CN102156533A - Method for controlling power consumption of machine cabinet cluster system - Google Patents
Method for controlling power consumption of machine cabinet cluster system Download PDFInfo
- Publication number
- CN102156533A CN102156533A CN2011100463118A CN201110046311A CN102156533A CN 102156533 A CN102156533 A CN 102156533A CN 2011100463118 A CN2011100463118 A CN 2011100463118A CN 201110046311 A CN201110046311 A CN 201110046311A CN 102156533 A CN102156533 A CN 102156533A
- Authority
- CN
- China
- Prior art keywords
- group system
- rack group
- power consumption
- rack
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Cooling Or The Like Of Electrical Apparatus (AREA)
- Power Sources (AREA)
Abstract
The invention discloses a method for controlling power consumption of a machine cabinet cluster system. The method comprises the following steps of: monitoring the power of machine cabinets of the machine cabinet cluster system in real time, and determining hotspot distribution information of the machine cabinets according to monitoring results; determining a cluster system temperature according to the determined hotspot distribution information so as to obtain a machine cabinet cluster system temperature parameter corresponding to the machine cabinet cluster system; judging whether the machine cabinet cluster system temperature parameter reaches a preset temperature parameter; and if the machine cabinet cluster system temperature parameter does not reach the preset temperature parameter, adjusting the power consumption of the machine cabinet cluster system. By the method for controlling the power consumption of the machine cabinet cluster system, the power consumption of the machine cabinet cluster system can be controlled and distributed immediately and effectively, and the power consumption waste can be avoided.
Description
Technical field
The present invention relates to the rack cluster field, relate in particular to a kind of power consumption control method of rack group system.
Background technology
At present, in calculating the rack group system, can deposit more rack usually.These racks can produce bigger heat when work, the server machine in-cabinet temperature is too high to be the ubiquitous problem of data center.For the normal operation that guarantees rack and the serviceable life of rack, rack is dispelled the heat and freezes is the previous commonplace measure of order.Yet, in energy shortage more and more serious today, carry out the research of the aspect of cluster power consumption control and management, have very high society and economic worth to saving electric power resource.
Usually, the mode of heat radiation mainly is to install an air-conditioner in the rack group system or directly to rack group system discharging cold air, owing to load in the rack group system spatially and be pockety on the time, the distribution that causes temperature also is uneven, and focus and cold spot are arranged.The heat dissipation design of existing rack group system is based on generally that thermodynamics stable state system carries out, and has caused a large amount of energy and the waste of resource.Therefore, by setting up thermodynamics heat radiation model, set up the real-time monitoring of cluster power consumption and the mechanism that power consumption is distributed, accurately freezing is one of present research emphasis.
Mainly be that the radiating mode of rack group system is simulated at present, thereby determine refrigeration modes.Usually the analog form that is adopted mainly contains following two kinds:
(1) Finite Element Method: adopt distributed model.This method is set up the model of object in computing machine, it is divided into hundreds of thousands even junior unit up to a million, provide the external condition simulation of dispelling the heat then, afterwards, need carry out a large amount of computings by computing machine, every bit is simulated, and the advantage of this method is that degree of accuracy is higher as a result, and error is generally about 10%.But because the calculated amount in simulation process is very big, when simulating in conjunction with the thermodynamic behaviour of each rack, calculating scale and time can increase several magnitude.
(2) experimental formula method: use centralized model.Centralized model is just represented the parts of being concerned about with an abstract point for distributed model, this point has the numerical value of physical parameters such as temperature, power, represents whole parts; Parts have volume, and its temperature inside may be different at diverse location, and this abstract point does not have volume, has only a temperature, represents whole parts.The model of Jian Liing is just fairly simple like this.Because most of lattice points are very little with the temperature difference of contiguous lattice point in the Finite Element Method, so carried out a large amount of unnecessary calculating, in order to address this problem, the experimental formula method is according to the material of object, geometric configuration, simulate with heat exchange pattern, can simplify heat transfer process, and when simulation, can replace distributed model with centralized model, the experimental formula of having summed up in view of the above with reference to forefathers, can rule of thumb adjust heat-conduction coefficient, its advantage is the computation process simple and fast, shortcoming is that error is bigger, the object of only suitable geometric configuration comparison rule is especially in complicated system, owing to will use a plurality of experimental formulas, result's precision can be subjected to the obvious influence of accumulated error, can not obtain good simulate effect.
A kind of computer to dissipate heat analogy method is provided in the Chinese patent application of publication number for CN101650760A.This computer to dissipate heat analogy method comprises: each rack in the machine room is carried out the real-time monitoring and the analysis of power, determine that according to monitored results the focus at each rack place distributes; Utilize centralized model to determine the temperature of each rack internal part,, utilize Finite Element Method to determine the temperature of each rack place focus according to the temperature of each rack internal part, and the temperature of definite machine room.The calculated amount that said method has solved the existence of cooling machine cabinet simulation mechanism is big, degree of accuracy is low and the problem of the comparatively serious power consumption that lags behind.
Yet rack and cooling device have accounted for the share more than 80% altogether in the general power in the rack group system, and the heat that produces when the function of cooling device is moved with server is closely related.In said method, only relate to the temperature of determining the rack group system.Thereby the defective of this method is after definite rack group system temperature, can not be in time, effectively the rack group system is carried out power consumption control and distribution.In addition, because can not be in time, effectively the rack group system is carried out power consumption control and distribution, so can cause and produce negative consequence owing to temperature is too high, and the situation of all taking the mode of high-power refrigeration plant to dispel the heat for excessive temperature and higher temperature can appear, can cause power wastage like this.
Summary of the invention
At can not be in time in the prior art, effectively the rack group system is carried out power consumption control and distribution, and the defective that causes power wastage etc.The present invention proposes a kind of power consumption control method of rack group system,, avoid technical matterss such as power wastage how to solve to rack group system power consumption control and distribution.
Power consumption control method according to a kind of rack group system of the present invention comprises: the rack in the rack group system is carried out the real-time monitoring of power, determine focus distributed intelligence in the rack according to monitored results; According to determined focus distributed intelligence, determine the group system temperature, to obtain and the corresponding rack group system of rack group system temperature parameter; Judge whether rack group system temperature parameter reaches the preset temperature parameter; And if rack group system temperature parameter do not reach the preset temperature parameter, adjust for the power consumption of rack group system.
Preferably, according to determined focus distributed intelligence, determine the group system temperature, comprise with acquisition and the corresponding rack group system of rack group system temperature parameter step:, utilize centralized model to determine the temperature of rack interior zone according to determined focus distributed intelligence; According to the temperature of rack interior zone, utilize Finite Element Method to determine the temperature of rack, to determine rack group system temperature; Determine rack group system temperature parameter.
Preferably, the rack group system comprises rack and refrigeration plant.
Preferably, the step of adjusting for the power consumption of rack group system comprises: the power consumption to refrigeration plant is adjusted.
Preferably, the step that the power consumption of refrigeration plant is adjusted comprises: the power consumption that improves or reduce refrigeration plant; Perhaps open or close refrigeration plant.
Preferably, the step of adjusting for the power consumption of rack group system comprises: the power consumption to the equipment that moves in the rack is adjusted.
Preferably, the focus distributed intelligence comprise focus quantity and with the positional information of the corresponding rack interior zone of each focus.
Preferably, rack group system temperature is to determine by the thermal resistance between focus and with the corresponding power of positional information.
Preferably, rack group system temperature parameter comprises rack group system temperature changing speed, rack group system range of temperature and rack group system temperature real time temperature value; And the preset temperature parameter comprises: preset temperature pace of change, preset temperature amplitude of variation and preset temperature value.
Power consumption control method by rack group system of the present invention can be in time, effectively the rack group system is carried out power consumption control and distribution, and avoid power wastage.
Other features and advantages of the present invention will be set forth in the following description, and, partly from instructions, become apparent, perhaps understand by implementing the present invention.Purpose of the present invention and other advantages can realize and obtain by specifically noted structure in the instructions of being write, claims and accompanying drawing.
Description of drawings
Accompanying drawing is used to provide further understanding of the present invention, and constitutes the part of instructions, is used from explanation the present invention with embodiments of the invention one, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the process flow diagram according to total body controlling means of the rack group system power consumption of the embodiment of the invention;
Fig. 2 is the process flow diagram of the power consumption control method of rack group system according to an embodiment of the invention;
Fig. 3 is the process flow diagram of the power consumption control method of rack group system according to another embodiment of the present invention;
Fig. 4 is the process flow diagram according to the power consumption control method of the rack group system of further embodiment of this invention;
Fig. 5 is the process flow diagram according to the acquisition rack group system temperature parameter method of the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein only is used for description and interpretation the present invention, and be not used in qualification the present invention.
Fig. 1 is the process flow diagram according to total body controlling means of the rack group system power consumption of the embodiment of the invention.
As shown in Figure 1, the power consumption control method of the rack group system of present embodiment comprises:
Step S102: the rack in the rack group system is carried out the real-time monitoring of power, determine focus distributed intelligence in the rack according to monitored results, wherein, the focus distributed intelligence comprises the quantity and the positional information of focus.For high-power rack, can be considered a plurality of focuses (quantity that is to say focus is by the power decision).Under default situations, these focuses are in the inner evenly distribution of rack.Under the situation that can accurately know each regional power in the rack (for example device power supply (DPS) can provide power information accurately), focus is according to the position distribution of equipment in rack, but a zone can only be represented with a focus at the most.Thus, by rack being divided into a plurality of zones, and the zone is corresponding with focus, can more easily determine the quantity and the positional information of focus, thereby improve the efficient of rack group system power consumption control process.
Step S104: according to determined focus distributed intelligence, determine the group system temperature, to obtain and the corresponding rack group system of rack group system temperature parameter.Fig. 5 shows the flow process according to the acquisition rack group system temperature parameter method of the embodiment of the invention.As shown in Figure 5, can specifically obtain rack group system temperature parameter: step S502 by the following method:, utilize centralized model to determine the temperature of rack interior zone according to determined focus distributed intelligence.Wherein, the focus distributed intelligence comprise focus quantity and with the positional information of the corresponding rack interior zone of each focus.Step S504: according to the temperature of rack interior zone, utilize Finite Element Method to determine the temperature of rack, to determine rack group system temperature.Step S506: determine rack group system temperature parameter.Rack group system temperature parameter comprises rack group system temperature changing speed, rack group system range of temperature and rack group system temperature real time temperature value.It will be understood by those skilled in the art that this rack group system temperature parameter is not limited to the top content that is limited, and can also comprise multiple other parameter.
Step S106: judge whether rack group system temperature parameter reaches the preset temperature parameter.If reached, then get back to step S102; If do not reach, then need to carry out step S108.
Step S108:, adjust for the power consumption of rack group system if rack group system temperature parameter does not reach the preset temperature parameter.Adjustment process has comprised dual mode, is directed to the power consumption of the equipment that moves in the power consumption of refrigeration plant and the rack respectively.
Below, will be by the mode of example, the multiple mode that the power consumption of rack group system is adjusted is described in detail.
Embodiment 1
Fig. 2 is the process flow diagram of the power consumption control method of rack group system according to an embodiment of the invention.Wherein, step S202 is identical with step S102, and step S204 is identical with step S 104.Do not repeat them here with content identical among Fig. 1.
Step S206: judge whether rack group system temperature parameter reaches the preset temperature parameter.If reached, then get back to step S202; If do not reach, then need to carry out step S208.
Step S208: the power consumption to refrigeration plant is adjusted.For example, too fast when rack group system temperature changing speed, rack group system range of temperature is excessive and rack group system temperature real time temperature value too high or low excessively the time, just need adjust for the power consumption of refrigeration plant.Concrete, comprise and be not limited to improve or reduce the power consumption or the unlatching of refrigeration plant or close refrigeration plant, be in order to react rapidly, in case rack group system temperature produces harm for the rack group system like this for rack group system temperature.Can raise or reduce rack group system temperature rapidly by such power consumption adjustment.
Embodiment 2
Fig. 3 is the process flow diagram of the power consumption control method of rack group system according to another embodiment of the present invention.Wherein, step S302 is identical with step S102, and step S304 is identical with step S104.Do not repeat them here with content identical among Fig. 1.
Step S306: judge whether rack group system temperature parameter reaches the preset temperature parameter.If reached, then get back to step S302; If do not reach, then need to carry out step S308.
Step S308: the power consumption for the equipment that moves in the rack is adjusted.For example, when rack group system temperature changing speed is slow, rack group system range of temperature is less and rack group system temperature real time temperature value is compared gap little the time with normal value, only need adjust for the power consumption of the equipment that moves in the rack.The power consumption of adjusting the equipment that moves in the rack comprises and being not limited to, and closes the operation of inessential parts, adjusts supply voltage or system is converted to holding state or the like.Because the rack group system temperature of this moment is not sufficient to endanger this system, finely tune the temperature that both can reduce the rack group system, avoided the waste (comprise the power consumption that the rack group system reduces and use the issuable power consumption of refrigeration plant) of power consumption again.Can be by such power consumption adjustment with the adjustment process of rack group system fine tune temperature to normal range.
Embodiment 3
Fig. 4 is the process flow diagram according to the power consumption control method of the rack group system of further embodiment of this invention.Step S402 is identical with step S102, and step S404 is identical with step S104.Do not repeat them here with content identical among Fig. 1.
Step S406: judge whether rack group system temperature parameter reaches the preset temperature parameter.If reached, then get back to step S402; If do not reach, then need to carry out step S408.
Step S408: the power consumption to refrigeration plant is adjusted, thereby raises rapidly or reduction rack group system temperature, carries out step S410 afterwards.
Step S410: the power consumption for the equipment that moves in the rack is adjusted, thereby with the adjustment process of rack group system fine tune temperature to normal range.
In the present embodiment, adjust for the refrigeration plant power consumption earlier, thereby rapidly rack group system temperature is reduced in the normal range, again to adjust for the power consumption of the equipment that moves in the rack, thereby with the adjustment process of rack group system fine tune temperature to normal range.Like this, both avoided equipment, saved power consumption again, avoided the waste of the energy owing to too high or low excessively temperature causes damage.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. the power consumption control method of a rack group system is characterized in that, comprising:
Rack in the rack group system is carried out the real-time monitoring of power, determine focus distributed intelligence in the described rack according to monitored results;
According to determined focus distributed intelligence, determine the group system temperature, to obtain and the corresponding rack group system of described rack group system temperature parameter;
Judge whether described rack group system temperature parameter reaches the preset temperature parameter; And
If described rack group system temperature parameter does not reach the preset temperature parameter, adjust for the power consumption of described rack group system.
2. method according to claim 1 is characterized in that, describedly determines the group system temperature according to determined focus distributed intelligence, comprises with the corresponding rack group system of described rack group system temperature parameter step obtaining:
Described according to determined focus distributed intelligence, utilize centralized model to determine the temperature of rack interior zone;
According to the temperature of described rack interior zone, utilize Finite Element Method to determine the temperature of described rack, to determine described rack group system temperature;
Determine described rack group system temperature parameter.
3. method according to claim 1 is characterized in that, described rack group system comprises described rack and refrigeration plant.
4. method according to claim 3 is characterized in that, the described step of adjusting for the power consumption of described rack group system comprises:
Power consumption to described refrigeration plant is adjusted.
5. method according to claim 4 is characterized in that, the described step that the power consumption of described refrigeration plant is adjusted comprises:
Improve or reduce the power consumption of described refrigeration plant; Perhaps
Open or close described refrigeration plant.
6. according to each described method in the claim 3 to 5, it is characterized in that the described step of adjusting for the power consumption of described rack group system comprises:
Power consumption to the equipment that moves in the described rack is adjusted.
7. method according to claim 2 is characterized in that, described focus distributed intelligence comprise focus quantity and with the positional information of the corresponding described rack interior zone of each described focus.
8. method according to claim 7 is characterized in that, described rack group system temperature is to determine by the thermal resistance between described focus and with the corresponding power of described positional information.
9. method according to claim 8 is characterized in that, described rack group system temperature parameter comprises rack group system temperature changing speed, rack group system range of temperature and rack group system temperature real time temperature value; And
Described preset temperature parameter comprises: preset temperature pace of change, preset temperature amplitude of variation and preset temperature value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011100463118A CN102156533B (en) | 2011-02-25 | 2011-02-25 | Method for controlling power consumption of machine cabinet cluster system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011100463118A CN102156533B (en) | 2011-02-25 | 2011-02-25 | Method for controlling power consumption of machine cabinet cluster system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102156533A true CN102156533A (en) | 2011-08-17 |
| CN102156533B CN102156533B (en) | 2013-02-13 |
Family
ID=44438056
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011100463118A Active CN102156533B (en) | 2011-02-25 | 2011-02-25 | Method for controlling power consumption of machine cabinet cluster system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102156533B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102749987A (en) * | 2012-06-20 | 2012-10-24 | 武汉理工大学 | High energy efficiency resource allocating method for isomorphic cluster system of computer |
| CN104615447A (en) * | 2015-03-12 | 2015-05-13 | 浪潮集团有限公司 | Method for reusing monitor management software of server of whole-machine cabinet |
| CN113721741A (en) * | 2021-08-26 | 2021-11-30 | 联泰集群（北京）科技有限责任公司 | Control method and system for heat dissipation of high-performance computing cluster platform |
| CN116400764A (en) * | 2023-05-29 | 2023-07-07 | 中国雄安集团数字城市科技有限公司 | Control method and device for machine room environment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007080177A (en) * | 2005-09-16 | 2007-03-29 | Daiwa Can Co Ltd | Temperature distribution simulation device and method |
| CN101650760A (en) * | 2009-08-28 | 2010-02-17 | 曙光信息产业(北京)有限公司 | Heat dissipation simulation method and device of computer |
| CN101949574A (en) * | 2010-09-30 | 2011-01-19 | 胡博 | Air-conditioner temperature control system |
-
2011
- 2011-02-25 CN CN2011100463118A patent/CN102156533B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007080177A (en) * | 2005-09-16 | 2007-03-29 | Daiwa Can Co Ltd | Temperature distribution simulation device and method |
| CN101650760A (en) * | 2009-08-28 | 2010-02-17 | 曙光信息产业(北京)有限公司 | Heat dissipation simulation method and device of computer |
| CN101949574A (en) * | 2010-09-30 | 2011-01-19 | 胡博 | Air-conditioner temperature control system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102749987A (en) * | 2012-06-20 | 2012-10-24 | 武汉理工大学 | High energy efficiency resource allocating method for isomorphic cluster system of computer |
| CN102749987B (en) * | 2012-06-20 | 2014-12-03 | 武汉理工大学 | High energy efficiency resource allocating method for isomorphic cluster system of computer |
| CN104615447A (en) * | 2015-03-12 | 2015-05-13 | 浪潮集团有限公司 | Method for reusing monitor management software of server of whole-machine cabinet |
| CN113721741A (en) * | 2021-08-26 | 2021-11-30 | 联泰集群（北京）科技有限责任公司 | Control method and system for heat dissipation of high-performance computing cluster platform |
| CN116400764A (en) * | 2023-05-29 | 2023-07-07 | 中国雄安集团数字城市科技有限公司 | Control method and device for machine room environment |
| CN116400764B (en) * | 2023-05-29 | 2023-10-27 | 中国雄安集团数字城市科技有限公司 | Control method and device for machine room environment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102156533B (en) | 2013-02-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zheng et al. | Exploiting thermal energy storage to reduce data center capital and operating expenses | |
| EP3073204B1 (en) | Method, and device for controlling the output of the air volume and memory medium | |
| US20120226922A1 (en) | Capping data center power consumption | |
| CN102156533B (en) | Method for controlling power consumption of machine cabinet cluster system | |
| US20070213881A1 (en) | Liquid cooling of electronic device environments | |
| KR101754536B1 (en) | Method and apparatus for optimum control of refrigerator using building energy management system | |
| CN105302182B (en) | A kind of server liquid-cooling heat radiation energy-saving control system and method | |
| CN104733801A (en) | Power cell heat management device and method | |
| CN101650760B (en) | Heat dissipation simulation method and device of computer | |
| Yao et al. | Adaptive power management through thermal aware workload balancing in internet data centers | |
| Zhou et al. | Cost estimation models of MJ class HTS superconducting magnetic energy storage magnets | |
| CN109616719B (en) | Air conditioner temperature control system and control method based on temperature difference of energy storage battery | |
| CN104516470A (en) | Server power dissipation control method and system | |
| CN105825295A (en) | Space load predication method with consideration of cellular development degree | |
| CN106288167A (en) | A kind of method for controlling machine room air conditioner and system | |
| CN107977741A (en) | The energy method for optimizing scheduling of supply of cooling, heating and electrical powers micro-grid system | |
| CN116780040A (en) | Temperature control method, system and storage medium | |
| CN107489639B (en) | A kind of fan rotary speed control system and method | |
| Zhu et al. | Analysis of the structure arrangement on the thermal characteristics of Li‐ion battery pack in thermoelectric generator | |
| Li et al. | Placement optimization of liquid-cooled servers for power minimization in data centers | |
| CN116072437A (en) | Energy storage thermal management system, control method and control device | |
| WO2023272956A1 (en) | Method and terminal for estimating heating power of storage and charging station | |
| CN103744739B (en) | A kind of method improving hard disk reliability based on multiobjectives decision | |
| CN106096874A (en) | The energy efficiency managing method of data center, device and system | |
| EP3032777A1 (en) | Reliability management of green transmission interfaces |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB02 | Change of applicant information |
Address after: 100193 Beijing, Haidian District, northeast Wang West Road, building 8, No. 36 Applicant after: Dawning Information Industry (Beijing) Co.,Ltd. Address before: 100084 Beijing Haidian District City Mill Street No. 64 Applicant before: Dawning Information Industry (Beijing) Co.,Ltd. |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information |
Inventor after: Calendar Army Inventor after: Li Lin Inventor after: Zhang Jinfeng Inventor before: Li Lin Inventor before: Zhang Jinfeng |
|
| COR | Change of bibliographic data | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220727 Address after: 100089 building 36, courtyard 8, Dongbeiwang West Road, Haidian District, Beijing Patentee after: Dawning Information Industry (Beijing) Co.,Ltd. Patentee after: DAWNING INFORMATION INDUSTRY Co.,Ltd. Address before: 100193 No. 36 Building, No. 8 Hospital, Wangxi Road, Haidian District, Beijing Patentee before: Dawning Information Industry (Beijing) Co.,Ltd. |
|
| TR01 | Transfer of patent right |