Shandong Jerei Digital Technology Co., Ltd.

Enterprise-level Green Energy Management

We can achieve precise control through the intelligent energy management system which consists of an intelligent energy data acquisition hub. Utilizing a multi-dimensional deep analysis engine to dig data value, and relying on a smart decision-making engine to provide forward-looking guidance, along with an AI energy efficiency optimization engine to achieve energy savings and consumption reduction, and leveraging the carbon neutrality and carbon peaking strategy management platform, we can drive enterprises towards a new stage of green, low-carbon, and efficient development, achieving a win-win situation for both economic and environmental benefits.

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Enterprise-Level Green Energy Management

Current Situation Analysis

Helping enterprises strengthen energy management, reduce consumption, improve efficiency, and ensure safe and stable operations.

Data Collection and Monitoring

The energy data collection technology and monitoring systems are continuously improving, but there are still issues such as unstable data quality and insufficient collection accuracy, which affect the precision and timeliness of energy management.

Energy Management and Optimization

The energy control systems are widely used, and optimization methods are becoming more diverse, but due to low system integration and insufficient synergy, the overall benefits of enterprise energy management have not yet been fully realized.

Data Analysis and Decision Making

Although data analysis techniques are continuously improving and decision support tools are becoming increasingly diverse, professional analytical talents are still in shortage, making it difficult for enterprises to deeply harness the value of energy data, which limits the scientific and forward-looking nature of energy decision-making.

Energy conservation, consumption reduction, and efficiency

Though green energy management helps enterprises achieve significant energy savings and gain both economic and environmental benefits, its ongoing promotion still faces challenges such as insufficient strategic planning and pressure on financial investment.

Value Empowerment

With smart energy management, we can achieve reduction in consumption, cost savings, lower costs, and increased safety.

Energy consumption significantly reduced by 10%~20%

Overall energy consumption in the plant decreases, and realizes the smart energy management goals of high efficiency and capacity, balanced energy supply and consumption, and energy saving.
Effective reduction of cost by 15%~30%

By leveraging a multi-dimensional energy analysis engine, we can deeply dig data value, promote improvements in energy efficiency across the entire chain, and realize significant cost savings.
Human cost reduced by 35%~55%

With smart energy decision-making and AI energy efficiency optimization engines, we can accurately predict equipment failures and achieve smart operation and maintenance management during the entire lifecycle, and meanwhile reduce labor input.
Energy safety and reliability improved by 100%

The unplanned downtime or incident (failure) downtime of the energy system is greatly shortened throughout the year, ensuring continuous and stable energy supply.

Smart Electric Meter

PMC-680D: Computer-Quality Digital Online Monitoring Device
iMeter D7: Power Supply and Distribution Abnormal Information Capture and Fault Diagnosis Analysis Device
iMeter 6: Power Supply and Distribution Abnormal Information Capture and Fault Diagnosis Analysis Device
PMC-S963 Series: Three-phase Digital Multifunction Measuring and Controlling Electric Meter
Samrt Water Meter

Liquid Turbine: applicable to non-conductive liquids, high pressure resistance, high cost.
Ultrasonic Flowmeter: Non-contact measurement, high precision, applicable to various fluids, no pressure loss.
Mechanical Water Meter: Used for tap water measurement, low cost, minimum data collection unit 0.1m³.
Electromagnetic Flowmeter: Applicable to sewage with impurities, higher actuated flow rates, available in high precision models.
Smart Gas Meter

Gas Turbine/lobe rotor: Very low actuated flow rate with high accuracy; high pressure resistance, and high cost.
Vortex Flow Meter: It is widely used and can be made in large sizes; featuring slightly lower accuracy, and lower cost, applicable to steam measurement.
Thermal Mass Flow Meter: It is cheaper than vortex meters, and cannot measure moisture-laden (easily condensable) gases, but can directly measure standard flow rate.
Target Flow Meter: Featuring high pressure resistance, it can measure media with suspended solids like sediment.
Smart Gateway

Data Collection and Transmission: It supports various industrial protocols, and can collect data from multiple types of devices, and transmit it to the platform via wired or wireless networks.
Protocol Conversion: It can convert the communication protocols of different devices into a unified format, which resolves the compatibility issue and enables seamless communication between devices.
Edge Computing: It can perform data preprocessing and analysis at the edge, and extract key information, which reduces data transmission and cloud burden, and enhances real-time processing.
Remote Management and Control: It supports remote monitoring, configuration, debugging, and maintenance of devices, which improves operational efficiency and reduces labor costs.
Security Protection: with security features such as data encryption, identity authentication, and access control, it prevents data leaks and attacks, and ensures system security and stability.
Smart Rainfall Monitoring Station

Environmental Visualization: It is an autonomous video solution that can be shared by multiple users, which enables inspection of the on-site environment in real time, and facilitates remote command.
Reliable Data: the authenticity of precipitation data can be verified through the on-site videos, and the tipping bucket can be monitored in real time with the internal camera in case of blockage.
Convenient Deployment: Integrated design for easy installation, and on-site deployment can be implemented at any time, with automatic rebooting function.
On-site Early Warning: The device is equipped with scalable terminals that can be deployed in conjunction with on-site warning equipment for evacuation alerts.
Remote Maintenance: The device is configured with multiple posture sensors to monitor its operational status in real time, with no need for on-site verification.
Scenario Interaction: The cameras can interact with the sensors on the devices, so that video materials at preset thresholds can be retained.

Core Functions

Achieving intelligent decision-making for energy saving and carbon reduction through comprehensive management.

Intelligent Data Collection Hub

It accurately collects the real-time operational data from various energy equipment in the enterprise, covering electricity, water, gas, etc., which provides a solid foundation for subsequent management.

Intelligent Energy Management

Based on preset rules and real-time data, the allocation and usage of energy can be automatically and finely adjusted to achieve on-demand of energy supply and reasonable distribution, which avoids waste of energy and ensures the stability and efficiency of energy supply for enterprises.

Multidimensional Data Analysis

By using advanced data analysis technology, we can deeply dig and analyze the collected data from multiple dimensions such as time, space, equipment, and types of energy, which can reveal the patterns, trends, and potential issues of energy usage, and provide detailed evidence for enterprises to make energy management decisions.

Intelligent Decision-Making Engine

Based on the results of multi-dimensional deep analysis, combined with the company's development strategy and energy goals, it facilitates the formulation of scientific and forward-looking energy management strategies and decision-making plans for enterprises by using intelligent algorithms and models, helping them realize maximum energy efficiency.

AI Energy Efficiency Optimization

Utilizing artificial intelligence technology, it monitors and intelligently analyzes equipment operation status and energy efficiency in real time. Based on massive data and the AI algorithms, it precisely predict energy demand, automatically adjusts the start-stop and load-unload of air compressors, and optimizes the operation strategy of air conditioning.

Carbon Strategy Management

To fulfill the country’s carbon emissions goals, establish a carbon emission monitoring and management system, conduct precise accounting and tracking of carbon emission data of the enterprise, and formulate reasonable carbon reduction pathways and measures, so as to encourage enterprises to actively fulfill their carbon reduction responsibilities and help them achieve green, low-carbon transformation and sustainable development.

Customer Success Stories

行业资讯

快速了解行业动态、把握市场趋势

Enterprise-Level Green Energy Management

Current Situation Analysis

Value Empowerment

Core Functions

行业资讯

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