Movatterモバイル変換


[0]ホーム

URL:


CN106996623B - Central air conditioner room control method under energy consumption limit - Google Patents

Central air conditioner room control method under energy consumption limit
Download PDF

Info

Publication number
CN106996623B
CN106996623BCN201710284519.0ACN201710284519ACN106996623BCN 106996623 BCN106996623 BCN 106996623BCN 201710284519 ACN201710284519 ACN 201710284519ACN 106996623 BCN106996623 BCN 106996623B
Authority
CN
China
Prior art keywords
energy consumption
consumption limit
water pump
central air
power
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.)
Active
Application number
CN201710284519.0A
Other languages
Chinese (zh)
Other versions
CN106996623A (en
Inventor
王俊
牛道恒
许春明
唐利晓
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Qingyun Energy Group Co ltd
Original Assignee
Beijing Qingkong Clean Energy Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Qingkong Clean Energy Technology Co LtdfiledCriticalBeijing Qingkong Clean Energy Technology Co Ltd
Priority to CN201710284519.0ApriorityCriticalpatent/CN106996623B/en
Publication of CN106996623ApublicationCriticalpatent/CN106996623A/en
Application grantedgrantedCritical
Publication of CN106996623BpublicationCriticalpatent/CN106996623B/en
Activelegal-statusCriticalCurrent
Anticipated expirationlegal-statusCritical

Links

Classifications

Landscapes

Abstract

The invention discloses the central air conditioner room control methods under a kind of energy consumption limit, firstly, setting energy consumption limit information, after system receives energy consumption limit, is predicted, and export energy consumption limit response according to energy consumption limit operating status;To in time energy consumption limit time started since pretreatment time, building enters energy accumulating state or maintains state;Enter energy consumption limit state after reaching the energy consumption limit time started, calculate current assignable general power, the general power that will currently distribute, it is allocated between Central air-conditioning unit, chilled water pump, cooling water pump, cooling tower, after reaching the energy consumption limit time started, then cooling water pump, cooling tower, chilled water pump and unit are restored to non-energy consumption limit state operation.The present invention can make to build the control of central air conditioner system energy consumption in quota limit, and meet comfort level requirement as far as possible, on the one hand can mitigate power grid power supply pressure, on the one hand reduce the influence to constructing operation, guarantee the orderly progress of economic activity.

Description

Central air conditioner room control method under energy consumption limit
Technical field
The present invention relates to the central air conditioner room control methods under a kind of energy consumption limit, belong to Air-condition system control technology neckDomain.
Background technique
With the development of Chinese Urbanization and process of industrialization, the scale and quantity of public building and industrial building constantly increaseAdd, building energy consumption constantly rises.And central air-conditioning is the energy consumption rich and influential family in building, generally occupies the 40%~60% of buildingEnergy consumption.When power supply capacity is unable to satisfy power demand, if building central air conditioner system can control energy consumption in limit modelIn enclosing, and meet comfort level requirement as far as possible, then on the one hand can mitigate power grid power supply pressure, on the one hand reduce and building is transportedCapable influence guarantees the orderly progress of economic activity.
The method for solving energy consumption limit at present is that implementation plan has a power failure, and in specific time period, closes building central air conditioner system,To complete energy consumption limit plan.But scheduled outage generally require in advance a couple of days according to power grid power supply capacity and power demand intoA possibility that rigidity power failure plan is formulated in row prediction, and there are excessive power failures;Secondly, building central air-conditioning system during scheduled outageSystem completely closes, and building function is a greater impact.
Summary of the invention
The technical problem to be solved by the present invention is to overcome the deficiencies of existing technologies, the center under a kind of energy consumption limit is providedAir Conditioning Facilities control method, building central air conditioner system dynamically adjust operating status according to the power supply capacity of power grid, meet electricityWhile net demand, the influence to building function is reduced most possibly.
In order to solve the above technical problems, the present invention provides the central air conditioner room control method under a kind of energy consumption limit, packetInclude following steps:
1) the energy consumption limit of special time period, energy consumption limit letter are set by data communication interface or personnel's input modeBreath includes energy consumption limit time started Tst, energy consumption limit dwell time Tend, maximal input Nlmt, maximum electricity consumption Plmt
2) it is pre- to being carried out in energy consumption clipping time section according to energy consumption limit operating status first after system receives energy consumption limitIt surveys, and exports energy consumption limit response;
3) enter energy consumption limit state, from pretreatment time TpreStart to energy consumption limit time started TstIn time, buildingInto cold-storage state or maintain state;The pretreatment time TpreAccording to the water outlet of the load side of central air conditioner system according to beingThe minimum flow rate of system operation is recycled to the time of farthest end to determine;
4) by the energy consumption limit time started T of settingstCompared with the real time, enter after reaching the energy consumption limit time startedEnergy consumption limit state, not up to energy consumption limit time started then repeat step 3), continue cold-storage;
5) it is brought into operation by the energy consumption limit time started, can currently be distributed according to the prediction data calculating in the step 2)General power;
6) power level is calculated according to the actual parameter of equipment and load rate of plant, power level is divided into three-level, power stageOther 1 is Nset1, power level 2 is Nset2, power level 3 is Nset3
7) the current distribute general power N obtained by step 4)all(t0) the value N of power level 1 that obtains with step 6)set1It makes comparisons, if Nall(t0) it is greater than Nset1, then cooling water pump, cooling tower are run according to non-energy consumption limit state, dump power pointDispensing chilled water pump and unit, chilled water pump and unit are according to rate of load condensate η1Operation;Then it is transferred to step 10);Otherwise it is transferred to stepIt is rapid 8);
8) the current distribute general power N obtained by step 4)all(t0) the value N of power level 2 that obtains with step 6)set2It makes comparisons, if Nall(t0) it is less than Nset1And it is greater than Nset2, then cooling water pump, chilled water pump, cooling tower and unit are according to loadRate η2Operation;Then it is transferred to step 10);Otherwise it is transferred to step 9);
9) the current distribute general power N obtained by step 4)all(t0) the value N of power level 3 that obtains with step 6)set3It makes comparisons, if Nall(t0) it is less than Nset2And it is greater than Nset3, then stop cooling water pump, cooling tower and unit operation, chilled water pumpIt is run according to minimum load rate;If Nall(t0) it is less than Nset3, then stop cooling water pump, cooling tower, chilled water pump and unit fortuneRow;Then it is transferred to step 10);
10) by the energy consumption limit dwell time T of settingendCompared with the real time, it is laggard to reach energy consumption limit dwell timeEnter non-energy consumption limit normal operating condition, not up to energy consumption limit dwell time then return step 5), until reaching energy consumption limitDwell time restores normal operating condition.
In aforementioned step 2), using prediction algorithm neural network based, according to historical data and current data, predictionElectricity consumption P of the central air conditioner system in energy consumption clipping time section normal operation outf, system real-time load Qf(t) and systemIn the general refrigeration ability C of energy consumption clipping time section normal needf, compare PfAnd Ps, work as PfGreater than PsWhen, then energy consumption limit response is exported,It enters step 3);Work as PfLess than PsWhen, then energy consumption limit response is not exported, and system is operated normally according to non-power consumption state, PsFor realityBorder residue available power.
Energy consumption limit response above-mentioned is real surplus available power PsWith central air conditioner system in energy consumption clipping time sectionThe electricity consumption P of normal operationf
In aforementioned step 3), cold-storage state is entered according to chilled water temperature and the judgement of indoor temperature and humidity data and is either tieed upState is held, system makes to export cooling capacity slightly larger than system loading by controlling central air-conditioning leaving water temperature, and building enters cold-storage state;When central air conditioning water temperature reaches system design lower bound, and indoor temperature and humidity reaches comfort level tolerance lower bound, system is logicalCrossing control central air-conditioning leaving water temperature makes to export cooling capacity and system loading balance, and building enters maintenance state.
In aforementioned step 5), current assignable general power Nall(t0) are as follows:
Nall(t0)=KQf(t0)
Wherein, t0For current time, Qf(t0) it is current system real-time load,
In aforementioned step 6), the calculation method of power level are as follows:
If η is load rate of plant, range is 0~1, wherein η=0 indicates equipment work in minimum load, and the expression of η=1 is setIt is standby to work in non-energy consumption limit state,
The relationship of load rate of plant and equipment operation power can be obtained according to facility information: unit load rate and unit are runPower relation is Nch(η), chilled water pump rate of load condensate and chilled water pump operation power relation are Nchwp(η), cooling water pump rate of load condensateIt is N with cooling water pump operation power relationcwp(η), cooling tower load rate and cooling tower operation power relation are Nct(η);
Power level calculating formula are as follows:
Power level 1:Nset1=Ncwp(1)+Nct(1)+Nchwp(0)+Nch(0);
Power level 2:Nset2=Ncwp(0)+Nct(0)+Nchwp(0)+Nch(0);
Power level 3:Nset3=Nchwp(0)。
In aforementioned step 7), η1Meet: Nch1)+Nchwp1)=Nall(t0)-Ncwp(1)-Nct(1)。
In aforementioned step 8), η2Meet: Nch2)+Nchwp2)+Ncwp2)+Nct2)=Nall(t0)。
Advantageous effects of the invention:
The present invention can make to build the control of central air conditioner system energy consumption in quota limit, dynamically adjust operating status,And meet comfort level requirement as far as possible, it on the one hand can mitigate power grid power supply pressure, on the one hand reduce the influence to constructing operation,Guarantee the orderly progress of economic activity.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the present invention.
Specific embodiment
The invention will be further described below.Following embodiment is only used for clearly illustrating technical side of the inventionCase, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, the central air conditioner room control method under energy consumption limit of the invention, comprising the following steps:
1) the energy consumption limit of special time period, energy consumption limit letter are set by data communication interface or personnel's input modeBreath includes energy consumption limit time started Tst, energy consumption limit dwell time Tend, maximal input Nlmt, maximum electricity consumption Plmt
2) after system receives energy consumption limit, first to section (the energy consumption limit time started to energy consumption limit energy consumption clipping timeDwell time) in predicted according to energy consumption limit operating status, and export energy consumption limit response.
Prediction algorithm neural network based is utilized in prediction algorithm, according to historical data and current data, predictsEntreat air-conditioning system in the electricity consumption P of energy consumption clipping time section normal operationf, system real-time load Qf(t) and system is in energyConsume the general refrigeration ability C of clipping time section normal needf, compare PfAnd Ps, work as PfGreater than PsWhen, then energy consumption limit response is exported, is enteredStep 3);Work as PfLess than PsWhen, then energy consumption limit response is not exported, and system is operated normally according to non-power consumption state, PsIt is practical surplusRemaining available power.
Energy consumption limit response is real surplus available power PsWith the electricity consumption P of forecasting system normal operationf
3) enter energy consumption limit state, from pretreatment time TpreStart to energy consumption limit time started TstIn time, buildingInto cold-storage state or maintain state;Pretreatment time TpreIt is discharged according to the load side of central air conditioner system and is transported according to systemCapable minimum flow rate is recycled to the time of farthest end to determine, is entered according to chilled water temperature and the judgement of indoor temperature and humidity dataCold-storage state either maintains state, and system makes output cooling capacity be slightly larger than system loading by controlling central air-conditioning leaving water temperature,Building enters cold-storage state;Lower bound is designed when central air conditioning water temperature reaches system, and indoor temperature and humidity reaches comfort levelWhen tolerating lower bound, system makes to export cooling capacity and system loading balance by controlling central air-conditioning leaving water temperature, and building, which enters, to be maintainedState.
4) by the energy consumption limit time started T of settingstCompared with the real time, enter after reaching the energy consumption limit time startedEnergy consumption limit state, not up to energy consumption limit time started then repeat step 3), continue cold-storage.
5) it is brought into operation, is calculated according to the prediction data in step 2) current assignable total by the energy consumption limit time startedPower Nall, based on assuming that load curve and computational constant K, load curve and energy consumption curve under energy consumption curve unanimous circumstancesUnder unanimous circumstances, constant K is fixed value, realtime power Nf(t), pass through the system real-time load Q of constant K and predictionf(t)Calculate current assignable total power input Nall, calculation are as follows:
Assuming that load curve is consistent with energy consumption curve, then exist:
Nf(t)=KQf(t)
K is constant, according to this formula to calculating,
∫Nf(t) dt=∫ KQf(t)dt
Cause are as follows:
Pf=∫ Nf(t)dt
Cf=∫ Qf(t)dt
So:
Pf=KCf
It obtains:
According to the system real-time load Q of predictionf(t) current time t is calculated0Assignable total power input Nall(t0):
Nall(t0)=KQf(t0)。
6) power level is calculated according to the actual parameter of equipment and load rate of plant,
If η is load rate of plant, range is 0~1, wherein η=0 indicates equipment work in minimum load, and the expression of η=1 is setStandby work is in non-energy consumption limit state.
The relationship of load rate of plant and equipment operation power can be obtained according to facility information: unit load rate and unit are runPower relation is Nch(η), chilled water pump rate of load condensate and chilled water pump operation power relation are Nchwp(η), cooling water pump rate of load condensateIt is N with cooling water pump operation power relationcwp(η), cooling tower load rate and cooling tower operation power relation are Nct(η);
Power level calculates, and according to the actual parameter calculated load rate of equipment, meets the normal operation of system, power levelCalculation are as follows:
Power level 1:Nset1=Ncwp(1)+Nct(1)+Nchwp(0)+Nch(0);
Power level 2:Nset2=Ncwp(0)+Nct(0)+Nchwp(0)+Nch(0);
Power level 3:Nset3=Nchwp(0)。
7) the current distribute general power N obtained by step 4)all(t0) the value N of power level 1 that obtains with step 6)set1It makes comparisons, if Nall(t0) it is greater than Nset1, then cooling water pump, cooling tower are run according to non-energy consumption limit state, dump power pointDispensing chilled water pump and unit, chilled water pump and unit are according to rate of load condensate η1Operation;η1Meet: Nch1)+Nchwp1)=Nall(t0)-Ncwp(1)-Nct(1), dump power, that is, Nall(t0)-Ncwp(1)-Nct(1)。
8) the current distribute general power N obtained by step 4)all(t0) the value N of power level 2 that obtains with step 6)set2It makes comparisons, if Nall(t0) it is less than Nset1And it is greater than Nset2, then cooling water pump, chilled water pump, cooling tower and unit are according to loadRate η2Operation;η2Meet: Nch2)+Nchwp2)+Ncwp2)+Nct2)=Nall(t0)。
9) the current distribute general power N obtained by step 4)all(t0) the value N of power level 3 that obtains with step 6)set3It makes comparisons, if Nall(t0) it is less than Nset2And it is greater than Nset3, then stop cooling water pump, cooling tower and unit operation, chilled water pumpIt is run according to minimum load rate;If Nall(t0) it is less than Nset3, then stop cooling water pump, cooling tower, chilled water pump and unit fortuneRow.Chilled water pump minimum load is Nchwp(0)。
10) by the energy consumption limit dwell time T of settingendCompared with the real time, it is laggard to reach energy consumption limit dwell timeEnter non-energy consumption limit normal operating condition, not up to energy consumption limit dwell time then return step 5), until reaching energy consumption limitDwell time restores normal operating condition.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the artFor member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformationsAlso it should be regarded as protection scope of the present invention.

Claims (8)

2. the central air conditioner room control method under energy consumption limit according to claim 1, which is characterized in that the step2) in, central air conditioner system is predicted in energy according to historical data and current data using prediction algorithm neural network basedConsume the electricity consumption P of clipping time section normal operationf, system real-time load Qf(t) and system energy consumption clipping time section justThe general refrigeration ability C often neededf, compare PfAnd Ps, work as PfGreater than PsWhen, then energy consumption limit response is exported, is entered step 3);Work as PfIt is less thanPsWhen, then energy consumption limit response is not exported, and system is operated normally according to non-power consumption state, PsFor real surplus available power.
4. the central air conditioner room control method under energy consumption limit according to claim 1, which is characterized in that the step3) in, cold-storage state is entered according to chilled water temperature and the judgement of indoor temperature and humidity data and either maintains state, system passes through controlCentral air-conditioning leaving water temperature processed makes to export cooling capacity slightly larger than system loading, and building enters cold-storage state;When central air conditioning waterTemperature reach system design lower bound, and indoor temperature and humidity reach comfort level tolerance lower bound when, system by control central hollow recallCoolant-temperature gage makes to export cooling capacity and system loading balances, and building enters maintenance state.
CN201710284519.0A2017-04-252017-04-25Central air conditioner room control method under energy consumption limitActiveCN106996623B (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN201710284519.0ACN106996623B (en)2017-04-252017-04-25Central air conditioner room control method under energy consumption limit

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN201710284519.0ACN106996623B (en)2017-04-252017-04-25Central air conditioner room control method under energy consumption limit

Publications (2)

Publication NumberPublication Date
CN106996623A CN106996623A (en)2017-08-01
CN106996623Btrue CN106996623B (en)2019-06-21

Family

ID=59435506

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN201710284519.0AActiveCN106996623B (en)2017-04-252017-04-25Central air conditioner room control method under energy consumption limit

Country Status (1)

CountryLink
CN (1)CN106996623B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US20210224645A1 (en)*2018-05-282021-07-22Alibaba Group Holding LimitedHierarchical concept based neural network model for data center power usage effectiveness prediction
CN109028472B (en)*2018-07-192021-02-23青岛海信日立空调系统有限公司Energy-saving control method of air conditioner
CN109631238A (en)*2019-01-282019-04-16宁波溪棠信息科技有限公司A kind of control system and control method improving air-conditioning system operational energy efficiency
WO2020198971A1 (en)*2019-03-292020-10-08亿可能源科技(上海)有限公司Management method and system, and control method and system for air conditioning system, and storage medium
CN114165896A (en)*2021-11-232022-03-11无锡多纬智控科技有限公司Central air-conditioning system electric power dynamic load peak regulation method

Citations (9)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN1165939A (en)*1996-01-101997-11-26三菱电机株式会社 Thermal Storage Air Conditioner and Its Thermal Storage Prediction Method
JP3104625B2 (en)*1996-09-302000-10-30ダイキン工業株式会社 Power calculation device and power calculation method for air conditioner
JP2003322381A (en)*2002-04-262003-11-14Hitachi Ltd Electricity billing system for air conditioners
CN101078552A (en)*2006-05-232007-11-28株式会社日立制作所Control device for air conditioning system
US8473109B1 (en)*2009-08-212013-06-25Allure Energy, Inc.Apparatus and method for altering an operating window of a device
CN104566868A (en)*2015-01-272015-04-29徐建成Central air-conditioning control system and control method thereof
CN106197114A (en)*2016-07-132016-12-07同济大学A kind of combination type phase change cold-storage device and use the air conditioning system of this cold-storage device
CN106247546A (en)*2016-08-102016-12-21立天节能环保(深圳)有限公司A kind of central air-conditioning implementation method by norm and adjusting means of becoming more meticulous
WO2017062908A1 (en)*2015-10-082017-04-13Johnson Controls Technology CompanyPhotovoltaic energy system with solar intensity prediction

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN102985882B (en)*2010-05-052016-10-05格林斯里弗斯有限公司For determining the heating optimal using method that multiple thermals source are heat sink with refrigeration system

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN1165939A (en)*1996-01-101997-11-26三菱电机株式会社 Thermal Storage Air Conditioner and Its Thermal Storage Prediction Method
JP3104625B2 (en)*1996-09-302000-10-30ダイキン工業株式会社 Power calculation device and power calculation method for air conditioner
JP2003322381A (en)*2002-04-262003-11-14Hitachi Ltd Electricity billing system for air conditioners
CN101078552A (en)*2006-05-232007-11-28株式会社日立制作所Control device for air conditioning system
US8473109B1 (en)*2009-08-212013-06-25Allure Energy, Inc.Apparatus and method for altering an operating window of a device
CN104566868A (en)*2015-01-272015-04-29徐建成Central air-conditioning control system and control method thereof
WO2017062908A1 (en)*2015-10-082017-04-13Johnson Controls Technology CompanyPhotovoltaic energy system with solar intensity prediction
CN106197114A (en)*2016-07-132016-12-07同济大学A kind of combination type phase change cold-storage device and use the air conditioning system of this cold-storage device
CN106247546A (en)*2016-08-102016-12-21立天节能环保(深圳)有限公司A kind of central air-conditioning implementation method by norm and adjusting means of becoming more meticulous

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
重庆市公共建筑能耗定额方法研究;李沁;《中国博士学位论文全文数据库工程科技Ⅱ辑》;20141231;全文

Also Published As

Publication numberPublication date
CN106996623A (en)2017-08-01

Similar Documents

PublicationPublication DateTitle
CN106996623B (en)Central air conditioner room control method under energy consumption limit
CN110322056B (en)Virtual power plant random self-adaptive robust optimization scheduling method considering central air conditioning system
CN103574845B (en)A kind of ice-storage system optimal control method based on cooling load prediction
CN105135623A (en)Central air-conditioner deloading control method capable of meeting power grid peak shaving and user comfort level
CN111076378B (en) A subway station ventilation and air conditioning energy-saving system and method based on load forecasting
CN112611076B (en) ISCS-based ventilation and air-conditioning energy-saving control system and method for subway stations
CN103412526A (en)Scheduling method of heat supply unit online load and system
CN108039710A (en)A kind of power grid that air conditioner load based on step response participates in dispatching method a few days ago
CN114240034A (en) A method and system for regulating energy consumption of terminal equipment in a building
CN106152343B (en)A kind of ice-chilling air conditioning system design optimization method based on Life cycle
CN111340316B (en)Intelligent water supply management method and system
CN113655762A (en) A gas energy supply system operation optimization control method and system
CN211526662U (en)Subway station ventilation air conditioner economizer system based on load prediction
CN117353349B (en)Power supply state control method of energy storage system, storage medium and electronic equipment
CN108879657A (en)Balance of electric power and ener optimization method based on wind-powered electricity generation volume metering
CN110895029A (en)Building load prediction method based on temperature of chilled water
CN110848895A (en)Non-industrial air conditioner flexible load control method and system
CN115511183A (en)Hydropower station real-time scheduling method based on model predictive control
CN116632839A (en)Park power management adjusting method and device based on carbon monitoring
CN106712077A (en)Public building participated grid optimization operation method
CN116307223A (en) A demand response management method and device
TW201027014A (en)Method for managing air conditioning power consumption
CN101291063A (en) An energy-saving power generation dispatching method
CN119148658A (en)Virtual building energy allocation system based on data management
CN117096888A (en)Operation control method, device and equipment of power equipment and storage medium

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination
GR01Patent grant
GR01Patent grant
CP01Change in the name or title of a patent holder
CP01Change in the name or title of a patent holder

Address after:No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee after:Beijing Qingyun Intelligent Technology Development Co.,Ltd.

Address before:No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee before:BEIJINGQINGKONG JIENENG TECHNOLOGY Co.,Ltd.

CP01Change in the name or title of a patent holder
CP01Change in the name or title of a patent holder

Address after:No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee after:Beijing Qingyun Energy Group Co.,Ltd.

Address before:No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee before:Beijing Qingyun Intelligent Technology Development Co.,Ltd.

CP02Change in the address of a patent holder
CP02Change in the address of a patent holder

Address after:No. 5009, podium building, floor 5, No. 69, Zizhuyuan Road, Haidian District, Beijing 102206

Patentee after:Beijing Qingyun Energy Group Co.,Ltd.

Address before:No.532, building 5, No.97, Changping Road, Shahe Town, Changping District, Beijing

Patentee before:Beijing Qingyun Energy Group Co.,Ltd.


[8]ページ先頭

©2009-2025 Movatter.jp