24 results about "Maintenance mode" patented technology

The invention relates to an AI Agent-based operation maintenance scheduling method and system. The method comprises the steps of collecting multi-modal operation state data of a plurality of industrial devices in real time through a multi-modal sensing network; key feature extraction is carried out on the multi-mode operation state data; performing fault risk assessment by using an equipment health assessment model in combination with the key features and historical working condition data; generating an optimal operation and maintenance scheme of the potential fault industrial equipment according to the evaluation result and the real-time operation state data; finally, an equipment operation and maintenance task priority list and an automatic operation and maintenance scheduling scheme are generated on the basis, the scientificity and systematicness of industrial equipment operation and maintenance scheduling can be improved, the problems that data of a traditional operation and maintenance mode is not comprehensive, and an operation and maintenance scheme is lack of planning and intelligentization are effectively solved, and the operation and maintenance efficiency and quality of industrial equipment are improved.

The invention relates to an intelligent highway electromechanical equipment fault early warning and maintenance system, belongs to the technical field of highway electromechanical equipment management, and mainly solves the problems of response lag, low operation and maintenance efficiency and lack of predictive maintenance capability of a traditional maintenance mode. According to the system, an electromechanical equipment full-life-cycle standing book is established through an equipment management module, operation data is collected in real time, equipment state data and historical maintenance data are analyzed through a statistical analysis module, predictive early warning and health degree evaluation results are generated, and a maintenance management module generates and dispatches a maintenance work order according to early warning information. The handheld terminal APP is used for field execution and feedback, the GIS service module realizes visual display of the geographic position and state of the equipment, and the inspection management module is responsible for issuing and receiving an inspection task. According to the system, intelligent early warning, efficient maintenance and whole-process closed-loop management of the electromechanical equipment can be realized, and the reliability and the operation and maintenance efficiency of the equipment are remarkably improved.

The application belongs to the field of equipment maintenance data processing, and specifically discloses a method and system for determining spare part demand of a conditionally dependent maintenance unit. The application adopts a one-way conditionally dependent maintenance mode for two units of the same equipment, and integrates two characteristic values of the second unit according to the life distribution of the two units and the maximum number of faults of the first unit within the dependent threshold time. The spare part support probability of the second unit under different spare part quantities is integrated and calculated according to the two characteristic values of the second unit, the life distribution and the equipment support period. The required spare part quantity is determined by matching the spare part support probability target value of the second unit and the spare part support probability of the second unit under different spare part quantities. The application accurately quantifies the influence of the life of the fault unit and the dependent threshold time on the life of the dependent unit in the form of characteristic values, and further accurately predicts the spare part demand of the conditionally dependent maintenance unit.

The present application belongs to the technical field of power system automation, and relates to a new energy station equipment maintenance scheduling method considering power grid power response uncertainty, comprising the following steps: setting a maximum allowable response failure rate threshold; mapping the equipment to be maintained to a discrete time slice within a preset scheduling period to construct a hypothetical maintenance state vector; outputting a set of station remaining available power sequences; quantifying the conditional power response failure rate; screening out low-risk feasible maintenance windows; calculating the comprehensive economic loss index of the low-risk feasible maintenance windows; selecting the window combination with the lowest comprehensive economic loss index to generate a target maintenance scheduling sequence, and issuing equipment control instructions to control the corresponding equipment to switch to the maintenance mode. The present application solves the problem that the traditional maintenance scheduling method fails to quantitatively evaluate the power grid response default risk under uncertain factors, resulting in room for improvement in the reliability of the scheduling scheme.

The present invention relates to the technical field of operation and maintenance management, and specifically relates to an integrated operation and maintenance management system and method based on AIOps; the method includes: collecting multi-source IT operation and maintenance data and completing standardized preprocessing to form operation and maintenance data input in a unified format; classifying and storing the preprocessed data using a hybrid storage architecture, and implementing data synchronization through a cross-database synchronization tool to break data silos; performing intelligent analysis on the data based on the TensorFlow framework to generate fault diagnosis results and performance trend prediction data; generating operation and maintenance decisions according to the analysis results, and performing automatic repair, work order allocation or resource scheduling operations; outputting operation and maintenance management results, presenting data and decision execution situations through a visualization interface, and providing report generation and management configuration functions; through a full-process automated data processing and intelligent operation and maintenance decision-making mechanism with multi-module collaboration, the technical problems of slow fault response, weak data integration, low accuracy of risk prediction and low operation and maintenance efficiency in the traditional operation and maintenance mode are solved.

The invention relates to the technical field of repair management, and particularly discloses an intelligent property repair management system, and the system comprises an Internet of Things sensing module which is responsible for collecting operation data, such as equipment control instructions and output physical quantities; the data analysis module decouples an equipment work cycle into three logic stages, uses historical data to train a prediction model of each stage, and calculates a deviation degree set by comparing a current actual value with a model expected value; the early warning module monitors the deviation degree in real time, judges whether the equipment has an abnormal risk or not according to the obtained degradation amount, and outputs an early warning signal according to the abnormal risk, so that the operation and maintenance mode conversion from passive response to active early warning is realized; according to the method, the maintenance efficiency is greatly improved by positioning the fault stage and type, and the continuity of property service and the user experience are effectively guaranteed while the overall operation and maintenance cost is finally reduced.

The invention provides an automatic deployment upgrading method and system based on a cloud platform. After an upgrading command is received, a to-be-upgraded host set is determined and sorted according to available areas, an upgrading task record is generated for each host in a host operation log table, the task state is initialized to be ready, and the pushing frequency is 0. When the number of the tasks in progress does not reach the concurrence upper limit, the tasks of the available hosts are pushed to the flow processing module, and if acceptance succeeds, the tasks are set to be in progress, and the pushing frequency is updated. And periodically screening the ready tasks by the timed task, and performing compensation pushing according to an ascending order of pushing times. The process processing module carries out host state pre-verification on the task, if a host is available, a maintenance mode is entered, upgrade package downloading, service updating and script upgrading are executed, and write-back is successful or failed after finishing; failure may automatically retry and support visual retry or cancel.

The application provides an ACS server, a set-top box and a method for remotely connecting the set-top box. The method comprises the following steps: in response to a connection request for remotely connecting the set-top box, sending remote desktop parameters of a relay server to the set-top box, so that the set-top box starts a remote desktop client program and records the remote desktop parameters after receiving the remote desktop parameters; in response to detecting an authorization instruction for remotely connecting the set-top box, receiving an authorization connection code and an authorization password sent by the set-top box; remotely connecting the set-top box according to the authorization connection code and the authorization password, or sending the authorization connection code and the authorization password to a terminal device. The method can remotely connect a remote set-top box in the case of one-key authorization of a user, watch real-time pictures transmitted by the set-top box, troubleshoot problems of the set-top box, improve the accuracy of problem positioning, and solve the problems of low operation and maintenance efficiency and poor accuracy in the maintenance mode of the set-top box.

A database system includes a lead computing device of a computing device cluster of a plurality of computing device clusters operably coupled to determine that the computing device cluster is due for maintenance. The lead computing device further operable to determine a maintenance schedule of the computing device cluster based on a threshold number of computing nodes of the computing device cluster being available during maintenance, identify a computing device of the computing device cluster to take offline for the maintenance. For an upcoming offline maintenance period, reallocate tasks to be executed by computing nodes of the computing device to computing nodes of one or more other computing devices of the computing device cluster, transition the computing device to an offline maintenance mode after completion of current tasks in accordance with the maintenance schedule, and after completion of the offline maintenance period, transition the computing device to an available mode.

The application relates to the technical field of computers, and particularly provides a mounting method based on an immutable operating system data isolation architecture, which comprises the following steps: S1, deploying a basic system layer, an installed data layer, a data snapshot layer, a temporary maintenance layer and a directory display layer in a system installation stage, and creating directories for the layers of the system; S2, reading a configuration file state bit of a maintenance mode through a script in an initramfs stage of system startup, and determining a corresponding data layer according to the configuration file state bit; S3, when a user triggers mode switching, a background process responds to the switching request, updates the configuration file state bit of the maintenance mode, completes data migration, and prompts the user to restart the system to complete the switching, and after restarting, returning to step S2. Through the above scheme, the technical problems of insufficient configuration protection and complex management of data modification of an existing operating system are solved.

The invention relates to a bridge chip firmware management circuit capable of being upgraded online and a control method, the management circuit comprises a maintenance control module and a switching control module, and a firmware data end of an external firmware storage module is connected with a first data end of the switching control module; a second data end of the switching control module is connected with a firmware reading interface of the bridging chip, a third data end of the switching control module is connected with a firmware reading and writing interface of the maintenance control module, and a control signal input end of the switching control module is connected with a control signal output end of the maintenance control module; when the mode needs to be switched to the upgrade recovery mode, the first communication path is switched to the second communication path through the switching control module, the maintenance control module executes firmware updating operation on the external firmware storage module, online updating and reliable recovery of firmware are achieved, the maintenance mode that a firmware storage is disassembled for offline burning is avoided, and the maintenance efficiency is improved. And the flexibility and reliability of firmware maintenance and the maintainability of the whole system are remarkably improved.

A method for controlling a maintenance mode of an elevator system includes: recognizing a machine-detectable feature in an automated manner using a portable computer-controlled device of a technician and, subsequently, outputting a maintenance completion signal, the machine-detectable feature being within the elevator system such that it can only be detected by the computer-controlled device located outside an elevator shaft of the elevator system and wherein the machine-detectable feature is uniquely assigned to the elevator system; receiving the maintenance completion signal by an elevator controller controlling the maintenance mode and, subsequently, completing the maintenance mode. The method and an elevator control arrangement configured to carry out the method enables a maintenance mode to be completed by the technician in the elevator system in a simple, intuitive, and safe manner without the need for significant additional hardware.

Embodiments of the present application relate to the technical field of processor, and particularly relate to a cache consistency active maintenance method and device, electronic equipment and storage medium, comprising: in response to maintenance of cache consistency, invalidating a copy of a first cache block of a target processor core, and checking a consistency maintenance mode of the copy of the first cache block; in the case that the consistency maintenance mode is an active maintenance mode, after completing the invalidating, initiating an update command to update the copy of the first cache block to the latest data content; and after the update of the copy of the first cache block is completed, restoring the copy of the first cache block to an effective state. The application realizes convenient and selective use of the active maintenance method, and fully utilizes the existing hardware mechanism of passive maintenance of cache consistency on the CPU to reduce the hardware overhead of the active maintenance method.

The invention provides a substation master-slave distributed wide-area operation and maintenance management and control method and system, computer equipment and a storage medium, and relates to the technical field of substation operation and maintenance. Aiming at the improvement and optimization requirements of cross-domain management and control capability and operation and maintenance link credibility in a traditional substation operation and maintenance mode, a full-link technical system covering authority management and control, protocol interaction, collaborative operation and maintenance and security audit is constructed by relying on a cloud-edge collaborative architecture; through core mechanisms such as multi-dimensional credibility verification, standardized protocol handshake, dynamic cooperative scheduling and whole-process closed-loop management and control, global management, safety, credibility and efficient collaboration of operation and maintenance of the transformer substation are realized. The method and the system can adapt to different bandwidth conditions and operation and maintenance scale expansion requirements, the intelligent and safe level of wide-area operation and maintenance of the transformer substation is remarkably improved, and a key technical support is provided for digital transformation of operation and maintenance of an intelligent power grid.

The application discloses an operation and maintenance method and device of equipment, a nonvolatile storage medium and an electronic device. The method comprises the following steps: determining a target graph of a target system; determining an association degree index between a node and a neighbor node of the node according to a node feature of the node in the target graph, and determining an abnormal area in the target graph according to the association degree index; determining a target abnormal node according to a node feature of a node in the abnormal area, the target abnormal node being a node causing an abnormal state of the abnormal area; determining multi-modal operation data of an abnormal equipment corresponding to the target abnormal node within a second preset time period, and determining a fault cause of the abnormal equipment according to an association relationship between different modal operation data in the multi-modal operation data; and determining an operation and maintenance mode according to the fault cause. The application solves the technical problem of low operation and maintenance efficiency caused by the fact that different modal operation data of each equipment in a system are not comprehensively considered in the related art.

The application discloses an evaluation method and device for relay protection equipment maintenance, and relates to the technical field of electric power engineering. The method comprises the following steps: obtaining first data of a target relay protection equipment before maintenance, wherein the first data is used for representing device information, operation information and environment information of the target relay protection equipment before maintenance; determining a maintenance mode of the target relay protection equipment; obtaining second data of the target relay protection equipment during maintenance and third data of the target relay protection equipment after maintenance; determining a target vector according to the maintenance mode, the first data, the second data and the third data; and inputting the target vector into a target neural network to obtain an evaluation result of the maintenance of the target relay protection equipment. The application solves the technical problem that the maintenance quality of the relay protection is poor due to the fact that the state maintenance of the relay protection equipment is not strict and the data collection is not comprehensive in the prior art.

In some examples, a system monitors integrity metrics associated with a plurality of edge connections that link a collection of switches to electronic devices. Based on a pattern in the integrity metrics, the system predicts a non-intact state for the first edge connection among the plurality of edge connections. Based on this prediction, a workload manager triggers a maintenance mode for an electronic device connected to the first edge connection to address the predicted non-intact state, preventing further workloads from being scheduled on the electronic device while it is in maintenance mode.

The invention provides a storage device, a data processing method thereof and a non-transitory computer readable storage medium. The method comprises the following steps: judging whether the storage device is operated in a burst mode or a maintenance mode at present; in the burst mode, in response to execution completion of an instruction, a host is informed that the instruction has been completed. In the maintenance mode, the host is informed that the instruction has been completed in response to completion of execution of the instruction and after a delay time.

An information handling system may include at least one processor and a memory. The information handling system may be configured to perform a maintenance operation involving a plurality of hosts of an information handling system cluster by: determining a score for each host based on a sum of working memory sizes for all active virtual machines executing on such host plus a sum of persistent storage sizes for all virtual machines stored on such host; based on the determined scores, selecting a first host for upgrading; migrating at least a portion of all virtual machines stored on the first host from the first host to one or more other hosts; and causing the first host to perform the maintenance operation.

The application belongs to the cross field of artificial intelligence and intelligent operation and maintenance of industrial equipment, and particularly relates to a predictive health management method for key components of unloading machines, aiming to solve the problems of lag in early fault identification, poor working condition adaptability and insufficient life prediction accuracy in traditional operation and maintenance mode. The method collects vibration, load, current and temperature data through multi-source sensors and synchronizes them at millisecond level, extracts dynamic features by combining working condition adaptive wavelet packet decomposition and autoencoder noise reduction, and inputs the features into an LSTM network with attention mechanism to build a health index monotonically decreasing from 0 to 1. The application significantly improves the early damage detection rate and evaluation robustness, with a prediction error less than ±15%, a reduction of more than 40% in unplanned downtime, and support for edge real-time calculation and port-level cloud platform collaboration, promoting the transformation of the operation and maintenance system to prediction and collaboration, reducing the annual maintenance cost by 25%, and improving the comprehensive efficiency of equipment by 8 percentage points.

This invention discloses a cloud-based remote maintenance method and system for IoT devices, relating to the field of cloud computing IoT technology. The method includes: setting up a dual-track collaborative maintenance system; upon receiving a remote dimension request, reading the fault operation dataset and device connection attribute information of the IoT device to be maintained, inputting them into an adaptive decision engine for pattern decision-making, and obtaining the pattern decision result; wherein, the adaptive decision engine includes a security rule filter and an adaptive decision classification network. The security rule filter performs preliminary pattern decision-making; if the pattern decision result returns empty, the adaptive decision classification network performs pattern decision-making, and remote maintenance is performed on the IoT device to be maintained according to the returned maintenance pattern. This invention solves the technical problems of existing technologies where remote maintenance modes are singular and cannot intelligently select appropriate maintenance strategies based on device status, resulting in low maintenance efficiency and insufficient reliability, thus achieving the technical effect of improving the accuracy and reliability of remote maintenance.

This invention relates to an automatic software update method based on an in-vehicle embedded operating system, belonging to the field of computer software technology. It solves the problem that existing methods cannot simultaneously achieve reliable system startup and flexible, secure automatic software updates. The method includes: partitioning the physical disk into a system root partition, a user data partition, and an OverlayFS working partition; automatically entering safe mode by detecting kernel boot parameters, mounting the system root partition as read-only, and mounting specified directories as read-write overlays based on the OverlayFS file system and whitelist configuration files; dynamically switching the safe mode on and off via system services and command lines; upon detecting an external update device, entering maintenance mode, performing security verification on the update package from the external update device, and then performing an atomic update operation on the user data partition. This achieves both reliable operating system startup and flexible automatic software updates.

[Problem] To simplify procedures related to work for performing various settings in an article acquisition game device. [Solution] An article acquisition game device 1 comprises: control means 60 that controls a game mode in which a player can acquire an article and a maintenance mode in which settings related to the game mode can be adjusted; and detection means 70 that detects a state of a door 21 that opens and closes an article storage part 20. The control means 60 performs control to shift from the maintenance mode to the game mode when the detection means 70 detects a closed state of the door 21 during control of the maintenance mode.

The invention relates to the field of intelligent control, in particular to a system robustness monitoring system and an operation and maintenance method, and aims to comprehensively monitor the running state of a system by arranging a real-time in-service monitoring module to collect multi-dimensional data. A robustness evaluation and operation module is arranged to carry out normalization processing and robustness operation on multi-dimensional data, and comprehensive robustness information is generated, so that the state of the system is quantified. And by setting a visual module, operation and maintenance personnel can check the health trend of the system and specific data of a certain dimension in real time, so that targeted intervention is performed before the function is completely invalid. Through multi-dimensional perception, data fusion evaluation and visual early warning, an operation and maintenance mode is converted into active prevention from passive remedy, so that operation and maintenance personnel intervene in processing before a problem does not cause function failure, and the problem that latent faults of a traditional control system cannot be detected and early warned is fundamentally solved.