CN108256075A - A kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data - Google Patents
A kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data Download PDFInfo
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Abstract
A kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data, it is realized using data acquisition module, data preprocessing module, data communication module, event checking module and load marking identification module to user power utilization data monitoring and analysis, data acquisition module is responsible for being acquired user power utilization data, and data preprocessing module through data communication module passes through 5G network transmissions to cloud service platform after input signal is pre-processed；The data received are analyzed and are preserved by event checking module by cloud service platform；Load marking identification module analyzes the electric load marking for the electricity consumption user that event checking module preserves, and establishes model, and the source of each imprinting signature sample is picked out by the method for machine learning, final to realize to user power utilization data monitoring and analysis.The energy flows mutually the present invention between power consumer and power grid enterprises in order to control, provides effective technology support.Based on above-mentioned, so the application prospect that the present invention has had.
Description
Technical field
The present invention relates to electric power applied technical fields, particularly a kind of to analyze user power utilization based on non-intrusion type intellectual monitoring
The technology of data.
Background technology
The development of energy internet and the propulsion of power market reform make interaction and its electricity of power consumer and power grid enterprises
The demand that power user participates in electricity market is continuously improved.It is to understand user power utilization row that power grid enterprises, which obtain the detailed electricity consumption data of user,
For with the basis readjusted the energy structure, even more power consumer demand, such as power consumer they photovoltaic generating system is housed
And energy storage device, while Ye You cities are electrically accessed, and when photovoltaic power generation quantity is more than load electricity consumption, can remaining electricity be stored into energy storage
Device and power grid is sold to, when photovoltaic power generation quantity is less than load electricity consumption, electricity can be taken from power grid, when Peak power use and luminous energy
When insufficient, electricity can be taken from energy storage device, achieve the effect that peak load shifting, generally speaking, exactly control the energy in power consumer
It is flowed mutually between power grid enterprises, under the premise of user load side power requirement is met, science, environmental protection management electricity consumption are real
The two-way flow of existing energy and peer switch.To achieve these goals, intelligent power analysis is to realize the pass of energy internet
Key；However, in currently known technology, power consumer electric load consumption information details can be effectively provided without a kind of, thus
It can not be embodied as the adjustment of dynamic at any time of energy demand and supply between power consumer and power grid enterprises and technical support is provided；Together
When, mostly it is at present intrusive to the monitoring means of power consumer electricity consumption, is all carried out individually for every type load in system
Monitoring, this monitoring mode need a large amount of hardware device, can all expend great amount of cost when purchasing, installing, safeguard.And because
Each detection device is a data source, and the installation of the sensor with digital communication, debugging and maintenance costs are larger, and
Sensor can excessively reduce monitoring system and the reliability of electrical appliance.Based on above-mentioned, provide and a kind of intelligently supervised based on non-intrusion type
Surveying the technology of analysis user power utilization data seems particularly necessary.
Invention content
In order to overcome the prior art, power consumer electric load consumption information details can be effectively provided without a kind of, it can not
To realize the drawbacks of energy demand and supply dynamic adjustment at any time provide technical support between power consumer and power grid enterprises, this hair
It is bright to use the detailed electricity consumption data based on non-intruding monitor power consumer electric load, data source is reduced, cost is reduced, improves
Install convenient, in order to control the energy flowed mutually between power consumer and power grid enterprises, meet the electricity consumption of user load side will
Under the premise of asking, science, environmental protection management electricity consumption, realize energy two-way flow and peer switch mesh provide technical support
A kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data.
The technical solution adopted by the present invention to solve the technical problems is：
A kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data, it is characterised in that acquired using data
Module, data preprocessing module, data communication module, event checking module and load marking identification module are realized to user power utilization
Data monitoring and analysis, data acquisition module is responsible for being acquired user power utilization data, and data after acquisition are transferred to number
Data preprocess module；Data preprocessing module through data communication module passes through 5G network transmissions after input signal is pre-processed
To cloud service platform；The data received are analyzed and are preserved by event checking module by cloud service platform；The load marking
Identification module analyzes the electric load marking for the electricity consumption user that event checking module preserves, and establishes model, is used from electricity consumption
The imprinting signature of each electrical equipment is extracted in the electrical load total amount information of family, each print is picked out by the method for machine learning
Remember the source of feature samples, it is final to realize to user power utilization data monitoring and analysis.
The voltage and current of user power utilization is believed first with potential and current transformers during the data acquisition module work
The weak voltage signal of simulation number is converted to, data acquisition module signal input part is then input to, in actual use, since electricity consumption is set
The standby part throttle characteristics that can be showed is only limitted to the data information monitored, therefore, in order to which follow-up load marking identification module obtains
Desired power load imprinting signature is taken, data acquisition module can complete data after sampling with the analog-digital chip of itself
Weak voltage signal is simulated to the conversion of digitized signal and is output to data preprocessing module, in actual use, in user power utilization
It is each can source inlet be equipped with potential and current transformers, with obtain it is each can source inlet energy data, can source inlet packet
Include photovoltaic power generation quantity, the electric energy obtained from power grid, energy storage device storage electric energy.
During the data preprocessing module work, voltage, total electricity to the user power utilization load of data acquisition module input
Stream, general power pre-process, and ensure that successor is examined by the denoising to electric current and power signal and outlier correction, rejecting
Survey module
The reliability and accuracy of detection, for the reliability of work, electricity that data preprocessing module has using itself
Stream phasing function ensure that the voltage of input, total current, general power phase information are accurate.
The data communication module is arrived after input signal is pre-processed through data communication module by 5G network transmissions
During cloud service platform, in order to ensure the transmission integrity of data and validity, using TCP transmission agreement, C language and Python languages
Speech is to fetching transmission real time digital signal.
The event checking module is extracted corresponding load imprinting signature using incident Detection Algorithm in server side
It stores to Mongodb databases, by the disk array of server and the spark ecosystems, solves the big of load characteristic
The storage of scale data.
The load marking identification module divides the electric load marking for the electricity consumption user that event checking module preserves
Analysis, when establishing model, is identified load imprinting signature by unsupervised segmentation algorithm, most load imprinting signature and electricity at last
It in device name-matches, and stores to Mongodb databases, by the disk array of server and the spark ecosystems, solves
The storage of the large-scale data of load characteristic.
Present invention has the advantages that：The present invention is in data acquisition module, data preprocessing module, data communication module and thing
Cloud service platform has been built before part detection module, load marking identification module, has realized user power utilization load electric power big data
Storage and processing explore the online electricity consumption behavior of user according to magnanimity online data, by disk array and the spark ecosystems,
Solve the storage of the large-scale data of load characteristic, realize the efficient of data, handle in real time, it is quick to analyze, for can source interconnection and
Solid foundation has been laid in user's interaction.By the above, the present invention can carry out can source interconnection management, such as one family they fill
There are photovoltaic generating system and energy storage device, while Ye You cities are electrically accessed, when photovoltaic power generation quantity is more than load electricity consumption, can incite somebody to action
Remaining electricity is stored into energy storage device and is sold to power grid；When photovoltaic power generation quantity is less than load electricity consumption, electricity can be taken from power grid；Work as height
When peak electricity consumption and luminous energy deficiency, electricity can be taken from energy storage device, achieve the effect that peak load shifting.Generally speaking, it exactly controls
The mutual flowing of the energy, under the premise of user load side power requirement is met, science, environmental protection management electricity consumption realize that energy is double
Energy peer switch and shared network to flowing.The present invention is using based on the detailed of non-intruding monitor power consumer electric load
Thin electricity consumption data reduces data source, reduces cost, improves install convenient, and the energy is in power consumer and electricity in order to control
It is flowed mutually between net enterprise, under the premise of user load side power requirement is met, energy is realized in science, environmental protection management electricity consumption
Provide to the two-way flow of amount and peer switch mesh effective technology support.Based on above-mentioned, so the application that the present invention has had
Prospect.
Description of the drawings
The present invention is described further below in conjunction with drawings and examples.
Attached drawing 1 is workflow block diagram of the present invention.
Specific embodiment
Shown in Fig. 1, a kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data is acquired using data
Module, data preprocessing module, data communication module, event checking module and load marking identification module are realized to user power utilization
Data monitoring and analysis, data acquisition module is responsible for being acquired user power utilization data, and data after acquisition are transferred to number
Data preprocess module；Data preprocessing module through data communication module passes through 5G network transmissions after input signal is pre-processed
To cloud service platform；The data received are analyzed and are preserved by event checking module by cloud service platform；The load marking
Identification module analyzes the electric load marking for the electricity consumption user that event checking module preserves, and establishes model, is used from electricity consumption
The imprinting signature of each electrical equipment is extracted in the electrical load total amount information of family, each print is picked out by the method for machine learning
Remember the source of feature samples, it is final to realize to user power utilization data monitoring and analysis.
Shown in Fig. 1, when data acquisition module works first with potential and current transformers by the voltage of user power utilization and
Current signal is converted to the weak voltage signal of simulation, data acquisition module signal input part is then input to, due to electrical equipment energy
The part throttle characteristics enough showed is only limitted to the data information monitored, therefore, in order to which follow-up load marking identification module obtains the phase
Data after sampling can be completed simulation by the power load imprinting signature of prestige, data acquisition module with the analog-digital chip of itself
Weak voltage signal to digitized signal conversion and be output to data preprocessing module, in actual use, in each of user power utilization
A energy source inlet is equipped with potential and current transformers, and to obtain the energy data of each energy source inlet, energy source inlet includes light
Lie prostrate generated energy, the electric energy stored from electric energy, the energy storage device of power grid acquisition.When data preprocessing module works, data are acquired
The voltage of the user power utilization load of module input, total current, general power pre-process, and pass through the denoising to electric current and power signal
With outlier correction, reject reliability and accuracy to ensure the detection of successor detection module, for the reliability of work,
The current phase correction function that data preprocessing module has using itself ensure that the voltage of input, total current, general power phase
Position information is accurate.Data communication module through data communication module passes through 5G network transmissions to cloud after input signal is pre-processed
During service platform, in order to ensure the transmission integrity of data and validity, using TCP transmission agreement, C language and Python
To fetching transmission real time digital signal.Event checking module utilizes incident Detection Algorithm by the corresponding load marking in server side
Feature extraction is out stored to Mongodb databases, by the disk array of server and the spark ecosystems, solves load
The storage of the large-scale data of feature.The electric load of electricity consumption user that load marking identification module preserves event checking module
The marking is analyzed, and when establishing model, load imprinting signature is identified by unsupervised segmentation algorithm, and most load prints at last
Note feature and appliance name match, and store to Mongodb databases, pass through disk array and the spark ecology of server
System solves the storage of the large-scale data of load characteristic.
Shown in Fig. 1, the power load of electricity consumption user that load marking identification module of the present invention preserves event checking module
The lotus marking is analyzed, and when establishing model, is related to influencing the characterization factor analysis of the load marking, including the various of resident load
The nuance of property, complexity and similar power load；In practical engineering application, it can find that multiple electricity consumptions are born automatically
The event of lotus, and analyze the behavior pattern that user participates in on-line marking label.In practical application, it is assumed that electricity consumption user each electrically sets
Standby all to leave oneself distinctive imprinting signature in total load electricity consumption curve or power modes, load marking identification module is from negative
The imprinting signature of each electrical equipment is extracted in charged gas total amount information, it is special to pick out each marking by the method for machine learning
The source of sample is levied, it is final to realize load decomposition and monitoring.
Shown in Fig. 1, in actual use, user only needs to install a sensor at distribution box of registering one's residence the present invention, leads to
The terminal voltage/or total current crossed at acquisition and analysis customer charge power supply main entrance can obtain (class) each inside total load electricity
Working condition, electric power and accumulative electricity, the run time of gas equipment are transmitted so that the electricity consumptions detailed information such as fault pre-alarming
To data acquisition module；In data acquisition module, data preprocessing module, data communication module and event checking module, load
Cloud service platform has been built before marking identification module, has realized the storage and processing of user power utilization load electric power big data, according to
Magnanimity online data explores the online electricity consumption behavior of user, by disk array and the spark ecosystems, solves the big of load characteristic
The efficient of data is realized in the storage of scale data, real-time to handle, quick to analyze, and heavily fortified point has been laid for energy source interconnection and user's interaction
Real basis.By the above, the present invention can carry out can source interconnection management, such as one family they equipped with photovoltaic generating system and
Energy storage device, while Ye You cities are electrically accessed, and when photovoltaic power generation quantity is more than load electricity consumption, remaining electricity can be stored into energy storage dress
Put and be sold to power grid；When photovoltaic power generation quantity is less than load electricity consumption, electricity can be taken from power grid；When Peak power use and luminous energy is not
When sufficient, electricity can be taken from energy storage device, achieve the effect that peak load shifting.Generally speaking, the mutual flowing of the energy is exactly controlled,
Under the premise of meeting user load side power requirement, science, environmental protection management electricity consumption realize that the energy equity of energy in bidirectional flow is handed over
It changes and shared network.The present invention uses the detailed electricity consumption data based on non-intruding monitor power consumer electric load, reduces
Data source reduces cost, improves install convenient, and the energy flows mutually between power consumer and power grid enterprises in order to control
Dynamic, under the premise of user load side power requirement is met, the two-way flow of energy and right is realized in science, environmental protection management electricity consumption
It is supported Deng effective technology is provided with exchanging mesh.Based on above-mentioned, so the application prospect that the present invention has had.
It is obvious to a person skilled in the art that the present invention is not limited to the details of above-mentioned exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Profit requirement rather than above description limit, it is intended that all by what is fallen within the meaning and scope of the equivalent requirements of the claims
Variation is included within the present invention.Any reference numeral in claim should not be considered as to the involved claim of limitation.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in each embodiment can also be properly combined, forms those skilled in the art
The other embodiment being appreciated that.
Claims (5)
1. a kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data, it is characterised in that using data acquisition module
Block, data preprocessing module, data communication module, event checking module and load marking identification module are realized to user power utilization number
According to monitoring and analysis, data acquisition module is responsible for being acquired user power utilization data, and data after acquisition are transferred to data
Preprocessing module；Data preprocessing module is arrived after input signal is pre-processed through data communication module by 5G network transmissions
Cloud service platform；The data received are analyzed and are preserved by event checking module by cloud service platform；The load marking is known
Other module analyzes the electric load marking for the electricity consumption user that event checking module preserves, and establishes model, from electricity consumption user
The imprinting signature of each electrical equipment is extracted in electrical load total amount information, each marking is picked out by the method for machine learning
The source of feature samples, it is final to realize to user power utilization data monitoring and analysis.
2. a kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data according to claim 1, special
Sign is to convert the voltage and current signal of user power utilization first with potential and current transformers during data acquisition module work
To simulate weak voltage signal, data acquisition module signal input part is then input to, in actual use, since electrical equipment can
The part throttle characteristics showed is only limitted to the data information monitored, therefore, it is expected in order to which follow-up load marking identification module obtains
Power load imprinting signature, data after sampling it is weak to complete simulation by data acquisition module with the analog-digital chip of itself
Voltage signal to digitized signal conversion and be output to data preprocessing module, in actual use, in each of user power utilization
Energy source inlet is equipped with potential and current transformers, and to obtain the energy data of each energy source inlet, energy source inlet includes photovoltaic
Generated energy, the electric energy stored from electric energy, the energy storage device of power grid acquisition.
3. a kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data according to claim 1, special
When sign is data preprocessing module work, to voltage, total current, the total work of the user power utilization load of data acquisition module input
Rate pre-processes, and ensures successor detection module by the denoising to electric current and power signal and outlier correction, rejecting
The reliability and accuracy of detection, for the reliability of work, current phase school that data preprocessing module has using itself
Orthofunction ensure that the voltage of input, total current, general power phase information are accurate.
4. a kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data according to claim 1, special
Sign is that data communication module through data communication module passes through 5G network transmissions to cloud service after input signal is pre-processed
During platform, in order to ensure the transmission integrity of data and validity, using TCP transmission agreement, C language and Python docking
To transmit real time digital signal.
5. a kind of technology based on non-intrusion type intellectual monitoring analysis user power utilization data according to claim 1, special
Sign is that corresponding load imprinting signature is extracted storage by event checking module in server side using incident Detection Algorithm
To Mongodb databases, by the disk array of server and the spark ecosystems, solves the extensive number of load characteristic
According to storage.
The load marking identification module analyzes the electric load marking for the electricity consumption user that event checking module preserves, and builds
During formwork erection type, load imprinting signature is identified by unsupervised segmentation algorithm, most load imprinting signature and electric appliance name at last
Title matches, and stores to Mongodb databases, by the disk array of server and the spark ecosystems, solves load
The storage of the large-scale data of feature.
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109116157A (en) * | 2018-09-19 | 2019-01-01 | 广东卓维网络有限公司 | A kind of non-intrusion type frequency conversion equipment state change event monitoring system and method |
| CN109449919A (en) * | 2018-09-27 | 2019-03-08 | 中国电力科学研究院有限公司 | A kind of non-intrusion type analysis of power consumption load method and device |
| CN110008626A (en) * | 2019-04-16 | 2019-07-12 | 电子科技大学 | A kind of short term power energy consumption prediction technique based on Spark |
| CN110174546A (en) * | 2019-05-23 | 2019-08-27 | 南京奥联新能源有限公司 | A kind of non-invasive powerline acquisition device |
| CN111126780A (en) * | 2019-10-31 | 2020-05-08 | 内蒙古电力(集团)有限责任公司包头供电局 | Non-invasive load monitoring method and storage medium |
| CN111427286A (en) * | 2020-01-03 | 2020-07-17 | 南昌航空大学 | Intelligent remote electric energy monitoring system and monitoring method based on 5G communication |
| CN111550915A (en) * | 2020-05-14 | 2020-08-18 | 郑瀚韬 | Air conditioner intelligent control system based on non-invasive measurement |
| 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 |
| CN112286063A (en) * | 2020-09-30 | 2021-01-29 | 国网天津市电力公司 | Non-intrusive measurement-based regional energy consumption monitoring system and method |
| CN112380399A (en) * | 2020-11-18 | 2021-02-19 | 上海科技网络通信有限公司 | Cloud platform-based power consumption big data processing system and processing method thereof |
| CN112383143A (en) * | 2020-10-29 | 2021-02-19 | 国网河南省电力公司郑州供电公司 | Power consumer power monitoring device and power load identification method |
| CN112418477A (en) * | 2020-06-23 | 2021-02-26 | 深圳职业技术学院 | Regional energy center-based resident energy consumption dual-objective optimization method |
| CN112488876A (en) * | 2020-12-11 | 2021-03-12 | 四川川能智网实业有限公司 | Multi-level big data acquisition and electric power analysis system |
| CN112650788A (en) * | 2020-12-25 | 2021-04-13 | 青岛鼎信通讯股份有限公司 | Power consumption behavior monitoring system based on non-invasive ammeter |
| CN113050486A (en) * | 2021-03-12 | 2021-06-29 | 南京工程学院 | Electric power system edge calculation and data distribution device based on industrial personal computer |
| CN113514717A (en) * | 2021-04-22 | 2021-10-19 | 微企（天津）信息技术有限公司 | Non-invasive power load monitoring system |
| CN116660621A (en) * | 2023-07-27 | 2023-08-29 | 江西琰圭技术服务有限公司 | Electricity larceny prevention intelligent management system for local sampling analysis |
| CN116896064A (en) * | 2023-05-31 | 2023-10-17 | 江苏易立电气股份有限公司 | Power utilization characteristic analysis system and method for power utilization load |
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