CN105183032A - Method and system for controlling and managing temperature of computer room in cloud platform - Google Patents
Method and system for controlling and managing temperature of computer room in cloud platform Download PDFInfo
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- CN105183032A CN105183032A CN201510432263.4A CN201510432263A CN105183032A CN 105183032 A CN105183032 A CN 105183032A CN 201510432263 A CN201510432263 A CN 201510432263A CN 105183032 A CN105183032 A CN 105183032A
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- 238000000034 method Methods 0.000 title claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 47
- 238000007418 data mining Methods 0.000 claims abstract description 31
- 238000005057 refrigeration Methods 0.000 claims abstract description 27
- 238000007726 management method Methods 0.000 claims description 20
- 238000006243 chemical reaction Methods 0.000 claims description 15
- 230000000007 visual effect Effects 0.000 claims description 15
- 230000001960 triggered effect Effects 0.000 claims description 5
- 230000003321 amplification Effects 0.000 description 7
- 238000003199 nucleic acid amplification method Methods 0.000 description 7
- 230000007423 decrease Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012800 visualization Methods 0.000 description 3
- 238000012216 screening Methods 0.000 description 2
- 230000033228 biological regulation Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
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Abstract
The invention discloses a method and system for controlling and managing the temperature of a computer room in a cloud platform. The method includes the following steps that: a data center acquires the operating data of computer room equipment; a data mining module performs load analysis on obtained operation data acquired by the data center, wherein the load analysis is carried out in a manner than equipment load in a second time period is predicted according to the operation data in a first time period; and a temperature adjustment and control module carries out refrigeration mode selection or computer room temperature adjustment according to load analysis. With the method and system of the invention adopted, the normal operation of the computer room can be ensured through temperature adjustment and control.
Description
Technical field
The present invention relates to machine room control technology field, controlling machine room temperature management method and system in espespecially a kind of cloud platform.
Background technology
Twice oil crisis makes " energy " become the focus of people's words, and in today of global economy high speed development, international energy safety has risen to national height, and each state has all formulated the energy strategy taking the energy safety of supply as core.
Current cloud platform is approved by industry gradually, and the concept of various cloud is constantly suggested and is committed to practice, and equipment operating environment is more sophisticated also, and equipment operating data also Yoga is numerous and diverse, and energy consumption problem has become the top-priority problem of each large machine room.The energy consumption of freezing in machine room is a difficult problem always, how farthest to reduce the difficult problem that energy consumption for cooling has become an each large machine room of puzzlement when ensureing that machine room runs well.
Summary of the invention
In order to solve the problems of the technologies described above, the invention provides controlling machine room temperature management method and system in a kind of cloud platform, the normal operation of machine room can be ensured by temperature adjusting.
In order to reach the object of the invention, the invention provides controlling machine room temperature management method in a kind of cloud platform, comprising: data center gathers the service data of calculator room equipment; The service data that data-mining module obtains data central data carries out load analysis, and described load analysis is the apparatus of load predicted according to the service data in first time period in the second time period; Temperature adjusting module, according to load analysis, carries out the selection of refrigeration modes or the adjustment of computer room temperature.
Further, described data center gathers and the service data of storage room equipment, is specially: by script mode, and the service data of the long-range crawl calculator room equipment of data center's timing or real time remote capture the service data of calculator room equipment.
Further, the described apparatus of load predicted according to the service data in first time period in the second time period, be specially: data-mining module calculates apparatus of load in first time period according to the equipment operating data in first time period, predicts the apparatus of load in the second time period according to apparatus of load amplitude of variation in first time period.
Further, described method also comprises: the service data of crawl is stored in the database of data center with data mode by data center, and the service data of crawl is carried out visual conversion is sent to the display device be connected with data center; The apparatus of load of the prediction that load analysis obtains by data-mining module carries out visual conversion and is sent to the display device be connected with data center.
Further, described data center pre-sets computer room temperature scope; Described temperature adjusting module is according to load analysis, carry out the selection of refrigeration modes or the adjustment of computer room temperature, be specially: the apparatus of load of the prediction that temperature adjusting module obtains according to load analysis, automatically the selection of refrigeration modes or the adjustment of computer room temperature is carried out, or, be triggered and carry out the selection of refrigeration modes or the adjustment of computer room temperature, keep computer room temperature within the scope of computer room temperature.
Present invention also offers controlling machine room temperature management system in a kind of cloud platform, comprising: at least one calculator room equipment, data center, data-mining module and temperature adjusting module, wherein data center and data-mining module are arranged in cloud platform; Described data center, for gathering the service data of calculator room equipment; Described data-mining module, carries out load analysis for the service data obtaining data central data, and described load analysis is the apparatus of load predicted according to the service data in first time period in the second time period; Described temperature adjusting module, for according to load analysis, carries out the selection of refrigeration modes or the adjustment of computer room temperature.
Further, described data center, specifically for: by script mode, the service data of the long-range crawl calculator room equipment of data center's timing or real time remote capture the service data of calculator room equipment.
Further, described data-mining module, specifically for: the service data obtaining data central data, calculates apparatus of load in first time period according to the equipment operating data in first time period, predicts the apparatus of load in the second time period according to apparatus of load amplitude of variation in first time period.
Further, described data center, also for the service data of crawl being stored in the database of data center with data mode, and carries out visual conversion by the service data of crawl and is sent to the display device be connected with data center; Described temperature adjusting module, also carries out visual conversion for the apparatus of load of prediction load analysis obtained and is sent to the display device be connected with data center.
Further, described data center, also for pre-setting computer room temperature scope; Described temperature adjusting module, specifically for: according to the apparatus of load of the prediction that load analysis obtains, automatically carry out the selection of refrigeration modes or the adjustment of computer room temperature, or, be triggered and carry out the selection of refrigeration modes or the adjustment of computer room temperature, keep computer room temperature within the scope of computer room temperature.
Compared with prior art, the present invention is by calculating the present load of machine room and estimating the load summit phase, carry out temperature adjusting in advance, ensure that machine room can normally run in the load summit phase to reach, equally also it is expected to out load low ebb, switch refrigeration mode or regulate air-conditioner temperature.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from instructions, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in instructions, claims and accompanying drawing and obtain.
Accompanying drawing explanation
Accompanying drawing is used to provide the further understanding to technical solution of the present invention, and forms a part for instructions, is used from and explains technical scheme of the present invention, do not form the restriction to technical solution of the present invention with the embodiment one of the application.
Fig. 1 is the configuration diagram of controlling machine room temperature management system in a kind of embodiment medium cloud platform of the present invention.
Fig. 2 is the schematic flow sheet of controlling machine room temperature administrative law method in a kind of embodiment medium cloud platform of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, hereinafter will be described in detail to embodiments of the invention by reference to the accompanying drawings.It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combination in any mutually.
Can perform in the computer system of such as one group of computer executable instructions in the step shown in the process flow diagram of accompanying drawing.Further, although show logical order in flow charts, in some cases, can be different from the step shown or described by order execution herein.
Fig. 1 is the configuration diagram of controlling machine room temperature management system in a kind of embodiment medium cloud platform of the present invention.As shown in Figure 1, in this cloud platform, controlling machine room temperature management system comprises: at least one calculator room equipment, data center, data-mining module and temperature adjusting module, wherein data center and data-mining module are arranged in cloud platform.
Data center, for gathering and the service data of storage room equipment, and carries out visual conversion by the service data of collection and is sent to display device.
Particularly, service data is the data of reflection equipment running status, includes but not limited to CPU usage, the information such as memory usage.The service data gathered is generally be stored in the database of data center with data mode.The relevant service data collected can be carried out visual conversion according to user's request and is sent to the display device be connected with data center by data center, thus is supplied to user's visualization interface in display device, is convenient to user and checks the state that equipment runs.
Preferably, data center by the long-range capture apparatus service data of script mode, can regularly capture apparatus operation information stored in the database of data center, also can in real time capture apparatus operation information stored in the database of data center.
In addition, data center also pre-sets computer room temperature scope, and namely the highest threshold values of computer room temperature and minimum threshold values, be stored in the database of data center.
Data-mining module, carries out load analysis for the service data obtaining data central data, and visual conversion is carried out in load analysis is sent to display device.
Particularly, data-mining module obtains the service data of data central data and service data is carried out to the screening of invalid service data, and such as CPU usage is 0, thinks invalid service data, thus obtain effective service data for negative etc.; Carry out load analysis to effective service data, this load analysis is the apparatus of load predicted according to the equipment operating data in first time period in the second time period, wherein,
Apparatus of load includes but not limited to: CPU usage, memory usage, disk utilization rate etc.;
The apparatus of load in the second time period is predicted according to the equipment operating data in first time period, be specifically as follows: calculate apparatus of load in first time period according to the equipment operating data in first time period, the apparatus of load in the second time period is predicted according to apparatus of load amplitude of variation in first time period, such as CPU usage has larger amplification, calculates according to the amplitude of amplification and the current utilization rate gap with peak value.
In addition, the apparatus of load of the prediction that load analysis can obtain by data-mining module carries out visual conversion and is sent to display device, thus is supplied to user's visualization interface in display device.
Temperature adjusting module, for the load analysis according to data-mining module, carries out the selection of refrigeration modes or the adjustment of computer room temperature.
Particularly, when apparatus of load is large, computer room temperature is high; When apparatus of load hour, computer room temperature is low; Therefore, the apparatus of load of the prediction that temperature adjusting module can obtain according to load analysis, by the adjustment of the selection or computer room temperature of carrying out refrigeration modes, within the scope of computer room temperature computer room temperature being remained on pre-set, wherein refrigeration modes includes but not limited to: force the weak refrigeration of cold-peace.
In addition, the adjustment of the selection of refrigeration modes or computer room temperature can be carried out visual conversion and be sent to display device by temperature adjusting module, thus is supplied to user's visualization interface in display device.
Temperature adjusting module can carry out the selection of refrigeration modes or the adjustment of computer room temperature automatically, also can be the load analysis that user provides according to display device, and trigger temperatures regulation and control module carries out the selection of refrigeration modes or the adjustment of computer room temperature.
Based on controlling machine room temperature management system in the cloud platform shown in Fig. 1, Fig. 2 is the schematic flow sheet of controlling machine room temperature administrative law method in a kind of embodiment medium cloud platform of the present invention.As shown in Figure 2, in this cloud platform, controlling machine room temperature management method comprises:
Step 201, data center gathers and the service data of storage room equipment;
Step 202, the service data that data-mining module obtains data central data carries out load analysis, and this load analysis is the apparatus of load predicted according to the service data in first time period in the second time period;
Step 203, temperature adjusting module, according to the load analysis of data-mining module, carries out the selection of refrigeration modes or the adjustment of computer room temperature.
Method of the present invention also comprises:
Data center pre-sets and storage room temperature range; By script mode, the long-range capture apparatus service data of timing or real time remote capture apparatus service data; The service data of crawl is stored in the database of data center with data mode, and the service data of crawl is carried out visual conversion is sent to the display device be connected with data center.
Data-mining module obtains the service data of data central data, screening service data being carried out to invalid service data obtains effective service data, load analysis is carried out to effective service data, this load analysis is calculate apparatus of load in first time period according to the equipment operating data in first time period, predicts the apparatus of load in the second time period according to apparatus of load amplitude of variation in first time period; The apparatus of load of prediction load analysis obtained carries out visual conversion and is sent to display device.
The apparatus of load of the prediction that temperature adjusting module obtains according to load analysis, automatically the selection of refrigeration modes or the adjustment of computer room temperature is carried out, or, be triggered and carry out the selection of refrigeration modes or the adjustment of computer room temperature, within the scope of computer room temperature computer room temperature being remained on pre-set.
Enumerate an instantiation below and illustrate that maintenance computer room temperature is within the scope of computer room temperature.
17:00-18:00 data-mining module collects equipment operating data according to data center and carries out load analysis, show that apparatus of load has obvious amplification in first time period, then temperature adjusting module turns down temperature, tackles the load summit that may arrive within the second time period;
18:00-19:00 data-mining module collects equipment operating data according to data center and carries out load analysis, show that apparatus of load still continues to strengthen within the second time period, amplification is still obvious, then temperature adjusting module continues to turn down temperature, but within the second time period, compare amplification in first time period obviously reduce, and close to history peak value, therefore prediction apparatus of load within the 3rd time period does not have too significantly amplification.
19:00-20:00 data-mining module collects equipment operating data according to data center and carries out load analysis, show that apparatus of load amplification is mild within the 3rd time period, computer room temperature is gentle, to predict that within the 4th time period apparatus of load is without too great fluctuation process, the trickle adjustment temperature of temperature adjusting module.
21:00-22:00 data-mining module collects equipment operating data according to data center and carries out load analysis, show that apparatus of load starts slightly to decline within the 4th time period, computer room temperature declines, and predict that apparatus of load declines within the 5th time period, temperature adjusting module is trickle increases temperature.
22:00-23:00 data-mining module collects equipment operating data according to data center and carries out load analysis, show that apparatus of load starts obvious decline within the 5th time period, estimate that apparatus of load has obvious decline within the 6th time period, temperature adjusting module increases temperature.
23:00-00:00 data-mining module collects equipment operating data according to data center and carries out load analysis, show that apparatus of load obviously declines within the 6th time period, estimate that apparatus of load has obvious decline within the 7th time period, machine room will enter low load operation conditions, and temperature adjusting module increases temperature.
00:00-01:00 data-mining module collects equipment operating data according to data center and carries out load analysis, draws apparatus of load continuous decrease within the 7th time period, does not have obvious ascendant trend, and temperature adjusting module continues to maintain higher temperature.
The present invention is by calculating the present load of machine room and estimating the load summit phase, carry out temperature adjusting in advance, ensure that machine room can normally run in the load summit phase to reach, equally also it is expected to out load low ebb, switch refrigeration mode or regulate air-conditioner temperature, thus ensureing the normal operation of machine room.
Although the embodiment disclosed by the present invention is as above, the embodiment that described content only adopts for ease of understanding the present invention, and be not used to limit the present invention.Those of skill in the art belonging to any the present invention; under the prerequisite not departing from the spirit and scope disclosed by the present invention; any amendment and change can be carried out in the form implemented and details; but scope of patent protection of the present invention, the scope that still must define with appending claims is as the criterion.
Claims (10)
1. a controlling machine room temperature management method in cloud platform, is characterized in that, comprising:
Data center gathers the service data of calculator room equipment;
The service data that data-mining module obtains data central data carries out load analysis, and described load analysis is the apparatus of load predicted according to the service data in first time period in the second time period;
Temperature adjusting module, according to load analysis, carries out the selection of refrigeration modes or the adjustment of computer room temperature.
2. controlling machine room temperature management method in cloud platform according to claim 1, is characterized in that, described data center gathers and the service data of storage room equipment, is specially:
By script mode, the service data of the long-range crawl calculator room equipment of data center's timing or real time remote capture the service data of calculator room equipment.
3. controlling machine room temperature management method in cloud platform according to claim 2, is characterized in that, the described apparatus of load predicted according to the service data in first time period in the second time period, is specially:
Data-mining module calculates apparatus of load in first time period according to the equipment operating data in first time period, predicts the apparatus of load in the second time period according to apparatus of load amplitude of variation in first time period.
4. controlling machine room temperature management method in cloud platform according to claim 3, it is characterized in that, described method also comprises:
The service data of crawl is stored in the database of data center with data mode by data center, and the service data of crawl is carried out visual conversion is sent to the display device be connected with data center;
The apparatus of load of the prediction that load analysis obtains by data-mining module carries out visual conversion and is sent to the display device be connected with data center.
5. controlling machine room temperature management method in cloud platform according to claim 4, it is characterized in that, described data center pre-sets computer room temperature scope;
Described temperature adjusting module, according to load analysis, is carried out the selection of refrigeration modes or the adjustment of computer room temperature, is specially:
The apparatus of load of the prediction that temperature adjusting module obtains according to load analysis, automatically the selection of refrigeration modes or the adjustment of computer room temperature is carried out, or, be triggered and carry out the selection of refrigeration modes or the adjustment of computer room temperature, keep computer room temperature within the scope of computer room temperature.
6. a controlling machine room temperature management system in cloud platform, is characterized in that, comprising: at least one calculator room equipment, data center, data-mining module and temperature adjusting module, and wherein data center and data-mining module are arranged in cloud platform;
Described data center, for gathering the service data of calculator room equipment;
Described data-mining module, carries out load analysis for the service data obtaining data central data, and described load analysis is the apparatus of load predicted according to the service data in first time period in the second time period;
Described temperature adjusting module, for according to load analysis, carries out the selection of refrigeration modes or the adjustment of computer room temperature.
7. controlling machine room temperature management system in cloud platform according to claim 6, is characterized in that, described data center, specifically for:
By script mode, the service data of the long-range crawl calculator room equipment of data center's timing or real time remote capture the service data of calculator room equipment.
8. controlling machine room temperature management system in cloud platform according to claim 7, is characterized in that, described data-mining module, specifically for:
Obtain the service data of data central data, calculate apparatus of load in first time period according to the equipment operating data in first time period, predict the apparatus of load in the second time period according to apparatus of load amplitude of variation in first time period.
9. controlling machine room temperature management system in cloud platform according to claim 8, it is characterized in that, described data center, also for the service data of crawl is stored in the database of data center with data mode, and the service data of crawl is carried out visual conversion be sent to the display device be connected with data center;
Described temperature adjusting module, also carries out visual conversion for the apparatus of load of prediction load analysis obtained and is sent to the display device be connected with data center.
10. controlling machine room temperature management system in cloud platform according to claim 9, is characterized in that, described data center, also for pre-setting computer room temperature scope;
Described temperature adjusting module, specifically for: according to the apparatus of load of the prediction that load analysis obtains, automatically carry out the selection of refrigeration modes or the adjustment of computer room temperature, or, be triggered and carry out the selection of refrigeration modes or the adjustment of computer room temperature, keep computer room temperature within the scope of computer room temperature.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106440261A (en) * | 2016-11-10 | 2017-02-22 | 深圳益强信息科技有限公司 | Machine room temperature control system and method based on Internet of Things |
CN107543277A (en) * | 2016-06-22 | 2018-01-05 | 维谛技术有限公司 | A kind of temprature control method, apparatus and system |
CN111795488A (en) * | 2020-07-10 | 2020-10-20 | 哈尔滨工程大学 | Intelligent temperature regulation and control system and method for distributed machine room |
CN112698618A (en) * | 2020-12-29 | 2021-04-23 | 济南浪潮高新科技投资发展有限公司 | Server alarm recognition system based on machine vision technology |
CN112800630A (en) * | 2021-03-22 | 2021-05-14 | 南京群顶科技有限公司 | Terminal precise air conditioner optimization control method and system based on reinforcement learning |
CN113339913A (en) * | 2021-06-21 | 2021-09-03 | 深圳市英维克科技股份有限公司 | Control method, system, device and medium for air conditioner heat pipe cooling system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB1362605A (en) * | 1971-02-26 | 1974-08-07 | Linde Ag | Temperature control circuits |
CN102705955A (en) * | 2012-01-12 | 2012-10-03 | 李彬 | Environmental and refrigerating cloud management system |
CN103401699A (en) * | 2013-07-18 | 2013-11-20 | 深圳先进技术研究院 | Cloud data center security monitoring early warning system and method |
CN103543718A (en) * | 2013-10-16 | 2014-01-29 | 浪潮创新科技有限公司 | Internet of Things based intelligent IDC (Internet data center) computer room monitoring system |
-
2015
- 2015-07-21 CN CN201510432263.4A patent/CN105183032B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB1362605A (en) * | 1971-02-26 | 1974-08-07 | Linde Ag | Temperature control circuits |
CN102705955A (en) * | 2012-01-12 | 2012-10-03 | 李彬 | Environmental and refrigerating cloud management system |
CN103401699A (en) * | 2013-07-18 | 2013-11-20 | 深圳先进技术研究院 | Cloud data center security monitoring early warning system and method |
CN103543718A (en) * | 2013-10-16 | 2014-01-29 | 浪潮创新科技有限公司 | Internet of Things based intelligent IDC (Internet data center) computer room monitoring system |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107543277A (en) * | 2016-06-22 | 2018-01-05 | 维谛技术有限公司 | A kind of temprature control method, apparatus and system |
CN106440261A (en) * | 2016-11-10 | 2017-02-22 | 深圳益强信息科技有限公司 | Machine room temperature control system and method based on Internet of Things |
CN111795488A (en) * | 2020-07-10 | 2020-10-20 | 哈尔滨工程大学 | Intelligent temperature regulation and control system and method for distributed machine room |
CN111795488B (en) * | 2020-07-10 | 2021-11-02 | 哈尔滨工程大学 | Intelligent temperature regulation and control system and method for distributed machine room |
CN112698618A (en) * | 2020-12-29 | 2021-04-23 | 济南浪潮高新科技投资发展有限公司 | Server alarm recognition system based on machine vision technology |
CN112800630A (en) * | 2021-03-22 | 2021-05-14 | 南京群顶科技有限公司 | Terminal precise air conditioner optimization control method and system based on reinforcement learning |
CN113339913A (en) * | 2021-06-21 | 2021-09-03 | 深圳市英维克科技股份有限公司 | Control method, system, device and medium for air conditioner heat pipe cooling system |
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Effective date of registration: 20180821 Address after: 200436 Room 411, No. three, JIANGCHANG Road, Jingan District, Shanghai, 411 Patentee after: Shanghai wave Cloud Computing Service Co., Ltd. Address before: 100085 floor 1, C 2-1, No. 2, Shang Di Road, Haidian District, Beijing. Patentee before: Electronic information industry Co.,Ltd of the tide (Beijing) |