104 results about "Alarm management" patented technology

The invention relates to the technical field of fault monitoring, in particular to a power transmission line fault monitoring and positioning method, system and device and a medium. The method comprises the following steps: firstly, performing digital conversion on an original current signal to obtain time sequence data, and then identifying and classifying fault events through threshold detection and a feature extraction algorithm to obtain classification labels of fault types; then, based on the classification label, establishing a traveling wave propagation model and carrying out time difference calculation, carrying out clustering analysis on a plurality of wave head data in a preset time window, and judging whether the fault is a single-point fault or a multi-point fault through a clustering result; and finally, a positioning result is transmitted to the central server for comprehensive verification and alarm management, and a final fault response is formed. By introducing a time series data analysis and clustering judgment mechanism, the fault type can be accurately identified, single-point and multi-point fault conditions can be effectively distinguished, and meanwhile, the reliability of a positioning result is improved through comprehensive verification of the central server.

The invention discloses a power distribution network switching station on-line comprehensive monitoring method based on the Internet of Things, and aims to solve the problems that a traditional switching station is poor in monitoring real-time performance, insufficient in fault early warning capability and the like. The method is realized based on an intelligent monitoring and coping system of an Internet of Things architecture, and through cooperation of multiple modules of equipment operation state monitoring, environment monitoring, security monitoring, intelligent linkage control, alarm management, historical data analysis and the like, an alarm linkage intelligent control closed-loop cooperation algorithm and a time sequence analysis algorithm are combined. And comprehensive perception and intelligent analysis of the operation state, environmental parameters and the like of the switching station equipment are realized. The system can monitor key parameters such as cable head temperature and partial discharge in real time, supports intelligent linkage processing of abnormal scenes such as harmful gas exceeding and water immersion, and predicts the equipment trend through historical data mining. The technology improves the equipment operation safety and operation and maintenance efficiency, reduces the line loss, enhances the power supply reliability, lays a foundation for constructing a novel power system, and promotes the digital transformation of a power distribution network.

The invention discloses a coal loading and unloading equipment operation detection system based on visual identification, and relates to the technical field of visual identification. The system comprises a hardware architecture and a software architecture, the hardware architecture comprises an image acquisition unit, a data processing unit and a control feedback unit; the software architecture comprises an image processing layer, an intelligent analysis layer and a decision application layer; the image processing layer comprises an image acquisition subsystem, a preprocessing algorithm library and a feature extraction module; the intelligent analysis layer comprises a target detection and identification module, a three-dimensional reconstruction module and an abnormal behavior identification module; and the decision application layer comprises a rule engine, an alarm management subsystem and a data visualization platform. By deploying sensor equipment such as a multi-angle industrial camera and a laser radar and combining a deep learning algorithm and a computer vision technology, various illegal operations and abnormal conditions in the loading and unloading process are automatically identified, total-factor digital monitoring of the loading and unloading process is realized, the detection efficiency is improved, and the loading and unloading risk is reduced.

The invention relates to an AI analysis alarm platform and method for video monitoring, and relates to the related technical field of video analysis alarm, and the platform comprises a priori threshold determination module which is used for constructing a negative space based on absolute normal data as a preposed priori threshold according to a region operation and maintenance rule for a target monitoring region; the abnormal alarm management module is used for accessing monitoring stream data, triggering a preposed prior threshold, executing data entropy change judgment by taking a negative space as a baseline, and performing abnormal alarm management; comprising a direct alarm response sub-module; a directional alarm response sub-module; wherein the preposed prior threshold and depth discriminator is an embedded plug-in of the AI analysis alarm platform. The technical problem that in the prior art, abnormal recognition model training depends on positive samples and annotation data and is difficult to adapt to dynamic complex scenes, so that video analysis alarm accuracy and timeliness are poor is solved, and the technical effect of improving video monitoring analysis alarm accuracy and timeliness is achieved.

The invention provides an electric power system monitoring data cloud unified access and resource intelligent prediction system and method based on cloud edge collaboration. The system is provided with a unified access module, an alarm rule configuration module, a real-time alarm module, a real-time monitoring display module and an intelligent trend prediction and health degree evaluation and maintenance module. According to the system and method, Java language development is adopted, the system and method serve as a central platform to receive and manage monitoring data from a plurality of lower-level power platforms in a unified mode, and standardized data unified access, real-time multi-dimensional monitoring, intelligent trend prediction, dynamic alarm management and system health degree evaluation and maintenance of a CPU, a memory, a hard disk, network resources and middleware services are achieved; the method is very suitable for a power system, can also be widely applied to other industries needing high reliability and real-time performance, and effectively solves the technical problems that monitoring data of multiple servers cannot be managed in a unified mode, the resource prediction precision is low, and system fault response lags behind.

The invention provides an intelligent fishpond oxygenation monitoring system based on the Internet of Things. The intelligent fishpond oxygenation monitoring system based on the Internet of Things comprises a power supply module, an on-site monitoring module, a cloud service module and a user terminal power supply module. According to the intelligent fishpond oxygenation monitoring system based on the Internet of Things, the abnormal response speed is increased, the breeding risk is reduced, the video analysis algorithm unit reduces the manual patrol cost and prevents the property safety risk in time, and the instruction forwarding unit guarantees information circulation of all modules of the system and supports remote control and alarm pushing; the data visualization interface of the user terminal reduces the data understanding threshold and improves the management efficiency, the alarm management unit shortens the abnormal response time and reduces the breeding and property loss, the equipment control unit gives consideration to the intellectualization and manual intervention requirements and improves the management flexibility, and the historical data query unit provides a data basis for breeding scheme optimization and risk pre-judgment. And fine breeding is assisted.

1. Name of the product in this design: Graphical User Interface for Installer Alarm Management of Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: Used for installer alarm management. In the main view of Design 1, clicking the alarm icon in the upper right corner of the interface displays Design 1's changing state diagram 1. Clicking "Grid Undervoltage" displays Design 1's changing state diagram 2. Clicking "0000001" displays Design 1's changing state diagram 3. Clicking "Historical Alerts" displays Design 1's changing state diagram 4. In the main view of Design 2, clicking the alarm icon in the upper right corner of the interface displays Design 2's changing state diagram 1. Clicking "Grid Power Outage" displays Design 2's changing state diagram 2. Clicking "0000002" displays Design 2's changing state diagram 3. Clicking "Historical Alerts" displays Design 2's changing state diagram 4.

The invention discloses a steam turbine generator unit operation platform maintenance operation safety management and control system which comprises a maintenance management system, an intelligent equipment management system and a maintenance area management and control system. The maintenance management system automatically generates a maintenance operation task presented in a maintenance project management mode; the intelligent equipment management system is used for performing centralized management on various types of intelligent equipment; the maintenance area management and control system comprises a basic information management module, a personnel management module, an equipment management module, a project management module, a unified alarm management module, an access management module, a video and AI module and a query and statistics module. According to the invention, a user can be helped to comprehensively monitor the maintenance operation process of the operation platform of the steam turbine generator unit of the power plant in real time, active safety management and control are carried out on key operation areas, on-site safety management and control, afterwards tracing, analysis and evaluation, and mobile terminal checking and control are realized, and production safety management and control are promoted to develop towards informatization and intelligentization directions.

1. Name of the product in this design: Graphical User Interface for Power Station Anomaly Alarm Management of Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the graphical user interface content in the electronic device. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: This graphical user interface is used to monitor the operating status of the power station and the surrounding environment in real time, assisting users in managing and maintaining the power station. 6. Human-computer interaction method of graphical user interface: The main view is the real-time monitoring interface of the power station. The satellite image area of ​​the monitored power station and its surrounding environment in the middle of the interface will play alarm reminder cards in a loop according to the latitude and longitude of the power station equipment. The interface switches from the main view to the interface change state diagram 1. When a user clicks on the alarm notification card in the interface change state diagram 1, the interface switches to the interface change state diagram 2. At this time, the interface displays an alarm introduction card. When the user clicks on the "Details" option button in the upper right corner of the alarm introduction card, the interface switches to the interface change state diagram 3. The area covered by the gray blocks in the interface represents the content screen, and the "XX" in the interface represents the text content. The satellite image area in each interface will change according to the changes in the monitored power station.

The invention provides a terahertz communication platform OMC system PNP plug-in and a dynamic loading method. The method comprises the steps that a PNP plug-in frame of an equipment adaptation layer is constructed in an OMC system, and a tool type is initialized; after original binary data reported by equipment is packaged into a JSparam object, a system dynamically loads a corresponding PNP plug-in according to the type of the equipment to carry out data analysis, converts a physical quantity value into a standard JSON format and returns the standard JSON format to an OMC system; the system carries out storage updating, state display and alarm management on the standardized data; when the OMC issues a control command, the command is converted into a device specific protocol format through a conversion function of the PNP plug-in and then issued to a target device, and transparent management and hot plug type expansion of a device protocol are achieved.

A device for monitoring a patient determines a set of predicted physiological variables using a model trained from physiological variables collected from the patient. The device receives a set of measured physiological variables and a motion measurement. The device compares the set of measured physiological variables to the set of predicted physiological variables to determine a residual vector. The device classifies the residual vector using a vector motion error based on the motion measurement, and performs an action based on the classification of the residual vector.

The application discloses a kind of ship painting workshop field environment monitoring systems, including field detection unit, control center and data acquisition network, field detection unit is installed in the integrated monitoring point of ship painting workshop field, for measuring the environmental parameter of integrated monitoring point;Control center is connected with field detection unit by data acquisition network, receives the data collected by field detection unit;The control center at least includes real-time database and and software management system, and software management system includes eight functional modules of system management module, real-time display module, prediction analysis module, alarm management module, interface module, report management, basic data management and green evaluation system etc..The application precisely monitors and traces the environmental quality of painting workshop, realizes targeted management;It can also carry out multi-dimensional analysis on monitoring data, provide decision support for environmental pollution prevention and control, and enhance the rapid response and disposal capacity of environmental emergencies.

The present disclosure relates to a method and a system for alarm management in a wireless communication network The method comprises determining, by a processing unit [302], a channel connectivity failure between a standby network function (SNF) and the ANF. The method comprises generating, by an alarm generating unit [304], an alarm for the determined channel connectivity failure. The method comprises re-establishing, by an establishing unit [306], a channel connectivity between the SNF and the ANF. The method comprises initiating, by the processing unit [302], a timer for a pre-defined time period based on the re-establishing of the channel connectivity. The method comprises clearing, by the alarm clearing unit [308] at the ANF, the generated alarm upon expiry of the pre-defined time period.

The invention discloses an Internet of Things new energy vehicle parking space linkage fireproof alarm method and system, and relates to the technical field of Internet of Things, and the method comprises a binding step: responding to a binding request of a user mobile terminal, and setting a parking space fireproof device, a cloud service platform, a mobile control terminal and a property management system, a perfect fireproof alarm system is constructed, rapid triggering and multi-terminal synchronous notification of fire alarm are realized in combination with the binding relationship and alarm logic processing of a cloud service platform, and meanwhile, through automatic work order distribution and remote early warning of a property management system, whole-process closed-loop management from monitoring to processing is formed, and the management efficiency is improved. The system improves the fire response speed and processing efficiency, effectively solves the specific potential safety hazard of the parking space of the new energy vehicle, manages, visualizes and stores the fireproof alarm data and the corresponding analysis result, facilitates the realization of fireproof alarm management through Internet cloud management and control, and improves the intelligent level of fireproof alarm management.

An electronic device, a method and a computer program product for managing alarms. The method includes detecting, via a processor of an electronic device configured with alarm functionality, activation of a first alarm. The first alarm set to trigger at a first time. The method includes monitoring for receipt of incoming communications that are not attended to by a user of the electronic device and identifying that an incoming communication contains information that warrants performing an alarm modification corresponding to the first alarm. In response to identifying that the incoming communication contains the information that warrants performing an alarm modification, the method includes determining a time adjustment period based on the at least one information message. The method includes adjusting the first time, by the time adjustment period, to generate a second time and updating the first alarm to be triggered at the second time.

The present invention facilitates identification of the cause of an alarm and specification of a method for addressing the alarm. This automated analysis system comprises an inspection processing unit that executes at least one process for the purpose of inspection, and a management device that manages the inspection processing unit. The management device is provided with: an alarm detection unit that detects that an alarm indicating the occurrence of an abnormality in the inspection processing unit is being emitted; an alarm notification unit that, in accordance with the result of detection by the alarm detection unit, issues a notification to indicate that the alarm is being emitted; and a related alarm determination unit that determines, from among related alarms that are other alarms having a prescribed degree of relatedness to the alarm being emitted, a related alarm that is in an unaddressed state.

A physiological information application platform includes a physiological information application device. The physiological information application device provides data exchange and utilization between a client application and a server application. Before exchanging data between the client application and the server application, it is required to confirm that the applications are authenticated as trusted applications, and an authentication is performed by obtaining an authorized encryption file through an authorization mechanism. Therefore, the physiological information application device provides a data topology application and an alarm management mechanism within an alarm system. Furthermore, the physiological information application device can operate without transferring the data to an external system, thereby reducing a risk of data loss and theft and improving data security.

The invention provides an industrial internet platform system and a use method, and belongs to the technical field of industrial internet of things, and the system comprises a collection task configuration and equipment access module which configures and executes a data collection task, and collects equipment energy consumption and operation state data through a multi-protocol adapter; the energy consumption data analysis module is used for storing the equipment energy consumption data into a database according to a time sequence, carrying out aggregation calculation and then displaying the equipment energy consumption data to a front-end interface; the equipment management module is used for identifying an equipment state, synchronizing the equipment state to a front-end interface and managing equipment firmware upgrading; the alarm management module is used for configuring an alarm rule and generating an alarm event and giving an alarm when a trigger condition in the alarm rule is met; and the operation and maintenance service module is used for carrying out fault root cause analysis in combination with a preset association relationship between equipment when the alarm event starts operation and maintenance linkage, and generating and issuing an operation and maintenance work order. Through multi-protocol access, mass equipment management and intelligent operation and maintenance are realized, energy consumption monitoring is optimized, and management efficiency is improved.

The invention relates to the technical field of process alarm processing, in particular to an alarm management and operation method and device based on a process mechanism, a medium and a product. The method comprises the following steps: periodically generating alarm information, sending the alarm information and a processing strategy to a processor, and ending periodic alarm until an alarm confirmation moment uploaded by the processor is received; monitoring an alarm processing result uploaded by the processing personnel for the abnormal process data; if the alarm processing result is that the alarm is solved, summarizing an alarm generation moment and an alarm recovery moment which are the same in alarm source name and alarm type and closest to the alarm confirmation moment into one piece of alarm process data, and storing the alarm process data in an alarm database; and if the alarm processing result is that the alarm is not solved, restarting the alarm processing flow until the newly generated alarm processing result is that the alarm is solved. The method can ensure that alarm information is not missed, processing is not delayed, and closed-loop tracking of processing results and process data storage are guaranteed.

The application discloses an intelligent network security situation monitoring and early warning platform of an industrial control system, which comprises a device layer, a data acquisition layer, a data storage layer, an application service layer and a display layer; wherein the device layer comprises an industrial control host module, a network device module, a security device module and a third-party system; the data acquisition layer comprises an agent, a flow probe and a log collector; the data storage layer comprises a Redis cache, a MySQL database, an ELK real-time data analysis system and a Hadoop big data processing ecological module; distributed storage is adopted; the application service layer comprises an asset management module, a vulnerability management module, a threat analysis module, a workbench, a knowledge base, a data source management module, an alarm management module, a report management module, a device management module and a system management module; and the display layer comprises operation and maintenance monitoring, asset statistics, risk display and an industrial network topology, and is used for abstracting data and graphically displaying and providing visual display for final security operation.

The invention relates to the technical field of heat exchanger data monitoring, in particular to a heat transfer monitoring and adjusting system and method for monitoring the state of a double-pipe heat exchanger. Comprising a sensing detection module, a data acquisition and preprocessing module, a performance calculation and feature extraction module, an intelligent decision and state evaluation module, a flow control and execution module, a man-machine interaction and alarm management module and a system integration and data bus module. According to the method, the flow redistribution strategy based on the performance coefficient is constructed, the flow is automatically cut off and the alarm is triggered when the performance degradation unit is detected, and meanwhile, the total flow is redistributed according to the performance coefficient proportion of the remaining online units, so that the high-performance heat exchanger obtains more flow resources; therefore, the overall heat transfer efficiency of the system can still be maintained under the condition of local faults, and intelligent optimization of flow and self-recovery of the system under the faults are achieved.

The invention relates to a medical alarm management method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining patient physiological data, medical equipment state data, clinical workflow information and patient basic information in real time, and generating a multi-dimensional data sequence on a unified time axis; inputting the multi-dimensional data sequence into an adaptive decision engine, dynamically adjusting an alarm triggering condition according to clinical workflow information, and generating an original alarm event when the triggering condition is met; carrying out root analysis on the plurality of original alarm events in a preset time, defining root events of the plurality of original alarm events, marking other original alarm events as derivative alarms, and packaging to form a nested alarm object; and correspondingly sorting the nested alarms according to the clinical emergency degree and the event sequence. According to the medical alarm management method and device, the computer equipment and the storage medium, the problems of alarm fatigue, information overload, unclear source, difficulty in tracing and the like in a traditional system can be fundamentally solved.

Systems, methods and apparatus for automatic alarm management in a radio-frequency (RF) environment are disclosed. An apparatus calculates a power distribution by frequency of the RF environment in real time or near real time, including a first derivative and a second derivative of FFT data of the RF environment. The apparatus then creates a baseline based on the power distribution by frequency of the RF environment in a period of time, identifies at least one alarm situation based on a multiplicity of alarm triggering conditions by comparing the power distribution in real time or near real time to the baseline of the RF environment, identifies at least one signal based on the first derivative and the second derivative of FFT data in the at least one alarm situation, and sends at least one alarm comprising details of the at least one signal identified in the at least one alarm situation.

The application provides an alarm management method, a monitoring device, a monitoring system and a readable storage medium. The alarm management method comprises the following steps: receiving a first adjustment instruction for a first type of alarm limit, and obtaining an expected adjustment value of the first type of alarm limit according to the first adjustment instruction; when it is determined that the expected adjustment value of the first type of alarm limit meets a preset first boundary condition, controlling to output a first prompt information; receiving a second adjustment instruction for at least one second type of alarm limit, and obtaining an expected adjustment value of the at least one second type of alarm limit according to the second adjustment instruction; when it is determined that the expected adjustment value of the at least one second type of alarm limit does not meet a preset second boundary condition, setting the expected adjustment value of the at least one second type of alarm limit as at least one second type of target alarm limit; and setting a first type of target alarm limit according to the expected adjustment value of the first type of alarm limit, so that the first type of alarm limit can be set efficiently and easily, and the distress of medical staff and alarm fatigue can be eliminated.

The present application relates to magnesium metal precision manufacturing workshop production management technical field, especially in kind of based on MES's magnesium die casting identification traceability tracking system and method, including real-time monitoring module, report management module, log management module, alarm management module, equipment management module, system management module and interface management module;Real-time monitoring module main function is to the identification traceability tracking system hardware equipment real-time monitoring, such as inkjet printer, two-dimensional code / bar code identification device, sensor, RFID data acquisition device and engraver etc., dynamically presents the whole production tracking process of magnesium die casting, and magnesium die casting product information etc. are embodied together.The present application realizes the interconnection between automatic inkjet equipment, automatic code scanning identification equipment, RFID data acquisition equipment and automatic engraving equipment, collaborates and schedules the field die casting inkjet, code scanning identification and tracking, realizes the whole magnesium precision machining workshop workshop efficient operation, stable operation, improves the magnesium metal loading and discharging efficiency.

This invention discloses an intelligent early warning system and method for fire-fighting fans, comprising: an intelligent monitoring and control terminal for overall control of equipment operation; an Internet of Things (IoT) module, including a remote equipment control module, a fire control center linkage module, and a fire damper actuator; a data acquisition module for collecting real-time data, including a metering data acquisition module, a measurement data acquisition module, and an equipment operation status acquisition module; a data processing and calculation module for calculating and judging the authenticity of multiple data sets; a data storage module for cyclically storing the data processed by the data processing and calculation module; and a post-processing module for post-processing the data output from the data storage module and feeding it back to the intelligent monitoring and control terminal, including an energy consumption analysis module and an alarm management module.

The invention discloses a multi-cluster monitoring data acquisition and processing method and a multi-cluster monitoring data acquisition and processing system, and aims to solve the problems of complex deployment and large resource overhead of a traditional architecture in a multi-cluster environment, and realize centralized management of monitoring data of each sub-cluster by deploying a VictoriaMetric instance in a master control cluster. The vmagent modules are deployed in the sub-clusters, node and container index data are actively pulled from various Exporters and pushed to the master control cluster in a remote write-in mode, and the problem that each sub-cluster needs to independently deploy a complete monitoring system is avoided. Uniform query and alarm management of a heterogeneous cluster environment are supported through mechanisms such as label isolation and index standardization, and the method has the characteristics of light deployment, flexible expansion, low cost and the like, is suitable for multiple multi-cluster scenes such as cloud native and edge computing, and remarkably improves the capability of a monitoring system in the aspects of resource use efficiency and cross-cluster observability.

An alarm rationalization system receiving and responsive to industrial process information collected from a process control system for identifying one or more alarms and executing an artificial intelligence (AI) alarm engine. The AI alarm engine builds a process / domain model based on the received industrial process information and historized alarm information to evaluate the alarms in accordance with a predefined alarm philosophy. The AI alarm engine then generates a plurality of alarm definitions based on the model to optimize the alarms. The AI alarm engine automatically populates a Master Alarm Database (MADB) with the alarm definitions. The alarms are then rationalized based on the alarm definitions stored in the MADB.

The present application relates to a kind of wind farm equipment full life cycle health management system, including wind turbine monitoring module, for obtaining and display the operating parameter of each wind turbine, the parameter of wind turbine subsystem;Alarm management module, for obtaining and display alarm event;Equipment health early warning module, for calculating the health score value of each wind turbine and wind turbine subsystem;Ledger management module is equipped with the equipment tree structure constructed according to equipment location and system affiliation, adds system, subsystem, equipment, component by equipment tree structure.

The application discloses a kind of intelligentization integrated system of wisdom campus, including central processing module and respectively with the communication connection of central processing module, basic management module, alarm management module, subsystem report management module, operation and maintenance management module, patrol management module, maintenance management module and all subsystems matched with integrated system, central processing module obtains the relevant state of all subsystems matched with integrated system and transmits it to alarm management module, subsystem report management module, operation and maintenance management module and maintenance management module, and sends the control instruction generated by operation and maintenance management module and alarm management module to the subsystem corresponding to control instruction.The intelligentization integrated system of wisdom campus of the application integrates each subsystem in campus organically, can realize the unified management of subsystem, can greatly improve overall efficiency, each subsystem does not need to be equipped with control unit alone, can reduce cost and energy consumption.