66 results about "Industry standard" patented technology

The invention relates to the technical field of translation, and discloses a translation calibration method based on big data, which can accurately identify semantic deviation in a multi-meaning scene, for example, accurately judge that'cell 'should be translated into'cell' instead of'house 'in a biological text. The system can detect the language field mismatching problem of spoken expression in the official file, and provides term correction suggestions conforming to industry standards. Aiming at technical terms with multiple meanings in legal clauses, the calibration process can be combined with context window analysis to select an optimal translation scheme, the omission ratio of manual review is remarkably reduced, continuous optimization and cross-language knowledge sharing of a translation calibration model are realized, and the accuracy of translation calibration is improved. The problems that a traditional system is lagged in updating and low-resource language performance is insufficient are solved.

A computing platform performs automated due diligence by acquiring project scope information and documents, standardizing all data across all document types into a uniform format optimized for analysis and subjecting the data to repeated querying by large language model agents to triangulate it against a body of human content expertise coded into the platform. The platform compares variables with a project proforma, verifies permits by parsing permit data and cross checking a permitting authority portal, evaluates design completeness by detecting standards of readiness status, and measures the bankability of project agreements compared to industry standards. The platform computes environmental, social, and governance metrics, assesses counterparty risk and community sentiment using searches of public sources, and validates a reported capital stack by analyzing documents and applying industry standards thereto. The platform calculates risk metrics, applies weights to produce two scores, and generates a report that includes remediation steps.

The invention is suitable for the technical field of industrial automation and artificial intelligence, and provides an instrument construction intelligent recommendation system and method based on LangGraph, LLM and RAG, the system comprises a user interaction module, a LangGraph task control module, a hybrid intelligent classification module, an enhanced RAG module, an LLM recommendation generation module and a comprehensive evaluation system; the method comprises the steps that an instrument list and an instruction uploaded by a user are obtained, a task execution graph is constructed through LangGraph, subtasks are decomposed, after instrument list data are analyzed, a multi-level mixed strategy is adopted to classify instruments, industry standards and historical documents are retrieved through enhanced RAG based on a classification result, and construction recommendation texts are generated in combination with LLM. And finally evaluating and optimizing through a comprehensive evaluation module. According to the method, automation and precision of instrument construction recommendation are realized, the engineering efficiency and compliance are improved, the labor cost is reduced, and the method has a good industrial popularization prospect.

The invention discloses an electronic manufacturing industry production line UPH intelligent prediction method, system, device and medium, and the method can learn a deep interaction relationship between a line body and a product through adversarial training through a generator of a collaborative filtering generative adversarial network, so that even if a new product lacks enough historical data, the production line can be predicted more accurately. The generator can also find a mode similar to other line bodies in a potential space and generate a relatively reasonable UPH, and for an old product with a theoretical UPH and an actual UPH, the relatively reasonable UPH can be generated only by correspondingly inputting a current line body feature vector and the theoretical UPH of the product in the corresponding line body; according to the method, the difficulty that in the initial production stage of a new product, due to lack of reference bases, UPH can be generally formulated only according to the same industry standard or the average yield per hour of the production line can be solved; and meanwhile, the problem of UPH updating hysteresis caused by personnel or equipment can be solved.

The invention belongs to the technical field of data mining, and discloses a standard necessary patent prediction method based on a large language model and a related device. The method comprises the following steps: acquiring a feature group of a patent text to be predicted; inputting the feature group of the patent text to be predicted into a pre-trained large language model for prediction, and obtaining a standard necessary patent prediction result based on the large language model; wherein the pre-trained large language model is obtained by training a general large language model based on a plurality of standard necessary patents. According to the model, a domain knowledge enhanced large language model and a dynamic time sequence analysis framework are fused, and patent domain pre-training and multi-source heterogeneous data fusion are introduced, so that the patent text understanding precision of the model is improved; and meanwhile, a dynamic prediction mechanism is constructed in combination with industrial standard evolution data and technology development trend data, so that prospective pre-judgment of standard necessary patents is realized, and powerful support is provided for enterprise patent strategy formulation, technology research and development decision and market competition.

The invention discloses an intelligent object searching and cleaning method based on SLAM and RRT technologies, belongs to the technical field of intelligent robots, and aims at solving the problems that an existing product is single in function, poor in environmental adaptability, low in intelligence and lack of industrial standards. The robot comprises an object searching module, a cleaning module, a control module, an interaction module and an industrial standard adaptation module, the object searching module achieves differentiated grabbing through multi-sensor fusion, SLAM + improved RRT navigation and optimized YOLOv5s recognition in cooperation with a replaceable mechanical arm, the cleaning module comprises a replaceable cleaning assembly and a material self-adaption and stain detection unit, a robot body is designed in an IP67 waterproof and foldable mode, the robot body is adapted to a wet / narrow space, and the robot body is provided with an intelligent control module. The interaction module achieves real-time control through APP dual connection and H.265 low-delay video transmission, indexes are standardized through modularization, and a valuables payment mechanism is established. Cleaning and object searching are integrated, the object searching efficiency is improved, the coverage rate of cleaning blind areas is high, the robot is suitable for family and commercial scenes, industry standardization is promoted, and the robot has high practicability and market value.

The invention discloses a method for improving an industrial safety education training effect based on an AI large model. The method comprises the following steps: analyzing, vectorizing and storing latest industrial safety related documents to obtain a safety knowledge base; the related documents comprise industrial standard specifications, laws and regulations and enterprise specifications related to industrial safety; the knowledge base comprises a plurality of sub knowledge bases with different themes and different types; matching an associated target sub-knowledge base from the safety knowledge base based on the training plan, so as to generate an employee training task based on the target sub-knowledge base; based on the training task, utilizing an AI large model to generate a training problem in the training process, and using the training problem for employee training to obtain a training result of the employee; and based on the training result, using an AI large model to generate test questions corresponding to different employees, and examining the employees based on the test questions to obtain an examination result. The training effect of employee safety education can be improved, and potential safety hazards are reduced.

According to the personalized recommendation system and method for the digital media art CAD design, user operation behaviors are captured, periodic laws are mined in combination with time sequence analysis, user portraits are updated, color distribution and geometric morphology characteristics are extracted through OpenCV, a knowledge graph is generated in combination with a BERT + ResNet multi-mode learning model, and the personalized recommendation system and method for the digital media art CAD design are obtained. A relation network between nodes is expanded, a design trend is analyzed through a crawler technology and social network data, a reinforcement learning optimization strategy is adopted, a knowledge graph is updated, a logic dependency relationship between CAD design parameters is analyzed, finite element analysis results and industry standards are integrated, an updated feasibility graph is generated, and a design scheme is encoded into a gene sequence; generating a candidate scheme through crossover variation, calculating the style deviation degree between the recommendation scheme and the existing works, tracking the adoption rate and the modification frequency, and evaluating the recommendation strategy effect through an A / B test.

Card edge connectors that are reliable and robust against impacts by external forces while having narrower widths by industry standards. A connector includes a housing having a body with a slot elongated longitudinally. The housing has a pair of towers extending vertically from opposite ends of the longitudinal slot. Each tower has a slot elongated vertically, and is narrower than the body in a transverse direction. The longitudinal slot and the vertical slots are configured to receive edges of an electronic card. The connector has a pair of reinforcing members. Each reinforcing member is at least partially disposed on a tower and configured to support a joint between the tower and the body of the housing. Such a configuration can increase robustness of the connector at the joints and therefore reduce the risks of deforming or cracking the towers when the connector is impacted by an external force.

A system and method for validating aviation regulatory compliance is disclosed. The system employs a method using AI to check aviation document compliance with regulations. It parses documents locally, compares semantically via hybrid AI, identifies gaps, offers remediation options from original texts, updates scores, and generates reports, ensuring efficiency and privacy.

The invention relates to the technical field of power system automation, and discloses a transformer substation protection information check report automatic generation method, system, equipment and medium, and the method comprises the steps: obtaining a fault recording file of a protection device, analyzing a fault report file, extracting protection motion information, generating a complete protection configuration matrix table based on a transformer substation configuration file, and storing the complete protection configuration matrix table. By analyzing pressing plate control words in a constant value list, identifying the on-off state of each protection function, marking the input protection in a table, intelligently matching the fault recording fluctuation condition in the acceptance period with a protection configuration matrix, automatically identifying the executed, non-executed and abnormally executed protection items, and adopting a natural language processing technology, the protection function of the protection function is automatically identified. And converting the technical data into text description conforming to industry specifications, and finally generating a formatted check report containing a complete protection configuration table. The completeness and accuracy of protection information checking are ensured, and the problem of low efficiency of a traditional manual checking mode is fundamentally solved.

This invention discloses a gas pipe fitting with a self-sealing connection structure, relating to the field of gas pipe fittings. Addressing the problem of poor installation and gas leakage in existing small-diameter gas pipes during threaded connections due to the lack of industry standards for the use of necessary auxiliary sealing materials such as PTFE tape and sealant, the invention proposes the following solution: It includes a first pipe, with a second pipe at one end. The first pipe has a first hole along its axial direction, and the second pipe has a second hole along its axial direction. Sealing grooves are formed around the inner walls of the first and second pipes at their adjacent ends, within the first and second holes. This invention features a novel structure and effectively solves the problem of poor installation and gas leakage in existing small-diameter gas pipes during threaded connections due to the lack of industry standards for the use of necessary auxiliary sealing materials such as PTFE tape and sealant.

The utility model discloses a rapid demolding structure for an automobile mold, and belongs to the field of automobile mold production. The rapid demolding structure comprises an automobile bottom mold, a mold making cavity is formed in the upper surface of the automobile bottom mold, concave grooves are formed in the two sides, close to the mold making cavity, of the automobile bottom mold, and side fixing plates are fixedly installed on the surfaces, close to the concave grooves, of the mold making cavity; by means of secondary ejection of the jacking plate and the ejector pin column, in the rapid demolding process, the product quality is prone to being affected by demolding force, the secondary ejection structure can reasonably distribute the demolding force, the situation that the product is damaged due to single-time overlarge demolding force is avoided, small demolding force evenly acts on the product during primary ejection, the periphery of the product is slowly separated from a mold, and the product quality is improved. During secondary ejection, the ejection position and force are accurately adjusted according to the specific shape and structural characteristics of the product, so that the product is ensured to be stably and completely separated from the mold, the defects of scratches, deformation and the like on the surface of the automobile product are prevented, the product quality is ensured to meet the strict automobile industry standard, and the yield of the product is improved.

1. The name of the present design product: civil aviation industry standard technical review graphical user interface for electronic equipment. 2. The use of the present design product: for an electronic device. 3. The design points of the present design product: the content of the graphical user interface display in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for display in a civil aviation industry standard technical review device, when a civil aviation industry standard technical review expert conducts review, the work of reviewing and reviewing the drafting of standard documents, drafting of review opinions, and technical review voting needs to be completed in the civil aviation industry technical review device. When the technical review expert is invited to conduct standard technical review, enter the technical review system as shown in the front view; the technical review expert clicks any area of the front view, enters the technical review work interface, enters interface change state diagram 1; interface change state diagram 1 is a technical review work task display, the right side of the task bar shows the activation state of the current task through the traffic light, the green light indicates that the task is activated, and the red light indicates that the task is not activated. Click the right green button to enter interface change state diagram 2; interface change state diagram 2 is the review interface of the current review task, which can edit and add comments, delete comments, add markers, delete markers, save opinions, click "next step" below the interface, enter interface change state diagram 3; interface change state diagram 3 is a review opinion filling interface, which can add, delete and save opinions above the table, click "next step" below the page, enter interface change state diagram 4; interface change state diagram 4 is a standard review voting interface, after clicking "confirm and submit" in the upper left corner of the table, the voting button in the middle and lower part is visible, select "agree", "agree, with reservations", "disagree", "disagree, agree after adopting opinions" or "abstain", and then click "next step" to enter interface change state diagram 5; interface change state diagram 5 is a standard review opinion signature interface, the left side is the standard review opinion content formed by summarizing, for experts to browse and confirm; the upper half of the right side is edited by the expert's name, position / title, work unit and contact information, and the lower half provides a signature panel for the expert to sign. After clicking "confirm and sign", enter interface change state diagram 6; interface change state 6 is the end interface of the technical review expert after completing the current review task, if the technical review expert has no unfinished review task, it will stay on this interface; if the technical expert still has unfinished review tasks, it will return to interface change state 1.

This system improves the efficiency and accuracy of CAD drawing review in design work. [Solution] The server receives the uploaded design drawing data, and the server's AI analysis module decodes the drawing file and identifies each design element. The server compares the analyzed design elements with existing design standards and industry standards. Based on the comparison results, the server generates proposed corrections for inconsistencies. Using an AI model, it proposes the optimal correction method and creates specific correction proposals that clearly indicate the areas to be corrected.

The invention discloses a single-head anti-loosening fastening device and a fastening method. The single-head anti-loosening fastening device comprises a bolt and a bolt clamping screw, the non-overlapping part of the bolt head and the bolt body in the axial direction is provided with two or more through bolt clamping screw holes parallel to the axial direction, and the bolt clamping screw holes are used for being connected with bolt clamping screws in a threaded fit mode; the diameter of the bolt clamp tail of the bolt clamp screw shrinks towards the tail end, and the bolt clamp screw is embedded into a locking groove of a contacted fastening object and is bound by sequentially penetrating through the bolt clamp tail through an iron wire. On the premise that the single-head fastening device is convenient and reliable to install, the requirements of railway industry standards are met and exceeded, the loosening torque is larger than the fastening torque, mucilage glue does not need to be smeared, using is convenient, the single-head fastening device can be put into use immediately after fastening, and loosening and disassembling are easy, convenient and rapid compared with an existing fastening device.

The application discloses a rehabilitation auxiliary tool evaluation method based on multi-agent and RAG technology. The method comprises the following steps: constructing a multi-agent system, including a rehabilitation doctor agent, an auxiliary tool engineer agent, a nursing staff agent and a user interaction agent; building a dynamic knowledge base based on RAG technology, including an auxiliary tool product database, a rehabilitation medical knowledge base, a clinical case database and an industry standard database; interacting with the user, and dynamically adjusting the questioning method, language style and question order according to the user type and answer content; retrieving in the dynamic knowledge base according to the obtained information, and respectively outputting professional evaluation opinions; and integrating the professional evaluation opinions of the rehabilitation doctor agent, the auxiliary tool engineer agent and the nursing staff agent according to a collaborative decision-making model to generate a multi-dimensional auxiliary tool evaluation report and a recommended scheme. The above method can make the evaluation process of the auxiliary tool more efficient, and the evaluation result more accurate and effective.

The invention provides an automatic generation method and system for scenarized metadata endowed by a language large model, and belongs to the technical field of data processing. The method specifically comprises the steps that a data preprocessing module is responsible for generating business terms conforming to scene specifications and definitions of the business terms, and establishing a preliminary semantic association network among the business terms; the reasoning module is responsible for automatically deducing a calculation formula, a statistical dimension and a calculation period of the business terms based on the preliminary semantic association network, and further deriving derivative business knowledge of the business terms; the semantic mapping module is responsible for establishing a precise mapping relation between technical attribute information and business terms to form integrated metadata, the verification module is responsible for establishing a rule, semantic and logic three-layer verification system, and the generated metadata is compared with historical versions, industry standards and business rules by using a language large model for analysis to form a verification result. And the metadata passing the verification is published to the metadata warehouse, so that the application value of the extraction result of the metadata is improved.

The invention provides an intelligent generation method and system for a test case of a power grid business management system, and the method comprises the steps: obtaining power grid business knowledge from a knowledge service pedestal of the power grid business management system through a knowledge retrieval module in an intelligent agent based on a test demand document; based on the power grid business knowledge and the test requirement document, a business rule analysis module of the intelligent agent is used for analysis to generate a core test point and a generation instruction; driving a large language model to generate an initial test case based on the core test point and the generation instruction; and sending a trigger event in the initial test case to a fault deduction engine for fault deduction, generating a potential fault chain, inputting the fault chain into a large language model to generate a derivative test case, and obtaining a target test case in combination with the initial test case. Professional knowledge and industry specifications in the power grid field can be deeply integrated, and the industry conformity of the test case is improved.

The invention discloses a digital reproduction verification method and system for disassembly and assembly of power plant equipment, and relates to the related technical field of power plant equipment verification, and the method comprises the steps: scanning an entity three-dimensional model of target power plant equipment, and carrying out the disassembly and assembly analysis according to a power industry standard; building a power plant disassembly and assembly environment, and importing the equipment-part-process three-level correlation model to carry out disassembly and assembly path analysis; performing principle specification matching according to an equipment disassembly and assembly process path to obtain a disassembly and assembly path matching instruction, and converting the disassembly and assembly path matching instruction into disassembly and assembly path interaction voice; and carrying out digital disassembly and assembly reproduction and maintenance track verification on the entity three-dimensional model based on the equipment disassembly and assembly process path and the disassembly and assembly path interaction voice. The technical problems of poor accuracy, safety and efficiency of power plant equipment disassembly and assembly caused by lack of voice interaction support and real-time verification capability and insufficient standardization of equipment disassembly and assembly in the prior art are solved, and the technical effects of standard intelligent equipment disassembly and assembly and improvement of the standardization, operation safety and maintenance efficiency of power plant equipment disassembly and assembly are achieved.

The application provides an adjustable rigid buffering structure, which comprises a fixing part, a clamp, a tightening screw and a pressing ring, the fixing part is provided with a through hole, and a plurality of screw holes are uniformly distributed along the circumference of the through hole; the outer wall of the clamp on one side in the axial direction is designed with a step structure, which cooperates with the through hole of the fixing part to limit the axial movement of the clamp relative to the fixing part; a plurality of tightening teeth are uniformly distributed along the circumferential direction on the other side of the clamp in the axial direction, the tightening teeth extend along the axial direction of the clamp, and the gap between the adjacent two parts of the tightening teeth is in V shape; a movable straight cylinder passes through the clamp; the pressing ring is provided with a screw hole at the position corresponding to the screw hole of the fixing part, and the tightening screw passing through the screw hole of the pressing ring and the screw hole of the fixing part changes the axial distance between the pressing ring and the fixing part by rotating, so as to adjust the friction between the tightening teeth and the movable straight cylinder. The application has simple structure, adjustable friction, does not use the spring structure and the high-temperature-resistant rubber pad structure which are prohibited in the industry standard, and can meet the use of special aircraft.

The invention discloses a scientific and technological achievement innovation degree evaluation method based on fuzzy comprehensive evaluation. The method comprises the steps that heterogeneous data such as technical indexes and market applications of scientific and technological achievements are collected and stored through a heterogeneous data fuzzy calculation platform; a coupling rough set fuzzy evaluation model is used for screening core evaluation indexes, and index fuzzy membership is optimized through a dynamic PSO fuzzy membership optimization algorithm; performing multi-source information fusion on the optimized membership value by using an evidence theory fuzzy fusion algorithm, and constructing a fuzzy comprehensive evaluation model in combination with a core index system to generate a preliminary evaluation result; and finally, calling historical and industrial standard data to verify the preliminary result through the platform, and outputting a final evaluation result. According to the method, advantages of various algorithms and platforms are integrated, the whole evaluation process is covered, the problems that an existing method is inaccurate in index screening, insufficient in data fusion, insufficient in evaluation precision and the like are solved, systematicness, objectivity and precision of evaluation are improved, and reliable support is provided for scientific and technological achievement innovation degree evaluation.

The application provides an enterprise industry classification method and device, and relates to the technical field of data processing. The method comprises the following steps: extracting independent keywords and enterprise industry classification parameters corresponding to each industry from an enterprise industry standard classification file; determining the number of target independent keywords of each target industry matched with the enterprise to be classified according to whether the enterprise name of the enterprise to be classified contains the independent keywords; and calculating the matching scores of the enterprise to be classified corresponding to each target industry according to the number of target independent keywords, the number of occurrences, the total number of keywords, the number of keywords and the number of times, and determining the target industry with the highest matching score as the enterprise industry classification of the enterprise to be classified. The device executes the above method. The enterprise industry classification method provided in the application can improve the universality of enterprise industry classification.

The invention discloses a firework and cracker full-life-cycle state monitoring and intelligent management and control system and method, and relates to the technical field of crossing of the Internet of Things, intelligent safety and supply chain management, and the system comprises an electronic tag function module based on a system architecture, a four-dimensional condition interlocking guide module, and an intelligent firework safety setting-off application module. The system is characterized in that the electronic tag function module is used for carrying out full-link function design on the electronic tag; the four-dimensional condition interlocking guide module is used for collecting and judging four-dimensional conditions and generating active safety distance guide; the intelligent firework safe setting-off application module provides specific application guidance for intelligent firework safe setting-off. Compared with the prior art, the system has the advantages of architectural innovation, business model innovation, safety normal form innovation and industrial standard innovation.

1. The name of the design product: concentricity detection table. 2. The use of the design product: mainly used for detecting the axis coaxial error of cylindrical, conical and other rotary workpieces (such as shafts, sleeves, disc parts), that is, judging whether the center axes of different parts of the workpiece coincide or within the allowable deviation range. Meet the requirements of industry standards, in the field of automobile, machinery, ship, aerospace, etc., according to the relevant standards (such as GB / T 1184) to judge the concentricity of parts. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The rear view has been shown in other views, and the bottom view of the design product is not easily visible or not visible during use, so the top view is omitted.

The invention discloses a manufacturing process for precision machining of a high-precision refractor, and relates to the technical field of lens manufacturing, and the manufacturing process comprises the following steps: S1, screening and preprocessing optical glass raw materials, selecting a base material according to a lens application scene, and performing defect detection, stress relief and rough blank cutting after the base material is selected; according to the manufacturing process for precision machining of the high-precision refractor, in the raw material pretreatment stage, 20 MHz ultrasonic detection and less than or equal to 5 MPa stress control are adopted, and the influence of base material defects is avoided from the source; in the machining process, a five-axis linkage machining path is combined with a regional machining mode of first outer circle and then curved surface, a diamond coating tool is matched, the rough machining contour deviation is controlled to be 50-100 microns, after accurate grinding, refining is conducted through 1000-2000-mesh gradient grinding materials, then ion beam polishing and fine trimming are conducted, and finally the key indexes such as surface shape precision and surface roughness far exceed the industrial standard.

The invention discloses a method for determining the zero point of clamping force of an electronic mechanical braking system, and relates to the technical field of electronic mechanical braking systems. The control accuracy of the zero position of the clamping force is improved. The method specifically comprises the following steps: establishing a Simulink model capable of realizing the control method for determining the zero point of the clamping force of the electronic mechanical braking system in an industrial standard modeling tool MATLAB or Simulink software environment; according to the method, the clamping force is estimated based on the q-axis current of the motor, and clamping force closed-loop PI control and position closed-loop PI control are combined. After the method for determining the zero point of the clamping force is adopted in the EMB system, the position of the zero point of the clamping force can be accurately found during operation of the EMB system, so that the control precision of the clamping force is improved, meanwhile, the problem of vehicle driving dragging caused by the inaccurate position of the zero point is solved, the braking energy consumption can be effectively reduced, and the mechanical loss is reduced.

The invention belongs to the field of civil aircraft safety evaluation, and particularly relates to a double-track parallel and tracing correlation analysis method fusing FTA and FMEA. Comprising the steps of S1, performing FMEA analysis by taking a product architecture, a circuit principle and an industrial standard as input, and outputting an analysis result of each level; s2, taking the product function list, the design architecture and the security demand as input, taking SAE APR4761 as an analysis standard, performing FTA analysis from top to bottom, and determining a security quantitative index of a bottom event and a minimum cut set of a top event; and S3, based on the analysis results of the FMEA and the FTA, mutual tracing, including bottom event tracing and top event requirement tracing, of failure modes and safety requirements of the FMEA and the FTA is carried out.

A method and system to forecast the labor required for an industrial or construction job based on industry standard job classifications and key job impact factors that affect the labor required to do a job. A new job description is created for a job and matched to an industry standard job classification which has an identification of details pertaining to the industry standard job. A historical job database provides a baseline estimate of the labor required to complete the job based on the new job requirements and the baseline estimate is adjusted to provide a more accurate labor estimate by incorporating the job impact factors that impact the labor required for the job. A work digest for the job can be created and provided to a worker.

This invention relates to a collaborative processing system for welding machine inspection tasks based on process control. The system includes: acquiring basic data offline, combining timestamp synchronization and automatic retransmission mechanisms to obtain well-organized, multi-dimensional raw data; eliminating abnormal data through a process threshold library and statistical models, performing dimensional unification and standardization conversion according to industry standards, parsing feature parameters and matching quality rating labels, and simultaneously constructing a blockchain traceability chain containing equipment, personnel, and operation records; dynamically allocating inspection equipment and personnel based on the real-time status of a resource pool, monitoring task progress and pushing notifications through node thresholds, and linking multiple roles for cross-stage collaboration; automatically capturing data to generate compliant inspection reports, archiving the entire process data based on the unique identifier of the welding machine, generating a visualized traceability map and multi-dimensional statistical results, thus achieving compliant delivery of welding machine inspection tasks and full-lifecycle tracking management of equipment.