Project Background

Hami Luopotassium Plant has frequent raw‑material transshipment operations. Numerous dump trucks travel inside the plant for ore transportation. Traditional manual statistics suffer from low efficiency and large visual‑estimation errors of loading volume. The open‑air site faces heavy ice, snow and wind in winter. Manual registration brings high labor intensity and delayed statistics. The enterprise demands an automatic truck‑volume‑measurement solution adapted to harsh outdoor working conditions.

Project Pain Points

1. Harsh outdoor conditions with ice, snow, wind and low temperature; ordinary equipment cannot run stably.
2. Heavy truck flow. Manual counting is inefficient, and visual volume estimation causes significant data deviation.
3. No automatic snapshot archives for passing vehicles, lacking valid evidence for later reconciliation.
4. No online data aggregation. Managers cannot check transport statistics remotely.

Solution

Chongqing Jinyun Machinery deployed AI Automatic Truck Load Volume Measurement System for Hami Luopotassium. A gantry‑style detection station is built. No weighbridge is required. Measurement is completed while trucks pass at low normal speed.

Hardware Advantages

‑ Industrial‑grade hardware for northwest cold, windy, icy‑snow open‑air environment, dust‑proof and low‑temperature resistant, supporting stable 7×24‑hour continuous operation.

‑ Gantry‑type fast deployment without civil construction; ready for operation after power‑on with minimal site modification.

‑ Auto‑triggered recognition when trucks pass. No stop required, no negative impact on original plant traffic efficiency.

Core Software Functions

1. Automatic cargo‑volume measurement: AI calculates actual loaded‑material volume when trucks pass, replacing manual visual estimation.
2. Automatic vehicle counting: Automatically record truck trips and identify valid loaded‑vehicle passes.
3. Snapshot archiving: Auto‑capture on‑site photos for each truck, bound with volume, timestamp and license‑plate information for reconciliation and traceability.
4. Cloud data management platform: Plant managers access real‑time data and export transport reports via PC or mobile phones without on‑site presence.

On‑site Application Effect

After deployment, volume measurement and trip statistics are completed automatically as trucks pass the checkpoint.
Manual on‑site registration is fully eliminated and human‑estimation errors are removed. All transport data and snapshots are automatically archived in cloud storage.
The system keeps stable performance even under severe icy‑snow outdoor conditions. It greatly cuts on‑site labor cost and realizes digital management for ore transshipment, providing accurate data support for production accounting.

Customer Benefits

1. Cost reduction: Cut on‑site registration staffing and labor expenses.
2. High accuracy: AI‑driven volume calculation avoids visual‑estimation errors.
3. Full traceability: Snapshot archives provide evidence for every transport record.
4. Remote management: Managers view plant‑wide transport reports off‑site for better operation governance.