61 results about "Alert management" patented technology

The present disclosure provides an artificial intelligence-based alarm management based on structured time series data and unstructured contextual information where the conventional methods fails to do. Initially, the system receives a user query associated with an industry automation system and classifies into one of a) data request query b) an anomaly detection and diagnosis query c) a log request query and d) feedback for previous response using a query classifier. Simultaneously, the user query is converted into an associated timeseries query representation. Furthermore, a plurality of database queries is generated based on the timeseries query representation using query generator. Further, data pertaining to the user query is retrieved from an associated database based on database queries using Deep Learning models, thereby identifying a critical alarm, and to take appropriate actions if there is any anomaly. Finally, the retrieved data is displayed to the user in a user readable format.

An alert broadcast system can receive a first alert message indicating an emergency from an alert management system. The first alert message generated by an emergency alert originator can include a unique identifier associated with the emergency. The alert broadcast system can forward the first alert message to a first group of wireless devices and cause each of the first group of wireless devices to temporarily store the unique identifier. The alert broadcast system can receive a second alert message, including the unique identifier from the alert management system. The alert broadcast system can forward the second alert message to a second group of wireless devices. The respective wireless device can perform an action based on a determination that the respective wireless device has received the first alert message prior to receiving the second alert message and that the second alert message is partly duplicative of the first alert message.

Systems and methods for facilitating electronic safety alert communications by a safety alert management system are disclosed herein. A method includes receiving an electronic safety alert for a specific safety event from a user electronic device via a safety alert application, the safety alert including at least one user message from a user associated with the user device. The method includes initiating an electronic chat session between the user and the safety agent attending the safety management application and, for at least one user message received at the safety management application, determining a reply message to send to the user device in response to the at least one user message. In embodiments, a machine learning model is used to analyze the user message and determine one or more recommended reply messages to display to the agent. A method for training a safety chat language model in a safety alert management system is also disclosed.

An information handling system receives a notification regarding a state of the information handling system, and determines an alert management policy associated with the notification regarding the state of the information handling system. The system also applies an alert management action to enforce the alert management policy.

Systems and methods for alert management. A method includes analyzing alerts with respect to cybersecurity issues indicated in the alerts to identify at least one group of matching alerts. Each group of matching alerts includes alerts generated by multiple cybersecurity detection tools. A software component associations database is queried based on software components indicated in each of the groups of alerts. The software component associations database stores associations between configuration files of software containers and build files used to build the software containers. At least one group of duplicate alerts is identified among the groups of matching alerts based on associations returned by the software component associations database. The software component indicated by a first alert of each group of duplicate alerts is associated with the software component indicated by a second alert of the group of duplicate alerts. The alerts are managed based on the groups of duplicate alerts.

There are provided systems and methods for automated alert deduplication or suppression in data processing systems based on recurring data identifiers. An entity, such as company or business, may utilize computing services provided by a service provider. When providing these services, one or more computing services, processors, or the like of the service provider's computing architecture may be used. Use of computing services may generate security alerts when computing events are flagged as risky, fraudulent, malicious, computing attacks, or the like. To automate security alert management, the service provider may utilize an alert management system that may parse and extract data from incoming security alerts and calculate identifiers from such data, such as by transforming or converting using identifier functions. Recurring identifiers may be automatically organized for suppression or deduplication based on past occurrence of such identifiers with other security alerts.

The invention discloses a system safety control system based on the Internet of Things technology, and relates to the technical field of safety control, and the system comprises a PLC control module, a sensing collection module, a cloud server and a safety monitoring module. And the sensing acquisition module monitors data in real time and transmits the data to the cloud server for storage and analysis, so that algorithm application security, network communication security and data storage security are evaluated, the security of the Internet of Things system is comprehensively evaluated, the integrity of system security monitoring and the comprehensiveness of Internet of Things data processing are ensured, and the security of the Internet of Things system is ensured. Network attacks aiming at the industrial control system are effectively defended through hierarchical design and model fusion, and industrial production continuity and data security are ensured; and deep analysis is carried out through the safety monitoring module to realize alarm management, so that the response efficiency of safety risks is improved, the abnormity repair timeliness and the continuous stability of the system are ensured, and the intelligent application level of the Internet of Things system is improved.

Various embodiments disclosed herein are directed to a system, method, apparatus, and / or a computer program product that are configured to embody an alert management system that is adapted to efficiently analyze and cluster different types of alerts (e.g., heterogenous alerts) including system generated alerts and user generated alerts. In one example, system generated alerts are analyzed using one or more tag based clustering algorithms while user generated alerts are analyzed using one or more machine learning clustering models. In another example, the alert management system may be configured to improve alert clustering efficiency by using tag based clustering algorithms on alerts that satisfy a tag presence threshold while machine-learning based clustering models are used on alerts that do not satisfy the tag presence threshold. In various embodiments, confidence metrics are calculated and used to reduce the number of false positive alert clusters and to improve alert cluster quality.

The present invention presents a method of assessing the quality of the burning of the gases in the flare and adjusting the vapor flow rate in a continuous way and with flexibility to integrate with different instrumentation topologies of the flare control system. The state of the flare flame is identified from an image set of the flame, classifying it into one of four: flame with excess vapor, optimized flame, flame with soot or images with insufficient information to classify them as one of the previous states of the flare flame. In addition, it is further able to quantify the height of the flame. The invention comprises the following components: flare, camera, image stream manager, edge computer, data historian, alert manager, information visualization panels, distributed digital control system, DDCS, and cloud storage and computing.

An alert management system and technique is provided. Substantially any diagnostic trouble code generates an alert regardless of severity. The operator is given an option to dismiss or suppress re-alert for a class of diagnostic trouble codes, such as low severity codes. Future notification of such codes can be disabled in response to a selection of the option provided. Device links for diagnostic trouble codes may be established in diagnostic definitions. The device links trigger inclusion of navigation links in displayed alerts to improve retrieval of related diagnostic information from secondary or dependent devices.

A system comprises a web-cloud security subsystem that hosts, manages, and analyzes data related to a plurality of hosted applications that provide at least one of physical access control, surveillance, alarm management, visitor management, and elevator management; at least one physical security subsystem that exchanges data with a corresponding hosted application of the web-cloud security subsystem; and a real-time control and monitoring device that provides secure access of the web-cloud security subsystem.

The alarm management device (10) stores each attribute of messages indicating the same or similar content and an internal attribute indicating the same or similar content in an associated manner for each type of alarm device (20) that outputs the messages, and upon receiving a message from the alarm device (20), transmits the message to the alarm device (20). An internal attribute associated with an attribute included in the received message is acquired from the storage unit, an internal message in which the attribute of the message is converted into the internal attribute is generated, and the internal message is output.

1. The name of the design product: network threat visualization analysis graphical user interface for electronic device. 2. The use of the design product: for electronic device running program, and the electronic device can be a display screen panel. 3. The design points of the design product: in the graphical user interface content. 4. The picture or photo that best indicates the design points: front view. 5. The display screen panel is an existing design, and the rear view, left view, right view, top view and bottom view are omitted. 6. The use of the graphical user interface: for visualizing and displaying the network threats obtained through real-time monitoring. 7. The human-computer interaction mode of the graphical user interface: click the "alarm management" option in the front view, and the interface jumps to the interface change state diagram; the front view reference diagram is the reference interface of the front view, and the interface change state reference diagram is the reference interface of the interface change state diagram; "X" in the above interface represents the text content that can be changed according to actual needs.

Embodiments receive a data metrics input which corresponds with a microservice issue, determine a final outcome by multiplying each metric of the data metrics input by a weight, determine a link output based on the final outcome, determine a cost function based on the link output, evaluate that a cost output of the cost function has a minimized error, output a data metrics output based on the cost output of the cost function having the minimized error, train at least one machine learning (ML) model using the data metrics output, receive a new data metrics input which corresponds with another microservice issue, and provide a recommendation corresponding to the new data metrics input using the trained at least one ML model.

Techniques for optimizing driving alerts provided by a computing device are presented herein. In some techniques, a driving alert management server system transmits an initial set of alert rules to a driver safety application executing on a computing device and receives an alert history from the application including alerts provided to a user in response to detecting occurrences of one or more types of driving events according to the initial set of alert rules. A likelihood that the user will disable future alerts is generated by executing a user-churn machine learning model on the alert history and compared to predefined churn threshold criteria. Based on the comparison, the initial alert rules are modified to generate a new set of alert rules that optimize the likelihood, and the new set of alert rules are transmitted to the application.

The invention discloses a chemical laboratory safety experiment management system based on big data analysis. The system comprises a data analysis platform, a data monitoring and acquisition module, an experiment safety management module, an alarm prompt module, a control module and a data storage module. The data analysis platform is responsible for cleaning, converting and filing original data; the data monitoring and acquisition module realizes data interaction through a built-in API data interface, and realizes real-time data monitoring through carrying a wireless network; the experiment safety management module is responsible for managing and controlling equipment, chemical experiment products and experimenters in the chemical laboratory; the alarm prompting module supports a multi-level alarm management mechanism; the control module is used for controlling and managing equipment in the laboratory in real time according to the alarm information sent by the alarm prompt module; and the data storage module is responsible for recording operation data among the modules. According to the method, lean management of the experiment safety of the chemical laboratory can be realized, and the safety of the experiment process is ensured.

Various embodiments disclosed herein are directed to a system, method, apparatus, and / or a computer program product that are configured to programmatically analyze alert clusters and make recommendations to alert managers as to alert policy changes that might reduce alert volume without hindering the intended performance of the alert management system. For example, various embodiments are configured to programmatically determine if a threshold number of alerts within an alert cluster are insignificant and output an alert policy change recommendation interface that is configured to allow alert mangers to execute adjustments to underlying alert policies. In some embodiments, alert policy changes are recommended only when a threshold number of alerts within an alert cluster are insignificant and such threshold number of alerts are determined to be increasing within the monitored software application framework.

Electronic installation and decision support method with enhanced energy alert management, aircraft and associated computer program This electronic installation (15) for decision support of an aircraft operator (10) includes a display system (18) and a flight management system (20).The flight management system (20) includes: + a low-power alert module (30) that activates if the remaining power is estimated to be insufficient for a current flight plan; the alert module (30) inhibits the alert for a time delay from the moment the remaining power is estimated to be insufficient, with the alert being issued only when the time delay has elapsed; + a display module (32) for displaying information about the alert on the display system (18); + a module (34) for calculating the aircraft's (10) range; + a module (36) for detecting if the aircraft (10) is climbing; and + a modification module (38) that increases the time delay if the calculated range exceeds a threshold and the aircraft (10) is climbing. (See Figure 1 for abbreviations.)

A vehicle alert management system that manages alert lights and tones in accordance with vehicle speed and other inputs is described. The vehicle alert management system is configured so that in use the alert management system attenuates an alert lamp or click or tone after a selected time interval if the system detects that vehicle speed is below a selected speed or within a selected threshold, or if the system detects no change outside a threshold speed range, or other suitable speed algorithm. The system in embodiments is configured to attenuate the in-vehicle cabin sound associated with a direction indicator on a vehicle so that it is inhibited after a selected time period, and allowed to play in the cabin after the vehicle speed moves out of a selected threshold range.

A real-time network monitoring and anomaly detection system comprising a) a data collection module configured to collect network traffic data from one or more network nodes; b) a data processing module configured to normalise and extract features from the collected data; c) an anomaly detection module that uses statistical methods and / or machine learning models to detect anomalous network behavior; (d) a real-time visual dashboard configured to display network activity and detected anomalies through interactive graphical elements; and (e) an alert management module configured to generate notifications based on anomaly detection results, f) wherein the system is further configured to adaptively improve the recognition accuracy based on user feedback and system learning.

Embodiments of the invention relate generally to the field of content distribution platforms, and more particularly, to systems, methods, and apparatuses for implementing a consumer data aggregation platform for seamless product recall and consumer alert management. For example, according to one embodiment there is a method performed by a consumer data aggregation platform having at least a processor and a memory therein being configurable to perform operations including: receiving product-related data at a database system communicably interfaced with a consumer data aggregation platform; receiving sales data at the database system identifying a consumer via a unique UserID identifying the consumer and a list of associated products purchased by the consumer; storing the product-related data and the sales data as distinct datasets in separate tables within a database system of the consumer aggregation platform; receiving a recall notification request to issue a product recall for a specified consumer product represented within the datasets of the consumer data aggregation platform; querying the datasets of the consumer data aggregation platform to identify records for each one of: (i) the specified consumer products, and (ii) consumers associated with transactions based on the specified consumer aggregation platform; extracting records for the specified consumer products and contact information for consumers associated with transactions based on the specified consumer product across the distinct datasets of the consumer data aggregation platform; joining the extracted records for the specified consumer product and contact information for consumers associated with transactions based on the specified consumer product into a single data set; and issuing the product recall by sending a push notification to consumers associated with transactions based on the specified consumer product.

Systems and computer-implemented methods for generating, propagating and handling alert messages on a blockchain network. The alert messages may be generated and sent by an alert administration service to instruct mining nodes to take certain actions, including freezing a transaction outpoint, banning a peer node, invalidating a block, or implementing a confiscation transaction to move assets from a transaction outpoint to another address. An alert handler within the node software at the mining nodes manages the parsing and processing of alerts. Alerts may be sent in P2P message that includes a serialized alert transaction that itself includes the alert message in an output field. A processed alert message results in the alert transaction being included in the mempool and, eventually, the blockchain.

According to an example aspect of the present invention, there is provided storing plural small language models, SLM agent, each SLM agent being configured to provide responses to alerts of a specific type which originate in a system, processing an alert from the system by selecting an SLM agent and providing the alert to the selected SLM agent to obtain from the selected SLM agent a response to the alert, and re-configuring the system with the response.

Various embodiments disclosed herein are directed to a system, method, apparatus, and / or a computer program product that are configured to create an alert cluster list interface for viewing alert clusters (rather than individual alerts) in an alert management system. The alert clusters presented via the alert cluster list interface are programmatically classified as similar or related using an alert clustering model as discussed herein. By providing the alert cluster list interface, various embodiments provide an automated and consolidated view of the alert landscape presented at any given time within a software application framework.

Embodiments provide an alarm management and real-time remediation system that receives an electronic file that includes an overdraft information data structure that includes overdraft information, and automatically parses the overdraft information as an overdraft event for an associated customer. And the system sends an overdraft limit notification message to the associated customer. The message includes a link to an authentication interface of an institution associated with the customer. After the customer is authenticated, the system provides a user interface that displays overdraft information for each overdraft event associated with the customer, and display elements for payment options. In response to the customer selecting the payment option, the system sends a payment message that results in a transfer to the institution.

A system and a computer-implemented method for generating, propagating, and processing alert messages on a blockchain network. The alert messages are generated and sent by an alert management service and may instruct mining nodes to take specific actions, including freezing transaction outpoints, banning peer nodes, invalidating blocks, or conducting confiscation transactions to move assets from a transaction outpoint to another address. An alert handler within the node software in the mining node manages the parsing and processing of the alert. The alert may be sent in a P2P message that includes a serialized alert transaction that itself contains the alert message in an output field. The processed alert message causes the alert transaction to be included in the mempool and ultimately in the blockchain.

A computer system for managing medical device alarms receives an alarm from a medical device monitoring a patient of one or more patients. The computer system also receives clinical contextual information corresponding to clinicians. The computer system further receives patient contextual information corresponding to the one or more patients. The computer system determines, based on the alarm, the clinical contextual information, and the patient contextual information, a subscriber list and an alert. The subscriber list includes identity data identifying a first subset of the clinicians that are associated with the patient. The computer system further sends the alert to endpoints associated with the subscriber list.

Methods and systems for managing operation of a data processing system are disclosed. A management controller of the data processing system may identify an occurrence of an event for the data processing system that triggers a policy for the data processing system. A policy enforcement process may be performed based on the triggered policy. During performance of the policy enforcement process, environment data may be obtained by the management controller using a portion of hardware resources of the data processing system (e.g., a sensing device), and the environment data may be provided by the management controller to a remote system for analysis. To manage an outcome of the occurrence of the event and / or future occurrences of the event, an action set (based on the policy and / or the analysis of the environment data) may be performed.

The patient monitoring device initiates an interval mode, which includes measuring blood pressure at predetermined intervals within a predetermined time period. The device obtains a first blood pressure measurement at one of the predetermined intervals and determines whether the first blood pressure measurement is abnormal. If the first blood pressure measurement is determined to be abnormal, the device obtains a second blood pressure measurement after a predetermined delay. The device compares the first blood pressure measurement with the second blood pressure measurement to determine whether the first blood pressure measurement is abnormal. If the first blood pressure measurement is determined to be abnormal, the device triggers an alarm.