25results about How to "Ensure credibility" patented technology

The invention relates to the technical field of industrial intelligent manufacturing, and discloses a digital factory-oriented dynamic energy price response type production regulation and control system, which comprises a data acquisition module, a data processing module, a model establishment module, a scale regulation and control module, an instruction verification module, a visualization module and a closed-loop optimization module, the dynamic energy price is introduced into production scheduling, so that the comprehensive energy cost is reduced; a multi-agent reinforcement learning model is adopted for real-time response; an optimization strategy is decomposed into long-term, short-term and real-time instructions, macroscopic planning is carried out by using a cloud, and accurate control is executed by relying on edges; three defensive lines of safety, feasibility and stability are set for all control instructions, so that the harm of wrong instructions is effectively prevented; a decision view and a manual intervention interface are provided to ensure the reliability and credibility of the decision; the successful scheduling case is stored in a strategy library, online fine adjustment and offline training are carried out on the core model, and the continuous evolution ability is achieved.

The invention relates to the field of medical image processing, in particular to a urinary surgery medical image intelligent processing system based on three-dimensional reconstruction, which is used for solving the problem of poor display effect of a three-dimensional reconstruction model caused by lack of deep processing of a fuzzy region when three-dimensional reconstruction is carried out on a medical image. Comprising a slice analysis unit, a fuzzy processing unit, a three-dimensional reconstruction unit, a simulation derivation unit and an imaging evaluation unit. In the process of reconstructing the three-dimensional model, a two-dimensional image is subjected to region segmentation, clearness analysis and multi-level block labeling processing, the clearness of different positions is subjected to classified management, and corresponding picture simulation correction is carried out according to the clearness of different regions, so that the accuracy of the reconstruction of the three-dimensional model is improved. Therefore, the picture is scientifically complemented through artificial intelligence, the display comprehensiveness and the display effect of the three-dimensional reconstruction model are improved, the three-dimensional reconstruction model is evaluated according to the credibility of the picture, and the overall credibility of the three-dimensional reconstruction model is ensured.

This invention belongs to the field of rail vehicle technology. It proposes a method and system for adjusting the alignment of workpieces during the intermediate stage of bogie welding. Based on the design 3D model of the bogie workpiece and the process scaling requirements, key dimensions are selected and adjusted to construct a virtual intermediate model. Feature points are collected from the key feature surfaces of the virtual intermediate model to obtain reference values ​​for each feature point. A 3D scan of the actual bogie workpiece during the intermediate welding stage is performed to acquire point cloud data. Feature points are collected and processed from the corresponding key feature surfaces of the point cloud data to obtain the actual values ​​of each feature point. By comparing the reference values ​​and actual values ​​of each feature point, the deviation of each feature point is obtained. For the key dimensions of the bogie workpiece, a scribing weight mechanism is introduced to assign weight priorities to each key dimension. Based on the deviation of each feature point and the weight priorities, the position of the baseline of the key feature surface is adjusted. This invention achieves a closed-loop process from model adaptation and data comparison to baseline adjustment.

The application discloses a kind of based on blockchain intelligent monitoring equipment security protection method and system, it is related to the field of intelligent monitoring.The application designs the dual authentication mechanism of blockchain-intelligent monitoring equipment to prevent illegal access;Based on asymmetric encryption (RSA) and symmetric encryption (AES) hybrid encryption, a monitoring data encryption storage mechanism is designed, to protect the privacy of users on intelligent monitoring equipment from being disclosed;Through blockchain technology, the interaction data of all user devices are recorded and the use rights of users are clarified, so as to prevent the data of intelligent monitoring equipment from being tampered with, and thus to ensure data credibility.Therefore, the intelligent monitoring equipment security protection method and system can effectively prevent the login authentication risk, privacy leakage risk and data tampering risk in the data access and interaction process, and improve the security of the data access and interaction process.

This invention discloses an online method and system for estimating the braking clearance throughout the entire lifecycle of an EMB system, relating to the field of braking technology for EMB systems in autonomous vehicles. The invention includes: acquiring motor current and motor angle signals of the electromechanical braking system during the braking clamping phase; constructing a current-angle regression model based on a Legendre orthogonal basis based on the nonlinear relationship between the motor current and motor angle signals; performing online robust estimation of the parameter vector of the current-angle regression model using a weighted multi-forgetting factor recursive least squares algorithm combined with an adaptive M-estimator and a two-stage estimation strategy; and mapping the parameter estimates to braking clearance estimates. This invention achieves high-precision braking clearance estimation without additional sensors based solely on motor current and angle signals through online self-learning. It maintains excellent robustness and stability under complex operating conditions and long-term operation, making it suitable for engineering applications in EMB systems.

The invention discloses a financial consultation behavior-based user portrait construction method and system, and the method comprises the steps: obtaining a user consultation log, and generating a multi-dimensional feature vector, which comprises a semantic feature vector and a behavior feature vector; performing clustering analysis on the multi-dimensional feature vectors to obtain a plurality of user prototype clusters, and constructing a probability distribution model of financial user prototypes based on the number of samples in the user prototype clusters; sampling the probability distribution model to obtain a target user prototype, and generating a primary user portrait according to the target user prototype by using a large language model; and verifying the primary user portrait according to a preset rule, and correcting the primary user portrait according to a verification result to obtain a target user portrait. According to the method, the semantic and behavior characteristics of the user consultation log are deeply fused, the potential preference of the user is captured, and the user portrait is corrected through the preset rule, so that the model illusion is effectively inhibited, and the reduction degree and credibility of user behavior simulation are improved.

The invention relates to a virtual resource delivery method and device, computer equipment and a readable storage medium. The method comprises the steps of obtaining a virtual resource delivery order uploaded by a to-be-delivered enterprise; the to-be-delivered enterprise characterizes the identity verification and authorization based on the block chain technology, and the authorized enterprise passing the identity verification carries out the uplink processing of the virtual resource delivery order, and under the condition that the hash value corresponding to the virtual resource delivery order is detected in the distributed account book, the virtual resource delivery order is sent to the distributed account book. And generating a virtual resource delivery request corresponding to the virtual resource delivery order, and finally responding to the virtual resource delivery request, and executing virtual resource delivery according to the virtual resource delivery order through a preset smart contract. According to the method, the blockchain technology is used as a technical basis for executing virtual resource delivery, so that the problems of order forgery and repeated pledge are completely eradicated, meanwhile, multiple nodes participate in the delivery process of the virtual resources, the credibility of virtual resource delivery is ensured, and thus the credibility of virtual resource delivery is improved.

The application discloses a kind of measurement system and method based on phase distribution inversion thin film material cross-scale thermal diffusivity, through unified time base and unified reference phase condition, the cooperative acquisition of macroscopic full-field lock-in observation and microscale scanning observation is realized, and the joint inversion framework of phase distribution matching and scale consistency is established, form the measurement process that can be checked, can be closed loop, to realize the thermal diffusivity of thin film material from micron to millimeter scale range in the same experimental system, efficient, stable characterization, improve cross-scale data consistency and inversion reliability, reduce the error and cost caused by repeated measurement, and enhance the adaptability to interface effect and non-uniform structure influence.For and improve the existing method, it is difficult to consider full-field positioning and microscale effect identification in the same measurement framework, the cross-scale data is not comparable due to the non-uniformity of phase reference, and the inversion stability is insufficient.

The application relates to a fund whole-process digital management and control and on-chain evidence storage method, which comprises the following steps: receiving an account adjustment operation request and analyzing the fund secret level; dynamically calling a corresponding set of security protection parameters based on the secret level; constructing a group behavior baseline model based on a privacy protection mechanism; collecting operation behavior characteristics in real time, and calculating the double-baseline deviation of the operation behavior characteristics from the individual and group baselines; fusing and judging the deviation according to a preset threshold to determine a risk level; executing a graded disposal strategy corresponding to the risk level, and synchronizing whole-process key data to a block chain node for evidence storage. The application realizes the online of the whole process of secret fund account adjustment, the intelligentization of risk research and judgment, and the trustworthiness of operation traces, and achieves the comprehensive effects of improving disposal efficiency, strengthening active risk control, ensuring the consistency of accounts and facts, and meeting the requirements of judicial audit level traceability.

The application discloses an advertisement operation settlement system and method based on a smart contract, relates to the technical field of advertisement settlement, and comprises the following steps: collecting original advertisement effect data in an advertisement putting process, performing local preprocessing, generating an advertisement effect data abstract, inputting the advertisement effect data abstract into a decentralized Oracle network, performing cross verification through multiple independent Oracle nodes, generating an aggregated signature by using a threshold signature algorithm after reaching a consensus, and uploading the aggregated signature to an on-chain smart contract; and performing anti-fraud filtering on the original advertisement effect data by a media party, screening out valid advertisement interaction data, generating zero-knowledge proof by using a cryptography algorithm, and uploading the zero-knowledge proof to the on-chain smart contract; reliable verification of key settlement data is realized on the premise of protecting data privacy, advertisement settlement can be automatically triggered and completed on the basis of multi-party trust, and therefore the safety, transparency and execution efficiency of advertisement operation settlement are improved.

The application provides a network node state data trusted algorithm determination method and system, the method comprises the following steps: the security state agent of each network node obtains the available security algorithm information of the local XFRM framework through a Netlink interface, and generates local state data with a unique node identifier and a version number; the state data is synchronized with neighbor nodes by using a Gossip protocol, version number, integrity and multi-source consistency verification are performed on the received data, and the algorithms corresponding to the same state data from at least two non-direct neighbor nodes are marked as cluster trusted algorithms; and a trusted algorithm list is generated for the local IPsec process to query for security association negotiation. The application realizes dynamic discovery and trusted synchronization of cluster security algorithms, adapts to edge nodes and multi-region cluster scenarios, guarantees synchronization reliability and security, and does not affect the running performance of the cluster.

This invention relates to the field of cloud security technology and can be applied to financial technology and other businesses. It discloses a data security sharing method based on a distributed architecture, comprising: treating a data holding institution as an independent node in the system; generating registration information based on the independent node and its local dataset, and storing the registration information on a blockchain; training an initial model and calculating its gradient based on the encrypted local dataset; encrypting the model gradient and uploading it to the system; aggregating and decrypting all encrypted gradients through a secure aggregation protocol to generate an aggregated gradient; updating the initial model based on the aggregated gradient to generate a global model; performing a hash operation on the global model to generate a summary result; controlling the access permissions of the global model through the result summary and smart contracts; authorizing users to call the global model for secure data sharing based on the access permissions; storing the data sharing information in an audit log and writing the audit log to the blockchain.

The invention provides a farmland surface disturbance and desertification monitoring method and system based on multi-modal remote sensing, and the method comprises the steps: obtaining a remote sensing image, carrying out the preprocessing of the remote sensing image, dividing the obtained multi-modal dual-temporal remote sensing image, constructing a Token sequence, inputting the Token sequence into a Transform backbone network, and carrying out the feature extraction, and obtaining an optical modal feature and an SAR modal feature; a low-rank adapter is introduced into an attention module of the network, gradient contribution is regulated and controlled based on modal deviation fractions, and cross-time-phase differential change features are constructed and fused to obtain fusion features; and generating a change probability graph, applying an optical and SAR prediction result consistency constraint, and outputting a final change detection result. According to the method, the fusion balance of optical and SAR features is remarkably improved through a modal depolarization LoRA fine tuning mechanism, so that weak modal information is fully expressed; and meanwhile, a cross-modal consistency constraint is introduced to ensure that a change detection result has consistency and credibility.

This invention discloses a data governance and application system and method for construction land approval, supply, and use based on an authorization chain, belonging to the field of construction land data management technology. This invention uses electronic supervision numbers to link approval data, supply data, and ownership change registration data to generate a data chain; it performs time-series and integrity checks on the data chain; analyzes abnormal features in the data chain and analyzes comprehensive problem indicators based on these abnormal features; it corrects the data in the problematic time-series chain; it analyzes the matching of approved and supplied land parcels and generates preliminary matching pairs based on the matching results; it analyzes the confidence index of each preliminary matching pair; it filters the preliminary matching pairs based on the confidence index; it classifies land parcels into idle risk warning levels based on a land idleness sensitivity index; and it divides land parcels into spatial clustering patterns using a local Moran's index, sending the division results to the administrator. This improves data reliability and reduces the risk of misjudgment.

The invention discloses a new energy battery recovery system and method based on the Internet of Things. The system comprises a data acquisition layer, an edge calculation layer and a cloud platform layer. The data acquisition layer acquires key parameters of a battery in a running state, a charging state and a standing state in real time through an integrated embedded sensor, and uploads the key parameters to the edge calculation layer and the cloud platform through the Internet of Things; the edge calculation layer adopts a dynamic self-adaptive strategy, filters noise in combination with a TS-SFEA algorithm, analyzes voltage-temperature collaborative change by a Pearson's correlation coefficient, constructs a battery health state parameter matrix, and inputs a pre-training model to predict residual life and health level; the cloud platform layer integrates production and use historical data, records full life cycle information of the battery through a block chain technology, and generates an echelon utilization score and a recovery value index based on an AI evaluation model; and when the cycle count is greater than or equal to 500 times, the system triggers a health state reestimation mechanism, and dynamically updates an OCV-SOC mapping table and a parameter matrix to ensure the timeliness of an evaluation result.

The application relates to the technical field of agricultural product traceability, and in particular to an agricultural product traceability method and system based on Internet of Things technology.The method comprises the following steps: obtaining traceability full-link nodes of agricultural products; collecting agricultural product traceability data of each node; performing first re-encryption processing on the collected agricultural product traceability data to generate encrypted traceability data; uploading the encrypted traceability data to a block chain network for notarization and generating a block chain notarization hash value; obtaining device identifiers of Internet of Things collection devices corresponding to each node; generating an agricultural product unique traceability identifier based on the block chain notarization hash value and the device identifiers; receiving a traceability query request of a user; based on the agricultural product unique traceability identifier, corresponding encrypted traceability data is called from the block chain network; the called encrypted traceability data is decrypted, and decrypted agricultural product traceability data is obtained.The application helps to improve the credibility and authenticity of agricultural product traceability information.

The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method based on a relay chain technology, and relates to the technical field of cross-chain asset transaction methods. The application discloses a privacy protection cross-chain asset transaction method

The application relates to an intelligent toy with a child cognitive ability evaluation capability and an evaluation method thereof, and belongs to the technical field of intelligent toys, which comprises a toy body, a function module and a multi-modal sensor array, the toy body is a cuboid base suitable for being gripped by children, and the function module and the multi-modal sensor array are integrated in the toy body. In the application, a standardized cognitive evaluation task is ingeniously embedded in a children's game, rich data are collected in a natural situation by using a highly integrated multi-modal sensor, and the data are converted into scientific evaluation results by a cloud intelligent algorithm, the application solves the problems of a depressing environment, single data and non-sustainable problems in a traditional evaluation mode, realizes evaluation in the form of play, and provides an objective, convenient and professional children's cognitive development tracking and support tool for families and early education institutions.

This invention relates to the field of intelligent connected vehicle (HDV) and traffic flow cooperative control technology, and discloses a method, apparatus, equipment, and medium for calculating the capacity of mixed traffic flow. This invention uses prospect theory to characterize the driving cooperation intentions of human drivers during car-following, and simultaneously predicts the congestion situation of the mixed traffic flow to be measured using a pre-set Markov chain model. Furthermore, by combining the predicted congestion state, the capacity of the mixed traffic flow to be measured can be calculated. Therefore, by implementing this invention, which fully combines prospect theory and Markov chain model, not only are the car-following behavior preferences of HDV drivers considered, but the temporal distribution characteristics of traffic congestion states are also described, ensuring the reliability and usability of the calculation results.

The application discloses a LISS full-cycle agricultural planning support system, a core model construction module of the planning support system realizes multi-model collaborative operation through a GIS space model, an agricultural economic model, an AI prediction model and an adaptation adjustment module; an application service module provides scheme generation, conflict early warning, benefit evaluation and dynamic deduction; and a closed-loop optimization module realizes whole-process iteration of design-deduction-feedback-optimization. The application can realize intelligent decision support for the whole life cycle of agricultural planning, covers multi-model collaborative operation, economic-social-ecological comprehensive evaluation and dynamic adaptation of regional characteristics. The core model construction module of the application binds GIS layers and agricultural economic decision variables in real time with unified land space-time coding; a GIS output constraint matrix is injected into the economic model, and the optimization result is reversely marked back to the GIS; an AI prediction model predicts production capacity and price accordingly, and deviation is corrected by weight after adaptation adjustment, so that the three aspects are simultaneously converged, and the existing system problems are solved.

The application discloses a high-precision three-dimensional vision system based on multi-camera time-sharing acquisition to improve acquisition frequency, and relates to the technical field of three-dimensional vision, comprising: a time-sharing synchronous control module, which is used for generating and outputting a group of trigger signals with precise time sequence offset; an image acquisition unit array, which is composed of at least three spatially distributed image acquisition units, each unit responds to the trigger signal, and sequentially opens its image sensor for image acquisition within a unified system acquisition cycle, and the acquisition windows of each unit do not overlap in time; a time-sharing acquisition cooperative scheduling module, which is used for dynamically solving and assigning the mutually exclusive acquisition window parameters of each image acquisition unit within the acquisition cycle according to scene motion speed, illumination change and system state. The application solves the problem that the existing three-dimensional vision system is difficult to consider high frequency and high precision use scene.

The invention relates to the technical field of electric power system automation control and distributed energy network, in particular to an electric power energy storage optimal configuration system and method based on decentralized control, and the method comprises the steps: building communication connection between decentralized control agents; initializing and setting a Lyapunov stability constraint boundary and a game vulnerability threshold value; in response to a trigger signal of a current control period, executing the following decentralized optimization process: acquiring operation state data of a local energy storage unit, and receiving interaction state data broadcasted by an adjacent node; resolving a collaborative game vulnerability index of the current network node; removing abnormal interaction data with false data injection features, and generating a cleaned credible data set; according to the method, the defect that hostile attacks and normal physical fluctuations are difficult to distinguish by a traditional threshold method is overcome, and the authenticity and credibility of a data set on which optimization configuration depends are ensured.

The invention relates to the technical field of carrier safety, and discloses an accompanying equipment white list self-learning method and system for a mobile carrier, and the method comprises the steps: monitoring a static state and a geographic position of the mobile carrier, and carrying out the condition conformity judgment of the static state and the geographic position, so as to trigger the mobile carrier to enter an automatic learning mode; analyzing equipment identifiers of wireless signals emitted by accompanying equipment around the mobile carrier, and performing time-frequency domain conjoint analysis on the wireless signals to obtain intensity and an occurrence rule; performing multi-dimensional credibility evaluation on the accompanying equipment to obtain a candidate credibility score; based on the candidate trust degree score and a preset trust threshold value, determining a high-credibility candidate device; carrying out strategy directional preferential selection on the high-credibility candidate equipment to obtain a white list adding strategy; performing white list updating operation on the mobile carrier; according to the invention, the accompanying device white list self-learning efficiency for the mobile carrier can be improved.

This invention discloses an accounting simulation teaching system and method based on virtual reality and knowledge graphs. The system includes: a virtual reality module for constructing an immersive accounting practice environment; a knowledge graph module storing entities, relationships, and rules constructed based on accounting standards and business logic for logical verification of user operations; and an error handling and reinforcement learning subsystem, which includes: an error recording unit for capturing and storing the error's operational context information when a user operation is determined to be erroneous by the knowledge graph module. This invention has the advantages of strong immersion, real-time and accurate feedback, personalized teaching paths, structured knowledge system, and a trustworthy and collaborative learning process.