Massive Device Access
Unified access for gateways, PLCs, robots, instruments, and edge nodes, forming a standardized device connection and identity management mechanism.
Oriented towards equipment operation and factory management scenarios, building an integrated platform capability from device access, real-time monitoring, alarm interaction, to data analysis and interface openness.
This is not a single dashboard, but a sustainably operated industrial data hub, supporting multi-role collaboration and multi-system integration.
Unified access for gateways, PLCs, robots, instruments, and edge nodes, forming a standardized device connection and identity management mechanism.
Real-time collection and rule processing of telemetry, status, events, and alarms, supporting second-level monitoring and anomaly triggers.
Output data capabilities to upper-level business systems through APIs, reports, and visualization components, supporting rapid expansion of industry applications.
Unified equipment register, asset model, and customer relationships, supporting batch registration, group management, and lifecycle maintenance, forming a clear operational baseline for devices.
Supports MQTT, HTTP, and other protocol access, performing real-time filtering, transformation, routing, and triggering of telemetry and event data, quickly enabling automated interaction processes.
Triggers alarms based on thresholds, status, and events, supporting graded notifications, suppression strategies, work order flow, and process tracking, improving anomaly response speed and closure efficiency.
Build monitoring screens quickly through dashboards and large-screen components, supporting role-based layered display of equipment status, trend curves, and key KPIs, facilitating multi-role collaboration.
Provides API and event push capabilities to integrate with MES, MOM, ERP, and other systems; also supports multi-tenant isolation, role permissions, and data domain control.
Supports viewing device details, parameter verification, status tracking, and remote maintenance collaboration, helping the operations team quickly locate anomalies and improve handling efficiency.
Builds platform value around cost, efficiency, scalability, and intelligent implementation.
Centralizes scattered device data and operational processes into one platform, reducing manual inspections
Supports expansion from pilot projects to multiple factories, ensuring data processing stability and continuous platform growth.
Turns equipment services, maintenance services, and data services into products, driving business transformation from delivery-focused to operations-focused.
Continuously trains and analyzes models based on historical and real-time data, providing a basis for quality optimization and efficiency improvement.
Submit equipment types, point scale, interfacing systems, and management goals; we can provide platform planning, module prioritization, and implementation path suggestions.