CN108828358A - Non-intrusion type power consumer electric appliance energy consumption decomposition method and its system - Google Patents
Non-intrusion type power consumer electric appliance energy consumption decomposition method and its system Download PDFInfo
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- CN108828358A CN108828358A CN201810621149.XA CN201810621149A CN108828358A CN 108828358 A CN108828358 A CN 108828358A CN 201810621149 A CN201810621149 A CN 201810621149A CN 108828358 A CN108828358 A CN 108828358A
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/16—Spectrum analysis; Fourier analysis
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Abstract
The present invention relates to non-intrusion type power consumer electric appliance energy consumption decomposition method and its systems；Wherein, energy consumption decomposition method includes the following steps；S1 acquires the voltage of user power utilization inlet, the electric characteristic amount for electric current of registering one's residence；S2 calculates the diligent power registered one's residence, reactive power, and carries out FFT calculating to voltage, current signal, obtains spectrum information, calculates harmonic content；Obtained voltage, electric current, active power, reactive power and harmonic content data are sent to cloud plus timestamp, and stored in database beyond the clouds by S3；S4 handles the data in database, the situation of change of analysis synthesis electric characteristic data；S5 knows the active power and total operation duration at corresponding electric appliance each time point, the energy consumption of electric appliance is calculated.User of the present invention can pay close attention to the real time energy consumption situation of user equipment in real time；The energy consumption analysis to specific electric appliance is realized, user is helped to formulate reasonable electricity consumption plan, using electricity wisely.
Description
Technical field
The present invention relates to consumer electronics energy consumptions to decompose field, more specifically refers to non-intrusion type power consumer electric appliance energy consumption
Decomposition method and its system.
Background technique
For at present, it is the core of interactive service system that system energy consumption decomposition, which is one of important link of distribution network system,
The heart.System energy consumption decomposition refers to by the collected various parameters of system monitoring, to monitor and analyze the operation of power load
State, and be monitored by the energy consumption to each electric appliance, reduce the electric cost of user and slow down the use of electric system
Electric load pressure；Load monitoring is as one of most important component part of AMI, it is necessary to solve current automatic read of ammeter intelligence and use
Electric total amount, and user's internal load ingredient cannot be analysed in depth, obtain the details of each power load of user.
Prior art be by the place of each electrical equipment install additional monitoring device, to each electrical equipment into
Row real-time monitoring will monitor that the parameters such as voltage, electric current are uploaded to monitoring host computer and carry out corresponding energy consumption decomposition, determine that user uses
The spinous process energy consumption of electric load；The gold of telephone expenses a large amount of time is needed in terms of installation and maintenance using this monitoring method
Money, while being also difficult to meet the needs of continuing to develop now.
Currently also there is the intelligent socket with energy consumption analysis that the electric energy loss analysis for single electric appliance may be implemented, electricity consumption is set
Standby to obtain electric energy by connection intelligent socket, the measurement module in intelligent socket accurately carries out the electric energy for flowing to electric appliance
Record, and data are communicatively sent to cloud, it realizes the energy consumption monitoring for being accurate to electric appliance rank, but is asked there are following
Topic：Intelligent socket with energy consumption analysis function, disadvantage is that individually hardware has extra cost, and intelligent socket is linked into use
In the circuit of electric equipment, need to carry out power operation to electrical equipment during installation.
Summary of the invention
It is an object of the invention to overcome the deficiencies of existing technologies, non-intrusion type power consumer electric appliance energy consumption decomposition side is provided
Method and its system.
To achieve the above object, the present invention uses following technical scheme：
Non-intrusion type power consumer electric appliance energy consumption decomposition method, includes the following steps；
S1 acquires the voltage of user power utilization inlet, the electric characteristic amount for electric current of registering one's residence；
S2 calculates the diligent power registered one's residence, reactive power, and carries out FFT calculating to voltage, current signal, obtains frequency spectrum
Information calculates harmonic content；
Obtained voltage, electric current, active power, reactive power and harmonic content data are sent to by S3 plus timestamp
Cloud, and store in database beyond the clouds；
S4 handles the data in database, and the situation of change of analysis synthesis electric characteristic data, decomposition obtains list
The electric characteristic variable quantity that one electric appliance event causes, is closed electric appliance event and specific household electrical appliance by alignment similarity
Connection；
S5 knows the active power and total operation duration at corresponding electric appliance each time point, the energy consumption feelings of electric appliance is calculated
Condition.
Its further technical solution is：Further include before the S1：It registers one's residence in power distribution network and holds installation acquisition sensor.
Its further technical solution is：In the S4, processing is carried out using non-intrusion type load to the data in database
Monitoring algorithm.
Its further technical solution is：The S4 further includes：The electric current, voltage and power for extracting various electrical equipments are related
The signature waveform figure of parameter compares in conjunction with the electrical fingerprint base for the various electrical equipments that cloud database stores and analyzes each electricity consumption
The load characteristic of equipment.
Its further technical solution is：The S5 further includes：Analyze the type and each period for determining electrical equipment
Carrying out practically state, and calculate the energy consumption statistics of each electrical equipment in monitoring time.
Its further technical solution is：Further include after the S5：The consumption information of user class is resolved into electric appliance grade
Consumption information.
Non-intrusion type power consumer electric appliance energy consumption decomposing system, including acquisition unit, computing unit, transmission unit, analysis
Processing unit and statistic unit；
The acquisition unit, for acquiring the electric characteristic amount of the voltage of user power utilization inlet, electric current of registering one's residence；
Shown computing unit carries out FFT for calculating the diligent power registered one's residence, reactive power, and to voltage, current signal
It calculates, obtains spectrum information, calculate harmonic content；
The transmission unit, for adding obtained voltage, electric current, active power, reactive power and harmonic content data
Upper timestamp is sent to cloud, and stores in database beyond the clouds；
The analysis and processing unit, for handling the data in database, analysis synthesis electric characteristic data
Situation of change decomposes and obtains the electric characteristic variable quantity that single electric appliance event causes, by alignment similarity by electric appliance event with
Specific household electrical appliance are associated；
The statistic unit is calculated for knowing the active power and total operation duration at corresponding electric appliance each time point
To the energy consumption of electric appliance.
Its further technical solution is：The analysis and processing unit includes extraction module and comparison module；
The extraction module, for extracting the electric currents of various electrical equipments, voltage and the signature waveform of power-related parameter
Figure；
The comparison module, the electrical fingerprint base of the various electrical equipments for combining cloud database storage, compares and divides
Analyse the load characteristic of each electrical equipment.
Its further technical solution is：The statistic unit includes analysis determining module and calculating monitoring modular；
The analysis determining module, for analyzing the type of determining electrical equipment and the carrying out practically shape of each period
State；
The calculating monitoring modular, the energy consumption for calculating each electrical equipment in monitoring time count.
Its further technical solution is：It further include decomposition unit；
The decomposition unit, for the consumption information of user class to be resolved into the consumption information of electric appliance grade.
Compared with the prior art, the invention has the advantages that：By using the method for non-intrusion type, one family user
Only set of device need to be installed the energy consumption monitoring of different electrical equipments can be completed, reduce the input cost of hardware, while non-invaded
Enter formula method and do not need intervention electrical equipment circuit, the installation of equipment can be completed in case of constant power, it is more convenient fast
It is prompt；The energy consumption, which is decomposed, carries out power load monitoring to user power utilization equipment, and by wireless communication mode, and monitoring information is real-time
It is uploaded to cloud database to be handled, database, user can pay close attention in real time beyond the clouds for the result information permanent storage of processing
The real time energy consumption situation of user equipment；The energy consumption decomposes the monitoring data based on user power utilization equipment, can analyze out user's
Consumption habit, equipment energy consumption situation, and the information being collected into is fed back into user, user can take targetedly energy conservation to arrange
It applies, in conjunction with the power information of other users, more detailed electrical equipment energy consumption report can be provided the user with, facilitate reality
Now to the energy consumption analysis of specific electric appliance, user is helped to formulate reasonable electricity consumption plan, using electricity wisely.
The invention will be further described in the following with reference to the drawings and specific embodiments.
Detailed description of the invention
Fig. 1 is the flow chart of non-intrusion type power consumer electric appliance energy consumption decomposition method of the present invention；
Fig. 2 is the block diagram of non-intrusion type power consumer electric appliance energy consumption decomposing system of the present invention.
10 acquisition unit, 20 computing unit
30 transmission unit, 40 analysis and processing unit
41 extraction module, 42 comparison module
50 statistic units 51 analyze determining module
52 calculate 60 decomposition unit of monitoring modular
Specific embodiment
In order to more fully understand technology contents of the invention, combined with specific embodiments below to technical solution of the present invention into
One step introduction and explanation, but not limited to this.
Such as Fig. 1 to specific embodiment shown in Fig. 2, wherein as shown in Figure 1, the invention discloses non-intrusion type electric power use
Family electric appliance energy consumption decomposition method, includes the following steps；
S1 acquires the voltage of user power utilization inlet, the electric characteristic amount for electric current of registering one's residence；
S2 calculates the diligent power registered one's residence, reactive power, and carries out FFT calculating to voltage, current signal, obtains frequency spectrum
Information calculates harmonic content；
Obtained voltage, electric current, active power, reactive power and harmonic content data are sent to by S3 plus timestamp
Cloud, and store in database beyond the clouds；
S4 handles the data in database, and the situation of change of analysis synthesis electric characteristic data, decomposition obtains list
The electric characteristic variable quantity that one electric appliance event causes, is closed electric appliance event and specific household electrical appliance by alignment similarity
Connection；
S5 knows the active power and total operation duration at corresponding electric appliance each time point, the energy consumption feelings of electric appliance is calculated
Condition.
Wherein, by carrying out power load monitoring to user power utilization equipment, and by wireless communication mode, by monitoring information
It is uploaded to cloud database in real time to be handled, database, user can be real-time beyond the clouds for the result information permanent storage of processing
Pay close attention to the real time energy consumption situation of user equipment.
Wherein, further include before S1：It registers one's residence in power distribution network and holds installation acquisition sensor；One family user only needs to install
The energy consumption monitoring of different electrical equipments can be completed in set of device, reduces the input cost of hardware, while non-invasive methods
Intervention electrical equipment circuit is not needed, the installation of equipment can be completed in case of constant power, it is more convenient.
Wherein, in S4, processing is carried out using non-intrusion type load monitoring algorithm to the data in database.
Wherein, S4 further includes：The signature waveform figure of the electric currents of various electrical equipments, voltage and power-related parameter is extracted,
In conjunction with the electrical fingerprint base for the various electrical equipments that cloud database stores, the load characteristic for analyzing each electrical equipment is compared.
Wherein, S5 further includes：The type and the carrying out practically state of each period for determining electrical equipment are analyzed, and is calculated
The energy consumption of each electrical equipment counts in monitoring time out.
Wherein, further include after S5：The consumption information of user class is resolved into the consumption information of electric appliance grade.
Wherein, the energy consumption that the present invention realizes electric appliance rank is decomposed, and more detailed electrical equipment energy can be provided the user with
Situation report is consumed, the energy consumption analysis realized to specific electric appliance is facilitated, user is helped to formulate reasonable electricity consumption plan, using electricity wisely.
The principle of the present invention is as follows：Monitoring device, the electricity such as collection voltages, electric current are installed in the inlet of user's electric wiring
The core datas such as tolerance and timestamp collect data unlike original technology and are directly uploaded by wireless communication mode
To cloud database, mitigate the memory burden that front end monitoring device directly handles data, is carried out the data of upload by cloud
Detailed resolution process extracts the signature waveform figure of the relevant parameters such as the electric current, voltage, power of various electrical equipments, in conjunction with cloud
The system electrical fingerprint base of the various electrical equipments of database purchase compares the load characteristic for analyzing each electrical equipment, determines and uses
The type of electric equipment and the carrying out practically state of each period, and calculate the energy consumption system of each electrical equipment in monitoring time
Meter.
The power consumer electric appliance energy consumption decomposition of non-intrusion type of the invention is a kind of use non-intrusion type load monitoring method,
Realize that, to obtain the novel method of each single electric appliance energy consumption condition, this method can be not to different electric appliance behavior monitorings
In the case where intervening original circuit topology, the electricity consumption for completing to be accurate to electric appliance grade is decomposed, and provides power information for user
Detailed list.
Specifically, as shown in Fig. 2, the invention also discloses non-intrusion type power consumer electric appliance energy consumption decomposing systems, including
Acquisition unit 10, computing unit 20, transmission unit 30, analysis and processing unit 40 and statistic unit 50；
Acquisition unit 10, for acquiring the electric characteristic amount of the voltage of user power utilization inlet, electric current of registering one's residence；
Computing unit 20 carries out FFT meter for calculating the diligent power registered one's residence, reactive power, and to voltage, current signal
It calculates, obtains spectrum information, calculate harmonic content；
Transmission unit 30, for adding obtained voltage, electric current, active power, reactive power and harmonic content data
Timestamp is sent to cloud, and stores in database beyond the clouds；
Analysis and processing unit 40, for handling the data in database, the change of analysis synthesis electric characteristic data
Change situation, decompose and obtain the electric characteristic variable quantity that single electric appliance event causes, by alignment similarity by electric appliance event and special
Fixed household electrical appliance are associated；
Statistic unit 50 is calculated for knowing the active power and total operation duration at corresponding electric appliance each time point
The energy consumption of electric appliance.
Wherein, analysis and processing unit 40 includes extraction module 41 and comparison module 42；
Extraction module 41, for extracting the electric currents of various electrical equipments, voltage and the signature waveform figure of power-related parameter；
Comparison module 42, the electrical fingerprint base of the various electrical equipments for combining cloud database storage, compares analysis
The load characteristic of each electrical equipment.
Wherein, statistic unit 50 includes analysis determining module 51 and calculating monitoring modular 52；
Determining module 51 is analyzed, for analyzing the type of determining electrical equipment and the carrying out practically state of each period；
Monitoring modular 52 is calculated, the energy consumption for calculating each electrical equipment in monitoring time counts.
Wherein, which further includes decomposition unit 60；
Decomposition unit 60, for the consumption information of user class to be resolved into the consumption information of electric appliance grade.
The present invention using " local acquisition --- Internet of Things communication --- cloud identification/analysis/alarm etc. " form, by will be whole
Local and cloud two sides are decomposed and be deployed to a operation flow, and is connected by the way of Internet of Things communication, solves data acquisition
Real-time and related operation complexity contradictory problems, in the present embodiment, acquisition unit 10, computing unit 20, and hair
Unit 30 is sent to be located locally detector；Analysis and processing unit 40, statistic unit 50 and decomposition unit 60 are located at cloud.
Energy consumption decomposing system of the invention carries out power load monitoring to user power utilization equipment, and passes through wireless telecommunications side
Monitoring information is uploaded to cloud platform database in real time and handled by formula, and the result information permanent storage of processing is in cloud platform number
According to library, user can pay close attention to the real time energy consumption situation of user equipment in real time.
Energy consumption decomposing system of the invention can analyze the electricity consumption of place user based on the monitoring data of user power utilization equipment
Habit, equipment energy consumption situation, and the information being collected into is fed back into user, user can take targetedly energy conservation measure,
In conjunction with the power information of other users, effective energy-efficient suggestion can be provided for user, reduce the electric cost of user.
It is above-mentioned that technology contents of the invention are only further illustrated with embodiment, in order to which reader is easier to understand, but not
It represents embodiments of the present invention and is only limitted to this, any technology done according to the present invention extends or recreation, by of the invention
Protection.Protection scope of the present invention is subject to claims.
Claims (10)
1. non-intrusion type power consumer electric appliance energy consumption decomposition method, which is characterized in that include the following steps；
S1 acquires the voltage of user power utilization inlet, the electric characteristic amount for electric current of registering one's residence；
S2 calculates the diligent power registered one's residence, reactive power, and carries out FFT calculating to voltage, current signal, obtains spectrum information,
Calculate harmonic content；
Obtained voltage, electric current, active power, reactive power and harmonic content data are sent to cloud plus timestamp by S3,
And in the database of storage beyond the clouds；
S4 handles the data in database, and the situation of change of analysis synthesis electric characteristic data, decomposition obtains single electricity
Electric appliance event and specific household electrical appliance, are associated by the electric characteristic variable quantity that device event causes by alignment similarity；
S5 knows the active power and total operation duration at corresponding electric appliance each time point, the energy consumption of electric appliance is calculated.
2. non-intrusion type power consumer electric appliance energy consumption decomposition method according to claim 1, which is characterized in that the S1 it
Before further include：It registers one's residence in power distribution network and holds installation acquisition sensor.
3. non-intrusion type power consumer electric appliance energy consumption decomposition method according to claim 1, which is characterized in that the S4
In, processing is carried out using non-intrusion type load monitoring algorithm to the data in database.
4. non-intrusion type power consumer electric appliance energy consumption decomposition method according to claim 1, which is characterized in that the S4 is also
Including：The signature waveform figure for extracting the electric currents of various electrical equipments, voltage and power-related parameter is stored in conjunction with cloud database
Various electrical equipments electrical fingerprint base, compare the load characteristic for analyzing each electrical equipment.
5. non-intrusion type power consumer electric appliance energy consumption decomposition method according to claim 1, which is characterized in that the S5 is also
Including：The type and the carrying out practically state of each period for determining electrical equipment are analyzed, and is calculated each in monitoring time
The energy consumption of electrical equipment counts.
6. non-intrusion type power consumer electric appliance energy consumption decomposition method according to claim 1, which is characterized in that the S5 it
After further include：The consumption information of user class is resolved into the consumption information of electric appliance grade.
7. non-intrusion type power consumer electric appliance energy consumption decomposing system, which is characterized in that including acquisition unit, computing unit is sent
Unit, analysis and processing unit and statistic unit；
The acquisition unit, for acquiring the electric characteristic amount of the voltage of user power utilization inlet, electric current of registering one's residence；
Shown computing unit carries out FFT meter for calculating the diligent power registered one's residence, reactive power, and to voltage, current signal
It calculates, obtains spectrum information, calculate harmonic content；
The transmission unit, when for adding obtained voltage, electric current, active power, reactive power and harmonic content data
Between stamp be sent to cloud, and store in database beyond the clouds；
The analysis and processing unit, for handling the data in database, the variation of analysis synthesis electric characteristic data
Situation decomposes and obtains the electric characteristic variable quantity that single electric appliance event causes, by alignment similarity by electric appliance event with it is specific
Household electrical appliance be associated；
Electricity is calculated for knowing the active power and total operation duration at corresponding electric appliance each time point in the statistic unit
The energy consumption of device.
8. non-intrusion type power consumer electric appliance energy consumption decomposing system according to claim 7, which is characterized in that the analysis
Processing unit includes extraction module and comparison module；
The extraction module, for extracting the electric currents of various electrical equipments, voltage and the signature waveform figure of power-related parameter；
The comparison module, the electrical fingerprint base of the various electrical equipments for combining cloud database storage, it is each to compare analysis
The load characteristic of electrical equipment.
9. non-intrusion type power consumer electric appliance energy consumption decomposing system according to claim 7, which is characterized in that the statistics
Unit includes analysis determining module and calculating monitoring modular；
The analysis determining module, for analyzing the type of determining electrical equipment and the carrying out practically state of each period；
The calculating monitoring modular, the energy consumption for calculating each electrical equipment in monitoring time count.
10. non-intrusion type power consumer electric appliance energy consumption decomposing system according to claim 7, which is characterized in that further include
Decomposition unit；
The decomposition unit, for the consumption information of user class to be resolved into the consumption information of electric appliance grade.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615558A (en) * | 2018-12-11 | 2019-04-12 | 国网辽宁省电力有限公司鞍山供电公司 | An analysis method of users' electricity consumption habits based on big data statistics of electricity consumption parameters |
| CN109633282A (en) * | 2018-12-17 | 2019-04-16 | 七彩安科智慧科技有限公司 | A kind of construction method of edge cloud electric power monitoring Internet of Things |
| CN110979079A (en) * | 2019-12-17 | 2020-04-10 | 深圳华建电力物联技术有限公司 | Method and device for positioning electric vehicle to tail end |
| CN111751614A (en) * | 2020-06-29 | 2020-10-09 | 深圳供电局有限公司 | A ModBus-based non-intrusive power consumption data testing system and method |
| CN111830320A (en) * | 2020-06-05 | 2020-10-27 | 安徽中迅徽软科技有限公司 | Non-invasive energy consumption monitoring system and method based on deep learning |
| CN112966215A (en) * | 2021-02-01 | 2021-06-15 | 杭州博联智能科技股份有限公司 | Energy consumption estimation method and system |
| CN113341262A (en) * | 2021-07-13 | 2021-09-03 | 国网江苏省电力有限公司营销服务中心 | Platformization load data acquisition device |
| CN113702860A (en) * | 2021-08-20 | 2021-11-26 | 北京空间飞行器总体设计部 | Oscilloscope waveform data analysis method for spacecraft power supply system evaluation |
| CN114829953A (en) * | 2019-12-24 | 2022-07-29 | 三菱电机株式会社 | Device state determination system, electricity meter, and device state determination method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104765841A (en) * | 2015-04-16 | 2015-07-08 | 武汉阿帕科技有限公司 | Load decomposition method and system |
| CN105186693A (en) * | 2015-09-28 | 2015-12-23 | 南方电网科学研究院有限责任公司 | Non-invasive electrical load identification system and method |
| CN106093630A (en) * | 2016-06-02 | 2016-11-09 | 华北电力大学 | A non-intrusive household appliance identification method |
| FR3036184A1 (en) * | 2015-05-11 | 2016-11-18 | Univ D'artois | METHOD FOR EVALUATING A TEMPERATURE |
| CN107796972A (en) * | 2017-09-25 | 2018-03-13 | 广东中粤售电科技有限公司 | A kind of silo energy-consumption monitoring method based on non-intrusion type load decomposition technology |
-
2018
- 2018-06-15 CN CN201810621149.XA patent/CN108828358A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104765841A (en) * | 2015-04-16 | 2015-07-08 | 武汉阿帕科技有限公司 | Load decomposition method and system |
| FR3036184A1 (en) * | 2015-05-11 | 2016-11-18 | Univ D'artois | METHOD FOR EVALUATING A TEMPERATURE |
| CN105186693A (en) * | 2015-09-28 | 2015-12-23 | 南方电网科学研究院有限责任公司 | Non-invasive electrical load identification system and method |
| CN106093630A (en) * | 2016-06-02 | 2016-11-09 | 华北电力大学 | A non-intrusive household appliance identification method |
| CN107796972A (en) * | 2017-09-25 | 2018-03-13 | 广东中粤售电科技有限公司 | A kind of silo energy-consumption monitoring method based on non-intrusion type load decomposition technology |
Non-Patent Citations (1)
| Title |
|---|
| 程媛: "家用电器负荷在线参数辨识方法的研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615558A (en) * | 2018-12-11 | 2019-04-12 | 国网辽宁省电力有限公司鞍山供电公司 | An analysis method of users' electricity consumption habits based on big data statistics of electricity consumption parameters |
| CN109615558B (en) * | 2018-12-11 | 2023-08-15 | 国网辽宁省电力有限公司鞍山供电公司 | User electricity habit analysis method based on electricity parameter big data statistics |
| CN109633282A (en) * | 2018-12-17 | 2019-04-16 | 七彩安科智慧科技有限公司 | A kind of construction method of edge cloud electric power monitoring Internet of Things |
| CN109633282B (en) * | 2018-12-17 | 2021-04-16 | 七彩安科智慧科技有限公司 | Construction method of edge cloud power monitoring Internet of things |
| CN110979079A (en) * | 2019-12-17 | 2020-04-10 | 深圳华建电力物联技术有限公司 | Method and device for positioning electric vehicle to tail end |
| CN114829953A (en) * | 2019-12-24 | 2022-07-29 | 三菱电机株式会社 | Device state determination system, electricity meter, and device state determination method |
| CN111830320A (en) * | 2020-06-05 | 2020-10-27 | 安徽中迅徽软科技有限公司 | Non-invasive energy consumption monitoring system and method based on deep learning |
| CN111751614A (en) * | 2020-06-29 | 2020-10-09 | 深圳供电局有限公司 | A ModBus-based non-intrusive power consumption data testing system and method |
| CN111751614B (en) * | 2020-06-29 | 2023-08-04 | 深圳供电局有限公司 | ModBus-based non-invasive electricity consumption data testing system and method thereof |
| CN112966215A (en) * | 2021-02-01 | 2021-06-15 | 杭州博联智能科技股份有限公司 | Energy consumption estimation method and system |
| CN113341262A (en) * | 2021-07-13 | 2021-09-03 | 国网江苏省电力有限公司营销服务中心 | Platformization load data acquisition device |
| CN113702860A (en) * | 2021-08-20 | 2021-11-26 | 北京空间飞行器总体设计部 | Oscilloscope waveform data analysis method for spacecraft power supply system evaluation |
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Application publication date: 20181116 |
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