CN103809550A - Cost-saving electric power energy management device and method - Google Patents
Cost-saving electric power energy management device and method Download PDFInfo
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- CN103809550A CN103809550A CN201210544422.6A CN201210544422A CN103809550A CN 103809550 A CN103809550 A CN 103809550A CN 201210544422 A CN201210544422 A CN 201210544422A CN 103809550 A CN103809550 A CN 103809550A
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- 238000000034 method Methods 0.000 title claims abstract description 106
- 238000000605 extraction Methods 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 230000005611 electricity Effects 0.000 claims description 40
- 238000004364 calculation method Methods 0.000 claims description 30
- 238000007726 management method Methods 0.000 claims description 28
- 238000005457 optimization Methods 0.000 claims description 28
- 238000012935 Averaging Methods 0.000 claims description 16
- 238000003324 Six Sigma (6σ) Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 17
- 230000004913 activation Effects 0.000 description 4
- 238000000137 annealing Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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- 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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention provides a cost-saving electric power energy management device and a method. The power information extraction module is used for extracting power consumption information of at least one device. The analysis module is used for analyzing the power consumption information to generate a power consumption profile characteristic of the equipment and generating a power consumption mode of the equipment according to the power consumption profile characteristic. The processing module is used for calculating the power consumption characteristics and the electric charge of the equipment in different time section characteristics according to the power consumption mode and adjusting the process scheduling information of the equipment according to the power consumption characteristics and the electric charge. Therefore, the invention can obtain the electric energy and the process scheduling information with the optimal cost.
Description
Technical field
The present invention relates to a kind of technical field of electric power energy management, particularly about a kind of Jie Feishi electric power energy management devices and method.
Background technology
The monitoring of existing electric power energy is only carried out control for total power consumption or the requirement of equipment mostly, or only unloads for the requirement restriction of equipment.But, no matter many equipment is ownership synergic system or process system, often be not easy to, in running, this equipment is stopped or reducing load, this measure easily causes the electric power supply of output terminal output unstable or output end to be difficult to control, also make the energy management person of equipment or system cannot effectively grasp and the use of controlling electric power energy, and reduce the grid electricity fee cost of relevant device.
In addition, even if can learn that the variation tendency of the power consumption of this equipment has low year or the high period of carrying power consumption, but can judge or adjust power modes without effective method and instrument, so that the equipment of high power consumption cannot be moved to from the use of peak period, also cannot judge whether actually to reach the effect of saving the electricity charge in this from the peak period.
Therefore, how to solve the defect of above-mentioned prior art, to be provided the optimal operation opportunity of equipment, and reduce the electric cost expenditure of equipment and technique thereof, then become those skilled in the art's important topic.
Summary of the invention
The present invention proposes a kind of Jie Feishi electric power energy management devices and method, by the power consumption information of extraction equipment, and analyze power consumption contour feature and power modes, optimization calculation is carried out in power consumption feature to different time segment attribute and the electricity charge simultaneously, and then adjusts the process schedule information of this equipment.
Whereby, the process schedule information of capable of regulating equipment of the present invention, allow user obtain the information such as power consumption feature, time segment attribute and the electricity charge, with the optimal operation opportunity of set device, and produce running on abnormal warning, can also, under output or the constant situation of output, obtain electric power energy and the process schedule information of optimal cost.
The invention provides a kind of Jie Feishi electric power energy management devices, it comprises power information extraction module, analysis module and processing module.This power information extraction module is for extracting the power consumption information of at least one equipment.This analysis module is analyzed this power consumption information to produce the power consumption contour feature of this equipment, and produces the power modes of this equipment according to this power consumption contour feature.This processing module is used for calculating this equipment in power consumption feature and the electricity charge of different time segment attribute according to this power modes, and adjusts the process schedule information of this equipment according to this power consumption feature and this electricity charge.
The present invention also provides a kind of Jie Feishi electric power energy management method, and it comprises: the power consumption information of extracting at least one equipment; Analyze this power consumption information to produce the power consumption contour feature of this equipment, and produce the power modes of this equipment according to this power consumption contour feature; And calculate this equipment in power consumption feature and the electricity charge of different time segment attribute according to this power modes, and adjust the process schedule information of this equipment according to this power consumption feature and this electricity charge.
Accompanying drawing explanation
Fig. 1 is for illustrating the block schematic diagram of Jie Feishi electric power energy management devices of the present invention.
Fig. 2 is for illustrating the waveform schematic diagram of the present invention about the power consumption information of multiple equipment.
Fig. 3 A is for illustrating the waveform schematic diagram of the present invention about the power consumption information of the first equipment.
Fig. 3 B is for illustrating Fig. 3 A of the present invention about power consumption information is in power consumption contour feature and the waveform schematic diagram of single technique.
Fig. 4 A is for illustrating the waveform schematic diagram of the present invention about the power consumption information of the second equipment.
Fig. 4 B is for illustrating Fig. 4 A of the present invention about power consumption information is in power consumption contour feature and the waveform schematic diagram of single technique.
Fig. 5 A illustrates the waveform comparison diagram about the power consumption information of present situation, class's activation on daytime and optimum process scheduling for using Fig. 3 B of the present invention.
Fig. 5 B is for illustrating Fig. 5 A of the present invention about present situation, class's activation on daytime and the power consumption of optimum process scheduling and the comparison sheet of the electricity charge.
Fig. 6 A is for illustrating the waveform comparison diagram of embodiments of the invention about the power consumption information of present situation and optimum process scheduling.
The embodiment that Fig. 6 B is used for illustrating Fig. 6 A of the present invention is about present situation and the power consumption of optimum process scheduling and the comparison sheet of the electricity charge.
Fig. 7 is for illustrating the flow chart of steps of Jie Feishi electric power energy management method of the present invention.
[primary clustering symbol description]
100-electric power energy management devices;
101-equipment;
110-power information extraction module;
111-power consumption information;
The power consumption information that 111a-class on daytime activates;
The power consumption information of 111b, 111d-present situation;
The power consumption information of 111c, the scheduling of 111e-optimum process;
120-analysis module;
121-power consumption contour feature;
122-power modes;
130-processing module;
131-time segment attribute;
132-power consumption feature;
The 133-electricity charge;
134-process schedule information;
140-alarm module;
141-alarm signal;
H
1～h
4-power consumption feature;
T
1～t
4-time segment attribute;
S201～S207-step.
Embodiment
Below by specific concrete example explanation embodiments of the present invention, those skilled in the art can understand other advantage of the present invention and effect easily by content disclosed in the present specification, also can be implemented or apply by other different concrete example.
Fig. 1 is for illustrating the block schematic diagram of Jie Feishi electric power energy management devices of the present invention.As shown in the figure, electric power energy management devices 100 comprises power information extraction module 110, analysis module 120, processing module 130 and alarm module 140.
This power information extraction module 110 is for extracting the power consumption information 111 of at least one equipment 101.This power information extraction module 110 is to extract software etc. for digital electric meter or mechanical electricity meter in conjunction with power information extraction procedure or the power information of digital electric meter.
This analysis module 120 is for analyzing this power consumption information 111 to produce the power consumption contour feature 121 of this equipment 101, and produces the power modes 122 of these equipment 101 according to this power consumption contour feature 121.This analysis module 120 can be routine analyzer, analysis software, analytical instrument or processor etc.
Above-mentioned power consumption contour feature 121 comprises that this equipment 101 is in power consumption feature 132 and the time segment attribute 131 of single technique.When the power consumption feature 132 of this single technique exceeds qualitative control control gimmick, during as the numerical value of Six Sigma (6sigma) or 95% level of confidence, send alarm signal 141 by this alarm module 140.This alarm signal 141 can be warning word, warning sound or warning light etc.
Above-mentioned power modes 122 comprise average power consumption feature and averaging time segment attribute, this average power consumption feature equal this equipment 101 in the power consumption feature sum total of multiple single techniques the multiple sample number of times divided by the power consumption feature 132 of those single techniques, this averaging time segment attribute equal this equipment 101 in multiple time segment attributes sum totals of those single techniques the multiple sample number of times divided by the time segment attribute 131 of those single techniques.
This processing module 130 according to this power modes 122 calculate this equipment 101 averaging time segment attribute average power consumption feature and the electricity charge 133, and adjust the process schedule information 134 of these equipment 101 according to this average power consumption feature and the electricity charge that this averaging time, segment attribute calculated 133.This processing module 130 can be handling procedure, process software or processor etc.
This processing module 130 also can according to this averaging time segment attribute average power consumption feature and this electricity charge 133 carry out the optimization calculation of this process schedule information 134, and the result of this optimization calculation is imported in this process schedule information 134, the target of optimization calculation is as being minimal cost of power cost.The present invention does not limit the calculation mode of this optimization calculation, and it can mathematical expression, equation, algorithm, software program or alternate manner are reached.
In the time that the result of this optimization calculation does not meet predetermined restrictive condition or the condition of termination, adjust this process schedule information 134 by this processing module 130.This restrictive condition can be process time or the contract capacity etc. of this equipment 101, and the result that this termination condition can be this optimization calculation has reached optimization or iterated calculation number of times etc.
Fig. 2 is for illustrating the waveform schematic diagram of the present invention about the power consumption information of multiple equipment.
As shown in the figure, the accumulation power consumption that total power consumption uses for the system of an equipment or more than two equipment formation.Take the power consumption of the equipment of general factory as example, total power consumption can be the accumulation power consumption of more than two equipment such as annealing furnace and heat generator.
In the power consumption information 111 being recorded by more than two equipment, can know the variation tendency profile of finding out total power consumption and time, and the highest power consumption that can learn those equipment be used in electric power energy from the peak period, as time 2012/7/520:42～2012/7/60:33, principal element is that these electricity charge from the peak period are lower.
But, if those equipment are all used in to this from the peak period, can cause this total power consumption from the peak period to exceed predetermined contract capacity, can suffer on the contrary the fine of electric power supplier (as Utilities Electric Co.), so that increase the electric cost expenditure of those equipment.
Fig. 3 A is for illustrating the waveform schematic diagram of the present invention about the power consumption information of the first equipment.
As shown in the figure, in the power consumption information 111 by the first equipment (as annealing furnace), can know and find out the power consumption of 6 single techniques and the variation tendency profile of time.Meanwhile, the use meeting of this first equipment is because of technique or scheduling factor, makes the variation tendency profile of this power consumption information 111 become the usage trend of AD HOC, and its service time is across the peak hour of power system calculation and electricity price period from peak time.
Fig. 3 B is for illustrating Fig. 3 A of the present invention about power consumption information is in power consumption contour feature and the waveform schematic diagram of single technique.
As shown in the figure, can in the power consumption information 111 of Fig. 3 A, extract one of them power consumption contour feature 121 of 6 single techniques, this power consumption contour feature 121 may be defined as three power consumption feature h
1, h
2, h
3and three corresponding time segment attribute t
1, t
2, t
3.
Those power consumption features h
1, h
2, h
3can be respectively those time segment attribute t
1, t
2, t
3maximal value or the mean value of power consumption, those time segment attribute t
1, t
2, t
3can be the period of self-defining or the period of fixed intervals (as every 15 minutes).
Fig. 4 A is for illustrating the waveform schematic diagram of the present invention about the power consumption information of the second equipment.
As shown in the figure, in the power consumption information 111 by the second equipment (as heat generator), can know and find out the power consumption of 15 single techniques and the variation tendency profile of time.
Fig. 4 B is for illustrating Fig. 4 A of the present invention about power consumption information is in power consumption contour feature and the waveform schematic diagram of single technique.
As shown in the figure, can in the power consumption information 111 of Fig. 4 A, extract one of them power consumption contour feature 121 of 15 single techniques, this power consumption contour feature 121 may be defined as four power consumption feature h
1, h
2, h
3, h
4and four corresponding time segment attribute t
1, t
2, t
3, t
4.
Those power consumption features h
1, h
2, h
3, h
4can be respectively those time segment attribute t
1, t
2, t
3, t
4maximal value or the mean value of power consumption, those time segment attribute t
1, t
2, t
3, t
4can be the period of self-defining or the period of fixed intervals (as every 15 minutes).
Above-mentioned definition is described as the variation tendency profile of the power consumption information 111 of each equipment of statistical study and technique thereof, can be in per unit single technique, and the power consumption that defines respectively power consumption contour feature 121 is characterized as h and time segment attribute is t.H
irepresent i power consumption feature of single technique, i=1,2 ..., m; t
jrepresent j time segment attribute of single technique, j=1,2 ..., n.
Meanwhile, in order to analyze and the total power consumption and the time section that use each equipment and technique thereof, can be in per unit multiple single technique, the average power consumption that defines respectively power modes is characterized as
and averaging time, segment attribute was
its formula is as follows:
(1)
(2)
Wherein, ∑ h is power consumption feature sum total, and x is power consumption feature h
ithis number of times of gross sample; ∑ t
jfor time segment attribute sum total, y is time segment attribute t
jthis number of times of gross sample.
Above-mentioned formula (1) represents average power consumption feature
equal this equipment and sum up gross sample this number of times x of ∑ h divided by the power consumption feature of those single techniques in the power consumption feature of those single techniques.
Above-mentioned formula (2) represents segment attribute averaging time
equal this equipment and sum up gross sample this number of times y of ∑ t divided by the time segment attribute of those single techniques in the time of those single techniques segment attribute.
At the average power consumption of those single techniques of statistical study
time, definable one qualitative control control gimmick, as the numerical value under Six Sigma (6sigma) or 95% level of confidence, as this power consumption feature h
iwhile exceeding the numerical value in qualitative control control boundary line, can classify warning as, make alarm module send alarm signal.
Fig. 5 A uses Fig. 3 B of the present invention to illustrate the waveform comparison diagram about the power consumption information of present situation, class's activation on daytime and optimum process scheduling.
As shown in the figure, by the power consumption information of each equipment of statistical study and technique thereof, and define power consumption feature and the time segment attribute of power consumption contour feature, can this power consumption information of simple and easy representation of concept change in difference scheduling or the grid electricity fee cost of running time.For example, can use window move mode or roll mode, the respectively power consumption information 111b of present situation in mobile Fig. 3 B forward and backward, can obtain power consumption information 111a that daytime in Fig. 5 A, class activated and the power consumption information 111c of optimum process scheduling.
In Fig. 5 A, the power consumption information 111b of present situation is the power consumption information 111 of Fig. 3 B in about 20:30 activated equipment at night, the power consumption information 111a that daytime, class activated moves the power consumption information 111b of present situation forward and in about 7:30 activated equipment on daytime, and the power consumption information 111c of optimum process scheduling moves the power consumption information 111b of present situation and in about 22:30 activated equipment at night backward.
Fig. 5 B is for illustrating Fig. 5 A of the present invention about present situation, class's activation on daytime and the power consumption of optimum process scheduling and the comparison sheet of the electricity charge.
Through the power consumption information 111b of present situation in comparison diagram 5A, daytime power consumption information 111a that class activates with the power consumption information 111c of optimum process scheduling after, can calculate in identical power consumption information but the power consumption of different process under dispatching and the comparison sheet of the electricity charge.
As shown in Figure 5 B, under the power consumption information 111b of present situation, the total power consumption of spike period is about 936 degree, is about 1677 degree from the total power consumption of peak period, and total power consumption is about 2614 degree, and total electricity charge are about 6209 yuan.
Simultaneously, under the power consumption information 111a that class activates by day, the total power consumption of spike period is about 2542 degree, be about 85 degree from the total power consumption of peak period, total power consumption is about 2628 degree, total electricity charge are about 9123 yuan, therefore daytime, class activated the disbursement that approximately increases by 2914 yuan with the electricity charge difference of present situation.
But, under the power consumption information 111c of optimum process scheduling, the total power consumption of spike period is about 578 degree, be about 2049 degree from the total power consumption of peak period, total power consumption is about 2628 degree, total electricity charge are about 5587 yuan, therefore optimum process scheduling approximately reduces by the disbursement of 621 yuan with the electricity charge difference of present situation.
Hence one can see that, and under identical equipment and close total power consumption, daytime, class activated the expenditure cost that can increase the electricity charge, but optimum process scheduling can reduce the expenditure cost of the electricity charge.
Fig. 6 A is for illustrating the waveform comparison diagram of embodiments of the invention about the power consumption information of present situation and optimum process scheduling.
As shown in the figure, the power consumption information 111e of the power consumption information 111d of present situation and optimum process scheduling comprises two the first equipment (as annealing furnace) and the total power consumption of two the second equipment (as heat generator) and the variation tendency profile of time.
Because per unit power consumption, power consumption information and power consumption contour feature are all not quite similar, thus can carry out optimization calculation according to this equipment running period originally, but per unit output or output still remain unchanged.
The embodiment that Fig. 6 B is used for illustrating Fig. 6 A of the present invention is about present situation and the power consumption of optimum process scheduling and the comparison sheet of the electricity charge.
As shown in the figure, under the power consumption information 111d of present situation, the total power consumption of spike period is about 2321 degree, is about 2703 degree from the total power consumption of peak period, and total power consumption is about 5025 degree, and total electricity charge are about 12872 yuan.
But, under the power consumption information 111e of optimum process scheduling, the total power consumption of spike period is about 1860 degree, be about 3161 degree from the total power consumption of peak period, total power consumption is about 5021 degree, total electricity charge are about 12034 yuan, therefore optimum process scheduling approximately reduces by the disbursement of 838 yuan with the electricity charge difference of present situation.
Hence one can see that, and under identical equipment and close total power consumption, the optimum process scheduling after optimization calculation can reduce the expenditure cost of the electricity charge.
Fig. 7 is for illustrating the flow chart of steps of Jie Feishi electric power energy management method of the present invention.
As shown in the figure, electric power energy management method can comprise the following steps:
In step S201, make power information extraction module extract the power consumption information of at least one equipment.Then proceed to step S202.
In step S202, make analysis module analyze this power consumption information to produce the power consumption contour feature of this equipment, and produce the power modes of this equipment according to this power consumption contour feature.This power consumption contour feature can comprise that this equipment is in power consumption feature and the time segment attribute of single technique.This power modes can comprise average power consumption feature and averaging time segment attribute, this average power consumption feature equal this equipment in the power consumption feature sum total of multiple single techniques this number of times of gross sample divided by the power consumption feature of those single techniques, this averaging time segment attribute equal this equipment in the time of those single techniques segment attribute sum total this number of times of gross sample divided by the time segment attribute of those single techniques.Then proceed to step S203.
In step S203, make processing module calculate this equipment in power consumption feature and the electricity charge of different time segment attribute according to this power modes.Then proceed to step S204.
In step S204, make this processing module according to averaging time segment attribute average power consumption feature and this electricity charge carry out the optimization calculation of the process schedule information of this equipment, and the result of this optimization calculation is imported in this process schedule information.Then proceed to step S205.
Do you in step S205, judge that the result of this optimization calculation meets predetermined restrictive condition? this restrictive condition can be process time or the electric power contract capacity etc. of this equipment.If so, proceed to step S206.If not, get back to step S204, make this processing module adjust this process schedule information.
Do you in step S206, judge that the result of this optimization calculation meets predetermined termination condition? the result that this termination condition can be this optimization calculation has reached optimization or has iterated calculation number of times etc.If so, proceed to step S207.If not, get back to step S204, make this processing module adjust this process schedule information.
In step S207, obtain the process schedule information of optimal cost (as the minimum electricity charge), make this processing module upgrade this process schedule information.
Above-mentioned example is illustrative principle of the present invention, feature and effect thereof only, not for limiting the category of implementing of the present invention, any those skilled in the art all can, under spirit of the present invention and category, modify and change above-mentioned example.The disclosed content of any utilization and the equivalence that completes changes and modify, all still should be claim of the present invention and contains.Therefore, the scope of the present invention, should be as listed in claims.
Claims (14)
1. Yi Zhong Jie Feishi electric power energy management devices, is characterized in that, includes:
Power information extraction module, so as to extracting the power consumption information of at least one equipment;
Analysis module, so as to analyzing this power consumption information to produce the power consumption contour feature of this equipment, and produces the power modes of this equipment according to this power consumption contour feature; And
Processing module, so as to calculating this equipment according to this power modes in power consumption feature and the electricity charge of different time segment attribute, and adjusts the process schedule information of this equipment according to this power consumption feature and this electricity charge.
2. Jie Feishi electric power energy management devices according to claim 1, is characterized in that, this power consumption contour feature comprises that this equipment is in power consumption feature and the time segment attribute of single technique.
3. Jie Feishi electric power energy management devices according to claim 2, it is characterized in that, this device also comprises alarm module, in the time that the power consumption feature of this single technique exceeds the numerical value of Six Sigma or 95% level of confidence, sends alarm signal by this alarm module.
4. Jie Feishi electric power energy management devices according to claim 1, it is characterized in that, this power modes comprise average power consumption feature and averaging time segment attribute, this average power consumption feature equal this equipment in the power consumption feature sum total of multiple single techniques the multiple sample number of times divided by the power consumption feature of those single techniques, this averaging time segment attribute equal this equipment in the time of those single techniques segment attribute sum total the multiple sample number of times divided by the time segment attribute of those single techniques.
5. Jie Feishi electric power energy management devices according to claim 4, it is characterized in that, this processing module also according to this averaging time segment attribute this average power consumption feature and this electricity charge carry out the optimization calculation of this process schedule information, and the result of this optimization calculation is imported in this process schedule information.
6. Jie Feishi electric power energy management devices according to claim 5, is characterized in that, in the time that the result of this optimization calculation does not meet predetermined restrictive condition or the condition of termination, adjusts this process schedule information by this processing module.
7. Jie Feishi electric power energy management devices according to claim 6, is characterized in that, this restrictive condition comprises process time or the contract capacity of this equipment, and this termination condition comprises that the result of this optimization calculation has reached optimization or iterated calculation number of times.
8. Yi Zhong Jie Feishi electric power energy management method, is characterized in that, comprises the following steps:
Extract the power consumption information of at least one equipment;
Analyze this power consumption information to produce the power consumption contour feature of this equipment, and produce the power modes of this equipment according to this power consumption contour feature; And
Calculate this equipment in power consumption feature and the electricity charge of different time segment attribute according to this power modes, and adjust the process schedule information of this equipment according to this power consumption feature and this electricity charge.
9. Jie Feishi electric power energy management method according to claim 8, is characterized in that, the method also comprises:
According to averaging time, the optimization calculation of this process schedule information is carried out in average power consumption feature and this electricity charge of segment attribute, and the result of this optimization calculation is imported in this process schedule information.
10. Jie Feishi electric power energy management method according to claim 9, is characterized in that, the method also comprises:
Whether the result that judges this optimization calculation meets predetermined restrictive condition; And
Whether the result that if so, judges this optimization calculation meets predetermined termination condition, if not, adjusts this process schedule information.
11. Jie Feishi electric power energy management methods according to claim 10, is characterized in that, if the result of this optimization calculation meets this predetermined termination condition, upgrade this process schedule information.
12. Jie Feishi electric power energy management methods according to claim 11, is characterized in that, this restrictive condition comprises process time or the contract capacity of this equipment, and this termination condition comprises that the result of this optimization calculation has reached optimization or iterated calculation number of times.
13. Jie Feishi electric power energy management methods according to claim 8, is characterized in that, this power consumption contour feature comprises that this equipment is in power consumption feature and the time segment attribute of single technique.
14. Jie Feishi electric power energy management methods according to claim 8, it is characterized in that, this power modes comprise average power consumption feature and averaging time segment attribute, this average power consumption feature equal this equipment in the power consumption feature sum total of multiple single techniques the multiple sample number of times divided by the power consumption feature of those single techniques, this averaging time segment attribute equal this equipment in the time of those single techniques segment attribute sum total the multiple sample number of times divided by the time segment attribute of those single techniques.
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| CN104570753A (en) * | 2014-12-26 | 2015-04-29 | 深圳市兰丁科技有限公司 | Electricity consumption calculation method, electronic device, electric quantity uploading method and intelligent home equipment |
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| CN104268726A (en) * | 2014-10-29 | 2015-01-07 | 杭州凯达电力建设有限公司 | Method and system for generating electricity consumption scheme |
| CN104570753A (en) * | 2014-12-26 | 2015-04-29 | 深圳市兰丁科技有限公司 | Electricity consumption calculation method, electronic device, electric quantity uploading method and intelligent home equipment |
| CN104570753B (en) * | 2014-12-26 | 2018-08-14 | 深圳市海蕴新能源有限公司 | Electricity consumption computational methods, electronic equipment, electricity method for uploading and smart home device |
| CN114780813A (en) * | 2022-03-09 | 2022-07-22 | 天纳能源科技（上海）有限公司 | Energy flow diagram display method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103809550B (en) | 2016-06-01 |
| TW201419201A (en) | 2014-05-16 |
| TWI492181B (en) | 2015-07-11 |
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