Intelligent belt sampling system
Widely used in industries such as thermal power plants, coking plants, steel plants, smelters, coal, ports, etc., for the sampling and preparation of bulk materials such as coal, coke, ore, and iron ore powder by belt conveyors.
Product Overview
The intelligent belt sampling system strictly follows the relevant sampling standards and achieves online sampling, crushing, scaling, sample collection, cleaning, and information collection of bulk materials on the conveyor belt at the head or middle under unmanned conditions through automated control. It obtains primary samples of the specified quality for the next level of sample preparation.
Automation standards
The intelligent belt sampling system is controlled through PLC and upper computer linkage, strictly following sampling standards such as GB/T 19494, and achieving full process automation from sampling, crushing to sample reduction and collection. The system has a built-in quality traceability module that can automatically record data such as sampling time, location, weight, etc., ensuring that primary samples meet the requirements of the next level of preparation. It is suitable for scenarios such as thermal power plants and steel plants that require strict data compliance.
Modular Expansion
The system adopts a modular architecture, and the basic configuration (sampling machine+chute+collector) can be quickly deployed in small occasions; Expanding the configuration (crusher+splitter+waste material return system) supports multi-level sampling requirements. For example, for high moisture materials, drying and anti clogging modules can be added; For high hardness ores, wear-resistant crushing devices can be configured to achieve a customized solution of "one machine for multiple uses".
Intelligent adaptation
Through dynamic flow monitoring and adaptive adjustment technology, the system can perceive changes in material flow in real time and automatically adjust the sampling frequency and crushing particle size. For example, when wet coal or viscous materials are detected, the system will activate a high-frequency vibration cleaning device to prevent material blockage caused by viscous materials; At the same time, non-contact sensors are used to avoid secondary pollution of materials and ensure a smooth and reliable sampling process.
Working Principle
Dynamic capture
By dynamically matching the scraper type sampling head with the material flow of the belt, and utilizing a rotating curved surface design to achieve continuous scraping of the entire cross-section, it ensures that the sub sample is cut without omission. This principle combines the flow characteristics of materials and avoids local sampling deviations through precise control of angles and velocities.
Intelligent anti blocking
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The system adopts real-time flow monitoring and dynamic adjustment technology for crushing particle size. Through sensor feedback of material status, it automatically adjusts the crusher speed and splitter parameters to prevent wet and sticky materials from clogging. At the same time, the waste material return system is designed with gravity balance to ensure continuous and stable material transportation.
Expansion principle
基于标准化接口设计，系统可快速集成除尘、水分监测等模块。例如，通过预留数据接口与机械连接点，实现功能模块的即插即用，满足不同行业对采样精度或环保的定制化需求。
Structural Composition
Project Case
Guonuo weighing equipment has been successfully applied to multiple domestic and foreign enterprises and has gained widespread recognition
Production Process
Guonuo Technology adopts internationally leading production processes and equipment to ensure stable and reliable quality
Scraping process
The sampling head adopts elastic material and soft contact with the belt, combined with wear-resistant coating technology, to reduce belt wear while ensuring scraping efficiency. In the process, the contact force is dynamically adjusted through pressure sensors to meet the sampling requirements of materials with different hardness.
Control process
Adopting the process of "pre crushing+secondary reduction", the material is initially crushed to below 20mm by a roller crusher, and then cut proportionally by a reduction device. In the process, the final sample size is stably controlled within the range of 3-12mm by adjusting the opening size and cutting frequency of the splitter.
Transportation process
Apply hydrophobic coating on the surface of the chute and belt, and equip with high-frequency vibration cleaning device. By using timed start stop vibrators and airflow assistance in the process, wet coal adhesion is effectively prevented. At the same time, an inclined conveying design is adopted to reduce material residue by utilizing gravity.
Tracing the process
Through industrial IoT technology, real-time data such as sampling time, location, weight, etc. are uploaded to the cloud. In the process, encrypted transmission protocols and blockchain authentication technology are used to ensure that data cannot be tampered with, while supporting remote diagnosis and parameter adjustment to reduce on-site maintenance frequency.
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Sustainable Development Commitment
Guonuo Technology integrates the concept of sustainable development into the weighing industry, committed to balancing resource development and environmental protection
Environmental protection
- Invest 200 million yuan to build a mine water treatment system, with a water recycling utilization rate of 95%
- Adopting a closed coal transportation system to reduce dust emissions by over 80%
- Implementing the mine land reclamation plan, 1200 acres of vegetation have been restored
social responsibility
- Provide over 500 job opportunities for the surrounding communities of the mining area
- Invest in the construction of 3 Hope Primary Schools and 2 Community Medical Centers
- Annual investment of 10 million yuan for community development and poverty alleviation projects
Future goals
- Reduce carbon emissions intensity in production processes by 20% by 2030
- Invest 500 million yuan to develop low-carbon coal washing technology and clean utilization technology
- Realize 100% land reclamation and ecological restoration of mines by 2030
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