CN112258765A - District operating condition monitoring and early warning system based on big data and artificial intelligence technique - Google Patents
District operating condition monitoring and early warning system based on big data and artificial intelligence technique Download PDFInfo
- Publication number
- CN112258765A CN112258765A CN202011147085.8A CN202011147085A CN112258765A CN 112258765 A CN112258765 A CN 112258765A CN 202011147085 A CN202011147085 A CN 202011147085A CN 112258765 A CN112258765 A CN 112258765A
- Authority
- CN
- China
- Prior art keywords
- terminal
- voltage detector
- data processing
- system based
- artificial intelligence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/22—Electrical actuation
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Alarm Systems (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a station area running state monitoring and early warning system based on big data and artificial intelligence technology, which comprises an electric leakage monitoring terminal, a power failure warning terminal, a background data processing terminal, a data receiving module, an Ethernet transmission module, a warning controller, a warning module and a large screen management host, wherein the output ends of the electric leakage monitoring terminal and the power failure warning terminal are communicated with the data receiving module through the Ethernet transmission module. According to the station area running state monitoring and early warning system based on big data and artificial intelligence technology, when a line is abnormal, a maintenance worker can be sent to be alarmed to maintain the corresponding line; the background data processing terminal detects the sum of the power consumption value of the user at ordinary times and the power consumption, compares the sum with the sum of the output power supply, and when the sum is smaller than the sum of the output power supply, alarms to prompt background personnel to search for a power stealing user; the whole circuit fault detection device is convenient for timely detecting a fault circuit and can timely find whether electricity stealing phenomena exist or not.
Description
Technical Field
The invention relates to the technical field of a transformer area operation management system, in particular to a transformer area operation state monitoring and early warning system based on big data and artificial intelligence technology.
Background
In an electric power system, a transformer area refers to a power supply range or region of a transformer, and is a term for power economy operation management; the transformer area is responsible for meter reading, electric charge payment urging, price sharing management and power supply and utilization execution work, meanwhile, the phenomena of violation of regulation and electricity stealing need to be monitored, early warning is carried out after abnormality, and the integrated background is used for timely processing to guarantee the running stability of the transformer area; based on the above, a platform region running state monitoring and early warning system based on big data and artificial intelligence technology is provided.
Disclosure of Invention
The invention aims to provide a district operation state monitoring and early warning system based on big data and artificial intelligence technology, which is convenient for timely detecting a fault line and can timely find whether electricity stealing occurs or not so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the station area running state monitoring and early warning system based on big data and artificial intelligence technology comprises an electric leakage monitoring terminal, a power-off alarm terminal, a background data processing terminal, a data receiving module, an Ethernet transmission module, an alarm controller, an alarm module and a large screen management host, wherein the output ends of the electric leakage monitoring terminal and the power-off alarm terminal are communicated with the data receiving module through the Ethernet transmission module, the data receiving module is electrically connected with the background data processing terminal, the background data processing terminal is interconnected with the large screen management host, the input end of the alarm controller is electrically connected with the background data processing terminal, and the output end of the alarm controller is electrically connected with the alarm module.
Preferably, the electric leakage monitoring terminal is composed of electric meters, each electric meter is respectively marked as an electric meter 1, an electric meter 2-an electric meter N, wireless data transmission terminals are arranged in the electric meter 1, the electric meter 2-the electric meter N, and each wireless data transmission terminal is transmitted to the background data processing terminal through the Ethernet transmission module and the data receiving module.
Preferably, the power failure alarm terminal comprises a plurality of voltage detectors, the voltage detectors are respectively marked as a voltage detector 1 and a voltage detector 2-a voltage detector N, the voltage detector 1 and the voltage detector 2-the voltage detector N are respectively provided with an abnormal signal transmission terminal, and the voltage detector 1 and the voltage detector 2-the voltage detector N are connected to each section of power transmission line in parallel.
Preferably, the alarm module adopts a loudspeaker and a red LED lamp as an alarm unit.
Preferably, the background data processing terminal adopts an FPGA chip as a main control chip, the FPGA chip is used for receiving power consumption information transmitted by the leakage monitoring terminal, comparing the obtained signal with the output power size, and receiving an abnormal signal transmitted by the power-off alarm terminal.
Preferably, the voltage detector 1, the voltage detector 2, and the voltage detector N are both attached with electronic tags, each electronic tag correspondingly marks different lines, and the line information corresponding to each electronic tag is stored in the information storage terminal of the background data processing terminal.
Compared with the prior art, the invention has the beneficial effects that: according to the station operation state monitoring and early warning system based on big data and artificial intelligence technology, the conduction state of each line is detected through the voltage detector 1-the voltage detector N, when the line is abnormal, abnormal information is sent to the background data processing terminal, the background data processing terminal processes the information after receiving the information, and an alarm is given after processing to prompt dispatched maintenance personnel to maintain the corresponding line; the background data processing terminal detects the sum of the power consumption value of the user at ordinary times and the power consumption, compares the sum with the sum of the output power supply, and when the sum is smaller than the sum of the output power supply, alarms to prompt background personnel to search for a power stealing user; the whole circuit fault detection device is convenient for timely detecting a fault circuit and can timely find whether electricity stealing phenomena exist or not.
Drawings
FIG. 1 is a functional block diagram of the present invention;
fig. 2 is a schematic diagram of the detection of the power-off alarm terminal of the present invention.
In the figure: 1. a leakage monitoring terminal; 2. a power-off alarm terminal; 3. a background data processing terminal; 4. a data receiving module; 5. an Ethernet transmission module; 6. an alarm controller; 7. an alarm module; 8. and a large screen management host.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a station area operation state monitoring and early warning system based on big data and artificial intelligence technology comprises an electric leakage monitoring terminal 1, a power failure alarm terminal 2, a background data processing terminal 3, a data receiving module 4, an ethernet transmission module 5, an alarm controller 6, an alarm module 7 and a large screen management host 8, wherein the output ends of the electric leakage monitoring terminal 1 and the power failure alarm terminal 2 are communicated with the data receiving module 4 through the ethernet transmission module 5, the data receiving module 4 is electrically connected with the background data processing terminal 3, the background data processing terminal 3 is interconnected with the large screen management host 8, the input end of the alarm controller 6 is electrically connected with the background data processing terminal 3, the output end of the alarm controller 6 is electrically connected with the alarm module 7, wherein the background data processing terminal 3 adopts an FPGA chip as a main control chip for receiving power consumption information transmitted from the electric leakage monitoring terminal 1, and comparing the obtained signal with the output power size, and receiving an abnormal signal transmitted by the power-off alarm terminal 2.
As a further scheme of the invention: the electric leakage monitoring terminal 1 is composed of electric meters, the electric meters are respectively marked as an electric meter 1, an electric meter 2-an electric meter N, wireless data transmission terminals are arranged in the electric meter 1, the electric meter 2-the electric meter N, and the wireless data transmission terminals are transmitted to the background data processing terminal 3 through the Ethernet transmission module 5 and the data receiving module 4.
By adopting the technical scheme, the electric quantity sum of the user is detected by the ammeter 1 and the ammeter 2-the ammeter N, the output power supply sum and the user power consumption sum are detected at each time interval at night, and the line loss is obtained, therefore, when the user power consumption sum and the electric quantity loss are added at ordinary times, the total value is smaller than the output power supply sum, the problem that the electricity is stolen by skipping the ammeter to contact a power line is explained, the background data processing terminal 3 sends an instruction to the alarm controller 6 at the moment, the alarm controller 6 controls the loudspeaker and the infrared alarm lamp of the alarm module 7 to give an alarm prompt, and background personnel are prompted to search electricity stealing users.
As a further scheme of the invention: the power failure alarm terminal 2 comprises a plurality of voltage detectors, the voltage detectors are respectively marked as a voltage detector 1 and a voltage detector 2-a voltage detector N, abnormal signal transmission terminals are arranged in the voltage detector 1 and the voltage detector 2-the voltage detector N, and the voltage detector 1 and the voltage detector 2-the voltage detector N are connected to each section of power transmission line in parallel; the voltage detector 1 and the voltage detector 2-the voltage detector N are respectively attached with an electronic tag, each electronic tag correspondingly marks different lines, and line information corresponding to each electronic tag is stored in an information storage end of the background data processing terminal 3.
By adopting the technical scheme, when the line is normal, the voltage detector 1 and the voltage detector 2-the voltage detector N are connected in parallel, current passes through the line, abnormal signal transmission terminals are arranged in the voltage detector 1 and the voltage detector 2-the voltage detector N and do not work, for example, when the line connected with the voltage detector 2 is powered off, no power supply flows when the voltage detector 2 detects that no power supply flows through, the abnormal information is sent to the background data processing terminal 3 through the built-in abnormal signal transmission terminals, and when the background data processing terminal 3 exists, a maintenance worker is dispatched to maintain the line according to the corresponding electronic tag number corresponding to the background data processing terminal.
As a further scheme of the invention: the alarm module 7 adopts a loudspeaker and a red LED lamp as an alarm unit.
By adopting the technical scheme, the loudspeaker and the red light LED lamp are adopted to alarm simultaneously, so that background personnel can be more effectively prompted.
According to the station area running state monitoring and early warning system based on big data and artificial intelligence technology, the conduction state of each line is detected through the voltage detector 1-the voltage detector N, when the line is normal, an abnormal signal transmission terminal does not work in the voltage detector 1, the voltage detector 2-the voltage detector N, the abnormal signal transmission terminal is arranged in the voltage detector N, abnormal information is sent to the background data processing terminal 3 by the abnormal signal transmission terminal, when the background data processing terminal 3 exists, the corresponding line is corresponding to the corresponding line according to the corresponding electronic tag number, and maintenance personnel are dispatched to maintain the line; the electric quantity sum of the user is detected by the electric meters 1 and 2-N, after the line loss is detected, the sum of the electric quantity loss and the sum of the electric consumption sum of the user at ordinary times is detected, and compared with the sum of the output power supplies, when the sum is smaller than the sum of the output power supplies, the problem that the user steals electricity by skipping the electric meter to contact a power line is indicated, and then a warning is given to prompt background personnel to search for the electricity stealing user.
In summary, the station operation state monitoring and early warning system based on big data and artificial intelligence technology provided by the invention detects the conduction state of each line through the voltage detector 1-the voltage detector N, when the line is abnormal, sends abnormal information to the background data processing terminal 3, the background data processing terminal 3 processes the information after receiving the information, and gives an alarm after processing to prompt a maintenance worker to maintain the corresponding line; the background data processing terminal 3 detects the sum of the value of the electricity consumption of the ordinary user and the loss of the electricity, compares the sum with the sum of the output power supply, and when the sum is smaller than the sum of the output power supply, alarms and prompts background personnel to search for electricity stealing users; the whole circuit fault detection device is convenient for timely detecting a fault circuit and can timely find whether electricity stealing phenomena exist or not.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. The station operation state monitoring and early warning system based on big data and artificial intelligence technology is characterized by comprising an electric leakage monitoring terminal (1), a power failure warning terminal (2), a background data processing terminal (3), a data receiving module (4), an Ethernet transmission module (5), a warning controller (6), a warning module (7) and a large-screen management host (8), the output of electric leakage monitor terminal (1) and outage alarm terminal (2) all passes through ethernet transmission module (5) and data receiving module (4) communication, data receiving module (4) and backstage data processing terminal (3) electric connection, backstage data processing terminal (3) and big screen management host computer (8) interconnection, the input and backstage data processing terminal (3) electric connection of alarm controller (6), the output and the alarm module (7) electric connection of alarm controller (6).
2. The district operating condition monitoring and early warning system based on big data and artificial intelligence technology as claimed in claim 1, wherein: electric leakage monitor terminal (1) adopts each ammeter to constitute, each the ammeter is marked as ammeter 1 respectively, ammeter 2-ammeter N, and ammeter 1, ammeter 2-ammeter N all embed to have wireless data transmission terminal, each wireless data transmission terminal all adopts ethernet transmission module (5) and data receiving module (4) to transmit backstage data processing terminal (3).
3. The district operating condition monitoring and early warning system based on big data and artificial intelligence technology as claimed in claim 1, wherein: the power failure alarm terminal (2) comprises a plurality of voltage detectors, the voltage detectors are respectively recorded as a voltage detector 1 and a voltage detector 2-voltage detector N, abnormal signal transmission terminals are arranged in the voltage detector 1 and the voltage detector 2-voltage detector N, and the voltage detector 1 and the voltage detector 2-voltage detector N are connected to each section of power transmission line in parallel.
4. The district operating condition monitoring and early warning system based on big data and artificial intelligence technology as claimed in claim 1, wherein: the alarm module (7) adopts a loudspeaker and a red LED lamp as an alarm unit.
5. The district operating condition monitoring and early warning system based on big data and artificial intelligence technology as claimed in claim 1, wherein: the background data processing terminal (3) adopts an FPGA chip as a main control chip, the FPGA chip is used for receiving power consumption information transmitted by the electric leakage monitoring terminal (1), comparing the obtained signal with the output power size and receiving an abnormal signal transmitted by the power-off alarm terminal (2).
6. The district operating condition monitoring and early warning system based on big data and artificial intelligence technology of claim 3, characterized in that: the voltage detector 1 and the voltage detector 2-the voltage detector N are respectively attached with an electronic tag, each electronic tag correspondingly marks different lines, and line information corresponding to each electronic tag is stored in an information storage end of the background data processing terminal (3).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011147085.8A CN112258765A (en) | 2020-10-23 | 2020-10-23 | District operating condition monitoring and early warning system based on big data and artificial intelligence technique |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011147085.8A CN112258765A (en) | 2020-10-23 | 2020-10-23 | District operating condition monitoring and early warning system based on big data and artificial intelligence technique |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112258765A true CN112258765A (en) | 2021-01-22 |
Family
ID=74264855
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011147085.8A Pending CN112258765A (en) | 2020-10-23 | 2020-10-23 | District operating condition monitoring and early warning system based on big data and artificial intelligence technique |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112258765A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114091708A (en) * | 2021-11-30 | 2022-02-25 | 国网安徽省电力有限公司阜阳供电公司 | Power supply service command system and command method based on multi-source data |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3616248B2 (en) * | 1998-04-09 | 2005-02-02 | 三菱電機株式会社 | Molds for resin-molded electrical equipment |
| CN201259524Y (en) * | 2008-06-20 | 2009-06-17 | 江苏省电力公司沭阳县供电公司 | High voltage open circuit positioning device |
| CN102968875A (en) * | 2012-11-19 | 2013-03-13 | 余姚市供电局 | Electric power platform area anti-theft early warning system and monitoring method thereof |
| CN104036357A (en) * | 2014-06-12 | 2014-09-10 | 国家电网公司 | Analysis method for electricity stealing behavioral mode of electricity utilization of user |
| CN104410169A (en) * | 2014-12-18 | 2015-03-11 | 国网四川大英县供电有限责任公司 | Intelligent and online area monitoring system and implementation method thereof |
| CN105023042A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | User electricity stealing suspicion analyzing device and method based on big data neural network algorithm |
| CN205139212U (en) * | 2015-11-10 | 2016-04-06 | 成都九十度工业产品设计有限公司 | Automatic pressure measurement ammeter |
| CN205355954U (en) * | 2016-01-19 | 2016-06-29 | 国网山东省电力公司乐陵市供电公司 | Low district's electric leakage management device of presenting a theatrical performance as last item on a programme |
| CN107832886A (en) * | 2017-11-09 | 2018-03-23 | 苏州大成电子科技有限公司 | A kind of method that big data supports Utilities Electric Co.'s operation and development |
| CN207408579U (en) * | 2017-07-18 | 2018-05-25 | 保定市宇创电气科技有限公司 | Low-voltage platform area intelligent diagnosing instrument |
| CN109800998A (en) * | 2019-01-30 | 2019-05-24 | 西安誉维信信息科技有限公司 | A kind of area's line loss management system of local electric network and method |
| CN109840646A (en) * | 2017-11-27 | 2019-06-04 | 国网辽宁省电力有限公司经济技术研究院 | Voltage monitoring method based on big data processing |
| CN209104902U (en) * | 2019-01-03 | 2019-07-12 | 云南电网有限责任公司临沧供电局 | A kind of monitoring device for distribute-electricity transformer district |
| CN110082645A (en) * | 2019-05-28 | 2019-08-02 | 广东电网有限责任公司 | A kind of area's stealing user's Check System |
| CN110829590A (en) * | 2019-10-10 | 2020-02-21 | 广州炫通电气科技有限公司 | Intelligent monitoring system, method, platform and storage medium for transformer area line loss |
| CN210225061U (en) * | 2019-05-20 | 2020-03-31 | 国网河南省电力公司漯河供电公司 | Low-voltage electric leakage online checking system |
| CN111157849A (en) * | 2020-01-09 | 2020-05-15 | 北京国电通网络技术有限公司 | Electricity larceny prevention monitoring system and method for line loss lean of transformer area |
-
2020
- 2020-10-23 CN CN202011147085.8A patent/CN112258765A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3616248B2 (en) * | 1998-04-09 | 2005-02-02 | 三菱電機株式会社 | Molds for resin-molded electrical equipment |
| CN201259524Y (en) * | 2008-06-20 | 2009-06-17 | 江苏省电力公司沭阳县供电公司 | High voltage open circuit positioning device |
| CN102968875A (en) * | 2012-11-19 | 2013-03-13 | 余姚市供电局 | Electric power platform area anti-theft early warning system and monitoring method thereof |
| CN104036357A (en) * | 2014-06-12 | 2014-09-10 | 国家电网公司 | Analysis method for electricity stealing behavioral mode of electricity utilization of user |
| CN104410169A (en) * | 2014-12-18 | 2015-03-11 | 国网四川大英县供电有限责任公司 | Intelligent and online area monitoring system and implementation method thereof |
| CN105023042A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | User electricity stealing suspicion analyzing device and method based on big data neural network algorithm |
| CN205139212U (en) * | 2015-11-10 | 2016-04-06 | 成都九十度工业产品设计有限公司 | Automatic pressure measurement ammeter |
| CN205355954U (en) * | 2016-01-19 | 2016-06-29 | 国网山东省电力公司乐陵市供电公司 | Low district's electric leakage management device of presenting a theatrical performance as last item on a programme |
| CN207408579U (en) * | 2017-07-18 | 2018-05-25 | 保定市宇创电气科技有限公司 | Low-voltage platform area intelligent diagnosing instrument |
| CN107832886A (en) * | 2017-11-09 | 2018-03-23 | 苏州大成电子科技有限公司 | A kind of method that big data supports Utilities Electric Co.'s operation and development |
| CN109840646A (en) * | 2017-11-27 | 2019-06-04 | 国网辽宁省电力有限公司经济技术研究院 | Voltage monitoring method based on big data processing |
| CN209104902U (en) * | 2019-01-03 | 2019-07-12 | 云南电网有限责任公司临沧供电局 | A kind of monitoring device for distribute-electricity transformer district |
| CN109800998A (en) * | 2019-01-30 | 2019-05-24 | 西安誉维信信息科技有限公司 | A kind of area's line loss management system of local electric network and method |
| CN210225061U (en) * | 2019-05-20 | 2020-03-31 | 国网河南省电力公司漯河供电公司 | Low-voltage electric leakage online checking system |
| CN110082645A (en) * | 2019-05-28 | 2019-08-02 | 广东电网有限责任公司 | A kind of area's stealing user's Check System |
| CN110829590A (en) * | 2019-10-10 | 2020-02-21 | 广州炫通电气科技有限公司 | Intelligent monitoring system, method, platform and storage medium for transformer area line loss |
| CN111157849A (en) * | 2020-01-09 | 2020-05-15 | 北京国电通网络技术有限公司 | Electricity larceny prevention monitoring system and method for line loss lean of transformer area |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114091708A (en) * | 2021-11-30 | 2022-02-25 | 国网安徽省电力有限公司阜阳供电公司 | Power supply service command system and command method based on multi-source data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN207692096U (en) | A kind of wisdom street lamp control system based on NB-IoT | |
| CN206601600U (en) | A kind of computer room comprehensive monitoring system | |
| CN105376534A (en) | Integrated electric power information communication monitoring platform based on wireless transmission technology | |
| TWI394962B (en) | A monitoring device for power grid | |
| CN105759096A (en) | Electricity larceny prevention apparatus for electric power meter box | |
| CN205544586U (en) | A real -time monitoring system for indoor substation | |
| CN106685089A (en) | Substation dispatching and monitoring system | |
| CN209676004U (en) | A kind of the wireless monitor detector and system of electric line safe operation | |
| CN106781594A (en) | Data signal acquisition and processing system | |
| CN107104479A (en) | A kind of portable power source for portable power source lease service | |
| CN112258765A (en) | District operating condition monitoring and early warning system based on big data and artificial intelligence technique | |
| CN109980782A (en) | A kind of the wireless monitor detector and system of electric line safe operation | |
| CN105914876A (en) | Electricity utilization inspection management system having electricity-stealing prevention function and management method thereof | |
| CN108199477A (en) | Substation's ac and dc systems fault remote intelligent control method and equipment | |
| CN110310502A (en) | A kind of fault self-checking system of electronic bus stop board | |
| CN110942654A (en) | Standby machine for monitoring annunciator | |
| CN106776193B (en) | The virtual measuring method of apparatus for monitoring power supply slave failure | |
| CN206115605U (en) | From taking fault detection to report an emergency and ask for help or increased vigilance electric power self -service terminal of function | |
| CN207263902U (en) | A kind of monitoring device of communication DC power supply | |
| CN102957211B (en) | Energy and electric power monitoring device | |
| CN205581252U (en) | Power system fault indicator | |
| CN207798983U (en) | A kind of electric power cable running state detecting device | |
| CN209860577U (en) | Electricity consumption facility leakage protection and electricity consumption safety monitoring system | |
| CN207867569U (en) | Electronic patrol system based on RFID | |
| CN204887653U (en) | Street lamp leakage detection system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210122 |
|
| RJ01 | Rejection of invention patent application after publication |