19results about How to "Traceable" patented technology

The application provides a consumer rights protection intelligent review method and system based on a large language model, and relates to the technical field of artificial intelligence and natural language processing. The method comprises: preprocessing a text to be reviewed to obtain structured text feature data; using a pre-trained large language model to perform semantic understanding on the structured text feature data to obtain a text semantic vector containing domain semantic information; performing joint retrieval and matching on the text semantic vector in combination with a knowledge graph and a rule base to identify and output a risk element set; and performing compliance determination based on the risk element set to obtain a preliminary review conclusion containing a risk level, evidence sufficiency, rule matching degree and benchmark confidence. The application automatically converts an original text into a high-confidence review conclusion with explainability through intelligent processing of the whole process.

The invention provides a large model event analysis enhancement method based on multi-dimensional retrieval enhancement generation, and relates to the technical field of artificial intelligence and information analysis crossing. After to-be-retrieved information is obtained, on one hand, a network retrieval result is inquired on a network, an image-text consistency evaluation result and a semantic authenticity evaluation result are obtained according to the network retrieval result, and first corpus data are obtained by integrating the network retrieval result, the image-text consistency evaluation result and the semantic authenticity evaluation result; on the other hand, the to-be-retrieved information generates retrieval vectors in multiple dimensions, a knowledge retrieval result of each dimension is obtained through retrieval in a corresponding preset knowledge database, and the knowledge retrieval results of multiple dimensions are integrated to obtain second corpus data. And combining the first corpus data and the second corpus data to obtain an enhanced corpus, and taking the enhanced corpus as semantic data to be analyzed by a large model. When a large model executes an analysis task by using the semantic data provided by the scheme of the invention, an analysis result with higher credibility can be obtained.

This invention discloses a dynamic evaluation method for logistics credit scores that integrates transaction behavior and multi-party evaluations. It relates to the field of credit evaluation data processing technology and includes: acquiring the carrier's entity data, transaction behavior data, multi-party evaluation data, and performance process data to generate the entity's transport record; generating performance stage records based on the performance process data; extracting performance scenario features from each performance stage and mapping them to failure exposure opportunity types to generate exposure identification results; differentiating between basic performance records and exposure-type credit evidence based on the exposure identification results; updating the logistics credit score based on the basic performance records, exposure-type credit evidence, exposure intensity level, and evidence credibility; further revising the mapping rules and acceptance rules using performance feedback results from subsequent transport tasks; and distinguishing between ordinary completion records and credit evidence formed through capability exposure scenarios to improve the accuracy of the logistics credit score in evaluating the carrier's true performance capability.

This invention discloses a federated learning method based on group signatures, smart contracts, and a distributed file system (DFS) to hide data source information, relating to the field of computer cryptography. This invention utilizes smart contracts to manage members of each group. Each group member completes model training using its local data to obtain model parameters. These parameters are then encrypted using group signatures and uploaded to the DFS to obtain the DFS address. The encryption key and DFS address are then encrypted and group-signed again via a smart contract and uploaded. The central server decrypts the DFS address and key to obtain the DFS address, downloads the encrypted model parameters from the DFS, and decrypts them using the key to obtain the model parameters uploaded by each group member. These parameters are then aggregated and updated to obtain the improved global model. This invention effectively protects the privacy of data providers, ensuring the protection of data source information for both parties during the federated learning process.

The application relates to the technical field of data processing, and provides a business processing method, device and equipment under a parallel architecture of a new system and an old system. The method comprises the following steps: receiving a processing request; according to a shunting configuration, shunting the processing request to a target system for processing; the target system comprises at least one of a new system and an old system; when the new system fails to process the processing request, identifying a failure category of the processing failure according to a white-box model; when the white-box model fails to identify the failure category, identifying the failure category of the processing failure according to a black-box model; and according to the identified failure category, deciding to re-shunt the processing request. The embodiment of the application can reduce the processing burden and invalid processing cost of the old system under the parallel architecture of the new system and the old system.

The invention discloses an interpretable molecule optimization method based on a large language model, and relates to the technical field of computational chemistry, and the method comprises the following steps: obtaining an original molecule set, carrying out standardization processing and effective molecule screening on the original molecule set, and outputting a standardized molecule set and an optimization task test molecule set; performing multi-modal molecule embedding generation on the standardized molecule set, and outputting a multi-modal molecule embedding vector set; performing semantic embedding and clustering de-weighting on the initial molecular editing rule set, outputting a de-weighting representative rule set, extracting high-frequency molecular fragments based on the standardized molecular set, and outputting a final molecular editing rule base; on the basis of the optimization task test molecule set and the structured rule metadata table, scoring and sorting are carried out on specified target optimization attributes, and a multi-attribute candidate rule sorting table is output; and based on the reference molecule to be optimized and the corrected editing rule set, carrying out molecular structure editing and property standard-reaching evaluation, and outputting an optimized final molecule set after iteration.

The present application relates to the field of test questions recommendation, in particular to a mathematics test question recommendation method and system based on learning online teaching evaluation. The method comprises the following steps: collecting student historical behaviors based on an online learning platform, performing data cleaning, and generating learning behavior sequences; identifying answered error test questions based on the learning behavior sequences, classifying and labeling, and generating a set of error question labels; performing error question label sorting analysis and error question similarity identification on the set of error question labels to obtain error cause weak points; performing correlation analysis based on the error cause weak points to generate a weak point correlation network; performing adaptive test question recommendation and progressive difficulty planning based on student ability evaluation portraits, and outputting personalized test question recommendation results. The present application realizes the structured quantification of user online learning state and the accurate matching of adaptive test questions, significantly improving the teaching evaluation accuracy and the efficiency and quality of test question recommendation.

The invention relates to the technical field of software-defined network configuration, in particular to a software-defined network configuration method and system, comprising: receiving a user service request, and generating service features and service quality requirements through natural language processing and feature extraction, generating a network slicing strategy containing a binding relationship between a resource reservation parameter and a path based on a service level agreement mapping rule and network topology state information, and converting the network slicing strategy into an equipment-independent general configuration instruction based on a unified data model, and compiling the general configuration instruction into an equipment special instruction which can be executed by equipment of different manufacturers, issuing the equipment special instruction to target network equipment through a southbound interface of the SDN controller, receiving configuration confirmation information returned by the equipment, and verifying the configuration confirmation information so as to ensure that the equipment runs according to the service quality requirement. According to the invention, business demand analysis standardization, resource allocation refinement, equipment instruction unification and configuration execution verifiability can be realized, and the controllability and reliability of the SDN network are improved.

The utility model relates to a kind of slide recycling storage device, including horizontal pushing mechanism, lifting drive mechanism, connecting plate, recycling slide storage box seat and recycling slide storage box;Horizontal pushing mechanism is used to push sample slide into recycling slide storage box;Lifting drive mechanism is used to drive recycling slide storage box seat up and down movement;Connecting plate is used to connect horizontal pushing mechanism and lifting drive mechanism;Recycling slide storage box seat is installed on lifting drive mechanism, for placing recycling slide storage box;Recycling slide storage box is used to recycle and store sample slide.The utility model is small in size, reliable in function, after detection is completed, the slide recycling storage device is convenient for storing and storing sample slide, the detection result has traceability and recheck feasibility, when medical staff or patient questions detection result, stored sample slide can be taken out to carry out secondary verification, effectively meet recheck demand, with better user experience.

The invention discloses a method for identifying and analyzing resonance overvoltage in different types of frequent grounding forms. The method comprises the following steps: S1, establishing a high-quality and synchronous data foundation for subsequent analysis through data acquisition, synchronization and preprocessing analysis; s2, automatically judging the current grounding operation mode of the system at the initial stage of a fault through feature extraction and mode matching analysis; s3, fault types are diagnosed and judged through transient state and steady state characteristic conjoint analysis, and specific fault attributes causing resonance risks are deeply diagnosed in a known grounding form; s4, through dynamic time-frequency analysis and key characteristic quantity calculation, frequency spectrum and waveform characteristics possibly representing resonance are extracted from the voltage waveform; s5, associating the analysis results through multi-source information fusion, judging whether resonance occurs or not, determining the type of the resonance, and explaining the causal relationship between the resonance and the grounding form; s6, constructing an event time axis, forming a structured analysis conclusion, and tracing the full view of the event; the method has the advantages of process dominance, logic interpretability and conclusion three-dimensional.

The application relates to the technical field of equipment management, in particular to a full life cycle management system and method of mechanical equipment, which comprises a data analysis module, a feature analysis module, a degradation identification module, a stage determination module and a management early warning module. In the application, a unified operation data set is formed by collecting equipment operation vibration voltage signals and combining the operation duration and the fault duration, comprehensive analysis is performed on the fault cumulative duration fault density change and vibration change in the life cycle operation section, the equipment operation state change trend is identified and the performance degradation section is continuously marked, the degradation section proportion is counted, the performance degradation stage is identified by combining the operation section interval change, the equipment operation load and the highest rotating speed are adjusted on the basis of the identification result, and the degradation stage operation duration is recorded, so that the equipment operation state change has continuous analysis and trend identification capability, and the equipment maintenance arrangement and operation management have stable basis.

The present application relates to the technical field of hydrogeology, and specifically discloses a geological surveying and mapping groundwater filtering sampling method, which collects optical characteristic parameters, electrochemical response signals, suspended matter distribution characteristics and pressure pulsation data of groundwater bodies in real time, establishes a consistent characteristic data set in time and space, identifies hydrogeological characteristic indexes and their change rules through multi-scale fluctuation characteristic extraction and synchronism analysis, constructs a hydrogeological characteristic profile of groundwater with sampling depth as the benchmark, matches and analyzes in combination with a typical hydrogeological mode spectrum, determines the representativeness and reliability level of the sampling point, and finally generates a sampling optimization scheme and a quality control report; the present application realizes closed-loop control from data collection to quality evaluation, solves the problem of insufficient data representativeness and reliability caused by chemical disturbance and lack of systematic quality control in traditional sampling methods, and improves the accuracy of groundwater sampling data and the reliability of geological interpretation.

The application discloses a data processing method and device based on a blockchain network, equipment and a storage medium. The method comprises the following steps: obtaining read set data corresponding to business data according to a receipt generation request; the read set data comprises state data required by an instruction corresponding to the executed business data in a chain process; generating snapshot data according to the read set data and block metadata corresponding to the business data; re-executing the instruction corresponding to the business data based on the snapshot data to obtain contract receipt information; the contract receipt information comprises data generated by re-executing the instruction corresponding to the business data, and the contract receipt information is used for generating verification information for the business data, and the verification information is used for indicating the main chain network to verify the correctness of the business data in the secondary chain network.

The application discloses a kind of goaf roof mining fracture delineation quantitative characterization method, belong to mine hydrogeology and water prevention and control engineering technical field, by network parallel electric method CT field monitoring obtains the development height of guide crack zone, carries out similar material physical simulation and carries out gray scale and binary processing to image, extracts void fraction discrete data sequence, establishes the coupling equation including exponential decay base item, multi-peak gaussian item and constant background value, introduces subsection dynamic attenuation coefficient to describe the difference of stress dissipation in different rock strata, continuously revises initial strength at lithology mutation interface, adopts damping least square method to carry out parameter inversion, with root mean square error and correlation coefficient as evaluation index, output characteristic equation for water accumulation evolution prediction and water channel identification.The application has high fitting precision and clear physical meaning, and can provide reliable parameter support for water prevention and control engineering design.

The application discloses a remote control system for propionyl chloride production and a control method thereof, and the method comprises the following steps: S1, establishing a communication connection between a remote control center and each reaction kettle, and collecting temperature, air pressure and process running state data in real time; S2, comparing the collected data with a threshold value, and judging whether there is an abnormal working condition; S3, automatically triggering an alarm device and sending an evacuation notice to on-site personnel when an abnormality is detected; S4, automatically sending a cut-off instruction to the corresponding production process, and stopping the operation of the control device; and S5, sending a repair task instruction to maintenance personnel. The system comprises a remote control center, an intelligent monitoring air pressure gauge, an actuating mechanism, an alarm device and a communication notification module, can realize real-time monitoring of key process parameters, automatic early warning of abnormalities and remote centralized control of production processes, significantly improves the safety supervision strength and emergency response efficiency of the propionyl chloride production process, effectively reduces the probability of safety accidents and reduces product loss.

The invention discloses a BIM parameterization-based model processing diagram generation method and system, and relates to the technical field of BIM parameterization modeling and model processing diagram automatic generation, and the method comprises the steps: building three-domain variable mapping based on a BIM parameterization model, constructing a constraint set, and generating solving input based on the constraint set. Conflict detection is performed on solution input, classified output is performed, a feasible solution is obtained according to a hierarchical solution strategy, and backtracking and relaxation correction are performed on the feasible solution. And performing consistency verification on the feasible solution, writing back the BIM parameterized model, and generating a model processing graph based on the expression domain solution. According to the method, through three-domain homologous mapping and constraint ensemble modeling, computable solution input is formed; driving hierarchical solution and relaxation or backtracking of a closed loop by a conflict evidence chain to obtain a feasible solution meeting manufacturing, geometry and drawing review constraints; and finally, performing consistency verification and write-back, and associating with parameter snapshots to obtain the graph, so that the whole process of generating the processing graph is executable, reviewable and traceable.

This invention belongs to, but is not limited to, the field of information security technology, and particularly relates to an efficient data sharing method and system supporting user revocation and key tracking, comprising: system initialization, where an attribute authority generates a master public key and a master private key; attribute key generation, where a data user sends a key request to the authority and receives the corresponding attribute key; data encryption, where the data owner formulates an access policy for their data and encrypts the data accordingly, then uploads the ciphertext to the cloud; update key generation, where the attribute authority generates an update key for its maintained revocation list; decryption key generation, where the data user executes to obtain the decryption key; ciphertext decryption, where users who meet the policy and have not been revoked can decrypt the data; and tracking data encryption and malicious user tracking, where any user can perform tracking encryption to complete malicious user tracking.

The invention provides a waybill receivable and payable accounting method and system based on a rule engine, and the method comprises the steps: carrying out the text recognition and structural document information extraction of a multi-source waybill set, and obtaining a waybill document set; carrying out waybill entity identification and entity relationship extraction on the waybill document set to obtain a waybill entity information set, and carrying out entity alignment and entity conflict resolution on the waybill entity information set based on a graph clustering mode to obtain a standard entity information set; generating a service heterogeneous graph structure based on the waybill service relationship and the standard entity information set, and performing logic consistency verification and association conflict detection according to the service heterogeneous graph structure to obtain an abnormal entity list; carrying out expense accounting and rule chain explanation on the standard entity information by utilizing an accounting rule engine to obtain a primary accounting list; and performing associated entity traceability and logic inversion correction on the abnormal entity list based on the business heterogeneous graph structure, and performing manual recheck on a correction result to obtain a standard accounting list.

The application discloses a kind of echelon battery transaction system and method, applied to merchant, including: account identity management module, digital identity registration is carried out in block chain network;Wallet management module, the balance in purse address is inquired, transaction transfer, transaction record is browsed;Merchant order management module, order details inquiry, order evaluation, and uncompleted order processing are realized;Merchant commodity management module, realize that merchant echelon battery is on the shelf, has been on the shelf echelon battery is browsed, has been on the shelf echelon battery detailed information inquiry;Wherein, merchant order management module receives transaction request from block chain network, according to transaction request, order is handled, when consumer confirms to sign echelon battery, smart contract will complete the amount of money required to pay transaction request and deliver to the account of merchant, the ownership of echelon battery is transferred to consumer, this transaction is packaged to form transaction block and is broadcasted in block chain network, generates distributed account book information.