution, the emotional state is evaluated again and the reward is calculated, and the system model is updated online.The application realizes accurate emotion evaluation and closed-loop adaptive intervention that strikes the root.

The present application relates to the technical field of data security, in particular to a serialization traceability data verification method based on block chain, comprising: collecting physical features of labeling and packaging equipment to generate a dynamic capture pulse entropy source, and constructing a label sequence identity coupling fingerprint containing instruction stream bias and physical state texture; combining traceability code and action time offset to perform XOR packaging to generate label sequence instantaneous credentials, and introducing historical feedback values to generate label sequence topology entropy chain through hash iteration; using distributed ledger consensus nodes to analyze the entropy chain, verifying the extracted logical feature vector and hardware base state characteristics, comparing the global state root closed loop to generate a logical anchor credential, and triggering asynchronous evidence storage accordingly. Through the deep coupling of physical entropy source and recursive topology chain, the present application realizes cross-dimensional verification of equipment identity, action timing, and physical terminal and block chain nodes, ensuring the authenticity and non-tamperability of traceability data in the generation and circulation process.

The application relates to the technical field of intelligent data analysis, in particular to a questionnaire data intelligent analysis processing system based on a large language model, which comprises a target analysis module, a dynamic coding table construction module, a coding table optimization module, an automatic coding mapping module, a verification and retry processing module and an intelligent analysis module. The core target and analysis dimension are identified by relying on a context perception algorithm, coding instructions are dynamically constructed, preliminary coding is completed in parallel in fragments, the coding structure is optimized through logical verification and semantic deduplication, and automatic coding mapping of full-quantity questionnaire data is completed. Through multiple rounds of data verification combined with an exponential backoff strategy, error data retry coding is completed, and out-of-limit abnormal data is marked, cross analysis and deep correlation analysis are carried out in combination with a preset framework. The scheme realizes adaptive adjustment of questionnaire coding and closed-loop processing of data errors, improves the standardization of questionnaire data coding, and stabilizes the operation quality of data analysis.

This invention relates to the field of data verification technology, and particularly to a method, apparatus, device, and storage medium for rapid geometric verification of hyperspectral data. The method includes: acquiring a high-resolution visible light area array image and preprocessing it to obtain a visible light orthorectified image; acquiring a raw hyperspectral image and performing coarse geometric correction to obtain a coarsely geometrically corrected hyperspectral orthorectified image; performing feature extraction and matching processing on the two images obtained above, constructing a large number of pseudo-control points based on the matching results to obtain a set of point pairs including geographic coordinates; calculating the true scan vector of each scanned pixel in the coordinates of a digital land model, and calculating the corresponding geographic coordinates; constructing a cost function based on the set of point pairs and the calculated geographic coordinates; and iteratively solving the hyperspectral geometric verification parameters with the goal of minimizing the cost function to perform geometric correction on the raw hyperspectral image. The method disclosed in this application can significantly improve the efficiency of geometric verification and reduce the verification cost.

This invention relates to an image-based configuration file embedding and recovery system for industrial vision software. The system includes a configuration data processing module, an encryption / decryption module, an image embedding module, an image output module, an image acquisition and recognition module, a configuration recovery module, a scene restoration module, and a data verification module. The core innovation lies in using images as the storage and transmission medium for configuration files. Through a composite embedding method of "customized QR code + LSB steganography," standardized and encrypted configuration data is embedded into the carrier image to generate an embedded image. This invention features high robustness, high security, and ease of operation, and can adapt to complex industrial environments, significantly improving the deployment and maintenance efficiency of industrial vision systems.

This invention discloses a data verification method, apparatus, and related equipment. The method includes: configuring data verification rules that support multiple data sources based on business requirements, wherein the multiple data sources include at least two data source types among file, single table, cross-table, and cross-database; acquiring the data change trend of the business data within a preset historical time period, and dynamically adjusting the data verification rules based on the data change trend using an adaptive rule engine; loading the adjusted data verification rules to perform data verification on the data to be verified, and generating data verification results.

An authorization system for data verification and approval in a communication platform is disclosed. The system includes a workflow engine comprising one or more processors and at least one storage element for storing instructions. The workflow engine maintains a client identifier associated with the communication content. A client device communicates with the workflow engine. The communication platform receives communication content generated by a computer system and encrypted by the workflow engine. The encrypted communication content is visually encoded as an authentication image and displayed within the communication platform. An electronic device also communicates with the workflow engine and includes an authentication identifier reader. The reader decrypts the client identifier from the authentication image, and the decrypted client identifier is verified by the workflow engine to authenticate the intended user. The authenticated communication content is displayed on the client device, and authorization to access the communication content is transmitted to the workflow engine.

This invention discloses a method, system, and storage medium for verifying instrument data records. Based on a received data verification command, each record in the instrument data record table is sequentially retrieved. The corresponding screen layout information is retrieved from the instrument information database according to the instrument model. Then, the display features in the screen image are identified and analyzed, and compared with the screen area shape and measurement data layout information stored in the instrument information database. If they are not similar, an instrument model entry error message is triggered. If they are similar, the identified instrument measurement parameters are compared with the recorded parameters in the data record. If they are not the same, a measurement parameter entry error message is triggered. By using screen image content to automatically verify and verify the instrument model and measurement parameters in electronic experimental records, the inefficiency and error-prone nature of existing manual verification methods are overcome.

The application provides an RFID tag identification control method for transformer information collection, and belongs to the technical field of tag identification control, which comprises the following steps: 1, real-time detection and feature analysis of electromagnetic interference on the RFID reader for transformer information collection; 2, parameter self-adaptive adjustment of the RFID reader for transformer information collection; 3, multi-antenna collaborative identification control of the RFID reader for transformer information collection; and 4, data transmission and verification optimization of the RFID reader for transformer information collection. Through the collaborative control strategy of dynamic interference detection, self-adaptive parameter adjustment, multi-antenna collaborative identification and data verification optimization, stable, long-distance and high-success-rate identification of the RFID tag in a strong electromagnetic interference environment is realized.

The embodiment of the application provides a kind of digital certificate application verification method, signature data verification method, device and equipment, it is related to digital signature technical field.The method comprises: in response to the digital certificate application of certificate applicant, and the corresponding certificate application request data and certificate application cooperation data are acquired;Digital certificate application is carried out multiple verification operations based on certificate application request data and certificate application cooperation data;In the case where all verification operations are verified, the digital certificate is issued to certificate applicant.This embodiment of the application can realize the function of the third party password cooperation service verifiable by increasing certificate application cooperation data and other information in digital certificate application, so as to meet the needs of different private key holding mode certificate application to implement differentiated verification management.

This invention discloses a computing power multiplication pre-storage system, method, and embedded device, belonging to the field of computing architecture and data reuse technology. Addressing the problems of redundant repetitive computation, conflict risks and irreparable damage in data integrity verification, and inefficient request-response modes in existing technologies, this invention proposes a closed-loop "pre-storage-reuse-verification" system. The system includes: a hotspot identification and adaptive pre-storage module, used to identify high-frequency computing tasks, dynamically adjust the pre-storage range, and automatically eliminate low-frequency data, achieving self-evolution and convergence of the data set; a multi-level trusted caching module, adopting a layered storage architecture to achieve layered management of data value, and possessing automatic backfilling between layers, periodic consistency verification, and automatic repair mechanisms; a mathematically based integrity verification module, configuring corresponding differential or recursive verification logic for a wide range of computing tasks, from basic data types and various mathematical functions to operational operators, providing a zero-conflict, reversible, and repairable lightweight data verification and restoration method; and an asynchronous push processing engine, which immediately returns after receiving a request, submitting the computing task to a background lock-free queue for batch processing, achieving decoupling between computation and requests. This invention pioneers the deep integration of differential verification and computation acceleration, reconstructing the traditional "request-computation-response" logic into a "pre-store-query-retrieve" push-pull interaction logic. By reusing repeated calculations through module collaboration, it not only significantly reduces computation latency, but more importantly, it improves the effective utilization of computing power, greatly saves hardware resources and energy consumption, and ensures data credibility and integrity. It is applicable to fields such as artificial intelligence, scientific computing, engineering simulation, financial technology, and video processing.

The application discloses a data integrity multiple verification method and system of a double-channel safety control system, relates to the technical field of data verification of safety control systems, and comprises the following steps: performing inboard double-channel cross voting on input signals obtained by double channels of a board card, performing one cycle redundancy check on voting result data, and performing cycle redundancy check code packaging based on a communication protocol to obtain a protocol data packet containing double cycle redundancy check codes; performing secondary cycle redundancy check based on the double cycle redundancy check codes after analyzing the protocol data packet in a main control board to obtain effective data; performing cross check and voting on the effective data of double channels of the main control board to generate a channel local voting result; performing board card level check on the channel local voting result and then performing global check, judging global data consistency based on a global check code, and identifying system faults. The application improves the comprehensiveness and effectiveness of data check, and solves the problem that single point faults or data errors cannot be avoided.

The network threat knowledge graph construction method and related equipment provided by the embodiments of the present application comprise: obtaining report image data and report text data from a same network attack report, and respectively performing classification mapping on the report image data and the report text data based on a threat intelligence type set to obtain image categories and text categories; performing content extraction on the report image data based on the image categories to obtain image entity relationship data, and performing content extraction on the report text data based on the text categories to obtain text entity relationship data; performing alignment verification on the image entity relationship data and the text entity relationship data belonging to a same network threat type to obtain an alignment verification result; when there is a difference between the image and text data in a representation entity data verification group, performing multi-dimensional conflict processing to obtain target entity relationship data, and constructing a network threat knowledge graph, thereby effectively improving the data accuracy of network threat knowledge graph construction.

The application discloses a power consumption data verification and repair method and device, equipment and medium, which are applied to a power data processing system, and relate to the field of smart power grids. The method comprises the following steps: receiving user power consumption data of a target user collected by a preset collection terminal, and predicting the power consumption data of the target user by using a target power consumption prediction model; determining a current target power consumption dynamic threshold based on obtained target predicted power consumption data and historical power consumption data of the target user, and determining whether a target difference between the user power consumption data and the target predicted power consumption data is greater than the target power consumption dynamic threshold; if the target difference is greater than the target power consumption dynamic threshold, performing abnormal analysis on the user power consumption data to determine an abnormal type of the user power consumption data, and performing corresponding abnormal alarm based on the abnormal type; and performing data repair on the user power consumption data based on the abnormal type to obtain repaired user power consumption data. Therefore, automatic abnormal identification and repair of power data can be realized.

This invention discloses a dynamic payroll calculation method and system for the entire business chain based on AI rule adaptation. The invention acquires end-to-end data through a bidirectional linkage data acquisition module and performs reverse integrity checks; it uses a feature extraction model to categorize orders into existing scenarios or cluster new scenarios; it establishes a scenario-rule association through an AI rule adaptation engine, autonomously matching scenario-based payroll calculation sub-rules; after fingerprint and logical cross-verification by multi-source heterogeneous modules, the AI ​​engine performs dynamic payroll calculation; for results exceeding abnormal thresholds, it initiates reverse backtracking self-correction or hierarchical early warning, and completes autonomous rule iteration. This invention breaks through the static and fixed payroll calculation framework, achieving intelligent adaptation to business scenarios, automatic cross-domain data verification, and closed-loop self-correction throughout the entire process, significantly improving payroll calculation accuracy and automation.

The present application relates to the technical field of remote sensing information extraction and snow monitoring, and particularly relates to a sub-pixel snow mapping method based on medium-resolution remote sensing data, comprising the following steps: obtaining medium-resolution remote sensing images, a digital elevation model, and ground meteorological station snow observation data, and preprocessing the remote sensing images to obtain surface reflectivity; identifying cloud-covered pixels, filling in the cloud-free dataset by temporal and spatial interpolation and ground object spectral similarity matching; selecting snow, vegetation, and water as spectral endmembers and extracting features; constructing a linear mixing model, and using the least square method to retrieve the snow proportion in the pixel to obtain preliminary data; and generating a high temporal and spatial accuracy snow distribution map through meteorological station data verification, digital elevation model terrain correction, and model parameter optimization, which solves the problems of mixed pixels, cloud coverage, terrain errors, and the lack of accuracy verification.

This specification discloses a method for air-to-ground transmission of flight record data with high temporal integrity, comprising: encapsulating target data to obtain a data assembly containing a header information portion, a data content portion, and a tail information portion; enabling the ground subject to perform data verification operations based on the header information portion and / or the tail information portion after receiving the data assembly; comprising: decomposing the target data into data packets; calculating the feature value of any data packet and determining the flag bit of the data packet for each data packet; setting the header information portion of the first data packet to preset information for the first data packet; using the feature value and flag bit of the previous data packet as the header information portion for any non-first data packet; generating a check code corresponding to the combination of the header information portion and the data content portion as the tail information portion; and forming a data assembly containing the header information portion, the data content portion, and the tail information portion.

This invention discloses an integrated management and control method for the entire sales settlement process based on table-valued parameters, belonging to the field of sales settlement management technology for industrial enterprises. This invention adopts a back-end-heavy, front-end-light architecture, using custom table-valued parameters as a unified data transmission carrier to batch transmit core information such as settlement order numbers, finished product roll numbers, and final unit prices. A single stored procedure centrally manages all business operations, including settlement order binding, unit price modification, and status updates. The front-end is only responsible for interface display and unified interface calls, without handling complex business logic. The back-end incorporates centralized data verification and database atomic transaction control to ensure data consistency, while supporting multi-dimensional combination filtering, batch selection of roll numbers, and automatic weight and amount statistics. This invention solves the pain points of traditional settlement systems, such as fragmented logic, high coupling, inefficient batch operations, and data error susceptibility. It has been fully implemented and is running in actual industrial MES / ERP integrated systems, possessing advantages such as stable architecture, efficient operation, long-term iterative capability, and strong scalability, making it suitable for the standardized and intelligent management needs of sales settlement in manufacturing enterprises. This technical solution is not a theoretical model, but a mature technical solution that has been fully engineered, developed, and stably run in actual industrial manufacturing enterprise MES / ERP integrated systems.

This application discloses a multi-system collaborative data processing method, system, device, and medium, relating to the field of information technology. The method includes: acquiring business data streams transmitted between various production and sales systems; performing a consistency comparison on the business data streams based on a preset first verification rule to generate a data verification result; performing anomaly condition judgment on the business data streams based on a preset second verification rule to generate anomaly identification information; performing a repetitive identification operation on the business data streams based on a preset third verification rule to generate an interception control command; and controlling the corresponding production and sales systems to perform corresponding data processing operations based on the data verification result, the anomaly identification information, and the interception control command.

The embodiment of the specification provides a data verification processing method and device, wherein the data verification processing method comprises the following steps: in the process of verifying the object text of a transaction object, the object text of the transaction object is input into a processing model to select a data service and generate a service parameter, the data service and the service parameter are obtained, the data interface of the data service is called through the service parameter as an interface input parameter to obtain data, verification data is obtained, the object text and the verification data are input into a large language model to perform data verification, and the verification of the object text of the transaction object is realized by means of the large language model and the data service.

This invention provides a blockchain-based data verification method and apparatus, relating to the field of blockchain technology and applicable to the financial technology field or other technical fields. The blockchain-based data verification method includes: receiving data verification information from a client; wherein the data verification information includes data to be tested, a data model, an expected value, and an error value; determining the actual data based on the data to be tested and the data model; determining the verification result based on the actual data, the expected value, and the error value; and sending the verification result to the client. This invention can achieve data validity evaluation while protecting the privacy of the data holder's data.

This invention relates to the field of crude phenol refining technology, and discloses a method and apparatus for intermittent refining process control and online automatic detection of crude phenol. It utilizes an online automatic sampling circulation system, which overcomes the vacuum negative pressure condition of the production system through an explosion-proof metering pump, pressurizing, filtering, and isothermal heating the sample to establish a forced circulation loop to prevent crystallization and blockage by high-viscosity materials. Using an online automatic detection circulation system, and equipped with a dual-flow gas chromatography and automated experimental module, it synchronously detects component concentration, trace moisture, pigment color difference, and antioxidant properties in real time. After data verification by the central control system, the distributed control system automatically adjusts the reflux ratio, outflow rate, and heating power of the distillation column based on cascade feedback, dynamic dead zone, and variable decoupling strategies. This invention solves the problem of difficulty in synchronously detecting multiple indicators online, realizes closed-loop control of the entire crude phenol refining process, and significantly improves product quality stability.