Patents
Literature
3 results about "Computerized maintenance management system" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Computerized maintenance management system (CMMS), also known as computerized maintenance management information system (CMMIS), is a software package that maintains a computer database of information about an organization's maintenance operations. This information is intended to help maintenance workers do their jobs more effectively (for example, determining which machines require maintenance and which storerooms contain the spare parts they need) and to help management make informed decisions (for example, calculating the cost of machine breakdown repair versus preventive maintenance for each machine, possibly leading to better allocation of resources). CMMS data may also be used to verify regulatory compliance. To properly control the maintenance of a facility, information is required to analyze what is occurring. Manually this requires a tremendous amount of effort and time. A CMMS also allows for record keeping, to track completed and assigned tasks in a timely and cost-effective manner. In recognition of this, companies have started using CMMS extensively to better control and organize maintenance management. The different steps of implementing a CMMS plan have been described in the diagram.
Methods and systems for data acquisition, learning, and streaming of machine signals for analysis and maintenance using the Internet of Things in industrial applications.
PendingJP2026062670AVibration measurement in solidsError prevention/detection by using return channelData streamData acquisition
To collect, discover, capture, disseminate, manage, and process information related to industrial machinery. [Solution] The industrial machine predictive maintenance system includes: an industrial machine data analysis facility that applies machine learning to data representing a portion of the state of industrial machines received via a data collection network to generate a stream of industrial machine health monitoring data; an industrial machine predictive maintenance facility that applies machine failure detection and classification algorithms to generate industrial machine service recommendations in response to health monitoring data; a computerized maintenance management system that generates service and parts orders and / or requests in response to industrial machine service recommendations; and a service and delivery coordination facility that processes information on services performed on industrial machines in response to orders and / or service and parts requests, and verifies the services performed while generating a ledger of service activities and results for individual industrial machines.
Owner:STRONG FORCE IOT PORTFOLIO 2016 LLC
A new energy power station automatic inspection and AI fault diagnosis method and system
The application discloses a new energy power station automatic inspection and AI fault diagnosis method and system, and the method steps are as follows: an automatic inspection platform carrying a multi-modal sensing unit is controlled to inspect along a preset path, and various data of power station equipment are synchronously collected; a high-fidelity digital twin body fusing a three-dimensional geometric model, an electrical physical model and historical operation data is constructed, collected data are injected to realize synchronous mapping and state updating with a physical power station; an AI model after training is used to diagnose and classify faults through multi-dimensional feature cross-modal fusion analysis, time-space correlation cross verification of equipment; a time series prediction model analyzes the performance degradation trend of components, calculates a health index and predicts a remaining useful life; a fault position is highlighted in the digital twin body, a fault knowledge graph is generated, VR immersive viewing and tracing are supported; an electronic work order containing fault details is automatically generated and pushed to a computerized maintenance management system. The application realizes an intelligent operation and maintenance closed loop, and improves the reliability and efficiency of the power station.
Owner:HUADIAN NEW ENERGY XINJIANG MULEI NEW ENERGY CO LTD
Digital twin driven pressure vessel maintenance strategy dynamic optimization method and system
ActiveCN121480881BForecastingChemical processes analysis/designDimensional simulationIndustrial equipment
The application discloses a digital twin driven pressure vessel maintenance strategy dynamic optimization method and system, and relates to the technical field of industrial equipment health management and intelligent operation and maintenance. The method comprises the following steps: constructing a digital twin model integrated with a physical failure mechanism; dynamically calibrating model state variables and parameters by using real-time operation data and a data assimilation algorithm; integrating data from manufacturing execution, enterprise resource planning and computerized maintenance management systems to form a dynamic constraint set; performing multi-dimensional simulation deduction based on the calibrated model and the dynamic constraint set, generating a candidate maintenance action set and calculating an expected comprehensive cost to select the optimal strategy; collecting actual equipment state and resource consumption data after the strategy is executed, and bidirectionally adapting and correcting the digital twin model and maintenance cost parameters to realize closed-loop optimization. The technical problem that the existing maintenance strategy is difficult to dynamically decide in real time in cooperation with the equipment health state, residual life prediction and external multi-dimensional resource constraints is solved.
Owner:DALIAN DONGFANG YIPENG EQUIP MFG CO LTD