Declining Resource Grades
The traditional model of relying on high-grade ore development is unsustainable, with unit output costs continuously rising.
Mining & Infrastructure
From Extensive Extraction to Green Recycling — Ushering in a New Era of Intelligent Waste Rejection for Mining and Infrastructure
Leveraging XRT and AI vision algorithm intelligent sorting technology, focusing on three major application scenarios — intelligent waste rejection stations, tailings enrichment, and recycled sand production — to build a green value closed loop of "resource identification — value extraction — material conversion — system integration."
OVERVIEW
Overview
The mining and infrastructure industry is at a critical stage of transitioning from extensive resource development to efficient utilization and green recycling. JONO Technology deploys XRT and AI vision algorithm intelligent sorting, waste rock and tailings enrichment, recycled sand production, and intelligent waste rejection stations, achieving coordinated development of mineral resource exploitation and engineering material supply through front-end sorting and resource utilization systems.
By moving the value assessment of ore ahead of grinding, using XRT and AI vision algorithm identification for sorting, it not only reduces energy consumption and equipment wear, but also improves the overall grade of incoming materials, creating better conditions for subsequent beneficiation processes.
Intelligent Waste Rejection Station Tailings Enrichment Recycled Sand Production
INDUSTRY CHALLENGES
Industry Pain Points: The Predicament of Traditional Mining and Infrastructure
Solid Waste Storage and Environmental Risks
Large volumes of waste rock and tailings are stored long-term, not only occupying land but also posing potential environmental and safety hazards.
High Energy Consumption and Water Constraints of Wet Processing
Processes heavily dependent on water resources face mounting pressure under water scarcity and increasingly stringent environmental policies.
Path Dependency on "Crush First, Sort Later"
This leads to large amounts of ineffective material entering downstream systems, needlessly increasing energy consumption and equipment wear.
Shortage of Infrastructure Raw Material Supply
Natural sand and stone resources are increasingly depleted, making stable raw material supply and cost control more difficult.
Dual Pressure of Labor Costs and Stability
Labor costs continue to rise and workforce stability is uncertain; the industry urgently needs to transition toward higher efficiency, lower consumption, and intelligence.
JONO SOLUTION
JONO Technology Integrated Solution: Source Sorting + Resource Utilization + System Integration
Addressing industry pain points, JONO Technology has built an integrated solution covering key stages of mining production and infrastructure material supply, achieving full-process optimization from resource identification to value conversion.
Move sorting upstream for precise waste rejection at the source
Introduce intelligent sorting technology based on physical feature recognition to pre-screen raw ore, effectively removing low-value or valueless materials before they enter the crushing and grinding system, significantly reducing downstream processing load.
Re-process waste rock and tailings to unlock stored value
Re-sort and enrich waste rock, tailings, and historically stockpiled materials, achieving secondary recovery of valuable elements, while converting low-value materials into manufactured sand and aggregate products directly serving infrastructure construction.
Modular, intelligent systems for fully continuous automated operations
Build modular, intelligent waste rejection and sorting systems enabling continuous operation from feeding, identification, execution to discharge, supporting automatic control, data monitoring, and dynamic optimization of operating parameters.
CORE TECHNOLOGY
XRT and AI Vision Algorithm Intelligent Sorting
Powered by cutting-edge technology, achieving full-scenario ore identification coverage and overcoming multiple industry imaging and detection challenges.
Multi-Energy Precision Detection
Multi-energy spectrum imaging and photon counting detection work in synergy, setting multiple energy thresholds to distinguish energy-level photons, using individual photons as information carriers for precise multi-energy detection.
High Signal-to-Noise Imaging
Scattered radiation filtering technology enhances imaging signal-to-noise ratio, overcoming challenges in imaging high-thickness materials and strengthening low-grade ore identification capability.
Full-Grade Identification
Leveraging full-scenario coverage algorithms to achieve precise identification of high-grade ore and keen capture of very low-grade ore.
VALUE LOOP
Building a Synergistic Development Ecosystem, Practicing Green Circular Models
Resource Identification
Precise detection via XRT and AI algorithms
Value Extraction
Source-accurate waste rejection and waste rock enrichment
Material Conversion
Transformation into manufactured sand and aggregate for infrastructure
System Integration
Intelligent system for full-process automated operation
This closed-loop model helps enterprises reduce downstream processing costs and improve economic benefits, while achieving unified development of resource conservation and environmental friendliness.
APPLICATIONS
Three Major Application Scenarios and Case Showcase
Intelligent Waste Rejection Station
Through intelligent waste rejection stations, low-value materials are identified and removed upfront, reducing ineffective processing volume in subsequent crushing, grinding, and sorting systems, driving the green intelligent transformation of mines.
A Tungsten Industry Intelligent Pre-Sorting Waste Rejection Project
Introducing advanced XRF intelligent sorting systems, the equipment uses XRF spectral analysis principles combined with AI algorithms to pre-eject large volumes of low-grade waste rock, effectively improving grinding feed grade and reducing downstream ineffective processing volume.
Tailings Enrichment
Re-sorting and enriching waste rock, tailings, and historically stockpiled materials achieves secondary recovery of valuable elements while reducing tailings dam pressure.
A Tailings Treatment Project
By re-sorting and enriching waste rock, tailings, and historically stockpiled materials, secondary recovery of valuable elements is achieved, converting previously difficult-to-utilize low-value materials into reusable resources.
Recycled Sand Production
Converting low-value materials into manufactured sand and aggregate products to serve infrastructure construction, alleviating supply pressure and cost pressure caused by natural sand and stone resource shortages.
Application Value
Targeting infrastructure material supply, channeling resource-based products into engineering material scenarios, achieving synergy between mineral resource development and infrastructure construction.
Mining & Infrastructure