CN108828406A - The fault recognition method and its system of non-intrusion type user power utilization - Google Patents
The fault recognition method and its system of non-intrusion type user power utilization Download PDFInfo
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- CN108828406A CN108828406A CN201810628191.4A CN201810628191A CN108828406A CN 108828406 A CN108828406 A CN 108828406A CN 201810628191 A CN201810628191 A CN 201810628191A CN 108828406 A CN108828406 A CN 108828406A
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- power utilization
- electric
- user power
- fault
- electrical equipment
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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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
Abstract
The present invention relates to the fault recognition method of non-intrusion type user power utilization and its systems；Wherein, the fault recognition method of non-intrusion type user power utilization, includes the following steps；S1 is acquired the data of the voltage of user power utilization inlet, electric current and leakage current；The data of acquisition are sent to cloud plus timestamp, and stored in database beyond the clouds by S2；S3 analyzes the data in database, and identification obtains the electrical equipment behavior sequence of user, while monitoring principal current, the situation of change of leakage current；S4, by event analysis, abnormal conditions and electric appliance event is associated when monitoring that a certain electric characteristic amount occurs abnormal, differentiates the appliance type for causing electric fault.The present invention does not need power-off that equipment can be completed and installs by measuring register one's residence total current and voltage monitoring electricity consumption situation of registering one's residence using the method for non-intrusion type, more convenient；And the investigation time is saved, improve the efficiency of troubleshooting.
Description
Technical field
The present invention relates to user power utilization fault identification field, more specifically refer to that the failure of non-intrusion type user power utilization is known
Other method and its system.
Background technique
Existing user power utilization system can actively cut off electrical connection, avoid when there are the electric faults such as short circuit
The extension of failure and the generation for prompting failure, and used fault distinguishing method passes through monitoring main circuit electricity mostly at present
Stream, system leakage current judge in user's electric wiring with the presence or absence of the electric faults such as overcurrent, overload, electric leakage；This mode
The information that fault distinguishing can provide only stays in whether failure occurs, generally more difficult to be provided in subsequent malfunction elimination
The support of effect.
Legacy user's electricity system is used for the main having air switch of equipment of Judging fault, earth leakage protective device etc..Air is opened
It closes and is disconnected automatically after the main circuit current in user's electric wiring is more than specified value, protection electricity system safety mentions simultaneously
Show in user power utilization system that there is failures, the earth leakage protective devices such as short circuit, overload then utilizes the electric current between zero firewire of electric wiring
Difference differentiates in user power utilization system with the presence or absence of there is electrical leakage situation, after the electric leakage of system is more than defined numerical value, leakage
Non-electricity protector also can automatic open-circuit line, and prompt custom system there are electrical leakage hidden danger.
Traditional fault distinguishing is a kind of Passive Defence method, and major function is to cut off electric wire when failure occurs
Road connection, reminds fault type present in custom system；In default of the identification of active, failure that conventional method can be provided
Information is often system level, and user generally deposits in learning electricity system in the case of a fault, it is still desirable to by pure
The mode manually checked knows failure electric appliance, in addition, because be the type of Passive Defence, therefore can not check part there are hidden danger,
It is also not up to the electrical equipment of fault threshold, cannot achieve trouble-saving.
Summary of the invention
It is an object of the invention to overcome the deficiencies of existing technologies, the fault recognition method of non-intrusion type user power utilization is provided
And its system.
To achieve the above object, the present invention uses following technical scheme：
The fault recognition method of non-intrusion type user power utilization, includes the following steps；
S1 is acquired the data of the voltage of user power utilization inlet, electric current and leakage current；
The data of acquisition are sent to cloud plus timestamp, and stored in database beyond the clouds by S2；
S3 analyzes the data in database, and identification obtains the electrical equipment behavior sequence of user, while monitoring master
The situation of change of electric current, leakage current；
S4, when monitoring that a certain electric characteristic amount occurs abnormal, by event analysis, by abnormal conditions and electric appliance event
It is associated, differentiates the appliance type for causing electric fault.
Its further technical solution is：Further include after the S1：Calculate the active power of user power utilization entirety and idle
Power, while FFT signal spectral analysis is carried out, obtain whole harmonic content characteristic.
Its further technical solution is：Further include after the S4：The waveform diagram for analyzing entire electric power variation, determines
The device type for causing active power to be overloaded.
Its further technical solution is：Further include after the S4：Analyze the wave of each electrical equipment electric current real-time change
Shape figure, analysis determine the device type for causing overcurrent.
Its further technical solution is：Further include after the S4：In conjunction with the residual current and temperature alarming of real-time report
Signal inquires the operating condition of the period each electrical equipment, determines electrical equipment with the presence or absence of leaky.
The fault finding system of non-intrusion type user power utilization, including acquisition unit, transmission unit, research and application unit, with
And judgement unit；
The acquisition unit, the data for voltage, electric current and leakage current to user power utilization inlet are acquired；
The transmission unit for the data of acquisition to be sent to cloud plus timestamp, and stores data beyond the clouds
In library；
The research and application unit, for analyzing the data in database, identification obtains the electrical equipment of user
Behavior sequence, while monitoring principal current, the situation of change of leakage current；
The judgement unit, will be abnormal by event analysis for when monitoring that a certain electric characteristic amount occurs abnormal
Situation is associated with electric appliance event, differentiates the appliance type for causing electric fault.
Its further technical solution is：It further include calculating analytical unit；
The calculating analytical unit for calculating the active power and reactive power of user power utilization entirety, while carrying out FFT
Signal spectral analysis obtains whole harmonic content characteristic.
Its further technical solution is：It further include analysis determination unit；
The analysis determination unit, waveform diagram, each electrical equipment electric current for analyzing entire electric power variation are real
The waveform diagram of the waveform diagram of Shi Bianhua and each electrical equipment voltage real-time change, and determine device type.
Its further technical solution is：It further include inquiry judging unit；
The inquiry judging unit inquires the time for combining the residual current and heat alarm of real-time report
The operating condition of each electrical equipment of section determines electrical equipment with the presence or absence of leaky.
Compared with the prior art, the invention has the advantages that：By measuring register one's residence total current and voltage monitoring electricity consumption of registering one's residence
Situation does not need power-off that equipment can be completed and installs using the method for non-intrusion type, more convenient；The fault identification realizes event
The dynamics of barrier identification is accurate to electric appliance, compares traditional passive type fault recognition method, more accurately, is also convenient for user's reality
The investigation of existing failure；The fault identification based on the identification to electric appliance monomer behavior on, the electricity with tradition based on electricity system
Monitoring information is uploaded to cloud database in real time and handled by the identification of tolerance compared to that can provide more information for user,
The result information permanent storage of processing database beyond the clouds facilitates related technical personnel to inquire and uses；The investigation time is saved simultaneously,
Improve the efficiency of troubleshooting；Trouble-saving can also be realized to the electrical equipment of not up to fault threshold.
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 the fault recognition method of non-intrusion type user power utilization of the present invention；
Fig. 2 is the block diagram of the fault finding system of non-intrusion type user power utilization of the present invention.
10 acquisition unit, 20 transmission unit
30 research and application unit, 40 judgement unit
50, which calculate analytical unit 60, analyzes determination unit
70 inquiry judging units
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 user use
The fault recognition method of electricity, includes the following steps；
S1 is acquired the data of the voltage of user power utilization inlet, electric current and leakage current；
The data of acquisition are sent to cloud plus timestamp, and stored in database beyond the clouds by S2；
S3 analyzes the data in database, and identification obtains the electrical equipment behavior sequence of user, while monitoring master
The situation of change of electric current, leakage current；
S4, when monitoring that a certain electric characteristic amount occurs abnormal, by event analysis, by abnormal conditions and electric appliance event
It is associated, differentiates the appliance type for causing electric fault.
Wherein, in the present embodiment, it is directed to and the measurement of monomer electric appliance is recognized by the way of non-intrusion type, i.e.,
The register one's residence variable quantity of electric current of power consumer is decomposed into the state switching behavior of each electric appliance, and is carried out with leakage condition in the same time
Association, can the state (including malfunction) to monomer electric appliance detect；And the traditionally measurement about monomer electric appliance, it needs
Measurement is carried out at monomer electric appliance access using intrusive method, due to needing to enter inside power consumer, practical operation
In have difficulties.
Wherein, it by measuring register one's residence total current and voltage monitoring electricity consumption situation of registering one's residence, is not needed using the method for non-intrusion type
Equipment installation can be completed in power-off, more convenient；The fault identification realizes that the dynamics of fault identification is accurate to electric appliance,
Traditional passive type fault recognition method is compared, more accurately, is also convenient for the investigation that user realizes failure.
Wherein, in S3, the load decomposition algorithm in cloud is called to analyze the data in database, identification is used
The electrical equipment behavior sequence at family, while monitoring the situations of change such as the principal current of system, leakage current.
Wherein, further include after S1：The active power and reactive power of user power utilization entirety are calculated, while carrying out FFT
Signal spectral analysis obtains whole harmonic content characteristic.
Wherein, further include after S4：The waveform diagram of entire electric power variation is analyzed, determination causes active power to be overloaded
Device type, can determine the reason of causing active power to be overloaded.
Wherein, further include after S4：The waveform diagram of each electrical equipment electric current real-time change is analyzed, analysis determination causes
The device type of overcurrent can analyze and determine the reason of causing overcurrent.
Wherein, further include after S4：In conjunction with the residual current and heat alarm of real-time report, the period is inquired
The operating condition of each electrical equipment determines electrical equipment with the presence or absence of leaky.
Wherein, the present invention in fault identification based on the identification to electric appliance monomer behavior on, with tradition be based on electricity consumption
The identification of the electrical quantity of system is compared can provide more information for user, while save the investigation time, improve troubleshooting
Efficiency；Trouble-saving can also be realized to the electrical equipment of not up to fault threshold.
The principle of the present invention is as follows：Monitoring device is installed in the inlet of the electric wiring of user, acquires each electricity consumption
Fundamental voltage amplitude, fundamental current amplitude, fundamental current phase angle, 3/5/7/9 subharmonic current amplitude, residual current and time
The core datas such as stamp collect data by wireless communication mode unlike original technology and are directly uploaded to cloud data
Library mitigates the memory burden that front end monitoring device directly handles data；The advanced applied software write by cloud is by upload
Data carry out detailed resolution process, obtain the waveform of the relevant parameters such as electric current, voltage, power and the harmonic wave of various electrical equipments
Figure compares analysis and determines each timing node, electrically in conjunction with the electrical fingerprint base for the various electrical equipments that cloud database stores
The type of electrical equipment and the carrying out practically state of a period in route, in conjunction with cloud residual current and temperature alarming information
State judges the device type and reason that cause failure to generate in electricity consumption.
The present invention is monitored user power utilization using the method for non-intruding, under the mode for being not involved in electrical equipment circuit
The electric characteristics information such as voltage, the electric current of route are obtained, and the information collected is handled using load decomposition algorithm
The electric appliance event in user power utilization is picked out, can be electrical equipment by the behavioural analysis of electric appliance monomer when failure occurs
Hidden troubles removing, effective support is provided.
Specifically, it as shown in Fig. 2, the invention also discloses the fault finding systems of non-intrusion type user power utilization, including adopts
Collect unit 10, transmission unit 20, research and application unit 30 and judgement unit 40；
Acquisition unit 10, the data for voltage, electric current and leakage current to user power utilization inlet are acquired；
Transmission unit 20 for the data of acquisition to be sent to cloud plus timestamp, and stores database beyond the clouds
In；
Research and application unit 30, for analyzing the data in database, identification obtains the electrical equipment row of user
For sequence, while monitoring principal current, the situation of change of leakage current；
Judgement unit 40, for when monitoring that a certain electric characteristic amount occurs abnormal, by event analysis, by abnormal feelings
Condition is associated with electric appliance event, differentiates the appliance type for causing electric fault.
Wherein, which further includes calculating analytical unit 50；
Analytical unit 50 is calculated, for calculating the active power and reactive power of user power utilization entirety, while carrying out FFT letter
Number spectrum analysis obtains whole harmonic content characteristic.
Wherein, which further includes analysis determination unit 60；
Determination unit 60 is analyzed, waveform diagram, each electrical equipment electric current for analyzing entire electric power variation are real-time
The waveform diagram of the waveform diagram of variation and each electrical equipment voltage real-time change, and determine device type.
Wherein, which further includes inquiry judging unit 70；
Inquiry judging unit 70 inquires the period for combining the residual current and heat alarm of real-time report
The operating condition of each electrical equipment determines electrical equipment with the presence or absence of leaky.
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 and transmission unit 20 are located at
Local explorer；Research and application unit 30, judgement unit 40 calculate analytical unit 50, analyze determination unit 60 and inquiry judging
Unit 70 is located at cloud.
Fault finding system of the invention, discrimination technology are monitored electricity system, and pass through wireless communication mode, will
Monitoring information is uploaded to cloud database in real time and is handled, the result information permanent storage of processing database beyond the clouds, convenient
Related technical personnel, which inquire, to be used.
Fault finding system of the invention, it is the mistake occurred in user power utilization that discrimination technology, which not only can accurately differentiate,
Stream, overload, the electric faults such as under-voltage and leakage current is excessive, moreover it is possible to accurately differentiate cause to occur overcurrent, overload, it is under-voltage and
The reason of specific device type and generation for leaking electricity excessive, means of this monitoring are without invading each power load side, only
Monitoring device need to be installed in the inlet of user power utilization, by monitoring the signals such as voltage, electric current, residual current at this
Analysis obtains the load type and operating condition of entire user power utilization, has saved the investigation time, has improved the efficiency of troubleshooting.
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 (9)
1. the fault recognition method of non-intrusion type user power utilization, which is characterized in that include the following steps；
S1 is acquired the data of the voltage of user power utilization inlet, electric current and leakage current；
The data of acquisition are sent to cloud plus timestamp, and stored in database beyond the clouds by S2；
S3 analyzes the data in database, and identification obtains the electrical equipment behavior sequence of user, while monitoring main electricity
The situation of change of stream, leakage current；
S4, by event analysis, abnormal conditions and electric appliance event is carried out when monitoring that a certain electric characteristic amount occurs abnormal
Association differentiates the appliance type for causing electric fault.
2. the fault recognition method of non-intrusion type user power utilization according to claim 1, which is characterized in that after the S1
Further include：The active power and reactive power of user power utilization entirety are calculated, while carrying out FFT signal spectral analysis, is obtained whole
Harmonic content characteristic.
3. the fault recognition method of non-intrusion type user power utilization according to claim 1, which is characterized in that after the S4
Further include：The waveform diagram for analyzing entire electric power variation, determines the device type for causing active power to be overloaded.
4. the fault recognition method of non-intrusion type user power utilization according to claim 1, which is characterized in that after the S4
Further include：The waveform diagram of each electrical equipment electric current real-time change is analyzed, analysis determines the device type for causing overcurrent.
5. the fault recognition method of non-intrusion type user power utilization according to claim 1, which is characterized in that after the S4
Further include：In conjunction with the residual current and heat alarm of real-time report, the operation feelings of the period each electrical equipment are inquired
Condition determines electrical equipment with the presence or absence of leaky.
6. the fault finding system of non-intrusion type user power utilization, which is characterized in that including acquisition unit, transmission unit, analysis prison
Survey unit and judgement unit；
The acquisition unit, the data for voltage, electric current and leakage current to user power utilization inlet are acquired；
The transmission unit for the data of acquisition to be sent to cloud plus timestamp, and stores in database beyond the clouds；
The research and application unit, for analyzing the data in database, identification obtains the electrical equipment behavior of user
Sequence, while monitoring principal current, the situation of change of leakage current；
The judgement unit, for when monitoring that a certain electric characteristic amount occurs abnormal, by event analysis, by abnormal conditions
It is associated with electric appliance event, differentiates the appliance type for causing electric fault.
7. the fault finding system of non-intrusion type user power utilization according to claim 6, which is characterized in that further include calculating
Analytical unit；
The calculating analytical unit for calculating the active power and reactive power of user power utilization entirety, while carrying out FFT signal
Spectrum analysis obtains whole harmonic content characteristic.
8. the fault finding system of non-intrusion type user power utilization according to claim 6, which is characterized in that further include analysis
Determination unit；
The analysis determination unit, for analyzing the waveform diagram of entire electric power variation, each electrical equipment electric current becomes in real time
The waveform diagram of the waveform diagram of change and each electrical equipment voltage real-time change, and determine device type.
9. the fault finding system of non-intrusion type user power utilization according to claim 6, which is characterized in that further include inquiry
Judging unit；
It is each to inquire the period for combining the residual current and heat alarm of real-time report for the inquiry judging unit
The operating condition of a electrical equipment determines electrical equipment with the presence or absence of leaky.
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| CN109656208A (en) * | 2018-12-17 | 2019-04-19 | 七彩安科智慧科技有限公司 | A kind of construction method of building electric power early warning Internet of Things |
| CN110988551A (en) * | 2019-12-17 | 2020-04-10 | 深圳华建电力工程设计有限公司 | Non-intrusive type multifunctional electricity safety detection device |
| CN110988557A (en) * | 2019-12-20 | 2020-04-10 | 中国人民解放军陆军军医大学第一附属医院 | Equipment fault detection device based on real-time current detection |
| CN111381100A (en) * | 2020-02-14 | 2020-07-07 | 马瑞 | External multifunctional non-invasive load recognition device for intelligent electric meter |
| CN111796154A (en) * | 2019-04-04 | 2020-10-20 | 南京正泰龙科技有限公司 | Device and method for monitoring abnormity of power supply connection part of electric equipment |
| 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 |
| 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 |
| 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 |
| CN113933585A (en) * | 2021-11-26 | 2022-01-14 | 长沙理工大学 | Detection method for zero-breaking electricity-stealing users in electricity leakage platform area based on Euclidean distance |
| CN114069873A (en) * | 2021-11-29 | 2022-02-18 | 嘉兴华炳物联网科技有限公司 | Power consumption safety intelligent monitoring system based on secondary circuit |
| CN115864662A (en) * | 2023-03-03 | 2023-03-28 | 沃逸新能源科技（江苏）有限公司 | 5G intelligent safety power utilization system |
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| CN109656208A (en) * | 2018-12-17 | 2019-04-19 | 七彩安科智慧科技有限公司 | A kind of construction method of building electric power early warning Internet of Things |
| CN111796154A (en) * | 2019-04-04 | 2020-10-20 | 南京正泰龙科技有限公司 | Device and method for monitoring abnormity of power supply connection part of electric equipment |
| CN110988551A (en) * | 2019-12-17 | 2020-04-10 | 深圳华建电力工程设计有限公司 | Non-intrusive type multifunctional electricity safety detection device |
| CN110988557A (en) * | 2019-12-20 | 2020-04-10 | 中国人民解放军陆军军医大学第一附属医院 | Equipment fault detection device based on real-time current detection |
| CN110988557B (en) * | 2019-12-20 | 2022-06-10 | 中国人民解放军陆军军医大学第一附属医院 | Equipment fault detection device based on real-time current detection |
| CN111381100A (en) * | 2020-02-14 | 2020-07-07 | 马瑞 | External multifunctional non-invasive load recognition device for intelligent electric meter |
| 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 |
| 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 |
| 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 |
| CN113933585A (en) * | 2021-11-26 | 2022-01-14 | 长沙理工大学 | Detection method for zero-breaking electricity-stealing users in electricity leakage platform area based on Euclidean distance |
| CN114069873A (en) * | 2021-11-29 | 2022-02-18 | 嘉兴华炳物联网科技有限公司 | Power consumption safety intelligent monitoring system based on secondary circuit |
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Application publication date: 20181116 |