11 results about "Alarm management" patented technology

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 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.

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.

A system for condition monitoring and predictive maintenance of in-motion components within an industrial system is disclosed. A centralized controller receives image data from vision sensors and operational data from telemetry sensors. An indexing module detects each component at a trigger location, assigns a sequential index during a full system revolution, and associates acquired data with corresponding subcomponents. A measurement module analyzes images to determine characteristics such as wear, deformation, or misalignment, while a predictive model evaluates the measurement data and historical maintenance information to estimate future wear and replacement intervals. An alarm manager compares the measurements to threshold values and generates multi-level condition alarms. The system produces a consolidated report identifying component-specific wear conditions, predicted maintenance timing, and recommended actions. This architecture enables proactive maintenance, reduces downtime, and improves operational reliability in large-scale automated systems by providing continuous or scheduled monitoring and automated assessment of subcomponent health.

Systems and methods to improve resource utilization in ambulatory patient monitoring are disclosed, including detecting a critical event using the physiologic information, transitioning the ambulatory medical device from a long-term ambulatory monitoring mode to a critical response mode, and controlling, in the critical response mode, transmission of an advertising packet and information about the detected critical event to a remote device in a continuous listening mode or transition of a communication circuit of the ambulatory medical device to a listening mode to receive an advertising packet of the remote device in a continuous advertising mode to transmit a connection response and information about the detected critical event to the remote device to improve resource utilization of the ambulatory patient monitoring.

This application relates to an alarm management method, apparatus, computer equipment, storage medium, and program product, belonging to the field of computer system monitoring technology. The method includes: acquiring pending alarms from different alarm sources and determining the service instance corresponding to each pending alarm; the service instance is used to maintain a currently active alarm set stored in each service instance; determining the activity status of the pending alarms corresponding to each service instance based on the currently active alarm set of each service instance; marking the pending alarms according to their activity status to obtain marked target alarms; updating each currently active alarm set according to the target alarms, and / or outputting alarms. This method can improve the management accuracy in scenarios with external alarm sources and large amounts of alarm data.

This invention discloses a big data-based network security threat assessment system, comprising: a multi-source data acquisition module, a big data processing platform module, an intelligent threat assessment engine module, and a service and response module. This invention relates to the field of network security technology. By integrating multi-dimensional data such as network traffic, terminal behavior, and asset status, it breaks down the data silos of traditional security devices, constructs a comprehensive security situation awareness view, significantly reduces detection blind spots, and adopts a batch-stream integrated architecture to collaboratively analyze real-time data and historical baselines. Combined with supervised and unsupervised machine learning models for fusion detection, it can effectively identify known attacks and unknown anomalies, reducing false alarms while improving the detection rate of advanced threats. It innovatively quantifies and integrates multiple factors such as threat signals, asset criticality, and vulnerability exploitability, outputting dynamic and interpretable risk scores, transforming security response from coarse alarm management to precise risk prioritization management.

The present invention relates to a process for setting a condition monitoring alarm for a turbine in a pumped storage power plant, comprising: an operating condition determination unit that collects an operating data set and determines an operating condition on the basis of operating parameters including power output and flow rate; a signal characteristic extraction unit that analyzes vibration data measured for each operating condition to identify order components and extract signal characteristics of each operating condition; a data distribution analysis unit that performs probabilistic analysis of a distribution of vibration values on the basis of the extracted signal characteristic data, and sets an appropriate alarm threshold for each operating condition through statistical evaluation; and an alarm management unit that monitors abnormal conditions of the equipment in real time on the basis of the set alarm thresholds and the operating condition data, wherein by analyzing vibration data for each operating condition and measurement location to monitor abnormal conditions of the equipment in real time, and by setting alarm thresholds optimized for each condition, precision and reliability of equipment condition monitoring are enhanced.

The application discloses an SPC quality monitoring method and system based on AI intelligent identification, relates to the technical field of industrial AI application, and comprises the following steps: reading real-time data flow in a production control process, performing double-end process control analysis according to an SPC module to obtain an SPC analysis result; an AI intelligent agent performs anti-convolution traceability deconstruction and interference simulation positioning on an abnormal state vector through data interaction with the SPC module, and determines production control data; and according to the SPC analysis result and the production control data, alarm management and production control driving in the production control process are performed. The application solves the technical problems of single analysis dimension, difficult abnormal root cause tracing and low control efficiency of traditional SPC quality monitoring in industrial production, achieves comprehensive real-time monitoring, early warning, accurate root cause positioning and efficient control of industrial production quality, and improves the technical effects of quality control accuracy and efficiency.

1. Name of the product in this design: Panoramic Graphical User Interface for a Converged Communication System for Display Screens. 2. Application of this design: The display screen of this design is used to display patterns when powered on. The graphical user interface is used in the coal mine industrial environment to provide dispatchers with information display and interactive interface functions such as personnel positioning, equipment monitoring, alarm management and voice dispatch. 3. The key design features of this product are: the overall layout of the graphical user interface displayed on the electronic screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Applications of the graphical user interface: It is used for information display and interaction in integrated communication systems. It is mainly applied to personnel positioning, equipment monitoring, alarm management and dispatching in coal mine scenarios. Users can monitor the status of underground personnel, equipment operation and area safety in real time, and can also conduct voice dispatching and emergency command. 6. The area of ​​the graphical user interface in the product: the graphical user interface on the screen. 7. Human-computer interaction method of graphical user interface: Clicking the "Data Detection", "Equipment Self-Diagnosis" and "Comprehensive Query" buttons in the upper part of the main view will take you to the corresponding detailed information interface; clicking the "Personnel", "Vehicles", "Equipment", "Area" and "Call" buttons in the left side of the main view will take you to the corresponding information list interface. 8. Other situations requiring explanation: Other explanation: Blurred areas in the view represent changeable content.