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Alarm notification

XiaoZhou Cloud Open is deeply committed to industry-specific alerting services, which are a core functionality of the Internet of Things (IoT). It incorporates a multitude of solutions that possess the following capabilities:

  • Real-time monitoring: It tracks the status and performance of IoT devices, including sensor data and device connectivity status.
  • Alert notifications: Prompt notifications are sent in a timely manner upon the detection of anomalies or device failures. Relevant personnel can be notified through various channels such as SMS, email, and mobile applications.
  • Alert handling: It provides a comprehensive alert handling process, encompassing the reception, analysis, and formulation of solutions for each alert.
  • Data analysis: It analyzes data from IoT devices to identify potential issues and trends, offering data visualization and reporting functionalities.
  • Alert history records: It maintains a historical database of all alert events, facilitating retrospective analysis.
  • Alert levels and priorities: Different alert levels and priorities are set based on the severity and urgency of the alerts, ensuring prompt response and resolution.

The primary objective is to monitor and manage IoT devices, promptly detecting and resolving device failures and abnormal situations, thereby ensuring the stable operation and security of the IoT system. Through alerting services, downtime can be minimized, device reliability and availability can be enhanced, and user experience can be improved. Additionally, alerting services can assist enterprises in data analysis and forecasting, optimizing device maintenance and management strategies, and improving operational efficiency while reducing costs.

Customization with multiple parameters

Each device can be configured with multiple associated conditions, supporting multidimensional operational analysis for alerting, enabling comprehensive device monitoring without overlooking any details. Enhance your devices with a "sentinel" feature.

Customized operational rules

The analysis of information lacks intelligence? It is recommended to incorporate constants, variables, and customized algorithms for pre-processing alerts, in order to better cater to multidimensional issues.

Accurate triggering to prevent false alarms

Notifications can be preconfigured by users based on their device preferences, for example: triggering an alert after X repetitions of a message, or issuing a fault recovery alert after a delay of S seconds.

Multi-platform notification service, worry-free service

The feature of associating notification groups with alarm rules is a convenient and efficient function that enables the transmission of alarm information to relevant personnel through various notification methods. In addition to the commonly used methods such as email, SMS, and phone calls, it also supports multiple notification methods such as WeChat Official Accounts, Enterprise WeChat Groups, DingTalk Groups, Feishu Groups, and Telegram, ensuring the timely delivery of alarm information to the relevant individuals.

The alarm data is easily comprehensible

Data visualization, displaying alarm data in a visually intuitive manner.

Internal alerting service, centralized management of alert issues

The workstation promptly presents alarm notifications in a conspicuous manner, ensuring that you immediately notice the alert information through prominent colors, animated effects, and pop-up windows. Additionally, it is equipped with alarm sound effects that uniquely remind you to address the alerts, guaranteeing that you do not miss any crucial notifications.

Collection of malfunction data

Alarm information will be collected and managed centrally in its raw data format, allowing for exportation and analysis.

Mobile notification

Using WeChat as an example: Upon receiving notification messages, XiaoZhouCloud Open will promptly send message notifications through the WeChat service account. By utilizing the WeChat mini-program, users can instantly access real-time device data.