The industrial energy management platform provides basic data for enterprises to strengthen energy management, improve energy utilization efficiency

1.
Introduction to Industrial Energy Cloud Platform Ankerui Enterprise Energy Management Platform adopts automation, information technology and centralized management mode to implement centralized and flat dynamic monitoring and data management of the production, transmission and distribution and consumption links of enterprises, monitor the consumption of various types of energy such as electricity, water, gas, steam and compressed air, and help enterprises to meet various energy needs and energy consumption, energy quality, product energy unit consumption, energy consumption of each process, etc.
Through data analysis, mining and trend analysis, help enterprises to meet various energy needs and energy consumption, energy quality, product energy consumption, energy consumption of each process, Energy utilization of major energy consumption equipment is carried out energy consumption statistics, year-on-year analysis, energy cost analysis, energy consumption forecasting, carbon emission analysis, etc.
, to provide basic data and support
for enterprises to strengthen energy management, improve energy utilization efficiency, tap energy saving potential, and energy conservation assessment.

2, industrial energy cloud platform application sites steel, petrochemical, metallurgy, non-ferrous metals, mining, medicine, cement, coal, logistics, railway, aviation industry, wood, chemical raw materials and mechanical and electrical equipment, electrical products, tools manufacturing, etc
.

3, industrial energy cloud platform structure schematic 4, the main functions of the industrial energy cloud platform (1) visual display display of the total amount of energy consumption of enterprises, discount value, energy costs, energy consumption trends, sub-energy consumption proportion, regional energy consumption comparison, as well as the current weather conditions, pollution situation, and three-dimensional display of the energy consumption dynamics
of important processes or sections of the enterprise.

(2) Real-time monitoring Real-time monitoring of energy use, alarms and other conditions at various points of the enterprise
.

So that enterprise users can monitor the operation of each point in real time, and at the same time, they can grasp the alarm
of the point more quickly.

(3) Transformer monitoring Shows the load of each voltage device, so that it can be scientifically and reasonably planned
for the transformer configuration.

Through the comparative analysis of power efficiency under various operating parameters, the best operating mode
is found.

Adjust the load according to the preferred operating mode, thereby reducing the single consumption of electricity and reducing
the loss of power.

(4) Energy statistics From the dimensions of energy use type, monitoring area, production process/working period, sub-itemization, etc.
, the use of curves, pie charts, histograms, accumulation charts, digital tables and other ways to use the enterprise energy statistics, year-on-year, chain analysis, performance analysis, discount comparison, product energy consumption, output value energy consumption statistics, to find out the loopholes and unreasonable places in the energy use process, so as to adjust the energy distribution strategy and reduce waste
in the energy use process。
(5) Product/output value unit consumption Docking with the enterprise MES system, through the product output and energy consumption data collected by the system, the product unit consumption trend chart is generated in the product unit consumption, and the year-on-year and month-on-month analysis
is carried out.

So that enterprises can adjust the production process according to the product consumption situation, thereby reducing energy consumption
.

(6) Performance analysis For all kinds of energy use, consumption, conversion, according to the team, region, production line, section, etc.
, daily, weekly, monthly, annual, period performance statistics according to the energy plan or quota of the performance indicators for KPI comparison assessment, to help enterprises understand the internal energy efficiency level and energy saving potential
.

(7) Energy consumption prediction Through the analysis of the energy consumption usage of the production process and production equipment of the enterprise, the energy consumption calculation model is established, the data and model are corrected according to the artificial intelligence algorithm, and the future energy consumption trend of the enterprise is predicted and analyzed, so as to provide an effective decision-making basis
for energy conservation.

(8) Operation monitoring System to the area, section, equipment energy consumption data collection, monitoring of key equipment and process operating status, such as temperature, humidity, flow, pressure, speed, etc.
, and support the substation system one-time operation monitoring
.

You can quickly browse the managed energy consumption data directly from the dynamic monitoring plan, and support query the relevant energy consumption by energy type, workshop, section, time and other dimensions
.

(9) Analysis report Statistical analysis of the company's energy utilization, line loss, equipment operation, operation and maintenance, etc.
in the year, month and day, so that users can understand the operation of the system, and provide users with a data basis, so that users can find equipment abnormalities, so as to find out the improvement points, and tap the energy-saving potential
for energy consumption.

(11) Event alarm Continuously monitor the operation of equipment and systems, alarm communication failures, data abnormalities, quota overruns, abnormal process parameters, abnormal equipment or failures, remind enterprises to pay attention to and find problems, and form an alarm log
.

(12) Mobile terminal support APP support Android, iOS operating system, convenient for users to grasp the enterprise energy consumption, efficiency analysis, year-on-year analysis, energy consumption discounting, energy forecasting, operation monitoring, abnormal alarms and so on according to different dimensions of energy classification, region, workshop, process, team, equipment, etc
.