51 results about "Maintenance mode" patented technology

The invention discloses an augmented reality and digital twin hybrid drive equipment maintenance method and system, and relates to the technical field of equipment maintenance, and the method comprises the steps: obtaining the feature data of target equipment; inputting the feature data into a preset equipment digital twinborn model, and generating a digital mirror image of the target equipment, namely a target equipment twinborn body; a hybrid drive maintenance mode is established through augmented reality hardware equipment and target equipment twin; making a maintenance strategy of the target equipment based on the hybrid drive maintenance mode; and the target equipment is maintained through the maintenance strategy that the augmented reality hardware equipment projects the target equipment step by step. The maintenance efficiency and quality can be improved, and the maintenance cost is reduced.

The embodiment of the invention relates to the technical field of processors, in particular to an active maintenance method and device for cache consistency, electronic equipment and a storage medium, and the method comprises the following steps: in response to the maintenance of the cache consistency, implementing invalidation operation on a copy of a first cache block of a target processor core, checking the consistency maintenance mode of the copy of the first cache block; under the condition that the consistency maintenance mode is an active maintenance mode, after invalidation operation is completed, an updating command is initiated to update the copy of the first cache block to the latest data content; after updating of the copy of the first cache block is completed, the copy of the first cache block is recovered to be in an effective state. According to the method, convenient and selective use of the active maintenance method is realized, and the hardware overhead of the active maintenance method is reduced by fully utilizing an existing hardware mechanism for consistent passive maintenance of the cache on the CPU.

The invention discloses a unit refined intelligent operation and maintenance management system based on digital twinning and RCM, and relates to the technical field of unit operation and maintenance management, the system comprises a data sensing layer, a digital twinning layer, an RCM analysis layer and a maintenance strategy generation layer; the data sensing layer is used for acquiring data of a unit by deploying a sensor and docking an internet of things; the digital twinborn layer establishes a digital twinborn model for the unit based on artificial intelligence and a digital twinborn technology; the RCM analysis layer analyzes the risk level of the fault and the maintenance priority of the faulted part based on the part state data of the digital twin model; the maintenance strategy generation layer is used for generating differentiated maintenance strategies according to components generating faults of different risk levels and performing fine adjustment on the maintenance strategies according to the actual operation state of a unit; the problem of maintenance hysteresis of a traditional maintenance mode is solved; the fault occurrence probability is corrected close to the actual situation, and the accuracy of risk level assessment is improved.

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 invention discloses a management method and system for preventive maintenance of community infrastructure equipment, belongs to the field of intelligent community internet-of-things equipment, and aims to solve the technical problem of how to help grassroots workers reasonably plan the maintenance time point and the maintenance mode of a charging pile under the constraint of cost. The inspection time and the inspection mode of the equipment are inspected and recorded at any time, and stable and effective operation of the equipment is guaranteed. Maintenance reminding: setting a maintenance reminding advance period, a reminding frequency, a reminding mode and a reminding range; predicting the residual life: predicting the residual life of the equipment through a Monte Carlo simulation mode and historical data, collecting specific information of the degradation degree of the equipment during each maintenance, dynamically updating the residual life of the equipment, and automatically determining the updating time of the equipment according to the length of the residual life; and maintenance recording: detailed recording is carried out on specific item information of each time of maintenance.

The invention discloses a hybrid cloud resource operation and maintenance scheduling method, device and equipment based on a large model, and a storage medium, and relates to the technical field of computers, and the method comprises the steps: analyzing a natural language operation and maintenance request for a target cloud resource through a preset large model, so as to obtain an analyzed request, integrating the analyzed request with a corresponding cloud environment and a preset operation and maintenance constraint to obtain an operation and maintenance structured task; generating a multi-platform operation and maintenance script corresponding to the operation and maintenance structured task by using the preset large model, and performing operation auditing on the multi-platform operation and maintenance script based on a preset operation and maintenance environment; and based on the real-time cloud state of the target cloud resource and the service information corresponding to the analyzed request, scheduling the multi-platform operation and maintenance script passing the audit so as to realize operation and maintenance scheduling of the target cloud resource. In this way, the operation and maintenance efficiency can be remarkably improved, the labor cost is reduced, and the problems of delay and resource waste in a traditional operation and maintenance mode are effectively solved.

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 invention discloses an efficient operation and maintenance method and device for a large model system, and belongs to the technical field of artificial intelligence, and the implementation of the method comprises the following steps: constructing an operation and maintenance agent cluster of the large model system, which comprises a model deployment agent, a model detection agent, a model operation agent, a model upgrading agent and an operation and maintenance planning agent; after an operation and maintenance task is input, the operation and maintenance planning agent receives an input instruction, performs task understanding and analysis, and divides the task into a conventional operation and maintenance mode and a customized operation and maintenance mode; setting a conventional operation and maintenance mode by using the operation and maintenance planning agent, and calling the model detection agent and the model operation agent to guarantee and maintain function indexes and operation states of models in the system; and setting a customized operation and maintenance mode by using the operation and maintenance planning agent, and calling the model deployment agent and the model upgrading agent to complete customized deployment and upgrading of the model. According to the method, efficient deployment, continuous verification, dynamic expansion and intelligent upgrading of the model are realized.

The present application provides an article conveying device. The article conveying device (1) is provided with a moving body (2), a cover portion (3), a transfer mechanism (4), and a control portion (5); the transfer mechanism is provided with: a holding portion (10) capable of changing states to a holding state of holding an article (W) and a release state of releasing the holding of the article; a rotation portion (20) that rotates the holding portion around a rotation axis (4b) along the up-down direction; and a moving portion (30) that moves the holding portion between an internal position in a housing area (S) and an external position outside the housing area; the control portion, in a maintenance mode, in a case where an operation terminal has accepted an action instruction of the transfer mechanism, in a case where the rotation angle of the holding portion is within a non-interference angle range, executes the action of the transfer mechanism according to the action instruction, in a case where the rotation angle of the holding portion is an angle outside the non-interference angle range or the rotation angle of the holding portion is unknown, causes the operation terminal to issue and notify error information.

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 utility model relates to the technical field of equipment safety, in particular to a safety lock device which comprises a shell, a first safety lock, a second safety lock, a gear adjusting piece, an expansion connecting piece and a third safety lock. Then the first safety lock is inserted, the first safety lock is rotated to start the maintenance mode and is pulled out, each operator entering the equipment connects a third safety lock to the expansion connecting piece and takes down the third safety lock from the expansion connecting piece when leaving the equipment, and through the arrangement of the expansion connecting piece, it can be judged that an operator does not leave the equipment when the third safety lock exists; the mechanical injury risk is avoided, and the equipment safety is improved; moreover, by arranging the two safety locks, the first safety lock and the second safety lock need to be operated respectively when the equipment is restarted, the mechanical injury risk can be avoided even if the second safety lock is operated by mistake, and the safety of the equipment is improved.

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 artificial intelligence, and discloses a power equipment fault prediction system based on artificial intelligence. According to the system, through real-time data acquisition and intelligent data preprocessing, the operation state, environment information and historical fault records of the power equipment can be comprehensively acquired, so that dynamic monitoring of the equipment state is realized, and different from a traditional passive maintenance mode depending on regular maintenance and manual inspection, the system can timely identify potential faults and improve the maintenance efficiency. According to the method, the possibility of fault occurrence is accurately predicted, the risk of sudden equipment faults is reduced, power failure and economic loss caused by the equipment faults are effectively reduced, the operation and maintenance cost is remarkably reduced, meanwhile, operation and maintenance personnel can take timely maintenance actions according to early warning information and response measures generated by the system, and the maintenance efficiency is improved. According to the invention, the safe and stable operation of the power system is guaranteed, and in addition, through the active management mode, the service life of the equipment is prolonged, and the operation efficiency of the whole power system is improved.

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 relates to the technical field of computer and auxiliary equipment repair, and discloses an intelligent maintenance platform for a hub detection system, which comprises a hub radius deviation calculation module, a convex peak radius deviation detection module, a radius error correction module, a fault prediction and health assessment module and a hub maintenance report generation module. In the prior art, a traditional wheel hub maintenance mode of manual detection and static rule judgment is difficult to solve the technical problem that the wheel hub radius and the wheel hub convex peak radius have errors under the dynamic working condition, and a wheel hub positioning and driving system needs to be adjusted to carry out error compensation correction. According to the invention, through the combination of the adaptive control optimization method and the deep learning model, the accurate correction of the hub radius error and the prediction of the fault mode are realized, and the service life of the hub equipment is prolonged.

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 invention relates to the technical field of spaceflight electronic systems, and discloses a satellite-borne computer in-orbit one-bit data line connection fault remedy method and system, and the method comprises the steps: starting an EDAC error detection and correction function in a satellite-borne computer, and shielding the interruption triggered by a one-bit EDAC error; an atomic operation instruction in an application program target code is replaced by a common instruction with an equivalent function, and the risk of atomic operation interruption caused by EDAC errors is avoided; reconstructing a random access memory (RAM) maintenance mechanism, and replacing an original maintenance mode based on error detection and correction of EDAC interruption by adopting a read-out and write-back mode under the condition of shielding interruption protection; and modifying a reset processing function of the application program in an on-orbit programming mode, namely autonomously completing a bootstrap process of the bootstrap program in the PROM, modifying and perfecting a target code of the bootstrap program loaded into the RAM, and skipping to execute the modified and perfected bootstrap program. And hardware fault remedy processing is implemented through a software on-orbit programming measure, so that normal operation of satellite-borne computer software is ensured.

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 present application relates to the field of Internet of Things, and more particularly to an environment safety maintenance system based on networked equipment, which comprises a monitor for real-time monitoring of room temperature and uploading data, a one-key repair terminal for sending a repair request to a user information server, the user information server for pre-storing user information corresponding to the one-key repair terminal, a customer service server for receiving the repair request and judging a repair request transfer mode according to the repair condition, a transfer server for judging the repair request that needs to be transferred and sending the repair request obtained after the judgment to a maintenance terminal, the maintenance terminal for consulting user opinions and selecting a maintenance mode according to the user opinions, and a follow-up visit server for deciding whether to repair again according to the follow-up visit condition. The present application enables the user to timely and accurately repair the room heating facility, ensures the normal work of the heating facility, and improves the maintenance work efficiency and user service quality.

The present invention discloses a maintenance mode-based database abnormal state repair method and system, belonging to the field of database technology. The technical problem to be solved is how to access a database and restore data when the database enters an abnormal state and cannot be logged in. The method comprises: running a maintenance mode on the server where the database is located; using the password entered when the database directory is initialized as the maintenance mode password, calculating a hash value of the maintenance mode password as a check value and storing it in the database directory; when maintenance mode is activated, calculating a hash value of the input password and comparing the generated hash value with the check value; loading two specified template files when the database enters maintenance mode, and if at least one of the template files is successfully loaded, the database enters maintenance mode; replaying user-added data using a data playback tool in maintenance mode; and recording the operation process in a log, which is stored in an audit log.

A method, system, medium, and program product for generating an operation and maintenance mode analysis model relate to the field of electrical digital data processing. In this method, equipment operation data is obtained; a basic equipment life model is established based on equipment failure time data and non-failure working time data; an environmental correction coefficient is calculated based on equipment operation environment parameter data and preset environmental impact factors, and the environmental correction coefficient is combined with the basic life model to obtain a revised life prediction model; the correlation between each equipment node is calculated based on the equipment topology structure, and an equipment importance evaluation model is constructed; equipment maintenance cost, replacement cost, and downtime loss are calculated based on the prediction results of the revised life prediction model to obtain a cost loss model; the output results of the equipment importance evaluation model are weighted and fused with the calculation results of the cost loss model to generate an operation and maintenance mode analysis model. This application improves the scientific nature and accuracy of operation and maintenance mode analysis.

The invention 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 installation data layer, a data snapshot layer, a temporary maintenance layer and a directory display layer in a system installation stage, and creating each layer directory for system layering; s2, reading a configuration file status bit of a maintenance mode through a script in an initramfs stage of system startup, and determining to mount a corresponding data layer according to the configuration file status bit; and S3, when the user triggers mode switching, the background process responds to the switching request and updates the configuration file status bit of the maintenance mode, data migration is completed, the user is prompted to restart the system to complete switching, and the step S2 is returned after restarting. Through the scheme, the technical problems of insufficient configuration protection and complex management of the existing operating system for data modification are solved.

The present invention relates to rolling updates in a pipeline. The present invention provides an information processing system, comprising: at least one processor; and a non-transitory memory coupled to the at least one processor. The information processing system is configured to upgrade a plurality of hosts in an information processing system cluster by: receiving information about a fault domain of the cluster such that each of the plurality of hosts is a member of exactly one fault domain; and for each fault domain: causing all hosts of the fault domain to enter a protection mode in which no new virtual machines can be created or no new virtual machines can be accepted for migration; causing the hosts to enter a maintenance mode in which any existing virtual machines are migrated away from the hosts; and causing the hosts to perform an upgrade, wherein the plurality of hosts are configured to perform the upgrade simultaneously.

The invention provides a resource object maintenance method and computing equipment. The method comprises the steps of obtaining a maintenance request; the maintenance request comprises an object identifier of a to-be-maintained resource object and maintenance operation information; generating maintenance mode resource information corresponding to the to-be-maintained resource object according to the maintenance request and the resource definition file of the maintenance mode; controlling the to-be-maintained resource object to be in a maintenance mode according to the maintenance mode resource information; under the condition that the to-be-maintained resource object is monitored to be in the maintenance mode, performing maintenance processing on the target resource object according to the maintenance mode resource information; the target resource object comprises a to-be-maintained resource object and an associated resource object; the associated resource object is a resource object having an association relationship with the to-be-maintained resource object; the maintenance processing comprises at least one of the following steps: intercepting the resource change request of the target resource object, and tuning the target resource object. And the cluster stability is improved.

The invention belongs to the field of equipment maintenance data processing, and particularly discloses a spare part demand quantity determination method and system for a condition-involved maintenance unit. A one-way condition implicit maintenance mode is adopted for two units of the same equipment, and two characteristic values of a second unit are calculated in an integral mode according to life distribution of the two units and the maximum value of the number of failures of the first unit within the implicit threshold time; according to the two characteristic values, the service life distribution and the equipment guarantee period of the second unit, carrying out integral calculation on spare part guarantee probabilities of the second unit under different spare part numbers; and matching the spare part guarantee probability target value of the second unit with the spare part guarantee probability of the second unit in different spare part numbers, and determining the required spare part number. According to the method, the influence of the fault unit life and the implicated threshold time on the implicated unit life is accurately quantified in the form of the characteristic values, so that the spare part demand quantity of the condition implicated maintenance unit is accurately predicted.

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.

In accordance with the present disclosure, a switch under maintenance indicates to one or more of its neighbors that it will go into maintenance mode. The switch can add a maintenance indicator in a message to the neighbors. This “tagged” message informs the neighbor devices of the switch's intent to go into maintenance mode. After a time subsequent to sending the tagged message, the switch under maintenance advertises a message to the targeted neighbors to divert traffic away from itself. The neighbor computes a new path while at the same time continuing to receive traffic on the old path. Graceful switchover occurs when the neighbor sees traffic on the new path and, in response, stops traffic on the old path without losing traffic.