137 results about "Industry standard" patented technology

The invention relates to the technical field of building engineering, in particular to a building data processing method and system based on multiple building specifications, and the method comprises the steps: building model data standardization processing: extracting geometric attributes, material attributes and spatial topological relations of components through a BIM software interface, and generating model data in a standard format; constructing a multi-source specification rule tree, performing semantic analysis on national standard, local standard and industrial standard provisions, extracting triple constraint conditions, and fusing to generate a unified rule tree containing hierarchical relationships and conflict marks; on the basis of a spatial topology mapping relationship between the model and the rule tree, identifying a specification conflict and generating an optimization rule set according to a specification effectiveness level and a spatial attribute priority; and finally, real-time compliance verification is executed, and a three-dimensional compliance report including conflict positioning, article basis and correction suggestions is output. According to the method, multi-source specifications can be automatically adapted, model violation components are accurately recognized, a correction scheme is given, and the specification compliance and the verification efficiency in the design stage are improved.

The invention relates to the technical field of bidding and tendering, and provides a bidding document generation method, system and device and a storage medium, and the method comprises the steps: constructing a bidding knowledge graph through at least one of a policy and regulation library, a bidding document library and an industry standard library in a bidding knowledge base, and obtaining a bidding document generation result based on the project information of a bidding project and the bidding knowledge graph; and performing bid invitation file generation by applying the bid invitation file generation model to obtain the bid invitation file corresponding to the bid invitation project, thereby overcoming the defects of low efficiency, error proneness, poor flexibility and adaptability, knowledge update lagging and insufficient personalization in the existing bid invitation file production. A large model technology and a dynamically updated bid invitation knowledge graph are introduced to generate the bid invitation file, policies, regulations and project characteristics can be dynamically adapted, rapid and accurate bid invitation file generation is realized, the timeliness and reliability of the generated file are ensured, dependence on personal subjective experience is avoided, the flexibility is extremely high, and the application range is extremely wide.

The invention provides a defective part reprocessing decision-making method based on multi-target balance, which comprises the following steps: acquiring real-time defect rate data and part distribution information from production, analyzing a defect rate change trend and a part quantity fluctuation condition, and setting a standard defect threshold according to an industrial standard and historical data; if the defect rate exceeds a standard defect threshold value, identifying and fitting part performance parameters to obtain an average performance curve, calculating slope change and abrupt change amplitude of the curve, and determining time and influence range of a variation point; acquiring a factory processing load, combining the priority distribution sequence with the target part grouping scheme and the factory processing load to obtain a reprocessing flow configuration scheme, and identifying a balance point of resource consumption and a reprocessing coverage rate through simulation; and acquiring a real-time ratio of the reprocessing coverage rate and the resource consumption corresponding to the balance point, comparing the real-time ratio with a historical optimal ratio, and if the real-time ratio is not smaller than the historical optimal value, determining that a performance bottleneck risk exists, and analyzing a risk cause.

The invention relates to the technical field of artificial intelligence, and discloses a contract generation system and method based on multiple agents, and the system comprises a user interaction module which is used for receiving a contract demand inputted by a user and displaying a generation result; the knowledge base module is used for storing and retrieving legal terms, industry specifications and contract templates in a distributed manner; the agent cluster module comprises a demand analysis agent, a law expert agent, an industry expert agent, a risk assessment agent, a language optimization agent and a coordination control agent, the agents interact through a standardized communication protocol, and a coordination strategy is dynamically adjusted based on contract complexity calculated in real time; and full-process automation of contract generation is realized. Through cooperative work of multiple agents, the efficiency and quality of contract generation are improved, the law compliance and industry suitability of the contract are ensured, the risk in the contract generation process is reduced, and the user experience is improved.

The invention discloses an industry instruction fine tuning data set automatic generation method and system, and belongs to the technical field of artificial intelligence, S10: selecting industry standard document data, and analyzing the data into a plurality of paragraph texts as data sources according to chapters; s20, generating different types of questions for the paragraph text by using a large language model; s30, scoring the generated questions according to a scoring rule, and filtering the questions with scores lower than a preset threshold value; s40, the solvability and difficulty of the question are adjusted through a large language model, and the quality of the question is optimized, and S50, a first version answer of the question is generated by using the large language model, and the answer is optimized by using a hierarchical region optimization search algorithm; s60, constructing a sample pool through global and local selection methods, calculating a sample compression ratio and screening a data set; the method has the beneficial effects that through a highly automatic process and an optimization algorithm, the data set generation efficiency and quality are improved, the labeling cost is reduced, and support is provided for rapid deployment of a large language model in industry application.

The invention belongs to the technical field of construction technical scheme compilation, and particularly relates to an intelligent construction special scheme paragraph intelligent compilation method based on an information network, which comprises the following steps of: 1, dividing content processing into two categories according to different input contents: project general content and project characteristic content; step 2, vector embedding; step 3, index construction; step 4, index storage; step 5, carrying out similarity retrieval; and 6, outputting a retrieval result. According to the intelligent construction special scheme paragraph intelligent compilation method based on the information network, through automatic word segmentation, vector embedding and index construction, the construction special scheme compilation efficiency is greatly improved, and the time needed by manual compilation is shortened; historical schemes and standard requirements are utilized to ensure that the generated scheme content conforms to industrial standards and specifications, and the standardization degree of the schemes is improved; by distinguishing the project general content and the project characteristic content, a customized scheme can be generated according to the characteristics and requirements of a specific project.

A modular camera grip device and system that secures to a camera and integrates several methods to mount to several industry standard and product specific systems. The device also integrates access to attach and store a geolocation device for providing location and tracking functionality in a hidden and secure manner. The modular grip incorporates an acoustic port to enable acoustic properties of the geolocation device.

The invention discloses a higher vocational college quality evaluation system construction method based on production and teaching integration, and particularly relates to the technical field of production and teaching integration teaching assistance. Based on enterprise support resources and student actual receiving information, preset and actual knowledge network topological graphs are constructed respectively, and standardized knowledge points are extracted through natural language processing; generating a migration difficulty weight in combination with expert scores and industry standards, and forming a directed weighted graph; a support resource quality coefficient is generated by comparing a topological structure, semantic content and course stage integrating degree of the topological graph, calculating a skill knowledge matching degree, an aging synchronization rate and an operation integrating degree and performing conjoint analysis, and if the coefficient is lower than a threshold value, early warning is triggered to prompt optimization of resource supply; and by taking maximization of a quality coefficient as a target, redividing a course stage boundary based on a dynamic programming algorithm, correcting an operation integrating degree formula in combination with a migration path efficiency coefficient, preferentially adjusting a high migration difficulty stage, and realizing real-time alignment of a teaching rhythm and an industrial demand.

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.

The invention belongs to the field of digital twin technology and emergency management systems, and particularly relates to an emergency drill evaluation system and method based on a digital twin airport oil depot, and the system comprises a data acquisition and management module, an emergency drill scheme management module, an oil depot twin environment construction module, a simulation deduction module, and a comprehensive analysis and evaluation module. According to the emergency drill evaluation system and method based on the digital twin airport oil depot, through a multi-dimensional evaluation index system constructed by a comprehensive analysis and evaluation module, and in combination with an analytic hierarchy process and a fuzzy comprehensive evaluation method, a drill effect is quantitatively evaluated from multiple aspects of emergency response speed, resource utilization efficiency, loss control degree and the like; various problems in the drilling process can be deeply analyzed, the generated assessment report not only comprises detailed problem analysis, but also provides targeted improvement suggestions, and meanwhile, historical data and industry standards can be compared, so that assessment is more scientific and accurate, and powerful support is provided for emergency management decision making.

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 discloses a dynamic error correction method and device for a large-model long-sequence reasoning task, and belongs to the technical field of artificial intelligence large models, and the method comprises the steps: determining key nodes in a large-model reasoning chain according to a key decision-making link in a power business scene; configuring an evaluation system for each key node, and judging whether the output of the key node meets a set standard or not; when the output of a certain key node fails to meet the set standard, a self-reflection process is triggered, and large model parameters or strategies are adjusted to regenerate improved output; iteratively executing the self-reflection process for multiple times until the improvement output meets a set standard or reaches a preset maximum reflection frequency; integrating the output of each key node passing the self-reflection test, and generating a final response conforming to the power industry standard; according to the method, the problem of accumulative errors and the problem that real automation is difficult to realize due to unstable output in the existing large model technology are solved through a multi-stage self-reflection mechanism.

The invention relates to the technical field of project management, in particular to an intelligent project management method and system based on home decoration construction, and the method comprises the steps: collecting the initial demand data of a home decoration construction project; splitting the home decoration construction project into a plurality of different construction subtasks; on the basis of a preset intelligent algorithm, historical project data and a preset industry standard are called, needed artificial resource data are matched for all the subtasks on the basis of a preset matching rule, and a construction progress plan is generated in combination with the dependency relationship between the subtasks; executing a home decoration construction project based on the construction progress plan, and collecting real-time progress data of the home decoration construction project; comparing the real-time progress data with the construction progress plan, and outputting a construction deviation report; judging whether the project meets an early warning condition or not; and when an early warning condition is met, positioning an early warning position and sending an early warning notice to the project management end. The method has the effect of remarkably reducing the construction shutdown rate, the rework rate and the construction period deviation.

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 a contract auditing method and device based on an operation and maintenance large model, equipment and a medium, and relates to the field of artificial intelligence, and the method comprises the steps: integrating a historical purchase contract, a target law regulation, a preset industry standard and preset related data to generate historical contract auditing data, performing data marking on the historical contract auditing data to generate historical label data; inputting the historical contract auditing data and the historical label data into the initial operation and maintenance large model for training to obtain a to-be-tested operation and maintenance large model, and dividing the historical contract auditing data into a verification set and a test set according to a preset division mode, performing performance test operation on the to-be-tested operation and maintenance large model according to the verification set and the test set to obtain a target operation and maintenance large model; and obtaining a to-be-audited purchase contract, extracting target key information by using the target operation and maintenance large model, identifying a target risk point based on the target key information, and quantitatively evaluating the target risk point according to a preset risk matrix to generate a purchase contract audit report. And the pre-auditing efficiency of the purchase contract is improved.

The invention discloses a rehabilitation assistive device assessment method based on multi-agent and RAG technology. The method comprises the following steps: constructing a multi-agent system which comprises a rehabilitation physician agent, an auxiliary tool engineer agent, a nurse agent and a user interaction agent; building a dynamic knowledge base based on an RAG technology, wherein the dynamic knowledge base comprises an auxiliary tool product database, a rehabilitation medicine knowledge base, a clinical case base and an industrial standard base; interacting with the user, and dynamically adjusting the question mode, the language style and the question sequence according to the user type and the answer content; retrieving in a dynamic knowledge base according to the obtained information, and respectively outputting professional evaluation suggestions; and according to the collaborative decision model, integrating professional evaluation suggestions of the rehabilitation physician intelligent agent, the auxiliary tool engineer intelligent agent and the nursing personnel intelligent agent to generate a multi-dimensional auxiliary tool evaluation report and recommendation scheme. According to the method, the efficiency of the evaluation process of the assistive device is higher, and the evaluation result is more accurate and effective.

The invention provides an industry specification text processing method, computer equipment and a medium. The industry specification text processing method comprises the steps of obtaining an unstructured industry specification text; utilizing the neural network model to extract a design object, a design attribute and a design constraint condition in the industry specification text; based on the design object, the design attribute and the design constraint condition, generating a corresponding rule condition statement; and generating a rule base of the industry specification text by using the rule condition statement, the rule base being used for constraining the design scheme. According to the method, the design object, the design attribute and the design constraint condition in the unstructured industry specification text are extracted through the neural network model, and the corresponding rule condition statement and the rule base of the industry specification text are generated, so that use and check of a designer are facilitated, and the generation efficiency of a qualified design scheme is improved.

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 discloses a teaching interaction method, a cloud server and an aircraft, and the teaching interaction method is applied to the cloud server, and comprises the steps: responding to the received preset information, obtaining the inspection list teaching data corresponding to the preset information according to a preset rule, and the preset information comprises an interaction request and / or the operation data of the aircraft; the inspection list teaching data comprises an inspection task of an aircraft, safety and operation standards of an operator, design specifications of an aircraft manufacturer and industrial standards; sending the checklist teaching data to a user side to control the user side to display the checklist teaching data; and receiving an interaction result of the user side for the checklist teaching data, and making a response. Therefore, according to the technical scheme of the invention, a teaching training mode with high flexibility and low cost can be provided, so that the use training of the aircraft checklist can be better realized.

A multi-node, multi-container cluster system that generates, aggregates, and manages log files from services and components to be used for audit logs and to debug and perform other serviceability tasks provided by a vendor of the cluster system. Logs are collected from all components of the system and aggregated using a central persistent volume for non-critical applications and additional dedicated persistent volumes for critical tasks. The logs are implemented to minimize the risk of losing log lines and reduce resource overheads. Logs are formatted to provide a consistent logging format utilizing industry standard data formats, such as timestamps. Log files are stored persistently outside of pods to ensure high availability for any audit log management needs.

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 a method for connecting longitudinal steel bars of fabricated concrete prefabricated components, which comprises the following steps of: preparing a rectangular metal frame body with connecting holes at two ends, and respectively connecting the two ends of the frame body structure with the longitudinal steel bars of the two prefabricated components to be assembled by using a straight thread connection method; therefore, the problems of centering deviation and difficulty in connection of the longitudinal steel bars of the fabricated concrete prefabricated component are solved, and meanwhile, the requirements of the existing industrial standard of steel bar mechanical connection technical regulations JGJ 107 in China on a steel bar mechanical connection joint can be met. According to the method, the problem of unreliable connection caused by centering deviation of the longitudinal steel bars of the two prefabricated parts is solved by preparing the frame body matched with the centering deviation value of the steel bars, the connection method is simple in step, needed materials are simple and easy to obtain, the installation efficiency of longitudinal steel bar connection of the fabricated concrete prefabricated parts can be improved, and the purposes of simple construction operation and low cost are achieved. The installation quality is guaranteed, and the stress performance of the connector is improved.

The invention provides an APQP-based automobile project management system and method. The system comprises an entry setting module used for carrying out product characteristic or process characteristic classification on various parts in an automobile project; the template setting module is used for pre-storing at least one APQP template and associating each APQP template with a project demand; the project group module is used for building a project management team and distributing member roles and permissions; the project planning module is used for acquiring five design stages of the APQP and generating a project plan table according to the five design stages; the drawing file management module is used for storing and managing drawings and / or documents related to automobile projects; the query module is used for providing information query of characteristic classification, project progress and historical projects; the additional data module is used for collecting and managing industrial standards, laws and regulations related to automobile projects; and the basic information module is used for managing various project information. According to the embodiment of the invention, the efficiency and accuracy of product quality planning can be improved.

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.

The invention discloses a test case generation method and device, a medium and a product, and relates to the technical field of automatic testing, and the test case generation method comprises the steps: obtaining a Schema file of a financial industry specification standard for generating a test case; under the condition that the Schema file is a first version Schema file, analyzing the first version Schema file to obtain first target field information; under the condition that the Schema file is a second version Schema file, comparing an old version Schema file with the second version Schema file, determining difference contents, and analyzing the difference contents to obtain first target field information; and generating a test case according to the first target field information. According to the invention, automatic generation of the corresponding test case after the financial industry specification standard is changed is realized.

A novel, simple, and low-cost oscillator solution that meets new industry standards and addresses the growing issue of GNSS vulnerability is described. The solution identifies the technologies and products that can provide protection against GNSS anomalies and outages. The solution is based on a simple low-cost oscillator with holdover capability using a self-disciplined circuit that supports future IoT devices and network.

This invention discloses a rapid assessment and precise repair method for the degree of pulverization in ballastless track bed concrete. By preparing concrete reference specimens of different strength grades, a correlation curve between pull-out strength and overall strength is established. Combined with probe diameter selection, surface grinding, and adhesive bonding techniques, a non-destructive and rapid detection of the pulverized layer is achieved. Specifically, the method includes: a preliminary preparation stage where specimens are prepared and a pull-out strength-strength model is established; an evaluation stage where layer-by-layer pull-out testing combined with precise hollow drilling quantitatively determines the depth and extent of pulverization; and a repair stage where the pulverized layer is replaced with a high-toughness material and a drainage slope is installed. This invention solves the problems of low efficiency, significant damage, and inaccurate repair associated with existing methods. Through parametric design and a modular system, it significantly improves detection accuracy and repair effectiveness. It is applicable to the maintenance of concrete structures such as high-speed railway track base plates, meets industry standards, and has the advantages of simple operation, low cost, and strong adaptability.

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.