CN115360819A - Power equipment state monitoring system based on intelligent sensor network - Google Patents
Power equipment state monitoring system based on intelligent sensor network Download PDFInfo
- Publication number
- CN115360819A CN115360819A CN202210929622.7A CN202210929622A CN115360819A CN 115360819 A CN115360819 A CN 115360819A CN 202210929622 A CN202210929622 A CN 202210929622A CN 115360819 A CN115360819 A CN 115360819A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- module
- power equipment
- data
- state
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 94
- 238000003745 diagnosis Methods 0.000 claims abstract description 40
- 230000007547 defect Effects 0.000 claims abstract description 19
- 238000013480 data collection Methods 0.000 claims abstract description 15
- 230000008447 perception Effects 0.000 claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000011156 evaluation Methods 0.000 claims abstract description 4
- 230000036541 health Effects 0.000 claims abstract description 4
- 230000001052 transient effect Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 102100025142 Beta-microseminoprotein Human genes 0.000 claims description 3
- 101000576812 Homo sapiens Beta-microseminoprotein Proteins 0.000 claims description 3
- 239000013307 optical fiber Substances 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000004364 calculation method Methods 0.000 abstract description 4
- 238000013473 artificial intelligence Methods 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 description 9
- 230000009466 transformation Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000005611 electricity Effects 0.000 description 4
- 238000009413 insulation Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 238000002591 computed tomography Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Images
Classifications
-
- 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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
-
- 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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00016—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
- H02J13/00017—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus using optical fiber
-
- 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
- H02J2213/00—Indexing scheme relating to details of circuit arrangements for providing remote indication of network conditions of for circuit arrangements for providing remote control of switching means in a power distribution network
- H02J2213/10—Indexing scheme relating to details of circuit arrangements for providing remote indication of network conditions of for circuit arrangements for providing remote control of switching means in a power distribution network using simultaneously two or more different transmission means
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a power equipment state monitoring system based on an intelligent sensor network, which comprises: the system comprises a perception monitoring module, a data collection module, a network module and a platform diagnosis module, wherein the perception monitoring module monitors state parameters of the power equipment, the monitoring data are uploaded to the data collection module through the network module, the data collection module receives the monitoring data of the perception monitoring module and collects the monitoring data to the platform diagnosis module through the network module, the platform diagnosis module stores and analyzes the monitoring data, intelligent analysis and diagnosis are carried out on the health state of the monitored power equipment, and intelligent state evaluation application is achieved. The invention carries out on-line monitoring on different types of characteristic signals of the power equipment, integrates the sensing technology, artificial intelligence, edge calculation and cloud calculation, senses and analyzes the state of the equipment, timely and reliably discovers and eliminates the defects and hidden dangers of the equipment, realizes the state maintenance of the power equipment, avoids the equipment failure, and ensures the stable operation of the power equipment and the continuous and reliable power supply.
Description
Technical Field
The invention relates to the field of partial discharge power equipment monitoring, in particular to a power equipment state monitoring system based on an intelligent sensor network.
Background
With the comprehensive promotion of the equipment state maintenance strategy and the accelerated development of the intelligent power grid construction, the power transformation equipment state monitoring and fault diagnosis technology is widely applied. The safety, reliability and stability of the power transformation equipment state monitoring system and the accuracy of the measurement result directly influence the effective development of the state maintenance strategy and the visualization and effective monitoring of the equipment state. At present, various sensing technologies are applied more and more, and the effect is different. With the comprehensive promotion of the equipment state maintenance strategy and the accelerated development of the intelligent power grid construction, the power transformation equipment state monitoring and fault diagnosis technology is widely applied.
When the power transformation equipment is in normal operation and before and after a fault, multiple characteristic information such as electricity, sound, light, chemical and heat are usually accompanied, the fault of the power transformation equipment can cause power failure of a power grid and major economic loss, and the operation control of the power grid urgently needs to comprehensively sense the equipment state.
Disclosure of Invention
The invention aims to provide a power equipment state monitoring system based on an intelligent sensor network, which is used for solving the problems that the power equipment state monitoring system cannot acquire various partial discharge information, accurately analyzes and gives an alarm in time.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a power equipment state monitoring system based on an intelligent sensor network comprises: the system comprises a perception monitoring module, a data collection module, a network module and a platform diagnosis module, wherein the perception monitoring module monitors state parameters of the electric power equipment and uploads monitoring data to the data collection module through the network module, the data collection module receives the monitoring data of the perception monitoring module and collects the monitoring data to the platform diagnosis module through the network module, and the platform diagnosis module stores and analyzes the monitoring data, carries out intelligent analysis and diagnosis on the health state of the monitored electric power equipment and realizes intelligent state evaluation application.
Preferably, the sensing monitoring module comprises a partial discharge monitoring unit, a circuit breaker mechanical characteristic monitoring unit, a grounding current monitoring unit, a temperature monitoring unit, an SF6 gas density monitoring unit and a vibration monitoring unit.
Preferably, the platform diagnosis module comprises a state monitoring cloud platform unit and a user terminal, and the state monitoring cloud platform unit diagnoses the type and severity of the equipment defect and sends early warning information to the user terminal.
Preferably, the data collection module is provided with an edge computing kernel unit, and data can be accessed to the platform diagnosis module through a power wireless private network, a power APN channel and a power optical fiber network.
Preferably, the communication and power supply modes of the sensing and monitoring module include wired active mode, wireless active mode and wireless passive mode.
Preferably, the partial discharge monitoring unit includes an ultrasonic sensor, a transient ground voltage sensor, a high frequency sensor, and an ultrahigh frequency sensor.
Preferably, the platform diagnosis module displays the monitoring parameters and the states of the power equipment, and displays the variation trend of any parameter in any time period, the partial discharge real-time map and the defect type identification result according to the user requirements.
Preferably, the platform diagnosis module counts and displays the three-dimensional real-time PRPS map and the three-dimensional PRPD map of each channel to perform partial discharge type analysis.
Preferably, the platform diagnosis module is provided with a user interface, and the user interface includes: the system comprises a general overview previewing unit, a data detail display unit, a data trend display unit, a data map display unit, a diagnosis result display unit, an alarm information display unit and a system parameter setting unit.
Preferably, the platform diagnosis module can diagnose the type and severity of the equipment defect, actively push the early warning information, and enable a user to accurately master the running state of the power equipment in real time.
The invention carries out live detection or on-line monitoring on different characteristic signals of equipment, senses and analyzes the state of the equipment through a deep fusion sensing technology, artificial intelligence, edge calculation and cloud calculation, timely and reliably discovers and eliminates defects and hidden dangers of various types of equipment, assists operation and maintenance personnel to quickly troubleshoot and solve the equipment, further avoids equipment faults and power grid safety accidents caused by the equipment faults, further ensures the stable operation and the continuous and reliable power supply of power equipment, integrates the miniaturization, modularization, high performance and low power consumption into a whole, and is widely suitable for state overhaul and fault early warning of power generation, transmission, power transformation and power distribution equipment.
Drawings
FIG. 1 is a schematic diagram of the connection of the present invention.
Detailed Description
The technical solution of the present invention is further described below with reference to the following embodiments and the accompanying drawings.
Example 1
The embodiment provides a power equipment state monitoring system based on intelligent sensor network, includes: the system comprises a perception monitoring module, a data collection module, a network module and a platform diagnosis module, wherein the perception monitoring module monitors state parameters of the power equipment, the monitoring data are uploaded to the data collection module through the network module, the data collection module receives the monitoring data of the perception monitoring module and collects the monitoring data to the platform diagnosis module through the network module, the platform diagnosis module stores and analyzes the monitoring data, intelligent analysis and diagnosis are carried out on the health state of the monitored power equipment, and intelligent state evaluation application is achieved.
In a further embodiment of this embodiment, the sensing and monitoring module includes a partial discharge monitoring unit, a circuit breaker mechanical characteristic monitoring unit, a ground current monitoring unit, a temperature monitoring unit, an SF6 gas density monitoring unit, and a vibration monitoring unit.
In a further implementation manner of this embodiment, the platform diagnosis module includes a state monitoring cloud platform unit and a user terminal, and the state monitoring cloud platform unit diagnoses the type and severity of the equipment defect and sends early warning information to the user terminal; the alarm modes comprise threshold value alarm, change trend alarm and expert diagnosis alarm, and can be reminded through mails and short messages.
The platform diagnostic module is provided with a user interface, the user interface comprising: the system comprises a general overview previewing unit, a data detail display unit, a data trend display unit, a data map display unit, a diagnosis result display unit, an alarm information display unit and a system parameter setting unit; the overview preview display unit may display a primary wiring diagram, a primary equipment distribution diagram, and a sensor distribution diagram; the data detail display unit displays the measured values monitored by different monitoring units and the waveforms and maps monitored by diagnosis; and the data trend display unit displays the change trend and the comparison of the monitored values in any time period.
In a further implementation manner of this embodiment, the platform diagnosis module may diagnose the type and severity of the device defect, and actively push the early warning information, so that the user can accurately grasp the operating state of the power device in real time.
In a further implementation manner of this embodiment, the data collection module is provided with an edge computing kernel unit, and can access the platform diagnosis module through a power wireless private network, a power APN channel, and a power optical fiber network.
In a further embodiment of this embodiment, the communication and power supply connection modes of the sensing and monitoring module include wired active, wireless active, and wireless passive; the wired active transmission scheme provides power supply and communication through a POE network cable, data are collected and uploaded in real time, the stability is high, the data volume is large, the accuracy rate of defect type identification is high, maintenance is avoided in the later period, and the workload of installation and deployment is large; the wireless active transmission scheme has the advantages of real-time data acquisition and uploading, high stability, large data volume, high defect identification accuracy and maintenance-free later period, but needs to take electricity on site (such as secondary room electricity taking of a switch cabinet); the wireless passive scheme is that a built-in battery, solar energy or CT (computed tomography) coupling is used for taking electricity, the workload of installation and deployment is small, but the problems of small data volume and incapability of checking real-time data exist, and the battery needs to be replaced in 5-7 years.
In a further embodiment of this embodiment, the partial discharge monitoring unit includes an ultrasonic sensor, a transient voltage sensor, a high frequency sensor, and an ultrahigh frequency sensor; the detection bandwidth of the ultrahigh frequency sensor is 300-1500 MHz, the detection sensitivity is-80 dBm, and the dynamic range is 70dB; the detection bandwidth of the high-frequency sensor is 0.1-30 MHz, the detection sensitivity is 1mV, and the dynamic range is 1-5000 mV; transient voltage sensor detection bandwidth: 3-100 MHz, and the detection dynamic range is 70dB; the ultrasonic detection frequency band is 40 +/-1 kHz, and the detection dynamic range is 70dB; when the sensor is monitored abnormally, the platform diagnosis module prompts in a striking color or a popup window mode and the like, generates an alarm event, supports one-key report generation and sends alarm information through short messages/electronic mails.
In a further implementation manner of this embodiment, the platform diagnosis module displays the monitoring parameters and states of the power equipment, and displays a variation trend, a partial discharge real-time map, and a defect type identification result of any parameter in any time period according to user requirements.
In a further implementation manner of this embodiment, the platform diagnosis module counts and displays a three-dimensional real-time PRPS map and a three-dimensional PRPD map of each channel, and performs partial discharge type analysis on the type and severity of the equipment defect by using an artificial intelligence-based discharge type identification method; the discharge type identification algorithm is trained by more than 200 ten thousand groups of field real data acquired from field high-voltage equipment, has accurate identification capability on partial discharge types, and has the identification accuracy rate of over 95 percent. Aiming at the multi-partial discharge mixed signal, not only the noise signal but also the discharge signals from different defects can be separated by a pulse clustering method.
Application case 1
Aiming at the condition monitoring of GIS equipment, the problems of insulation damage, abnormal heating, mechanical part defects and the like in the GIS equipment are monitored by installing an ultrahigh frequency intelligent sensor, a contact type ultrasonic intelligent sensor, an SF6 gas density intelligent sensor and a breaker mechanical property intelligent sensor.
Application case 2
Aiming at the condition monitoring of the transformer equipment, the problems of insulation damage, vibration and the like in the transformer are reflected by installing an ultrahigh frequency intelligent sensor, a high frequency intelligent sensor, a contact type ultrasonic intelligent sensor, an iron core grounding current intelligent sensor and a vibration intelligent sensor.
Application case 3
Aiming at the state monitoring of switch cabinet equipment, the insulation defect, abnormal heating and mechanical part defect problems in the switch cabinet are monitored through an ultrasonic intelligent sensor, a transient ground voltage intelligent sensor, an ultrahigh frequency intelligent sensor, a high frequency intelligent sensor, an RFID wireless passive temperature measurement intelligent sensor and a circuit breaker mechanical characteristic intelligent sensor.
Aiming at the state monitoring of cable equipment, the problems of insulation damage, abnormal heating defects and the like in a cable are monitored through an ultrahigh frequency intelligent sensor, a high frequency intelligent sensor, a contact type ultrasonic intelligent sensor, a grounding current intelligent sensor and a CT temperature intelligent sensor on a cable connector or a terminal grounding wire.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides an electrical equipment state monitoring system based on intelligent sensor network which characterized in that includes: the system comprises a perception monitoring module, a data collection module, a network module and a platform diagnosis module, wherein the perception monitoring module monitors state parameters of the electric power equipment and uploads monitoring data to the data collection module through the network module, the data collection module receives the monitoring data of the perception monitoring module and collects the monitoring data to the platform diagnosis module through the network module, and the platform diagnosis module stores and analyzes the monitoring data, carries out intelligent analysis and diagnosis on the health state of the monitored electric power equipment and realizes intelligent state evaluation application.
2. The power equipment state monitoring system according to claim 1, wherein the sensing and monitoring module comprises a partial discharge monitoring unit, a circuit breaker mechanical characteristic monitoring unit, a ground current monitoring unit, a temperature monitoring unit, an SF6 gas density monitoring unit and a vibration monitoring unit.
3. The power equipment state monitoring system according to claim 1, wherein the platform diagnosis module comprises a state monitoring cloud platform unit and a user terminal, and the state monitoring cloud platform unit diagnoses types and severity of equipment defects and sends early warning information to the user terminal.
4. The power equipment state monitoring system of claim 1, wherein the data collection module is provided with an edge computing kernel unit, and data can be accessed to the platform diagnosis module through a power wireless private network, a power APN channel and a power optical fiber network.
5. The power device condition monitoring system of claim 1, wherein the communication and power supply modes of the perception monitoring module comprise wired active, wireless active and wireless passive.
6. The power device condition monitoring system of claim 2, wherein the partial discharge monitoring unit comprises an ultrasonic sensor, a transient voltage ground sensor, a high frequency sensor, and an ultra high frequency sensor.
7. The power equipment state monitoring system according to claim 1, wherein the platform diagnosis module displays monitoring parameters and states of the power equipment, and displays a variation trend, a partial discharge real-time map and a defect type identification result of any parameter in any time period according to user requirements.
8. The power equipment state monitoring system according to claim 1, wherein the platform diagnosis module counts and displays a three-dimensional real-time PRPS map and a three-dimensional PRPD map of each channel for partial discharge type analysis.
9. The power equipment condition monitoring system of claim 1, wherein the platform diagnostic module is provided with a user interface comprising: the system comprises a general overview previewing unit, a data detail display unit, a data trend display unit, a data map display unit, a diagnosis result display unit, an alarm information display unit and a system parameter setting unit.
10. The power equipment state monitoring system of claim 9, wherein the platform diagnosis module can diagnose the type and severity of the equipment defect, actively push early warning information, and enable a user to accurately grasp the operating state of the power equipment in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210929622.7A CN115360819A (en) | 2022-08-04 | 2022-08-04 | Power equipment state monitoring system based on intelligent sensor network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210929622.7A CN115360819A (en) | 2022-08-04 | 2022-08-04 | Power equipment state monitoring system based on intelligent sensor network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115360819A true CN115360819A (en) | 2022-11-18 |
Family
ID=84000936
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210929622.7A Pending CN115360819A (en) | 2022-08-04 | 2022-08-04 | Power equipment state monitoring system based on intelligent sensor network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115360819A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109324270A (en) * | 2018-08-07 | 2019-02-12 | 国网山东省电力公司淄博供电公司 | A kind of high-tension switch cabinet intelligent online monitoring system |
| CN113110386A (en) * | 2021-04-19 | 2021-07-13 | 重庆大学 | GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system |
| CN214622883U (en) * | 2021-01-25 | 2021-11-05 | 上海迈内能源科技有限公司 | Multi-parameter online partial discharge monitoring equipment installed inside switch cabinet |
| CN113904443A (en) * | 2021-09-28 | 2022-01-07 | 国网江苏省电力有限公司连云港供电分公司 | Multidimensional space visual field transformer equipment monitoring and early warning system |
-
2022
- 2022-08-04 CN CN202210929622.7A patent/CN115360819A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109324270A (en) * | 2018-08-07 | 2019-02-12 | 国网山东省电力公司淄博供电公司 | A kind of high-tension switch cabinet intelligent online monitoring system |
| CN214622883U (en) * | 2021-01-25 | 2021-11-05 | 上海迈内能源科技有限公司 | Multi-parameter online partial discharge monitoring equipment installed inside switch cabinet |
| CN113110386A (en) * | 2021-04-19 | 2021-07-13 | 重庆大学 | GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system |
| CN113904443A (en) * | 2021-09-28 | 2022-01-07 | 国网江苏省电力有限公司连云港供电分公司 | Multidimensional space visual field transformer equipment monitoring and early warning system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104716741B (en) | Transformer station's remote supervision system and remote monitoring method thereof | |
| CN104990629B (en) | A kind of electrical equipment fault automatic early-warning system of infrared imaging temperature measuring | |
| CN104977087B (en) | A kind of method of the electrical equipment fault automatic early-warning based on infrared imaging temperature measuring | |
| CN202929124U (en) | Substation high-voltage shunt capacitor intelligent online monitoring system | |
| CN210129012U (en) | Switch cabinet partial discharge monitoring and early warning device based on gas monitoring | |
| CN108490323A (en) | A kind of system and method for being handled transformer fault | |
| CN114383652A (en) | Method, system and device for identifying potential fault online risk of power distribution network | |
| CN108344917A (en) | The cross interconnected cable on-line fault diagnosis method of 110kV crosslinked polyethylenes based on method of loci | |
| CN116885716B (en) | Edge calculation-based low-voltage distribution network power quality situation awareness method and system | |
| CN110299758A (en) | A kind of comprehensive on-line monitoring and diagnosis system of substation | |
| CN205038280U (en) | Direct current current conversion station earthing pole on -line monitoring system | |
| CN204214974U (en) | High voltage power cable terminal on-Line Monitor Device | |
| CN105158657A (en) | High-voltage switch cabinet partial discharge online monitoring system | |
| CN203164360U (en) | Transformer device insulation online monitoring system | |
| CN116840619A (en) | High-voltage cable comprehensive monitoring and fault positioning system | |
| CN219018540U (en) | Multi-dimensional state detection equipment for switch cabinet | |
| CN115360819A (en) | Power equipment state monitoring system based on intelligent sensor network | |
| CN115656738A (en) | Online switch cabinet partial discharge monitoring system and method | |
| CN214310754U (en) | Circuit breaker partial discharge monitoring system | |
| CN114264902A (en) | Method and system for monitoring working state of lightning protection box, electronic equipment and storage medium | |
| CN112415261A (en) | Online monitoring system and method for line arrester | |
| CN112578311A (en) | Lightning arrester leakage current detection device and method | |
| CN220912359U (en) | Intelligent online monitoring system for comprehensive parameters of transformer | |
| CN220022412U (en) | Power distribution device for mine work | |
| CN216696450U (en) | Street lamp monitoring system with lightning stroke counting, analyzing and diagnosing functions |
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 |