
Every tonne of emissions in the jurisdiction
counted, scored, filed and controlled
A carbon-emissions supervision platform for provincial / city / district regulators. Carbon ledger plus carbon examiner at the core: collection, accounting, assessment, monitoring, filing and decision in one six-loop close-out, with AI and carbon-finance collaboration.
From “dual control of energy” to precise carbon governance
The 15th Five-Year Plan is the decisive close of dual-carbon; national assessment methodology, statistical filing and ETS rules are landing densely
Interim Regulations on Carbon Emissions Trading (Decree No. 775)
Establishes MRV, data quality and three-tier supervision.
GOSC [2024] No. 39
Builds the dual-control system for carbon emissions.
NDRC Huanzi [2024] No. 1479
Improves carbon statistical accounting and annual / flash reports.
NDRC Order No. 31
Fixed-asset project carbon evaluation enters the approval gate.
JS/T 303—2026
Public-institution carbon accounting guide.
Comprehensive evaluation and assessment measures
“5+9” indicator system, three-tier rating.
15th Five-Year Plan carbon-peak action plan
2030 non-fossil energy 25%; carbon intensity down 65%+ vs 2005.
Five real challenges for regulators
As dual control of carbon lands, data, assessment and decision links commonly lack capability
Baselines cannot be counted
No unified collection and accounting methodology; key enterprises and public-institution emissions are unclear.
Data sits in silos
Reporting, IoT/CEMS and third-party data are scattered; no traceability or quality checks.
Assessment is still by hand
Enterprise and jurisdictional indicators are many, materials scattered; scoring cycles are long and methodologies disagree.
Many filing formats
NDRC, GOA and ETS three formats coexist; repeated reporting easily misses deadlines.
Decisions lack evidence
Dual-control progress, peak path and abatement potential lack quantified attribution and benchmarks.
Six capability blocks across the full supervision flow
Data collection · Carbon accounting · Assessment · Early-warning monitoring · Filing · Decision support
Data collection
Full-chain traceStandard reporting + multi-source ingest + quality checks — the data foundation for accounting and assessment.
- Industry-specific enterprise templates
- API/IoT/CEMS ingest
- Four check types and full-process records
Carbon accounting
Multi-method accountingFull-scope Scope 1/2/3 accounting; MRV reports and sector benchmarks in one stack.
- Factor / measured / model methods
- MRV reports auto-generated
- Sector benchmarks and energy-flow analysis
Assessment
Dual-track scoringEnterprise four-dimension weights + jurisdictional “5+9” three-tier rating — full-process close-out.
- Jurisdictional 5+9 item-by-item
- Auto scoring + human review
- Public notice, appeal and rectification tasks
Early-warning monitoring
One-screen controlLive dashboards + GIS one map + full-screen carousel; red / amber / green at a glance.
- Dual-control progress and compliance rate
- Multi-dimension warning handling
- GIS one map · 6-screen carousel
Data filing
Three-channel complianceNDRC / GOA / ETS three channels: one-click generate + quality check + ledgers.
- Annual / flash reports and carbon budgets
- Public-institution statistical ledgers
- Allowance compliance and expansion-ready
Decision support
Quantified attributionObject × indicator × method three-dimension analysis for leadership decisions.
- Dual-control broken down to streets
- Benchmark ranking and peak forecast
- LMDI attribution and abatement potential
Three-tier policy engine: build once, reuse across provinces
The national baseline cannot be overwritten; province / city policy stacks as config packs — import a pack to extend a new province, without code changes
A compliance foundation that cannot be overwritten
Dual control of carbon, MRV, statistical accounting and the national factor library are built in.
Differentiated policy config packs
Provincial ETS, carbon-peak plans and local standards overlay as config packs.
Local specialty indicators
City carbon-peak plans, inclusive carbon, climate investment and financing extend flexibly.
AI compresses accounting from “days” to “minutes”
Seven AI capabilities plus a carbon-steward chat assistant — faster supervision, a floor for risk control
Forecast analysis
Forecast 1–5 year emissions, scenario compare and carbon-peak outlook.
Anomaly detection
Fraud suspicion, abnormal swings and CEMS cross-checks, graded handling.
AI accounting
Auto-match methods and factors; single-enterprise / batch accounting and report drafts.
Policy interpretation
Extract new-policy points, compliance requirements and impact scope.
Abatement optimisation
Find emission hotspots; recommend feasible measures and cost–benefit.
Report generation
Carbon, assessment, trend and benchmark reports auto-generated and archived.
Carbon steward
Conversational AI: policy Q&A, compliance advice and operating guidance.
AI workbench
Capability entry, task stats and recent analysis in one place.
Carbon-finance collaboration: stick plus carrot, a full governance loop
The supervision platform does not lend; it is a trusted data source and policy hub — supervision drives finance, finance feeds abatement
Assessment results
Excellent / good enterprise scores become a trusted data base.
Whitelist
High-performing enterprises enter the pool as green-finance priority targets.
Investment-platform match
Connect climate investment platforms; match green-finance products.
Financing lands
Supervision drives finance; finance feeds abatement — a positive incentive.
Wuhan Wuchang District first-release demo scene
Wuchang District (420106) as the first-release demo domain; modules share one methodology — a replicable jurisdictional carbon-supervision template
* Figures above are demo-scene data to show platform capability; live deployments use each locality’s real data.
Land dual-carbon targets on one jurisdictional network
For provincial / city / district regulators: a digital carbon-supervision foundation that unifies collection, accounting, assessment, monitoring, filing and decision. Three-tier policy config and multi-province fast deploy, meeting MLPS and government-network security requirements.