The energy consumption monitoring system is for the control of power consumption, water consumption, gas consumption (natural gas or gas), centralized heating consumption centralized cooling consumption, and other energy applications, and can be used for the automatic collection of energy consumption data, centralized monitoring, and big data analysis to meet the real-time monitoring of the whole process of enterprise energy supply and consumption, to strengthen the intensive management of enterprise energy, and to improve the efficiency of energy utilization.

"Dual carbon" to promote the rapid current, most of the enterprises are distributed in large numbers, the distribution of a wide range, so if the traditional collection mode, can not be done in a short period of time to collect the energy consumption data of a number of enterprises, most of the data obtained by the delayed nature of the acquisition, unable to obtain accurate energy consumption. The goal of "dual-control energy consumption" is to promote the safe and efficient use of energy in a clean and low-carbon manner, and to promote the adjustment and upgrading of the industrial structure and energy structure of some high-energy-consuming industries.

For each energy consumption into the classification, sub-item, sub-household measurement, the data remote transmission, data collection, statistical classification, release of remote transmission and other functions. Help to raise awareness of energy saving, so as to be able to realize effective energy saving, improve the level of automation, the realization of the national energy consumption targets, to achieve rational energy use, energy saving.

Functions of the energy consumption monitoring system:

Data collection: real-time monitoring of the entire range of users, can be used for energy consumption for energy consumption real-time feedback.

Data analysis: the power consumption of each circuit can be analyzed and recorded in detail, and can be displayed in a tabular manner, through a diversified graphic display, you can compare the data by replacing the graphic charts.

Energy consumption statistics: Provide users with categorized and itemized energy consumption statistics and report printing, able to print and count the electricity consumption (according to year, month and day).

Fault Alarm: If the energy consumption exceeds the limit value, it will send out voice prompts, system prompts, SMS reminders and other ways to communicate.

Tracking and effective management of energy consumption in a timely manner through 2D, 3D and other visualization means. Hightopo builds a variety of lightweight energy visualization management systems, including power distribution, lighting, air conditioning, heating, building water supply and drainage, etc. Each module is developed independently and then integrated into the system. Each module is developed independently and then integrated, reducing cyclical dependencies and coupling. This allows for a unified supervision of all metering points and optimizes the building management model. On the one hand, it identifies inefficiently operating equipment or corresponding floor zones, and on the other hand, it identifies abnormal energy consumption, reduces peak power consumption levels, and provides rationalization recommendations based on data analysis.

2D Visualization panel shows key indicators, through the electricity consumption statistics of air conditioning, lighting and special channels, docking background data real-time updates, monitoring building energy consumption, while showing the contribution to energy saving and emission reduction statistics, and based on the database, gives various analysis reports, providing a reliable basis for energy saving optimization and transformation.

Supports the deployment of dynamic monitoring of the energy consumption of the mine production system based on spatial, temporal, qualitative and other multi-dimensional data, immediately triggering the alarm when the safety threshold is exceeded, notifying the relevant personnel of timely detection, timely stopping and reasonable analysis and formulation of energy-saving and consumption reduction measures, to achieve the efficient use of energy and low-carbon development.

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Enhance the management level of energy conservation work to achieve energy conservation, supply and demand interaction of multiple energy coupling purposes, to achieve centralized monitoring, management and decentralized control.

Building Energy Consumption

Integrates the lighting systems inside and outside the building, centralized monitoring and control of the lighting equipment inside the building with the HT Intelligent Campus Visualization Platform, which adjusts the lighting effect modes for different times of the day, analyzes and displays the ambient illuminance as well as the energy consumption of the lighting through the data trend graphs, and performs real-time updating of the operation status of the indoor and outdoor lighting detection. Real-time update, so that managers can deal with lighting system problems in a timely manner. Visualization through system access allows problems to be discovered and dealt with in a timely manner, helping operation and maintenance personnel to deal with lighting equipment maintenance problems in a timely manner and improving the management efficiency and service level of the building.

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Energy consumption of server room

Reducing energy management links, optimizing energy management processes, and establishing an objective energy consumption evaluation system. The construction of the energy consumption online monitoring system can realize the optimization and reengineering of the process of energy use on the basis of the analysis of energy consumption data, the effective implementation of a scientific and effective energy consumption assessment system, enhance the awareness of energy conservation and improve the efficiency of energy management. And can understand the real energy consumption situation in a timely manner, so as to put forward energy-saving technology and management measures to achieve the improvement of energy management level.

Currently, reducing the energy consumption of the refrigeration system is the basic guideline for the planning and construction of data centers, and it affects the efficiency of data center construction. Adopting visual energy-saving strategy, using the intelligent algorithm provided by the system, calculating the current equipment and environment temperature, and automatically giving the appropriate power of each refrigeration equipment. Optimize the airflow of data center air conditioning, to reduce energy consumption, the scientific application of effective cooling.

Through intelligent, visualization means, to further give full play to the advantages of energy, to build a green manufacturing system, to promote the traditional industry quality change, efficiency change, power change, to contribute to the overall energy development and green construction. Let the energy consumption intuitive visualization, clear and transparent, but also easy to categorize statistics. So that the whole operation management personnel on the building energy consumption situation to grasp a more comprehensive and timely, to ensure that the system can run in the best energy-saving state, to obtain energy-saving benefits.