Smart electricity management — energy monitoring and optimization

IoT and big data for live monitoring, energy analysis, peak-and-valley optimization, and intelligent control, so organizations spend less, run more efficiently, and stay greener

Solution

Smart electricity management

This solution uses the Internet of Things, big data, and artificial intelligence. Smart meters and sensors collect electricity data as it is used. Big data analysis and AI then support fine-grained monitoring, intelligent management, and automatic control. Enterprises and institutions cut electricity cost, use power more efficiently, and move toward lower-carbon operations.

Core Value

Cost reduction by 25%

Optimize electricity structure to reduce expenses

Energy consumption reduction by 30%

Intelligent management to reduce energy waste

Efficiency increased by 40%

Intelligent scheduling optimizes electricity usage efficiency

Smart electricity management data analysis

Management pain points

What makes enterprise electricity hard to manage

High electricity cost

Peak and off-peak prices are underused, demand is poorly managed, and the bill stays high.

Serious energy waste

Equipment idles, standby draws power, and energy is used to no effect, so utilization stays low.

Data you cannot see

Usage data is hard to collect, so energy by zone and by machine cannot be counted accurately.

No real controls

Control is still manual, so energy saving cannot be automated and management stays slow.

Core Functions

Management and optimization across the electrical load

Live electricity monitoring

Monitoring by zone and by load type. Voltage, current, power, and consumption shown as they happen, with a warning when something is off.

  • By zone and by load
  • Live data
  • Abnormal-use warnings
  • History lookup

Energy analysis

Energy statistics from several angles, a forecast of use, an efficiency benchmark, and suggestions for saving.

  • Statistics from several angles
  • Use forecast
  • Efficiency benchmark
  • Saving suggestions

Peak and valley optimization

Peak and off-peak price analysis, intelligent load scheduling, and shifted use, so more load sits on the cheap hours.

  • Peak and off-peak prices
  • Intelligent load scheduling
  • Shifted use
  • Demand control

Device control

Remote control, timed switching, scene linkage, and automatic energy-saving operation.

  • Remote switching
  • Timed tasks
  • Scene linkage
  • Automatic energy saving

Bill management

Automatic meter reading and billing, bill generation, and cost allocation, with more than one tariff and settlement method.

  • Automatic reading and billing
  • Bills generated automatically
  • Cost allocation
  • Several tariff modes

Reports

Energy, analysis, and saving-assessment reports, including custom reports and a scheduled email.

  • Energy reports
  • Analysis reports
  • Custom reports
  • Scheduled email

Use Cases

The situations where electricity has to be managed

Manufacturing Enterprise

Manufacturing Enterprise

Refined Electricity Management of Production Lines

Commercial Building

Commercial Building

Intelligent Energy Saving of Building Equipment

Data Center

Data Center

Energy Consumption Optimization for High-Load Facilities

Manufacturing Enterprise

Refined Electricity Management for Factory Workshops

Scenario introduction

The electricity management system for manufacturing enterprises implements hierarchical and itemized metering and real-time monitoring for high-energy-consuming equipment such as production lines, air compressors, and injection molding machines in factory workshops. The system collects electricity consumption data from each production stage, analyzes equipment energy consumption patterns and electricity usage structure, and identifies areas of energy waste. Combined with production plans and electricity pricing policies, it intelligently schedules equipment operation periods, arranging high-energy-consuming production during off-peak electricity price periods, significantly reducing electricity costs. The energy efficiency benchmarking function compares with the advanced level of the industry, uncovers energy-saving potential, and promotes the enterprise's green and low-carbon development.

Pain points of the solution

High energy costs:Electricity expenses in manufacturing account for a large proportion of production costs, and there is a lack of effective means to reduce energy consumption
Unclear equipment energy efficiency:The actual energy consumption of each device is unknown, making it difficult to identify high-energy-consuming and inefficient equipment
Difficulty in peak-valley scheduling:Manual adjustment of production periods is inflexible, unable to fully utilize peak-valley electricity price differences
Blind energy-saving measures:Lack of data support, energy-saving upgrades are costly, slow to take effect, and effectiveness is uncertain

Technical Advantages

Detailed Sub-item Measurement

Graded measurement of production lines, workshops, and equipment to accurately grasp energy consumption distribution and trends

Peak-Valley Intelligent Scheduling

AI algorithms optimize production periods, high-energy-consuming equipment avoid peak and fill valley, reducing electricity cost by 25%

Abnormal Energy Consumption Warning

Real-time monitoring of equipment energy consumption, automatic alarm for abnormal increases, timely detection of potential equipment failures

Energy efficiency benchmarking analysis

Compare with industry energy efficiency benchmarks, identify energy-saving potential, and provide data support for technical renovation decisions

Commercial Building

Optimization of electricity use for buildings such as office buildings and shopping malls

Scenario introduction

The commercial building electricity management system integrates energy consumption data from building air conditioning, lighting, elevators, water supply, and drainage equipment to achieve centralized monitoring and intelligent control. The system automatically adjusts air conditioning operation parameters based on indoor and outdoor temperatures, occupancy density, weather forecasts, etc., achieving energy-saving operation while ensuring comfort. The lighting system uses schedules and light sensors to achieve on-demand lighting and automatic dimming. Elevator group control algorithms optimize scheduling to reduce empty trips and wait times. Multi-dimensional energy consumption analysis reports provide accurate references for property management and rent allocation.

Pain points of the solution

Excessive air conditioning energy consumption: Central air conditioning runs at full load all day and cannot adjust flexibly according to actual demand
Serious lighting waste:Public area lighting is unmanaged, often resulting in lights on during the day or lights off when people are present.
Inaccurate tenant billing:Electricity costs are shared based on building area, so tenants who use more electricity benefit unfairly.
Delayed equipment maintenance:Equipment is only repaired after a failure, affecting user experience and increasing maintenance costs.

Technical Advantages

Intelligent air conditioning control

Temperature and humidity sensor interaction, occupancy detection, AI algorithm optimization, 30% energy savings.

Lighting adjusted on demand

Light sensor automatic dimming, human body sensing control switch, timing strategy scene mode

Independent tenant metering

Each tenant has an independent electricity meter, real-time collection of electricity usage data, automatic generation of electricity bills

Predictive maintenance

Monitor equipment operating status, predict fault risks, arrange maintenance in advance to reduce losses

Medical institutions

Hospital electricity management and power supply reliability assurance

Scenario introduction

The electricity management system for medical institutions is designed to meet the characteristics of hospitals requiring 24-hour continuous operation and high power supply reliability, providing comprehensive energy management and safety assurance solutions. The system implements focused monitoring for key departments such as operating rooms, ICUs, and imaging departments, as well as large medical equipment like CT and MRI, ensuring stable power supply. Dual power source automatic switching and UPS backup power monitoring guarantee uninterrupted power for critical equipment. By analyzing energy consumption data of departments and equipment, the system optimizes the usage periods of medical devices, reducing operational costs while ensuring medical safety, and contributes to the construction of green hospitals.

Pain points of the solution

High demand for power supply reliability: Medical equipment cannot lose power; a blackout may endanger patients' lives.
High operational cost pressure: Hospitals have many devices with high energy consumption, and electricity expenses account for a significant proportion of operating costs.
Inaccurate departmental billing: Unable to accurately calculate each department's energy consumption, making internal cost accounting and assessment difficult.
Blind equipment maintenance: Unclear about equipment operating conditions, resulting in unreasonable maintenance plans that affect medical services.

Technical Advantages

Reliable Power Supply Guarantee

Dual power supply monitoring, automatic switching, UPS status monitoring, ensuring uninterrupted power supply for critical equipment

Medical Equipment Monitoring

Large medical equipment energy consumption monitoring, usage frequency statistics, optimizing equipment configuration and scheduling

Departmental Sub-Metering

Each department independently measures, accurately accounting for costs, providing data support for performance evaluation

Energy consumption structure analysis

Analyze the proportion of energy consumption by air conditioning, lighting, medical equipment, etc., to identify key energy-saving directions

Campus management

Sub-metering management of electricity usage in school teaching buildings, dormitories, and canteen areas

Scenario introduction

The campus electricity management system implements sub-metering and refined management for different functional buildings such as teaching buildings, laboratory buildings, dormitories, cafeterias, libraries, and gymnasiums. The system automatically controls electricity use in classrooms and dormitories based on class schedules and work/rest times, avoiding waste from lights and air conditioners being left on unnecessarily. High-power kitchen equipment in the cafeteria is used in staggered times to reduce peak demand. During summer and winter vacations, the electricity usage strategy is automatically adjusted, and power supply to unoccupied areas is shut off. The system provides energy consumption data to each secondary college and logistics department, establishes an energy assessment mechanism, promotes the construction of energy-saving campuses, and alleviates the school's financial pressure.

Pain points of the solution

Weak student awareness of energy saving:Students leave lights and air conditioners on when leaving classrooms or dormitories, causing serious energy waste
Energy waste during holidays:During winter and summer vacations, students leave school while some areas still receive normal power supply, leading to electricity cost waste
Unclear departmental energy consumption:Energy consumption of each college and department cannot be accurately calculated, lacking incentives for energy saving
High financial pressure:The school's electricity expenses increase year by year, school funding is tight, and there is an urgent need to save energy and reduce costs

Technical Advantages

Timed automatic control

According to the class schedule and routine, the classroom and dormitory lights and air conditioners are switched on and off at regular times to eliminate ineffective energy consumption.

Holiday Energy-Saving Mode

Automatically switch to energy-saving mode during winter and summer vacations, cut off power supply in unoccupied areas, and save 30% on electricity bills.

Departmental Sub-Metering

Each college and department meters independently, energy consumption data is transparent and publicly available, and an assessment and reward/punishment mechanism is established.

Energy-saving education and promotion

Energy consumption dashboard display, conduct energy-saving competitions, cultivate energy-saving awareness among teachers and students

Hotel Management

Electricity management for guest rooms, dining, conferences, and other areas

Scenario introduction

The hotel electricity management system implements intelligent energy consumption management and control for different areas and business types such as guest rooms, dining, conferences, fitness, and swimming pools. The power switch in guest rooms is linked with the access control, automatically cutting off power when guests leave to prevent air conditioner idling. The power supply strategy for each floor is dynamically adjusted according to the occupancy rate, reducing energy consumption for vacant floors. Kitchen equipment is centrally monitored, optimizing usage time to reduce demand charges. Conference rooms have air conditioning turned on in advance based on reservations and automatically turned off afterward. The swimming pool water circulation system is intelligently controlled, operating at low speed at night to save energy. Refined management reduces hotel operating costs, enhances profit margins, and improves market competitiveness.

Pain points of the solution

Guest room energy wastage:Guests leave the air conditioning on when going out, causing long-term idling of the room, resulting in severe electricity waste
Large fluctuations in occupancy rate:Significant differences in occupancy between peak and off-peak seasons, weekdays and weekends, making energy management strategies difficult to adjust
High kitchen energy consumption:Many high-power kitchen appliances, electricity consumption peaks overlap with dining peaks, resulting in high demand charges
Operational cost pressure:Rising costs of labor, rent, energy, etc., compressing profit margins and making operation difficult

Technical Advantages

Electric switch linkage

Card-controlled electricity, automatic power-off when guests leave, reducing guest room air conditioning waste by 80%

Dynamic occupancy rate control

Adjust floor power supply based on occupancy; reduce energy consumption on vacant floors; save 40% energy in off-season

Kitchen Equipment Scheduling

Optimize the start-up sequence of kitchen equipment, use off-peak operation, reduce peak demand by 15%

Smart Pool Control

Water circulation system runs with time-based frequency conversion; low-speed mode at night; save 25% energy

Warehousing and Logistics

Intelligent management of lighting, air conditioning, and equipment in warehouses and logistics centers

Scenario introduction

The warehouse and logistics power management system provides intelligent energy solutions for modern logistics parks and warehouse centers. The system implements centralized monitoring and optimized control for facilities such as warehouse lighting, air conditioning and ventilation, conveyor lines, sorting equipment, and forklift charging. The lighting system uses zoned control combined with human motion and illuminance sensors to achieve on-demand lighting. Temperature-controlled warehouses intelligently adjust air conditioning operating parameters according to the type of goods and outdoor temperature. Conveyor lines and sorting equipment dynamically adjust operating speed and number of units based on order volume. Forklift charging is guided to occur during off-peak electricity pricing periods. Intelligent management significantly reduces logistics operating costs and enhances enterprise competitiveness.

Pain points of the solution

High lighting energy consumption:Large warehouses have a large area and many lighting fixtures, resulting in high electricity bills for 24-hour illumination
Rough air conditioning management:Temperature-controlled warehouses run air conditioners at full load all day, leading to low energy efficiency and serious waste
Low equipment utilization:Conveyor and sorting equipment operate fully regardless of order volume, wasting electricity during idle operation
High charging costs:Forklifts charge during daytime peak electricity rates, resulting in high charging expenses and increased operating costs

Technical Advantages

Smart Lighting Control

Zoning + Human Body Sensing + Light Intensity Sensing, Lighting on Demand, Reduce Lighting Electricity Cost by 50%

Precise Temperature Control

Intelligent Adjustment According to Cargo Requirements and Ambient Temperature, Reduce Air Conditioning Energy Consumption by 30%

Equipment Starts on Demand

Intelligently schedule the number and speed of equipment based on order volume to avoid idle waste

Staggered charging for forklifts

Guide charging during nighttime off-peak hours, reducing charging costs by 40% and extending battery life

Solution advantages

Leading technical strength and service capability

Precise Analysis

Multi-dimensional data analysis, accurately pinpointing energy waste points

Intelligent Optimization

AI algorithms automatically generate energy-saving strategies, continuously optimizing

Rapid Deployment

Modular design, plug-and-play, deployment completed within 1 week

Quick return on investment

Recover costs in an average of 6-12 months through energy saving and fee reduction

Green and low-carbon

Contribute to carbon peak and carbon neutrality, achieving sustainable development

Open platform

Standard API interfaces, easily integrate with third-party systems

Technical architecture

Advanced intelligent electricity management technology system

Intelligent electricity management system architecture

Layered decoupled architecture

Adopting a cloud-edge-end collaborative architecture design to achieve efficient cooperation in data collection, edge computing, and cloud analysis. Supports access for millions of devices, PB-level data storage, and second-level data response.

1
Perception Layer

Smart meters accurately collect electricity usage data

2
Network Layer

Multi-protocol communication for secure and reliable transmission

3
Platform Layer

Big Data Analysis to Optimize Electricity Usage Strategies

4
Application Layer

Multi-Scenario Intelligent Management Applications

Core Technology Stack

Application layer

Power Management Platform
Mobile Management APP
Data Visualization Dashboard
Reporting and Statistics System

Platform Layer

Energy Consumption Analysis Engine
AI Optimization Algorithm
Load Forecasting Model
Big Data Processing Platform

Network Layer

4G/5G Wireless Communication
Power line carrier communication
Ethernet communication
RS485 bus

Perception layer

Smart Electricity Meter
Current Transformer
Smart Circuit Breaker
Environmental Sensors

Core Products

Complete Integrated Hardware and Software Solutions

Smart Electricity Meter

Smart Electricity Meter

High-precision electricity collection, supports remote meter reading

Current Transformer

Current Transformer

Non-intrusive installation, 0.2 level measurement accuracy

Intelligent control terminal

Intelligent control terminal

Remote switch control, scheduled task management

Energy consumption management platform

Energy consumption management platform

Data Analysis Reports, Energy-saving Strategy Recommendations

Success Cases

Industry-leading Smart Electricity Management Implementation Experience

Benchmark Cases

A Large Manufacturing Enterprise
Smart Electricity Management Project

Deploy an intelligent electricity management system for a manufacturing enterprise covering 150 acres, including 8 workshops and 2,000 electricity monitoring points. Through refined management, peak-valley optimization, and intelligent control, electricity costs are significantly reduced, and energy efficiency levels are improved.

Significant Cost Reduction

Annual electricity cost savings exceed 2 million yuan

Green and Environmentally Friendly

Annual carbon emission reduction of about 500 tons

Intelligent Operation and Maintenance

Equipment automation control rate reaches 95%

Energy consumption management data dashboard
Data Analysis
28%
Reduction in electricity costs
32%
Decrease in overall energy consumption
18%
Peak load reduction
95%
Equipment automation rate

Related knowledge resources

In-depth understanding of the technical principles and industry applications of power management

Power Management Knowledge Base

In-depth understanding of the technical architecture, application scenarios, and implementation paths of power management

Technical Support

Obtain professional technical consulting and project implementation support services

Customer Benefits

The tangible benefits brought by intelligent electricity management

25%
Reduction in electricity costs
30%
Lower overall energy use
40%
Higher management efficiency
6-12 months
Payback

Open a new chapter in smart electricity management

Our specialists will design a smart electricity management solution for your site.