Core Technology & Innovation
Four industry directions, one engineering methodology
Starting from physical quantities, we unify perception, transmission, analysis, and execution methods to adapt to diverse industry conditions, ensuring research outcomes are reliably deployed in the field.
Technical Claims
Return to the physical roots of devices and engineering, turning observable data into actionable decisions.
Equipment forms and operating environments vary widely across industries, but the underlying approach remains consistent: accurately measure physical quantities at the source, collect and execute tasks at the edge, perform local analysis, and aggregate trends and knowledge in the cloud. We have standardized this methodology into a four-layer architecture, enabling reusable capabilities across multiple industries.
Four-Tier Technical Architecture
Cloud-Edge-Device-Origin: Data aggregates upward from the bottom layer by layer.
Each layer has a clear responsibility boundary and corresponding product form, capable of being delivered independently or combined into an end-to-end solution.
Data Flow: Source → Edge → Cloud
Cloud
Cloud
Aggregate cross-site data, analyze trends, and build knowledge to optimize operations strategies and close the business loop.
Edge
Side
Perform real-time analysis and alerts locally on-site to reduce backhaul bandwidth pressure and ensure timely response to anomalies.
Device
edge
Handles on-site data collection, preprocessing, and task execution across substations, hydraulic structures, production lines, and hazardous environments.
Source
Source
Capture and condition signals from physical quantities to ensure accuracy, synchronization, and traceability of raw data.
Key Technical Capabilities
Five capabilities covering the complete workflow from accurate measurement to informed decision-making.
Multi-parameter Perception
Synchronous acquisition and calibration methods for multiple physical quantities including temperature, vibration, partial discharge, seepage flow, deformation, and gas.
Solves the problem of single-parameter limitations in accurately assessing device status.
Edge Analytics
Performs feature extraction, threshold evaluation, and anomaly detection on-site to generate explainable alerting rationale.
Resolve data transmission delays and slow on-site response times.
Independent Assignment
Inspection path planning, payload switching, and hazardous environment operation control with manual remote override support.
Mitigate high-risk human operations and low coverage frequency in hazardous areas.
Data Governance
Standardize point coding, time-series alignment, and quality validation to create reusable field data assets.
Resolves inconsistencies across multiple data sources and enables easy cross-comparison.
Agent Analysis
Leverage industry standards and model capabilities to generate status assessments, trend forecasts, and remediation recommendations.
Address the challenge of high alert volume without decision support.
Technology Direction Matrix
Six research directions, each corresponding to an expert in the expert pool.
Conversion Path
Five Stages from Research Breakthroughs to On-Site Delivery
Research Achievements
Built on research accumulated from university-industry collaboration teams and our in-house R&D staff.
Engineering Validation
Validate the method, calibrate parameters, and conduct reliability testing under real-world operating conditions.
Productization
Evolved into sensory integration modules, perception terminals, specialized robots, and an intelligent agent platform.
Industry Solutions
Delivered as combinations for power & energy, water resources, smart manufacturing, and industrial safety scenarios.
Ops Iteration
Continuously optimize thresholds, models, and job strategies based on live operational data.
Need a technical validation for your use case?
Let's discuss sensor placement, data ingestion methods, analysis rules, and operational plans. We'll provide actionable technical solutions tailored to your industry context.