34 results about "Regulatory authority" patented technology

The invention relates to a multi-level food safety risk evaluation method based on clustering and an entropy weight method, and belongs to the technical field of food safety. Firstly, a Mini-batch K-means clustering algorithm is adopted to carry out risk level preliminary division on a sample, and automatic risk identification of mass sampling inspection data is realized. Then, counting risk grade frequencies of different food types according to three levels of province, city and district (county), and constructing a frequency matrix; and then weighting the risk indexes of various foods by using an entropy weight method, calculating comprehensive risk scores of the food types under different levels, and further aggregating to obtain the total risk level of each region. And finally, carrying out final grading on the risk score of each region by adopting a K-Means clustering method, and determining the food safety risk grade of each province, city and district (county). According to the method, multi-level and data-driven accurate evaluation of food safety risks can be realized, a scientific sampling inspection decision basis is provided for supervision departments, supervision efficiency is improved, resource allocation is optimized, and public food safety is guaranteed.

A method includes identifying the compliance standard based on a regulatory compliance monitoring and enforcement program report. The method includes comparing evidentiary request packages to substantiate the compliance standard from a plurality of regulatory authorities. An evidentiary package defines status indicators of parameters for the regulated entity to meet the compliance standard including a first evidentiary package and a second evidentiary package. The method includes generating an inclusive evidentiary package based on the comparison. The method includes generating an evidentiary submittal package for a first regulatory authority based on the inclusive evidentiary package. The method includes selecting an asset of the regulated entity based on the evidentiary submittal package. The method includes receiving operational data associated with the asset based on the evidentiary submittal package. The method includes applying a compliance result to the compliance standard based on an analysis of the operational data.

The invention discloses an enterprise abnormal capital collection risk prediction method based on government affair data, and relates to the technical field of risk prevention and control, and the method comprises the steps: 1, data collection and integration, 2, knowledge graph construction, 3, risk feature rule mining, 4, risk prediction and scoring, and 5, risk prediction and scoring. And step 5, performing result application: applying to risk early warning: performing real-time early warning on high-risk enterprises, providing decision basis for supervision departments, and applying to investment reference: providing enterprise abnormal capital risk assessment results for enterprise partners and investors for investment decision.

The invention belongs to the technical field of electrical engineering, and discloses an electricity-carbon market coupling linkage operation model construction and clearing method, which comprises the steps of constructing a unified clearing model of a spot market and a standby market of an electric power system and a carbon market clearing model; constructing a coupling relationship between the clearing models; and the spot market and standby market unified clearing model, the carbon market clearing model and the coupling relationship form an electricity-carbon market coupling linkage operation model. According to the invention, through fine modeling of clearing of the electricity market and the carbon market, an inter-market coupling linkage mechanism is integrated, an electricity-carbon market coupling linkage clearing model and a solving method are established, and a coupling linkage model and a clearing method of the electricity market and the carbon market under a carbon market mechanism based on carbon emission intensity are established. The method is beneficial for realizing coupling linkage simulation of the electricity-carbon market and guiding a supervision mechanism to formulate related market rules, so that the electricity market and the carbon market are enabled to operate efficiently and stably, and low-carbon transformation of the electricity industry is promoted.

The present invention discloses a diflubenzuron hapten, antigen, antibody, detection device, and their preparation and application. It also relates to a diflubenzuron hapten, a diflubenzuron antigen, a diflubenzuron antibody, and a colloidal gold chromatography detection device for diflubenzuron, as well as their preparation and application for detecting diflubenzuron. The present invention utilizes an immunological detection method to specifically detect residual diflubenzuron in a sample. The method has the advantages of good specificity, high sensitivity, ease of operation, and the ability to achieve rapid on-site detection. It can better meet the needs of regulatory authorities and testing agencies for on-site supervision and law enforcement, and provides technical support for relevant law enforcement agencies in rapidly detecting residual diflubenzuron in vegetables and fruits.

A method includes identifying the compliance standard based on a regulatory compliance monitoring and enforcement program report. The method includes comparing evidentiary request packages to substantiate the compliance standard from a plurality of regulatory authorities. An evidentiary package defines status indicators of parameters for the regulated entity to meet the compliance standard including a first evidentiary package and a second evidentiary package. The method includes generating an inclusive evidentiary package based on the comparison. The method includes generating an evidentiary submittal package for a first regulatory authority based on the inclusive evidentiary package. The method includes selecting an asset of the regulated entity based on the evidentiary submittal package. The method includes receiving operational data associated with the asset based on the evidentiary submittal package. The method includes applying a compliance result to the compliance standard based on an analysis of the operational data.

A method is disclosed that may include receiving, via a secure regulatory compliance interface, form content and jurisdictional parameters, processing form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules. The method may include extracting compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine and comparing extracted text to a structured compliance database. Also, the method may include generating a compliance checklist using an Automated Workflow & Document Processing System (AWDPS). Further, the method may include verifying form compliance through a machine-learning-driven compliance decision engine and modifying form content using a Compliance Review and Form Generation Module (CRFGM). The method may include securing regulatory submission using a Secure Regulatory Filing Interface (SRFI). Moreover, the method may include tracking submission changes with a blockchain-based audit ledger. Also, the method may include submitting a finalized compliance forms to a regulatory authority via an API integration.

A hardware-anchored Regulatory Capital Adaptation and Policy Orchestration Engine executes regulatory update ingestion, cryptographic source verification, policy translation, and capital compliance enforcement entirely within trusted execution environments (TEEs) comprising Intel SGX enclaves, AMD SEV-SNP protected VMs, or ARM TrustZone secure worlds, materially altering processor states to isolate all policy and compliance computation. Regulatory updates are cryptographically verified against External Regulatory Authority public keys and translated into executable policy coefficients committed to a TEE-Sealed Policy Store with new TEE attestation reports binding each update to the hardware environment. A Policy Drift Monitor anchored to TEE-resident hardware mechanisms detects unauthorized policy modifications. A Regulatory Compliance Vector is computed using r(lambda, mu, nu, kappa) and evaluated by a non-bypassable Compliance Enforcement Gate prior to transaction authorization. A ZKP Compliance Verification Engine generates Groth16 proofs of approximately 192 bytes verifiable in under 10 milliseconds, each embedding TEE-Sealed Policy Store attestation identifiers enabling regulators to verify both compliance outcomes and the specific regulatory parameter versions that governed them. An Attestation-Bound Provenance Ledger binds all compliance events to TEE attestation reports.

The application relates to a kind of outbound data sampling supervision methods based on blockchain and proxy re-encryption, comprising: generating the first public-private key pair of data outbound enterprise and the second public-private key pair of supervisor according to public parameter;First public-private key pair is used to encrypt plaintext data;The first ciphertext obtained by encryption is sampled, and the second ciphertext is obtained, and the sampling information obtained according to the second ciphertext is sent to the blockchain node;When the re-encryption key is verified, the blockchain node re-encrypts the second ciphertext using the generated re-encryption key;The third ciphertext obtained is decrypted to obtain plaintext data;The plaintext data is checked using the declaration record, and the obtained sampling result is uploaded to the blockchain node.The application avoids the risk of large-scale privacy leakage, improves the supervision efficiency and the effectiveness and reliability of supervision, and can provide sampling information as evidence, improves the transparency of the supervision process, and enhances the trust between enterprises and regulatory authorities.

The application discloses a kind of intelligent special operation site management and control systems for regulatory authorities, belong to special operation control field, solve how to assist safety regulatory authorities to understand the details of special operation in jurisdiction by information means, and accurately control the problem of special operation site;Information acquisition and judgment module collects and judges the three types of special operation information of enterprise;Verification pending task generation module obtains three types / no three types of special operation verification pending task;Verification editing module formulates on-site control measures and enterprise verification method;Verification task feedback module feeds back control measures or verification method;Overdue reminder module reminds overdue for not timely feedback control measures or verification method;Verification result record module records verification result;Control result analysis module generates weekly report content;SMS content configuration module fills corresponding SMS template according to the information obtained;SMS sending module automatically sends SMS to corresponding user terminal.

A method is disclosed that may include receiving, via a secure regulatory compliance interface, form content and jurisdictional parameters, processing form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules. The method may include extracting compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine and comparing extracted text to a structured compliance database. Also, the method may include generating a compliance checklist using an Automated Workflow & Document Processing System (AWDPS). Further, the method may include verifying form compliance through a machine-learning-driven compliance decision engine and modifying form content using a Compliance Review and Form Generation Module (CRFGM). The method may include securing regulatory submission using a Secure Regulatory Filing Interface (SRFI). Moreover, the method may include tracking submission changes with a blockchain-based audit ledger. Also, the method may include submitting a finalized compliance forms to a regulatory authority via an API integration.

The present invention discloses an edge interaction control and edge node optimization method for regulating authority transactions, which obtains the interactive business between each demand response resource supplier and each demander in the area to be optimized; establishes an edge interaction model regarding the economic benefits of demand response resource suppliers and demanders; solves the edge interaction model with the maximum value as the goal, and determines the interaction volume between all demand response resource suppliers and all demanders in the area to be optimized; and allocates the interaction volume between all demand response resource suppliers and all demanders in the area to be optimized to the edge nodes according to a pre-set edge node edge interaction business allocation principle. Advantages: Establishing an edge interaction model, solving the edge interaction model, and obtaining the optimal edge interaction behavior from a data-driven perspective, avoiding the deficiency of a complete parameter set required for model driving; realizing edge node edge interaction business management and control optimization, and optimizing business computing speed and equipment energy consumption.

The invention discloses a coal mine enterprise power utilization safety abnormity identification method, system and device and a medium, and belongs to the technical field of coal mine supervision, and the method comprises the steps: constructing a semantic file model, and dynamically storing the basic information, power utilization device parameters and power utilization load data of a coal mine enterprise; a safety supervision rule engine is constructed based on the semantic file model and according to the safety supervision regulations, and the construction of the safety supervision rule engine comprises the steps of disassembling the safety supervision regulations into rule units, and setting an early warning threshold value and a trigger action according to the rule units; all contents in the rule unit and the semantic archive model are aligned and bound, and after the semantic archive model is updated, an early warning threshold value of the rule unit automatically completes mapping adjustment; according to the method, cross-department safety supervision is supported, and a traditional offline data exchange mode is thoroughly replaced by data sharing, so that supervision departments can conveniently and timely discover super-capability and super-intensity working scenes.

Allergen exposure chambers (AECs) can be used to produce controlled exposure to allergenic and non-allergenic airborne particles but at present cannot be used for double-blind, placebo-controlled, randomized clinical trials currently required by regulatory authorities. Accordingly, inventive naturalistic exposure chambers (NECs) designed to mimic the environment(s) within which a typical user / individual is exposed are outlined. Further, reproducible controlled allergen dispersal is achieved via robotic allergen aerosolization systems (AAS) which provide automated movement of the allergen source within the AEC as well as structure for acquiring and / or aerosolizing—distributing the allergen. Robotic AAS can be used to acquire only, distribute only, or acquire and distribute. Robotic AAS may also provide aerosolization of two or more allergens in defined manner.

This invention relates to the field of syringe production and recycling technology, and discloses a syringe traceability system and method. The syringe traceability system allows for continuous monitoring and recording of the production, transportation, use, and disposal of each syringe. Simultaneously, the monitoring information is uploaded to a regulatory authority's central server for storage via a communication module. When a syringe is used, a syringe identification module collects the syringe information and uploads it to the regulatory authority's central server. The central server compares the information uploaded by the syringe identification module with pre-stored information. If a match is found, the corresponding syringe information is deregistered. A diffuse reflection detection module continuously monitors each syringe throughout the entire process, preventing syringe loss and facilitating users' later access to syringe-related information, effectively preventing discarded syringes from being used for other purposes.

The invention discloses a distributed supervision anonymous certificate method and system based on an attribute signature, and the method comprises the steps: a user submits an attribute application to a distributed attribute mechanism, and the attribute mechanism issues an attribute private key to the user through a chain type authorization method after the authentication is passed; the user submits a revocation right application to the supervision mechanism, and the supervision mechanism generates a revocation right for the user and publishes a certificate white list; the user uses the attribute private key and the revoked right to generate an anonymous certificate, and the anonymous certificate is shown to the verifier; the verifier verifies the attribute signature and certificate validity of the anonymous certificate; when a dispute occurs, the verifier can request arbitration, and the supervision mechanism recovers the real identity of the user or revokes the anonymous certificate of the user according to the dispute degree. Compared with the prior art, the anonymous certificate revocation method has the advantages that double decentration of the attribute mechanism and the supervision mechanism is realized, and the anonymous certificate revocation method is efficient.

The invention relates to a cross-border supply chain financial account receivable splitting and right confirming system based on a block chain. The system comprises a cross-border digital identity authentication module, an account receivable initial right confirming module, a multi-level dynamic splitting module, a cross-border multi-chain consensus module, an intelligent contract execution module, a compliance risk control module and a data interaction interface module. According to the invention, the whole process of cochain evidence storage from initial right confirmation to multi-level splitting of the account receivable is realized, cross-border multi-agent collaborative verification is supported, the legality, traceability and controllability of splitting behaviors are ensured, participants such as a core enterprise, multi-level suppliers, a financial institution, a supervision institution and a cross-border payment platform are integrated through an alliance chain architecture, and the efficiency is improved. Based on an improved PBFT consensus mechanism, efficient cooperation of cross-border nodes is achieved, the supervision requirements of different judicial jurisdictions are adapted in combination with a cross-border compliance rule engine, the efficiency of account receivable splitting and right confirmation is remarkably improved, the cross-border financing risk is reduced, and the cross-border financing problem of small and medium-sized enterprises is solved.

A system and related methods for executing and managing international trades, particularly in goods, makes use of blockchain- or other security-based architecture. The system architecture is able to be implemented so as to be compliant with regulations and regulatory authority to minimize potential fraud, forgery, or other security breaches which may affect the integrity of the associated trading transactions. The computer-implemented system, programming, and associated methods process data related to all phases of international goods trades, including drafting, negotiation, and execution of contracts as digitally negotiated instruments or electronic transferable records, as well as electronic bills of lading. The system include features to limit access, verify and authenticate users, and provides limited access to databases and various templates to facilitate the generation, execution, and management of trading transactions from inception to completion.

The invention relates to the technical field of power system operation optimization, and discloses a federated physical drive unit scheduling method considering information barriers and regulation authority, comprising the steps of constructing a plurality of scheduling agent proxy models, each scheduling agent proxy model corresponding to a scheduling subject, the scheduling agent proxy model is a decision proxy model based on a space-time diagram convolutional network; based on a personalized federated learning framework, cooperatively training a plurality of scheduling agent proxy models; and inputting a power grid operation state obtained in real time into the trained scheduling agent proxy model, and directly outputting a cooperative scheduling scheme meeting physical constraints and economical efficiency targets through forward reasoning. The method has the advantages that the scheduling method can effectively cope with multi-province information barriers and can efficiently process complex control permissions, meanwhile, the weak supervised learning strategy fused with physical rules remarkably reduces dependence on large-scale label data, and the generalization ability and decision-making safety of the model under complex working conditions are improved.

The invention belongs to the technical field of digital asset transaction, and particularly discloses a digital asset transaction method and system based on a distributed account book, which realizes the availability and invisibility of information before transaction through a mechanism of'off-chain security processing 'plus'on-chain verifiable execution', ensures the high security and privacy of the whole transaction process, especially the link before accounting, and improves the transaction efficiency. In combination with zero knowledge proof, an end-to-end security guarantee is provided; by combining high-load order matching with efficient under-chain execution and lightweight on-chain verification, high-throughput and low-delay transaction experience is realized, transaction efficiency comparable to that of a centralized platform is realized, and absolute transparency and fairness of transaction matching and clearing are guaranteed; the key operation result is sent to the smart contract for verification processing, and the core elements of the transaction are subjected to distributed account book evidence storage, so that the process is ensured to be open and transparent; a necessary audit tracking path is provided for a supervision mechanism through a transaction identifier and an authorized access mechanism.

This application relates to the field of technology achievement transaction management technology, and discloses a blockchain-based technology achievement transaction evidence storage and traceability system, including: a blockchain storage module, which serves as the core data hub of the system, used to store evidence storage data and traceability data during the technology achievement transaction process. The evidence storage data includes ownership certificates of the technology achievement, transaction contracts, and value assessment reports, while the traceability data includes the research and development information of the technology achievement. A first algorithm is used to perform preliminary semantic annotation on the traceability data, combined with a second algorithm to accurately correct fuzzy labels, solving the problems of "fuzzy labels and semantic ambiguity" in traditional traceability. Simultaneously, the traceability logic is intuitively displayed through a label classification view and a correction record view, making information such as the research and development stage and transaction model of the technology achievement clearly interpretable. This helps both parties to the transaction and regulatory authorities quickly understand the meaning of the data, significantly improving the transparency and credibility of the entire technology achievement transaction process.

The invention relates to the field of data encryption, and provides a supervision submission-oriented data encryption storage method and system, and the method comprises the steps: firstly obtaining to-be-encrypted data, and carrying out the preprocessing of the to-be-encrypted data, and obtaining a sensitive field; secondly, performing pseudo data filling and reconstruction on the sensitive field to obtain a pseudo data field and a reconstruction packet, and recording a mapping relation among the sensitive field, the pseudo data field and the reconstruction packet; generating a verification code through a digital signature algorithm and the integrity check bit, and embedding the verification code into the reconstruction packet; and finally, symmetrically encrypting the reconstructed packet embedded with the verification code, and storing the encrypted reconstructed packet into a system database. The system comprises a data preprocessing module, a pseudo data filling module, a reconstruction packet construction module, a verification code generation module and an encryption module, and can realize security encryption storage, source authentication, integrity verification and tamper-proof verification of data on the premise of ensuring that sensitive data is not directly exposed, thereby meeting the requirements of supervision departments on the security and compliance of submitted data.

A system may prove one or more attributes of a user by generating cyclic groups, generating an aggregate anonymous credential by a regulatory authority and issuers of the system, setting up an issuer with a multi-signature of administrators of the system, generating user credentials, and validating an operation signed with the user credentials.

The present invention discloses a global event element extraction method for supervision, which belongs to the field of network security technology and includes the following steps: S1, establishing a rule base for dynamically configuring threat alarm log classification and event classification mapping; S2, extracting alarms associated with security events from alarm assets in different regions, different industries, and different units; S3, associating security event alarm logs with specific assets and information systems; S4, determining the weights of alarms with different event association rules; S5, extracting event-associated asset alarm scores and asset importance information, and calculating the overall risk of the event as an event classification element; S6, generating a situation indicator element for the security event. The present invention can provide reliable basic data support for regulatory authorities to carry out research, reasoning, and emergency command work in cross-industry and cross-regional cyberspace.

The invention belongs to the technical field of digital assets, and particularly relates to a multi-digital asset exchange platform which is supervised in a scale-conforming mode and used for adjusting service rules and operation strategies of the platform in time according to digital asset supervision policies of countries all over the world to ensure compliance of the platform. Thirdly, establishing a compliance review mechanism, and strictly reviewing identity information and transaction behaviors of the user; then, in the registration and transaction process of the user, the user is required to provide real and effective identity information, real-name authentication is carried out, and the authenticity and accuracy of the identity information are ensured through cooperation with a third-party identity authentication mechanism; meanwhile, large-amount transactions and suspicious transactions are monitored and reported in real time to cooperate with the work of a supervision department. According to the invention, the advanced cross-chain technology is integrated, the transaction of various digital assets among different block chains is supported, the problem of non-uniform technical standards is solved, and a user can conveniently carry out cross-chain asset exchange.

This application provides a data inspection method and apparatus. The method includes: acquiring regulatory clause data; analyzing the regulatory clause data to obtain key attributes of the clauses; scanning the system database to be inspected to obtain scanned data; inspecting the scanned data based on the key attributes of the clauses to obtain inspection results; identifying abnormal data and abnormal scenarios that do not comply with the regulatory clause data based on the inspection results; and outputting the abnormal data and abnormal scenarios. As can be seen, this method and apparatus can inspect data, promptly identify data that does not meet regulatory requirements, and help improve data standardization to meet the data requirements of regulatory authorities.

AI based ubiquitous online consultations method and system is disclosed. A computer-implemented method comprises receiving an electronic input from one or more service providers, wherein the electronic input includes a set of credentials associated with the one or more service providers worldwide. The method further comprises verifying the one or more service providers based on the set of credentials that are validated from one or more regulatory authorities including licensing authority, certification authority, and professional association; and preparing a database of service providers by including the verified one or more service providers. The method further comprises implementing an access control mechanism based on a user's role, permission, and authentication credentials to prevent unauthorized access from viewing or modifying the database. The method further comprises employing an encryption protocol to encrypt the database at rest and in transit.

The invention discloses a transaction detection rule updating method and device and a computer storage medium, and relates to the field of block chains. The method comprises the steps that under the condition that it is detected that an oracle machine obtains an updating instruction about a transaction detection rule, or under the condition that it is detected that a block chain node corresponding to a supervision mechanism initiates a multi-signature proposal, rule updating information is generated, the oracle machine is used for connecting external data with the block chain node, and the block chain node is used for connecting the external data with the block chain node; the multi-signature proposal is a modification proposal about the transaction detection rule; calling an intelligent contract deployed in a block chain, the transaction detection rule being built in the intelligent contract; and updating the transaction detection rule built in the smart contract according to the generated rule updating information. The technical problems of compliance risk and low system efficiency caused by untimely rule updating and lack of flexibility in execution in a traditional transaction detection system are solved.

A system, method, and apparatus are disclosed for the autonomous generation and implementation of manufacturing improvements by AI-enabled robotic agents, including in aerospace and other regulated industries. Robotic agents—operating individually or in swarms—detect design or process inefficiencies, generate improvement proposals using artificial intelligence models, including generative AI, and log such proposals in an idea registry. A decision module evaluates whether regulatory approval is required. If so, the system prepares a formal submission for review by an appropriate regulatory authority, such as the Federal Aviation Administration. Upon approval—or when no approval is required—the proposed improvement is integrated into design documentation, production protocols, and training workflows. Optional steps include polling peer agents, sandbox validation, and coordinating multi-site deployment. The system aligns with design control and validation frameworks (e.g., FAA certification, FDA QSR, ISO 13485), enabling traceable, compliant improvements in both build-in-place aerospace assembly and high-throughput regulated manufacturing.

An information processing device according to the present invention displays, in a first region of a display unit, information defining a legal procedure required for introducing an AI system to be introduced into a market to which a law defining regulations and legal requirements regarding AI is applied, on the basis of a compliance result indicating whether or not the AI system satisfies each of a plurality of legal requirements of the applied law. The information processing device acquires a request that is detected by an agent which generates information in response to input information and that relates to a legal requirement or a legal procedure in audit trail work for a regulatory authority. The information processing device causes the agent which has received an input of the request to generate response information in response to the request, the response information being an explanation related to audit trail work for the regulatory authority, displays the response information in a second region of the display unit, and, after the information and the response information have been displayed on the display unit, registers an audit trail for the regulatory authority.