CN114780332A - Energy consumption monitoring method for IDC data center machine room - Google Patents
Energy consumption monitoring method for IDC data center machine room Download PDFInfo
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- CN114780332A CN114780332A CN202210321534.9A CN202210321534A CN114780332A CN 114780332 A CN114780332 A CN 114780332A CN 202210321534 A CN202210321534 A CN 202210321534A CN 114780332 A CN114780332 A CN 114780332A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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Abstract
The invention discloses an energy consumption monitoring method for an IDC data center machine room, which relates to the technical field of IDC data center machine rooms and comprises the following steps: the method comprises the steps that load information and energy consumption information of a server of an IDC data center are collected in advance; and distributing a server working parameter threshold value to the current task list based on the historical load and the historical energy consumption of the server, adjusting the server working parameter and pushing an early warning prompt based on the current real-time load and the real-time energy consumption of the server, and regulating and controlling the environmental information of the area where the current server is located. The method reduces the energy consumption caused by the overhigh load of the server on the task list, saves the energy consumption during the operation of the task list by reasonably distributing the tasks and adaptively adjusting the regulation and control of the working parameters of the server, monitors the regional environment of the server in real time, reduces the energy consumption of the server by adjusting the regional environment, and has the advantages of simple and convenient operation, high intelligent degree and wide application range.
Description
Technical Field
The invention relates to the technical field of IDC data center machine rooms, in particular to an energy consumption monitoring method for an IDC data center machine room.
Background
Along with the continuous development of terminal technology, the energy utilization rate of a machine room is also more and more concerned by people. In order to ensure that the machine room keeps a constant-temperature and constant-humidity environment, the air conditioner needs to operate uninterruptedly, so that how to monitor energy sources of the machine room is how to achieve the purpose of energy conservation and emission reduction, which is an important technical problem to be solved.
Currently, the energy utilization efficiency of a machine room is generally monitored by a PUE (Power Usage efficiency), which is a ratio of all energy consumed by the machine room to energy used by an IT (Information Technology) load, and a PUE value is closer to 1, which indicates that the energy efficiency level is higher. However, the energy utilization efficiency of the machine room is monitored only through the PUE, so that the monitoring of the energy efficiency index of the machine room is not comprehensive enough, and the monitoring precision is low.
The invention discloses an energy consumption monitoring method for an IDC data center machine room, which comprises the steps of obtaining historical load and energy consumption information of a server, obtaining a task list, performing task distribution, setting a server working mode and outputting an energy consumption report. The method and the device realize the reduction of the times of state transition of the servers, thereby saving the energy consumption during the state switching, and simultaneously ensure the service availability by setting a certain number of servers which always work. But it still has the computer lab energy consumption control comparatively to limit, and intelligent degree is lower.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides an energy consumption monitoring method for an IDC data center machine room, which aims to overcome the technical problems in the prior art.
The technical scheme of the invention is realized as follows:
an energy consumption monitoring method for an IDC data center machine room comprises the following steps:
step S1, pre-collecting load information and energy consumption information of an IDC data center machine room server, wherein the load information and the energy consumption information comprise the current real-time load and the real-time energy consumption of a collecting server and the historical load and the historical energy consumption of the collecting server;
step S2, distributing a server working parameter threshold value to the current task list based on the historical load and the historical energy consumption of the server, adjusting the server working parameter based on the current real-time load and the real-time energy consumption of the server, and pushing an early warning reminder;
and step S3, regulating and controlling the regional environment information of the current server based on the current real-time load and real-time energy consumption of the server.
The server historical load and historical energy consumption comprise the following steps:
step S101, a load energy consumption log library is constructed in advance by acquiring server load information and energy consumption information in real time;
step S102, acquiring average load and average energy consumption in a current server calibration time period based on a load energy consumption log library;
and step S103, distributing the servers to the current task list based on the average load and the average energy consumption of the servers, and setting a working parameter threshold of the servers.
The load energy consumption log library comprises the following steps:
a user self-defines a load energy consumption log library;
and the current user self-defines the working parameter threshold value for the server.
The method comprises the following steps of adjusting the working parameters of the server based on the current real-time load and real-time energy consumption of the server, and pushing early warning reminders, and comprises the following steps:
step S201, acquiring real-time load and real-time energy consumption of the current server, and acquiring current operating parameters, which includes:
step S202, if the current real-time load and the real-time energy consumption are higher than the average load and the average energy consumption, adjusting the current operation working parameters of the server to be within the working parameter threshold of the server, and pushing abnormal information to the server;
and step S203, if the current real-time load and the real-time energy consumption are lower than the average load and the average energy consumption, acquiring the progress information of the current task list.
The method for regulating and controlling the environmental information of the area where the current server is located comprises the following steps:
step S301, acquiring IDC data center machine room energy consumption equipment identification information and energy consumption equipment energy consumption information;
step S302, matching energy consumption equipment in the area where the current server is located, and acquiring the use of the current energy consumption equipment;
and step S303, acquiring the environmental information of the current regional server based on the real-time load and the real-time energy consumption of the regional server of the IDC data center machine room, and regulating and controlling energy consumption equipment to regulate the regional environmental information.
Wherein the environment information includes: current zone temperature information, humidity information, and heat flow information.
The method for regulating the environmental information of the area by the energy consumption regulating and controlling equipment comprises the following steps:
and regulating and controlling energy consumption equipment to cool the current area.
The energy consumption equipment comprises an air conditioning system, an air cooling cold source system and a water cooling cold source system.
The invention has the beneficial effects that:
the invention relates to an energy consumption monitoring method for an IDC data center machine room, which realizes energy consumption monitoring of the IDC data center machine room by acquiring load information and energy consumption information of a server of the IDC data center machine room in advance, allocating a threshold value of a working parameter of the server to a current task list based on historical load and historical energy consumption of the server, adjusting the working parameter of the server based on the current real-time load and real-time energy consumption of the server and pushing early warning prompts, thereby not only reducing energy consumption caused by overhigh running load of the server to the task list, but also saving energy consumption during running of the task list by reasonably allocating tasks and adaptively adjusting and controlling the working parameter of the server, in addition, adjusting and controlling the environmental information of a region where the current server is located based on the current real-time load and real-time energy consumption of the server, not only monitoring the region environment where the server is located in real time, but also reducing the energy consumption of the server running by adjusting the region environment, the real-time monitoring and regulating method is simple and convenient to operate, high in intelligent degree and wide in application range.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of an energy consumption monitoring method for an IDC data center room 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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
According to the embodiment of the invention, an energy consumption monitoring method for an IDC data center machine room is provided.
As shown in fig. 1, the energy consumption monitoring method for the IDC data center room according to the embodiment of the present invention includes the following steps:
step S1, pre-collecting load information and energy consumption information of an IDC data center machine room server, wherein the load information and the energy consumption information comprise the current real-time load and the real-time energy consumption of a collecting server and the historical load and the historical energy consumption of the collecting server;
the technical scheme comprises the following steps of:
step S101, a load energy consumption log library is constructed in advance by acquiring server load information and energy consumption information in real time;
step S102, acquiring average load and average energy consumption in a current server calibration time period based on a load energy consumption log library;
and step S103, distributing the servers to the current task list based on the average load and the average energy consumption of the servers, and setting a working parameter threshold of the servers.
In addition, the technical scheme is that the load energy consumption log library comprises the following steps:
a user self-defines a load energy consumption log library;
and the current user self-defines the working parameter threshold value for the server.
In particular, for the load energy consumption log library,
by means of the scheme, when the method is applied, a user can preset the average load and the average energy consumption of the server within three months, obtain the working parameter threshold range of the normal task list based on the average load and the average energy consumption, allocate the server to the current task list and set the working parameter threshold range of the server.
In addition, for the load energy consumption log library, a user can set a threshold range by himself, so that the normal working parameter threshold range of the current server is convenient to regulate and control, and in addition, the working parameter threshold of the server can be set by himself, so that real-time monitoring is convenient.
Step S2, based on the historical load and the historical energy consumption of the server, the current task list is distributed with a server working parameter threshold value, and based on the current real-time load and the real-time energy consumption of the server, the working parameter of the server is adjusted and the early warning prompt is pushed, and the method specifically comprises the following steps:
step S201, collecting the real-time load and real-time energy consumption of the current server, and obtaining the current operating parameters, which includes:
step S202, if the current real-time load and the real-time energy consumption are higher than the average load and the average energy consumption, adjusting the current operation working parameters of the server to be within the working parameter threshold of the server, and pushing abnormal information to the server;
and step S203, if the current real-time load and the real-time energy consumption are lower than the average load and the average energy consumption, acquiring the progress information of the current task list.
In addition, according to the technical scheme, the server is distributed based on the current task list, and the working parameter threshold range and real-time monitoring are set; if the working parameters change when the current server runs the current task list, the current parameters are adjusted to the set working parameter threshold range according to the preset working parameter threshold range and are transmitted to the server or the mobile terminal for early warning, and meanwhile, the current parameters are written into a log library to facilitate the user to check and maintain.
Specifically, when the current task list is operated and the working parameters of the server are abnormal, the current operating task can be removed, the lower tasks are operated according to the priority, the working parameters of the current server are adjusted to be within the set working parameter threshold range, and a push log can be established for the removed tasks, so that a user can conveniently redistribute the server or reset the working parameters of the server.
In addition, when in use, the method also comprises the following steps:
step S3, based on the current real-time load and real-time energy consumption of the server, regulating and controlling the regional environment information of the current server, specifically as follows:
step S301, acquiring identification information of energy consumption equipment and energy consumption equipment of an IDC data center machine room;
step S302, matching energy consumption equipment in the area where the current server is located, and acquiring the use of the current energy consumption equipment;
and step S303, acquiring the environmental information of the current regional server based on the real-time load and the real-time energy consumption of the regional server of the IDC data center machine room, and regulating and controlling energy consumption equipment to regulate the regional environmental information.
In addition, the method for regulating the environmental information of the area by the energy consumption regulating and controlling device comprises the following steps:
and regulating and controlling energy consumption equipment to cool the current area.
According to the technical scheme, when the method is applied, the area is planned through distribution of the IDC data center machine room servers, the energy consumption equipment in the partitioned area is independently controlled and regulated, wherein the energy consumption equipment comprises the purpose, the energy consumption information and the like of the energy consumption equipment, and when the method is applied, the temperature information, the humidity information or the heat flow information and the like of the current area are acquired in real time.
Specifically, if the temperature of the current area is high, heat can be dissipated by regulating and controlling energy consumption equipment of the current area, so that the energy consumption of the operation of the server is reduced, different areas independently control different energy consumption equipment, energy is saved, emission is reduced, and the energy consumption of the whole IDC data center machine room can be reduced.
In addition, the environment information includes: current zone temperature information, humidity information, and heat flow information.
The energy consumption equipment comprises an air conditioning system, an air cooling cold source system and a water cooling cold source system.
In summary, with the aid of the technical solutions of the present invention, by collecting load information and energy consumption information of a server in an IDC data center room in advance, allocating a threshold of a working parameter of the server to a current task list based on historical load and historical energy consumption of the server, adjusting the working parameter of the server based on the current real-time load and real-time energy consumption of the server, and pushing an early warning prompt, energy consumption monitoring of the IDC data center room is achieved, energy consumption caused by too high load of the server on the task list is reduced, energy consumption during the operation of the task list is saved by reasonably allocating tasks and adjusting and controlling the working parameter of the server adaptively, and in addition, based on the current real-time load and real-time energy consumption of the server, information of an area environment where the current server is located is adjusted and controlled, not only is the area environment where the server is located in real time monitored, but also energy consumption of the server operation is reduced by adjusting the area environment, the real-time monitoring and regulating method is simple and convenient to operate, high in intelligent degree and wide in application range.
While the foregoing is directed to preferred embodiments of the present invention, other and further embodiments of the disclosure may be devised by those skilled in the art upon consideration of the disclosure herein and the examples. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. An energy consumption monitoring method for an IDC data center machine room is characterized by comprising the following steps:
the method comprises the steps that load information and energy consumption information of an IDC data center machine room server are collected in advance, wherein the load information and the energy consumption information comprise the current real-time load and the real-time energy consumption of the server and the historical load and the historical energy consumption of the server;
distributing a server working parameter threshold value to the current task list based on the historical load and the historical energy consumption of the server, adjusting the server working parameter based on the current real-time load and the real-time energy consumption of the server, and pushing an early warning reminder;
and regulating and controlling the environmental information of the area where the current server is located based on the current real-time load and real-time energy consumption of the server.
2. The energy consumption monitoring method for the IDC data center room as claimed in claim 1, wherein the server historical load and historical energy consumption comprises the following steps:
the method comprises the steps that a load energy consumption log library is constructed in advance by collecting server load information and energy consumption information in real time;
based on a load energy consumption log library, acquiring the average load and the average energy consumption in the current server calibration time period;
and distributing the servers to the current task list based on the average load and the average energy consumption of the servers, and setting the working parameter threshold of the servers.
3. The energy consumption monitoring method for the IDC data center room as claimed in claim 2, wherein the load energy consumption log library comprises the following steps:
a user self-defines a load energy consumption log library;
and the current user self-defines the working parameter threshold value for the server.
4. The energy consumption monitoring method for the IDC data center machine room according to claim 3, wherein the adjusting of the working parameters of the server and the pushing of the early warning reminder based on the current real-time load and the real-time energy consumption of the server comprises the following steps:
acquiring the real-time load and the real-time energy consumption of the current server, and acquiring the current operating parameters, wherein the method comprises the following steps:
if the current real-time load and the real-time energy consumption are higher than the average load and the average energy consumption, adjusting the current operation working parameters of the server to be within the working parameter threshold of the server, and pushing abnormal information to the server;
and if the current real-time load and the real-time energy consumption are lower than the average load and the average energy consumption, acquiring the progress information of the current task list.
5. The energy consumption monitoring method for the IDC data center room as claimed in claim 4, wherein the adjusting and controlling of the environmental information of the area where the current server is located comprises the following steps:
acquiring identification information of energy consumption equipment and energy consumption information of the energy consumption equipment of an IDC data center machine room;
matching energy consumption equipment in the area where the current server is located, and acquiring the use of the current energy consumption equipment;
based on real-time load and real-time energy consumption of the regional servers of the IDC data center machine room, the environmental information of the current regional servers is collected, and energy consumption equipment is regulated and controlled to regulate the regional environmental information.
6. The energy consumption monitoring method for the IDC data center room as claimed in claim 5, wherein the environment information comprises: current zone temperature information, humidity information, and heat flow information.
7. The energy consumption monitoring method for the IDC data center room as claimed in claim 6, wherein the adjusting and controlling of the energy consumption device for adjusting the regional environment information comprises the steps of:
and regulating and controlling energy consumption equipment to cool the current area.
8. The energy consumption monitoring method for the IDC data center machine room as claimed in claim 7, wherein the energy consumption equipment comprises an air conditioning system, an air cooling system and a water cooling system.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117520102A (en) * | 2024-01-04 | 2024-02-06 | 广州大一互联网络科技有限公司 | Intelligent energy consumption monitoring method for IDC data center |
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