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EXPERIENCE & CASES

Expertise grounded in work and results

These projects were undertaken by team experts in prior organizations and show the origins of Be Water’s methods. Each is described within its own scope, period and outcome measures.

Multi-site operating improvement

Bring business objectives into daily factory management

Historical work by team experts in prior organizations · Outcomes reported in project materials

30+principal production enterprises
Project coverage of integrated operating management
10%annual energy-cost savings
3–10%overall yield improvement over five years

The work undertaken

A historical project at a major non-ferrous metals group established business-management systems and integrated operating management across more than 30 principal production enterprises.

Outcome scope and measurement context

Project materials report annual energy-cost savings of 10% and an overall yield improvement of 3–10% over five years. The measures have distinct periods and definitions.

How this informs today’s products

Group-wide business-management systems and deployment across production enterprises inform product use and handover at multiple factories. Each adoption configures the factory’s own equipment, records and permissions.

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Intelligent energy dispatch in steelmaking

Coordinate energy across processes to reduce gas venting losses

Historical industrial-platform project · Outcomes reported by the original project material

3%energy savings
The project reports reduced gas venting losses, dynamic network balance and a 1% increase in overall output

The work undertaken

At a northern Chinese steel group with annual capacity of 10 million tonnes, the existing EMS collected and displayed data but provided limited support for dispatch. Gas, steam and compressed-air supply and demand were imbalanced, and exception assessment relied mainly on staff experience.

  1. Investigate energy supply and demand across processes

    Repeated site investigations covered nearly 10 processes, including coking, to define the dispatch work around imbalances in gas, steam and compressed-air supply and demand.

  2. Model specific dispatch arrangements

    At least 15 energy models, including guidance for staggered hot-blast stove operation, provided a computational basis for allocating resources across processes.

  3. Support dispatchers in coordinating energy use

    Gas, steam and compressed-air navigation and cross-process resource scheduling supported a move from individual experience toward dispatch decisions based on data and model results.

Outcome scope and measurement context

Under “Results achieved,” the original project material reports lower blast-furnace and coke-oven gas venting losses, dynamic balance in the gas network, a 1% increase in overall output and 3% energy savings. These are overall results of this energy-dispatch project.

The material estimates total economic benefit at nearly RMB 42 million: 10 million tonnes of capacity × 1% additional output × RMB 300 profit per tonne gives RMB 30 million from output, plus RMB 12 million attributed to energy savings.

Separately: cost improvement across several steel projects

An expert’s career profile reports a 5–15% reduction in cost per tonne across several steel enterprises. This cross-project summary is separate from the 3% energy savings in the northern steel case above; the projects and measures differ.

How this informs today’s products

The data platform connects energy records across processes to the dispatch task. Models, including staggered hot-blast stove operation, support the calculation of operating arrangements that dispatchers use to coordinate supply and demand. Today’s data and industrial-analysis products build on this connection between records, models and dispatch work.

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Quality tracking through materials and production

Trace issues through materials, processing and inspection

Historical work by team experts in prior organizations · Outcomes reported in project materials

Connected records for quality tracking
  1. MaterialsMaterial records
  2. ProcessingProcess records
  3. InspectionInspection results

Link production and inspection records to trace issues through the process

Material digital twinsDynamic quality-tracking systems for forging and specialty metallurgy · Two technical white papers

The work undertaken

A special-steel project established material digital twins and dynamic quality-tracking systems for forging and specialty metallurgy, linking production processes with inspection records.

Outcome scope and measurement context

The work produced systems and two technical white papers, supporting specialists investigating quality issues in materials and production.

How this informs today’s products

Today’s data platform can organize records around materials, process steps and inspections, helping specialists trace relevant information and check the materials and processing stages associated with a quality issue.

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See how products can participate in work today

Interactive work examples use simulated records to explain data, computation and human–AI collaboration. Pause to inspect the basis or return to a point in the process. These examples are distinct from the historical project outcomes above.

From data to operating judgement Human–AI work in a new factory Site operation and maintenance