CN108061819A - Electric power analysis method - Google Patents
Electric power analysis method Download PDFInfo
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- CN108061819A CN108061819A CN201710875454.7A CN201710875454A CN108061819A CN 108061819 A CN108061819 A CN 108061819A CN 201710875454 A CN201710875454 A CN 201710875454A CN 108061819 A CN108061819 A CN 108061819A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 134
- 230000005611 electricity Effects 0.000 claims abstract description 58
- 230000008901 benefit Effects 0.000 claims description 8
- 238000004134 energy conservation Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 6
- 238000005265 energy consumption Methods 0.000 description 17
- 238000009434 installation Methods 0.000 description 11
- 238000006243 chemical reaction Methods 0.000 description 10
- 239000000284 extract Substances 0.000 description 9
- 241001465382 Physalis alkekengi Species 0.000 description 8
- 238000004378 air conditioning Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 8
- 238000001514 detection method Methods 0.000 description 5
- 101000911390 Homo sapiens Coagulation factor VIII Proteins 0.000 description 3
- 102000057593 human F8 Human genes 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 229940047431 recombinate Drugs 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Abstract
The invention discloses a power analysis method, which can be used for analyzing a plurality of power utilization devices of a building and comprises the following steps: providing a power consumption behavior database which can store historical switch use modes of each power consumption device; detecting the current switch use mode of each electric device; comparing the current switch use mode of each electric device with the historical switch use modes of the electric behavior database, and extracting each electric device conforming to the electric behavior database as a first electric device; and judging the category information and the electricity utilization information of each first electricity utilization device according to the current switch use mode of each first electricity utilization device so as to calculate the electricity consumption of each first electricity utilization device.
Description
Technical field
The invention relates to a kind of electric power analysis method, particularly a kind of electric power point applied to building energy consumption analysis
Analysis method.
Background technology
In general, using prior art electric power analysis method to a building carry out energy consumption analysis when, it is necessary to utilize
All power devices of building and ammeter are linked, and the power consumption of those power devices is measured using ammeter.
However, the limited amount of the passage due to ammeter, therefore an ammeter is only capable of linking with several power devices, such one
Come, if there are many quantity of the power device of building, need to set multiple ammeters, and ammeter is with high costs, therefore should
High hardware cost can be generated by carrying out energy consumption analysis to building with ammeter.
When carrying out energy consumption analysis to building using ammeter, those ammeters are needed through corresponding circuit and this building
All power device connections, therefore can also occupy very big space.
Also, since installation ammeter needs certain technological know-how, user can not voluntarily install ammeter, and need
The technician of specialty is asked to install ammeter, therefore application ammeter can also generate certain be mounted to building progress energy consumption analysis
This.
In addition, ammeter is also required to technician that periodically please be professional to be safeguarded, therefore application ammeter carries out energy to building
Consumption analysis can also generate certain maintenance cost.
In addition, in all electrical equipments of building, the electrical equipment for usually having part has the function of frequency conversion, and answers
The power consumption of these electrical equipments with frequency conversion function simultaneously can not be effectively judged with ammeter, therefore the accuracy of ammeter need
It is promoted.
Therefore, how to propose a kind of electric power analysis method, the electric power analysis method cost of prior art can be effectively improved
It is high, become using situation about being above restricted and accuracy is bad one it is very urgent the problem of.
The content of the invention
The problem of in view of above-mentioned prior art, a wherein purpose of the invention are exactly to provide a kind of electric power analysis side
Method, with solve the problems, such as the electric power analysis method of prior art it is with high costs, using being above restricted and accuracy is bad.
A wherein purpose according to the present invention, proposes a kind of electric power analysis method, can be used for the multiple of analysis building
Power device, and can comprise the steps of：An electricity consumption behavior database is provided, storing the history switch of each power device makes
Use pattern；Detect the current switch use pattern of each power device；By the current switch use pattern of each power device with
Those history switch use pattern of electricity consumption behavior database compares, and extraction meets each of electricity consumption behavior database and uses Denso
It puts as the first power device；And according to the current switch use pattern of each first power device judge its classification information and
Power information is to calculate its power consumption.
In a preferred embodiment, electric power analysis method can more comprise the steps of：Extraction does not meet electricity consumption behavior number
According to each power device in storehouse as the second power device；It is and the current switch use pattern of each second power device is defeated
Enter the building energy analysis model of building to calculate its power consumption.
In a preferred embodiment, electric power analysis method can more comprise the steps of：By each power device and sensing
Module links.
In a preferred embodiment, electric power analysis method can more comprise the steps of：Perform in advance measuring program when
Between the history switch use pattern of each power device is collected in section to establish electricity consumption behavior database.
In a preferred embodiment, electric power analysis method can more comprise the steps of：By each second power device
Switch use pattern formats to generate formatted message at present, and formatted message is made to meet the lattice of building energy analysis model
Formula.
In a preferred embodiment, electric power analysis method can more comprise the steps of：Formatted message is recombinated and is generated
Shuffling information makes shuffling information correspond to multiple fields of the form of building energy analysis model.
In a preferred embodiment, electric power analysis method can more comprise the steps of：Building energy analysis model is established,
Building energy analysis model includes the preset switches use pattern of each power device and voltage, the electricity of each second power device
One or more in stream and power.
In a preferred embodiment, electric power analysis method can more comprise the steps of：Substituted with shuffling information corresponding
The preset switches use pattern of second power device is to calculate its power consumption.
In a preferred embodiment, electric power analysis method can more comprise the steps of：It corrects and recombinates those the first use
The power consumption of the power consumption of electric installation and those the second power devices is to generate complete power information analysis result.
In a preferred embodiment, electric power analysis method can more comprise the steps of：It is analyzed according to complete power information
As a result perform energy conservation potential assessment and economic benefit (pay off period) calculates.
In a preferred embodiment, sensing module can be Internet of Things sensor.
In a preferred embodiment, power information can be included in the voltage, electric current and power of each first power device
One or more.
From the above, electric power analysis method under this invention can have the advantages that one or more are following：
(1) in one embodiment of the invention, electric power analysis method can utilize Internet of Things sensor (IoT) detection building
The current switch use pattern of all power devices, and intelligent electric meter is sent to calculate its power consumption, and Internet of Things sensor
It is of low cost, installation easily and need not periodically be safeguarded, therefore can reduce hardware cost, installation cost and safeguard into
This.
(2) in one embodiment of the invention, electric power analysis method can utilize all of Internet of Things sensor detection building
The current switch use pattern of power device, and intelligent electric meter is sent to calculate its power consumption, and Internet of Things sensor volume
It is small and need not be linked by circuit and power device, because big quantity space will not be occupied.
(3) in one embodiment of the invention, electric power analysis method can calculate tool Denso by building energy analysis model
The power consumption put, therefore i.e. part has frequency conversion function using electric installation, electric power analysis method can still carry out these power devices
Accurate energy consumption analysis, is substantially improved accuracy.
(4) in one embodiment of the invention, electric power analysis method can more carry out device electrical energy consumption analysis, energy conservation potential assessment
And a variety of value addedization functions such as economic benefit (pay off period) calculating, therefore apply upper more extensive.
Below in conjunction with the drawings and specific embodiments, the present invention will be described in detail, but not as a limitation of the invention.
Description of the drawings
Fig. 1 is the schematic diagram of the first embodiment of the electric power analysis method of the present invention.
Fig. 2 is the flow chart of the first embodiment of the electric power analysis method of the present invention.
Fig. 3 is the schematic diagram of the second embodiment of the electric power analysis method of the present invention.
Fig. 4 is the flow chart of the second embodiment of the electric power analysis method of the present invention.
Fig. 5 A are the first schematic diagram of the 3rd embodiment of the electric power analysis method of the present invention.
Fig. 5 B are the second schematic diagram of the 3rd embodiment of the electric power analysis method of the present invention.
Wherein, reference numeral
1st, 2 electric power analysis system
11 processing modules
12 sensing modules
21 intelligent electric meters
22 Internet of Things sensors
A1~A5 power devices
A1 ' electric fans
A2 ' air-conditionings
A3 ' TVs
A4 ' lamps and lanterns
A5 ' refrigerators
S21~S27, S41~S45 steps flow charts
Specific embodiment
Technical solution of the present invention is described in detail in the following with reference to the drawings and specific embodiments, to be further understood that
The purpose of the present invention, scheme and effect, but it is not intended as the limitation of scope of the appended claims of the present invention.
Referring to Fig. 1, its schematic diagram for the first embodiment of the electric power analysis method of the present invention.As shown in the figure, this reality
The electric power analysis method for applying example can be applied to an electric power analysis system 1 to analyze multiple power device A1~A5 of a building,
This electric power analysis system 1 can include processing module 11 and multiple sensing modules 12.
Processing module 11 can include electricity consumption behavior database, can store the history switch of each power device A1~A5 and make
With pattern (On ＆ Off pattern)；Electricity consumption behavior database can be established by measuring program in advance, i.e., in a time interval
The interior switch use pattern of the history in this time interval for collecting each power device A1~A5, and corresponding classification letter is provided
Breath and power information are to establish electricity consumption behavior database；Wherein classification information represent power device classification, as lamps and lanterns, air-conditioning or
Electric fan etc., and power information then represents every power consumption parameter of power device, such as one in electric current, voltage and power or with
On.
Those sensing modules 12 can link to detect those power devices A1~A5 respectively with those power devices A1~A5
Current switch use pattern, and transmit the current switch use pattern of those power devices A1~A5 to processing module 11；
In preferred embodiment, sensing module 12 can be Internet of Things (IoT) sensor.
Processing module 11 then can be by the current switch use pattern of those power devices A1~A5 and electricity consumption behavior database
Those history switch use pattern compare, and the extractable each power device for meeting electricity consumption behavior database is used as first
Electric installation.If for example, the current switch use pattern that power device A1 meets meet electricity consumption behavior database one of them go through
History switchs use pattern, and processing module 11 then can extract power device A1 as the first power device；If likewise, power device
The current switch use pattern that A3, A4 meet meets electricity consumption behavior database, and processing module 11 then can extract power device A3, A4
As the first power device.
Then, processing module 11 can then judge according to the current switch use pattern of each first power device A1, A3, A4
Its classification information, further according to its classification information and its power information, and can be according to the mesh of each first power device A1, A3, A4
Preceding switch use pattern and power information calculate its power consumption.
In addition, processing module 11 can more include building energy analysis model, this building energy analysis model can be included and corresponded to
In the energy models of those power devices A1~A5, and each energy models can have preset switches use pattern and use telecommunications
Breath can include the one or more in voltage, electric current and power, thereby simulate the power consumption of each power device A1~A5.
Next, and due to part power device may have frequency conversion function, easily it is effected by environmental factors,
It is made not have fixed switch use pattern, therefore those history switch that will not meet electricity consumption behavior database uses mould
Formula.And processing module 11 then can extract each power device for not meeting electricity consumption behavior database as the second power device.Example
Such as, if power device A2 and all history switch use pattern of electricity consumption behavior database are not met, processing module 11 can
Power device A2 is extracted as the second power device；If likewise, all history of power device A5 and electricity consumption behavior database
Switch use pattern is not met, and processing module 11 then can extract power device A5 as the second power device.
Then, processing module 11 can input the current switch use pattern of each second power device A2, A5 to building
Energy analysis model, and the preset switches use pattern of corresponding energy models is may replace, and calculated respectively according to its power information
The power consumption of a second power device A2, A5.
Finally, 11 recoverable of processing module and recombinate those first power devices A1, A3, A4 power consumption and those second
The power consumption of power device A2, A5 are to generate complete power information analysis result.Thereby, user is the institute that can be appreciated that building
There is the power consumption of power device A1~A5.
It can be seen from the above, electric power analysis method can utilize sensing module used by the electric power analysis system 1 of the present embodiment
The current switch use pattern of each power device is detected, and is compared with electricity consumption behavior database, then extracts and meets electricity consumption
Each power device of behavior database does not meet each power device of electricity consumption behavior database then to calculate its power consumption
Energy consumption analysis can be carried out by building energy analysis model to calculate its power consumption, is finally corrected and program of typically recombinating is to obtain
The complete power information analysis result of building entirety, therefore can need not use ammeter that can effectively be carried out to building
Energy consumption analysis, the shortcomings that electric power analysis method of prior art can actually be improved.
Referring to Fig. 2, its flow chart for the first embodiment of the electric power analysis method of the present invention.As shown in the figure, this reality
Applying the electric power analysis method of example can comprise the steps of：
In the step s 21, an electricity consumption behavior database is provided, the history switch for storing each power device uses mould
Formula.
In step S22, the current switch use pattern of each power device is detected.
In step S23, those by the current switch use pattern of each power device and electricity consumption behavior database are gone through
History switch use pattern compares, and extracts each power device for meeting electricity consumption behavior database as the first power device.
In step s 24, its classification information and use are judged according to the current switch use pattern of each first power device
Power information is to calculate its power consumption.
In step s 25, extraction does not meet each power device of electricity consumption behavior database as the second power device.
In step S26, by the building energy of the current switch use pattern input building of each second power device
Analysis model is to calculate the power consumption of each second power device.
In step s 27, correct and recombinate the power consumption of those the first power devices and the use of those the second power devices
Electricity is to generate complete power information analysis result.
Referring to Fig. 3, its schematic diagram for the second embodiment of the electric power analysis method of the present invention.As shown in the figure, this reality
The electric power analysis method for applying example can be applied to an electric power analysis system 2 to analyze multiple power devices of a building, can wrap
A1 containing electric fan ', air-conditioning A2 ', TV A3 ', lamps and lanterns A4 ' and refrigerator A5 ', this electric power analysis system 2 can include intelligent electric meter 21 and
Multiple Internet of Things (IoT) sensors 22.
Intelligent electric meter 21 can include electricity consumption behavior database, can store the history switch of each power device A1 '~A5 '
Use pattern (On＆Off pattern)；Likewise, electricity consumption behavior database can be established by measuring program in advance, i.e., for the moment
Between the switch use pattern of the history in this time interval of each power device A1 '~A5 ' is collected in section, and provide correspondence
Classification information and power information to establish electricity consumption behavior database.
Those Internet of Things sensors can link to detect those power devices A1 ' respectively with multiple power device A1 '~A5 '
The current switch use pattern of~A5 ', and the current use pattern that switchs of those power devices A1 '~A5 ' is transmitted to intelligent electricity
Table 21.
Intelligent electric meter 21 then can be by the current switch use pattern of those power devices A1 '~A5 ' and electricity consumption behavioral data
Those history switch use pattern in storehouse compares, and the extractable each power device for meeting electricity consumption behavior database is as first
Power device.For example, if the current switch use pattern of electric fan A1 ', TV A3 ' and lamps and lanterns A4 ' meet electricity consumption behavior database,
Intelligent electric meter 21 then can extract TV A3 ' and lamps and lanterns A4 ' as the first power device.
Then, intelligent electric meter 21 then can according to each first power device, i.e. electric fan A1 ', TV A3 ' and lamps and lanterns A4's '
At present switch use pattern judge its classification information, further according to its classification information and its power information, and can according to electric fan A1 ',
The current switch use pattern and power information of TV A3 ' and lamps and lanterns A4 ' calculates its power consumption.
In addition, intelligent electric meter 21 can more include building energy analysis model, this building energy analysis model can be included and corresponded to
In the energy models of those power devices A1 '~A5 ', and each energy models can have preset switches use pattern and use telecommunications
Breath can include the one or more in voltage, electric current and power, thereby simulate the electricity consumption of each power device A1 '~A5 '
Amount.
Next, and since air-conditioning A2 ' and refrigerator A5 ' parts power device may have frequency conversion function, easily by
To environmental factor, such as the influence of sunshine and temperature, it is made not have fixed switch use pattern, therefore electricity consumption will not be met
Those history switch use pattern of behavior database.And intelligent electric meter 21 then can extract and not meet each of electricity consumption behavior database
A power device is as the second power device.If for example, all history of air-conditioning A2 ' and refrigerator A5 ' and electricity consumption behavior database
Switch use pattern is not met, and intelligent electric meter 21 then can extract power device A5 as the second power device.
Then, intelligent electric meter 21 can be by each second power device, the i.e. current switch use of air-conditioning A2 ' and refrigerator A5 '
Formatted message can be recombinated and generated to meet the form of building energy analysis model by schema formatting generation formatted message
Shuffling information can be inputted shuffling information with meeting multiple fields of the form of building energy analysis model to building energy point
Model is analysed, and may replace the preset switches use pattern of corresponding energy models, and each air-conditioning is calculated according to its power information
The power consumption of A2 ' and refrigerator A5 '.
Finally, 21 recoverable of intelligent electric meter and those the first power devices are recombinated, electric fan A1 ', TV A3 ' and lamps and lanterns A4 '
Power consumption and those second power devices, the power consumption of air-conditioning A2 ' and refrigerator A5 ' is to generate complete power information analysis knot
Fruit.Thereby, user is the power consumption for all power device the A1 '~A5 ' that can be appreciated that building；In addition, user more can root
Energy conservation potential assessment and economic benefit (investment recycling are performed by building energy analysis model according to complete power information analysis result
The time limit) calculate etc. value addedization function.
It can be seen from the above, electric power analysis method can utilize Internet of Things to sense used by the electric power analysis system of the present embodiment
Device detects the current switch use pattern of each power device, and by the electricity consumption behavior database of intelligent electric meter and can build respectively
Build energy analysis model carry out energy consumption analysis to calculate the power consumption of each power device, be finally corrected and program of typically recombinating with
Obtain the complete power information analysis result of building entirety, therefore can need not can be effectively to building using ammeter
Carry out energy consumption analysis, even and the power device with frequency conversion function also can effectively calculate its power consumption, therefore with more
Good accuracy, the shortcomings that electric power analysis method of prior art can actually be improved.
In addition, it can more provide energy conservation potential assessment by above-mentioned electric power analysis method and calculate benefit (pay off period)
The value addedization functions such as calculating, therefore apply upper more extensive.
Referring to Fig. 4, its flow chart for the second embodiment of the electric power analysis method of the present invention.As shown in the figure, this reality
Applying the electric power analysis method of example can comprise the steps of：
In step S41, each power device in building and Internet of Things sensor are linked, to detect each electricity consumption
The current switch use pattern of device, and enter step S42.
In step S42, the current switch use pattern of each power device with electricity consumption behavior database is compared, and is sentenced
The current of each power device of breaking switchs whether use pattern meets electricity consumption behavior databaseIf meeting, S421 is entered step,
If not meeting, S43 processing is entered step.
In step S421, extraction meets each power device of electricity consumption behavior database as the first power device, and
According to it, switch use pattern judges its classification information and power information to calculate its power consumption at present, and enter step S422.
In step S422, the power consumption of each first power device is kept in, and enters step S43.
In step S43, extraction does not meet each power device of electricity consumption behavior database as the second power device, and
The current switch use pattern of each second power device is inputted into the building energy analysis model of building to calculate its electricity consumption
Amount, and enter step S44.
In step S44, correct and recombinate the power consumption of those the first power devices and the use of those the second power devices
Electricity, and enter step S45.
In step S45, the complete power information analysis result of building is generated.
It is noted that the electric power analysis method of prior art need to carry out energy consumption point using multiple ammeters to building
Analysis, however, high hardware cost, installation cost and maintenance cost can be generated by carrying out energy consumption analysis to building using ammeter.
Opposite, in one embodiment of the invention, electric power analysis method can utilize all electricity consumptions of Internet of Things sensor detection building
The current switch use pattern of device, and be sent to intelligent electric meter to calculate its power consumption, and Internet of Things sensor it is of low cost,
Installation is easy and need not periodically be safeguarded, therefore can reduce hardware cost, installation cost and maintenance cost.
The electric power analysis method of prior art need to carry out building energy consumption analysis using multiple ammeters, and those ammeters need
To be linked by all power devices of corresponding circuit and this building, therefore can also occupy very big space.Opposite, this
In one embodiment of invention, electric power analysis method can utilize the current of all power devices of Internet of Things sensor detection building
Use pattern is switched, and is sent to intelligent electric meter to calculate its power consumption, and Internet of Things sensor is small and need not pass through
Circuit links with power device, because that will not occupy big quantity space.
Also, though the electric power analysis method of prior art can analyze the power consumption of most power device, building
In all electrical equipments of object, the electrical equipment for usually having part has the function of frequency conversion, and applies ammeter simultaneously can not be effectively
Judge the power consumption of these electrical equipments with frequency conversion function, therefore the accuracy of ammeter is also to be hoisted.Opposite, the present invention
An embodiment in, electric power analysis method can by building energy analysis model calculate tool power device power consumption, therefore even if
Part power device has frequency conversion function, and electric power analysis method still can carry out accurate energy consumption analysis to these power devices, make
Accuracy is substantially improved.
In addition, in one embodiment of the invention, electric power analysis method can more carry out energy conservation potential assessment and economic benefit
A variety of value addedization functions such as (pay off period) calculating, therefore apply upper more extensive.It can be seen from the above, the real tool progress of the present invention
The patent requirement of property.
Fig. 5 A and Fig. 5 B are referred to, for the first schematic diagram of the 3rd embodiment of the electric power analysis method of the present invention and the
Two schematic diagrames, example illustrates that the one of which of the electric power analysis method of the present invention preferably uses situation.
As shown in Figure 5A, user can link all power devices of building with Internet of Things sensor 22, and can profit
The current switch use pattern of each power device is detected with Internet of Things sensor 22.
Shown in Fig. 5 B, intelligent electric meter can receive the current switch use pattern of each power device, and can pass through intelligence respectively
The electricity consumption behavior database and building energy analysis model of energy ammeter carry out energy consumption analysis to calculate the electricity consumption of each power device
Amount, is finally corrected and program of typically recombinating is to obtain the complete power information analysis result of building entirety.
In conclusion in one embodiment of the invention, electric power analysis method can utilize Internet of Things sensor to detect building
All power devices current switch use pattern, and be sent to intelligent electric meter to calculate its power consumption, and Internet of Things senses
Device is of low cost, installation is easy and need not periodically be safeguarded, thus can reduce hardware cost, installation cost and safeguard into
This.
Also, in one embodiment of the invention, electric power analysis method can utilize all of Internet of Things sensor detection building
The current switch use pattern of power device, and intelligent electric meter is sent to calculate its power consumption, and Internet of Things sensor volume
It is small and need not be linked by circuit and power device, because big quantity space will not be occupied.
In addition, in one embodiment of the invention, electric power analysis method can calculate tool electricity consumption by building energy analysis model
The power consumption of device, therefore even if part power device has frequency conversion function, electric power analysis method still can be to these power devices
Accurate energy consumption analysis is carried out, accuracy is substantially improved.
Furthermore in one embodiment of the invention, electric power analysis method can more carry out energy conservation potential assessment and economic benefit (is thrown
Provide payback period) calculate etc. a variety of value addedization functions, therefore apply it is upper more extensive.
Certainly, the present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, ripe
It knows those skilled in the art and makes various corresponding changes and deformation, but these corresponding changes and change in accordance with the present invention
Shape should all belong to the protection domain of appended claims of the invention.
Claims (12)
- A kind of 1. electric power analysis method, which is characterized in that for analyzing multiple power devices of a building, and include following step Suddenly：One electricity consumption behavior database is provided, stores the history switch use pattern of each power device；Detect each power device one switchs use pattern at present；The current switch use pattern of each power device and those history of the electricity consumption behavior database are switched and used Model Comparison, and each power device for meeting the electricity consumption behavior database is extracted as one first power device；AndAccording to the current switch use pattern of each first power device judge one classification information and a power information with Calculate its power consumption.
- 2. electric power analysis method as described in claim 1, which is characterized in that further include the following steps：Extraction does not meet each power device of the electricity consumption behavior database as one second power device；AndThe one of each second power device is switched at present the building energy analysis model that use pattern inputs the building To calculate its power consumption.
- 3. electric power analysis method as described in claim 1, which is characterized in that further include the following steps：Each power device and a sensing module are linked.
- 4. electric power analysis method as described in claim 1, which is characterized in that further include the following steps：Perform one in advance measuring program collected in a time interval each power device the history switch use pattern with Establish the electricity consumption behavior database.
- 5. electric power analysis method as claimed in claim 3, which is characterized in that the sensing module is an Internet of Things sensor.
- 6. electric power analysis method as described in claim 1, which is characterized in that the power information includes each this and first uses Denso One or more in a voltage, an electric current and the power put.
- 7. electric power analysis method as claimed in claim 2, which is characterized in that further include the following steps：The one of each second power device switch use pattern formatting at present to generate a formatted message, is made into the form Change the form that information meets the building energy analysis model.
- 8. electric power analysis method as claimed in claim 2, which is characterized in that further include the following steps：It corrects and recombinates the power consumption of those the first power devices and the power consumption of those the second power devices is complete to generate one Power information analysis result.
- 9. electric power analysis method as claimed in claim 7, which is characterized in that further include the following steps：The formatted message is recombinated and generates a shuffling information, the shuffling information is made to correspond to being somebody's turn to do for the building energy analysis model Multiple fields of form.
- 10. electric power analysis method as claimed in claim 7, which is characterized in that further include the following steps：The building energy analysis model is established, the preset switches which includes each power device make With the one or more in a voltage of pattern and each second power device, an electric current and a power.
- 11. electric power analysis method as claimed in claim 8, which is characterized in that further include the following steps：The assessment of one energy conservation potential and an economic benefit calculation are performed according to the complete power information analysis result.
- 12. electric power analysis method as claimed in claim 9, which is characterized in that further include the following steps：With the shuffling information preset switches use pattern of corresponding second power device is substituted to calculate its power consumption.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW105136326A TWI634510B (en) | 2016-11-08 | 2016-11-08 | Power analysis method for analyzing power consumption of a building |
| TW105136326 | 2016-11-08 |
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| Publication Number | Publication Date |
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| CN108061819A true CN108061819A (en) | 2018-05-22 |
| CN108061819B CN108061819B (en) | 2020-11-10 |
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| CN201710875454.7A Active CN108061819B (en) | 2016-11-08 | 2017-09-25 | Electric power analysis method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201203770A (en) * | 2010-07-02 | 2012-01-16 | Univ Nat Chiao Tung | Power monitoring device for identifying state of electric equipment and power monitoring method thereof |
| CN103824442A (en) * | 2014-03-05 | 2014-05-28 | 安徽汉高电子科技有限公司 | Real-time inquiring system for electricity utilization information based on electricity network |
| CN103984307A (en) * | 2014-05-08 | 2014-08-13 | 国网山西省电力公司经济技术研究院 | Energy monitoring management system and method based on electricity waveform analysis |
| TW201433038A (en) * | 2013-02-05 | 2014-08-16 | Univ Chien Hsin Sci & Tech | Smart home or building energy management system with nonintrusive load monitoring |
| CN104597350A (en) * | 2015-01-23 | 2015-05-06 | 国家电网公司 | System and method capable of automatically classifying building electricity based on energy efficiency monitoring |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2408592B (en) * | 2003-11-27 | 2005-11-16 | James Ian Oswald | Household energy management system |
| US8255090B2 (en) * | 2008-02-01 | 2012-08-28 | Energyhub | System and method for home energy monitor and control |
| US8649987B2 (en) * | 2008-05-07 | 2014-02-11 | PowerHouse dynamics, Inc. | System and method to monitor and manage performance of appliances |
| US8433530B2 (en) * | 2008-09-18 | 2013-04-30 | ThinkEco, Inc. | System and method for monitoring and management of utility usage |
| US8090480B2 (en) * | 2009-01-07 | 2012-01-03 | International Business Machines Corporation | Consumer electronic usage monitoring and management |
| US20150012147A1 (en) * | 2012-01-20 | 2015-01-08 | Energy Aware Technology Inc. | System and method of compiling and organizing power consumption data and converting such data into one or more user actionable formats |
| US9235825B2 (en) * | 2012-03-05 | 2016-01-12 | Green Charge Neworks LLC | Processing load profiles for consumption management systems |
| US10460274B2 (en) * | 2013-11-18 | 2019-10-29 | Bidgely Inc. | Energy disaggregation techniques for whole-house energy consumption data |
| US20150268281A1 (en) * | 2014-03-19 | 2015-09-24 | Neurio Technology Inc. | System and method for monitoring, analyzing and acting upon electricity patterns |
| US9733656B2 (en) * | 2014-04-16 | 2017-08-15 | Salusfin Ltd. | System and method for automated household energy management based on classification and location information |
| CN104318073B (en) * | 2014-10-08 | 2018-01-05 | 中国建筑设计院有限公司 | The method of the electric simulation of energy consumption and energy-conservation of single residential architecture |
| CN107209212B (en) * | 2014-11-17 | 2021-01-05 | 库尔布股份有限公司 | Resource monitoring system with device decomposition and device specific notification |
| TWI553987B (en) * | 2014-12-10 | 2016-10-11 | 中興保全股份有限公司 | Electric power monitoring system |
-
2016
- 2016-11-08 TW TW105136326A patent/TWI634510B/en active
-
2017
- 2017-09-25 CN CN201710875454.7A patent/CN108061819B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201203770A (en) * | 2010-07-02 | 2012-01-16 | Univ Nat Chiao Tung | Power monitoring device for identifying state of electric equipment and power monitoring method thereof |
| TW201433038A (en) * | 2013-02-05 | 2014-08-16 | Univ Chien Hsin Sci & Tech | Smart home or building energy management system with nonintrusive load monitoring |
| CN103824442A (en) * | 2014-03-05 | 2014-05-28 | 安徽汉高电子科技有限公司 | Real-time inquiring system for electricity utilization information based on electricity network |
| CN103984307A (en) * | 2014-05-08 | 2014-08-13 | 国网山西省电力公司经济技术研究院 | Energy monitoring management system and method based on electricity waveform analysis |
| CN104597350A (en) * | 2015-01-23 | 2015-05-06 | 国家电网公司 | System and method capable of automatically classifying building electricity based on energy efficiency monitoring |
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| TW201818331A (en) | 2018-05-16 |
| CN108061819B (en) | 2020-11-10 |
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