1495results about How to "Improve operation and maintenance efficiency" patented technology

The invention discloses a device detection and early fault warning system and method in a cloud computing environment. The system comprises a real-time monitoring module, a monitoring information presentation module, an early fault warning module and a warning module. The method comprises the following steps that firstly, real-time monitoring is conducted, wherein real-time information collection is conducted, and the real-time information is aggregated and presented; secondly, early fault warning analysis is conducted, wherein the collected information is subjected to early fault warning analysis; thirdly, a warning mechanism is triggered, wherein early warning information is classified. The device detection and early fault warning system and method can support protocols, autonomously and controllably select detecting indexes, adapt to different monitoring modes, customizing warning triggering conditions, extending the number of monitoring devices on a large scale and the like according to the types and the number of devices in a cloud computing data center, collection, monitoring, warning and fault positioning can be intensively conducted in a unified system, and the operation and maintenance efficiency is effectively improved.

The system is composed of measuring devices (including transceiver, analytic unit, and com. control unit) located at two ends of route of network to be tested, and feedback device (including feedback unit and com. control unit). The transceiver and feedback unit realizes interaction of testing stream between two ends of route of network, and fills in tested data for each packet in testing procedure. Being connected to each other, com. control units at two ends control and implement interaction of test data. Test stream is a string of test packet pair. Each test packet pair is back-to-back two packets with small length. If a packet is lost, the other packet is in use for representing time delay. Thus, time delay and packet lose can be measured. Analytic unit carries out associative analysis for the said two kinds of measured data, and evaluate overall state as well as determines and distinguish different causes for packet lose and congestion fault, and shows analytic result.

The invention discloses an ONU automatic upgrading method in an EPON access system, which includes steps that a webmaster computer sends automatic upgrading enabling configuration parameter and instruction; a master control disc stores the configuration parameter and sends the configuration parameter to designed line cards; each line card modifies and stores the configuration parameter; the master control disc unloads upgrading file and stores the upgrading file to local buffer memory; the master control disc notices on-line line cards or AC 16 disc to unload and store the upgrading file; the line card store the upgrading file to the local buffer memory; and designed ONU obtains the upgrading file from the line cards or the AC 16 disc, writes in FLASH of the ONU to complete upgrading and reporting the upgrading result. The invention can once realize automatic upgrading of all ONUs under the line cards, even if the OUNs are not on-line when configuring , the invention can realize upgrading for the ONUs after the OUNs are on-line next, thereby increasing operation maintain efficiency in the EPON access system.

The invention provides a micro service infrastructure unit including a service registration center, a consumer micro service part, a producer micro service part and a pluggable service plug-in. The pluggable service plug-in is connected with a micro service container of the consumer micro service part. The consumer micro service part and the producer micro service part are connected through five functional components including a service register, a service refresher, a server finder, a server provider list and a service registration center. The unit realizes communication among clustering nodes based on a distributive basic communication protocol and synchronizes all routing information. At the same time, a Web service frame is packaged and interface service including service finding, registration and refreshing are realized. According to the invention, based on container technology, capabilities of quick resource creation and recycle and automatic deployment of development and testingenvironment are realized; a trans-cloud platform resource scheduling capability can be realized; development and operation and maintenance efficiency of an enterprise application system are improved;and good application and promotion values and good market prospect and social benefits are achieved.

The invention discloses an application program configuration method and device, a server and a storage medium. The configuration management server acquires update configuration parameter data of application programs to be configured; the configuration management server generates an update configuration file according to the update configuration parameter data and a corresponding configuration template; the configuration management server sends an update instruction to a configuration proxy server, the update instruction is used for indicating the configuration proxy server to obtain the updateconfiguration file from the configuration management server and configure the application programs to be configured according to the update configuration file. According to the technical scheme, theproblems are solved that in the prior art, the operation and maintenance costs are high, the development cost is high, and application programs are correctly configured according to service demands since third-party application programs or legacy systems cannot be modified; the technical scheme has the advantages that the application programs are conveniently configured according to the service demands, the operation and maintenance costs are further reduced, the deployment cycle is shortened, and the operation and maintenance efficiency is improved.

The embodiment of the invention relates to a management device, a controlling device, a management and controlling device and a router system, wherein the management device comprises a systematic management interface and a systematic management unit, the systematic management unit is used for acquiring an allocation command from the router system for analyzing, and transmitting analyzing results to corresponding unit components in the router system; running status information and statistical information of the hardware and software of each unit component of the router system are monitored and acquired, and equipment management operation is performed on each unit component in the router system based on the status information, the statistical information and the allocating command; and the acquired status information and statistical information are transmitted. The management device, the controlling device, the transmission device, the management and controlling device and the router system can be independently extended through the supplement of the unit components, the whole systematic resource can be divided into a plurality of logic routers and can be dynamically reconstructed as required, so that the loading requirement of convergence and separation of various services can be met.

The invention discloses a multi-terminal industrial equipment inspection monitoring system and method based on a digital twinning technology, belongs to the technical field of intelligent manufacturing, and comprises a physical entity module, a visual interaction module, a data calculation module and a data transmission and feedback driving module. According to the invention, all state data in theindustrial equipment production process are extracted through the PLC; the OPCUA interface is used for transmitting the key data to the server; operation processing is carried out on the data by means of cloud service; augmented reality equipment, a PC and mobile terminal equipment are matched; mapping from an entity physical space to a digital space is realized; feedback control of the digital space on the entity physical space is realized. According to the invention, the visual inspection of the production state of the industrial equipment is realized, the problems of poor data visualization, poor data correlation and the like in the production and manufacturing process are solved, the data visualization degree and the data real-time feedback degree in the industrial manufacturing process are significantly improved, and the purposes of fault early warning and equipment data real-time visualization are achieved.

The invention provides a massive operation and maintenance implementation method and belongs to the technical field of product full-life-cycle operation and maintenance. In the method, in the perspective of a whole business system, according to log information of a host, a database, middleware and a business system related to the whole business system, massive logs are analyzed through big data, and function and performance problems, which possibly occur in software and hardware environments, of an information system are analyzed. Problems of the information system or even specific business functions in the levels of hardware, software and services are effectively monitored, the service capacity is enhanced, the overall operation and maintenance risk is controlled, and the operation and maintenance efficiency is improved.

The invention discloses a BIM-based digital twin smart machine room management method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the operation data of a to-be-monitored object in real time, storing the operation data in an operation and maintenance database, and updating an integrated BIM model of a to-be-monitored scene; judging whether theto-be-monitored object is in a fault state or not according to the operation data: if the to-be-monitored object is in the fault state, displaying an alarm identifier for the to-be-monitored object inthe fault state on the integrated BIM model, and taking the to-be-monitored object corresponding to the alarm identifier as a to-be-processed object; displaying the alarm information corresponding tothe to-be-processed object, performing fault diagnosis on the to-be-processed object, generating a maintenance work order, and obtaining a fault diagnosis result and the maintenance work order; according to the fault diagnosis result, recommending a fault solution corresponding to the to-be-processed object by utilizing a preset neural network model. According to the invention, a user can maintain the data center efficiently, and the fault processing efficiency is improved.

The embodiment of the invention relates to the field of cloud storage and specifically relates to a Ceph cluster automatic deployment method and system based on a big data platform. The system comprises a management node module and a computation node module. The management node module comprises a deployment module, a parameter configuration module, a monitoring management module and an alarm management module. The computation node module comprises an automatic installation module, a parameter synchronization module and a state monitoring module. According to the method and the system, automatic deployment can be realized rapidly and the efficiency is improved by more than 2 times.

The invention relates to a non-contact monitoring defect identification method for a contact network, which comprises the following steps of acquiring information data of videos, images and audios through a sensing terminal, caching and transmitting the information data in real time through a communication network. By adopting a distributed big data service cluster built based on GPU hardware equipment or a cloud data processing center, the information data is received and stored in a distributed file system, a training set of the information data is established, and distributed calling and parallel computing are carried out on the information data based on a deep learning technology to realize real-time monitoring and fault analysis on the contact network operation information data. Themethod is used as a technical means for monitoring and detecting a non-contact overhead line system; real-time analysis and diagnosis of non-contact video and image monitoring detection of the overhead line system can be realized, a manual intervention mode is avoided, the accuracy of analysis and diagnosis is improved, and the labor cost is reduced, so that digital, intelligent and intelligent revolution of monitoring detection of the high-speed railway overhead line system is realized.

The invention relates to an electric power information communication scheduling and monitoring platform which sequentially comprises a data acquisition analysis processing layer, a cooperation scheduling layer and an application display layer in the sequence from the lower layer to the upper layer. The data acquisition analysis processing layer collects operating state conditions, resource allocation data, asset data and safety data of all electric power system IT resource objects through all data acquisition modules according to a management strategy, classifies the data and transmits the data to the cooperation scheduling layer through data buses corresponding to all data types. The data acquisition analysis processing layer uploads the analyzed data to the cooperation scheduling layer, and the data are monitored through an operating monitoring module to find faults and automatically-given alarms or fault declaration and service requirements from clients to update the corresponding modules. The application display layer builds a unified image platform to enable the data of the cooperation scheduling layer and the data acquisition analysis processing layer to be displayed in an imaging mode. According to the electric power information communication scheduling and monitoring platform, real-time management and real-time monitoring on the IT resources are achieved, and the operating conditions are mastered in real time.

The invention discloses a method for online detection and assessment of a photovoltaic system, comprising steps of starting up a voltage-current scanning function through an MPPT function in a photovoltaic system, enabling output voltage of a photovoltaic array which is received by the MPPT to be from minimum working voltage state to an open circuit state or from the open circuit state to the minimum working voltage state, detecting the current value and the voltage value of the MPPT of each path in the process, collecting physic quantities of the corresponding moment like the solar radiation, environment temperature, photovoltaic assembly temperature, wind speed, wind direction, etc, utilizing collected data to adopt a fitting method to establish a photovoltaic power calculation model, combining and utilizing leave factory parameters of the photovoltaic assembly or an initial photovoltaic power calculation model which is established by a PVsyst database, and calculating energy efficiency indexes of each link and obtaining an energy efficiency analysis result after the faulted time frame is eliminated. The invention realizes the online detection of various physic parameters of the photovoltaic system, the photovoltaic array modeling and calculation and analysis of the energy efficiency index of each link.

The invention discloses an automatic mapping monitoring system and method of an intelligent substation secondary virtual loop. The method comprises the steps of: firstly, obtaining an SCD file for reading all station devices and carrying out analysis to obtain an included data models and connection relations corresponding to switches and virtual loop devices; creating pixels corresponding to different switches and virtual loop devices so as to form a pixel database; establishing a mapping correlation between the switch pixels and the switches, generating a switch network map indicating switch link connection relations, establishing a mapping correlation between the virtual loop device pixels and the devices, and generating a virtual terminal connection map indicating device link topological connection relations, with an interval serving as a unit; and finally, receiving real-time virtual loop link states uploaded by devices in the intelligent substation in real-time, updating the corresponding switch network map and virtual terminal connection map, and monitoring the link states online. According to the invention, the mapping efficiency of the switch connection map and the virtual terminal connection map can be improved, the online real-time monitoring level is increased, and the operation and maintenance efficiency of the secondary virtual loop is improved effectively.

The invention provides a release method, a device and a system for Internet application. The method comprises the steps of acquiring application submitted by an application developer and marking the application state of the application to be 'to-be-detected'; synchronizing the application which is marked to be the 'to-be-detected' to an application testing platform, so that the tester can perform a test; acquiring a test report of the application which is marked to be the 'to-be-detected' submitted by the tester and marking the application state to be 'to-be-verified'; and when the application which is marked to be 'to-be-verified' is verified and qualified, synchronizing the qualified application to a commercial platform, so that users can download and use the application. According to an embodiment of the method, the device and the system, the technical problems that the testing cost and the maintenance cost are high and an application test can not performed in an actual environment due to the fact that a test bed environment is required to be added in an application test in the prior art are solved.

The invention discloses an operation monitoring system for an electricity consumption information acquisition system. The operation monitoring system comprises an abnormality data recognition module, a data statistics module and an application release service module. An electricity consumption information acquisition system operation abnormality recognition model is established in the abnormality data recognition module. The abnormality data recognition module calls data from an acquisition database of the electricity consumption information acquisition system; the electricity consumption information acquisition system operation abnormality recognition model analyzes the data to judge and recognize metering devices which are abnormal and inputs recognized abnormality results into the data statistics module; the data statistics module is used for pre-counting the recognized abnormality results and storing statistical results in an application release server; the application release service module displays the statistical results according to set query conditions. The invention further provides an operation monitoring method for the electricity consumption information acquisition system. The operation monitoring system and the operation monitoring method have the advantages that operation abnormalities of the electricity consumption information acquisition system can be discovered and recognized in time, and various abnormalities can be queried conveniently.

The invention provides a unified management platform for IT devices in distributed computer rooms. The unified management platform comprises a unified management module and a centralized monitoring module. The unified management module is used for conducting unified management on the various types of IT devices located at different regions, and unified management involves remote management of the various types of devices, remote batch script execution, remote batch production inspection, remote obtaining of configuration information of the devices and remote login of device monitoring consoles. The centralized monitoring module is used for conducting centralized monitoring on the various types of IT devices located at different regions, and centralized monitoring involves data acquisition, data handling, data processing, and data presentation and management. The unified management platform can be used for conducting unified management on the devices of the computer rooms distributed at the regions and can be used for conducting unified management according to different types and different brands of devices, and therefore unified management of different devices at different regions can be achieved through the same platform.

The invention discloses a method for monitoring the network abnormity through performance data, which is applied to network management system. The method comprises the following steps: (1) a performance monitoring module is arranged in the network management system, and the network management system starts up the module and performs load; (2) after loading the module, the network management system performs corresponding examination on the performance data of each monitored object, which is brought into the module, and the network management system produces the warning recovery information if the examination of each performance data can be satisfied, otherwise the network management system produces the warning report information; (3) the network management system judges if all the monitored objects are processed, if the process is not finished, the step (2) is carried out continuously. The invention has the core concept that through the design of the performance monitoring module, an early warning system is established, abnormal situations probably existed in the system can be detected in time, and maintainers are informed to carry out the investigation and solution by a warning mechanism.

The invention discloses an intelligent operation and maintenance framework design method for a power grid dispatching control system, which includes the following steps: 1) omni-directional monitoringdata acquisition, 2) monitor data storage, 3) real-time monitoring alarm, 4) fault diagnosis and location, and 5) multi-dimensional visual display. The application can monitor the operation status ofthe whole system in real-time, evaluate the health status of the software and hardware such as the host, storage, application and the like in an effective, accurate and timely manner, and provide effective information for system optimization and fault discovery, and improve the operation and maintenance efficiency of the system.

The invention provides a remote intelligent inspection system for transformer substations and an implementation method of the inspection system, and belongs to the technical field of video monitoring. The system comprises a white-light pan-and-tilt camera, an infrared thermal imaging camera, a high-fidelity pickup, a network switch, a comprehensive monitoring host, an intelligent analysis host, a network hard disk video recorder, a transformer substation data communication network, a remote master station server, a user computer and a printer. The implementation method includes the steps: when the system operates, firstly, compiling inspection differentiation forms according to inspection specifications of national grid transformer substation devices; sequentially combining various inspection scenes, making an inspection route meeting display requirements, designing selecting principle of the devices, and selecting rational positions; identifying and analyzing device correlation images obtained by inspection by the system, outputting analysis results, and automatically generating inspection reports; printing inspection reports of designated time by operation and maintenance staff, or directly taking inspection route records of the designated time. The remote devices of the transformer substations can be inspected without reaching the transformer substations.

The invention discloses a dialing testing system and method applying to the IP IMS network. The system comprises a foreground application module which is used for generating a dialing testing request with a reserved number corresponding to a user terminal, a task dispatching module which is connected with the foreground application module and used for receiving the dialing testing request and generating an acquiring task according to the dialing testing request, a data acquiring module which is connected with the task dispatching module and used for receiving and performing the acquiring task to obtain at least one dialing testing data, and a data analyzing module which is connected with the data acquiring module and used for analyzing the at least one dialing test data to obtain the dialing test result and returning the dialing test result to the foreground application module.

The invention discloses a network attack alarming method and system. The network attack alarming method comprises the following steps: detecting whether a target host is subject to a network attack ornot, and determining an attack type of the network attack; if the target host is subject to the network attack, detecting whether the network attack is successful or not, and determining an attack action of a successful network attack; if the network attack is successful, generating first alarm information comprising the attack type of the network attack and the attack action of the network attack; and if the network attack is not successful, generating second alarm information comprising the attack type of the network attack. The network attack alarming method and system provided by the invention has the advantages that the successful network attack can be screened out, so that the operation and maintenance efficiency can be improved, and real vulnerabilities can be discovered.

The invention discloses an integrated intelligent gateway machine configuration method based on unified modeling of a transformer station. The method comprises the following steps: performing the unified modeling on IEDs at a transformer station layer in advance; introducing manufacturer initial model files of all the IEDs of the transformer station; carrying out static inspection; generating SCD / SSD engineering files of unified data structures, shared by all the IEDs; when file data needs to be downloaded for specific station control layer devices, downloading the file data for specific IED devices by use of a corresponding download approach; and when databases and figure files need to be configured to the station control layer devices, based on the SCD / SSD engineering files of the unified data structure, shared by all the IED devices, configuring the needed databases and figure files for the station control layer devices by use of a unified modeling language (UML). The method provided by the invention can reduce data check work of each intelligent device, improves the intelligent debug, design and operation efficiency, effectively improves the power supply quality of the transformer station and also has the advantages of good versatility, high practicality and convenient application.

The invention belongs to the structural health monitoring field and relates to a system monitoring whether a pipeline leaks or is blocked or not in real time. An intelligent monitoring system comprises pipeline state monitoring devices, signal acquisition modules, signal transmission modules, power supply modules and data analysis display modules, wherein sensors in the pipeline state monitoring devices are buried in the inner walls of the monitoring devices, and three or more pipeline monitoring systems are buried in the pipelines between pump stations and used for monitoring the pressure of fluid conveyed by the pipelines to the pipeline walls, the fluid temperature and the flow state in real time. An information analysis system carries out analysis operation according to acquired sensor signals, judges whether the signals are abnormal or not, judges whether leakage or blockage occurs in the pipelines or not, and feeds analysis results and warning information to monitoring personnel of the pump stations, thereby achieving intelligent monitoring of pipeline health states, positioning breakdown areas more quickly and more accurately and realizing precise maintenance.

The invention relates an electric transmission line insulator sweeping pole-climbing robot with a climbing deviation rectification function and relates to a robot. At present, insulators are cleaned with a mechanical sweeping method, a water washing method, a gas flushing method and other methods in domestic, manpower pole climbing, inspection and sweeping are high in labor intensity, potential safety hazards exist, and the operation efficiency is low. The electric transmission line insulator sweeping pole-climbing robot comprises a pole-climbing robot body, a detection pan tilt, a cleaning mechanical arm, a control module and a robot ground upper computer control system; the pole-climbing robot body is provided with a climbing deviation rectification device used for rectifying the deviation of a pole climbing track during pole climbing; the control module is provided with a movement deviation rectification control system for enabling the climbing deviation rectification device to conduct climbing deviation rectification; and the ground upper computer control system comprises an image analysis and process module for monitoring and analyzing images sent by the detection pan tilt. Through the technical scheme, safety problems exist during manpower climbing and mechanical sweeping, water flushing and gas flushing of common manpower are solved, the maintenance convenience and maintenance efficiency of an electric transmission line are improved, and the labor intensity is relieved.

The invention relates to the technical field of cloud computing cluster management and particularly relates to a high-usability cluster node management method. A cluster node management method has three roles including a main node, a backup node and a common node, wherein the main node is used for managing cluster members and detecting node state; the backup node is used for copying node ring information and replacing the main node when the main node has a fault; the common node is used for processing a main node command and monitoring a precursor node. The high-usability cluster node management method disclosed by the invention can satisfy the function and performance requirements when the cluster scale is increased and is applicable to cluster node management of most high-usability environments.

The invention relates to a trans-regional synchronization fault monitoring method, device and system in an electric safety region, computer equipment, and a readable storage medium. The method comprises the following steps: acquiring monitoring data of an operation system in a trans-regional synchronization process, performing state analysis on the operation system according to an acquisition result of the monitoring data to obtain a state analysis result; and generating a fault monitoring result according to the state analysis result. By acquiring the monitoring data of various operation systems in the trans-regional synchronization process and performing the state analysis and fault diagnosis on the operation system based on the acquisition result of the monitoring data, the fault produced in the trans-regional synchronization process can be timely discovered and the fault reason can be determined, the fault detection efficiency is improved, and the operation and maintenance staff can fast repair the produced fault according to the fault monitoring result, thereby guaranteeing the normal operation of the trans-regional data synchronization data of an electric system, and furtherimproving the operation and maintenance efficiency and the working efficiency of an electric automatic system.

The invention relates to an openstack based agent deployment system and method, and relates to the field of cloud computing. The openstack based agent deployment system comprises a server, a first management access switch, a second management access switch, a management core switch and at least one computing node, wherein the server is connected with the management core switch through the second management access switch, and the management core switch is connected with the first management access switch. The characteristics lie in that each computing node comprises an agent virtual machine and a management virtual switch, and an agent management network card of the agent virtual machine is bound to the management virtual switch; each computing node corresponds to one computing node management network card, the computing node management network card accesses to a port of the first management access switch, and the management virtual switch binds the computing node management network card. The openstack based agent deployment system reduces forwarding paths, improves the network forwarding performance and reduce the later workload of the operation and maintenance personnel under the condition of conforming to third-level requirements of classified protection.

The invention discloses a NAS (network attached storage) cluster system. The cluster system comprises at least two nodes connected through a network, wherein a resource management unit, an NAS service management unit, a network service management unit and a high-availability management unit are arranged on each node, the high-availability management units select control nodes from all nodes, the high-availability management units for the control nodes regularly execute high-availability management, including receiving node physical information reported by the network service management units, updating a node resource pool, sequentially detecting all nodes in a fault state or active state in the node resource pool and conducting corresponding processing according to pre-configured strategies. The NAS cluster system reasonably configures virtual IP resources and dynamically adjusts the state of cluster nodes, so that balanced allocation of logic resources is realized as far as possible, the utilization rate of physical sources is increased, and the cluster operation cost is reduced.

The invention provides an alarm generation method and system. The alarm generation method is carried out in a cloud computing environment on the basis of a big data analysis technology. The method includes the following steps that: the operation data of a monitoring object and the operation data of at least one association object are collected on the basis of a predetermined collection policy, wherein the association objects are objects directly or indirectly affecting the operation state of the monitoring object; the pre-stored historical operation data of the monitoring object and the at least one association object are acquired on the basis of a predetermined data analysis policy, and data analysis is performed on the collected operation data of the monitoring object, the operation dataof the at least one association object and the acquired historical operation data of the monitoring object and the at least one association object, so that the performance trend and state change of the monitored object is obtained; and intelligent alarm analysis decision is performed on the performance trend and state change of the monitored object on the basis of an alarm policy, whether an alarm is to be generated is determined.