Should a pressure‑equipment quality engineer spend their valuable time manually compiling test‑report spreadsheets, or focus on on‑site test oversight?

At Jianlong SCBC, AI is no longer just a concept on PowerPoint slides. Instead, it acts as a digital co‑worker embedded in shop‑floor workflows, freeing up valuable working hours for front‑line teams.

01 Ditch the “Spreadsheet Overload” | Hydrostatic Test Reports Generated in Seconds

Hydrostatic testing of heating‑surface components is a critical gate for boiler pressure‑parts release. In the past, engineers spent hours pulling hundreds of test‑run parameters across systems, verifying material specifications and pressure indicators, and formatting charts. Manual data entry also brought risks of decimal‑point errors and full‑report rework.

Teaming up with the AIBP group, the Process & Quality Department built an intelligent agent for heating‑surface hydrostatic‑test reports. Connected to underlying QMS data interfaces, it automatically captures and validates test curves and key metrics, and outputs fully‑compliant, finished reports within seconds.

AI takes over repetitive data‑handling work, allowing engineers to refocus on physical on‑site inspections and professional judgment.

02 Less Manual Look‑ups of Drawings & Glossaries | Iterative Compact Tools Address Pain Points

Lightweight digital tools have been rolled out to resolve bottlenecks in logistics and finance workflows. Packing List Multilingual Recognition Tool (V0.1.25) Powered by large‑language models and machine vision, it identifies material specifications and auto‑completes Chinese‑English conversions, eliminating error‑prone manual checks for overseas‑order item descriptions.

NCC Auto‑Entry Tool (V0.4.8) It enables bulk data population and logical validation for vouchers, mitigates system lag caused by multi‑order‑number operations, and greatly reduces manual‑input mistakes.

These non‑disruptive plug‑ins free staff from tedious labor while generating reliable, real‑time data to support business analysis and risk management.

03 Human‑AI Collaboration | AI Takes Over Repetitive Tasks, Not Human Roles

Per the digital‑governance provisions in the SCBC Charter, AI serves as an enabler for operations rather than a replacement for personnel.

AI handles mechanical, repetitive workloads. Engineers can concentrate on weld‑defect assessment; finance and supply‑chain teams can track business fluctuations; technical staff can devote more effort to process innovation and lean improvement.

As pressure gauges return to zero and engineers sign off on‑site, test reports are already ready. Such is Jianlong SCBC’s digital co‑worker: it works quietly alongside production workflows to boost efficiency through human‑machine collaboration.