Energy-Consumption Monitoring · Energy-Efficiency Analysis · Key Energy Use

Digital Energy & Energy Supervision Solutions

Energy supervision, efficiency analysis and energy-saving strategy optimization make energy consumption meterable and optimizable.

OVERVIEW

Energy supervision, efficiency analysis and energy-saving strategy optimization make energy consumption meterable and optimizable.

Energy supervision, efficiency analysis and energy-saving strategy optimization make energy consumption meterable and optimizable. Built on full-factor smart meters and the AI analysis engine, it forms a complete data system from energy acquisition to the energy-saving loop.

Energy-Consumption MonitoringEnergy-Efficiency AnalysisKey Energy UseEnergy Reports
Digital Energy & Energy Supervision Solutions
PAIN POINTS

Industry Pain Points

01
📡

Incomplete Energy-Data Acquisition

Most enterprises only collect master-meter data; workshop, production-line and equipment-level consumption has large blind spots, making it impossible to locate high-energy nodes or practice refined management.

02
📊

No Energy-Efficiency Baseline

Without baselines such as product unit consumption and per-area consumption, it is impossible to identify saving potential or judge whether current energy use is reasonable.

03
📝

Manual Energy Reporting

Energy statistics depend on manual meter reading and Excel, which is time-consuming and error-prone; data lags by days or weeks and cannot support real-time management decisions.

04
🔍

Hard to Quantify Retrofit Results

After energy-saving retrofits, there is no before/after comparison or continuous monitoring, so results cannot be verified and returns cannot be assessed.

ARCHITECTURE

Solution Architecture

Layered architecture, a complete data loop from sensing to operation.

Sensing Layer
ESA Full-Factor Smart MeterESE Power-Quality MonitorCW Edge Computing GatewayWater/Gas/Heat MetersEnvironment Sensors
Platform Layer
Energy Supervision CenterEfficiency Analysis EngineReport CenterKey Energy-Use ManagementEnergy Baseline Library
AI Layer
Abnormal Energy-Use DetectionSaving-Strategy RecommendationEnergy-Trend ForecastLoad-Forecast ModelEfficiency Diagnostic Report
CORE CAPABILITIES

Core Capabilities

📡
Capability 1

Energy Monitoring

Full-factor, full-level real-time acquisition of energy data covering master meters, sub-meters, workshops, lines and key equipment; unified monitoring of electricity, water, gas and heat to eliminate data blind spots.

📊
Capability 2

Efficiency Analysis

Automatically computes efficiency indicators such as product unit consumption, per-area consumption and power factor, builds an efficiency baseline library, and identifies saving potential and abnormal use through multi-dimensional comparison.

🏭
Capability 3

Key Energy-Use Supervision

Dedicated supervision of key energy equipment and areas with energy thresholds and alarm rules; automatic alarm push on exceedance keeps critical equipment running efficiently.

📋
Capability 4

Energy Reports

Automatic daily/weekly/monthly/yearly energy reports with custom templates and scheduled push; real-time accurate data puts an end to manual meter reading and Excel.

🌱
Capability 5

Saving Strategies

The AI engine recommends energy-saving strategies from consumption data and operating conditions - load shifting, power-factor compensation, equipment start/stop optimization - with quantifiable tracking of savings.

⚠️
Capability 6

Abnormal Warning

Real-time monitoring of abnormal consumption fluctuations; AI identifies off-hours high consumption, low power factor and harmonic exceedance, warning in advance to prevent waste and equipment damage.

DATA LOOP

Data Loop

The complete data value chain: sense -> data -> AI -> warning -> control -> operation.

01Precise Sensing
02Data Acquisition
03AI Analysis
04Risk Warning
05Smart Control
10-20%Energy-Saving Rate
256Samples/Cycle
100%Report Automation Rate
2Power-Quality Dimensions
PRODUCT PORTFOLIO

Product Portfolio

⚡
Sensing Terminal

ESA Full-Factor Smart Meter

ESA-1001-R / 1002-R / 1003-R

Synchronous capture of voltage, current, power, power factor and 2nd-31st harmonics, 256 samples/cycle, 0.2-class accuracy, providing precise data for energy monitoring and efficiency analysis.

Full-Factor Acquisition256 Samples/Cycle0.2-Class Accuracy
📉
Power Quality

ESE Power-Quality Monitor

ESE Series

Real-time monitoring of voltage deviation, frequency deviation, three-phase unbalance, harmonic distortion and voltage dips to safeguard power quality and equipment safety.

Power QualityHarmonic AnalysisThree-Phase Unbalance
⚙️
Edge Computing

CW Edge Computing Gateway

CW Series

100+ protocol acquisition with 4G/Wi-Fi/Ethernet uplink, aggregating electricity, water, gas and heat meters with edge-computing local preprocessing.

Multi-Energy Acquisition100+ ProtocolsEdge Computing
🌐
Platform Software

FEXLINK Industrial Internet Platform

V1.0

An integrated platform for energy supervision, efficiency analysis, reporting and saving-strategy recommendation; private-cloud/on-premises deployment supports enterprise-grade refined energy management.

Energy SupervisionEfficiency AnalysisReport Center
CUSTOMER VALUE

Customer Value

Quantified, verifiable customer value.

📉

10-20% Lower Energy Consumption

Full-level monitoring and AI saving-strategy recommendations identify and eliminate high-energy nodes and abnormal use, cutting overall consumption 10-20% with quantifiable tracking.

Precise MonitoringAI SavingQuantified Results
📊

Efficiency Baseline Established

Automatic calculation of product unit consumption and per-area consumption builds the enterprise efficiency baseline library, providing scientific grounds for saving goals and assessment.

Unit ConsumptionBaseline LibrarySaving Goals
📋

Automated Reporting

Energy reports are generated and pushed automatically with real-time accurate data, eliminating manual meter reading and Excel with 90%+ higher energy-management efficiency.

Auto GenerationScheduled Push90%+ Efficiency
✅

Quantified Saving Results

Continuous before/after monitoring and comparison verify retrofit results with clear ROI evaluation, supporting continuous iteration and optimization.

Before/After ComparisonROI EvaluationContinuous Optimization
RELATED VERTICALS

Related Industry Verticals

Zap

Power Distribution Room Online Monitoring System

The power distribution room online monitoring system is a full-factor electrical safety and energy consumption sensing system for 10kV/0.4kV power distribution rooms, switching stations, box-type substations, and electrical rooms. Through sensing terminals such as smart meters, leakage current, temperature, arc fault, and neutral-to-ground voltage modules, combined with edge computing gateways and the FEXLINK Cloud platform, it delivers real-time visibility of distribution status, early warning of hidden hazards, refined energy management, and a closed loop of remote intelligent control.

Distribution Room MonitoringElectrical SafetySmart Power Distribution
→ Enter Vertical
BarChart3

Digital Energy & Energy Supervision Platform

The Digital Energy & Energy Supervision Platform is an integrated energy management system for key energy-consuming entities, industrial parks, commercial complexes, and government energy regulators. ESA all-element smart meters, ESE power quality monitors, and CW edge computing gateways collect data across electricity, water, gas, and heat. The platform integrates five core modules: Energy Supervision Center, Energy Efficiency Analysis Engine, Key Energy Consumption Management, Energy Report Center, and Energy-Saving Strategy Recommendations, making energy consumption measurable, efficiency benchmarkable, and savings quantifiable.

Energy SupervisionEnergy Consumption MonitoringKey Energy Consumption
→ Enter Vertical
FAQ

FAQ

The system supports unified monitoring of electricity, water, gas, heat and cooling. ESA Full-Factor Smart Meters capture electrical parameters, and CW Edge Computing Gateways access water, gas and heat meters for multi-energy aggregation and unified management. All data is displayed and analyzed on one platform with standard-coal conversion and total-energy calculation.
The AI engine identifies multiple saving opportunities: high off-hours consumption (equipment left on), low power factor (needs compensation), harmonic exceedance (needs mitigation), large unit-consumption gaps among similar equipment (inefficient units), and abnormal load curves (process optimization). It automatically generates diagnostic reports and strategy recommendations to precisely locate and eliminate high-energy nodes.
Daily/weekly/monthly/yearly reports are generated automatically in PDF, Excel and online dashboard formats, with custom templates organized by department, workshop, line or equipment. Delivery supports scheduled email, WeCom/DingTalk push and online viewing to keep stakeholders informed.
The system provides before/after comparison: an energy baseline is established before the retrofit, same-scope data is monitored continuously after, and savings and saving rates are computed automatically. Normalization (weather, production) keeps comparisons scientific and accurate; quantified results and clear ROI support subsequent investment decisions.