71results about How to "Guarantee normative" patented technology

The invention discloses a discrete manufacturing multi-view BOM dynamic derivation method and system based on a tree-shaped network structure, and belongs to the technical field of intelligent manufacturing and product data management. The method comprises the following steps: constructing a tree body as a single product data source, and storing a hierarchical relationship, attribute definition and engineering semantics of a product in a tree structure; based on the tree body, dynamically matching derivation rules through a mesh mapping relation library; executing rule matching, semantic verification, structure reconstruction and dictionary verification by utilizing a dynamic view derivation engine to generate a target BOM view; semantic constraint and verification are carried out on the derivation process through a BOM data dictionary module; and realizing access control and audit based on role, scene and data sensitivity through the security and authority control module. According to the method, a new generation of xBOM dynamic derivation architecture which takes a tree form as an ontology, takes a net form as mapping, is configurable in rule and is strong in data specification is constructed; the fundamental problem of discrete manufacturing multi-view BOM management is solved, and engineering rationality and service flexibility are both achieved.

The invention discloses a causal knowledge graph construction and question-answering system based on retrieval enhancement generation and a large language model. The system comprises a multi-source heterogeneous knowledge base construction module, a retrieval enhancement generation module, a named entity recognition and causal triple extraction module and a knowledge fusion reasoning module, according to the method, a high-quality named entity annotation data set and a causal data set are constructed, and normalization and integrity of input knowledge are guaranteed; a mixed retrieval strategy (keyword + vector + sparse embedding) is provided, and the evidence coverage rate and recall precision are improved. Under RAG driving, LLM is combined, two rounds of causal triple extraction are achieved, and the causal relationship coverage degree and the direction judgment confidence degree are improved; a conflict detection and atlas fusion mechanism is designed to ensure the unity and consistency of new and old causal knowledge; a question answering system based on a causal atlas is also established, multi-hop causal reasoning is supported, and answers with controllable credibility and explainable are output.

The invention provides a main data automatic governance method and system based on a large model and Dores, and belongs to the field of data governance. The method comprises the following steps: constructing an RAG main data management knowledge base stored in Dores, and exploring multi-source heterogeneous data by utilizing federated query and MCP service of the Dores; driving an end-to-end process from main data automatic identification, asset checking, source layer modeling and data access, and main data standard model definition and gold attribute set generation by using a large language model; deep cleaning is carried out on the data by adopting a rule and AI cooperation mode, and heterogeneous data mapping and ETL task generation and arrangement are completed; finally, in combination with a graph database and an authority system, intelligent data security sharing based on dynamic desensitization is realized. According to the method, automation, intelligence and adaptive optimization of the whole process of main data management are realized, and the problems of dependence on manpower, low efficiency, incomplete coverage and insufficient safety compliance of a traditional scheme are solved.

The utility model provides a kind of human resource management archives auxiliary threading device, it is related to the technical field of archives management, including base, left stand plate, first sliding slot, first bearing, first lifting plate, screw rod, hand wheel, upper antiskid block, lower antiskid block, arc hole and punch assembly etc.;Traditional manual binding needs page by page alignment, manual punching, for the archives of greater thickness, it is cumbersome and time-consuming to operate.And the device realizes automatic punching through punch assembly, multiple drill bits can work simultaneously, and punching operation of multiple hole positions is completed at one time, which greatly reduces the punching time and significantly improves the overall efficiency of archives binding.Operators do not need to repeat punching, threading and other mechanical actions, effectively reducing hand fatigue caused by long-term operation, reducing the work failure rate and reducing labor intensity.

This invention relates to a method and system for automated generation of TSN network configurations based on a reflective agent. The system comprises a network state perception and intent reflection module, a YANG model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state perception and intent reflection module is responsible for structurally perceiving network state and resource information. The YANG model configuration parameter and structure decision module integrates multi-source knowledge and contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs syntax and semantic verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment automation capability of TSN network configuration by introducing reflective reasoning and feedback optimization techniques.

The application discloses a marine product inspection digital application system and method based on a lightweight database and a configurable interface, an electronic device and a medium. The method can include: an enterprise user runs a client, initiates enterprise authentication to a CA authentication; after the client is authenticated, the enterprise's product basic data, inspection item list and corresponding data dictionary configuration are automatically obtained from the server end; the enterprise user applies for product inspection on the client; the client automatically assembles the locally stored structured data into a message conforming to the interface specification according to the data dictionary configuration, and submits it to the server through the CA authentication channel; after the inspection is completed on the server, the product certificate is sent to the client of the enterprise and stored locally. The application integrates a lightweight database, a configurable interface and a secure authentication mechanism, realizes seamless connection of enterprise and classification society data, guarantees data quality and safety, and implements marine product inspection digital specification.

This invention discloses an earthquake disaster simulation training method and system, aiming to solve the problems of low multi-system timing synchronization accuracy, insufficient immersion and training realism, fixed configuration, and high scene adaptation costs in existing earthquake simulation systems. This method initializes the system by loading a structured configuration file, establishing a globally unified time reference for all system control nodes; it uses real-time audio-visual timecodes to drive the calculation of the target magnitude, generating synchronization control commands with unified execution timestamps to achieve timing alignment of vibration, audio-visual, and environmental effects; it implements hierarchical safety control throughout the entire process, and completes system reset through a progressive termination sequence after the process ends. This invention significantly improves the synchronization accuracy and immersion of earthquake simulation, enhances system scalability, reduces scene adaptation costs, and ensures the safety of the training process.

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

The invention discloses a data processing method and device, equipment, a storage medium and a program product, and is applied to the technical field of computers. The method comprises the steps of obtaining at least two pieces of data of M data partitions; determining partition data distribution information corresponding to each data field according to a data partition rule of each data field in the at least two data fields; determining a target data field from the at least two data fields according to a data distribution uniformity evaluation index value corresponding to each piece of partition data distribution information in the at least two pieces of partition data distribution information; the data distribution uniformity evaluation index value corresponding to the partition data distribution information of the target data field is greater than or equal to a preset threshold value; and according to a data partitioning rule of the target data field, performing redistribution processing on the data of the M data partitions to generate M first data tables. According to the method, the problem of resource waste caused by data skew due to a mode of performing data partitioning according to a fixed partitioning field can be solved.

The invention discloses a fuel management supervisor on-duty compliance verification method and a related device, and belongs to the technical field of personnel management. The method comprises the following steps: acquiring human face information and personnel data of spatial position information at an inlet and an outlet of a fuel sample preparation room in real time; based on the personnel data, the number of personnel in the sample preparation room is counted and judged in real time through a dynamic people number balance algorithm; on the basis of face information in the personnel data, performing biological characteristic identity verification on personnel in the sample preparation room, and confirming the identity and on-duty state of the supervisor; and coupling the number of the personnel, the identity of the supervisor and the on-duty state of the supervisor, and generating a compliance judgment conclusion. According to the invention, on the basis of a living body detection and trajectory tracking technology chain, the problems of identity false use, double-person cooperative verification and shift supervision are solved, and a non-repudiation responsibility tracing system is constructed. Through cross-modal data fusion and complex environment adaptation design, the problems of data islands, statistical distortion and equipment reliability in the prior art are solved, and all-time accurate supervision is realized.

This invention relates to an automatic detection system and method for elevator landing door locking devices. The system includes a moving base mounted on the car top, a door lock drive mechanism driven by the base, an image acquisition device, a signal acquisition device, and a control device. The door lock drive mechanism has two roller push plates that can move independently or collaboratively, enabling adaptive driving of single-action or double-action roller door locks. The image acquisition device acquires door lock images to identify door lock features and the lock hook. The signal acquisition device acquires the door lock safety circuit break signal. The control device automatically controls the drive mechanism based on the identification results and triggers visual measurement upon receiving the break signal to calculate the lock hook engagement depth and determine whether it meets safety requirements. This invention achieves automatic, accurate, and efficient detection of door locks with various structures, replacing traditional manual methods and significantly improving the objectivity, accuracy, and applicability of the detection.

The embodiment of the invention discloses a data processing system of a dense array and a device thereof. The data processing system of the dense array comprises an equipment unit which comprises an array and a mobile communication device, and the array is composed of seismometers of different models; the acquisition unit is used for providing a gateway for data synchronization and information transmission of the mobile communication equipment and providing a format conversion tool for ensuring that data is transmitted according to a unified format; the data unit is used for providing unified data access, data management and index management for multi-source heterogeneous data, and providing data whole-process management and access such as data acquisition, management, archiving storage, query access and the like; the software function unit is used for carrying out standardization processing on the data in the data unit and carrying out task management on array layout in the equipment unit; and the application unit provides a plurality of platform products according to the functions of the data unit and the software function unit.

This invention discloses a sublingual microcirculation imaging system with pressure detection and feedback control. The system comprises a shell, handle, inner support, focusing ring, circuit board, image sensor, probe, pressure sensor, and integrated unit. The integrated unit adjusts the focusing ring to control the probe movement based on the clarity of the sublingual microcirculation video and pressure information, until the video is stable and clear and the pressure reaches the target pressure value or a preset pressure range. This invention achieves real-time, accurate measurement and digital display of the probe-mucosal contact pressure in sublingual microcirculation imaging, enabling medical personnel of varying experience levels to quickly master and apply appropriate pressure, ensuring the standardization and repeatability of the examination.

This utility model discloses a liquid mixing device, belonging to the technical field of clinical pharmaceutical auxiliary equipment. The device includes a funnel-shaped stirring drum body with an internal cavity. A prismatic stirring drum is placed inside the cavity, and a circular turntable is fixedly connected to the upper surface of the prismatic stirring drum. A crushing gear is engaged on one side of the circular turntable. This utility model, through the arrangement of the injection cylinder, crushing gear, and circular turntable, allows the circular turntable and crushing gear to work together to crush the medication in the injection cylinder. After crushing, medical personnel inject water into the injection cylinder, which mixes with the drug residue and flows out through the gap between the funnel-shaped stirring drum body and the prismatic stirring drum. The medication can be collected at the drain pipe. The overall operation is simple, convenient, time-saving, and labor-saving, requiring minimal manpower and resources.

This application provides a lamp replacement fixture. The heater includes a base, a lamp connected to the base, and a clamp that fixes the base into a quartz cavity. The lamp replacement fixture includes a clamp release component and a load-bearing guide component. The clamp release component includes a clamp action part that acts on the clamp, and the force applied to the clamp is opposite to the clamping force of the clamp on the quartz cavity, so as to release the clamp's fixed constraint on the quartz cavity. The clamp release component is disposed on the load-bearing guide component, which is used to align the base and prevent the lamp from falling into the quartz cavity during the clamp removal process. This lamp replacement fixture, by setting the clamp release component and the load-bearing guide component, significantly improves replacement efficiency, effectively reduces the risk of impact damage, improves operational safety and reliability, and enhances the convenience of equipment maintenance.

The application relates to an application binary file standardization processing method and system, and the method comprises the following steps: establishing an application binary file standard library according to a system specification system file; obtaining a list of application binary files to be processed, identifying an application category according to a file attribute, and extracting a corresponding checking strategy; performing standard checking on the file according to the checking strategy; determining, by a user, whether to perform standardization processing on a non-standard list; packaging the processed application binary file to obtain a deb application package; recording process log information and test results, and archiving the deb application package. According to the application, a corresponding standard library is established according to a software and hardware specification system file, checking rules are automatically identified and extracted, standardization checking and processing of the binary file are completed, and a standard deb package is automatically generated. According to the application, a binary file standard library can be established according to core specifications which independently affect the compatibility of an operating system, the checking efficiency is improved, and the standardization and compatibility of the application on the operating system are ensured.

The utility model provides ink testing instrument of collection fineness detection and rotary viscosity detection relates to ink testing instrument technical field, include: base, the base upper end surface symmetry has two connecting blocks, each connecting block all rotates a pivot, two pivots inboard all welds in detection seat, and detection seat top end surface has established detection groove, and detection seat right -hand member surface welds have the joint projection, and right side one connecting block has established one first clamping groove and one second clamping groove, and the joint projection is connected with first clamping groove, and when the joint projection is connected with second clamping groove, detection seat is 30 degrees state of inclination. In the first detection subassembly of the application, detection seat can be switched state fast through the cooperation of joint projection and different clamping groove, keep horizontal stability when detecting, and when observing the result, then be 30 degrees of inclination, need not repeatedly adjust to obtain the best observation angle, convenient and efficient operation.

The application relates to a chromatographic data monitoring management method and system, and relates to the field of data management, which comprises the following steps: collecting a chromatographic data transmission state; when the chromatographic data transmission state is not a preset transmission interruption state, collecting chromatographic data transmission information; according to the chromatographic data transmission information, data priority and data resource occupation rate are retrieved; based on the data priority and the data resource occupation rate, a data transmission sequence is generated; data transmission is performed through the data transmission sequence, and a chromatographic task flow is collected; based on the chromatographic task flow, a chromatographic task log is generated, and the chromatographic task log is written into a preset task storage. The application has the effect of improving the analysis efficiency of chromatographic data.

The application discloses a power distribution network defect detection method and device, medium and equipment, and belongs to the defect detection field. The application outputs the spatial position of the defect area in real time through a lightweight detection model of an image acquisition end to guide fine collection, inputs high-definition image data into a ground processing end diagnosis model after cutting, outputs a defect category, a severity level and a pixel-level segmentation result, and generates a structured diagnosis report. Since the lightweight detection model optimized by channel pruning or knowledge distillation and the diagnosis model of the deep neural network architecture form end-cloud cooperation, the advantages of real-time detection and accurate diagnosis are complementary, and the application effectively solves the problem that the prior art cannot accurately and efficiently detect defects of the power distribution network.

The invention discloses an intelligent disaster emergency scheme generation method, which comprises the steps of configuring a multi-channel data interface to access multi-source data, identifying named entities through a deep learning model, constructing a unified disaster feature space, and outputting a standardized disaster feature vector; inputting the vector into an emergency domain knowledge graph to perform double-engine reasoning and rule reasoning to generate a compliance necessary action set, and performing case reasoning to generate a supplementary action set based on similarity retrieval; after the action sets are combined, space-time constraint verification and conflict resolution are carried out, and after serialization, a large model output scheme is input through PromptEngine. According to the method, unified convergence and standardization of multi-source data are realized, dynamic disaster situations and static knowledge are linked, regulation rigid constraint and disposal flexible adaptation are balanced, and scientific, compliant, feasible and efficient decision support is provided for emergency command.

The invention provides a family safe medication management method, system and device and a medium, and relates to the technical field of medical health management, and the method comprises the steps: generating a first medication reminding scheme of a user according to a medication file of the user; generating a second medication reminding scheme according to the biological characteristic data of the user sent by the intelligent equipment; identifying drug combinations with interaction conflicts in the first drug use reminding scheme and the second drug use reminding scheme; according to a preset drug safety rule, adjusting drug use parameters of drug combinations with interaction conflicts, and generating a third drug use reminding scheme; and obtaining medicine basic information in the AI medicine box, adjusting the third medicine taking reminding scheme according to the medicine basic information, generating a target medicine taking reminding scheme of the user, and reminding the user to take medicine according to the target medicine taking reminding scheme. The technical effect of the invention is that the deviation between the medication reminding scheme and the actual medication demand of the user is reduced.

The present application belongs to the field of security and privacy technology, and particularly relates to a vehicle privacy technology detection method and system based on a shielding tent. A signal isolation environment is constructed in an electromagnetic shielding tent; a noise baseline model is established through frequency spectrum analysis; wireless terminal equipment detection is performed through a full-standard terminal analyzer; a non-linear node detector, an infrared thermal imager, a near-field signal detector, a backscatter X-ray machine, and an endoscope are used to perform regional collaborative scanning; combined with big data and machine learning algorithms, an over-standard signal source is located, and if a suspicious device is found, it is disposed in accordance with the rules and evidence is collected. The present application solves the problems of low standardization, high false alarm rate, low implementation efficiency, and low detection comprehensiveness of vehicle privacy technology detection in an open environment. It is suitable for detection of eavesdropping, peeping, and positioning devices of classified vehicles.

The invention discloses a wireless network coverage automatic planning method and system based on line characteristics. The method comprises the following steps: establishing an interval initial line segmentation model according to discrete line mileage information; detecting and judging whether the distance between the adjacent road sections of the same type is smaller than a preset engineering threshold value or not, and if yes, combining the two adjacent physically separated road sections to obtain an optimized line segmentation model; traversing the optimized line segmentation model, and calculating the deployment mileage of all wireless devices of each road section based on a preset layout rule according to the road section type; on the basis of all wireless device deployment mileages of each road section, a wireless network device entity is automatically generated in a CAD drawing, and an annular wireless network topology is automatically constructed. By deeply integrating the line feature data, the design rule and the CAD platform, a complex manual design process is converted into an efficient, accurate and intelligent automatic process, and the quality and efficiency of wireless network design of linear engineering such as railways are improved.

The present application relates to the field of supply chain management information technology, and more particularly to a supplier dynamic scoring method and system; the method comprises: maintaining a supplier information list; according to a preset trigger strategy, automatically scanning the supplier information list, screening the suppliers in an enabled state, and batch generating corresponding assessment tasks; configuring a serial assessment process for each assessment task, automatically activating the next assessment node after the completion of the current assessment node, and the subsequent assessment node being inoperable before the activation of the previous assessment node; automatically obtaining objective scoring data from at least one external heterogeneous system, and receiving subjective scoring data input by corresponding processing personnel to obtain scoring data of each dimension; performing fusion calculation on the scoring data of each dimension according to the corresponding scoring weight of each dimension to generate a comprehensive supplier score, and determining a supplier rating result according to a preset scoring interval; the present application can realize fully automatic driving of the assessment process, and standardize and control the node flow and rejection behavior.

The invention relates to the technical field of construction management, discloses a real-time scheduling method and system for a vibro-replacement gravel pile mechanical group, and aims at solving the problems that an existing method is low in scheduling efficiency and slow in response change, and the scheme mainly comprises the steps that gravel pile tasks are sorted and decomposed into construction procedures executed in sequence; for a to-be-allocated construction process, screening matched idle candidate equipment according to process and mechanical constraints; on the basis of an improved parameterization greedy algorithm, comprehensive scores of all candidate devices are calculated through a target function, and the highest device is selected as the optimal device for allocation execution; monitoring the state and progress of the equipment in real time, rescreening and distributing when a mechanical fault occurs, and updating the plan and restarting the process when the plan is changed; updating the progress and judging whether the total project amount is completed or not, and if not, updating the plan based on the remaining tasks and circularly executing the steps until the construction is finished. According to the invention, the scheduling efficiency and the response speed and robustness of the scheduling system to the sudden dynamic state of the construction site are improved.

The invention discloses a switch parameter automatic configuration method suitable for an intelligent power distribution terminal, and relates to the technical field of intelligent power distribution automation. According to the method, a double-model collaborative architecture is adopted, during starting, a first model encodes a terminal model and scene information into a two-dimensional feature matrix through a pre-trained CNN model, exclusive standardized configuration is generated and issued, and an interface of a second model is reserved and then closed; the second model outputs dynamic configuration parameters by taking throughput maximization and time delay minimization as double targets based on working condition data acquired in real time through a Transform model improved by an attention mechanism, and online adaptive optimization of the model is realized by utilizing a hierarchical updating strategy; when the terminal is closed, the second model feeds back common working condition characteristics, and when the terminal is restarted, the first model CNN model database is updated. According to the valve, adaptability and superiority under multiple working condition scenes are achieved through a double-model collaborative architecture, and wide application value is achieved.

This invention discloses a method for recommending official document approval opinions based on semantic matching and role awareness, comprising the following steps: S1. Constructing a historical document vector database and a structured metadata database; S2. Obtaining documents to be approved and performing feature extraction and preliminary screening; S3. Performing text block-level similarity retrieval on the documents and aggregating them; S4. Calculating job matching scores based on job information; S5. Calculating the final recommendation score and sorting the documents in descending order based on the final recommendation score, outputting the top 5 with the highest scores as the recommended results. This invention improves recommendation accuracy by using a pre-trained semantic embedding model to understand the deep semantics of document content. Furthermore, through job matching score calculation and approval node position alignment mechanisms, it deeply binds the recommended approval opinions to specific approval positions and approval process positions, achieving personalized recommendations.

The invention discloses a dynamic optimization method and device for medical treatment resource reservation, equipment and a medium. The method comprises the following steps: acquiring and preprocessing multi-dimensional panoramic data; constructing a bimodal patient model of static clinical portrait and dynamic state evolution, and combining a dynamic weight clinical index evaluation and clinical priority dynamic quantification method to obtain clinical features of the patient; obtaining an inspection time length prediction result, and constructing an inspection operation constraint matrix to obtain an inspection operation constraint rule; an MADDPG multi-agent resource scheduling model under the CTDE framework is constructed, and a resource scheduling joint optimization strategy is obtained through multi-agent joint training; and generating a reservation scheme based on the resource scheduling joint optimization strategy, and performing rolling updating on the reservation scheme based on a look-ahead rolling rescheduling mechanism. The invention belongs to the field of diagnosis strategy optimization. According to the invention, a more reasonable doctor-seeing appointment strategy can be provided for the doctor-seeing personnel.