CN206892253U - Insulator pollution monitoring system - Google Patents
Insulator pollution monitoring system Download PDFInfo
- Publication number
- CN206892253U CN206892253U CN201720103999.1U CN201720103999U CN206892253U CN 206892253 U CN206892253 U CN 206892253U CN 201720103999 U CN201720103999 U CN 201720103999U CN 206892253 U CN206892253 U CN 206892253U
- Authority
- CN
- China
- Prior art keywords
- module
- insulator
- neural network
- network prediction
- temperature
- 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.)
- Expired - Fee Related
Links
Landscapes
- Testing Relating To Insulation (AREA)
- Insulators (AREA)
Abstract
Insulator pollution monitoring system disclosed in the utility model, ultraviolet light detection module is set, temperature detecting module and humidity detecting module, insulator contamination EUV discharge signal is detected respectively, the humiture of insulator local environment, and EUV discharge signal and temperature-humidity signal are inputted to the BP neural network prediction module provided to prior art, provide the predicted value of equivalent salt deposit density, and under the control of controller module, sent by wireless sending module, in Control Room, wireless receiving module receives the equivalent salt deposit density data, staff checks in PC monitoring clients, monitoring, flashover occurs to prevent insulator by predicting equivalent salt deposit density, so that the utility model possesses predictability, with more practicality.
Description
Technical field
It the utility model is related to high-tension line monitoring, and in particular to insulator pollution monitoring system.
Background technology
Insulator is one of important component in transmission line of electricity, and the device that usage amount is maximum.For connecting wire
With shaft tower, and make to insulate between wire and wire, wire and shaft tower.The electric property of insulator is easily by the shadow of surface filth
Ring, produce failure, any one insulator string produces failure, can all influence the safe operation of transmission line of electricity, even result in whole line
The long-time on road, large-area power-cuts, the production development of safe operation, industrial or agricultural and the day of town dweller to whole power system
Often life causes tremendous influence.
Existing insulator pollution monitoring system, the output signal of the terminal of insulator is directly sampled, is filtered, amplitude
Compare, count, after the processing such as active rectification, operation amplifier, inputting to controller, pollution severity of insulators is judged by controller
Discharge scenario, the terminal output signal of insulator is directly gone directly to judge filthy discharge scenario, not as characteristic quantity
Information of forecasting can be provided, when monitoring data exception, has often missed the good opportunity for cleaning insulator, such insulator is dirty
Dirty monitoring system lacks practicality.
Utility model content
The utility model provides insulator pollution monitoring system, solves not have existing for existing insulator pollution monitoring system
It is standby predictive, the problem of causing to lack practicality.
The utility model solves the above problems by the following technical programs：
Insulator pollution monitoring system, including ultraviolet light detection module, temperature detecting module, humidity detecting module, BP god
Through neural network forecast module, controller module, wireless sending module, wireless receiving module and PC monitoring clients；
The output end of the ultraviolet light detection module is connected with the input all the way of BP neural network prediction module；The temperature
The output end of degree detection module is connected with the another way input of BP neural network prediction module；The humidity detecting module it is defeated
Go out end with the another road output end of BP neural network prediction module to be connected；The output end of the BP neural network prediction module and control
Device module processed is connected；The controller module is connected with wireless sending module；The wireless sending module and wireless receiving module
It is wireless to be connected；The wireless receiving module is connected with PC monitoring clients.
Further, in addition at least one full skirt, the full skirt are installed on transmission line, for blocking insulator, are subtracted
Few filthy attachment is on the insulator；
The full skirt is fixedly provided with installed part, the ultraviolet light detection module, temperature detecting module, humidity detecting module,
BP neural network prediction module, controller module and wireless sending module are arranged in the installed part.
Further, the ultraviolet light detection module mainly includes ultraviolet light transducer, the ultraviolet light transducer detection
Insulator EUV discharge signal, and the EUV discharge signal is inputted to BP neural network prediction module.
Further, the temperature detecting module is temperature sensor, ring residing for the temperature sensor detection insulator
The temperature in border, the temperature signal are inputted to BP neural network prediction module.
Further, the humidity detecting module is humidity sensor, ring residing for the humidity sensor detection insulator
The humidity in border, the moisture signal are inputted to BP neural network prediction module.
Compared with prior art, there are following features：
Ultraviolet light detection module, temperature detecting module and humidity detecting module are set, it is ultraviolet to detect insulator contamination respectively
The humiture of discharge signal, insulator local environment, and EUV discharge signal and temperature-humidity signal are inputted to prior art and carried
The BP neural network prediction module of confession, provides the predicted value of equivalent salt deposit density, and under the control of controller module, passes through nothing
Line sending module is sent, and in Control Room, wireless receiving module receives the equivalent salt deposit density data, and staff supervises in PC
Control end is checked, monitored, and flashover occurs to prevent insulator by predicting equivalent salt deposit density so that the utility model possesses prediction
Property, with more practicality.
Brief description of the drawings
Fig. 1 is the utility model structural principle block diagram.
Embodiment
The utility model is described in further detail with reference to embodiments, but the utility model is not limited to these implementations
Example.
Insulator pollution monitoring system, including ultraviolet light detection module, temperature detecting module, humidity detecting module, BP god
Through neural network forecast module, controller module, wireless sending module, wireless receiving module and PC monitoring clients；The ultraviolet light inspection
The output end for surveying module is connected with the input all the way of BP neural network prediction module；The output end of the temperature detecting module with
The another way input of BP neural network prediction module is connected；The output end of the humidity detecting module is predicted with BP neural network
The another road output end of module is connected；The output end of the BP neural network prediction module is connected with controller module；The control
Device module processed is connected with wireless sending module；The wireless sending module is wirelessly connected with wireless receiving module；It is described wirelessly to connect
Module is received with PC monitoring clients to be connected.
The ultraviolet light detection module mainly includes ultraviolet light transducer, and the ultraviolet light transducer detects insulator contamination
EUV discharge signal, and the EUV discharge signal is inputted to BP neural network prediction module.UV sensor utilizes light
Quick element, the UV signal for being sent insulator contamination by photovoltaic mode and guided optical mode are converted to measurable electric signal,
And the electric signal is inputted into BP neural network prediction module.
The temperature detecting module is temperature sensor, the temperature of the temperature sensor detection insulator local environment,
The temperature signal is inputted to BP neural network prediction module.Temperature sensor senses the temperature of insulator local environment, and turns
Electric signal is changed to, the electric signal is inputted into BP neural network prediction module.
The humidity detecting module is humidity sensor, the humidity of the humidity sensor detection insulator local environment,
The moisture signal is inputted to BP neural network prediction module.Humidity sensor senses the humidity of insulator local environment, and turns
Electric signal is changed to, the electric signal is inputted into BP neural network prediction module.
Equivalent salt deposit density is and conductive materials content phase in the filth adhered on insulator surface area every square centimeter
When sodium chloride number, it can characterize the pollution level of insulator surface well, and the requirement to personnel and equipment is also very low, technology
On be easier to realize, therefore equivalent salt deposit density is comparatively ideal insulator dirty degree characteristic quantity.
The EUV discharge signal of insulator contamination can react the change of equivalent salt deposit density, and humidity can be to EUV discharge signal
Have an impact, and certain association be present in temperature and humidity, therefore, by residing for the ultraviolet anti-electric signal of insulator contamination, insulator
Input signal of the humiture of environment as BP neural network prediction module, for judging insulator equivalent salt density.
BP neural network prediction module is existing computer program, and the utility model does not make improvements.BP nerves
Neural network forecast module establishes three Internets, input layer, hidden layer and output layer.Input layer is three input signals, i.e., ultraviolet
Discharge signal, temperature signal and moisture signal, hidden layer enter line activating, the equivalent attached salt of output layer output using S type activation primitives
Density, line activating is entered using linear activation primitive, quota sample insulator, monitors and obtain three input signals to enter as sample
Row normalized and model training.During practical application, three monitoring signals are inputted to BP neural network prediction module, BP nerves
Neural network forecast module directly gives the equivalent salt deposit density value of prediction.
Further comprise at least one full skirt, the full skirt is installed on transmission line, for blocking insulator, is reduced dirty
Dirty attachment on the insulator, extends the useful life of insulator.The full skirt is fixedly provided with installed part, and the ultraviolet light detects mould
Block, temperature detecting module, humidity detecting module, BP neural network predictions module, controller module and wireless sending module installation
In the installed part, maintain that each module is normal, stable operation.
The course of work of the present utility model is：Ultraviolet light detection module obtains the EUV discharge signal of insulator contamination, temperature
The temperature signal that detection module obtains insulator local environment is spent, humidity detecting module obtains the humidity letter of insulator local environment
Number, three signals are inputted to BP neural network prediction module, and the equivalent attached salt that prediction is provided by BP neural network prediction module is close
Angle value, the equivalence are perfunctory to density value under the control of controller module, sent through wireless sending module into wireless receiving module,
And PC monitoring clients are finally-transmitted to, staff obtains the equivalent salt deposit density predicted value of each insulator contamination in PC monitoring clients,
Taken action in time according to predicted value, avoid insulator because of the filthy operation for influenceing power system.
Claims (5)
1. insulator pollution monitoring system, it is characterised in that：
Including ultraviolet light detection module, temperature detecting module, humidity detecting module, BP neural network prediction module, controller mould
Block, wireless sending module, wireless receiving module and PC monitoring clients；
The output end of the ultraviolet light detection module is connected with the input all the way of BP neural network prediction module；The temperature inspection
The output end for surveying module is connected with the another way input of BP neural network prediction module；The output end of the humidity detecting module
It is connected with the another road output end of BP neural network prediction module；The output end and controller of the BP neural network prediction module
Module is connected；The controller module is connected with wireless sending module；The wireless sending module and wireless receiving module are wireless
It is connected；The wireless receiving module is connected with PC monitoring clients.
2. insulator pollution monitoring system according to claim 1, it is characterised in that：
Further comprise at least one full skirt, the full skirt is installed on transmission line, for blocking insulator, is reduced filthy attached
On the insulator；
The full skirt is fixedly provided with installed part, the ultraviolet light detection module, temperature detecting module, humidity detecting module, BP god
It is arranged on through neural network forecast module, controller module and wireless sending module in the installed part.
3. insulator pollution monitoring system according to claim 1, it is characterised in that：
The ultraviolet light detection module mainly includes ultraviolet light transducer, and the ultraviolet light transducer detection insulator contamination is ultraviolet
Discharge signal, and the EUV discharge signal is inputted to BP neural network prediction module.
4. insulator pollution monitoring system according to claim 1, it is characterised in that：
The temperature detecting module is temperature sensor, the temperature of the temperature sensor detection insulator local environment, described
Temperature signal is inputted to BP neural network prediction module.
5. insulator pollution monitoring system according to claim 1, it is characterised in that：
The humidity detecting module is humidity sensor, the humidity of the humidity sensor detection insulator local environment, described
Moisture signal is inputted to BP neural network prediction module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720103999.1U CN206892253U (en) | 2017-01-24 | 2017-01-24 | Insulator pollution monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720103999.1U CN206892253U (en) | 2017-01-24 | 2017-01-24 | Insulator pollution monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN206892253U true CN206892253U (en) | 2018-01-16 |
Family
ID=61328218
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201720103999.1U Expired - Fee Related CN206892253U (en) | 2017-01-24 | 2017-01-24 | Insulator pollution monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN206892253U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106597240A (en) * | 2017-01-24 | 2017-04-26 | 桂林师范高等专科学校 | Insulator contamination monitoring system |
| CN113125908A (en) * | 2021-04-16 | 2021-07-16 | 华北电力大学 | Insulator contamination degree diagnosis device and detection method thereof |
-
2017
- 2017-01-24 CN CN201720103999.1U patent/CN206892253U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106597240A (en) * | 2017-01-24 | 2017-04-26 | 桂林师范高等专科学校 | Insulator contamination monitoring system |
| CN113125908A (en) * | 2021-04-16 | 2021-07-16 | 华北电力大学 | Insulator contamination degree diagnosis device and detection method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202471872U (en) | Dirt online monitoring system of power transmission line insulator | |
| CN104091413B (en) | A kind of flood control rainwater feelings automatic monitoring method | |
| CN204330025U (en) | Overground cable security of operation online monitoring system | |
| CN204465736U (en) | A kind of power transmission line intelligent long distance control system based on Internet of Things | |
| CN105334811A (en) | Wireless tower monitoring method of power lines based on ZigBee network | |
| CN201773080U (en) | Insulator contamination online monitoring system | |
| CN104581087A (en) | Intelligent remote monitoring system of power transmission line on basis of internet of things | |
| CN105987283B (en) | Natural gas line cathodic protection remote monitoring device based on SCADA system | |
| CN102608381A (en) | Systems, methods, and apparatus for detecting lightning strikes | |
| CN101614602A (en) | Electricity transmission line monitoring method and device | |
| CN105093047B (en) | Power circuit load monitoring early warning system | |
| CN104237467A (en) | Online monitoring system for state of insulator contamination | |
| CN101929972A (en) | Insulator contamination on-line monitoring system | |
| CN206892253U (en) | Insulator pollution monitoring system | |
| CN207409918U (en) | A kind of intelligent patrol detection device of transmission line of electricity | |
| US20230194592A1 (en) | Leakage and flashover current monitoring system in vhv overhead line insulators | |
| CN106707056A (en) | Intelligent online monitoring system of lightning arrester based on Internet of Things technology | |
| CN107515342A (en) | A kind of power distribution network outage analysis based on big data, early warning system | |
| CN105112921A (en) | Intelligent anti-corrosion protecting and monitoring system of grounding network | |
| CN109444675A (en) | Transmission line malfunction monitors system | |
| CN102879050A (en) | Water level and temperature online monitoring system for direct current grounding electrode detection well | |
| CN108225580A (en) | A kind of power cable temperature-measurindevice device and temp measuring method | |
| CN201233385Y (en) | Insulator dirt on-line detecting instrument | |
| CN112363029A (en) | Equipment corona discharge online monitoring system and monitoring method thereof | |
| KR20180031454A (en) | Appartus and method monitoring insulator strings |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180116 Termination date: 20210124 |