T-RADE Intelligent Algorithm-天创机器人

T-RADE Intelligent Algorithm

The T-RADE intelligent algorithm, based on a large amount of experience and technical accumulation in intelligent inspection and operation of segmented scenarios, forms a multi class configurable algorithm model at the application level, forming a powerful AI algorithm library. Ability to quickly deploy and build high-performance AI algorithm application capabilities for enterprises.

T-RADE Intelligent Algorithm

Tianchuang Robot T-RADE Intelligent Algorithm-Tianchuan Series provides more than 100 high-precision, cost-effective, and highly adaptable algorithm models, covering equipment testing, image recognition, environmental monitoring, etc., and can be applied to visual scenes in the industrial and energy industries. At the same time, with the help of the multi-source data collection and computing base, the full scene and multi-modal information are integrated for analysis and situation characterization to empower intelligent decision-making.

Core Competence

Eliminate Data Silos

Data sources are diversified, covering robot and fixed equipment personnel records, breaking down barriers to various modules of scene monitoring and strengthening efficient linkage of multi-source information.

Build a Monitoring Skynet

Heterogeneous data types, accessing various types of data such as video, vibration, and trajectory, mining various characterization information, and establishing an analysis system covering information across the industry.

Enhance Algorithm Adaptation

Enriching data computing power, adapting to various computing power carriers such as Rockchip and NVIDIA, and efficiently deploying adaptive algorithm models to promote rapid implementation of applications.

Streamline Operation and Maintenance Processes

Data presentation is diversified, relying on interactive methods such as real-time status and statistical analysis of threat alerts to output complete monitoring reports in one stop, simplifying the full-process management of industrial scenario operation and maintenance.

Empowering Intelligent Decision-Making

Comprehensive data decision-making, integrating fault mechanisms, expert experience, machine learning and other technologies to expand the basis for decision-making judgment, and building a complete decision-making system driven by "knowledge + data".

Explore Application Effectiveness

Diversified data needs, in-depth analysis of typical needs in power new energy, metallurgical mining, oil and gas chemicals, and public utilities industry scenarios, summarizing the versatility and applicability of solutions, and generalizing comprehensive industrial health solution capabilities.

Algorithm Advantage

Improve Closed-Loop Services
Continuously track on-site feedback to ensure diagnosis and decision-making accuracy
Rich Example Samples
Relying on robots and monitoring sensors to accumulate massive samples
Lightweight Computing Deployment
Edge devices are equipped with low-energy algorithms and lightweight solutions
Precise Operation and Maintenance Decisions
Breaking through the limitations of a single detection method, collaborative determination of multi-source knowledge
Mature Model Framework
Various basic algorithm models are complete and quickly respond to needs
Flexible Solutions
Coverage of functional requirements in all scenarios and customize solutions according to needs