2833results about How to "Reduce operation and maintenance costs" patented technology

The invention discloses an asset transaction method and a system. The method comprises steps that an acquired first transaction request is signed by a consignment agency, the first transaction request after signature is sent to the block chain network established on the basis of the P2P network, the first transaction response data is constructed by an issuing mechanism on the basis of the first transaction request acquired from the block chain network, the first transaction response data is sent to the block chain network so that validity of the first transaction response data can be confirmed by a block chain node on the block chain network responsible for accounting, the first effective transaction response data is written in a block chain data block, the block chain data block is acquired by the consignment agency through the block chain network, and asset transaction with the issuing mechanism and the consignment agency is accomplished. Through the method, transaction steps between the issuing mechanism and the consignment agency can be reduced in a transaction process, risks of being tampered of the data can be reduced, asset transaction confirmation cost is reduced, and operation cost of the block chain network is further reduced.

The invention relates to an electric power system mass data management system and a use method thereof. The system comprises a simulation data distributed storage subsystem and a mass simulation data processing subsystem. The simulation data distributed storage subsystem stores data in a plurality of independent interconnecting devices in a dispersed manner, adopts a clustering mode and includes a metadata server master and a file server. The mass simulation data processing subsystem distributes the data onto different database servers through segmentation rules, accesses a specific database in a routing manner through routing rules and comprises a data access layer, a data management layer and a data storage layer. The method includes a simulation data distributed storage subsystem data processing method and a mass simulation data processing subsystem processing method.

The invention provides a distributed photovoltaic power transaction platform based on a block chain technology. The transaction platform comprises a block chain database node module (1), a block module (2), an encryption and verification module (3) and a decision module (4). The block chain database saves a photovoltaic power database copy at a number of nodes. The block chain database is divided into a number of blocks associated with a photovoltaic power transaction, and each block comprises transaction details. The encryption and verification module combines and encrypts the common transaction details and unique signatures of two or more parties to acquire network-wide authentication. According to the decision module, in a mandatory trust mechanism, if encryption records corresponding to all nodes are consistent, the transaction is valid. A historical transaction chain is added. If a block is invalid, the consensus of a node changes the information of a violation node. Through the platform, a highly trustworthy and fully interactive photovoltaic power transaction can be established; precise digital energy management is realized; and the cost of operation and maintenance is reduced.

The invention discloses an intelligent electrical equipment environment monitoring system based on cloud computing and big data analysis. The system comprises a cloud server, an intelligent master control device, monitoring devices and communication equipment communicating with the cloud server, wherein the monitoring devices are used for acquiring related data of an electrical equipment environment and transmitting the data to the intelligent master control device; the intelligent master control device is used for controlling the monitoring devices and transmitting the data received from the monitoring devices to the cloud server; the cloud server is used for receiving and storing the related data of the electrical equipment environment; a user accesses the cloud server through a mobile phone or a computer and then controls the master control device and the monitoring devices remotely. The system depends on cloud computing to perform big data analysis on online meteorological information, real-time data and historical data, intelligently monitors the monitoring devices of all nodes, evaluates the monitoring effectiveness, analyzes potential risks effectively and solves problems by which people are puzzled for many years about outdoor electrical equipment microenvironments, online micrometeorology monitoring, real-time intelligent control and the like.

The invention provides an intelligent alarm monitoring method of a neural network. A brand-new intelligent communication network comprehensive monitoring analysis and fault locating system is built by adopting an alarm correlation analysis and locating technology based on an expert system of the neural network. The system guarantees effective monitoring of repeated alarming, alarm oscillation, alarm flash and alarm storm by collecting the alarm data of each piece of equipment of each network element system of each major, and filters out a storm alarm, a flash alarm, an invalid alarm and a secondary alarm correctly; and the system can pick out an important alarm event which is really required to be processed from the collected mass alarms based on a deep correlation rule analysis and neural network technology, and can locate and remove a network fault quickly and correctly. The correction rate of network alarm analysis and fault diagnosis can be improved obviously, customer satisfaction is improved, and operating cost and maintenance cost are reduced greatly, so that the aims of reducing the work load of an operator and a maintainer and improving the efficiency of fault management are fulfilled.

The invention discloses a remote operation and maintenance system for a textile machine, and an implementation method for the remote operation and maintenance system. The system comprises a textile machine IOT (Internet of Things) sensing system, a data transmission system, a cloud platform system and an operating system. The textile machine IOT sensing system comprises a textile machine device, aPLC controller, an industrial Internet intelligent transmission terminal connected with the PLC controller, a web camera installed on the textile machine device, a detection sensing device installedin textile machine device and a field actuator. The system achieves the real-time condition monitoring service, operation statistical analysis service, fault/abnormal condition alarm service, device failure rate distributed analysis service, online fault diagnosis service, remote maintenance and real-time video surveillance service of the textile machine device. The system realizes remote diagnosis and maintenance of the textile machine through taking the textile machine IOT sensing system and industrial cloud platform as the basis, centralizes and integrates the original piecemeal management,and promotes the whole life cycle management of equipment.

The invention discloses an integrated tobacco industry information security, operation and maintenance application platform system, which comprises an information security, operation and maintenance service management portal module, a centralized security control module, an informationized work management module and a business service management center module; the information security, operation and maintenance service management portal module is respectively connected with the business service management center module, the centralized security control module and the informationized work management module; the information security, operation and maintenance service management portal module mainly comprises a display module, a business module and an acquisition module, and the acquisition module is provided with an operating command interface and an external platform interface. The system can be used for centrally managing information security and IT (Information Technology) service, realizing the centralized management of accounts, authentication, authorization, audit and access, standardizing security, operation and maintenance management, increasing the quality of operation and maintenance, decreasing security risk, regularizing the behaviors of users, and facilitating to increase the professional levels of technicians.

The invention relates to a smart factory management platform system comprising an intelligent sensing layer for collecting, arranging and storing data of all information sources during a production process, an intelligent data analysis layer for carrying real-time analyses on various collected data, monitoring, evaluating, and predicting healthy states of equipment and product quality states, displaying analysis results at a visual human-computer interaction interface, and generating corresponding decision-making support suggestions, and a management and decision-making layer for pushing the analysis results and decision-making suggestions to all departments under jurisdiction of a company and providing a decision-making and planning basis for a superior information system. According to the invention, historical and real-time monitoring data and production data are dug fully and health states of the equipment are analyzed and controlled precisely and quantitatively; a reasonable production plan and a reasonable maintenance plan are made based on the predictive analysis of the states of the equipment; failures of the equipment and products due to faults can be prevented; the operation and maintenance costs are lowered effectively; the production efficiency is improved; the product quality is guaranteed; and the comprehensive competitiveness of the market is strengthened.

The invention discloses a data index exception monitoring method and system, a storage medium and electronic equipment. The data index exception monitoring method comprises the following steps that: obtaining a data index which needs to be monitored and the historical data of an associated data index corresponding to the data index which needs to be monitored; according to the data index which needs to be monitored and the historical data of the associated data index, generating a scatter diagram; according to the data index which needs to be monitored, the historical data of the associated data index and the scatter diagram, through a quantile regression algorithm, selecting an upper tail, a lower tail and a median, and taking the upper tail, the lower tail and the median as parameters togenerate a learnt monitoring sample model through machine learning; and comparing a data difference between the data index which is obtained in real time and needs to be monitored and the monitoringsample data, and carrying out exception detection on the data index which needs to be monitored, wherein the exception detection on the data index which needs to be monitored comprises exceptional fluctuation point detection and exceptional fluctuation tendency detection.

The embodiment of the invention discloses a network fault detection method, a terminal and a computer readable medium. The method comprises the following steps: monitoring a network connection state,wherein the network state comprise network connection normality and network connection fault; when it is monitored that the network connection state is the network connection fault, determining the current network fault cause; and matching a solution according to the current network fault cause; and generating a prompt message according to the current network fault cause and the solution, whereinthe prompt message is used for guiding the user to perform network repair operations. By adoption of the network fault detection method, the terminal and the computer readable medium provided by the embodiment of the invention, the network fault can be detected automatically, and the prompt message is generated to guide the user to perform network repair operations, thereby reducing the operationand maintenance cost and improving the user experience.

The invention provides a train formation control system which comprises at least one vehicle and a train bus, wherein all vehicles are communicated through the train bus and are formed into a train; each vehicle comprises a vehicle bus, a TCN gateway and a control unit, wherein the TCN gateway forms an interface between the train bus and the vehicle bus, and the control unit is used for storing the structure information of the train; and at least one vehicle system comprises a locomotive, a motor train unit and a trailer. In the system, each vehicle is internally provided with a TCN gateway so as to enable each vehicle to respectively form a set of network; when the quantity of any one of the locomotives, motor train units and trailers is changed, the TCN gateways can address nodes automatically according to the corresponding sequence through initial operation to re-allocate addresses to the vehicles so as to determine the positions of the vehicles relative to a host node and notify the directions of all node trains, so that flexible train formation can be realized; and according to the actual operation condition, the train formation quantity is adjusted so as to reduce the train inspection rate and reduce the operation and maintenance cost.

The invention discloses an SSH protocol operation and maintenance auditing system based on proxy technology. A monitoring playback module is arranged in a proxy server, auditors monitor operation and maintenance sessions between a client side and a target server in real time through the monitoring playback module, and meanwhile the auditors also can play back the finished operation and maintenance sessions according to their requirements. The invention further discloses an SSH protocol operation and maintenance auditing method based on the proxy technology. The functions for command analysis and session monitoring, cut-off and playback in the operating process are achieved when operation and maintenance staff conduct operation and maintenance operation on the target server, and beforehand prevention, current intervention and post analysis and processing of the operation and maintenance operation are achieved. According to the system and method, the internal risk control level of enterprises is increased to a certain degree, the operation and maintenance management level of an information system is increased, user behaviors on the servers are tracked, operation and maintenance cost is reduced, control and audit bases are provided, and the operation and maintenance operation is safer.

The invention provides a micro-service processing method and micro-service processing equipment, which are applied to a server for providing a micro-service, and the method comprises the following steps that: the server receives a message for calling the micro-service from a terminal for consuming the micro-service, and the message comprises a service identifier and an interface identifier of a target micro-service; And then the server determines a corresponding target thread pool according to the service identifier and the interface identifier of the target micro-service, and finally calls the working thread in the target thread pool to execute the message, and the method can limit the fault influence range in the thread pool, prevents the fault influence range from diffusing into the whole micro-service process, and is low in hardware and operation and maintenance cost.

The invention discloses comprehensive device monitoring system architecture. The comprehensive device monitoring system architecture comprises a data collection layer, a data processing layer and a data presentation layer; the data collection layer comprises a data collection engine and a data collection script and monitors the automatic generation of a configuration file; the data processing layer comprises a CMDB library data processing module, a business engine, a data collection engine monitoring configuration file transmission module, a collected transmission module of a data collection engine and a business engine and an analyzing and processing module of alarm data; the comprehensive device monitoring system architecture disclosed by the invention has a large alarm data size, thereby requiring a good alarm collection processing means to ensure the instantaneity; as the definitions of alarm fields of different industries and manufacturers are different, a large amount of works are required to trim the alarms; a flat management structure collectively processes the alarms in the industries on the basis of standardization of the alarms, thereby requiring an extract alarm association and preprocessing rule; and the incidence relation among the alarms, the IT resources and business is confirmed, and a model of alarm influence analysis is established.

The invention relates to a method for network coverage optimization processing, which comprises the steps: in step S102, collecting first coverage optimization data related to a local party and secondcoverage optimization data related to other base stations by a base station, judging whether coverage optimization is carried out or not in the local party according to a predetermined decision rule,if so, carrying out step S104, or else, carrying out step S106 and step S108, in step S104, if so, carrying out adjustment by the base station according to a first predetermined coverage optimizationrule, in step S106, or else processing the first coverage optimization data and the second coverage optimization data, reporting the data to a network administration node, determining an adjusting result by the network administration node according to local configuration data, the first coverage optimization data, the second coverage optimization data and a second predetermined coverage optimization rule, informing the base station and/or other base stations of the adjusting result, and in step S108, carrying out corresponding adjustment by the base station and/or other stations according tothe adjusting result. In addition, the invention also discloses a system for network coverage optimization processing.

The invention discloses an intelligent Operation and Maintenance Analysis System Based on Multi-source Heterogeneous Data Fusion, Machine Learning and Customer Service RobotBased on multi-source heterogeneous data fusion, In the intelligent operation and maintenance analysis system of machine learning and customer service robot, the analysis and processing module uses the multi-source heterogeneous data fusion technology to preprocess and normalize the real-time data. After the correlation analysis, the model matching is used to output the results, and the root cause of the problem is determined by root cause analysis. The model management module is used for acquiring data for machine learning and outputting various reasoning models to the analysis processing module and the recommendationdecision module. The recommendation decision module recognizes the context and matches the corresponding subsequent processing behavior according to the policy. The invention is based on the multi-source heterogeneous data fusion technology and the operation and maintenance mode of machine learning, which gives consideration to the compatibility problem of the big data, improves the automation degree of the operation and maintenance, guarantees the network safety and the service quality, simultaneously has certain prediction ability, and reduces the related operation and maintenance cost. Theoutput mode of the customer service robot further realizes the intelligence of operation and maintenance.

The embodiment of the invention provides a resource monitoring method and apparatus. The method and apparatus are applied to a monitoring system based on an Internet of Videos. By obtaining the serverinformation and monitoring management information of at least two protocol conversion servers in the Internet of Videos, when a management platform receives a monitoring data browsing request sent bya monitoring client, the management platform can determine a first protocol conversion server that needs to be called for accessing a first monitoring device according to a first device information carried in the browsing request and monitoring management information characterizing a mapping relationship, and the first protocol conversion server obtains the monitoring data of the first monitoringdevice to make response to the browsing request of the monitoring client and send the monitoring data to the monitoring client. As the numerous protocol conversion servers and the massive monitoringdevices in the Internet of Videos are integrated by the management platform, when numerous resources are monitored, the monitoring device needing to be accessed can be positioned quickly and conveniently to perform quick and efficient monitoring.

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 present invention belongs to the field of information technologies, and discloses a big data based power grid information operation and maintenance active early-warning method. A system comprises state early-warning, threshold early-warning, fast change early-warning, trend early-warning, evaluation early-warning and association early-warning, so that effective combination of the information operation and maintenance active early-warning method and the information operation and maintenance system is implemented, promotion and application of a bid data technology in a power grid information operation and maintenance field are implemented, and efficient statistical analysis, mining analysis and real-time stream processing of information operation and maintenance data are implemented based on the big data technology, data value is effectively mined, active early-warning is implemented, and efficiency of information operation and maintenance is improved.

The invention discloses a distribution network communication optical cable fault location method and device and belongs to the technical field of electric power telecommunication. The distribution network communication optical cable fault location method includes building a geographic space model of distribution network communication optical cables; displaying a route distribution diagram of the distribution network communication optical cables on a Geographic Information System (GIS) map according to the geographic space model; after acquiring optical cable fault information, calculating the geographical location information of fault points of the optical cables according to the route distribution diagram and a preset fault point location algorithm; marking the fault points of the optical cables on the GIS map according to the geographical location information. By adopting the distribution network communication optical cable fault location method and device, the ground position of the fault points of the distribution network communication optical cables can be visually and quickly located, thus the staff can be guided to fast carry out dispatching repair, maintenance cost of the distribution network communication optical cables can be effectively reduced, and satisfaction of ultimate users can be improved.

The invention provides a method for accessing and uploading data in a data storage system. The method of accessing data comprises the following steps: a client side initiates an access request message for access to a file; an authentication server determines the security level of the file according to feature information of the file in the access request message after receiving the access request message; if the security level of the file requires to carry out a smart key equipment certification process, the authentication server informs the client side of utilizing smart key equipment to carry out the smart key equipment certification process; after receiving information for the smart key equipment authentication, the client side carries out the smart key equipment authentication process; if the authentication server approves the smart key equipment authentication, the authentication server sends a notification message to a storage server; the storage server allows the client side to access to the file; the client side acquires the file, and decrypts the data of the file by utilizing a decryption key in the smart key equipment, so as to obtain the decrypted data.

The invention discloses a railway infrastructure detection system. The system involves a positioning synchronization subsystem, and a rail geometry detection subsystem, a rail contour detection subsystem, a rail state detection subsystem, a rail wheel force detection subsystem, a catenary geometric parameter detection subsystem, a pantograph-catenary current collection parameter detection subsystem which are in communication with the positioning synchronization subsystem. According to the system, on the basis of the structural characteristics and operation modes of urban rail transit infrastructure, the plurality of detection subsystems are integrated on a urban rail transit electric bus, rail geometric parameters, rail contour abrasion, rail state information, rail wheel interaction force, catenary geometric parameters and pantograph-catenary current collection parameters of the urban rail transit infrastructure are synchronously collected and accurately measured, the detection efficiency is improved, the urban rail transit operation maintenance cost is reduced, and the system can be widely applied to urban rail traffic construction and operation and maintenance.