139results about How to "Achieve traceability" patented technology

This invention relates to the field of intelligent water control terminal control and electromagnetic compatibility processing technology, and particularly to an anti-interference water control terminal control method and system with abnormal alarm. The method includes: reading raw signals in parallel from water shortage, anti-magnetic, and flow sampling interfaces; processing and mapping these signals into alarm events and writing them into a hardware alarm event set; performing board-level partitioning layout based on the information in the event set to generate a partitioning layout configuration set; configuring decoupling units, laying grounding wires and copper plating, and setting multiple grounding nodes accordingly; assigning power supplies to each detection interface to an analog power path and power supplies to the main control and communication modules to a digital power path, configuring filtering units and isolation nodes; laying grounding copper foil and vias for the crystal oscillator, and configuring metal shielding structures for key modules; reading alarm signals based on the obtained configuration set and encapsulating them into alarm messages, uploading them via Bluetooth or 4G channels, receiving management results, and generating a terminal alarm processing status. This invention improves the anti-interference capability and alarm reliability of the water control terminal through event-driven board-level layout and power supply link isolation.

This invention discloses a unified management and scheduling method, system, and storage medium for multiple workflow engines, belonging to the field of workflow orchestration and task scheduling technology. The method includes: receiving a start request for a target workflow, creating and recording a workflow instance, and determining the engine type; based on the engine type, selecting a target runtime adapter, driving the workflow instance to execute in the engine, and establishing a node execution record; when a target workflow node enters a waiting state, writing waiting and recovery information into an extended storage area; upon receiving a recovery advancement request, resuming the template workflow's progress, and verifying and auditing the recovery data; submitting the verified recovery data to the target runtime adapter, driving the target workflow node to complete the recovery advancement and triggering subsequent node scheduling, and outputting unified progress data. This invention can reduce the integration cost when multiple engines coexist, and improve cross-engine collaborative scheduling capabilities and audit traceability capabilities.

The present application belongs to the technical field of industrial internet security, and relates to an industrial internet vulnerability library establishment method, which solves the problems of low construction quality, weak traceability, insufficient continuous evolution ability and difficulty in supporting deep security application of the existing vulnerability library. The present application obtains industrial internet multi-source vulnerability data and external feedback data, obtains extraction results and initial confidence based on multi-source vulnerability data by adopting rule extraction and remote supervision deep learning joint extraction, divides the certainty knowledge base and the to-be-reviewed queue according to the double threshold after the confidence is optimized by the graph convolution network, analyzes the external feedback data of the samples in the to-be-reviewed queue as the instant reward signal, optimizes the sampling strategy and updates the model through deep reinforcement learning, extracts triples from the certainty knowledge base to build a knowledge graph and generate a version hash chain regularly, and obtains a structured vulnerability knowledge base containing a hash chain and confidence evaluation. The present application realizes high-precision construction and dynamic optimization of the vulnerability library.

This invention discloses a molecular genetics laboratory management system for a genetics center, belonging to the field of laboratory information management technology. It provides real-time monitoring of sample status, dynamic scheduling of subsequent tasks, and early warnings for near-expiration and overdue samples. Experimental data is collected through structured electronic task sheets, and the analyzed genetic variation information is dynamically updated to a mutation database. Historical variation data is intelligently recommended for report generation. Report content is automatically populated based on variation data and adapted to project templates. It supports configurable multi-level review processes, enabling online collaboration and operation tracking. Based on review results, first-use acceptance and automatic deduction of inventory for reagents and consumables are performed. Based on resource linkage and traceability, gene disease databases and mutation databases are collaboratively constructed. This system achieves fully automated management from intelligent sample monitoring and scheduling to automatic report generation and review, significantly improving the operational efficiency, data accuracy, and resource utilization of the genetics laboratory.

This invention provides an automated testing device for UAV data links, including an industrial control computer, a display, a spectrum analyzer, a programmable DC power source, a programmable adjustable attenuator, a fixed attenuator I, a fixed attenuator II, a power divider I, a power divider II, an RF switch, a shielded box I, and a shielded box II. The software of the industrial control computer includes a system management module and an automated testing module. The advantages of this invention are: it uses general-purpose testing equipment, is based on a computer-automated program, and controls the settings of each testing device via a bus to simulate remote control, telemetry, image data transmission and reception, and bit error rate statistics; it achieves automated testing of core functional performance indicators of UAV data links such as power consumption, transmit power, spectrum, functionality, receiver sensitivity, bit error rate, and latency.

The application provides a medicine distribution verification method and system based on image recognition. The delivery process including a continuous action sequence is forcibly guided and verified, which fundamentally eliminates cheating behaviors such as pre-stored photos and staged photos. The system verification must rely on specific actions completed in real time, which improves the cost of fraud. At the same time, the verification process is visualized, standardized, automated, evidence-based and traceable. Through the collection and fusion analysis of action information such as action video, environmental continuous parameters and medicine packaging information, the compliance, effectiveness, authenticity and continuity of the medical and pharmaceutical delivery process are ensured, and an unalterable verification record is generated, solving the credibility and traceability problem of the end verification of medicine distribution.

This application relates to an event-driven method and computing device for recognizing revenue from intra-group transactions. The method includes: acquiring a transaction order and determining its type; if the transaction order is an intra-group transaction order, acquiring its triggering event; if the triggering event is a key business completion event, generating a cost recognition voucher for the purchaser of the transaction order and a revenue recognition voucher for the seller of the transaction order; wherein the key business completion event represents a business operation event indicating that the relevant performance obligations have been fulfilled. This achieves a fundamental shift from employee-based identification and triggering to system-based perception and response, improving the timeliness and accuracy of financial processing, thereby reducing operating costs and increasing processing efficiency.

This application discloses a method and system for determining pollution causes based on the correlation between atmospheric diffusion conditions and emission contributions, relating to the field of atmospheric pollution cause identification. The method includes: aligning meteorological, emission, and receptor observations to a unified spatiotemporal reference to obtain multi-source baseline data; calculating a diffusion stability index characterizing vertical mixing and horizontal transport using meteorological monitoring, generating time-varying diffusion condition weights; generating a time-response diffusion kernel from the emission source to the receptor point using a diffusion model under unit emission conditions, and constructing diffusion-contribution correlation information with observed concentrations to characterize the temporal coupling strength; establishing a diffusion-contribution dynamic optimization model, using diffusion condition weights to constrain the coupling relationship, and iteratively solving for time-varying contribution coefficients based on the convergence target of simulated and observed concentrations, outputting the dynamic contribution of each source and the pollution cause. Thus, time-varying diffusion conditions are explicitly introduced into the source contribution inversion framework, achieving stable separation and reliable attribution of source contributions.

This invention discloses a large-scale reliable fault diagnosis method for aviation maintenance scenarios, comprising: constructing a domain model for aviation troubleshooting tasks; standardizing and retrieving the input fault descriptions, normalizing and weighting the retrieval results to generate a unified-ranked candidate document list; selecting several high-scoring documents to perform dynamic context expansion and semantic relevance verification to obtain a structured evidence set; using this as input to the domain model for aviation troubleshooting tasks to output a troubleshooting solution; structurally decomposing the troubleshooting solution into several sub-steps and quantifying the uncertainty of each sub-step; combining fuzzy representation recognition and uncertainty classification to label the risk level of each sub-step, and forming a credible aviation maintenance diagnosis solution after manual review. This invention also discloses a large-scale reliable fault diagnosis system for aviation maintenance scenarios. This method and system can achieve stable generation, reliable verification, and risk-controlled output of aviation maintenance diagnostic content.

The invention provides a control method and system for local gluing of the outer surface of a metal round piece, and belongs to the technical field of intelligent gluing control. The method comprises the following steps: firstly, acquiring a current outer surface image and process task data of a to-be-glued metal round piece, and determining a target local gluing area, a state detection area and a target glue line parameter; releasing detection glue points in a state detection area, acquiring a detection dynamic image sequence, and extracting spreading length, edge expansion rate, necking rate, broken wire time delay and retraction displacement to form a dynamic morphology feature sequence; inputting the dynamic morphology feature sequence into a glue solution rheological state inversion model, and solving a current glue solution rheological state parameter; local gluing is carried out according to the formal gluing control instruction, and a local glue line forming result is output in combination with an outer surface result detection record. According to the method, the current flowing state of the glue solution can be recognized before formal gluing, gluing control parameters are synchronously adjusted according to the current flowing state, and the forming stability of local gluing glue lines on the outer surface of the metal round piece is improved.

The invention discloses a comprehensive maintenance method and system for construction of a composite wall of a comprehensive hub station through a cover-excavation top-down method, and relates to the technical field of rail traffic engineering construction. The technical problems of low maintenance efficiency, unbalanced temperature and humidity control, easiness in cracking and leakage and the like of the laminated wall under the working condition of top-down excavation are solved; the comprehensive system comprises mold curing, intelligent temperature and humidity control, cooling temperature control, heat preservation and moisture preservation and monitoring early warning, automation, refinement and traceability of the curing process are achieved, the moisture preservation and heat preservation period of the laminated wall is prolonged, the internal and external temperature difference is strictly controlled to be smaller than or equal to 25 DEG C, the concrete surface moisture content is controlled to be larger than or equal to 80%, and the impervious concrete curing period is controlled to be larger than or equal to 14 d. According to the construction method, the integrity and the anti-cracking and anti-seepage performance of the wall body are remarkably improved, the construction requirements of the large cover-excavation top-down composite wall are met, the construction convenience and the maintenance quality reliability can be effectively improved, and remarkable economic and social benefits are achieved.

The application discloses a long spiral drilling machine concrete automatic pouring control method and system, the method comprises the following steps: in response to the pipeline filling rate and / or the concrete pressure reaching the preset value, the drill pipe automatic lifting mode is started; according to the feedforward speed and the feedback correction amount generated based on the concrete pressure deviation, the lifting speed is calculated, the winch equipment is controlled to lift the drill pipe according to the lifting speed, and the real-time correction of the lifting speed is carried out in the lifting process; the total lifting length is divided into multiple preset lengths, when the drill pipe is lifted by the preset length each time, the pile filling rate in the preset length range is calculated, if the pile filling rate is lower than the preset filling rate, the underfilling backfilling is carried out, after the backfilling is completed, the drill pipe returns to the original position and continues to lift until the concrete pouring is completed. The pouring process of the concrete is changed from the experience type manual adjustment to the closed loop control based on the pile filling rate and / or the concrete pressure, the underfilling and overfilling phenomena are avoided, and the piling quality is higher and more stable.

The application discloses an elliptical multi-scale hidden state space method for intelligent rapid prediction of turbulent flow, and belongs to the cross field of machine learning and computational fluid dynamics. The method first encodes the velocity field, external force field, boundary information and Reynolds number in a multi-scale manner to construct a feature pyramid; then elliptical local attention and four types of physical bias are introduced, and physical consistent feature aggregation is realized through anti-symmetric weight construction; adjacent scale low-frequency bidirectional exchange is used to depict positive and inverse order series of turbulent flow energy; long time series evolution is completed with adaptive time step relying on physical perception hidden state space and system identification; the flow field is output through coarse-to-fine decoding, and autoregressive training is carried out by using joint loss. The application can accurately capture the characteristics of turbulent flow rotation, multi-scale coupling and long-time dynamics, significantly improve the prediction accuracy and stability of high Reynolds number instantaneous turbulent flow, suppress error accumulation, and is suitable for rapid intelligent solution of complex turbulent flow scenes, and has strong generalization ability and engineering practical value.

This invention discloses a standardized management system and method for raw material testing and inspection, relating to the field of information management technology for testing and inspection. It addresses issues such as unstable method selection, fragmented record-result chain, weak report version control, and insufficient traceability throughout the raw material testing and inspection process. The system establishes a task-level testing context around the testing task, performs gating verification on samples, equipment, environment, personnel, and candidate testing methods, and determines the target testing method based on processing time sequence, time drift, conditional coupling, and continuous applicable segments. Furthermore, it completes the collection, identification, verification, calculation, rounding, judgment, report freezing, and version replacement control of original records, forming a task-level evidence package, thus achieving standardized, traceable, and closed-loop management of the entire testing process.

The application discloses a food additive production management and control system and method based on intelligent scheduling, and relates to the technical field of additive production.The application comprises a printing step and an extraction step, and the printing step comprises the following steps: a scheduling unit acquires scheduling records of a production workshop and uniformly uploads the scheduling records to a processing unit; the processing unit saves the scheduling records to a database, and simultaneously executes a data classification program according to the data length L of the scheduling records to obtain data blocks and a compression algorithm; the processing unit acquires packaging pictures from the database; the processing unit executes a picture fusion program according to the data blocks and the compression algorithm to obtain fused pictures; and the processing unit synchronously saves the fused pictures to the database.The application hides the scheduling records in the packaging pictures of each product through the data blocks and the compression algorithm, can realize distributed storage of the scheduling records, improves data security, avoids artificial tampering of the scheduling records, and improves the authenticity of the scheduling records.

The utility model relates to a kind of sample bottle bottle-opening device, sampling device and stereoscopic structure detection device, it includes drive mechanism, screw cap mechanism, fixed mechanism and tray mechanism, wherein, the support module of tray mechanism includes several modularized racks, rack can make the sample bottle suspended on it Setting;Screw cap mechanism can be clamped to sample bottle, to make under the driving effect of drive mechanism drive sample bottle to carry out multidimensional motion, and can be transferred to the sample bottle placed on tray mechanism to fixed mechanism;The bottle body support plate of fixed mechanism can support the bottle bottom of sample bottle, and by bottle gripper from the opposite side of sample bottle Clamping, to realize the limiting of the bottle body of sample bottle;When the bottle body of sample bottle is limited by fixed mechanism, the bottle-opening gripper of screw cap mechanism can make the bottle cap of sample bottle be limited by the way of tightening bottle-opening gripper, and by bottle-opening motor drive bottle-opening gripper drive bottle cap to rotate.

The present application relates to the technical field of agricultural internet of things, in particular to a crop straw carbonization system based on internet of things, which comprises a temperature distribution regulation module, a carbonization process analysis module, a quality prediction optimization module, a dynamic calibration module and a safe storage management module.In the present application, the internal thermal field distribution of the carbonization equipment is accurately identified and divided in multiple levels, the heating law of the straw is dynamically analyzed, the heat transfer rate and distribution density are optimized, the energy efficiency and the uniformity of the carbonization reaction are improved, the energy efficiency optimization and product quality improvement are realized based on the distribution law of the pyrolysis products and energy consumption data, the quality stability and consistency of the biochar are maintained through dynamic prediction and offset correction, the operation error is automatically repaired by the real-time calibration mechanism, the carbonization process is maintained in the optimal state for a long time, the data security partitioning and traceability are realized by combining the encrypted data storage path, and the intelligence, energy efficiency control, uniformity and data security and reliability of the carbonization system are comprehensively improved.

This invention discloses a method and system for anomaly identification in multi-source monitoring data of steel structures, belonging to the field of steel structure monitoring data processing technology. The method includes acquiring multi-source monitoring data of steel structures and unifying time-scale alignment, generating a preprocessed dataset containing working condition features and quality markers. Based on the working condition features, the physical baseline prediction value is calculated; based on the preprocessed dataset, the data baseline prediction value is calculated, and dual residuals are obtained. The physical residual strength is calculated based on the dual residuals; and the residual inconsistency degree and sliding window adaptive threshold are calculated to output anomalies. This invention constructs a stable input through unified time-scale and quality marker constraints, generates physical and data dual baselines in parallel, and outputs dual residuals. Online discrimination is completed using correlation robustness strength + residual divergence adaptive weight + sliding window threshold, achieving an interpretable, traceable, and more robust anomaly identification process for long-term monitoring under working condition drift.

The application provides a food material supply chain risk early warning method and system, and relates to the field of data processing. In the method, the resource adjustment behavior caused by quality, performance, timeliness or inventory in the food material supply chain is uniformly semantically modeled to form a traceable alternative behavior link, and a historical stable structure is constructed as a control benchmark under the condition of no accident and no centralized supervision intervention. In real-time operation, the current alternative behavior is embedded in the historical stable structure for comparative analysis, the state of high-frequency consumption and unable to back off is identified by combining the alternative compression characteristics, it is determined whether the alternative redundancy has substantially contracted, and further, the collapse front state is identified through the synchronous degradation of the backup supplier coverage, the same level alternative ability and the abnormal repair ability, so that the forward-looking risk early warning result is output before the accident occurs. The technical scheme provided by the application facilitates to improve the overall accuracy of the food material supply chain risk early warning.

This invention discloses a machine vision-based method for detecting contaminant residues after duodenoscope reprocessing, specifically in the field of machine vision, to address the problem of accurately locating and removing contaminant residues after existing duodenoscope reprocessing. The method involves applying controlled incident angle, wavelength, and polarization state light perturbations to the outer surface and inner lumen of the duodenoscope, acquiring image sequences under perturbation, and extracting temporal brightness response features of pixel blocks. Brightness difference residuals and consistency weights are calculated at different incident angles to identify candidate abnormal regions and generate a difference map reflecting their response characteristics to a clean baseline. The difference map is segmented, analyzed for connectivity, and clustered. Combining three-dimensional coordinate continuity and surface normal consistency, the three-dimensional spatial boundary of the suspected contamination area is delineated. Within this range, directional cleaning and retesting are performed, with repeated detection until the contamination area disappears, achieving high-precision detection and efficient cleaning.

The application discloses a kind of based on knowledge graph's shot edge detection method, comprising the following steps: obtaining image data and detecting metadata, data preprocessing is carried out to obtain preprocessed image data;Current detection context is generated, and edge visibility evidence vector is obtained;Main strategy multi-path connection query is constructed;Leapfrog Triejoin algorithm is used to execute main strategy multi-path connection query, and main strategy configuration is output;Based on main strategy configuration and preprocessed image data, edge contour generation processing is executed, while consistency check is executed, and consistency check result and failure reason code are output;When consistency check result is not passed, back-off strategy multi-path connection query is constructed;Execute back-off strategy multi-path connection query, output back-off strategy configuration again Execute edge contour generation processing and consistency check, and output shot edge detection result.The application improves the detection precision of shot edge detection under complex defect conditions.

The application discloses a kind of dye filling conveying automatic robot operation monitoring method and system, it is related to robot operation monitoring technical field, comprising the following steps: S1, the state element of operation monitoring object is structured;S2, using operation state element constructs robot filling-conveying operation state expression;S3, using operation state expression set carries out robot actual operation behavior mapping;S4, using operation behavior corresponding relation set identifies operation deviation state;S5, using operation state expression set and operation deviation identification constructs robot operation monitoring result.The application is mapped by setting based on operation state expression set and carried out robot actual operation behavior, and then obtains operation behavior corresponding relation set, so that each class of actual operation behavior of robot in the whole process of dye filling conveying can be clearly attributed to the corresponding operation state expression, avoid the problem that operation monitoring only relies on isolated state or scattered behavior record.

The application discloses a bone marrow cell recognition result merging and counting method and system based on a double-space ontology constraint model. The method acquires a single cell record set, loads a statistical rule model containing a fine-grained label space, a clinical statistical space, a merging relationship, a denominator caliber relationship, an abnormal isolation relationship and a rule version identifier, forms a conversion path constrained by the rule version identifier, after rule integrity verification, maps an original fine-grained category to a clinical statistical node, determines a denominator caliber type and divides a denominator set, and generates an independent abnormal statistical item record; generates a clinical statistical result data set according to the clinical statistical node, the denominator set and the independent abnormal statistical item, and forms a reversible traceable data set. The application can reduce statistical denominator mixing, retain abnormal morphological characteristics, support rule version traceability, model upgrade compatibility and artificial correction incremental recalculation.

This invention discloses a method for monitoring the welding process quality of a volute housing seat ring, comprising deploying a digital dial indicator and configuring a wireless data acquisition module to establish a deformation data acquisition and transmission link; acquiring deformation data in parallel through multiple channels of the link and performing preprocessing; constructing a deformation monitoring model based on the preprocessed data, calculating the risk rate of a single measuring point, and then calculating the joint risk rate of multiple measuring points; and synchronizing the data to multiple terminals and performing interactive adaptation. This invention replaces manual reading with a high-precision digital dial indicator and wireless automatic acquisition, achieving objective and accurate acquisition and real-time early warning of deformation data; by constructing a deformation monitoring model and a quantitative model of the joint risk rate of multiple measuring points, it accurately characterizes the deformation correlation of multiple measuring points, realizing quantitative prediction of the overall structural deformation risk and proactive process guidance; and through multi-terminal data synchronization, it achieves traceability of the entire welding cycle data of the volute housing seat ring and multi-scenario adapted closed-loop monitoring, while being compatible with existing processes, thus improving the level of quality control.

The present application relates to the field of industrial automation control, and specifically provides a programmable logic controller program automatic acquisition method, a storage medium and an electronic device, aiming at solving the problem that multiple types of processor programs cannot be automatically collected. To this end, the acquisition method of the present application comprises: acquiring the type of central processing unit contained in the programmable logic controller; the type includes a standard central processing unit and a fail-safe central processing unit; according to the type, determining the program upload mode of the programmable logic controller; according to the program upload mode, uploading the program of the programmable logic controller. The present application can realize compatible collection of standard central processing unit and fail-safe central processing unit device programs, and reduce the labor cost and time cost of industrial device program operation and maintenance.

This invention discloses a method for evaluating the accuracy of surveying results based on a vehicle-mounted mobile measurement system, comprising the following steps: receiving surveying result data, determining the data acquisition area and acquisition route, and acquiring raw 3D laser point cloud data and position data; processing the raw 3D laser point cloud data and position data to obtain point cloud data and position files in the target coordinate system; constructing trajectory reference line one based on the processed position files, forming trajectory reference line two based on time interval segmentation, and forming trajectory reference line three after trajectory quality screening; loading the vector data, point cloud data, and trajectory reference lines of the surveying result sample to be inspected, automatically extracting the relative accuracy detection side length and absolute accuracy detection points, calculating the offset value with the corresponding side length and corresponding point in the surveying result to be inspected, and statistically analyzing the mean square error to achieve the mathematical accuracy evaluation of the surveying result to be inspected. This invention is highly efficient; based on the integrated acquisition of a vehicle-mounted mobile measurement system, efficiency is improved; and accuracy is reliable.

This invention discloses a hospital environmental disinfection risk prediction and management system and method, belonging to the field of risk prediction and management technology. It utilizes an environmental sensing module to collect environmental parameters and disinfection equipment status in real time, providing accurate and real-time data support. A digital twin processing module is used to construct a digital twin model, facilitating visualization of the disinfection status of various areas within the hospital. Subsequently, a dual-channel risk prediction model is used to analyze multimodal environmental parameters, predicting the contamination risk of each area and generating corresponding equipment control commands. This enables corresponding disinfection strategies and real-time early warnings, significantly improving the accuracy and practicality of the prediction results. This enhances the dynamic decision-making capability and traceability of hospital disinfection operations, improves disinfection efficiency and risk prevention effectiveness, and facilitates application and promotion.

This invention provides a multi-agent-based software pilot testing method and apparatus. The method includes: matching verification agents corresponding to the software type of the software to be verified; constructing a verification agent cluster for the software to be verified based on the verification agents; verifying the software to be verified based on the verification agent cluster and pilot testing requests to obtain agent verification results; and determining the pilot testing result of the software to be verified based on the agent verification results. The method provided by this invention automatically acquires and parses verification requests, accurately matches and constructs a verification agent cluster, efficiently executes verification tasks and generates results, and ultimately objectively determines the pilot testing conclusion. This constitutes a complete, end-to-end intelligent pilot testing solution, significantly improving the efficiency and accuracy of software pilot testing, achieving precise matching and dynamic scheduling of verification resources, and enhancing the traceability and objectivity of verification results.

This invention discloses a query response and code generation method and system based on document parsing in the power industry. The method includes: parsing and preprocessing the input domain document to construct a document text logic graph; constructing a domain knowledge graph; receiving user queries and performing structure matching retrieval based on the document text logic graph and association reasoning retrieval based on the domain knowledge graph to form a traceable evidence package; constructing a structure-enhanced context based on the evidence package and inputting it into a large domain language model to generate a response containing natural language descriptions and structured domain language code; performing just-in-time compilation and tensor simulation verification on the structured domain language code; if verification fails, triggering closed-loop correction of retrieval and generation based on deviation information; if verification passes, outputting the parsing result and code. This invention improves the accuracy, interpretability, and output reliability of long document processing in the power industry.