CodeIslands Device Status Online Monitoring System is an AIoT (Artificial Intelligence/Internet of Things) product developed by Shanghai CodeIslands Technology Co., Ltd. It is used for real-time monitoring of the operational status of devices or facilities. Its functionalities include data acquisition and transmission, multi-channel monitoring and alerts, visual display of monitoring status, historical data query, statistics, and analysis.
(1) Data Acquisition and Transmission: This system collects and transmits the raw data generated by various sensors on the devices. It includes data filtering and uses reliable messaging protocols and transmission technologies to push the data to the display end in real-time. It supports data transmission for over 5000 monitoring points and handles the storage and transmission of a large amount of real-time monitoring data. Additionally, it integrates multiple streams of monitoring videos for display.
(2) Multi-channel Monitoring and Alerts: The system provides real-time display of the monitoring device's status and historical alert information. It supports alerts through multiple channels, including WeChat, SMS, and DingTalk.
(3) Status Display and Alerts: The system shows real-time changes in various monitoring parameters of the devices. It offers rich visual display effects, including dynamic charts, GIS maps, and 3D models of devices or facilities. It supports comprehensive display of device status and alert information on large screens and also allows device status display and alerts through a mobile app.
(4) Historical Data Query, Statistics, and Analysis: Users can query and analyze historical data for monitoring parameters, perform single-point and multi-point analysis, and conduct correlation analysis. Furthermore, the system enables comprehensive evaluation and analysis of device status based on big data and professional analysis models.
The CodeIslands Device Status Online Monitoring System is characterized by its universality and configurability, allowing it to quickly meet the monitoring needs of various devices or facilities.
(1) General Abstract Design for Monitoring Things: Based on the abstract design of monitoring things (devices or facilities), it allows the creation and management of templates for monitoring things. Specific monitoring things can be generated based on these templates. The properties of monitoring things can dynamically expand, adapting flexibly to various monitoring scenarios.
(2) General Abstract Design for IoT Devices: Based on a highly abstract design for IoT devices, it enables the creation and management of gateway devices, directly connected devices, sub-devices, etc., covering sensing, transmission, and communication aspects of IoT devices. The properties and capabilities of IoT devices can be flexibly expanded, including basic information, operational status, metric data, alarm records, capability definitions, monitoring tasks, data analysis tasks, alarm rules, device protocols, etc.
(3) IoT Configuration via Visual Drag-and-drop: Achieves visual design of device connection topology, allowing IoT networking and communication through drag-and-drop and configuration. Utilizing drag-and-drop components of views, monitoring items and their chart views can be flexibly configured.
(4) Complex Alarm Modes: The system not only supports multi-level alarm threshold settings but also accommodates custom alarm modes based on multiple attributes and rules, meeting the requirements of complex alarm scenarios.
(5) Comprehensive Data Processing and Analysis: Equipped with the management, configuration, and loading functions of the data analysis module, it can dynamically run analysis processing algorithms for monitoring parameters. By loading models of big data and specialized analysis, the system can assess device status and predict device lifespans.
(6) GIS plus 3D Display Support: Displays device location, status, and warning information based on maps or satellite images. The system uses a 3D display engine to show 3D graphics of devices, allowing roaming on and interaction with 3D models. The 3D models of devices visually display sensor positions and operational statuses.
(7) Large Screen Display Support: Comprehensive display of device status and warning information on a large screen. Large screen displays support various visual effects.
(8) Mobile App Support: Utilizes mobile apps or WeChat mini-programs to monitor device operational status anytime, anywhere, and receive timely alarms.
(9) Artificial Intelligence (AI) Model Management and Deployment: Utilizes machine learning through big data for AI-based anomaly detection, such as spectral anomaly detection for fiber optic sensors and vibration waveform anomaly detection for vibration sensors. The system supports flexible management and deployment of AI models.
(10) Multi-Protocol Support: Supports protocols such as RS232, RS485, CAN, Modbus, OPC UA, MQTT, etc. General communication protocols can be loaded through configuration.
(11) Integrated Video Surveillance Support: Supports the integration of multiple video streams for monitoring display in various browsers, including Chrome, Firefox, Safari, IE, Edge.
(12) Monitoring Display for Clustered Devices of Multiple Types: Supports monitoring of stationary and mobile device states. Displays the monitoring status of device clusters composed of multiple devices. Supports the monitoring and management of device clusters associated with multi-level organizational structures.
(13) Massive Real-time Data Support: Efficiently processes massive real-time data, especially demonstrating high performance and reliability in the transmission, processing, and storage of high-frequency real-time data.
(14) Cloud-Edge Collaboration: Collaborates between the cloud (private or public) and the edge (edge devices), with flexible horizontal expansion. The cloud and edge interact for data collection, and coordination occurs in data parsing, data analysis, and the loading and running of AI models, based on computational balancing between real-time performance and complexity requirement.
(15) Rapid Adaptation to Different IoT Application Scenarios: Designed based on a microservices architecture, the product can rapidly adapt to monitoring scenarios of different industries and scenes.
(16) Multiple Languages Support: Multiple languages and internationalization support.
(1)Monitoring Overview (Static Monitoring Things - Tunnel)
(2)Detailed Monitoring View(Mobile Monitoring Things - Vehicles)
(3)Mobile App（Real-time Monitoring - Alert）
