Customer Cases of Energy Remote Monitoring

2024-03-06

Customer Cases of Energy Remote Monitoring


1、 Customer Introduction

A certain energy-saving technology limited company is a national high-tech enterprise specializing in energy-saving technology, development and application of energy-saving and environmental protection products, online monitoring, enterprise energy-saving consultation, diagnosis, design, renovation, and enterprise energy planning. At the same time, the company has formed strategic partnerships with multiple higher education institutions and research institutes in Guangdong, providing specialized services to enterprises. It has a strong technical support and a professional and efficient research and development team.

Applying the Internet of Things cloud platform to enterprise energy efficiency and intelligent control management, multiple technologies and product series such as water pump deep energy-saving controller, water pump deep energy-saving control system, central air conditioning energy-saving control system, air compressor constant pressure energy-saving control system, injection molding machine overall energy-saving control system, electromagnetic heating control system, active harmonic filtering compensation, etc. are widely applied in machinery, textile, chemical, metallurgical, mining, pharmaceutical, ceramics, etc Multiple fields such as papermaking, oil fields, plastics, printing, thermal power, and food have reduced costs and increased efficiency for enterprises, creating significant economic and social benefits for society.

2、 The difficulties faced by customers

1. Most existing enterprises still adopt a "separate planning, design, and operation" model for various energy supply systems such as electricity, water, gas, cooling, and heating. There is a common problem of insufficient equipment detected in metrology detection; Measurement equipment has low measurement accuracy and inaccurate measurement data

2. Manually copying data from electricity and water meters is time-consuming, laborious, untimely, and inaccurate.

3. Manually querying reports is time-consuming, inefficient, data comparison is not intuitive, trends are not obvious, and reference value is low.

4. Equipment damage warranty, delayed discovery, lack of tracking of repair services, untimely feedback, and low efficiency.

5. Under a large time span, the difficulty of energy consumption analysis increases, energy consumption prediction becomes more difficult, and line losses become more difficult to calculate.

6. Product unit consumption and energy consumption cost often only have statistics from the factory level to the workshop level, which cannot be refined into processes, processes, equipment, etc. It is impossible to analyze the production status between various processes, processes, and equipment, and provide support for production, energy conservation, and emission reduction, in order to analyze optimal solutions.

7. Lack of big data reference makes it difficult to conduct energy consumption analysis on factories, workshops, processes, etc., thus making it impossible to set energy consumption benchmarks for each factory, workshop, process, etc., and achieving energy consumption assessment difficult.

8. After implementing energy-saving measures, the comparison analysis before and after energy-saving is not timely, and the energy-saving effect cannot be known in a timely manner.

9. Unable to calculate energy losses, and in the absence of real-time data, unable to detect abnormal energy losses in a timely manner, such as electricity theft, water leakage, and other abnormal situations, resulting in energy losses.

10. Lack of an effective enterprise energy efficiency evaluation index system and difficulty in implementing energy consumption management measures


3、 Solution

Plan:

It mainly uses various kinds of edge computing hardware of Bluebee as the acquisition, calculation and processing unit at the edge of the equipment to realize the data docking cloud platform of energy monitoring equipment terminals such as electricity meters, gas meters, PLC touch screens, etc., to realize data networking, data analysis functions, etc.


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(1) Remote monitoring

Real time collection of operational data for electricity meters, gas meters, and various equipment in various production and office processes. It can calculate, analyze, and record the energy usage of each device and link in real-time, and achieve the function of automatic meter reading data integration calculation and analysis.

(2) Cloud configuration screen

Say goodbye to the traditional digital chart intensive monitoring interface. By dragging and binding controls and data, energy monitoring and analysis can be displayed on a large screen. It can be viewed remotely on a PC or mobile phone, allowing for intuitive visualization of factory energy usage anytime and anywhere. Through data statistics and integration analysis, it can provide a basis for decision-making, better achieving the goal of cost reduction and efficiency improvement.


                                                       

(3) Remote alarm

The gateway can monitor various data of the energy system and production system 24 hours a day. When the system detects electrical parameters, production equipment malfunctions, or abnormal situations, as well as situations where the monitored data differs significantly from the set values, the gateway will promptly notify the responsible person through various methods (telephone voice, SMS, message push, webpage voice, etc.). In order for management personnel to timely grasp the relevant situation and dynamics and make corresponding adjustments.

4、 Value

Through the EMCP IoT cloud platform, adopting automation control and IoT technology, the entire process of energy data collection, process monitoring, energy medium consumption analysis, energy consumption management, and other processes can be automated, refined, efficient, and scientifically managed. This enables the organic integration of energy management, energy production, and usage throughout the entire process, and utilizes scientific big data processing and analysis technology for online production analysis and management, Realize unified scheduling of the entire energy system, optimize energy medium balance, maximize efficient utilization of energy, improve energy quality, reduce energy consumption, and achieve the goal of energy conservation and overall energy management level.


(On site diagram)




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