170 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 relates to the technical field of large model agent application, and discloses a hierarchical management alarm analysis and prediction implementation method based on a large model agent, and the method comprises the steps: obtaining historical alarm logs and real-time operation parameters of a target system, and constructing a hierarchical management feature library; designing an alarm grading evaluation framework and determining a multi-source data acquisition scheme; collecting multi-dimensional alarm data, and carrying out alarm grade judgment and abnormal mode recognition through a large model agent; and transmitting an analysis and prediction result to a management decision module to optimize a grading strategy. According to the invention, through multi-modal data fusion, dynamic weight distribution and intelligent analysis, the problems of single data processing and rigid grade division in traditional alarm management are solved, accurate classification and prediction of alarms are realized, and the operation and maintenance efficiency and reliability of the system are improved.

The invention relates to the technical field of fire alarm systems, in particular to a distributed intelligent smoke monitoring and alarm management system, which comprises a data acquisition and trend analysis module for analyzing a smoke concentration change trend and generating a preliminary early warning signal based on real-time data acquired by a smoke sensor; the method specifically comprises the steps that the smoke concentration value Cs (t) of a smoke sensor in the time sequence is obtained, the average value Cmean and the standard deviation Std of the smoke concentration values in the current period are calculated, the upper limit threshold value and the lower limit threshold value of the smoke concentration are determined according to the formulas that Threshold High = Cmean + K1 * Std and Threshold Low = Cmean-K2 * Std, K1 and K2 are adjustment coefficients and are used for weighing sensitivity, when Cs (t) exceeds Threshold High or is lower than Threshold Low, preliminary early warning is triggered, and when Cs (t) is larger than Threshold Low, the smoke concentration is not subjected to early warning. The system analyzes the smoke concentration trend in real time, filters interference, links environment variables to adjust threshold values, performs multi-stage filtering, performs self-learning optimization, performs intelligent hierarchical scheduling, and efficiently prevents and controls fire disasters.

The invention relates to the technical field of submarine cable fault positioning, in particular to a submarine cable fault positioning system based on underwater beacons. The method comprises the steps that an underwater acoustic beacon array unit monitors and collects submarine cable fault sound wave signals in real time based on underwater acoustic beacons; the fault signal processing analysis unit extracts submarine cable fault sound wave signal parameters based on a non-point source space sound source waveform analysis model, and generates multi-parameter fault sound source feature vectors; the sound source positioning analysis algorithm unit performs three-dimensional inversion positioning based on the multi-parameter fault sound source feature vector and the arrival time difference of the submarine cable fault sound wave signal to the underwater acoustic beacon, and obtains the spatial position information of the submarine cable fault point; and the data communication alarm management unit sends the spatial position information of the submarine cable fault point to a shore-based operation and maintenance system. The submarine cable fault positioning method is used for realizing a submarine cable fault positioning technology for quickly and accurately positioning and identifying spatial extension characteristics in a complex submarine environment.

The invention discloses a unified management system and method for a virtual controller, and the system comprises a controller registration module which is used for initializing a controller registration array, checking whether the number of network IO registration reaches an upper limit or not, traversing the controller registration array, searching vacancies, and recording new instance information; the instance mapping module is used for mapping the successfully registered controller indexes into a controller information array and updating the registration number; the multi-thread security module is used for realizing concurrent security access in a registration process through a mutual exclusion lock; and the communication management module is used for creating a read management module, a write management module and an alarm management module, processing different types of data and carrying out heartbeat monitoring and data forwarding through a port. The technical problems that when a plurality of virtual controllers work cooperatively, control tasks of the virtual controllers are difficult to coordinate efficiently, so that the system performance is reduced, and even control conflicts or data loss may occur are solved.

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.

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 invention belongs to the field of intelligent monitoring systems, and particularly relates to a catering employee multi-mode behavior specification intelligent monitoring system based on deep learning, which comprises an active video inspection module, an image preprocessing module, an employee target element detection module, a multi-mode abnormal behavior analysis module and an abnormal information alarm management module. According to the invention, the video inspection management platform, the data processing platform, the target detection model and the modeled behavior analysis algorithm are fused, and the capability of detecting the abnormal behaviors of the store employees under the conditions of poor network environment, poor hardware facilities, poor monitoring environment and complex scenes is greatly improved. And intelligent identification of nonstandard abnormal behaviors of catering store employees in various scenes and different modes is realized with low computing power cost. And the operation efficiency and the management level of the store are further improved, a solid foundation is laid for intelligent transformation of the catering industry, and the method has relatively high technical replicability and generalization performance.

In some aspects, the techniques described herein relate to a method including: receiving, at an alarm management service, a plurality of alarms, wherein each of the plurality of alarms includes respective alarm data; clustering the plurality of alarms into an alarm cluster group; generating a plurality of binary time sequences, wherein each of the plurality of binary time sequences corresponds to one of the plurality of alarms; generating an initial alarm graph based on the alarm cluster group and the plurality of binary time sequences; providing, as input to a causal inference process, the initial alarm graph and the plurality of binary time sequences; and generating, by the causal inference process, a causal alarm graph, wherein the causal alarm graph is a partially connected and directed graph.

The invention provides a data monitoring method and platform, computing equipment and a computer readable storage medium. The method comprises the following steps: for a target application program accessed to the data monitoring platform, acquiring service data of the target application program by using a data acquisition service; wherein the service data comprises data of service indexes, data of service logs and link tracking data; based on a data monitoring demand corresponding to the target application program, processing the service data; displaying a processing result of the service data in a chart form by using a data display service; and when determining that the service data satisfies a target alarm condition based on the processing result, sending alarm information in an information notification mode corresponding to the target alarm condition by using an alarm management service. The method can improve the data monitoring effect.

The invention provides a lithium iron phosphate battery monitoring system, and relates to the technical field of lithium iron phosphate battery monitoring. Comprising a battery management system, a data acquisition and processing subsystem, a communication and remote control subsystem, a temperature monitoring and control subsystem, a voltage monitoring and protection subsystem, a current monitoring and protection subsystem, a power monitoring subsystem, a test and diagnosis subsystem, an alarm management subsystem, a visual interface subsystem and an enhancement subsystem, the enhancement subsystem comprises an SOC estimation subsystem, a health state evaluation subsystem, a temperature distribution monitoring subsystem, an external environment monitoring subsystem, an intelligent control and optimization subsystem and a predictive maintenance subsystem, and the SOC estimation subsystem is arranged, so that the residual capacity of a battery pack can be estimated in real time, accurate battery charge and discharge state information is provided, and the battery charge and discharge state of the battery pack is improved. A user is helped to reasonably use the battery pack capacity, overcharge or discharge is avoided, and the battery life is prolonged.

The invention discloses a dynamic alarm knowledge base creation method based on alarm management, which comprises the following steps: S1, carrying out alarm-to-knowledge point data conversion on the basis of experience of an engineer in processing alarm items to form an engineer knowledge base which is used for forming think tank management under unified management and control; s2, based on alarm data acquisition and processing of various heterogeneous monitoring systems, heterogeneous monitoring devices and heterogeneous monitoring servers, information corresponding to alarm data is created into an alarm fault knowledge base; and S3, the engineer knowledge base and the alarm fault knowledge base are subjected to association and information integration, so that a dynamic alarm knowledge base is formed, and the dynamic alarm knowledge base is used for providing guidance and support for fault processing. And an engineer is assisted to quickly position and solve one or more problems in various heterogeneous monitoring systems, heterogeneous monitoring equipment and heterogeneous monitoring servers. The invention also discloses a corresponding system, electronic equipment and a readable storage medium.

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 belongs to the field of electric power, and discloses an electric power dual-mode carrier communication network management method and a related device, and the method comprises the steps: issuing a communication channel management instruction and an alarm management instruction to a central coordinator of each electric power dual-mode carrier communication network, receiving and storing a carrier station communication channel quality index value fed back by the central coordinator based on the communication channel management instruction and communication module alarm information fed back by the central coordinator based on the alarm management instruction; receiving and storing the communication performance monitoring index value of the communication module of each power dual-mode carrier communication network, which is periodically fed back by the central coordinator of each power dual-mode carrier communication network; and obtaining network fault information and a network optimization strategy of each power dual-mode carrier communication network. The communication module of the power dual-mode carrier communication network is innovatively used as an independent network management unit for management, so that the service terminal and the communication module are separately managed and controlled, and the problem of fault misjudgment is effectively solved.

The invention discloses a network security operation and maintenance management system and method, and belongs to the field of network security operation and maintenance, and the system comprises a data collection module which is used for collecting equipment logs, analyzing flow data, and deploying a distributed performance probe to collect transaction response time and throughput indexes; the real-time processing module is used for executing streaming window association calculation through an Flink engine, matching an attack mode sequence in combination with a CEP rule engine, and storing performance baseline data; the AI analysis module is used for detecting abnormal behaviors, constructing an equipment access relation graph through GNN, fusing log text and traffic image features, and combining historical performance data to train a load prediction model; the alarm management module is used for generating hierarchical alarms according to knowledge graph reasoning and explaining alarm root causes through an SHAP algorithm; and the test management module is used for drawing a transaction response time distribution diagram and generating a pressure test report. According to the invention, the attack pattern recognition accuracy can be improved.

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 discloses a low-level alarm management method and device. The method comprises the following steps: receiving a low-level alarm, and respectively storing a first alarm caused by a network element fault, a second alarm caused by a user behavior and a third alarm caused by network management equipment upgrading into corresponding databases; detecting the alarm flow written into the first database in real time, and analyzing the alarm in the first database when the alarm flow meets a preset condition; periodically utilizing the time sequence prediction model to analyze the alarms in the second database, and analyzing the alarms in the second database when the predicted number of the second alarms is not matched with the actual number of the second alarms; analyzing alarms in a third database in response to the alarm analysis instruction; and corresponding early warning notifications are generated based on analysis results of different alarms. The technical problems that a related alarm management scheme focuses on responding to high-grade alarms, and the analysis and early warning capability on low-grade alarms is insufficient are solved.

A method comprises determining, by an alarm management system, that an alarm parameter exceeds a threshold value, transmitting, by the alarm management system, a throttle alarm to an incident reporting application in the communication network, in which the throttle alarm indicates that the second alarms describing the common incident will be throttled at the alarm management system for the throttle period, storing, by the throttle application, second alarms describing a common incident at a data store accessible by the alarm management system during a throttle period instead of forwarding the second alarms to a processing entity, transmitting, by the alarm management system, at pre-defined time intervals during the throttle period, an interval alarm report, and transmitting, by the incident management system to an incident reporting system, a throttled alarm report.

The invention discloses a fire alarm method combined with multi-camera cooperation, and relates to the technical field of fire alarm, and the method comprises the steps: obtaining a camera network of a target area, constructing a multi-Agent agent applied to fire alarm management, assembling the multi-Agent agent in each network node in the camera network in an embedded manner, determining an alarm condition based on fire characteristics, and carrying out the fire alarm management. A lightweight fire alarm module is constructed and is arranged in an alarm response Agent, a multi-Agent agent is assisted, a camera network is controlled to monitor a target area, a target point with fire characteristics is positioned, and fire tracking alarm management is executed, so that the technical problem of insufficient supervision decision ability and monitoring cooperation ability in the prior art is solved; the technical problem that the fire monitoring requirement in a complex environment cannot be met due to insufficient accuracy and timeliness of disaster alarm is solved, and the accuracy and response efficiency of fire monitoring are remarkably improved through cooperative monitoring and dynamic fire tracking.

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.

The invention discloses a high-voltage cable intermediate head temperature measurement system and a temperature measurement method, and belongs to the technical field of energy management. The system comprises a plurality of temperature acquisition wireless transmission terminals, an Internet of Things platform server and an application server. The temperature acquisition wireless transmission terminal is installed at the middle head position of each high-voltage cable. The temperature acquisition wireless transmission terminal comprises a temperature sensor unit, an NB-IoT communication unit, a power supply unit and a main control unit. The application server obtains the temperature data from the Internet of Things platform server through the interface, and the application server comprises a map display unit and an alarm management unit. The problems that long-distance temperature measurement cannot be achieved and temperature data of all point positions cannot be visually and comprehensively monitored in the prior art are solved. According to the invention, long-distance temperature signal wireless transmission can be realized, the map positioning of the equipment and the current temperature state and point position name of the equipment can be displayed on a map, and the device has the advantages of simple structure, practicability and intuition.

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 invention provides a gateway alarm management method and system in a distributed network environment, belonging to the field of alarm management technology, and specifically comprising: taking a gateway device whose number of false alarms does not meet the requirements as a target gateway device, determining the processing strategy when an alarm occurs in different target gateway devices according to the similarity of communication processing data of different target gateway devices when false alarm data exists and the number of target gateway devices, taking a gateway device that adopts a preset processing strategy as a screening gateway device, and when the number of screening gateway devices does not meet the requirements, determining the processing strategy when an alarm occurs in the screening gateway device in different time periods according to the matching of historical communication data of false alarm matching intervals of different screening gateway devices in different time periods, thereby improving the efficiency of troubleshooting and processing of alarm signals in simultaneous alarm time periods.

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.