CN103809550B - 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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- CN103809550B CN103809550B CN201210544422.6A CN201210544422A CN103809550B CN 103809550 B CN103809550 B CN 103809550B CN 201210544422 A CN201210544422 A CN 201210544422A CN 103809550 B CN103809550 B CN 103809550B
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- 238000000034 method Methods 0.000 title claims abstract description 115
- 230000008569 process Effects 0.000 claims abstract description 62
- 238000000605 extraction Methods 0.000 claims abstract description 11
- 230000005611 electricity Effects 0.000 claims description 40
- 238000005457 optimization Methods 0.000 claims description 28
- 238000004364 calculation method Methods 0.000 claims description 20
- 238000003324 Six Sigma (6σ) Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 12
- 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
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005096 rolling 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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]
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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 the technical field of a kind 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 mostly only total power consumption or requirement for equipment carry out control, or only requirement restriction for equipment unloads. But, many equipment whether belongs to public system or process system, often it is not easy in running by the stopping of this equipment or reduces load, this measure easily causes the supply of electric power of output terminal output that is 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 controlling electric power energy, and reduce the grid electricity fee cost of relevant equipment.
In addition, even if the variation tendency that can learn the current consumption of this equipment has low load or the period of high load current consumption, but can judge without effective method and instrument or adjust power modes, so that the equipment of high current consumption cannot be moved and use to from the peak period, also cannot judge whether actual to reach the effect saving the electricity charge in this from the peak period.
Therefore, how to solve the defect of above-mentioned prior art, to provide the optimal operation opportunity of equipment, and reduce the electric cost expenditure of equipment and technique thereof, then become the important topic of those skilled in the art.
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, current consumption feature and the electricity charge to different time section feature carries out optimization calculation simultaneously, and then adjusts the process schedule information of this equipment.
Whereby, the process schedule information of adjustable equipment of the present invention, user is allowed to obtain the information such as current consumption feature, time section feature and the electricity charge, with the optimal operation opportunity of set device, and produce the warning of the exception in running, when exporting or output is constant, electric power energy and the process schedule information of optimal cost can also be obtained.
The present invention provides a kind of Jie Feishi electric power energy management devices, and it comprises power information extraction module, analyzes module and processing module. This power information extraction module is for extracting the power consumption information of at least one equipment. This power consumption information of this analysis module analysis is 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 the current consumption feature of different time section feature and the electricity charge according to this power modes, and adjusts the process schedule information of this equipment according to this current consumption feature and this electricity charge.
The present invention also provides a kind of Jie Feishi electric power energy management process, comprising: 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 the current consumption feature of different time section feature and the electricity charge according to this power modes, and adjust the process schedule information of this equipment according to this current consumption feature and this electricity charge.
Accompanying drawing explanation
Fig. 1 is for illustrating the block schematic diagram of the Jie Feishi electric power energy management devices of the present invention.
Fig. 2 is for illustrating in the present invention the waveform diagram of the power consumption information about multiple equipment.
Fig. 3 A is for illustrating in the present invention the waveform diagram of the power consumption information about the first equipment.
Fig. 3 B is for illustrating in Fig. 3 A of the present invention about power consumption information in the power consumption contour feature of single technique and waveform diagram.
Fig. 4 A is for illustrating in the present invention the waveform diagram of the power consumption information about the 2nd equipment.
Fig. 4 B is for illustrating in Fig. 4 A of the present invention about power consumption information in the power consumption contour feature of single technique and waveform diagram.
Fig. 5 A illustrates the waveform comparison figure about the power consumption information that present situation, daytime, class's activation was dispatched with optimum process for using Fig. 3 B of the present invention.
Fig. 5 B for illustrate in Fig. 5 A of the present invention about present situation, daytime class activate with optimum process dispatch current consumption and the electricity charge compare table.
Fig. 6 A is for illustrating in embodiments of the invention about the waveform comparison figure of present situation and the power consumption information of optimum process scheduling.
The current consumption that Fig. 6 B dispatches about present situation and optimum process for illustrating in the embodiment of Fig. 6 A of the present invention and the electricity charge compare table.
Fig. 7 is for illustrating the flow chart of steps of the Jie Feishi electric power energy management process of the present invention.
[main element numbers explanation]
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, 111e-optimum process scheduling;
120-analyzes module;
121-power consumption contour feature;
122-power modes;
130-processing module;
131-time section feature;
132-current consumption feature;
The 133-electricity charge;
134-process schedule information;
140-alarm module;
141-warns signal;
h1��h4-current consumption feature;
t1��t4-time section feature;
S201��S207-step.
Embodiment
By specific concrete example, embodiments of the present invention are described below, those skilled in the art can be understood other advantage and effect of the present invention easily by content disclosed in the present specification, it is possible to the concrete example different by other is implemented or applied.
Fig. 1 is for illustrating the block schematic diagram of the 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, analyzes 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 that power information extraction procedure or power information for numeral ammeter or mechanical electricity meter combination numeral ammeter extract software etc.
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 this equipment 101 according to this power consumption contour feature 121. This analysis module 120 can be routine analyzer, analysis software, analytical instrument or treater etc.
Above-mentioned power consumption contour feature 121 comprises this equipment 101 in the current consumption feature 132 of single technique and time section feature 131. When the current consumption feature 132 of this single technique exceeds qualitative control control gimmick, during such as the numerical value of Six Sigma (6sigma) or 95% level of confidence, then send warning signal 141 by this alarm module 140. This warning signal 141 can be warning word, warning sound or warning light etc.
Above-mentioned power modes 122 comprise average consumption measure feature and mean time section feature, this average consumption measure feature equals the current consumption feature sum total of this equipment 101 in multiple single technique divided by multiple sample number of times of current consumption feature 132 of those single techniques, and this, section feature equaled the multiple time section features sum totals of this equipment 101 in those single techniques divided by multiple sample number of times of the time section feature 131 of those single techniques mean time.
This processing module 130 according to this power modes 122 calculate this equipment 101 mean time section feature average consumption measure feature and the electricity charge 133, and adjust the process schedule information 134 of this equipment 101 according to this average consumption measure feature and the electricity charge 133 that this mean time, section feature calculation obtained. This processing module 130 can be handling procedure, process software or treater etc.
This processing module 130 also can according to this mean time section feature average consumption measure feature and this electricity charge 133 carry out the optimization calculation of this process schedule information 134, and the result that this optimization is calculated 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 what alternate manner was reached.
When not meeting predetermined restricted condition or the condition of termination when the result that this optimization is calculated, then adjust this process schedule information 134 by this processing module 130. This restricted condition can be process time of this equipment 101 or contract capacity etc., and the result that this termination condition can be the calculation of this optimization has reached optimization or folded generation calculation number of times etc.
Fig. 2 is for illustrating in the present invention the waveform diagram of the power consumption information about multiple equipment.
As shown in the figure, total power consumption is the accumulation current consumption that the system that an equipment or more than two equipment are formed uses. For the current consumption of the equipment of general factory, total power consumption can be the accumulation current consumption of more than two equipment such as annealing furnace and hotblast stove.
In the power consumption information 111 recorded by more than two equipment, the variation tendency profile finding out total power consumption and time can be known, and the highest current consumption that those equipment can be learnt be used in electric power energy from the peak period, such as time 2012/7/520:42��2012/7/60:33, it is lower from the electricity charge of peak period that principal element is this.
But, if those equipment being all used in this from the peak period, this then can be caused to exceed predetermined contract capacity from the total power consumption of peak period, the fine of electric power supplier (such as electric power company) can be suffered on the contrary, so that increase the electric cost expenditure of those equipment.
Fig. 3 A is for illustrating in the present invention the waveform diagram of the power consumption information about the first equipment.
As shown in the figure, by, in the power consumption information 111 of the first equipment (such as annealing furnace), the variation tendency profile of the current consumption finding out 6 single techniques and time being known. Meanwhile, this first equipment use can because of technique or scheduling factor so that the variation tendency profile of this power consumption information 111 becomes the usage trend of AD HOC, and its duration of service the sharp peak time across power system calculation with the electricity price period from peak time.
Fig. 3 B is for illustrating in Fig. 3 A of the present invention about power consumption information in the power consumption contour feature of single technique and waveform diagram.
As shown in the figure, can extracting one of them power consumption contour feature 121 of 6 single techniques in the power consumption information 111 of Fig. 3 A, this power consumption contour feature 121 may be defined as three current consumption feature h1��h2��h3And corresponding three times section feature t1��t2��t3��
Those current consumption feature h1��h2��h3Those time section feature t can be respectively1��t2��t3The maximum value of current consumption or mean value, those time section feature t1��t2��t3Can be the period defined voluntarily or the period of fixed intervals (such as every 15 minutes).
Fig. 4 A is for illustrating in the present invention the waveform diagram of the power consumption information about the 2nd equipment.
As shown in the figure, by the power consumption information 111 of the 2nd equipment (such as hotblast stove), the variation tendency profile of the current consumption finding out 15 single techniques and time can be known.
Fig. 4 B is for illustrating in Fig. 4 A of the present invention about power consumption information in the power consumption contour feature of single technique and waveform diagram.
As shown in the figure, can extracting one of them power consumption contour feature 121 of 15 single techniques in the power consumption information 111 of Fig. 4 A, this power consumption contour feature 121 may be defined as four current consumption feature h1�� h2��h3��h4And corresponding four times section feature t1��t2��t3��t4��
Those current consumption feature h1��h2��h3��h4Those time section feature t can be respectively1��t2��t3��t4The maximum value of current consumption or mean value, those time section feature t1��t2��t3��t4Can be the period defined voluntarily or the period of fixed intervals (such 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 in per unit single technique, and the current consumption defining power consumption contour feature 121 respectively is characterized as h and time section is characterized as t. hiRepresent i-th current consumption feature of single technique, i=1,2 ..., m; tjRepresent jth the time section feature of single technique, j=1,2 ..., n.
Meanwhile, in order to total power consumption and the time section analyzed with use each equipment and technique thereof, can in per unit multiple single technique, the average power consumption defining power modes respectively is characterized asAnd section is characterized as mean timeIts formula is as follows:
(1)
(2)
Wherein, �� h is current consumption feature sum total, and x is current consumption feature hiTotal sample number of times; �� tjFor time section feature sum total, y is time section feature tjTotal sample number of times.
Above-mentioned formula (1) represents average consumption measure featureEqual this equipment and sum up the total sample number of times x of �� h divided by the current consumption feature of those single techniques in the current consumption feature of those single techniques.
Above-mentioned formula (2) represents section feature mean timeEqual this equipment and sum up the total sample number of times y of �� t divided by the time section feature of those single techniques in the time section feature of those single techniques.
At the average power consumption of those single techniques of statistical studyTime, definable one qualitative control control gimmick, such as the numerical value under Six Sigma (6sigma) or 95% level of confidence, as this current consumption feature hiWhen exceeding the numerical value in qualitative control control boundary line, then can be classified as warning, make alarm module send warning signal.
Fig. 5 A uses Fig. 3 B of the present invention to illustrate the waveform comparison figure about the power consumption information that present situation, daytime, class's activation was dispatched with optimum process.
As shown in the figure, by the power consumption information of each equipment of statistical study and technique thereof, and define current consumption feature and the time section feature of power consumption contour feature, it is possible to this power consumption information of simple and easy representation of concept is in difference scheduling or the change of the grid electricity fee cost of running time. Citing, can use window to move mode or rolling mode, move the power consumption information 111b of present situation in Fig. 3 B respectively forward and backward, can obtain the power consumption information 111a of class's activation on daytime and the power consumption information 111c of optimum process scheduling in Fig. 5 A.
In fig. 5, the power consumption information 111b of present situation is the power consumption information 111 of Fig. 3 B and is about 20:30 night and activates equipment, daytime class activate power consumption information 111a be the power consumption information 111b of present situation is moved forward and be about daytime 7:30 activate equipment, optimum process scheduling power consumption information 111c be the power consumption information 111b of present situation is moved backward and be about night 22:30 activate equipment.
Fig. 5 B for illustrate in Fig. 5 A of the present invention about present situation, daytime class activate with optimum process dispatch current consumption and the electricity charge compare table.
After comparing the power consumption information 111b of present situation in Fig. 5 A, the power consumption information 111c of power consumption information 111a and optimum process scheduling that daytime, class activated, can calculate in identical power consumption information but the comparison table of current consumption under different process scheduling and the electricity charge.
As shown in Figure 5 B, under the power consumption information 111b of present situation, the total power consumption of point peak period is about 936 degree, and the total power consumption from the peak period is about 1677 degree, and total power consumption is about 2614 degree, and total electricity charge are about 6209 yuan.
Simultaneously, under the power consumption information 111a that daytime, class activated, the total power consumption of point peak period is about 2542 degree, total power consumption from the peak period is about 85 degree, total power consumption is about 2628 degree, total electricity charge are about 9123 yuan, therefore daytime, class activated the expenditure expense that the electricity charge difference with present situation approximately increases by 2914 yuan.
But, under the power consumption information 111c of optimum process scheduling, the total power consumption of point peak period is about 578 degree, total power consumption from the peak period is about 2049 degree, total power consumption is about 2628 degree, total electricity charge are about 5587 yuan, therefore the electricity charge difference of optimum process scheduling and present situation approximately reduces by the expenditure expense of 621 yuan.
It can thus be seen that under identical equipment and close total power consumption, class's activation on daytime can increase the expenditure cost of the electricity charge, but optimum process scheduling then can reduce the expenditure cost of the electricity charge.
Fig. 6 A is for illustrating in embodiments of the invention about the waveform comparison figure of present situation and the power consumption information of optimum process scheduling.
As shown in the figure, the power consumption information 111d of present situation and the power consumption information 111e of optimum process scheduling comprises total power consumption and the variation tendency profile of time of two the first equipment (such as annealing furnace) and two the 2nd equipment (such as hotblast stove).
Owing to per unit current consumption, power consumption information and power consumption contour feature are all not quite similar, therefore optimization calculation can be carried out according to this equipment running period originally, but per unit output or output still remain unchanged.
The current consumption that Fig. 6 B dispatches about present situation and optimum process for illustrating in the embodiment of Fig. 6 A of the present invention and the electricity charge compare table.
As shown in the figure, under the power consumption information 111d of present situation, the total power consumption of point peak period is about 2321 degree, and the total power consumption from the peak period is about 2703 degree, 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 point peak period is about 1860 degree, total power consumption from the peak period is about 3161 degree, total power consumption is about 5021 degree, total electricity charge are about 12034 yuan, therefore the electricity charge difference of optimum process scheduling and present situation approximately reduces by the expenditure expense of 838 yuan.
It can thus be seen that under identical equipment and close total power consumption, the optimum process scheduling after optimization is calculated can reduce the expenditure cost of the electricity charge.
Fig. 7 is for illustrating the flow chart of steps of the Jie Feishi electric power energy management process of the present invention.
As shown in the figure, electric power energy management process can comprise the following steps:
In step s 201, power information extraction module is made to extract the power consumption information of at least one equipment. Then step S202 is proceeded to.
In step S202, order analyzes this power consumption information of module analysis 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 power consumption contour feature can comprise this equipment in the current consumption feature of single technique and time section feature. This power modes can comprise average consumption measure feature and mean time section feature, this average consumption measure feature equals the current consumption feature sum total of this equipment in multiple single technique divided by total sample number of times of current consumption feature of those single techniques, and this, section feature equaled the time section feature sum total of this equipment in those single techniques divided by total sample number of times of the time section feature of those single techniques mean time. Then step S203 is proceeded to.
In step S203, processing module is made to calculate this equipment in the current consumption feature of different time section feature and the electricity charge according to this power modes. Then step S204 is proceeded to.
In step S204, make this processing module according to mean time section feature average consumption measure feature and this electricity charge carry out the optimization calculation of process schedule information of this equipment, and the result that this optimization is calculated is imported in this process schedule information. Then step S205 is proceeded to.
Do you in step S205, judge that the result that this optimization is calculated meets predetermined restricted condition? this restricted condition can be the process time or electric power contract capacity etc. of this equipment. If then proceeding to step S206. If not, then return to step S204, make this processing module adjust this process schedule information.
Do you in step S206, judge that the result that this optimization is calculated meets predetermined termination condition? the result that this termination condition can be the calculation of this optimization has reached optimization or folded generation calculation number of times etc. If then proceeding to step S207. If not, then return to step S204, make this processing module adjust this process schedule information.
In step S207, obtain the process schedule information of optimal cost (such as the minimum electricity charge), make this processing module upgrade this process schedule information.
Above-mentioned example is the principle of illustrative the present invention, feature and effect thereof only, it it is not the category implemented for limiting the present invention, above-mentioned example all under the spirit not running counter to the present invention and category, can be carried out modifying and change by any those skilled in the art. The disclosed content of any utilization and complete equivalence change and modify, all still should be the claim of the present invention and contained. Therefore, the scope of the present invention, should as listed by claim book.
Claims (12)
1. Yi Zhong Jie Feishi electric power energy management devices, it is characterised in that, include:
Power information extraction module, so as to extracting the power consumption information of at least one equipment;
Analyze module, so as to analyzing 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
Processing module, so as to calculating this equipment in the current consumption feature of different time section feature and the electricity charge according to this power modes, and adjusts the process schedule information of this equipment according to this current consumption feature and this electricity charge;
Wherein, the average consumption measure feature of this processing module foundation section feature mean time and this electricity charge carry out the optimization calculation of this process schedule information, and the result that this optimization is calculated are imported in this process schedule information.
2. Jie Feishi electric power energy management devices according to claim 1, it is characterised in that, this power consumption contour feature comprises this equipment in the current consumption feature of single technique and time section feature.
3. Jie Feishi electric power energy management devices according to claim 2, it is characterized in that, this device also comprises alarm module, when the current consumption feature of this single technique exceeds the numerical value of Six Sigma or 95% level of confidence, then sends warning 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 this average consumption measure feature and this mean time section feature, this average consumption measure feature equals the current consumption feature sum total of this equipment in multiple single technique divided by multiple sample number of times of current consumption feature of those single techniques, and this, section feature equaled the time section feature sum total of this equipment in those single techniques divided by multiple sample number of times of the time section feature of those single techniques mean time.
5. Jie Feishi electric power energy management devices according to claim 1, it is characterised in that, when not meeting predetermined restricted condition or the condition of termination when the result that this optimization is calculated, then adjust this process schedule information by this processing module.
6. Jie Feishi electric power energy management devices according to claim 5, it is characterised in that, this restricted condition comprises process time or the contract capacity of this equipment, and the result that this termination condition comprises the calculation of this optimization has reached optimization or folded generation calculation number of times.
7. Yi Zhong Jie Feishi electric power energy management process, it is characterised in that, comprise 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;
Calculate this equipment in the current consumption feature of different time section feature and the electricity charge according to this power modes, and adjust the process schedule information of this equipment according to this current consumption feature and this electricity charge; And
The average consumption measure feature of foundation section feature mean time and this electricity charge carry out the optimization calculation of this process schedule information, and the result that this optimization is calculated are imported in this process schedule information.
8. Jie Feishi electric power energy management process according to claim 7, it is characterised in that, the method also comprises:
Judge whether the result that this optimization is calculated meets predetermined restricted condition; And
If then judging whether the result that this optimization is calculated meets predetermined termination condition, if not, then this process schedule information is adjusted.
9. Jie Feishi electric power energy management process according to claim 8, it is characterised in that, if the result of this optimization calculation meets this predetermined termination condition, then upgrade this process schedule information.
10. Jie Feishi electric power energy management process according to claim 9, it is characterised in that, this restricted condition comprises process time or the contract capacity of this equipment, and the result that this termination condition comprises the calculation of this optimization has reached optimization or folded generation calculation number of times.
11. Jie Feishi electric power energy management processs according to claim 7, it is characterised in that, this power consumption contour feature comprises this equipment in the current consumption feature of single technique and time section feature.
12. Jie Feishi electric power energy management processs according to claim 7, it is characterized in that, this power modes comprise average consumption measure feature and mean time section feature, this average consumption measure feature equals the current consumption feature sum total of this equipment in multiple single technique divided by multiple sample number of times of current consumption feature of those single techniques, and this, section feature equaled the time section feature sum total of this equipment in those single techniques divided by multiple sample number of times of the time section feature of those single techniques mean time.
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| TW101142583A TWI492181B (en) | 2012-11-15 | 2012-11-15 | Saving cost type power energy management apparatus and method |
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| US10013725B2 (en) | 2012-04-02 | 2018-07-03 | Carrier Corporation | Architecture for energy management of multi customer multi time zone distributed facilities |
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| Publication number | Publication date |
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| CN103809550A (en) | 2014-05-21 |
| TW201419201A (en) | 2014-05-16 |
| TWI492181B (en) | 2015-07-11 |
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