81results about How to "Improve exception handling efficiency" patented technology

The embodiment of the invention discloses a link tracking method and device, and the method is suitable for the application of a micro-service architecture, and can optimize the link exception processing efficiency. The method comprises the following steps of obtaining the global link information and a service identifier, and generating a mapping relation table between the service identifier and each piece of link information in the global link information; obtaining a link query request, obtaining the target link information according to the link query request, and displaying the target link information on a link tracking display page; and obtaining a log switching instruction for the target link information, obtaining a target service identifier corresponding to the target link information from the mapping relation table according to the log switching instruction, obtaining a target log file corresponding to the target service identifier, and switching and displaying the displayed target link information as a target log file. By adopting the embodiment of the invention, the error root of the link exception can be quickly positioned, so that the link exception processing efficiency is improved.

The embodiment of the invention discloses an abnormity operation processing method and system, an electronic device and a storage medium. The method comprises the steps of using a server to receive the abnormity information and judge an abnormity type corresponding to the abnormity information based on a preset abnormity error monitoring database, wherein the abnormity type comprises a front-end data abnormity type, a server-side data abnormity type and a hardware abnormity type; calling a corresponding function unit to capture the abnormity information and generate a corresponding capture result according to the abnormity type; and calling a corresponding abnormity processingunit to perform abnormity processing according to the capture result. According to the technical scheme provided bythe embodiment of the invention, the corresponding first abnormity processing unit is called to process the abnormity, and then the second abnormity processing unit processes the abnormity thrown outby the first abnormity processing unit. The abnormity is processed hierarchically, so that the abnormity processing logic is clear, the hierarchy is clear, and the abnormity processing efficiency canbe improved.

The invention discloses an exception handling method and device based on an edge network, which are used for solving the technical problems of high pressure of a central node and untimely exception handling caused by centralized exception handling of the central node in the prior art. The method comprises the steps that an edge node analyzes service data by using an exception analysis rule, and when it is determined that a first service in the edge node is exceptional, if an exception processing rule of the first service exists in the edge node, the first service is repaired by using the exception processing rule; and if the exception handling rule of the first service does not exist in the edge node, the exception handling rule is reported to the center node. Abnormity identification andabnormity repair of the service are placed on the edge node side instead of being reported to the center node in a unified mode, so that the working pressure of the center node can be effectively reduced, and the network overhead and time cost are saved; moreover, the edge node carries out self-closed-loop processing on the abnormality of the edge node, so that the abnormality can be found and processed in time, and the abnormality processing efficiency is improved.

The communication system program fault detecting process includes: creating formal version including variable information; separating the variable information from the formal version while downloading the formal version to foreground equipment and saving the variable information in the form of data file in memory, ensuring no variable information called into memory during running system loaded version; setting record system abnormality mode in the background; creating abnormality record file in the background during abnormal system; and analyzing the abnormality record file information to determine fault. The said method makes it possible to customize record file dynamically, to view all the key variable values causing the abnormality timely, and to determine fast the cause of abnormality. The present invention can save the processing time and raise abnormality processing efficiency.

The invention discloses a one-transformer-area-one-index line loss management method and system based on big data, a marketing line loss one-transformer-area-one-index module constructs a transformer-area line loss reasonable interval calculation model, realizes automatic calculation of a transformer-area line loss reasonable interval, pushes a calculation result to an acquisition operation and maintenance closed-loop management module, and carries out closed-loop management and control of abnormal transformer area line loss management. According to the method, a one-transformer-area one-index module is implemented, related external business system data is fused, a transformer-area line loss reasonable interval calculation model is established, transformer-area line loss reasonable interval basic data automatic integration and calculation are realized, a one-transformer-area one-index line loss management mode is comprehensively realized, and transformer-area line loss reduction is scientifically guided. Based on an acquisition operation and maintenance closed-loop management module, a transformer area line loss operation and maintenance process is improved, a transformer area line loss abnormity work order is automatically generated, a province, city and county three-level centralized monitoring mechanism is established, a line loss abnormity processing process closed loop of hierarchical distribution-feedback-archiving is realized, and marketing line loss abnormity processing efficiency is improved.

The invention relates to a model anomaly detection method and apparatus, a computer device and a storage medium. The method comprises the steps of obtaining a configuration file which is set for a to-be-detected model index and comprises anomaly detection associated parameters; calling a universal code corresponding to the to-be-tested model index, and extracting sample selection time corresponding to the current model from the anomaly detection associated parameters; obtaining sample data conforming to the sample selection time from a database through the universal code; determining a value of the to-be-tested model index through the universal code and the sample data; when it is determined that the to-be-tested model index of the current model is abnormal according to the value of the to-be-tested model index, triggering an alarm logic code to generate an exception reminding mail; and sending the exception reminding mail to a terminal. The model anomaly detection efficiency can be improved.

The invention discloses a blockchain node monitoring method, a blockchain node monitoring device, electronic equipment and a readable storage medium. The method comprises the steps of determining a hierarchical architecture of a blockchain node; wherein the hierarchical architecture is an architecture obtained by dividing hierarchies in the blockchain nodes in advance; acquiring monitoring data ofeach level in the blockchain node based on the level architecture; wherein the monitoring data is used for representing the performance and the use condition of each layer; and determining a monitoring result of the blockchain node according to the monitoring data. Known from above, according to the blockchain node monitoring method provided by the invention, hierarchical division is performed onthe blockchain nodes in advance; the monitoring data of each layer in the blockchain nodes is obtained based on the divided hierarchical architecture, and if the monitoring data is abnormal, the corresponding blockchain nodes and the abnormal layers in the blockchain nodes can be quickly determined according to the monitoring data, so that the abnormality can be timely positioned, subsequent abnormality processing is facilitated, and the abnormality processing efficiency is effectively improved.

The invention provides an alarm information processing method which comprises the following steps of: acquiring abnormal alarm information, and extracting alarm keywords in the abnormal alarm information; inputting the alarm keywords into a preset alarm processing strategy model to obtain an alarm processing strategy corresponding to the alarm keywords; executing the alarm processing strategy to process an anomaly corresponding to the alarm information; and receiving a voice instruction of a user when the anomaly is not eliminated, generating a corresponding processing strategy according to the voice instruction to process the anomaly, and correcting the alarm processing strategy model. The invention further provides an alarm information processing device, a computer device and a readablestorage medium. The alarm information processing method can automatically process the database anomaly alarm, reduce repeated operation and maintenance operations of database operation and maintenancepersonnel, and save labor cost; and on the other hand, voice processing anomaly correction is carried out on the alarm information which fails to be automatically processed, and anomaly processing efficiency is further improved.

The invention discloses a special opeartion site abnormity early warning analysis system and method based on the Internet of Things, and belongs to the technical field of special work site abnormity early warning, and the system comprises a monitoring data collection module, a monitoring data intelligent analysis module, an abnormal condition alarm information research and judgment module, a site abnormal condition disposal feedback module and a special work database. The monitoring data collection module is used for collecting abnormal condition monitoring data and sending the acquired field monitoring data to the monitoring data intelligent analysis module; the monitoring data intelligent analysis module carries out unified data processing on the collected field monitoring data and sends the processed data to the special operation database; and in combination with the content of the alarm information database, the abnormal condition alarm information research and judgment module associates risk identification, operation analysis, safety measures and on-site operation steps in the operation ticket according to different preset alarm types, alarm information templates and alarm level rules.

The invention discloses a vehicle abnormity handling method. The method includes the steps that a server receives abnormity information sent by a vehicle and matches the abnormity information with information stored in a preset database; when matched abnormity information exists, an abnormity solution corresponding to the abnormity information is acquired from the database, and the abnormity solution is sent to the vehicle so that the vehicle can carry out corresponding operation according to the abnormity solution. The invention further discloses the vehicle abnormity handling server. By means of the vehicle abnormity handling method and server, the abnormity handling efficiency is improved.

The invention provides a rolling mill inlet steel biting abnormity recognition method based on deep learning. The method comprises the steps that an abnormity recognition model is acquired according to a billet sample image of a rolling mill inlet; inputting the real-time billet image of the inlet of the rolling mill into the anomaly recognition model, obtaining the moving state of the billet at the inlet of the rolling mill, and obtaining anomaly information according to the moving state; the method can effectively avoid a series of problems of manual participation, accurately identify the abnormality and effectively guarantee the quality of the steel billet.

The invention discloses a line loss query method and system for a power distribution network. The system comprises a data acquisition module which is used for acquiring electric quantity data of eachzone area of the power distribution network; a construction module used for constructing a data analysis model, wherein the data analysis model is obtained by training a plurality of groups of data, and each group of data comprises an electric quantity transmission initial value and a final transformer area transmission value; the analysis module is used for analyzing the acquired electric quantity data of each transformer area according to the data analysis model so as to determine the line loss of each transformer area; and the determination module is used for determining whether the transformer area is abnormal or not according to the line loss of each transformer area. According to the method and the device, the technical problems of high line loss treatment difficulty and low efficiency due to the fact that on-site checking is needed when the line loss of the power grid is inquired in the prior art are solved.

The invention relates to an equipment exception processing method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining equipment monitoring information; extracting equipment alarm information from the equipment monitoring information; determining a working mode of the equipment, and determining a corresponding processing priority level accordingto the working mode; carrying out correlation analysis on the equipment alarm information according to the processing priority level to obtain a correlation analysis result; and generating an abnormalalarm message according to the correlation analysis result, sending the abnormal alarm message to a preset alarm processing node, and carrying out abnormal processing on the equipment by the alarm processing node according to the abnormal alarm message. By adopting the method, the equipment exception handling efficiency can be improved.

An embodiment of the invention discloses a service alarm method, a service alarm device, computer equipment and a storage medium. The service alarm method comprises the following steps of: when an alarm triggering event associated with a service is detected, acquiring alarm associated information matched with the alarm triggering event; generating alarm data matched with a target alarm type according to the target alarm type in the alarm associated information; and selecting and calling an alarm component matched with the target alarm type according to the alarm data, so that the alarm component pushes the alarm data to an alarm user associated with the alarm associated information. According to the service alarm method and the service alarm device of the invention, the service informationcan be pushed in time and the operation cost is reduced.

The invention provides a heating furnace inlet abnormity identification method based on deep learning. The method comprises the steps of acquiring a steel bar identification model according to a sample image of a steel bar at a heating furnace inlet; recognizing the real-time images of the inlet of the continuous multi-frame heating furnace through the steel bar recognition model, obtaining the position of a steel bar recognition frame in the continuous multi-frame images, obtaining the moving state of the steel bar before and after the steel bar enters the inlet of the heating furnace, and judging whether abnormal steel bar transportation occurs or not according to the moving state. According to the invention, a series of problems of manual participation can be effectively avoided, anomalies are accurately identified, and the steel bar quality is effectively guaranteed.

The application provides an anomaly processing method and apparatus of a ticket printing machine. The method includes: the operation condition of the ticket printing machine is monitored, and when the abnormal condition of the ticket printing machine is detected, abnormal condition information of the ticket printing machine is obtained, and an anomaly notification is sent to a server, wherein the anomaly notification carries the abnormal condition information of the ticket printing machine; and correspondingly, the server determines target personnel for processing the anomaly of the ticket printing machine in response to the anomaly notification and sends an anomaly alarm instruction to a terminal of the target personnel so that the target personnel processes the abnormal condition of the ticket printing machine according to the abnormal condition information. According to the scheme, the abnormal condition of the ticket printing machine can be discovered in time, the anomaly of the ticket printing machine can be processed in time, and the efficiency for anomaly processing of the ticket printing machine is improved.

The invention discloses an anomaly monitoring method. The anomaly monitoring method comprises the following steps that when it is monitored that a monitored object is subjected to anomaly, whether a treatment scheme corresponding to the anomaly exists or not is looked up; when the treatment scheme corresponding to the anomaly does not exist, a first prompt signal is generated and output; the treatment scheme obtained according to the first prompt signal is obtained; and the anomaly is treated according to the treatment scheme. The invention further discloses anomaly monitoring equipment and device, and a computer readable storage medium. According to the technical scheme, the anomaly is advantageously treated in time, and thus the operation and maintenance effects are improved.

The invention discloses a message queue exception handling method and device, computer equipment and a storage medium, and is applied to the field of data processing. The method provided by the invention comprises the following steps: receiving a delivery message of a message producer, the delivery message comprising message content, identification information of the message producer and a consumer queue name, if it is detected that any message consumer fails to consume the delivery message, obtaining the identification information of the message producer from the delivery message, and obtaining the maximum retry times from the annotation configuration of the message consumer, generating an exception handling queue through a section-oriented programming mechanism based on the identification information of the message producer, the name of the consumer queue, the maximum retry times and the message content, and carrying out exception handling on the delivered message by adopting the exception handling queue. According to the invention, the exception handling efficiency can be improved.

The invention discloses an anomaly processing method and device. The method comprises the steps that an anomaly code generated in a workflow is acquired, and processing logic corresponding to the anomaly code is read from a preset rule base, wherein the rule base comprises at least two kinds of processing logic corresponding to anomaly codes; the read processing logic is called to process an anomaly expressed by the anomaly code, and consequently the anomaly is processed automatically. The anomaly does not need to be solved manually, and therefore the purpose of improving anomaly processing efficiency is improved.

The invention provides a page synchronization method, device and equipment and a computer readable storage medium, and the method comprises the steps: building channel connection with a current terminal when receiving a synchronization request instruction sent by the current terminal, and determining a target agent end corresponding to the current terminal; and obtaining browsing page data of thecurrent terminal and a browsing sequence corresponding to the browsing page data, and sequentially sending the browsing page data to the target agent side according to the browsing sequence so as to synchronize the browsing page of the current terminal to the target agent side in real time. According to the browsing sequence of the user, the corresponding browsed page data is sent to the target seat end used by the corresponding customer service staff, and the browsed pages of the user are synchronized to the seat end in real time, so that the difficulty of processing abnormities by the customer service staff is reduced, the exception processing efficiency is improved, and the technical problem that the processing efficiency of existing customer service staff is low is solved.

The invention provides polarizer attachment equipment and system. The equipment comprises an attachment platform, an attachment head, a spacing sensing component and a displacement sensor, wherein theattachment platform is used for bearing a substrate; the attachment head is arranged just above the attachment platform, comprises a roller and is used for attaching polarizer onto the substrate; thespacing sensing component is arranged at a preset position of the attachment head and is used for moving relative to the substrate according to the attachment action of the roller; the displacement sensor is arranged on the attachment platform relative to the spacing sensing component and is used for sensing a displacement of the attachment head in a vertical direction and the position and the displacement of the spacing sensing component; and the spacing sensing component is positioned in a preset sensing range of the displacement sensor. The displacement sensor is used for sensing the attachment spacing by virtue of variation of the displacement of the spacing sensing component, so that the problems that the accuracy of the measured polarizer attachment spacing is low and the attachmentquality and capacity are low are solved.

The invention discloses a data sharing system for a smart city. The data sharing system comprises a portal layer of a client, a smart city cloud service center of a server, a support layer and a maintenance layer . A city information collection sub-module for city abnormal event information supervision comprises a supervisor patrol reporting unit, a video real-time supervision reporting unit and apublic user supervision reporting unit. The supervisor patrol reporting unit is used for receiving event information reported by city basic patrol personnel from the portal layer. The video real-timesupervision reporting unit is used for receiving event information reported by city monitoring shooting records. The public user supervision reporting unit is used for receiving time information of city basic public supervision and reporting from the portal layer. Abnormal event information comparison is carried out on three aspects of real-time monitoring, supervision departments and public users through a city information processing sub-module, so that false abnormal information is filtered out.

The invention discloses a remote diagnosis method based on voltage and current metering anomalies and relates to a metering anomaly remote diagnosis method. At present, for voltage and current metering anomaly handling, dispatching usually is directly initiated under the situation that anomaly reason analysis is not performed, and waste of resources is caused. The method comprises the steps of preliminary diagnosis and remote master station analysis, wherein during remote master station analysis, a master station archive and load data are viewed; according to generated abnormal equipment workorders, abnormal equipment data reported lately is analyzed; and when misreport, a sporadic error and an archive data error are determined, non-processing is allowed, the data waits to be archived instead, and other failure abnormal work orders try to be remotely processed. According to the technical scheme, preliminary diagnosis is performed firstly, then remote preprocessing is performed, the anomalies capable of being subjected to remote operation are directly handled, subsequent site dispatching is reduced, and manpower cost is lowered; and the diagnosis result is used for subsequent anomaly handling, the pertinence of anomaly handling is enhanced, the efficiency of handling site anomaly faults is improved, and waste of resources is lowered.

The embodiment of the invention discloses an exception handling method and device for a material pushing robot, a server and a storage medium. The method comprises the steps: when the exception information of a material pushing robot is received, transmitting the exception alarm information to a target user and obtaining real-time video data transmitted by the material pushing robot ; receiving a remote monitoring request sent by the target user based on the exception alarm information, and sending the real-time video data to a remote control terminal according to the remote monitoring request, so that the remote control terminal determines the current position and the reply position of the material pushing robot according to the real-time video data, and generates a remote moving instruction according to the current position and the reply position; and receiving a remote control instruction returned by the remote control terminal, and sending the remote moving instruction to the material pushing robot, so that the material pushing robot moves according to the remote moving instruction. According to the embodiment of the invention, remote control of the material pushing robot is realized, so that the labor cost of exception handling of the pushing robot is reduced, and the exception handling efficiency is improved.

The embodiment of the invention provides an abnormal data processing method and device and a computer readable storage medium. The method comprises the steps of obtaining at least one associated object of to-be-processed abnormal data; sending a chat room creation request to each associated object through a communication service object of an instant communication client; receiving establishment confirmation information sent by processing equipment corresponding to each associated object for the chat room establishment request, and obtaining at least one piece of establishment confirmation information corresponding to at least one associated object; creating an abnormal data chat room for at least one associated object based on at least one piece of creation confirmation information; and sending the to-be-processed abnormal data to each associated object through the abnormal data chat room, so that the processing equipment displays the sent to-be-processed abnormal data in a message record display frame corresponding to the abnormal data chat room through the instant messaging client, and the displayed to-be-processed abnormal data is used for triggering abnormal processing. Through the embodiment of the invention, the exception handling efficiency can be improved.

The embodiment of the invention discloses an abnormity processing method and device, a terminal and a storage medium, and the method comprises the steps: receiving a first exception message sent by atleast one business system, the first exception message being an exception message meeting a preset verification standard; recording the first abnormal message to an abnormal message table, setting the recorded processing state of the first abnormal message to be unrepaired, and updating the processing state according to the processing process of the first abnormal message; querying the exceptionmessage table in sequence, and taking the queried first exception message of which the first processing state is unrepaired as a second exception message to be processed at present; and broadcasting the second exception message, so that the service system corresponding to the second exception message performs exception processing according to the monitored second exception message. According to the method of the embodiment, the abnormity occurring in different service systems is sent to the exception handling system to be handled, the abnormity handling efficiency is improved, and different abnormities can be managed and repaired in a unified mode.

The invention relates to a dangerous goods logistics monitoring method, device and system, and belongs to the technical field of logistics, and the method comprises the steps: obtaining dangerous goods state parameters collected by a monitoring sensor, wherein the state parameters comprise the current temperature, the current humidity, the current vibration condition, the current position and thecurrent inclination; determining whether the logistics state of the dangerous goods is in an abnormal state based on the dangerous goods state parameters; when the logistics state of the dangerous goods is in an abnormal state, sending abnormal information to a plurality of monitoring terminals; receiving processing information sent by the carrier end; updating the logistics state of the dangerousgoods based on the processing information; the problem that the result monitored by the existing dangerous goods logistics monitoring method is not accurate enough and not timely enough can be solved. The abnormity can be comprehensively considered by combining various state parameters of the dangerous goods, so that the abnormity in the dangerous goods logistics process can be timely identifiedand decided, and the risk in the dangerous goods transportation logistics process is reduced or eliminated.

The invention provides an exception handling method and device. The exception handling method comprises the steps of capturing an exception object; when it is detected that the type of the abnormal object is a memory overflow abnormal object, transmitting the abnormal object to a local native layer; in the local native layer, obtaining calling information corresponding to the abnormal object, writing the calling information into a log file, wherein the calling information is used for representing the calling relation between a method for throwing out the abnormal object and other methods; andtransmitting the generated log file to a server.

The embodiment of the invention provides an abnormal information processing method and device and a storage medium. In some embodiments of the invention, the method comprises the steps of: enabling aserver to receive user operation data sent by a user terminal; performing parameter verification on the user operation data by using the created exception handling component to generate a parameter verification result; if the parameter verification result is that the verification is passed, continuing to monitor whether the system has an abnormal condition or not; and if the system has the abnormal condition, sending the corresponding abnormal prompt information to the service end corresponding to the abnormal type according to the abnormal type of the abnormal condition, so that the system abnormality processing efficiency is relatively high, and the user experience is relatively good.

The invention provides a self-adjusting method for an injection molding machine. The self-adjusting method comprises the steps that S1, information of an injection molding product is obtained, the information is submitted to an injection molding cloud management platform PROIMM, and the information of the injection molding product comprises the size, the weight and the buckling deformation amount; S2, the injection molding cloud management platform PROIMM monitors the injection molding product information in real time and judges whether the injection molding product information is abnormal or not, if yes, the instruction parameters and the injection molding product information are input into an injection molding cloud self-adjusting AI system, and the step S3 is carried out, and if not, normal process parameters and injection molding product information are input into a self-learning system in the injection molding cloud self-adjusting AI system; and S3, the injection molding cloud self-adjustment AI system analyzes the abnormal reason of the injection molding product information according to the instruction parameters and the injection molding product information, the optimal instruction parameters are output to an electronic operation guidance system ESOP system, and the electronic operation guidance system ESOP issues the optimal instruction parameters to the injection molding machine.