84 results about "Quality assurance" patented technology

The invention discloses a product full-life-cycle traceability after-sales service system based on multi-source heterogeneous data, and relates to the technical field of product traceability after-sales management. Manufacturing resumes, work orders, spare part warehouse-in and warehouse-out and equipment logs are accessed, mapping of product instances, parts and software primary keys is established, and the product traceability after-sales service system is established. And normalizing the configuration change event into a configuration change event containing double time axes of effective time and warehousing time, and writing the configuration change event carrying differential operation, an evidence packet and an idempotent event identifier into an immutable event library. And constructing a conflict set for the same configuration target, executing uniqueness, causality and compatibility constraint verification, determining an effective event based on evidence packet arbitration, and outputting an arbitration record and confidence. And deriving a configuration version chain according to the effective event and generating a snapshot, performing incremental playback on the late or error correction event and generating an influence propagation list. And when any time point configuration is queried, playback restoration is performed, an evidence chain and confidence are output, an active verification backflow error correction event is triggered if the confidence is insufficient, and the accuracy of quality guarantee judgment and spare part matching is improved.

The invention relates to the technical field of computers, and discloses a chip mounter material tracing management method and system based on a knowledge graph. The method comprises the following steps: constructing a dynamic knowledge graph covering the whole process of a patch; injecting multi-source data in real time to drive dynamic updating of the atlas; when the materials are abnormal, reverse tracing and forward influence double-path reasoning are started; isolation, rework and reset instructions are automatically generated and pushed to a manufacturing execution system; and synchronously updating the atlas state to form an auditable record. The system comprises a dynamic knowledge graph construction module, a real-time data injection module, a bidirectional inference engine module, an automatic processing instruction generation module and a graph state synchronization module. According to the scheme, millisecond-level error positioning and closed-loop processing are realized, and the tracing efficiency and the quality guarantee capability are improved.

Systems and methods are provided for implementing quality assurance for digital technologies using language model (“LM”)-based artificial intelligence (“AI”) and / or machine learning (“ML”) systems. In various embodiments, a first prompt is provided to an LM actor or attacker to cause the LM actor or attacker to generate interaction content for interacting with test software. Responses from the test software are then evaluated by an LM evaluator to produce evaluation results. In some examples, a second prompt is generated that includes the responses from the test software along with the evaluation criteria for the test software. When the second prompt is provided to the LM evaluator, the LM evaluator generates the evaluation results.

Techniques for monitoring a pharmaceutical manufacturing process and making determinations regarding the release of radiopharmaceuticals to health care providers. A data processing system collects data across multiple batches of radiopharmaceuticals, across multiple entities, and / or across multiple stages of the manufacturing process, processes the data, and provides feedback to entities involved in the manufacturing process. In scenarios where quality assurance tests are conducted, data is collected from radiopharmaceutical products before they are shipped, and the data is analyzed to provide the recipients with an indication of whether the radiopharmaceutical products satisfy quality assurance standards. Techniques for analyzing information about a batch manufacturing process and, when a problem occurred during a manufacture of a batch, determining whether to continue to manufacture a next batch in time for delivering and administering to a patient. The detected problem may be investigated and remedied before or during the synthesis of the next batch.

Devices, systems, machine-readable media, and methods for quality assurance of an additively manufactured part are provided. A method includes receiving by a manufacturer, a proprietary additive manufacturing process parameter, a non-proprietary additive manufacturing process parameter, and sensor data indicative of a build condition of an additively manufactured part, the build condition indicative of an attribute of the additively manufactured part during the additive manufacturing process; identifying, based on the proprietary additive manufacturing process parameter, the non-proprietary additive manufacturing process parameter, and the sensor data, a defect of the additively manufactured part; filtering out the proprietary additive manufacturing process parameter, resulting in filtered information; generating, based on the filtered information, a quality assurance report of the additively manufactured part; providing the quality assurance report to a customer, the quality assurance report includes a description of the defect and location of the defect; and delivering, based on the defect passing a part acceptance criterion, the additively manufactured part.

This invention provides a semi-automatic method for constructing and iterating an ontology in the financial and tax domain, comprising the following steps: S1, system initialization and configuration; S2, data acquisition and preprocessing; S3, based on a few-shot learning model and an expert rule base, automatically extracting core concepts from structured financial and tax data and inferring relationships between concepts, performing hierarchical modeling according to financial and tax business logic, and generating a draft ontology model; S4, multi-dimensional automatic verification and manual optimization of the draft; S5, ontology output and version management; S6, dynamic iterative update of the ontology; S7, iterative automatic verification of the ontology in multiple dimensions. This invention achieves four core advantages: improved efficiency, quality assurance, scenario adaptation, and dynamic updates, solving key technical challenges in the construction and application of ontology in the financial and tax domain, providing core support for the efficient operation of financial and tax intelligent agents, and possessing broad application prospects and commercial value.

The invention discloses an AI-based code quality intelligent review and automatic distribution system and method, and relates to the technical field of software development and quality assurance, the AI-based code quality intelligent review and automatic distribution system comprises an event triggering and capturing unit, a code change extraction and analysis unit, an intelligent review engine starting unit, an AI analysis and decision unit and a feedback and closed loop unit; the event triggering and capturing unit is used for monitoring a code pushing event for submitting a code to a remote GitLab code library after a developer completes function development locally through a GitLab platform, generating an HTTP request and sending the HTTP request to the code change extraction and analysis unit; through the Webhook mechanism provided by the Gitlab, 'triggering upon code submission 'is realized, manual intervention is not needed, the feedback period is greatly shortened, and the development efficiency is improved.

Methods, systems, and apparatuses for improved quality assurance (QA) are described herein. A computing device may provide a user interface having multiple user interface elements that allow a user of the computing device to interact with a QA system. Each of the user interface elements may be associated with one or more QA tasks for a type(s) of medical equipment. The computing device may receive input from the user via at least one of the user interface elements. The computing device may determine a completion value for at least one of the QA tasks. The computing device may send an update message indicative of the completion value for the at least one QA task.

An example quality assurance (QA) system for a radiosurgery system is described herein. The system includes an appliance comprising: a housing, an indicator; and an actuator configured to move the indicator; a controller in operable communication with the appliance, where the controller comprises a processor and a memory, the memory having computer-executable instructions stored thereon that, when executed by the processor, cause the processor to: transmit one or more control signals to the appliance in accordance with a QA test protocol, where the QA test protocol comprises moving the actuator from a first position to a second position, the first and second positions being separated by at least a first predetermined distance.

The invention particularly relates to a database quality monitoring and diagnosing method based on a model context protocol. According to the database quality monitoring and diagnosing method based on the model context protocol, initialization configuration is completed through an MCP Server, and a probe unit collects operation indexes and original operation logs of a database in real time and transmits the operation indexes and the original operation logs to the MCP Server; early warning and automatic identification and root accurate positioning of anomalies are realized through the MCP Server, a solution is automatically executed, and closed-loop management of database states is realized; and the large model monitoring module performs abnormal attribution analysis, triggers an alarm notification, and archives historical downtime and error information to a knowledge base. According to the database quality monitoring and diagnosis method based on the model context protocol, real-time monitoring, intelligent abnormity diagnosis and rapid problem positioning of multi-dimensional quality indexes of the database are realized, the manual intervention cost is reduced, the efficiency and reliability of database quality assurance are improved, and the method is suitable for popularization and application. And the full-life-cycle quality management requirements of different types of databases can be met.

This invention discloses a machining process for precision screws, belonging to the field of mechanical manufacturing technology. It includes the following steps: S1, rough machining and forming: treating the surface of the bar stock and machining functional slot structures, followed by pre-deburring; S2, structural strengthening: heat-treating the workpiece for strengthening; S3, precision finishing: correcting the form and position tolerances of the heat-treated workpiece and precision grinding each surface; S4, quality assurance delivery: completing inspection, cleaning, and packaging. This process flow is clear, employing a logical arrangement of "forming first, then strengthening, and then fine-tuning," resulting in a workpiece with not only a high-hardness surface but also improved coaxiality of its stepped axis and thread trajectory accuracy. This significantly enhances the screw's operational stability at high speeds. Furthermore, through staged quality control and precision correction, it improves the first-pass yield of the workpiece and reduces the risk of scrap due to heat treatment deformation, possessing extremely high industrial application value.

The invention provides a control software joint simulation hardware-in-the-loop test system and method. The system comprises a hardware-in-the-loop test platform, a test project management platform and an automatic test platform. The hardware-in-the-loop test platform comprises an IO interface board card and a real-time simulation machine which are respectively used for connecting a physical controller and operating a controlled object model containing a virtual controller model; the system supports the hybrid deployment of a real object and a virtual controller: the controller of a selected type can be accessed in the form of the real object, and meanwhile, a corresponding virtual model in a real-time simulation machine replaces a non-accessed controller of the same type, so that the controller and the real-time simulation machine interact in real time to form a closed-loop test. According to the method, flexible configuration and reuse of a test environment are realized, a whole-process closed loop from test management, automatic execution to result tracing is completed, the method has software quality quantitative measurement and continuous improvement capabilities, and the test efficiency, coverage depth and quality assurance level of the new energy automobile control software are remarkably improved.

A semantic similarity-based configurable system for automatic scenario detection in customer-agent conversations is disclosed. The system understands intent from semantic similarities in vector space between speaker sentences, does not rely on the use of synonyms, and tolerates a large amount of paraphrasing. This approach is easily scalable to a large number of customers and can be fed more data to increase accuracy and precision. Furthermore, the system is configurable in real time, allowing clients to control which intents are detected and how. In some embodiments, the semantic similarity-based configurable system includes a scenario detection system, a conversation tagging system, a bi-encoder, and a cross-encoder. The scenario detection system receives inputs of sample phrases and customer and agent utterances and generates results. The sample phrases may be phrases and keywords that describe scenarios representing customer or call agent behavior.

This invention relates to the fields of industrial automation and intelligent control technology, and in particular to an intelligent control system and method for a high-speed braiding machine. The system includes a process stage identification unit for determining the current process stage of the braiding machine based on real-time operating parameters, wherein the process stage includes at least a steady-state braiding stage; an energy-saving strategy library storing energy-saving control strategies corresponding to each process stage; and a collaborative adjustment unit connected to both the process stage identification unit and the energy-saving strategy library. Through the process stage identification and collaborative adjustment mechanism, an energy-saving optimization operation with tension stability as the primary constraint is initiated during the steady-state braiding stage. The system can adaptively explore and lock the lowest oil pump operating point that meets the tension requirements, thereby fundamentally solving the problems of energy redundancy, lack of adaptive adjustment capability, and mutual constraints between energy saving and tension stability caused by conservative power settings in the prior art. This achieves dynamic synergy between product quality assurance and energy consumption reduction.

This utility model discloses a terminal strength testing device for testing the terminals at the upper end of a capacitor. The device includes a clamp with two symmetrically arranged clamping plates, and a strength testing component. The strength testing component includes two symmetrically arranged connecting blocks connected to the clamping plates via a first elastic element. Each connecting block has a through-hole, within which a clamping shaft is movably arranged. A second elastic element is positioned between the clamping shaft and the opening. The two clamping shafts are spaced apart on the same axis. This utility model reduces labor, minimizes the impact of human error on testing results, and improves the consistency and quality assurance of electrode terminal testing.

This invention discloses an automated project iteration system based on AI agents and the GitLab MCP protocol. It comprises six core modules and is deeply integrated with the GitLab platform via the GitLab MCP protocol. It can receive natural language requirements, automatically analyze project context, generate compliant functional code, and simultaneously and intelligently generate multi-level verification scenarios and test cases, including unit tests and integration tests. It automates operations such as code submission, CI / CD pipeline triggering and monitoring, and merge request management, forming an end-to-end automated closed loop from requirement to verification success. This invention solves the problems of missing verification scenarios, fragmented tools, and cumbersome operations in existing development, significantly improving the efficiency and quality assurance capabilities of software development iteration.

The invention relates to a data management-oriented data integration and quality assurance collaborative verification method and system and a medium, and relates to the technical field of data management. The data integration and quality assurance collaborative verification method comprises the following steps: associating and monitoring integration nodes and assurance nodes according to a service execution process, and generating an integration task trigger identifier; according to the integrated task trigger identifier, the integrated node pushes a data verification request to a guarantee task queue to generate a queue voucher; according to the queue voucher, the guarantee node calls a data verification rule to analyze and verify the data verification request, triggers an exception handling decision, and generates a quality verification label; updating the node state of the business execution process according to the quality verification label, and matching and executing a process operation decision; through deep embedding of a data guarantee link and an active access data integration process, preposition and left shift of quality verification are realized, problems are quickly found and positioned from the source, data management efficiency is improved, and transparency and management and control capability of the whole process are enhanced.

A system and method are disclosed for quality assurance and performance testing of supply chain applications and systems. Embodiments include providing a user interface for receiving a test case file that describes one or more actions to be tested and a properties file that maps one or more elements to one or more values, translating a received test case file and a corresponding properties file into a test case, and executing the test case by identifying the one or more actions identified in the test case and automatically invoking one or more testing components configured to execute a test using the one or more actions, wherein at least one of the one or more testing components is configured execute performance testing, and at least one of the one or more testing components is configured to execute regression testing.

This utility model discloses an automatic sorting mechanism for a rubber parts inspection platform, including a worktable, a rotating workpiece table, a sensor module, a detection module, and a feeding module. The detection module includes six detection stations: a front inspection station for the inner wall, a front inspection station, a front side inspection station, a back inspection station, a back inspection station for the inner wall, and a side height inspection station. The feeding module includes three sorting modules, employing multi-station visual inspection to achieve all-round inspection of the rubber parts' appearance, ensuring that the rubber parts can be inspected from all angles. The front and back inspection stations for the inner wall accurately capture inner wall details and potential defects, ensuring that their quality and performance meet standards, improving accuracy and efficiency, and providing reliable quality assurance for the production and use of rubber parts. The three sorting modules separate defective products, good products, and uncertain products, improving sorting efficiency.

This invention discloses a quality assurance system and verification method for afterloading radiotherapy. The system includes: an afterloading quality assurance verification phantom: used to simulate the actual application environment of afterloading radiotherapy under controlled conditions, comprising a pelvic simulation phantom and a measurement adaptation module for adapting different types of applicator devices and multiple types of dose measurement units; multiple types of dose measurement units: set at predetermined measurement positions within the afterloading quality assurance verification phantom, used to acquire different types of dose and time-related measurement data under the same geometric conditions; QA analysis software: used to generate a QA scheme for quality assurance that can be executed by the afterloading radiotherapy device, and to analyze the measurement data obtained by the multiple types of dose measurement units; and an afterloading radiotherapy device: connected to the applicator device adapted in the afterloading quality assurance verification phantom for executing the QA scheme.

The disclosed system provides an adaptive, modular platform for automated compliance in clinical research and other environments. It integrates a rule-based artificial intelligence engine, real-time sensor feedback, and blockchain-based audit logging to ensure protocol adherence and regulatory transparency. The system supports deployment across cloud, edge, and hybrid infrastructures, enabling contextual enforcement through non-persistent data processing and immutable event tracking. By dynamically interpreting trial protocols and adjusting enforcement logic based on environmental inputs, the system facilitates continuous compliance with HIPAA, 21 CFR Part 11, Good Clinical Practice (GCP), protocol, and SOP standards. The architecture is designed for scalability, auditability, and proactive corrective action planning across diverse trial sites and study phases.

A system for testing a benefit plan for quality assurance is provided. A test adjudication engine is configured to process claims in accordance with the benefit plan, each of the claims having one or more parameters. A database is configured to store the benefit plan and quality assurance data, the quality assurance data including: (a) historical claims, each historical claim having an associated historical adjudication, and (b) new claims, each new claim not having an associated historical adjudication. An interactive dashboard is configured to allow a user to batch claims for processing by the test adjudication engine, from among the historical claims and the new claims, based on the one or more parameters.

The present invention provides an integrated migration technology that integrates (1) dynamic schema analysis and business logic estimation under authority constraints, (2) restoration of multimodal UI / UX, (3) collaborative implementation of AI groups and real-time conflict resolution, (4) transparent security migration, (5) quality assurance for non-disruptive switching, and (6) detection of bottlenecks during operation and continuous monitoring of business KPIs. [Solution] This invention runs the old and new systems in parallel using the same input obtained from mirroring or recording / playing back production traffic, acquires the output difference and execution metrics, calculates Q_mig from UIm / APIm / Lat / Lat_CVaR, and determines the stage switching based on the m-of-n criteria of T_window and T_hold. In case of non-delivery or critical errors, it automatically rolls back and audits the basis for the decision using a hash chain + time signature. The authentication method is also migrated through transparent hashing during the initial authentication.

Systems, methods, and storage media for providing a scalable platform for improving legal drafting efficiency using generative ai and expert-in-the-loop are disclosed. Exemplary implementations may: provide a platform that allows firms to request drafting services on an on-demand basis; provide, through the platform, a two-sided marketplace supporting the network of drafters; utilize advanced technology to minimize waste in the production of legal documents; implement strict document guidelines and quality assurance procedures to ensure a consistent quality legal documents; and provide a project dashboard and automated workflows to ensure projects stay coordinated and on-schedule.

A semantic similarity-based configurable system for automatic scenario detection in customer-agent conversations is disclosed. The system understands intent from semantic similarities in vector space between speaker sentences, does not rely on the use of synonyms, and tolerates a large amount of paraphrasing. This approach is easily scalable to a large number of customers and can be fed more data to increase accuracy and precision. Furthermore, the system is configurable in real time, allowing clients to control which intents are detected and how. In some embodiments, the semantic similarity-based configurable system includes a scenario detection system, a conversation tagging system, a bi-encoder, and a cross-encoder. The scenario detection system receives inputs of sample phrases and customer and agent utterances and generates results. The sample phrases may be phrases and keywords that describe scenarios representing customer or call agent behavior.

The invention discloses a high-finish-degree aluminum alloy extrusion profile machining system. Aluminum alloy extrusion profiles are key structural materials in the fields of aerospace, rail transit, high-end electronic products, building curtain walls and the like. Along with industrial upgrading, the requirement of the market for the surface quality of a profile is increasingly stringent, at present, in order to achieve high surface smoothness in the industry, a series-connection and islanding production mode, namely extrusion forming, follow-up heat treatment and off-line finish machining is generally adopted, and the mode generally has the defects that in the aspect of surface quality, high-cost post-treatment remedial measures are excessively depended, and the production cost is high. In order to solve the problem of sharp contradiction among the product quality, the production efficiency and the environmental protection cost, the invention constructs a complete quality assurance chain through the integration of three core procedures, systematically controls the surface quality from the source to the terminal, and realizes stable and consistent output with high finish.

This invention discloses an automatic review and management method and system for office documents based on text summarization algorithms, belonging to the field of semantic processing technology. The method includes the following steps: structurally parsing the office documents; screening review-focused elements and generating a candidate semantic fragment set through semantic parsing and merging operations; generating summary units, calculating their importance weights, and determining the review execution strategy accordingly; applying review rules to generate review results; and locally updating and regenerating abnormal summary units based on the results. This invention solves the pain points of low summary credibility and the inability of static rule bases to adapt to new problems. It achieves content traceability and fidelity, and realizes intelligent hierarchical and efficient allocation of review resources. It not only automatically produces highly credible summaries and detailed review reports, but also achieves simultaneous growth in processing accuracy and efficiency, providing standardized, evolvable, and reliable quality assurance for the processing of key office documents such as contracts and reports.