Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

7 results about "Checklist" patented technology

A checklist is a type of job aid used to reduce failure by compensating for potential limits of human memory and attention. It helps to ensure consistency and completeness in carrying out a task. A basic example is the "to do list". A more advanced checklist would be a schedule, which lays out tasks to be done according to time of day or other factors. A primary task in checklist is documentation of the task and auditing against the documentation.

Modular checklist-based efficient management and control method, device, equipment and product for equipment compliance

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.
Owner:GUANGDONG NEW POWER TECH CO LTD

Method for identifying safety hazards in hazardous chemical industry based on multi-modal large model

PendingCN122288419AChemical industryChemical safety
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."
Owner:BOYA TRIZ (TIANJIN) TECH CO LTD

Method and system for generating dynamic building inspection checklists

PCT designated stageWO2026148412A1Building codeBuilding inspection
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.

Systems and methods for value extraction and guided review

A method of automatic extraction of values includes scanning a document and linking a first word of a plurality of words in the document, to each word of the plurality of words in the document positionally adjacent to the right, left, top, bottom of the first word. The method further includes repeating said scanning and linking for every word of the plurality of words in the document. The method further includes determining the x and y coordinate in the document for each of the plurality of words. The method further includes providing a plurality of checklist words corresponding to information of interest. The method further includes searching the plurality of words in the document for each of the plurality of checklist words. The method further includes for each checklist word found in the plurality of words of the documents determining if a linked positionally adjacent words to the right, left, top, bottom is a value that matches typical values for the plurality of checklist words and if so, extract said value. The method further includes directing a user interface to position in the document related to content of interest related to at least one of the plurality of checklist words.
Owner:PATRA CORP

A system for creating message content in a messaging service in the form of a checklist

The present invention relates to a system (1) which enables the user using a messaging service to send shopping or task lists to the other party in the form of a checklist message, the user sending the checklist to transmit the list of items created by him / her as a checklist, and the recipient of the message content in the form of a checklist to indicate completed tasks or purchased products by marking the items in the relevant checklist one by one.
Owner:TURKCELL TEKNOLOJI ARASTIRMA & GELISTIRME AS

Intelligent assistance method and system for port state control (PSC) inspection of liquefied natural gas (LNG) carrier

PendingCN122288191ARisk levelEngineering
This invention relates to the interdisciplinary field of maritime safety supervision in transportation and artificial intelligence, and discloses an intelligent auxiliary method and system for Port State Control (PSC) inspections of liquefied natural gas (LNG) vessels. The method includes structured processing and relational mapping of multi-source basic data, semantic storage of maritime regulatory texts in parent-child segmentation, and generation of a specialized knowledge base data with a five-dimensional relational mapping network. Responding to the identification information of the vessel to be inspected, the method calls upon the specialized knowledge base data and performs calculations using a risk analysis model combining a rule engine and machine learning classification to generate personalized inspection checklist data labeled with risk level, high-risk inspection areas, and inspection priorities. Through the synergy of the method and system, the method addresses pain points such as inefficient regulatory retrieval for LNG vessel PSC inspections, reliance on experience for defect determination, and cumbersome report generation, significantly improving inspection efficiency and accuracy, standardizing the inspection process, and enabling personalized training for professionals and continuous system optimization.
Owner:WUHAN XINHAI YUANHANG TECH R & D CO LTD +2