CN105004915A - Standby power calculating method for power consumption equipment - Google Patents

Standby power calculating method for power consumption equipment Download PDF

Info

Publication number
CN105004915A
CN105004915A CN201510416661.7A CN201510416661A CN105004915A CN 105004915 A CN105004915 A CN 105004915A CN 201510416661 A CN201510416661 A CN 201510416661A CN 105004915 A CN105004915 A CN 105004915A
Authority
CN
China
Prior art keywords
power
window phase
performance number
value
standby power
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510416661.7A
Other languages
Chinese (zh)
Other versions
CN105004915B (en
Inventor
倪立洲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HANGZHOU HEZHI ELECTRONIC TECHNOLOGY Co Ltd
Original Assignee
HANGZHOU HEZHI ELECTRONIC TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HANGZHOU HEZHI ELECTRONIC TECHNOLOGY Co Ltd filed Critical HANGZHOU HEZHI ELECTRONIC TECHNOLOGY Co Ltd
Priority to CN201510416661.7A priority Critical patent/CN105004915B/en
Publication of CN105004915A publication Critical patent/CN105004915A/en
Application granted granted Critical
Publication of CN105004915B publication Critical patent/CN105004915B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention provides a standby power calculating method for power consumption equipment, which belongs to the field of calculation. The current power of the power consumption equipment is acquired through setting a time interval, and an acquiring window period is set. When a power jump is determined, an accurate standby power is obtained through checking the power of the window period, and finally the standby power of the power consumption equipment is obtained through calculation. The standby power calculating method can satisfy a requirement for calculating the standby powers of different types of power consumption equipment, and overcomes a problem of incapability of accurately calculating the standby power because of low power factor of the power consumption equipment on the standby condition. A relatively accurate standby power can be obtained.

Description

A kind of consumer standby power measuring method
Technical field
The present invention relates to measuring and calculating field, particularly relate to a kind of consumer standby power measuring method.
Background technology
Along with the development in epoch, in Modern Family, consumer kind gets more and more, and electricity consumption of resident is more and more higher, and a lot of user not cut off the electricity supply when not making electrical appliance custom, causes having a large amount of waiting electric quantities to be wasted every year.Many people start to pay close attention to household electrical appliance and whether there is recessive power consumption, and detecting the standby power consumption of consumer has more urgent demand.General family is all with power measuring test, but test is all current power, normally can not reflect actual result.
Summary of the invention
For the deficiencies in the prior art, the invention provides a kind of consumer standby power measuring method, the survey calculation of the standby consumed power of dissimilar consumer can be met, obtain a waiting electric quantity value accurately.
In order to achieve the above object, the technical solution adopted in the present invention is: a kind of consumer standby power measuring method, specifically comprises the steps:
(1) current power value of consumer is gathered with set acquisition time interval;
The acquisition time interval of setting power harvester, in acquisition time axle, choose N number of continuous acquisition o'clock as a window phase, wherein N is positive integer; One group of performance number is comprised in a described window phase; In acquisition time axle continuous acquisition n (n be more than or equal to 3 natural number) performance number of individual window phase;
(2) judge whether the power in window phase saltus step occurs;
According to the performance number of n the window phase that step 1 obtains, the start saltus step reference value P of setting consumer 0, calculate the average power of all performance numbers in first window phase
Power saltus step in window phase comprises start power saltus step and closes acc power saltus step;
Described start power saltus step determination methods is specially:
By all performance numbers in first window phase one by one with start saltus step reference value P 0compare, if detect that the performance number in this window phase has one to exceed start saltus step reference value P 0, then illustrate that consumer is in start power transitional states;
Described pass acc power saltus step determination methods is specially:
Carry out linear fit to the often group performance number in n window phase according to formula f (x)=ax+b, wherein f (x) is Trend value, and x is time variable, and a is slope, and b is undetermined coefficient, obtains the slope often organizing performance number in each window phase; According to time shaft order, compare the slope often organizing performance number in this n window phase, if slope is continuous decrease, then illustrates that consumer is in and close acc power transitional states;
(3) performance number of window phase is checked;
If there is the saltus step of start power, then get the performance number of performance number as the home window phase of first window phase; If occur to close acc power saltus step, then get the performance number of performance number as the home window phase of the n-th window phase;
According to the performance number of the home window phase that step 2 obtains, the arithmetic mean calculating the performance number in this window phase is
Setting check baseline value σ, has one not in check scope if detected in the performance number in the home window phase in, then the performance number in the home window phase is deleted the performance number collected at first according to acquisition time with first-in first-out order, now the home window phase is moved on a timeline backward; , the performance number that next collection point gathers was increased in the home window phase meanwhile, forms new window phase; Recalculate the arithmetic mean power of the performance number in new window phase with new check baseline value σ ', continue the performance number in new window phase and new check scope compare; Repeat above-mentioned check process, until the power data in window phase all drops in sensing range, thus obtain the window phase after stablizing;
(4) standby power of consumer is calculated
Obtain the window phase after stablizing according to step 3, the arithmetic mean of the performance number in the window phase after calculation stability, this arithmetic mean is the standby power value of consumer, terminates to calculate, stores this standby power value;
When saltus step occurs the power of consumer again, repeat step 1-step 4, again calculate standby power value, obtain new standby power value;
If new standby power value is larger than original standby power value stored, then abandon new standby power value, so the standby power of consumer is original standby power value stored; If new standby power value is less than the original standby power value stored, then new standby power value is covered original standby power value stored, so the standby power of consumer is new standby power value.
Further, specifically the comprising the following steps of described setting check baseline value σ:
First calculate average power reference value V, average power reference value V is determined jointly by the measuring error C of metering circuit itself and power swing ratio B, and computing formula is as follows: V=C/B;
If the arithmetic mean calculating the performance number in the home window phase is be greater than average power reference value V, then σ equals power swing ratio B and arithmetic mean product, namely if the arithmetic mean calculating the performance number in the home window phase is be less than average power reference value V, then σ is a fixed value, and its value is the measuring error C of metering circuit itself, i.e. σ=C.
Further, the start saltus step reference value P of described consumer 0for 2 times of Acquisition Circuit Acquisition Error.
Further, described power swing ratio B is 10%.
Compared with prior art, the invention has the beneficial effects as follows: the current power value being gathered consumer by setting acquisition time interval, the setting acquisition window phase, when judging power generation saltus step, obtaining standby power accurately by carrying out check to the power of window phase, finally calculating the standby power of consumer.Technique scheme, can be satisfied with the survey calculation of the standby consumed power of dissimilar consumer, and overcome consumer because power factor is low under waiting condition, the problem that cannot accurately calculate, can obtain a standby power value more accurately.
Accompanying drawing explanation
Fig. 1 is the standby power measuring method process flow diagram of a kind of consumer that the invention provides embodiment 1;
Fig. 2 is the changed power curve synoptic diagram that the air-conditioning that the invention provides embodiment 1 is energized to start;
Fig. 3 is the standby power measuring method process flow diagram of the another kind of consumer that the invention provides embodiment 2;
Changed power curve synoptic diagram when Fig. 4 is the air-conditioning shutdown that the invention provides embodiment 2.
Embodiment
Below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail.
Embodiment 1
As shown in Figure 1, be the process flow diagram of the standby power measuring method of a kind of consumer of invention, concrete following steps:
(1) current power value of consumer is gathered with set acquisition time interval
The present embodiment, will do related description using air-conditioning as typical consumer, as shown in Figure 2, be the changed power curve map that an air-conditioning is energized to start.
Gathered the current power value of air-conditioning with set acquisition time interval by power collecting device, acquisition time interval can artificially set, such as, can be 0.1s, 0.05s, but interval is less, the numerical value finally calculated is more accurate, and the present embodiment 1 is for 0.1s.
10 continuous acquisition are chosen o'clock as an acquisition window phase in acquisition time axle, the performance number collected is put into window phase array, suppose in current window phase, to contain one group of power data, sort according to time shaft order, numerical value is: 4.0W, 4.2W, 5.0W, 6.1W, 6.6W, 6.7W, 6.8W, 6.9W, 6.9W, 6.9W, calculate the arithmetic mean P of current window phase performance number, obtaining average power is
(2) setting start saltus step reference value
According to the self performance of harvester and the Acquisition Error of Acquisition Circuit, arrange 2 times that start saltus step reference value is the Acquisition Error of Acquisition Circuit.Such as metering circuit itself has the measuring error of 0.5W, start saltus step reference value can be set to 1W according to error range.
(3) performance number in window phase and start saltus step reference value are compared
If a certain performance number in window phase exceedes start saltus step reference value, judge that consumer starts saltus step occurs.Performance number in window phase and start saltus step reference value are compared, in window phase, first performance number 4.0W has exceeded start saltus step reference value 1W, judges that air-conditioning there occurs saltus step, starts to measure standby power.
(4) power of window phase is checked
First calculate average power reference value V, average power reference value V is determined jointly by the measuring error C of metering circuit itself and the fluctuation ratio B of power, and computing formula is as follows: V=C/B;
Described power swing ratio B is the scope allowing power normal fluctuation; It is less that power swing ratio B is arranged, and the standby power obtained is more accurate, but the time finally obtained required for stabilization result is longer, and ratio establish too small, possibly cannot obtain final standby power consumption value;
If the arithmetic mean calculating the performance number in the home window phase is be greater than average power reference value V, then σ equals power swing ratio B and arithmetic mean product, namely if the arithmetic mean calculating the performance number in the home window phase is be less than average power reference value V, then σ is a fixed value, and its value is the measuring error C of metering circuit itself, i.e. σ=C; Result of calculation can be allowed more accurate by such setting.
In embodiment 1, the error C of metering circuit itself is 0.5W, and simultaneously according to actual measurement, when air-conditioning is in steady state (SS), power has and fluctuates up and down.In actual application, when fluctuation ratio value B is taken as 10%, in the short period of time, stable standby power can be obtained.Average power reference value V is obtained for 0.5/10%=5W with this.
And obtain when average power is 6W in step 1, exceed average power reference value 5W, the value now setting check baseline value σ is the product of fluctuation ratio value B and average power, i.e. 10%*6W=0.6W, that is when the power data in window phase is all in check scope for in 5.4W ~ 6.6W time, then think that power data is stablized.Power data interim for current window and check scope are compared, first data 4.0W detected not in check scope 5.4W ~ 6.6W, now window phase is moved on a timeline backward, abandon these data of 4.0W, the power data 6.9W that next collection point collects is increased in window phase array simultaneously, and the average power recalculated in this window phase and new check baseline value, continue performance number and new check scope to compare.
When numerical value in window phase is: when 4.2W, 5.0W, 6.1W, 6.6W, 6.7W, 6.8W, 6.9W, 6.9W, 6.9W, 6.9W, calculating average power is 6.3W, the interim check scope of new window is 5.7W ~ 6.9W, power data interim for new window and check scope are compared, detect that first data 4.2W be not in the scope of 5.7W ~ 6.9W, continue window phase to move on a timeline backward, abandon these data of 4.2W, again the power data that next collection point collects is increased in window array simultaneously.
Repeat above-mentioned steps, until the power data in window phase all drops within the scope of check.
(5) standby power of consumer is calculated
After by the check in step 4, if all power datas all drop in a window phase time within the scope of check, then think that now power is stablized; Calculate the average power of this window phase internal power, now the average power of mouth phase internal power is the standby power value of this consumer, stores standby power data.
Such as after the check afterwards of step 4, power data in window phase becomes: 6.6W, 6.7W, 6.8W, 6.9W, 6.9W, 6.9W, 7.0W, 6.9W, 7.0W, 7.0W, now average power is 6.9W, check scope is 6.2W ~ 7.6W, all data all drop within the scope of this, average power 6.9W is now current standby power value, stores standby power value.
Embodiment 2
As shown in Figure 3, be the standby power measuring method process flow diagram of another kind of consumer of the present invention, specifically comprise the following steps:
(1) gather the current power value of consumer with set acquisition time interval, get continuously in acquisition time axle n (n be more than or equal to 3 natural number) individual window time value, in the present embodiment 2, n gets 3;
The present embodiment 2 as shown in Figure 4, is that an air-conditioning is from running to standby changed power curve map.
Gathered the current power value of air-conditioning with the acquisition interval of setting by power collecting device, acquisition time interval can artificially set, and can be such as 0.1s, 0.05s, but interval is less, the numerical value finally calculated be more accurate, and the present embodiment 2 is for 0.1s.
In acquisition time axle, choose 10 continuous acquisition o'clock as an acquisition window phase, continuous acquisition 3 window phases, are respectively window phase 31, window phase 32, window phase 33, the power data collected are put into this 3 window phase arrays.
Contain one group of power data respectively in 3 current window phases, according to the sequence of time shaft order, in window phase 31, data have been: 12.0W, 12.1W, 12.2W, 12.0W, 11.9W, 12.2W, 12.2W, 12.1W, 11.9W, 11.0W; In window phase 32, data are: 12.1W, 12.2W, 12.0W, 11.9W, 12.2W, 12.2W, 12.1W, 11.9W, 11.0W, 8.0W; In window phase 33, data are: 12.2W, 12.0W, 11.9W, 12.2W, 12.2W, 12.1W, 11.9W, 11.0W, 8.0W, 7.0W; Calculate the arithmetic mean of 3 window phase power datas respectively, obtain window phase 31, window phase 32, window phase 33 average power be respectively 11.96W, 11.56W, 11.05W.
(2) regretional analysis is carried out to group performance number of in each window phase, according to analysis result, judge whether consumer saltus step occurs, if there is saltus step, start to measure standby power
Judge according to changed power, data fit trends of straight line equation in window phase, according to formula f (x)=ax+b, linear regression fit is carried out to the data in window phase 31, window phase 32, window phase 33, f (x) is Trend value, x is time variable, and a is slope, and b is undetermined coefficient.Obtain respectively window phase 31, window phase 32, window phase 33 fitting result be respectively:
f(x) 31=-0.0606x+12.293;f(x) 32=-0.2739x+13.067;f(x) 33=-0.4867x+13.727
According to fitting result, the slope of window phase 31, window phase 32, window phase 33 is-0.0606 ,-0.2739 ,-0.4867 respectively, and slope represents the variation tendency of data.
To obtain contrasting respectively before and after 3 slope datas, can show that slope is continuing to diminish, power continuous decrease, and therefore judge that consumer sends saltus step, start to measure standby power.
(3) power of window phase is checked
In 3 window phases, get the data of last window phase 33 as the raw data of checking.
In window phase 33, the average power of one group of power data is 11.05W, exceed average power reference value 5W, the value now setting check baseline value σ is the product of fluctuation ratio value B and average power, i.e. 10%*11.05W=1.105W, namely when the power data in window phase is all when checking scope 9.95W ~ 12.16W, then think that this power data is stablized.Power data interim for current window and check scope are compared, detect that first data 12.2W be not in the scope of 9.95W ~ 12.16W, now window phase is moved on a timeline backward, abandon these data of 12.2W, the power data 6.9W that next collection point collects is increased in window array simultaneously, and recalculate average power and check baseline value, continue power data and check scope to compare.
(4) standby power of consumer is calculated
By step 3, time shaft arrives window phase 34, power data in window phase becomes: 6.0W, 5.8W, 6.0W, 5.8W, 6.5W, 6.2W, 5.6W, 6.2W, 6.1W, 6.3W, average power 6.05W now, the check scope of new window phase is 5.5W ~ 6.7W, all data all drop within the scope of this, average power 6.05W be now newly calculate standby power value.
(5) the standby power value newly obtained and the original standby power value stored are compared
If the standby power value newly obtained is less than original standby power value stored, then forward step 6 to; If the standby power value newly obtained is larger than the original standby power value stored, then forward step 7 to;
(6) original standby power value stored is covered by the standby power value newly obtained
The standby power value 6.05W newly obtained and the original standby power value 6.9W stored is compared, find that the standby power value that newly obtains is less than original, the standby power value 6.05W newly obtained is covered the original standby power value stored, and the standby power value of current air-conditioning is 6.05W.
(7) the standby power value newly obtained is abandoned
Above-described embodiment for the invention will be further described, but does not limit the invention to these embodiments.One skilled in the art would recognize that all alternativess, improvement project and the equivalents that present invention encompasses and may comprise in Claims scope.

Claims (4)

1. a consumer standby power measuring method, is characterized in that, comprises following steps:
(1) current power value of consumer is gathered with set acquisition time interval;
The acquisition time interval of setting power harvester, in acquisition time axle, choose N number of continuous acquisition o'clock as a window phase, wherein N is positive integer; One group of performance number is comprised in a described window phase; In acquisition time axle continuous acquisition n (n be more than or equal to 3 natural number) performance number of individual window phase;
(2) judge whether the power in window phase saltus step occurs;
According to the performance number of n the window phase that step 1 obtains, the start saltus step reference value P of setting consumer 0, calculate the average power of all performance numbers in first window phase
Power saltus step in window phase comprises start power saltus step and closes acc power saltus step;
Described start power saltus step determination methods is specially:
By all performance numbers in first window phase one by one with start saltus step reference value P 0compare, if detect that the performance number in this window phase has one to exceed start saltus step reference value P 0, then illustrate that consumer is in start power transitional states;
Described pass acc power saltus step determination methods is specially:
Carry out linear fit to the often group performance number in n window phase according to formula f (x)=ax+b, wherein f (x) is Trend value, and x is time variable, and a is slope, and b is undetermined coefficient, obtains the slope often organizing performance number in each window phase; According to time shaft order, compare the slope often organizing performance number in this n window phase, if slope is continuous decrease, then illustrates that consumer is in and close acc power transitional states;
(3) performance number of window phase is checked;
If there is the saltus step of start power, then get the performance number of performance number as the home window phase of first window phase; If occur to close acc power saltus step, then get the performance number of performance number as the home window phase of the n-th window phase;
According to the performance number of the home window phase that step 2 obtains, the arithmetic mean calculating the performance number in this window phase is
Setting check baseline value σ, has one not in check scope if detected in the performance number in the home window phase in, then the performance number in the home window phase is deleted the performance number collected at first according to acquisition time with first-in first-out order, now the home window phase is moved on a timeline backward; , the performance number that next collection point gathers was increased in the home window phase meanwhile, forms new window phase; Recalculate the arithmetic mean power of the performance number in new window phase with new check baseline value σ ', continue the performance number in new window phase and new check scope compare; Repeat above-mentioned check process, until the power data in window phase all drops in sensing range, thus obtain the window phase after stablizing;
(4) standby power of consumer is calculated
Obtain the window phase after stablizing according to step 3, the arithmetic mean of the performance number in the window phase after calculation stability, this arithmetic mean is the standby power value of consumer, terminates to calculate, stores this standby power value;
When saltus step occurs the power of consumer again, repeat step 1-step 4, again calculate standby power value, obtain new standby power value;
If new standby power value is larger than original standby power value stored, then abandon new standby power value, so the standby power of consumer is original standby power value stored; If new standby power value is less than the original standby power value stored, then new standby power value is covered original standby power value stored, so the standby power of consumer is new standby power value.
2. a kind of consumer standby power measuring method according to claim 1, it is characterized in that, described setting check baseline value σ specifically comprises the following steps:
First calculate average power reference value V, average power reference value V is determined jointly by the measuring error C of metering circuit itself and power swing ratio B, and computing formula is as follows: V=C/B;
If the arithmetic mean calculating the performance number in the home window phase is be greater than average power reference value V, then σ equals power swing ratio B and arithmetic mean product, namely if the arithmetic mean calculating the performance number in the home window phase is be less than average power reference value V, then σ is a fixed value, and its value is the measuring error C of metering circuit itself, i.e. σ=C.
3. a kind of consumer standby power measuring method according to claim 1, is characterized in that, the start saltus step reference value P of described consumer 0for 2 times of Acquisition Circuit Acquisition Error.
4. a kind of consumer standby power measuring method according to claim 2, it is characterized in that, described power swing ratio B is generally 10%.
CN201510416661.7A 2015-07-15 2015-07-15 A kind of electrical equipment standby power measuring method Active CN105004915B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510416661.7A CN105004915B (en) 2015-07-15 2015-07-15 A kind of electrical equipment standby power measuring method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510416661.7A CN105004915B (en) 2015-07-15 2015-07-15 A kind of electrical equipment standby power measuring method

Publications (2)

Publication Number Publication Date
CN105004915A true CN105004915A (en) 2015-10-28
CN105004915B CN105004915B (en) 2017-09-01

Family

ID=54377658

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510416661.7A Active CN105004915B (en) 2015-07-15 2015-07-15 A kind of electrical equipment standby power measuring method

Country Status (1)

Country Link
CN (1) CN105004915B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110376429A (en) * 2019-06-06 2019-10-25 国网浙江省电力有限公司 A method of identification household electrical appliance use state

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201622304U (en) * 2010-04-07 2010-11-03 武汉神华节能科技发展有限公司 Standby energy consumption test instrument
CN201819343U (en) * 2010-08-31 2011-05-04 四川长虹空调有限公司 Air conditioner with standby power detection and display functions
JP2011169703A (en) * 2010-02-17 2011-09-01 Hioki Ee Corp Wattmeter
EP2911273A1 (en) * 2012-10-19 2015-08-26 Panasonic Intellectual Property Management Co., Ltd. Stand-by power estimation device, program

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011169703A (en) * 2010-02-17 2011-09-01 Hioki Ee Corp Wattmeter
CN201622304U (en) * 2010-04-07 2010-11-03 武汉神华节能科技发展有限公司 Standby energy consumption test instrument
CN201819343U (en) * 2010-08-31 2011-05-04 四川长虹空调有限公司 Air conditioner with standby power detection and display functions
EP2911273A1 (en) * 2012-10-19 2015-08-26 Panasonic Intellectual Property Management Co., Ltd. Stand-by power estimation device, program

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110376429A (en) * 2019-06-06 2019-10-25 国网浙江省电力有限公司 A method of identification household electrical appliance use state
CN110376429B (en) * 2019-06-06 2021-08-24 国网浙江省电力有限公司 Method for identifying using state of household appliance

Also Published As

Publication number Publication date
CN105004915B (en) 2017-09-01

Similar Documents

Publication Publication Date Title
CN105588995B (en) A kind of automatic power-measuring system line loss method for detecting abnormality
US9829880B2 (en) System and method for modelling load in an electrical power network
CN109307811A (en) A kind of user's dedicated transformer electricity consumption monitoring method excavated based on big data
US20110288793A1 (en) Event identification
CN101276949A (en) Device and method for detecting battery performance of hybrid power vehicle
EP3082096A1 (en) Demand prediction device and program
JP2015031674A (en) Storage battery state monitoring apparatus and storage battery device
CN104181385A (en) Power detection method and power detection apparatus of air conditioner
JP2014079138A (en) Monitor system and monitor apparatus for distribution system
CN107703405A (en) A kind of water purifier power failure detection method
CN109613338A (en) A kind of low-voltage customer circuit resistance estimation method based on linear model
CN103076573A (en) Power supply capable of automatically monitoring service life and method for monitoring service life of power supply
CN106644148A (en) Temperature detecting method, device and equipment
CN104504479A (en) Temperature/ economic growth factor considered monthly total electricity consumption predication method
CN104062025A (en) Energy-saving automatic AD temperature collecting monitoring system
CN102081143A (en) Estimation method and system of battery capacity
WO2020042710A1 (en) Method for enhancing accuracy of electric quantity measurement
WO2015087473A1 (en) Demand prediction device, energy conservation assisting system
US20110161021A1 (en) Dynamic load estimation of multiple branch circuits
CN203310908U (en) Electric energy detection device for air conditioner
CN105631762B (en) Electric quantity compensating method based on load curve
CN105004915A (en) Standby power calculating method for power consumption equipment
CN108876476B (en) A kind of electric switch event detecting method and system
CN109374686B (en) Gas sensor
WO2016136391A1 (en) Fault point locating device and method, electric power system monitoring system, and facility planning support system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant