CN115392684A - Data machine room carbon emission monitoring system and method based on out-of-band mode - Google Patents
Data machine room carbon emission monitoring system and method based on out-of-band mode Download PDFInfo
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Abstract
The embodiment of the invention discloses a system and a method for monitoring carbon emission of a data machine room based on an out-of-band mode, wherein the system is connected with electric equipment in the data machine room in an out-of-band management mode, and the monitoring system comprises: the data acquisition unit is used for acquiring data of electric equipment in the data machine room; wherein the electric equipment comprises a server, computer basic equipment and a refrigeration facility; the data processing unit is used for receiving and processing the data acquired by the data acquisition unit to obtain a carbon emission value of the data machine room; and the control optimization unit is used for carrying out control optimization on the computer infrastructure and the refrigeration facility based on the carbon emission value and in combination with the collected data. The invention can comprehensively monitor, control and optimize the electric equipment generating carbon emission, and scientifically realize energy conservation and emission reduction on the premise of not influencing the external service capability of the edge data center.
Description
Technical Field
The invention relates to the technical field of energy consumption management of data centers, in particular to a system and a method for monitoring carbon emission of a data machine room based on an out-of-band mode.
Background
With the continuous development of big data and cloud computing, data centers are widely applied. However, with the advocated energy conservation, emission reduction and green development, the whole society actively participates in the energy conservation and carbon reduction.
However, for the data center machine room at present, especially for energy conservation and carbon reduction of the edge data center machine room, the existing realizable schemes are simple and extensive, and have the following defects:
1. the method comprises the following steps of simply converting total electricity consumption data (electric meter values) of a data center machine room into carbon emission values, then designating an upper limit plan, switching off and limiting electricity when exceeding standards, and forcibly closing a part of computer infrastructures such as servers;
2. for the operation efficiency of data center machine room equipment, the lack of scientific dynamic monitoring, optimization and control method for computer infrastructure power utilization or refrigeration facility power utilization, basically no countermeasures exist.
In view of these current situations, there is a need for a scientific and effective carbon emission monitoring scheme for an edge data center room.
Disclosure of Invention
Aiming at the technical defects in the prior art, the embodiment of the invention aims to provide a system and a method for monitoring carbon emission of a data machine room based on an out-of-band mode, which can scientifically realize energy conservation and emission reduction on the premise of not influencing the external service capability of an edge data center by comprehensively monitoring, controlling and optimizing electric equipment generating carbon emission.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides an out-of-band data room carbon emission monitoring system, which is connected to an electrical device in a data room in an out-of-band management manner, and is characterized in that the monitoring system includes:
the data acquisition unit is used for acquiring data of electric equipment in the data machine room; wherein the electric equipment comprises a server, computer basic equipment and a refrigeration facility;
the data processing unit is used for receiving and processing the data acquired by the data acquisition unit to obtain a carbon emission value of a data machine room;
and the control optimization unit is used for carrying out control optimization on the computer infrastructure and the refrigeration facility based on the carbon emission value and in combination with the collected data.
Preferably, the data acquisition unit acquires data in real time based on an industry standard IPMI protocol or a redfish protocol; wherein the collected data includes power consumption data and temperature data; and dividing the data machine room into a plurality of equipment areas, and respectively collecting the temperature of each area to obtain the temperature data.
Preferably, the carbon emission value of the data room is calculated according to the following formula:
w = activity level x energy intensity x fuel carbon emission factor;
the activity level is the online operation time of a data computer room, the unit is per minute, the energy intensity is the power consumption per minute, and the fuel carbon emission factor is influenced by two factors, wherein the carbon emission intensity is related to the power generation type, and the regional power consumption efficiency is related.
Preferably, the control optimization unit dynamically adjusts the set temperature of the refrigeration facility in the data machine room based on the acquired temperature data of each equipment area when the temperature data is abnormal, so as to avoid an excessively low or high temperature environment.
Preferably, the control optimization unit further performs server utilization calculation based on the acquired data, and performs information reminding according to a calculation result to guide a data center administrator to make corresponding decisions in time.
In a second aspect, an embodiment of the present invention further provides an out-of-band data room carbon emission monitoring method, which is applied to the out-of-band data room carbon emission monitoring system in the first aspect, and the method includes:
carrying out data acquisition on electric equipment in a data machine room; wherein the electric equipment comprises a server, computer basic equipment and a refrigeration facility;
receiving and processing the acquired data to obtain a carbon emission value of the data machine room;
performing control optimization of the computer infrastructure and refrigeration facility based on the carbon emission values in combination with the collected data.
Preferably, the data are collected in real time based on an IPMI protocol or a redfish protocol of an industry standard; wherein the collected data includes power consumption data and temperature data; and dividing the data machine room into a plurality of equipment areas, and respectively collecting the temperature of each area to obtain the temperature data.
Preferably, the carbon emission value of the data room is calculated according to the following formula:
w = activity level x energy intensity x fuel carbon emission factor;
the activity level is the online operation time of a data computer room, the unit per minute and the energy intensity are the power consumption per minute, and the fuel carbon emission factor is influenced by two factors, namely the carbon emission intensity is related to the power generation type, and the regional power consumption efficiency.
Preferably, the method further comprises:
based on the collected temperature data of each equipment area, when the temperature data is abnormal, the set temperature of the refrigeration facilities in the data machine room is dynamically adjusted so as to avoid an over-low or over-high temperature environment.
Preferably, the method further comprises:
and calculating the utilization rate of the server based on the acquired data, and reminding information according to the calculation result so as to guide a data center administrator to make corresponding decisions in time.
By implementing the embodiment of the invention, the collected data of carbon emission is more real-time, more comprehensive and deeper; the carbon emission calculation method is more scientific and reasonable; meanwhile, the purposes of energy conservation, emission reduction and carbon emission reduction are scientifically realized and the carbon emission is reduced on the premise of not influencing the external service capacity of the edge data center through comprehensive monitoring and control optimization of basic computer equipment generating carbon emission and dynamic linkage with refrigeration facilities.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings used in the detailed description or the prior art description will be briefly described below.
Fig. 1 is a schematic block diagram of a carbon emission monitoring system of a data room based on an out-of-band method according to an embodiment of the present invention;
FIG. 2 is a table of global carbon emission coefficients provided by an embodiment of the present invention;
FIG. 3 is a table of fuel carbon emission factor data provided by an embodiment of the present invention;
FIG. 4 is a server utilization data table provided by an embodiment of the present invention;
fig. 5 is a flowchart of a method for monitoring carbon emissions in a data room based on an out-of-band method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the present invention belongs.
In a first aspect, referring to fig. 1, an out-of-band carbon emission monitoring system for a data room provided in an embodiment of the present invention is connected to an electrical device in the data room in an out-of-band management manner, where the monitoring system includes:
the data acquisition unit is used for acquiring data of electric equipment in the data machine room; wherein, the consumer comprises a server, a computer infrastructure, and a refrigeration facility.
Specifically, the data acquisition unit acquires data in real time based on an industry standard IPMI protocol or a redfish protocol; wherein the collected data includes power consumption data and temperature data; dividing the data machine room into a plurality of equipment areas, and respectively collecting the temperature of each area to obtain the temperature data; the power consumption data comprises consumed electric energy power consumption and situation data of resource use of the server.
In this embodiment, the value of the sensor "PS1 Input Power" (default Unit Watts) of a Power Supply Unit (PSU) of an IT device such as a server is collected in real time based on an IPMI protocol or a redfish protocol of an industry standard, and the active state of a server Power module (PSU) is filtered when the server configures a redundant Power module, the active state is read from an SDR table, and the PSU sensor value in the inactive state is ignored; in all active states, the Power consumption of the server is equal to "PS1 Input Power" + "PS2 Input Power";
meanwhile, the value (default unit ℃, centigrade degree) of an air inlet/outlet temperature Sensor (inlet Thermal Sensor) of each server system is also acquired in real time through an IPMI protocol or a redfish protocol of an industry standard.
And the data processing unit is used for receiving and processing the data acquired by the data acquisition unit to obtain the carbon emission value of the data machine room.
Specifically, the carbon emission calculation method, with a default collection period of 1 minute, can be adjusted as required.
The carbon emission value of the data computer room is calculated according to the following formula:
w = activity level x energy intensity x fuel carbon emission factor;
the activity level is the online operation time of a data computer room, the unit per minute and the energy intensity are the power consumption per minute, and the fuel carbon emission factor is influenced by two factors, namely the carbon emission intensity is related to the power generation type, and the regional power consumption efficiency.
Specifically, according to data published by the national development and improvement committee on climate change, the carbon emission factor of the power grid is influenced by two factors, namely, the carbon emission intensity is related to the power generation type, for example, the hydroelectric carbon emission factor is the minimum, the coal power generation carbon emission factor is the maximum, the coal power generation carbon emission factor is related to regional power utilization efficiency, the southern regional power grid carbon emission factor is the minimum, and the northern China regional power grid carbon emission factor is the maximum; the method comprises the following steps of collecting the total electric quantity of an edge data machine room, and collecting the data value of an intelligent power supply meter based on an industry standard protocol modbus TCP (transmission control protocol) in real time;
therefore, the two factors to be fully considered by the carbon emission factor of the edge data room are based on the multiplication principle, and refer to fig. 3.
And the control optimization unit is used for carrying out control optimization on the computer infrastructure and the refrigeration facility based on the carbon emission value and in combination with the acquired data.
Specifically, the control optimization unit dynamically adjusts the set temperature of the refrigeration facility in the data machine room based on the acquired temperature data of each equipment area when the temperature data is abnormal, so as to avoid an excessively low or high temperature environment.
The method comprises the steps that values (default unit ℃, centigrade) of air inlet temperature sensors (inlet Thermal sensors) of each server system can be acquired in real time through an industry standard IPMI protocol or a redfish protocol and serve as minimum indoor temperature acquisition points (points), an edge data computer room is divided into a plurality of equipment areas (areas), and temperature monitoring items of each Area are used for taking the maximum temperature, the minimum temperature and the average temperature of all server acquisition points in the Area; for example, in one of the areas, if the highest temperature of a certain server exceeds a set value, it indicates that the temperature of the area is abnormal, and the refrigeration equipment needs to increase the refrigeration to reduce the temperature.
Meanwhile, the real-time data and the historical data form a temperature trend change distribution map and a temperature dynamic model of an edge data machine Room (Room), an equipment Area (Area), so that a high-temperature Area and a low-temperature Area are found and predicted in time, the set temperature of refrigeration facilities (such as an air conditioner) of the edge data machine Room is dynamically adjusted by referring to the ASHRAE (international standard data machine Room refrigeration specification) recommended temperature of 18-27 ℃, and the low-temperature environment is effectively avoided on the premise of ensuring the stable operation of computer infrastructure, so that the control and optimization of the carbon emission of the electricity used by the data machine Room are realized.
Furthermore, the control optimization unit also calculates the utilization rate of the server based on the collected data and reminds information according to the calculation result so as to guide a data center administrator to make corresponding decisions in time.
This is because in many data center rooms, there are some servers that are always in an on state, but there is no traffic load for a long time and the servers are always in an idle state, and it is counted that these zombie servers have about 15% of servers in the data center. The existence of the zombie servers can be easily positioned by utilizing the energy consumption analysis function of the Cinsightsuite control platform, so that the servers are reasonably utilized, or effective server upgrading is carried out, and the service is better served;
in addition, when the operation time of the edge data machine room is long, some server devices are usually forgotten, are always in a power-on state but have no service load for a long time, and are always power-consuming but not actually used. The server is expressed in a 'zombie' mode, the conditions of the utilization rate (CPU utilization) of a processor and the bandwidth value (i/o bandwidth) of an input/output bus of each server equipment system are collected in real time through an IPMI protocol or a redfish protocol of an industry standard, and a server utilization rate table is formed by combining power consumption data and the change degree of a case air outlet temperature Sensor value (inlet Thermal Sensor), and the server utilization rate table is shown in a reference figure 4.
Therefore, the manager of the edge data center is guided to make corresponding decisions in time, for example, the server without load is shut down, a plurality of low-load servers are integrated, the power-on operation of idle servers is reduced, and the control optimization of the carbon emission of the electricity consumption of the data computer room is realized.
The scheme is particularly suitable for carbon emission control and control optimization of a large number of distributed edge data center machine rooms under the scenes of industrial internet, 5G, intelligent traffic, intelligent agriculture and the like.
By the scheme, the acquired data of carbon emission is more real-time, more comprehensive and deeper; the carbon emission calculation method is more scientific and reasonable; meanwhile, the purposes of energy conservation, emission reduction and carbon emission reduction are scientifically realized and the carbon emission is reduced on the premise of not influencing the external service capacity of the edge data center through comprehensive monitoring and control optimization of basic computer equipment generating carbon emission and dynamic linkage with refrigeration facilities.
Based on the same inventive concept, an embodiment of the present invention further provides an out-of-band data room carbon emission monitoring method, which is applied to the foregoing out-of-band data room carbon emission monitoring system, and as shown in fig. 5, the method includes:
s101, carrying out data acquisition on electric equipment in a data machine room; wherein, the power consumption equipment comprises a server, computer basic equipment and a refrigeration facility.
Specifically, an IPMI protocol or a redfish protocol based on an industry standard collects data in real time; wherein the collected data includes power consumption data and temperature data; and dividing the data computer room into a plurality of equipment areas, and respectively collecting the temperature of each area to obtain the temperature data.
And S102, receiving and processing the acquired data to obtain a carbon emission value of the data machine room.
Specifically, the carbon emission value of the data room is calculated according to the following formula:
w = activity level x energy intensity x fuel carbon emission factor;
the activity level is the online operation time of a data computer room, the unit per minute and the energy intensity are the power consumption per minute, and the fuel carbon emission factor is influenced by two factors, namely the carbon emission intensity is related to the power generation type, and the regional power consumption efficiency.
S103, controlling and optimizing the computer infrastructure and the refrigeration facility based on the carbon emission value and the collected data.
When implemented, the control optimization is directed to two aspects.
1. Based on the collected temperature data of each equipment area, when the temperature data is abnormal, the set temperature of the refrigeration facility in the data machine room is dynamically adjusted to avoid an over-low or over-high temperature environment.
2. And calculating the utilization rate of the server based on the acquired data, and prompting information according to the calculation result so as to guide a data center administrator to make corresponding decisions in time.
It should be noted that, for a more specific workflow of the method embodiment, please refer to the system embodiment part, which is not described herein again.
This application compares with current data computer lab carbon emission management, and main advantage is as follows:
1. the carbon emission data is more real-time, comprehensive and deep.
2. The carbon emission calculation method is more scientific and reasonable.
3. Through comprehensive monitoring and control optimization of computer basic equipment generating carbon emission and dynamic linkage with refrigeration facilities, the aims of saving energy, reducing emission and reducing carbon emission are scientifically achieved on the premise of not influencing the external service capability of the edge data center.
It will be appreciated by those of ordinary skill in the art that the components and steps of the various examples have been described generally in terms of functionality in the foregoing description, in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention.
Claims (10)
1. The utility model provides a data computer lab carbon emission monitored control system based on out-of-band mode, is connected with the consumer in the data computer lab through the mode of out-of-band management, its characterized in that, monitored control system includes:
the data acquisition unit is used for acquiring data of electric equipment in the data machine room; wherein the electric equipment comprises a server, computer basic equipment and a refrigeration facility;
the data processing unit is used for receiving and processing the data acquired by the data acquisition unit to obtain a carbon emission value of the data machine room;
and the control optimization unit is used for carrying out control optimization on the computer infrastructure and the refrigeration facility based on the carbon emission value and in combination with the collected data.
2. The out-of-band data room carbon emission monitoring system as claimed in claim 1, wherein the data acquisition unit acquires data in real time based on industry standard IPMI protocol or redfish protocol; wherein the collected data includes power consumption data and temperature data; and dividing the data machine room into a plurality of equipment areas, and respectively collecting the temperature of each area to obtain the temperature data.
3. The out-of-band data room carbon emission monitoring system of claim 2, wherein the carbon emission value of the data room is calculated according to the following formula:
w = activity level x energy intensity x fuel carbon emission factor;
the activity level is the online operation time of a data computer room, the unit per minute and the energy intensity are the power consumption per minute, and the fuel carbon emission factor is influenced by two factors, namely the carbon emission intensity is related to the power generation type, and the regional power consumption efficiency.
4. The out-of-band data room carbon emission monitoring system as claimed in claim 2, wherein the control optimization unit dynamically adjusts the set temperature of the refrigeration facility in the data room based on the collected temperature data of each equipment area when the temperature data is abnormal, so as to avoid an environment with too low or too high temperature.
5. The out-of-band data room carbon emission monitoring system of claim 4, wherein the control optimization unit further performs server utilization calculation based on the collected data and performs information reminding according to the calculation result to guide a data center administrator to make corresponding decisions in time.
6. An out-of-band data room carbon emission monitoring method is applied to the out-of-band data room carbon emission monitoring system in claim 1, and the method comprises the following steps:
carrying out data acquisition on electric equipment in a data machine room; wherein the electric equipment comprises a server, computer basic equipment and a refrigeration facility;
receiving and processing the acquired data to obtain a carbon emission value of the data machine room;
performing control optimization of the computer infrastructure and refrigeration facility based on the carbon emission values in combination with the collected data.
7. The method for monitoring the carbon emission of the data machine room based on the out-of-band mode as claimed in claim 6, wherein the data is collected in real time based on an IPMI protocol or a redfish protocol of an industry standard; wherein the collected data includes power consumption data and temperature data; and dividing the data machine room into a plurality of equipment areas, and respectively collecting the temperature of each area to obtain the temperature data.
8. The method for monitoring carbon emission of the data room based on the out-of-band mode as claimed in claim 7, wherein the carbon emission value of the data room is calculated according to the following formula:
w = activity level x energy intensity x fuel carbon emission factor;
the activity level is the online operation time of a data computer room, the unit is per minute, the energy intensity is the power consumption per minute, and the fuel carbon emission factor is influenced by two factors, wherein the carbon emission intensity is related to the power generation type, and the regional power consumption efficiency is related.
9. The method for monitoring carbon emission of the data room based on the out-of-band mode as claimed in claim 7, wherein the method further comprises:
based on the collected temperature data of each equipment area, when the temperature data is abnormal, the set temperature of the refrigeration facilities in the data machine room is dynamically adjusted so as to avoid an over-low or over-high temperature environment.
10. The method for monitoring carbon emission of the data room based on the out-of-band mode as claimed in claim 9, wherein the method further comprises:
and calculating the utilization rate of the server based on the acquired data, and reminding information according to the calculation result so as to guide a data center administrator to make corresponding decisions in time.
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| CN115689804A (en) * | 2022-12-28 | 2023-02-03 | 四川川西数据产业有限公司 | Energy-saving and carbon-reducing system of data center |
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| CN115689804A (en) * | 2022-12-28 | 2023-02-03 | 四川川西数据产业有限公司 | Energy-saving and carbon-reducing system of data center |
| CN115689804B (en) * | 2022-12-28 | 2023-04-07 | 四川川西数据产业有限公司 | Energy-saving and carbon-reducing system of data center |
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