53 results about "Checklist" patented technology

The invention discloses a historical revision trace-based contract review logic automatic generation method and system, and the key points of the technical scheme are that the system comprises a contract version data extraction module; the difference comparison module is used for extracting a revised text block and a difference tuple; the semantic analysis module is used for performing semantic analysis on the difference tuple and generating difference elements; the review logic generation module is used for automatically generating review logic according to the difference elements and generating corresponding review points; an examination list management module; a similarity calculation module; a contract processing and checking module; according to the method, the automation of contract review is realized, the cost of manual intervention is reduced, the review efficiency is improved, and important improvement is made in the aspects of utilization of historical revision traces and knowledge management. The system can automatically extract historical review experience, generate standardized review logic, continuously update the review list, and promote intellectualization and systematization of the contract review process.

A method to identify which safety leading indicators are not capturing hazards during safety inspections that later contribute to safety incidents and to identify blind spots in safety inspections. The method includes inputting a plurality of incident reports from the worksite and a plurality of inspection reports from the worksite into a system that uses machine learning (ML) and artificial intelligence (AI); identifying socio-technical factors influencing safety risks at the worksite using unsupervised clustering for topic modeling; evaluating semantic similarity between the plurality of incident report and the plurality of inspection reports conducted in a preceding time period to detect missing socio-technical factors not captured during safety inspections; and providing the identified socio-technical factors previously not captured during safety inspections to a stakeholder for development of modified inspection checklists tailored to capture the identified socio-technical factors previously not captured during safety inspection.

The invention relates to the technical field of building material performance detection, in particular to an integrated house steel structure performance detection method and system, and the method comprises the steps: 1, constructing a full-period load spectrum; step 2, multi-stage load simulation; step 3, multi-source dynamic monitoring: arranging a strain gauge array at a plugging node to capture a micro strain gradient, measuring three-way relative displacement through a cross-joint laser displacement group, and positioning a crack signal by adopting an acoustic emission sensor array; step 4, damage coupling analysis: aligning multi-source monitoring data to generate a space-time matrix, calculating a fatigue damage factor, a connection failure factor and a crack propagation factor, and inputting a neural network model to output a damage thermodynamic diagram; and step 5, performance degradation evaluation: combining the damage thermodynamic diagram and the load occurrence frequency to calculate the remaining life and generate a maintenance list. According to the method, through combination of an advanced monitoring technology and an intelligent analysis method, accurate monitoring and performance evaluation of the whole life cycle of the house steel structure are realized.

The present invention discloses a method, system, and electronic equipment for intelligent rail transit subway operation and maintenance management, relating to the field of operation and maintenance management technology. The method comprises: determining service forms and establishing multidimensional management targets for target scenarios based on an operation and maintenance checklist; constructing a subway full-factor data acquisition network to collect operation data and station data in real time and mark the data sources; establishing a mapping relationship between the operation data and station data and target line network management nodes, and importing the data into a digital model for construction; performing operation and maintenance analysis in the digital model based on the multidimensional management targets, identifying key management nodes, and obtaining node state vector sets; matching target operation and maintenance strategies based on the analysis results, and performing operation and maintenance management based on the strategies. This achieves the technical effects of online monitoring, complete monitoring, and good early warning capabilities.

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.

The invention belongs to the technical field of civil aviation safety management, and discloses a civil aviation hidden danger information safety monitoring method and system. The method comprises the following steps: acquiring a created security check list library through a PC management end, and acquiring and creating check lists and check list editing and maintaining operation instructions in a corresponding department / department space; the PC management end executes sending of an inspection list and management configuration, generates an inspection task according to a sending period of the management configuration, and pushes the inspection task to an inspection module of the APP inspection end; and obtaining a safety check task editing operation instruction in the check module, carrying out safety check on the existing hidden danger information, and visually showing the safety check condition. According to the invention, airport safety inspection work requirements can be met, a method for checking, processing and supervising inspected hidden dangers is provided, various hidden dangers can be recorded and concluded, and hidden danger problems which occur repeatedly can be sorted and publicized.

A method is disclosed that may include receiving, via a secure regulatory compliance interface, form content and jurisdictional parameters, processing form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules. The method may include extracting compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine and comparing extracted text to a structured compliance database. Also, the method may include generating a compliance checklist using an Automated Workflow & Document Processing System (AWDPS). Further, the method may include verifying form compliance through a machine-learning-driven compliance decision engine and modifying form content using a Compliance Review and Form Generation Module (CRFGM). The method may include securing regulatory submission using a Secure Regulatory Filing Interface (SRFI). Moreover, the method may include tracking submission changes with a blockchain-based audit ledger. Also, the method may include submitting a finalized compliance forms to a regulatory authority via an API integration.

This invention relates to the field of pollutant control and discloses a method for controlling ammonia slip in an SCR denitrification system. The method includes: acquiring the denitrification operating conditions of multiple denitrification chambers through an online ammonia slip monitoring system, and determining the denitrification chambers to be investigated based on the analysis of these conditions. After detecting the ammonia slip concentration in each chamber to be investigated using a mobile monitoring device, target denitrification chambers are selected. For each target denitrification chamber, a corresponding checklist is constructed based on one or more of the following: the opening degree of the spray valve, the nitrogen oxide concentration at the flue gas inlet, the nitrogen oxide concentration at the flue gas outlet, the real-time ammonia slip concentration, and maintenance records. This checklist guides maintenance personnel in conducting targeted inspections and adjustments. After a preset time period, a retest is performed, and an ammonia slip control effect report is generated to evaluate the adjustment effect and optimize the denitrification system. This achieves precise control of ammonia slip.

A system for recording surgical environments and procedures with millisecond accuracy to ensure efficiency with real-time algorithmic analysis and assistive video overlays. A computer-based video enhancement and video archiving management system providing real-time reference materials, context-sensitive checklists, assistive algorithms, and support for pre- and post-operative reporting. An audio processing system in medical environments for recording vocal bookmarks during a surgical procedure to specifically reference exact moments during a procedure.

The system according to the embodiment aims to improve the efficiency of various operations in event management. [Solution] A system according to an embodiment includes a material creation unit, a schedule creation unit, a role assignment unit, and a checklist creation unit. The material creation unit creates materials. The schedule creation unit creates a schedule based on the materials created by the material creation unit. The role assignment unit assigns roles based on the schedule created by the schedule creation unit. The checklist creation unit creates a checklist based on the roles assigned by the role assignment unit.

The application discloses a modular checklist-based efficient device compliance management method and device, equipment and products, and relates to the technical field of business processing. The method is applied to a management and control end. The method receives business task information, analyzes the business task information through a pre-constructed unified data model to obtain an inspection item data structure, sends the business task information and the inspection item data structure to a task execution end, has the task execution end execute the business task information according to the inspection item data structure to obtain task inspection information, receives the task inspection information, performs abnormal rectification on the task inspection information, and obtains business task execution information when the abnormal rectification is completed. Thus, the problem that traditional inspection management lacks unified standardized management and control, resulting in the inability to meet actual management and control requirements, is solved, and the efficiency of task execution is improved.

An imaging system and method includes a display, a processor, and electronic memory storing processor-executable code that operates by receiving an image of a patient with a medical device disposed therein, detecting the medical device within the image, detecting one or more reference landmark(s) within the image, and generating a combined image by superimposing an overlay on the image to indicate a position of the medical device relative to the reference landmarks. The processor-executable code further causes the image processing system to generate a checklist for verification by a user of the position of the medical device for presentation with the combined image on the display to help the user to adhere to clinical guidelines for placement of the device. In addition, the processor-executable code can prefill the checklist using an artificial intelligence model, with checklist responses used to train or validate the AI model, or for quality assurance purposes.

The invention relates to an AI-based power utilization service inspection process intelligent management method and system, and the method comprises the following steps: S1, obtaining power utilization service inspection related data, and automatically generating an inspection plan and a preliminary inspection list; s2, intelligently distributing the inspection plan and the preliminary inspection list to inspection personnel, and obtaining multi-dimensional data of an inspection site; s3, according to the multi-dimensional data of the inspection site, intelligent analysis is carried out, and an abnormal report and AI auxiliary suggestion processing measures are obtained; s4, according to the exception report and AI auxiliary suggestion processing measures, automatically archiving the exception report and the AI auxiliary suggestion processing measures to an early warning, rectification or only filing queue by adopting an automatic risk level evaluation algorithm, and obtaining an operation and maintenance plan; and S5, according to the operation and maintenance plan, pushing the operation and maintenance plan to an operation and maintenance personnel mobile terminal in real time, and performing secondary confirmation, disposal means and maintenance result backfilling by operation and maintenance personnel according to the operation and maintenance plan. The power utilization service inspection quality and the operation and maintenance management capability are effectively improved.

This invention discloses a method for identifying safety hazards in the hazardous chemicals industry based on a multimodal large model, belonging to the interdisciplinary field of hazardous chemicals safety and artificial intelligence. The method automatically constructs a three-layered knowledge base of "equipment—inspection items—standard clauses," supporting hot-swappable updates of standards. It employs a three-stage cascaded reasoning approach: equipment identification introduces visual-semantic dual-channel verification; inspection checklist matching introduces visual inspectability assessment and environmental adaptive adjustment; and hazard assessment introduces a three-stage reasoning approach of "observation—comparison—conclusion." A structured report containing hazard descriptions, standard tracing, and rectification suggestions is generated. This effectively realizes a new paradigm for safety hazard identification: "standard-driven, model-executed."

A method to identify which safety leading indicators are not capturing hazards during safety inspections that later contribute to safety incidents and to identify blind spots in safety inspections. The method includes inputting a plurality of incident reports from the worksite and a plurality of inspection reports from the worksite into a system that uses machine learning (ML) and artificial intelligence (AI); identifying socio-technical factors influencing safety risks at the worksite using unsupervised clustering for topic modeling; evaluating semantic similarity between the plurality of incident report and the plurality of inspection reports conducted in a preceding time period to detect missing socio-technical factors not captured during safety inspections; and providing the identified socio-technical factors previously not captured during safety inspections to a stakeholder for development of modified inspection checklists tailored to capture the identified socio-technical factors previously not captured during safety inspection.

Systems and methods are described for detecting and identifying discrepancies of states of objects and / or areas of interest in a space. In some aspects, an autonomous device may collect ground truth data of a space including information identifying objects each associated with a location in the space, and a condition associated with at least some of the objects. A checklist including a set of desired states for at some of objects may be obtained and compared to the ground truth data to produce a set of comparisons, where individual comparisons identify discrepancies between the ground truth data of an object and the desired state of the object. The discrepancies may be compared to a criteria for correction, and upon at least one satisfying the criteria, a notification indicating the at least one discrepancy may generated and / or performance of a corrective action triggered.

This invention relates to a method, apparatus, electronic device, and medium for screening cybersecurity compliance policy documents, comprising: acquiring all inspection items in a checklist; determining whether each inspection item has been historically inspected; if an inspection item has been historically inspected, using the referenced documents from the historical inspection as the referenced documents for that inspection item; if an inspection item has not been historically inspected, acquiring the target laws and regulations involved in the inspection item; acquiring a first document set containing all the target laws and regulations in a document database; acquiring the target documents in the first document set; calculating the similarity between each target document and the inspection item; and using the similarity between each target document and the inspection item to obtain the referenced documents for each inspection item; completing the acquisition of referenced documents for all inspection items in the checklist; improving the efficiency of obtaining supporting documents and solving the deficiency in current cybersecurity compliance inspections where corresponding supporting documents cannot be accurately matched.

The invention relates to a construction operation management and control knowledge pushing method and system based on a power station construction unit, and belongs to the technical field of power station construction management, and the method comprises the steps: receiving project information, and recognizing a task name and project basic information in the project information; performing semantic analysis on the task name, and generating an intelligent extension code of the current WBS entry according to an analysis result; associating an experience set, a standard specification term set, a risk point set and a construction period and cost data set for the current WBS entry; generating a project scene factor set according to the project basic information; according to the project scene factor set and the data set associated with the current WBS entry, generating a project forced check list and a risk special item check list, and generating a project main execution list after fusion; and associating a person in charge for the project main execution list according to the project organization structure, the block to which the intelligent extension code belongs and the skill keyword required by the current WBS entry. The method has the beneficial effects that the decision response speed is increased, and the project construction quality is improved.

To support generation of a checklist, the checklist enabling appropriate checks capable of securing design quality of a system.SOLUTION: A design document checklist generation support system includes: a case characteristic list determination unit 11 that determines characteristics of past cases from design documents of the past cases and checklists of the design documents; a checklist item validity / invalidity determination unit 12 that determines validity / invalidity of each item of the past checklist for each of the design documents classified according to the case characteristics; a determination model generation unit 13 that acquires the determined case characteristics and determination results of the checklist item validity / invalid determination unit 12 and generates a determination model for each of the case characteristics; a filter determination unit 22 that determines validity / invalidity of each check item of a checklist of a design document of a new case on the basis of the generated determination model and case characteristics of the design document of the new case; and an output unit 23 that outputs the determined checklist.SELECTED DRAWING: Figure 1

The present application belongs to the technical field of cross of spectrum analysis and artificial intelligence, specifically to a Raman spectrum quantitative modeling closed-loop optimization method and system based on a large language model, wherein the method comprises: constructing a historical task memory bank containing a spectrum state vector; extracting spectrum quality, baseline, spectral peak, sample distribution and other features of a new task to construct a state vector; respectively retrieving successful and failed memories based on a weighted comprehensive distance; generating a candidate modeling process using a large language model; performing verification and discriminating failure modes based on rules; generating improved actions constrained by spectroscopy and chemometrics rules; iteratively optimizing until passing the deployment checklist; and finally packaging as a spectrum workstation deployment package. The present application converts expert experience into reusable structured knowledge, realizes automatic closed loop from data to deployment, reduces the modeling threshold, and improves the model reliability and interpretability.

A method is disclosed that may include receiving, via a secure regulatory compliance interface, form content and jurisdictional parameters, processing form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules. The method may include extracting compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine and comparing extracted text to a structured compliance database. Also, the method may include generating a compliance checklist using an Automated Workflow & Document Processing System (AWDPS). Further, the method may include verifying form compliance through a machine-learning-driven compliance decision engine and modifying form content using a Compliance Review and Form Generation Module (CRFGM). The method may include securing regulatory submission using a Secure Regulatory Filing Interface (SRFI). Moreover, the method may include tracking submission changes with a blockchain-based audit ledger. Also, the method may include submitting a finalized compliance forms to a regulatory authority via an API integration.

We provide the system. [Solution] A means of collecting corporate information and training a generative artificial intelligence model, A means of collecting and analyzing data on a designated market and conducting demand and competition analysis, In order to provide legal information for the target country, a means of referencing legal databases and generating checklists, Means of supporting translation and negotiation between different languages, A means of managing product distribution in conjunction with international e-commerce platforms and logistics systems, A system that includes this.

The invention discloses a cursor skipping method and system for an electronic checklist of an aircraft, electronic equipment and a storage medium. The method comprises the following steps: updating a check state of at least one closed loop item in all check items in an electronic check list at least partially based on a received closed loop signal; monitoring a target check item in the electronic checklist in response to the update, wherein the target check item indicates that the check state of the at least one closed-loop item automatically cancels check due to the update and is a first check item located on a front page in the electronic checklist; and in response to monitoring the target check item, executing cursor skipping. According to the method, the system, the electronic equipment and the storage medium, information omission can be prevented, the flight safety is improved, the operation efficiency of aircraft crew personnel is improved, and the man-machine interaction process is optimized. Numerous other aspects are also disclosed.

The invention discloses a medical technology appointment resource optimal allocation method based on intelligent time division, relates to the technical field of medical technology resource optimization, and solves the problem that the medical technology appointment time of a patient cannot be effectively and optimally allocated, and the method comprises the following steps: dividing a medical technology check list according to different queuing durations; according to the different queuing durations and the average historical examination duration, completing durations required by the current patient to complete different examination lists are calculated; analyzing the duration spent when the current patient is examined according to the first execution sequence, and analyzing to obtain the kth actual completion duration spent when the current patient completes all the detection lists according to the first execution sequence; analyzing the time duration spent when the current patient is examined according to different execution sequences; according to different actual completion durations, the execution sequence of the checklists is analyzed, the appointment time of different checklists is obtained through analysis, and the medical technology appointment time of the patient is effectively and optimally distributed.

The disclosure is directed at a method and system for generating dynamic building inspection checklists. The system and method compares tasks for a construction project with building code requirements and then generates a building inspection checklist based on the comparison. The system and method may then determine which tasks within the inspection checklist may result in a more negative impact if the task does not pass inspection and updates the checklist accordingly.

The invention discloses a seismic data interpretation automatic quality control method based on workflow engine three-layer modeling, and the method comprises the following steps: S1, building a seismic data interpretation project overall life cycle workflow model which comprises four stages: starting, planning, executing and ending; the execution stage comprises quality control stage formulation and quality check table generation; s2, setting quality control points of the whole process of the seismic data interpretation project; s3, customizing quality control points, and obtaining a quality control point time sequence combination through data modeling; s4, executing a time algorithm on the quality control point time sequence and the quality control process to generate a Gantt chart; s5, executing a distribution algorithm and parameters according to the quality control point time sequence combination to obtain a quality control distribution scheme; s6, quality control point auditing is completed; and S7, in the process of completing the quality control task, automatically generating a corresponding quality check table. According to the invention, seismic data interpretation projects can be completed efficiently, orderly, accurately and automatically; the method is suitable for the seismic exploration industry and is used for automatically completing seismic data interpretation projects.

A system comprises a set of databases in communication with a processor, and a requirements validation AI engine hosted by the processor. The databases comprise software requirements, regulatory guidelines, historical requirements defects, requirements review checklist, and prompts. The AI engine communicates with the databases, and a fine-tuned LLM communicates with the AI engine. A user interface communicates with the AI engine, and a configuration management repository communicates with the user interface. The user interface sends new requirements, from the configuration management repository, with corresponding check instructions to the AI engine, which selects prompts for review, based on types of new requirements and the check instructions. The AI engine sends the prompts and the new requirements to the LLM to review for any defects in the new requirements. The LLM sends a response to the user interface, to report on validity of and any defects in the new requirements.

The invention relates to a method and a device for managing and controlling an electronic checklist database. According to the technical scheme, when it is determined that updating of the electronic checklist has lag relative to the flight manual, the applicability of the electronic checklist database and the applicability of all the checklists are adjusted, so that individual electronic checklists are disabled or enabled, and the electronic checklists are displayed in the corresponding display areas.

The invention discloses a nuclear security level DCS cabinet check table generation system and method based on a loop table, and the system comprises a drawing reading module which is used for reading different types of electrical design drawings; the template and definition module is used for forming various loop table templates and managing the loop table templates and macro and device attribute information bases; the data analysis module is used for analyzing the electrical design drawing, forming an equipment connection relation chain table and storing the equipment connection relation chain table into a preliminary database; the loop processing module is used for carrying out loop table selection according to the equipment connection relation linked list; performing loop table modeling according to the selected loop table to form a loop database; the check table generation module is used for reading the electrical information in the loop database and automatically generating a check table; reading an index table in the loop database, and finding out a corresponding loop table according to the table name of the loop table; and in combination with a case template, a test case table is formed through conversion. The automation degree of the design process can be effectively improved.

The invention relates to a continuous tracking evaluation method and system for a construction project of a power grid construction project, and the method comprises the steps: formulating a detailed inspection evaluation time schedule in the method, carrying out the quantitative evaluation through employing an inspection table and a score table, reviewing all management systems, records and reports of a construction unit, and carrying out the classification and arrangement of problems found in the inspection evaluation. The method comprises the following steps: establishing a problem feedback mechanism, quantitatively scoring various inspection contents according to an inspection scoring standard, carrying out comprehensive evaluation in combination with actual conditions, analyzing problems found in an inspection process, continuously perfecting an inspection evaluation system and the scoring standard according to the actual conditions and feedback suggestions, and introducing a new technology and a new method. The inspection and evaluation work can be orderly carried out according to a plan; a system is established according to the implementation process of the method, module classification is carried out, the feasibility of the method is verified in the modules, and optimization suggestions are summarized, so that the problem that a traditional inspection and evaluation mode is tedious, complex and single is solved.