Integradong Smart Power Monitoring ug Energy Efficiency Management Solution

13yrs + staff 30000+m² US$100,000,000+ China

Overview

Ania nga solusyon naglakip og usa ka maayo nga sistema sa pag-monitor sa kuryente (Power Management System, PMS) nga nakentro sa end-to-end na optimisasyon sa mga resources sa kuryente. Pinaagi sa pagbuhat og usa ka closed-loop management framework sa "monitoring-analysis-decision-execution," makatabang kini sa mga kompanya mula sa simpleng paggamit sa kuryente hangtod sa maayo nga pag-manage sa kuryente, sukad pa sa pag-achieve sa safe, maayo, low-carbon, ug ekonomikal nga paggamit sa energy.

Core Positioning

Ang core positioning sa sistema mao ang pagsilbi isip usa ka enterprise-level power energy "brain."
Dili lang kini usa ka dashboard sa pag-monitor apan usa ka integrated optimization platform nga may real-time perception, in-depth analysis, intelligent decision-making, ug automated control. Ang iyang core value mao ang pag-bridge sa data flow ug business operations, pag-form og usa ka management closed loop nga mogtransform sa power data ngadto sa actionable optimization strategies, direkta nga supportive sa corporate cost reduction, efficiency improvement, ug carbon management.

Technical Architecture: Layered Distributed Architecture

Ginamit niining sistema ang advanced layered distributed technical architecture aron masiguro ang reliability, scalability, ug ease of maintenance.

Perception and Execution Layer (Device Layer):

Nag-integrate sa daghang smart meters, power sensors, temperature sensors, IoT gateways, ug uban pa, aron mokompleto ang pag-collect sa key data sama sa voltage, current, power, power factor, ug power quality.
Nag-deploy og edge computing nodes para sa localized data preprocessing, protocol conversion, ug logic control, naga-reduce sa cloud workload ug nag-improve sa real-time responsiveness.

Network Communication Layer:

Ginamit ang hybrid networking approach nga nag-combine sa wired (industrial Ethernet) ug wireless (4G/5G, LoRa, WiFi) technologies aron masiguro ang stable ug secure data transmission tali sa mga device sa perception layer ug platform layer.

Platform Layer (Brain and Core):

Data Hub: Built-in time-series database para sa pag-store, pag-manage, ug efficient querying sa massive power data.
Analysis Engine: Features a core power flow analysis engine integrated with AI algorithms for advanced functions such as load forecasting, peak-valley adjustment, demand response (DR), and energy efficiency analysis.
Carbon Emission Factor Database: Includes officially recognized and internationally accredited carbon emission factors to ensure accurate carbon accounting.

Application Layer:

Naghatag og interactive interfaces pinaagi sa web ug mobile apps, presenting data value intuitively sa users sa management, operations, ug maintenance pinaagi sa visual dashboards, reports, ug uban pa.

Typical Functional Modules

4.1 Panoramic Monitoring and Safety Warning

Real-time monitoring sa power usage data sa tanang planta, workshop, production lines, ug key equipment.
Real-time diagnosis ug early warning sa potential safety hazards sama sa transformer temperature anomalies, overheated cable connections, ug electrical islanding.
Power quality monitoring (e.g., harmonics, voltage sags/swells) aron masiguro ang stable operation sa sensitive equipment.

4.2 Intelligent Analysis and Optimization (Core Value Module)

Dynamic Load Allocation: Ang sistema nag-integrate sa real-time electricity price signals ug gamiton ang algorithms aron mobuo og optimal production scheduling suggestions o directly control adjustable loads (e.g., air conditioners, air compressors, charging piles). Naga-shift gihapon sa high-energy-consumption equipment operation sa off-peak hours, naga-reduce sa electricity costs.
Energy Efficiency Benchmarking Analysis: Establishes enterprise-specific energy efficiency baselines (KPIs) ug compare sila sa industry benchmarks aron identify energy consumption anomalies ug energy-saving opportunities, generating diagnostic reports.
Load Forecasting and Demand Response: Accurately predicts short-term load based on historical data ug factors like weather. Automatically or manually participates in grid demand response events by reducing specific loads to generate revenue.

4.3 Carbon Emission Management Module

Automated Carbon Accounting: Integrates a carbon emission factor database to automatically generate carbon footprint reports for enterprises or products based on collected data of electricity, gas, water, coal, and other energy consumption, meeting compliance disclosure requirements.
Carbon Emission Trend Analysis: Visualizes trends in total carbon emissions and emission intensity, providing data support for developing carbon reduction pathways.

4.4 Comprehensive Reporting and Management

Automatically generates daily, weekly, monthly, and annual reports on electricity usage, billing, energy savings, and carbon emissions, supporting one-click export to significantly reduce manual workload.

Application Scenarios

Energy-Intensive Manufacturing (e.g., steel, chemicals, metallurgy, automotive):

Precisely monitors large energy-consuming equipment such as furnaces, rolling mills, and air compressor stations, achieving significant energy savings through process optimization and load adjustment.
Electricity costs are a major expense, making peak-valley adjustment highly cost-effective.

Data Centers:

Monitors power usage efficiency (PUE) of key facilities such as IT equipment, cooling systems (precision air conditioning), and UPS.
Continuously optimizes PUE by dynamically adjusting cooling strategies and IT loads, reducing operational costs.

Commercial Complexes/Large Public Buildings:

Implements sub-metering and intelligent control of HVAC, lighting, elevators, parking systems, etc.
Enables on-demand supply of air conditioning and lighting based on passenger flow and environmental parameters, improving energy efficiency and comfort.

Core Advantages

Closed-Loop Intelligence: Focuses not only on "monitoring" but also on "analysis" and "control," forming a management closed loop to fully unleash data value.
Precise Cost Reduction: Directly reduces electricity costs through load forecasting and peak-valley adjustment.
Proactive Safety: Identifies electrical hazards in advance, shifting from "reactive maintenance" to "proactive warning" to ensure production safety.
Low-Carbon Compliance: Provides a one-stop solution for carbon accounting and management, supporting green and sustainable development.
High Scalability: The layered distributed architecture allows flexible expansion of monitoring points and functional modules based on business needs.