Project Background
A manufacturing company needed to organize electricity, gas, steam, vehicle fuel, and purchased energy data for internal low-carbon management and ESG materials. Data was scattered across meters, financial ledgers, equipment records, and spreadsheets.
Applicable Scenarios
This case is suitable for Low Carbon and Data Governance projects that need to unify offline processes, device data, user operations, and management reports. If an enterprise already has partial systems, the project can start from high-frequency workflows or critical devices and then expand gradually.
Client Requirements
- Manage organizational boundaries, energy types, measuring points, emission factors, and accounting cycles.
- Collect or import electricity, gas, steam, fuel, and other energy data.
- Calculate emissions by scope, department, production line, or product dimension.
- Generate trend dashboards, reduction records, and ESG report source data.
Technical Solution
The project did not stop at energy charts. It unified energy data, accounting rules, and reporting requirements through data acquisition, manual review, and rule-based calculation.
- Built modules for organizational boundaries, emission sources, energy types, measuring points, and emission factors.
- Supported automatic acquisition, spreadsheet import, and manual filling for different data sources.
- Generated monthly, quarterly, and annual emission accounting results and trend analysis.
- Provided reduction project records, data review, report export, and report material organization.
System Functions
- Energy data acquisition, emission factor maintenance, accounting rule configuration, and data review.
- Category management for Scope 1, Scope 2, and selected supply-chain-related data.
- Trend views by organization, department, production line, energy type, and time.
- Report export, audit trails, abnormal data reminders, and permission management.
Data and Security Design
- Define permissions for administrators, business users, maintenance staff, and external collaborators.
- Keep operation logs for important business actions to support tracing, audit, and review.
- Use authentication, parameter validation, and clear error responses for external APIs.
- Support backup, export, and conditional query for important data to simplify long-term maintenance.
Implementation Process
Implementation began with accounting boundary and energy data source analysis, then defined measuring points and emission factor maintenance. Historical data, formulas, import templates, and report fields were verified before launch.
Acceptance Focus
- Core workflows can run through creation, processing, query, and archive.
- Key data fields match the client's business definitions and report results can be reviewed.
- Mobile, backend, and API data remain consistent with clear exception messages.
- Deployment, account permissions, operation instructions, and maintenance methods are delivered clearly.
Delivery Results
- Energy and emission data moved from scattered spreadsheets to a unified ledger.
- Accounting processes and data sources became clearer and easier to review.
- Management can view emission trends and key energy consumption by cycle.
- The system provides data foundations for ESG reports, energy-saving projects, and low-carbon management.
Project Boundary
This is an anonymized industry case focused on project type, technical route, and delivery method. Real implementation should be evaluated against the client's existing systems, devices, workflows, permissions, and maintenance conditions.
Reusable Experience
Carbon management systems should unify accounting rules and data sources before automation and visualization. Companies with weak data foundations can start from main energy sources such as electricity and gas.
Related Services
FAQ
How is this different from an energy dashboard?
An energy dashboard focuses on operation monitoring; a carbon accounting system focuses on boundaries, factors, rules, review, and report output.
Must all energy data be collected automatically?
No. Automatic collection, spreadsheet import, and manual filling can be combined in stages.
Can the system generate a complete ESG report?
It can provide data and partial templates, but complete ESG reports also require governance, social, and disclosure information.
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