CN105784192A - Method for monitoring power equipment in cable pit online through optical fiber sensing technology - Google Patents
Method for monitoring power equipment in cable pit online through optical fiber sensing technology Download PDFInfo
- Publication number
- CN105784192A CN105784192A CN201610205170.2A CN201610205170A CN105784192A CN 105784192 A CN105784192 A CN 105784192A CN 201610205170 A CN201610205170 A CN 201610205170A CN 105784192 A CN105784192 A CN 105784192A
- Authority
- CN
- China
- Prior art keywords
- cable
- data
- optical fiber
- equipment
- sensing technology
- 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
- 239000013307 optical fiber Substances 0.000 title claims abstract description 21
- 238000012544 monitoring process Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000005516 engineering process Methods 0.000 title claims abstract description 16
- 230000003287 optical effect Effects 0.000 claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 239000000835 fiber Substances 0.000 claims description 18
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000036760 body temperature Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000007654 immersion Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 238000004611 spectroscopical analysis Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 6
- 230000005856 abnormality Effects 0.000 abstract 2
- 238000007670 refining Methods 0.000 abstract 1
- 230000003595 spectral effect Effects 0.000 abstract 1
- 238000010276 construction Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K11/00—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
- G01K11/32—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/22—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water
- G01F23/28—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water by measuring the variations of parameters of electromagnetic or acoustic waves applied directly to the liquid or fluent solid material
- G01F23/284—Electromagnetic waves
- G01F23/292—Light, e.g. infrared or ultraviolet
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Thermal Sciences (AREA)
- Fluid Mechanics (AREA)
- Alarm Systems (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Selective Calling Equipment (AREA)
Abstract
The invention discloses a method for monitoring power equipment in a cable pit online through an optical fiber sensing technology, comprising the following steps: optical fiber sensors are installed in a cable pit, and an optical cable is laid into a nearest station and connected to computer control equipment; the computer control equipment analyzes spectral data according to parameter characteristics, and acquires monitoring values of the sensors; the monitoring data is accessed to the Intranet of the power company and collected into an 'intelligent operation and maintenance control platform', and the data is analyzed and judged according to a cable refining module algorithm model to get working state data of equipment in the cable pit; and fault analysis or maintenance analysis is made on the field equipment according to the working state data of the equipment, and alarm information is produced in a timely manner if abnormality is found. According to the method, the working states of field equipment bodies and channels are analyzed and judged based on monitoring data acquired on site and in real time and according to the control logic of the algorithm model, abnormality is found and the alarm is raised in a timely manner, the work efficiency of operation and maintenance is improved, and the work intensity of operation and maintenance personnel is reduced.
Description
Technical field
The invention belongs to power domain, relate to a kind of method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology.
Background technology
Intelligent distribution network is basic link and the important component part of intelligent grid construction, is collection source and the command executing unit of electrical network basis service data, is also the new stage of distribution network automated technical development simultaneously.Along with the technology of Internet of things deep utilization in operation of power networks field, the details of cable body and passage can be obtained in cable shaft in real time by Fibre Optical Sensor, by data analysis and judgement, timely unusual circumstance, advance power distribution network intelligent construction well.
Relative to current power distribution network detection technique, the Heterosis of intelligent distribution network is: the real-time of device data acquisition, hidden danger information active obtaining, data shared resources, and the system expandability is strong, and the intelligent level of senior application is high.In current intelligent grid process of construction,, multiple spot hidden because distribution net equipment has a very wide distribution and disperse and the not easily power taking of monitoring equipment, distribution net equipment working state monitoring and patrol and examine work and be always up weak link, although senior application is also applied in distribution network system, but still intelligent not.
Summary of the invention
It is an object of the invention to provide a kind of method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology, the method is by the duty of Fibre Optical Sensor detection cable shaft power equipment body and passage, it is transferred to Utilities Electric Co.'s inner net computer software controlled device by fiber optic network to resolve, the duty of field apparatus body and passage is analyzed according to the management and control logic of algorithm model and judges by the Monitoring Data obtained in real time at scene, timely unusual circumstance also produces alarm, promote the work efficiency of O&M service work, alleviate operation maintenance personnel working strength.
The purpose of the present invention is achieved through the following technical solutions:
A kind of method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology, it is characterised in that the method comprises the following steps:
1) installing Fibre Optical Sensor in cable shaft, laying optical cable, to station nearby, is connected to computerized equipment；
2) computerized equipment resolves spectroscopic data according to each parameter characteristic, obtains Sensor monitoring value；
3) Monitoring Data accesses Utilities Electric Co. Intranet, first collects " intelligence fortune inspection control platform ", according to cable lean modular algorithm model data is analyzed and judges, drawing equipment working state data in cable shaft；
4) according to equipment working state data, field apparatus carried out accident analysis or examining and analyzing, it has been found that abnormal conditions produce warning information in time.
In the present invention, Fibre Optical Sensor includes: measures the cable optic fibre temperature sensor of cable body temperature, measure the environment fibre-optical temperature sensor of well environment temperature, optical fiber level sensor.Optical cable carries out the molten fibre of tail optical fiber and is connected with Fibre Optical Sensor and computerized equipment.
Further, according to cable lean modular algorithm model data it is analyzed and judges: the data that algorithm model participates in calculating have the Monitoring Data of Real-time Collection in cable shaft, weather data, rainfall data, circuit Real-time Load information, Unit account of plant information, it is divided into cable immersion and does not soak (obtaining according to water level conditions and machine account information) two models to be calculated, when cable is immersed in the water, consider the specific heat tolerance of water and air, make corresponding compensation, thus drawing correct result of calculation.
Account information includes the essential informations such as the title of equipment, rated current, rated voltage, model, manufacturer and the extension information possessed according to device type difference.
Fibre Optical Sensor is installed in cable shaft of the present invention, without power taking, the duty of cable shaft power equipment body and passage is detected by optical fiber sensing technology, by fiber optic network, Monitoring Data is transferred to Utilities Electric Co.'s Intranet, the duty of field apparatus body and passage is analyzed according to the management and control logic of algorithm model and judges by the Monitoring Data obtained in real time at scene, timely unusual circumstance also produces alarm, promotes the work efficiency of O&M service work, alleviates operation maintenance personnel working strength.
The method not only achieves intelligent network distribution and monitors in real time and hidden danger situation active reporting, and intelligent level is also adapted to and the current and following intelligent power distribution net construction.
Accompanying drawing explanation
Fig. 1 obtains the flow chart of equipment and ambient parameter in cable shaft by optical fiber sensing technology.
Detailed description of the invention
A kind of method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology, comprises the following steps:
1) sensor installed in cable shaft includes measuring the fibre optic temperature sensor of cable body temperature, measuring the fibre optic temperature sensor of well environment temperature, optical fiber level sensor etc..Optical cable carries out the molten fibre of tail optical fiber and is connected with sensor and computerized equipment.
Laying optical cable, to station nearby, is connected to computerized equipment；
2) computerized equipment resolves spectroscopic data according to each parameter characteristic, obtains Sensor monitoring value；
3) Monitoring Data accesses Utilities Electric Co. Intranet, first collects " intelligence fortune inspection control platform ", according to cable lean modular algorithm model data is analyzed and judges, drawing equipment working state data in cable shaft；The data that algorithm model participates in calculating have the Monitoring Data of Real-time Collection in cable shaft, weather data, rainfall data, circuit Real-time Load information, Unit account of plant information etc., it is divided into cable immersion and does not soak (obtaining according to water level conditions and machine account information) two models to be calculated, when cable is immersed in the water, consider the specific heat tolerance of water and air, make corresponding compensation, thus drawing correct result of calculation.Account information includes the essential informations such as the title of equipment, rated current, rated voltage, model, manufacturer and the extension information possessed according to device type difference.
4) according to equipment working state data, field apparatus carried out accident analysis or examining and analyzing, it has been found that abnormal conditions produce warning information in time.
Claims (5)
1. the method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology, it is characterised in that the method comprises the following steps:
1) installing Fibre Optical Sensor in cable shaft, laying optical cable, to station nearby, is connected to computerized equipment；
2) computerized equipment resolves spectroscopic data according to each parameter characteristic, obtains Sensor monitoring value；
3) Monitoring Data accesses Utilities Electric Co. Intranet, first collects " intelligence fortune inspection control platform ", according to cable lean modular algorithm model data is analyzed and judges, drawing equipment working state data in cable shaft；
4) according to equipment working state data, field apparatus carried out accident analysis or examining and analyzing, it has been found that abnormal conditions produce warning information in time.
2. the method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology according to claim 1, it is characterised in that:
In step 1), Fibre Optical Sensor includes: measures the cable optic fibre temperature sensor of cable body temperature, measure the environment fibre-optical temperature sensor of well environment temperature, optical fiber level sensor.
3. the method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology according to claim 1, it is characterised in that: in light step 1), optical cable carries out the molten fibre of tail optical fiber and is connected with Fibre Optical Sensor and computerized equipment.
4. the method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology according to claim 1, it is characterized in that: in step 3), according to cable lean modular algorithm model data it is analyzed and judges: the data that algorithm model participates in calculating have the Monitoring Data of Real-time Collection in cable shaft, weather data, rainfall data, circuit Real-time Load information, Unit account of plant information, it is divided into cable immersion to be calculated with two models that do not soak, when cable is immersed in the water, consider the specific heat tolerance of water and air, make corresponding compensation, thus drawing correct result of calculation.
5. the method realizing cable shaft electrical equipment online supervision by optical fiber sensing technology according to claim 4, it is characterised in that: Unit account of plant information includes the title of equipment, rated current, rated voltage, model, manufacturer and the extension information possessed according to device type difference.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610205170.2A CN105784192A (en) | 2016-04-05 | 2016-04-05 | Method for monitoring power equipment in cable pit online through optical fiber sensing technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610205170.2A CN105784192A (en) | 2016-04-05 | 2016-04-05 | Method for monitoring power equipment in cable pit online through optical fiber sensing technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105784192A true CN105784192A (en) | 2016-07-20 |
Family
ID=56394738
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610205170.2A Pending CN105784192A (en) | 2016-04-05 | 2016-04-05 | Method for monitoring power equipment in cable pit online through optical fiber sensing technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105784192A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113438019A (en) * | 2021-06-16 | 2021-09-24 | 国网河北省电力有限公司邯郸供电分公司 | Method for detecting running state of communication optical cable |
| CN115389855A (en) * | 2022-10-26 | 2022-11-25 | 高勘(广州)技术有限公司 | Method and system for monitoring cable equipment |
| CN118244058A (en) * | 2024-05-29 | 2024-06-25 | 上海兴兴泰港机技术发展有限公司 | Cable fault detection system |
| CN118244058B (en) * | 2024-05-29 | 2024-09-27 | 上海兴兴泰港机技术发展有限公司 | Cable fault detection system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201867463U (en) * | 2010-11-30 | 2011-06-15 | 山东电力集团公司菏泽供电公司 | Intelligent cable duct or pit on-line monitoring system |
| US7965178B1 (en) * | 2005-09-26 | 2011-06-21 | Schmutter Bruce E | System and method for integrated facility and fireground management |
| CN102866313A (en) * | 2012-09-10 | 2013-01-09 | 山东康威通信技术股份有限公司 | Power tunnel cable running state comprehensive monitoring method |
| CN203070069U (en) * | 2013-01-28 | 2013-07-17 | 时翔 | Integrated monitoring system for power cable tunnel |
| CN103346620A (en) * | 2013-07-22 | 2013-10-09 | 国家电网公司 | Cable temperature monitoring system based on distribution type optical fiber temperature detection sensor |
-
2016
- 2016-04-05 CN CN201610205170.2A patent/CN105784192A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7965178B1 (en) * | 2005-09-26 | 2011-06-21 | Schmutter Bruce E | System and method for integrated facility and fireground management |
| CN201867463U (en) * | 2010-11-30 | 2011-06-15 | 山东电力集团公司菏泽供电公司 | Intelligent cable duct or pit on-line monitoring system |
| CN102866313A (en) * | 2012-09-10 | 2013-01-09 | 山东康威通信技术股份有限公司 | Power tunnel cable running state comprehensive monitoring method |
| CN203070069U (en) * | 2013-01-28 | 2013-07-17 | 时翔 | Integrated monitoring system for power cable tunnel |
| CN103346620A (en) * | 2013-07-22 | 2013-10-09 | 国家电网公司 | Cable temperature monitoring system based on distribution type optical fiber temperature detection sensor |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113438019A (en) * | 2021-06-16 | 2021-09-24 | 国网河北省电力有限公司邯郸供电分公司 | Method for detecting running state of communication optical cable |
| CN115389855A (en) * | 2022-10-26 | 2022-11-25 | 高勘(广州)技术有限公司 | Method and system for monitoring cable equipment |
| CN118244058A (en) * | 2024-05-29 | 2024-06-25 | 上海兴兴泰港机技术发展有限公司 | Cable fault detection system |
| CN118244058B (en) * | 2024-05-29 | 2024-09-27 | 上海兴兴泰港机技术发展有限公司 | Cable fault detection system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107167497B (en) | Equipment fault detection method and system | |
| CN104767482B (en) | A kind of photovoltaic module is aging and short trouble inline diagnosis method | |
| CN105426980B (en) | Power distribution network health index assessment engineering application system | |
| CN103234585A (en) | Online monitoring and fault diagnosis system of large wind turbine units | |
| CN111143447B (en) | Dynamic monitoring early warning decision system and method for weak links of power grid | |
| CN116207845B (en) | Automatic monitoring method and system for protecting power equipment | |
| CN103711645A (en) | Wind generating set state evaluation method based on modeling parameter feature analysis | |
| CN102541013A (en) | Remote monitoring, early warning and fault-diagnosing system and method for anodic protection device | |
| Barksdale et al. | Condition monitoring of electrical machines with Internet of Things | |
| CN110032093A (en) | A kind of engineering Electrical Safety management method of view-based access control model Internet of Things | |
| CN105867267A (en) | Method for automatically reporting instrument readings of distribution station room through image identification technology | |
| CN115238915A (en) | Industrial equipment fault prediction and health monitoring system | |
| CN105719094A (en) | State evaluation method of power transmission equipment | |
| CN109285331B (en) | Power cable temperature early warning system based on data analysis and temperature prediction | |
| CN105784192A (en) | Method for monitoring power equipment in cable pit online through optical fiber sensing technology | |
| KR102634956B1 (en) | Solar power generation facility full cycle follow-up management method and system by AI-based big data analysis | |
| CN114274143A (en) | Intelligent identification method for centralized control operation defect image of intelligent robot group in thermal power plant | |
| CN117390944A (en) | Substation operation condition simulation system | |
| CN117743794A (en) | Distributed photovoltaic power station fault diagnosis and efficiency loss evaluation system | |
| CN202433761U (en) | Remote monitoring, warning and fault diagnosis system of anode protecting device based on Internet of things | |
| CN114709923A (en) | Intelligent fault judgment method for power Internet of things | |
| CN114511209A (en) | Optical fiber cable link quality evaluation method and device, electronic equipment and storage medium | |
| CN114062923A (en) | Motor fault online advanced early warning system based on current magnetic signal and higher harmonic diagnosis technology | |
| CN113596076A (en) | Internet of things information aggregation method applied to smart power grid | |
| CN111959281A (en) | Electric bicycle battery safety management system based on thing networking |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160720 |