CN107994539B - A kind of distribution line failure detection system based on Cloud Server - Google Patents
A kind of distribution line failure detection system based on Cloud Server Download PDFInfo
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- CN107994539B CN107994539B CN201711279619.0A CN201711279619A CN107994539B CN 107994539 B CN107994539 B CN 107994539B CN 201711279619 A CN201711279619 A CN 201711279619A CN 107994539 B CN107994539 B CN 107994539B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0092—Details of emergency protective circuit arrangements concerning the data processing means, e.g. expert systems, neural networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0061—Details of emergency protective circuit arrangements concerning transmission of signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The distribution line failure detection system based on Cloud Server that the present invention relates to a kind of, including Cloud Server and the data administration subsystem for being separately positioned on each section circuit monitoring point of power distribution network；Voltage, the current signal of power supply line are acquired, voltage, the current signal of the power supply line are voltage current transformer respectively by the weak electric signal of each voltage and current signal conversion of power supply line；Switch data acquisition module is used to acquire the signal of the acting characteristic of switch, the temperature of contact；And judged according to the prediction that the data being matched in maintenance log library carry out fault type to circuit monitoring point；Fault warning mark prompt further is carried out to the prediction judgement for carrying out fault type to control point according to judgment module prison in situational map, and further corresponding monitoring point prediction fault location information is sent to the mobile terminal of guilty culprit section maintenance personal.
Description
Technical field
The invention belongs to power supply technique fields, and in particular to a kind of distribution line failure detection system based on Cloud Server
System.
Background technique
With economic fast development, the substantial increase of power load proposes more power supply reliability and power supply quality
Carry out higher requirement, power distribution network is directly facing user, and the influence to customer power supply quality and power supply reliability is also the most direct, phase
For power transmission network, distribution protection, the configuration of control device are relatively easy, easily by failure caused by various factors.
According to statistics, most power outages are because of distribution network failure, and system for distribution network of power feeder line Numerous, supply district is wide, equipment
Enormous amount.Not only loss is big when line failure, and the investigation of fault point is also extremely difficult.Especially in urban power distribution network
In, underground cable power supply mode is applied increasingly extensive, and the difficulty of investigation is even more increased.In order to find out specific abort situation,
Operator's bracing wire power failure and artificial line walking are generally required to search fault point, spends the time long, manpower and material resources expend greatly, easy
Extend power off time, reduces power supply reliability.
Summary of the invention
It is an object of the present invention to design one kind based on Cloud Server in view of the above-mentioned drawbacks of the prior art, providing
Distribution line failure detection system, to solve the above technical problems.
In order to achieve the above object, the technical scheme is that
A kind of distribution line failure detection system based on Cloud Server, including Cloud Server and it is separately positioned on power distribution network
The data administration subsystem of each section circuit monitoring point；
The data administration subsystem includes: acquisition unit, control processing unit, Bus Interface Unit and communication unit；
Control processing unit is connect with acquisition unit, and communication unit is connect with control processing unit；The acquisition unit will
Collected data information transfer will pass through communication unit after the data processing received to processing unit, control processing unit is controlled
Member is uploaded to Cloud Server；
Acquisition unit includes: power supply line's data acquisition module and switch data acquisition module；
Power supply line's data acquisition module is used to acquire voltage, the current signal of power supply line, the supply lines
Voltage, the current signal on road are voltage current transformer respectively by the weak electric signal of each voltage and current signal conversion of power supply line；
Switch data acquisition module is used to acquire the signal of the acting characteristic of switch, the temperature of contact；
The Cloud Server includes section database, employee's log database and maintenance log library, the section database
For recording maintenance maintenance staff corresponding to each section controller switching equipment and line information and each section；
Employee's log database, for recording the job information of staff；
The maintenance log library, for record circuit monitoring point historical data, circuit monitoring point real-time data collection and
Monitoring point troubleshooting data；
The Cloud Server includes data process subsystem and management control subsystem, and data process subsystem and management are controlled
Subsystem connection；
Data process subsystem includes relating module, analysis and processing module, matching module and judgment module；
The relating module is used for and by circuit monitoring point historical data and circuit monitoring point real-time data collection and monitoring
Point failure overhaul data is associated storage；
The analysis and processing module, for carrying out relation analysis of parameter associated with point failure is monitored；It will overhaul day
The operation data fitting of each secondary failure of each parameter is in line in will library, the operation data corresponding one of each failure of each parameter
Fitting a straight line and analyze some parameter each secondary failure operation data fitting a straight line slope it is whether consistent, be greater than if slope has
Zero also has minus, then the parameter is unrelated with the failure of current line monitoring point；If slope is both greater than zero or both less than zero,
The parameter is associated with the failure of current line monitoring point；
The analysis and processing module is also used to each parameter operation data of real-time acquisition monitoring point being fitted to curve composition
First kind curve, while the operation data of each secondary failure for the corresponding parameter overhauled in log library is also intended to resultant curve composition
Second class curve；
The matching module, for the data in circuit monitoring point real-time data collection and maintenance log library to be carried out data
Matching；By each parameter operation data curve in the first kind curve of analysis and processing module fitting and corresponding ginseng in the second class curve
The curve of the operation data of several each secondary failures carries out matching treatment one by one；
The judgment module, for when in matching module outlet line monitoring point real-time data collection and maintenance log library
When the matching value that certain overhaul data matches, circuit monitoring point is carried out according to the data being matched in maintenance log library
The prediction of fault type judges；
Data process subsystem further includes monitoring point position setup module, position acquisition module and output module；
Monitoring point position setup module is led to for the communications address information of each monitoring point in distribution line to be arranged
Believe the information setting including circuit monitoring or monitoring switch in address information, and communicatedly by monitoring point each in distribution line
Location information is arranged to situational map；
The position acquisition module, for from the situational map of setting, obtaining each monitoring point geographical location letter in real time
It ceases and the geographical location information that will acquire is converted into identifiable coordinate model；
Output module, for judging in situational map the prediction for carrying out fault type to control point according to judgment module prison
Fault warning mark prompt is carried out, and corresponding monitoring point prediction fault location information is further sent to guilty culprit section dimension
Repair the mobile terminal of personnel.
Further, management control subsystem includes communication setting module and bus extender module, the communications setting mould
Block is transferred for defaulting when network signal is normal by the data that network carries out data administration subsystem and Cloud Server, is broken
Data administration subsystem is arranged by Bus Interface Unit and by bus extender module and cloud in communication setting module automatically when net
Server communication connection.
Further, Cloud Server further includes information management subsystem, the information management subsystem, for work people
The working condition of member, which is analyzed, to be assert, is referred to for company to evaluation of employee；
Information management subsystem includes message processing module, the message processing module, for right after the completion of troubleshooting
Staff's input service log pre-processes and feature extraction；
Log integrity obtains dependent event information and fault handling method to be detected in work log；Feature mentions
The time including extracting staff's corresponding failure information is taken, troubleshooting works start and end time, end time and system event
Barrier recovery time is compared, and time started and response fault message time are compared and result is stored in deciding grade and level rule base,
It is made reference for company personnel's examination.
Further, circuit monitoring point historical data, circuit monitoring point real-time data collection and monitoring point trouble hunting
Data are recorded in chronological order in maintenance log library, and the monitoring point troubleshooting data includes monitoring point corrective maintenance time
It is described with fault type.
Further, the matching module includes computing unit and initialization unit；
Computing unit is used for the matched curve of calculating parameter n current operating data and the m times failure operation data matched curve
Similarity Sn,
It is also used to calculate monitoring point and acquires each parameter operation data matched curve and the m times failure operation data fitting in real time
The overall similarity S of curve；
Initialization unit, for setting first threshold and second threshold, first threshold is that single parameter matches similarity degree
Value；Second threshold is that whole parameters match similarity degree value.Further, the event that circuit monitoring point will occur or have occurred and that
Barrier type is the fault type of the overhaul data record for the failure for overhauling the matching condition for meeting setting in log library.
Further, if the matching condition of setting includes that all Sn are greater than or equal to first threshold, and S is greater than or waits
In second threshold, then successful match, is less than first threshold or S less than it fails to match if second threshold if any one Sn.
The beneficial effects of the present invention are Cloud Server is equipped with multiple databases in the present invention, including section data
Library, employee's log database and maintenance log library, can be in distribution line monitoring by the administrative analysis to disparate databases
The relevant device of point is remotely monitored, and carries out the judgement or prediction of failure, and can be provided and be predicted to occur or have occurred and that
The position of the monitoring point of failure, staff can receive at the first time location coordinate information, carry out inspection maintenance, section to route
The time has been saved, provides basic guarantee for being normally carried out of producing and live.
In addition, design principle of the present invention is reliable, structure is simple, has very extensive application prospect.
It can be seen that compared with prior art, the present invention have substantive distinguishing features outstanding and it is significant ground it is progressive, implementation
Beneficial effect be also obvious.
Detailed description of the invention
Fig. 1 is a kind of distribution line failure detection system connection block diagram based on Cloud Server；
Fig. 2 is a kind of distribution line failure detection system connection block diagram based on Cloud Server；
Wherein, 1- Cloud Server, 1.1- data process subsystem 1.2- management control subsystem, 1.3- information management subsystem
System, the section 1.4- database, 1.5- overhaul log library, 1.6- employee's log database, 2- mobile terminal, 3- data management subsystem
System, 3.1- acquisition unit, 3.2- control processing unit, 3.3- Bus Interface Unit, 3.4- communication unit.
Specific embodiment
The present invention will be described in detail with reference to the accompanying drawing and by specific embodiment, and following embodiment is to the present invention
Explanation, and the invention is not limited to following implementation.
As shown in Figure 1 and Figure 2, a kind of distribution line failure detection system based on Cloud Server provided in an embodiment of the present invention
System, including Cloud Server 1 and the data administration subsystem 3 for being separately positioned on each section circuit monitoring point of power distribution network；
The data administration subsystem 3 includes: acquisition unit 3.1, control processing unit 3.2,3.3 and of Bus Interface Unit
Communication unit 3.4；
Control processing unit 3.2 is connect with acquisition unit 3.1, and communication unit 3.4 is connect with control processing unit 3.2；Institute
Acquisition unit 3.1 is stated by collected data information transfer to control processing unit 3.2, control processing unit 3.2 will receive
Data processing after Cloud Server 1 be uploaded to by communication unit 3.4 or control the data processing that will receive of processing unit 3.2
Cloud Server 1 is transmitted to by Bus Interface Unit 3.3 afterwards；
Acquisition unit 3.1 includes: power supply line's data acquisition module and switch data acquisition module；
Power supply line's data acquisition module is used to acquire voltage, the current signal of power supply line, the supply lines
Voltage, the current signal on road are voltage current transformer respectively by the weak electric signal of each voltage and current signal conversion of power supply line；
Switch data acquisition module is used to acquire the signal of the acting characteristic of switch, the temperature of contact；
The Cloud Server 1 includes section database 1.4, employee's log database 1.6 and overhauls log library 1.5, described
Section database 1.4 is for recording maintenance maintenance corresponding to each section controller switching equipment and line information and each section
Staff；
Employee's log database 1.6, for recording the job information of staff；
The maintenance log library 1.5, for record circuit monitoring point historical data, circuit monitoring point real-time data collection with
And monitoring point troubleshooting data；
The Cloud Server 1 includes data process subsystem 1.1 and management control subsystem 1.2, data process subsystem
1.1 connect with management control subsystem 1.2；
Data process subsystem 1.1 includes relating module, analysis and processing module, matching module and judgment module；
The relating module is used for and by circuit monitoring point historical data and circuit monitoring point real-time data collection and monitoring
Point failure overhaul data is associated storage；
The analysis and processing module, for carrying out relation analysis of parameter associated with point failure is monitored；It will overhaul day
The operation data fitting of each secondary failure of each parameter is in line in will library, the operation data corresponding one of each failure of each parameter
Fitting a straight line and analyze some parameter each secondary failure operation data fitting a straight line slope it is whether consistent, be greater than if slope has
Zero also has minus, then the parameter is unrelated with the failure of current line monitoring point；If slope is both greater than zero or both less than zero,
The parameter is associated with the failure of current line monitoring point；
The analysis and processing module is also used to each parameter operation data of real-time acquisition monitoring point being fitted to curve composition
First kind curve, while the operation data of each secondary failure for the corresponding parameter overhauled in log library is also intended to resultant curve composition
Second class curve；
The matching module, for the data in circuit monitoring point real-time data collection and maintenance log library to be carried out data
Matching；By each parameter operation data curve in the first kind curve of analysis and processing module fitting and corresponding ginseng in the second class curve
The curve of the operation data of several each secondary failures carries out matching treatment one by one；
The judgment module, for when in matching module outlet line monitoring point real-time data collection and maintenance log library
When the matching value that certain overhaul data matches, circuit monitoring point is carried out according to the data being matched in maintenance log library
The prediction of fault type judges；
Data process subsystem 1.1 further includes monitoring point position setup module, position acquisition module and output module；
Monitoring point position setup module is led to for the communications address information of each monitoring point in distribution line to be arranged
Believe the information setting including circuit monitoring or monitoring switch in address information, and communicatedly by monitoring point each in distribution line
Location information is arranged to situational map；
The position acquisition module, for from the situational map of setting, obtaining each monitoring point geographical location letter in real time
It ceases and the geographical location information that will acquire is converted into identifiable coordinate model；
Output module, for judging in situational map the prediction for carrying out fault type to control point according to judgment module prison
Fault warning mark prompt is carried out, and corresponding monitoring point prediction fault location information is further sent to guilty culprit section dimension
Repair the mobile terminal 2 of personnel.
Management control subsystem 1.2 includes communication setting module and bus extender module, and the communication setting module is used for
When network signal is normal, default carries out data administration subsystem 3 by network communication unit and the data of Cloud Server 1 are transferred,
Data administration subsystem 3 is arranged by Bus Interface Unit 3.3 and by bus extension mould in communication setting module automatically when suspension
Block and Cloud Server 1 communicate to connect.
Cloud Server 1 further includes information management subsystem 1.3, and the information management subsystem 1.3 is used for staff
Working condition analyze and assert, evaluation of employee is referred to for company；
Information management subsystem 1.3 includes message processing module, the message processing module, for after the completion of troubleshooting
Staff's input service log is pre-processed and feature extraction；
Log integrity obtains dependent event information and fault handling method to be detected in work log；Feature mentions
The time including extracting staff's corresponding failure information is taken, troubleshooting works start and end time, end time and system event
Barrier recovery time is compared, and time started and response fault message time are compared and result is stored in deciding grade and level rule base,
It is made reference for company personnel's examination.
Circuit monitoring point historical data, circuit monitoring point real-time data collection and monitoring point troubleshooting data are temporally
In maintenance log library, the monitoring point troubleshooting data includes monitoring point corrective maintenance time and fault type for journal
Description.
The matching module includes computing unit and initialization unit；
Computing unit is used for the matched curve of calculating parameter n current operating data and the m times failure operation data matched curve
Similarity Sn,
It is also used to calculate monitoring point and acquires each parameter operation data matched curve and the m times failure operation data fitting in real time
The overall similarity S of curve；
Initialization unit, for setting first threshold and second threshold, first threshold is that single parameter matches similarity degree
Value；Second threshold is that whole parameters match similarity degree value.
The fault type that circuit monitoring point will occur or have occurred and that is to overhaul the matching item for meeting setting in log library
The fault type of the overhaul data record of the failure of part.
If the matching condition of setting includes that all Sn are greater than or equal to first threshold, and S is greater than or equal to the second threshold
Value, then successful match, is less than first threshold or S less than it fails to match if second threshold if any one Sn.
Disclosed above is only the preferred embodiment of the present invention, but the present invention is not limited to this, any this field
What technical staff can think does not have creative variation, and without departing from the principles of the present invention made by several improvement and
Retouching, should all be within the scope of the present invention.
Claims (7)
1. a kind of distribution line failure detection system based on Cloud Server, which is characterized in that set including Cloud Server and respectively
Set the data administration subsystem in each section circuit monitoring point of power distribution network；
The data administration subsystem includes: acquisition unit, control processing unit, Bus Interface Unit and communication unit；
Control processing unit is connect with acquisition unit, and communication unit is connect with control processing unit；The acquisition unit will acquire
To data information transfer to processing unit is controlled, control processing unit will be after the data processing that received by communication unit
Reach Cloud Server；
Acquisition unit includes: power supply line's data acquisition module and switch data acquisition module；
Power supply line's data acquisition module is used to acquire voltage, the current signal of power supply line, the power supply line
Voltage, current signal are voltage current transformer respectively by the weak electric signal of each voltage and current signal conversion of power supply line；
Switch data acquisition module is used to acquire the signal of the acting characteristic of switch, the temperature of contact；
The Cloud Server includes that section database, employee's log database and maintenance log library, the section database are used for
Record maintenance maintenance staff corresponding to each section controller switching equipment and line information and each section；
Employee's log database, for recording the job information of staff；
The maintenance log library is used for record circuit monitoring point historical data, circuit monitoring point real-time data collection and monitoring
Point failure overhaul data；
The Cloud Server includes data process subsystem and management control subsystem, and data process subsystem and management control are sub
System connection；
Data process subsystem includes relating module, analysis and processing module, matching module and judgment module；
The relating module is used for circuit monitoring point historical data and circuit monitoring point real-time data collection and monitoring point failure
Overhaul data is associated storage；
The analysis and processing module, for carrying out relation analysis of parameter associated with point failure is monitored；Log library will be overhauled
In the operation data fitting of each secondary failure of each parameter be in line, the operation data of each failure of each parameter corresponding one is quasi-
It closes straight line and whether the slope for analyzing each secondary failure operation data fitting a straight line of some parameter is consistent, if slope has greater than zero
Have minus, then the parameter is unrelated with the failure of current line monitoring point；If slope is both greater than zero or both less than zero, the ginseng
Number is associated with the failure of current line monitoring point；
The analysis and processing module is also used to each parameter operation data of real-time acquisition monitoring point being fitted to curve composition first
Class curve, while the operation data of each secondary failure for the corresponding parameter overhauled in log library is also intended to resultant curve composition second
Class curve；
The matching module, for the data in circuit monitoring point real-time data collection and maintenance log library to be carried out data
Match；By each parameter operation data curve in the first kind curve of analysis and processing module fitting and corresponding parameter in the second class curve
The curve of operation data of each secondary failure carry out matching treatment one by one；
The judgment module, for when matching module outlet line monitoring point real-time data collection with maintenance log library in it is a certain
When the matching value that secondary overhaul data matches, failure is carried out to circuit monitoring point according to the data being matched in maintenance log library
The prediction of type judges；
Data process subsystem further includes monitoring point position setup module, position acquisition module and output module；
Monitoring point position setup module, for the communications address information of each monitoring point in distribution line to be arranged, communicatedly
In the information of location include the information setting of circuit monitoring or monitoring switch, and the mailing address of monitoring point each in distribution line is believed
Breath is arranged to situational map；
The position acquisition module, for from the situational map of setting, obtaining each monitoring point geographical location information in real time simultaneously
The geographical location information that will acquire is converted into identifiable coordinate model；
Output module, for judging to carry out to the prediction for carrying out fault type to monitoring point according to judgment module in situational map
Fault warning mark prompt, and corresponding monitoring point prediction fault location information is further sent to guilty culprit section maintenance people
The mobile terminal of member.
2. a kind of distribution line failure detection system based on Cloud Server according to claim 1, which is characterized in that pipe
Reason control subsystem includes communication setting module and bus extender module, the communication setting module, for network signal just
Setting default is transferred by network progress data administration subsystem and the data of Cloud Server when often, communication setting module when suspension
Automatic setting data administration subsystem is communicated to connect by Bus Interface Unit and by bus extender module and Cloud Server.
3. a kind of distribution line failure detection system based on Cloud Server according to claim 1 or 2, feature exist
In Cloud Server further includes information management subsystem, the information management subsystem, for the working condition to staff point
Analysis is assert, refers to for company to evaluation of employee；
Information management subsystem includes message processing module, the message processing module, for troubleshooting after the completion to work
Personnel's input service log pre-processes and feature extraction；
Log integrity obtains dependent event information and fault handling method to be detected in work log；Feature extraction packet
The time for extracting staff's corresponding failure information is included, troubleshooting works start and end time, and the end time is extensive with the system failure
The multiple time is compared, and time started and response fault message time are compared and result is stored in deciding grade and level rule base, for public affairs
Department's evaluation of employee makes reference.
4. a kind of distribution line failure detection system based on Cloud Server according to claim 3, which is characterized in that line
Road monitoring point historical data, circuit monitoring point real-time data collection and monitoring point troubleshooting data are recorded in chronological order
It overhauls in log library, the monitoring point troubleshooting data includes monitoring point corrective maintenance time and fault type description.
5. a kind of distribution line failure detection system based on Cloud Server according to claim 4, which is characterized in that institute
Stating matching module includes computing unit and initialization unit；
Computing unit, the phase for calculating parameter n current operating data matched curve and the m times failure operation data matched curve
Like degree Sn,
It is also used to calculate monitoring point and acquires each parameter operation data matched curve and the m times failure operation data matched curve in real time
Overall similarity S；
Initialization unit, for setting first threshold and second threshold, first threshold is that single parameter matches similarity degree value；The
Two threshold values are that whole parameters match similarity degree value.
6. a kind of distribution line failure detection system based on Cloud Server according to claim 5, which is characterized in that line
The fault type that road monitoring point will occur or have occurred and that is the failure for overhauling the matching condition for meeting setting in log library
The fault type of overhaul data record.
7. a kind of distribution line failure detection system based on Cloud Server according to claim 6, which is characterized in that set
If fixed matching condition include all Sn be greater than or equal to first threshold, and S be greater than or equal to second threshold, then matching at
Function, it fails to match if any one Sn is less than first threshold or S is less than second threshold.
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Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016153739A (en) * | 2015-02-20 | 2016-08-25 | 株式会社Ｎｔｔファシリティーズ | Power supply system, power supply quality monitoring device, power supply monitoring method, and program |
| CN106059067B (en) * | 2016-05-24 | 2018-06-19 | 国网山东省电力公司泗水县供电公司 | A kind of remote monitoring system of electric power system |
| CN206258523U (en) * | 2016-06-07 | 2017-06-16 | 国网山东省电力公司 | A kind of distribution network electric energy quality monitoring device based on cloud platform |
| CN106787183A (en) * | 2016-12-12 | 2017-05-31 | 广东电网有限责任公司电力科学研究院 | A kind of data monitoring terminal and distribution transformer on-line monitoring method |
| CN206618821U (en) * | 2017-04-19 | 2017-11-07 | 王可贺 | A kind of electric power distribution network line-to-ground fault detects alarm device |
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