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Demand Pain Point

Great policy pressure

To achieve carbon peak and carbon neutrality is a major development decision in China. With the proposal of China's "double carbon" goal, higher requirements are put forward for accurate control of carbon emissions, and enterprises are promoted to save energy and reduce carbon.

High energy cost

Enterprise energy equipment is numerous, energy consumption data is not comprehensive, energy consumption of energy use equipment is difficult to evaluate, high energy consumption, energy expenditure costs are uncontrollable.

Difficulty of energy saving optimization

Energy saving measures are limited, there is no energy efficiency evaluation model, lack of data support, can not scientifically establish energy saving programs, energy saving optimization is difficult, and input and output are not proportional

Imperfect management

Energy management system is not perfect, lack of professional energy management system or energy management system intelligence level is low, lack of fine management

Platform Introduction

The energy consumption monitoring and energy-saving platform is based on the decentralized nature of the energy system and the centralized requirements of energy management. It collects and analyzes various energy data such as water, electricity, heat, and gas, and integrates functions such as equipment supervision, energy consumption monitoring, energy efficiency analysis, and energy control. It achieves refined energy management for enterprises, empowers them to save energy and carbon, and helps customers reduce costs and increase efficiency. Support multiple energy consumption scenarios such as factories, parks, residential areas, electricity, buildings, public facilities, etc.

Platform Function

Equipment management

Provide an edge gateway to realize the full connection of devices, enable a large number of devices to access the cloud, gather massive data, timely alarm device faults and data anomalies, analyze device running status, and realize the whole life cycle management of devices based on the device maintenance model.

Energy consumption monitoring

Comprehensive visual monitoring of energy consumption, grasp the latest data of energy consumption, data-driven energy management, to achieve fine energy use, reduce energy consumption, safety and efficiency.

Energy efficiency analysis

Multi-dimensional data analysis and statistics of energy consumption and income data, and visual display; Find energy consumption optimization points, adjust energy distribution strategies, reduce energy waste, and improve energy conversion efficiency.

Intelligent prediction

Construct enterprise energy consumption model, use big data algorithm to adapt and adjust, predict and analyze energy consumption trend, provide effective decision-making basis for energy conservation, and guide the operation optimization of energy system.

Energy saving optimization

Intelligent analysis, intelligent diagnosis, real-time energy-saving optimization, the construction of targeted and operational energy-saving countermeasures, the establishment of scientific energy-saving programs, so as to achieve energy saving and consumption reduction.

Efficient management

Help users to classify, analyze and process massive energy data, efficient operation and maintenance management, build a digital, transparent and dynamic energy management system, and improve energy management capabilities.

Platform Advantage

Rapid deployment

Support rapid deployment and rapid access to energy management data to help customers build digital energy management systems.

High scalability

With flexible development and scalability, to meet the different needs of enterprises, function modules expand as needed

Strong fit

Help different enterprises to build enterprise-specific models, provide reliable decision support for lean energy management, and enable enterprises to achieve energy saving and consumption reduction goals.

Reduce costs and increase efficiency

Provide intelligent analysis solutions, scenario-based data analysis and diagnosis, form a closed loop of energy optimization, improve energy management capabilities, and help enterprises reduce costs and increase efficiency.

Application Cases