

Post Requirements

Post Requirements
Product information
1. Core product information
product name: TIM-SN300 multi-modal identification and diagnosis AI large model all-in-one machinebrand: TETRN BOT Tianchuang Robotproduct positioning: Edge analysis equipment for industrial scenarios that deeply integrates hardware computing base and AI algorithm platformcore label: Standard system platform, built-in AI algorithm capabilities, covering domestic and foreign mainstream AI models
2. AI algorithm capabilities
core value: Help enterprise customers build high-performance AI algorithm applications
- Algorithm free call control: Support AI algorithm selection and customization of model thresholds and alarm parameters.
- algorithm self-optimizing: Based on the running data samples, the algorithm system adjusts and optimizes itself to adapt to the scene recognition target.
- algorithm supply: 5 categories of 100+AI identification algorithms, covering equipment, facilities, personnel, and environment identification and testing.
- Core identification scenarios: Equipment status assessment, material defect identification, environmental status monitoring, personnel behavior identification, instrument data collection.
- Algorithm library support: Configure more than 100 algorithm libraries in five categories: meter status reading, scene environment monitoring, structural defect identification, equipment health management, and personnel behavior supervision, which are called on demand and freely combined.
3. System platform capabilities
core value: Quickly build a customized management and control system platform for corporate customers
- Core Capability Module: Capability base, equipment IoT, data access, diagnostic analysis.
- Internet of Everything: Supports simultaneous connection of multiple types of sensing hardware, allowing smooth connection with third-party platforms.
- data collaboration: Real-time data collection and transmission, supporting the access and integration of multiple and heterogeneous data sources.
- Diagnostic Analysis: Based on self-developed large-scale model cloud computing, realize statistics, diagnosis, and analysis of monitoring data, and build a visual display of multi-dimensional data trends.
- Platform functional interface: Algorithm configuration, information overview, real-time detection item configuration, real-time monitoring, task management, data statistics.
4. Hardware core configuration
- core processor: Equipped with ThinkForce TF7 XXA series AI processor
- storage configuration
- Factory pre-installed 3.5-inch SATA data disk
- DDR44 memory: 32GB/64GB
- System disk SSD: 500GB
- Data disk: 4T/8T
- interface configuration: 2 PCIe expansion interfaces, 4 USB3.0+2 USB2.0 interfaces, 2 network interfaces, 1 GbE system management network interface
- deployment features: Out of the box, flexible deployment; support rack installation, software and hardware integration.
V. Key technologies and characteristics
- Large model adaptation: Based on vertical fine-tuning of Qwen, Deepseek, 丨 O, World VLA and other large models, it adapts to all current mainstream open source large model platforms.
- independent and controllable: Comprehensively use localized firmware to build the hardware device layer, and the system software layer supported by the database and operating system is completely autonomous and controllable.
- system platform: Tianxuan AI perception and identification diagnosis system platform (integrated system integrating algorithm deployment, management, and configuration).
6. Application scenarios
One-stop operation and maintenance services, real-time monitoring of equipment on-site operation and equipment health management throughout the life cycle (suitable for industrial production lines, energy and chemical industry and other industrial scenarios).




















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