CN111537079A - Substation equipment running state monitoring system based on infrared imaging technology - Google Patents
Substation equipment running state monitoring system based on infrared imaging technology Download PDFInfo
- Publication number
- CN111537079A CN111537079A CN202010434848.0A CN202010434848A CN111537079A CN 111537079 A CN111537079 A CN 111537079A CN 202010434848 A CN202010434848 A CN 202010434848A CN 111537079 A CN111537079 A CN 111537079A
- Authority
- CN
- China
- Prior art keywords
- module
- cloud server
- image
- intelligent hardware
- equipment
- 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 23
- 238000005516 engineering process Methods 0.000 title claims abstract description 15
- 238000003331 infrared imaging Methods 0.000 title claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 17
- 238000011156 evaluation Methods 0.000 claims abstract description 14
- 238000013210 evaluation model Methods 0.000 claims abstract description 8
- 230000009466 transformation Effects 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims abstract description 4
- 238000012423 maintenance Methods 0.000 claims description 14
- 238000013079 data visualisation Methods 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 6
- 238000011157 data evaluation Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims 1
- 238000001514 detection method Methods 0.000 abstract description 4
- 238000013461 design Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000000463 material Substances 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
- 238000012800 visualization Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
- G06F18/24155—Bayesian classification
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Probability & Statistics with Applications (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
- Gas-Insulated Switchgears (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
The invention discloses a power transformation equipment running state monitoring system based on an infrared imaging technology, which comprises an intelligent hardware terminal, a cloud server module and a client terminal module; the intelligent hardware terminal comprises an image acquisition module, an image processing module and a data communication module, wherein the image acquisition module is used for acquiring an operating temperature image of the electrical equipment, the image processing module is used for processing the acquired temperature image, and the data communication module is connected with the cloud server module and is used for realizing data transmission between the intelligent hardware terminal and the cloud server module; the cloud server module comprises a local area network and a cloud server, the local area network is connected with the intelligent hardware terminal and used for transmitting data of the intelligent hardware terminal to the cloud server, and a background program and a state evaluation model are deployed on the server and used for further processing the temperature image to obtain a more accurate evaluation result; the invention improves the detection precision and saves the cost.
Description
Technical Field
The invention relates to the technical field of power equipment detection, in particular to a transformer equipment running state monitoring system based on an infrared imaging technology.
Background
The operation state of the power transformation equipment plays a decisive role in the safety of the transformer substation, the current main maintenance mode of the power transformation equipment is the regular power-off maintenance, the power-off maintenance is needed when the maintenance mode is adopted, inconvenience is brought to the life of people, the regular maintenance has the situations of excessive maintenance and insufficient maintenance, namely, the equipment which runs well is overhauled blindly, and the waste of manpower and material resources is caused; the overhaul degree of the over-running electrical equipment is not enough, and potential safety hazards are left. The invention provides a power transformation equipment running state monitoring system based on an infrared imaging technology, which can improve the evaluation precision and save the cost without power failure maintenance.
Disclosure of Invention
The invention aims to provide a transformer equipment running state monitoring system based on an infrared imaging technology to solve the problems in the prior art.
The technical problem solved by the invention can be realized by adopting the following technical scheme:
a transformer equipment running state monitoring system based on an infrared imaging technology comprises an intelligent hardware terminal, a cloud server module and a client terminal module;
the intelligent hardware terminal comprises an image acquisition module, an image processing module and a data communication module, wherein the image acquisition module is used for acquiring an operating temperature image of the electrical equipment, the image processing module is used for processing the acquired temperature image, and the data communication module is connected with the cloud server module and is used for realizing data transmission between the intelligent hardware terminal and the cloud server module;
the cloud server module comprises a local area network and a cloud server, the local area network is connected with the intelligent hardware terminal and used for transmitting data of the intelligent hardware terminal to the cloud server, and a background program and a state evaluation model are deployed on the server and used for further processing the temperature image to obtain a more accurate evaluation result;
and the client terminal module is connected with the cloud server module and is used for controlling and monitoring the intelligent hardware terminal and the cloud server terminal.
Furthermore, the image acquisition module adopts an infrared thermal imager.
Furthermore, an RS485/RS232 communication interface is arranged on the data communication module, an RS485 bus is connected with the local area network, and the RS232 interface is connected with the infrared thermal imager.
Furthermore, the client terminal module comprises a monitoring management center, and the monitoring management center is provided with a data visualization interface and can monitor the state of the electrical equipment in real time.
A transformer equipment running state supervision method based on an infrared imaging technology is characterized by comprising the following steps: the method comprises the following steps:
1) acquiring a temperature image of the substation equipment through an infrared thermal imager in an image acquisition module;
2) uploading the temperature image acquired by the image acquisition to an image processing module, preprocessing the acquired image, improving the image quality to highlight an equipment target, segmenting the target, selecting image characteristics, and identifying by using a model identification algorithm;
3) transmitting the processed image to a cloud server, and correcting and evaluating the measured image information by adopting a data evaluation model to obtain a more accurate state evaluation result;
4) transmitting the state evaluation result to a client terminal, displaying the state evaluation result on a data visualization interface, grading the running state of the electrical equipment into A, B, C grades, wherein the grade C represents that the electrical equipment has major faults and needs to be immediately overhauled; the equipment represented by the B level has potential safety hazard, but the condition is not endangered, and the equipment needs to be mainly checked during maintenance; a indicates that the electrical equipment is in good operation condition and does not need to be detected.
Compared with the prior art, the invention has the beneficial effects that:
1. the infrared imaging technology is adopted to monitor the electrical equipment in real time, so that the labor cost is saved.
2. The Bayesian network based on the pair-Copula model is adopted to establish the evaluation model, so that the method has higher accuracy and practicability.
3. Background programs and state evaluation models are deployed in the public cloud, and therefore capital construction cost and operation and maintenance cost are saved.
Drawings
Fig. 1 is a schematic structural diagram of a monitoring system according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Referring to fig. 1, a transformer equipment operating state monitoring system based on an infrared imaging technology includes an intelligent hardware terminal, a cloud server module and a client terminal module;
the intelligent hardware terminal comprises an image acquisition module, an image processing module and a data communication module, wherein the image acquisition module is used for acquiring an operating temperature image of the electrical equipment, the image processing module is used for processing the acquired temperature image, and the data communication module is connected with the cloud server module and is used for realizing data transmission between the intelligent hardware terminal and the cloud server module;
the cloud server module comprises a local area network and a cloud server, the local area network is connected with the intelligent hardware terminal and used for transmitting data of the intelligent hardware terminal to the cloud server, and a background program and a state evaluation model are deployed on the server and used for further processing the temperature image to obtain a more accurate evaluation result; in this embodiment, the state estimation model adopts a bayesian network based on a pair-Copula model, and is used for correcting temperature data of a measurement area, so as to improve data accuracy and obtain a more accurate state estimation result;
in this embodiment, the background management program and the state monitoring model are deployed in the airy cloud, so that the infrastructure cost and the operation and maintenance cost are saved, the client terminal or the hardware terminal accesses a website through an HTTP protocol, an operation instruction is submitted in a form of "website address + SQL ═ SQL statement", the cloud acquires and executes the SQL statement, the cloud operates the cloud database, an execution result is returned in a form of json array, and an instruction execution flow of the system is realized.
And the client terminal module is connected with the cloud server module and is used for controlling and monitoring the intelligent hardware terminal and the cloud server terminal.
In this embodiment, the back-end design of the client terminal is based on a Thinkphp5 framework and a PHP language, and the front-end design is based on an AmazeUI framework to write a data visualization interface; the front page of the webpage is written by adopting HTML5 and javascript; the design of the database is based on MySQL, and the visualization management of the database is carried out by adopting Navicat. And the server and the hardware terminal use a Websocket based on a Workerman framework and a TCP/IP protocol to carry out data communication.
Furthermore, the image acquisition module adopts an infrared thermal imager.
Furthermore, an RS485/RS232 communication interface is arranged on the data communication module, an RS485 bus is connected with the local area network, the RS232 interface is connected with the infrared thermal imager, and data communication between the devices is realized by adopting a Modbus communication protocol.
Furthermore, the client terminal module comprises a monitoring management center, and the monitoring management center is provided with a data visualization interface and can monitor the state of the electrical equipment in real time.
A transformer equipment running state supervision method based on an infrared imaging technology comprises the following steps:
1) acquiring a temperature image of the substation equipment through an infrared thermal imager in an image acquisition module;
2) uploading the temperature image acquired by the image acquisition to an image processing module, preprocessing the acquired image, improving the image quality to highlight an equipment target, segmenting the target, selecting image characteristics, and identifying by using a model identification algorithm;
3) transmitting the processed image to a cloud server, and correcting and evaluating the measured image information by adopting a data evaluation model to obtain a more accurate state evaluation result;
4) transmitting the state evaluation result to a client terminal, displaying the state evaluation result on a data visualization interface, grading the running state of the electrical equipment into A, B, C grades, wherein the grade C represents that the electrical equipment has major faults and needs to be immediately overhauled; the equipment represented by the B level has potential safety hazard, but the condition is not endangered, and the equipment needs to be mainly checked during maintenance; a indicates that the electrical equipment is in good operation condition and does not need to be detected.
The invention adopts the Bayesian network state evaluation model based on the pair-Copula model and the infrared thermal imager, has the functions of target identification and equipment state analysis, reduces the difficulty of equipment state detection and improves the accuracy of detection; the background program and the state evaluation model are deployed on the public cloud, so that the maintenance cost is saved:
the foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. The utility model provides a substation equipment running state monitoring system based on infrared ray imaging technique which characterized in that: the cloud server comprises an intelligent hardware terminal, a cloud server module and a client terminal module;
the intelligent hardware terminal comprises an image acquisition module, an image processing module and a data communication module, wherein the image acquisition module is used for acquiring an operating temperature image of the electrical equipment, the image processing module is used for processing the acquired temperature image, and the data communication module is connected with the cloud server module and is used for realizing data transmission between the intelligent hardware terminal and the cloud server module;
the cloud server module comprises a local area network and a cloud server, the local area network is connected with the intelligent hardware terminal and used for transmitting data of the intelligent hardware terminal to the cloud server, and a background program and a state evaluation model are deployed on the server and used for further processing the temperature image to obtain a more accurate evaluation result;
and the client terminal module is connected with the cloud server module and is used for controlling and monitoring the intelligent hardware terminal and the cloud server terminal.
2. A power transformation equipment operation state monitoring system based on infrared imaging technology according to claim 1, characterized in that: the image acquisition module adopts an infrared thermal imager.
3. A power transformation equipment operation state monitoring system based on infrared imaging technology according to claim 1, characterized in that: and the data communication module is provided with an RS485/RS232 communication interface, an RS485 bus is connected with the local area network, and the RS232 interface is connected with the infrared thermal imager.
4. A power transformation equipment operation state monitoring system based on infrared imaging technology according to claim 1, characterized in that: the client terminal module comprises a monitoring management center, and the monitoring management center is provided with a data visualization interface and can monitor the state of the electrical equipment in real time.
5. A transformer equipment running state supervision method based on an infrared imaging technology is characterized by comprising the following steps: the method comprises the following steps:
1) acquiring a temperature image of the substation equipment through an infrared thermal imager in an image acquisition module;
2) uploading the temperature image acquired by the image acquisition to an image processing module, preprocessing the acquired image, improving the image quality to highlight an equipment target, segmenting the target, selecting image characteristics, and identifying by using a model identification algorithm;
3) transmitting the processed image to a cloud server, and correcting and evaluating the measured image information by adopting a data evaluation model to obtain a more accurate state evaluation result;
4) transmitting the state evaluation result to a client terminal, displaying the state evaluation result on a data visualization interface, grading the running state of the electrical equipment into A, B, C grades, wherein the grade C represents that the electrical equipment has major faults and needs to be immediately overhauled; the equipment represented by the B level has potential safety hazard, but the condition is not endangered, and the equipment needs to be mainly checked during maintenance; a indicates that the electrical equipment is in good operation condition and does not need to be detected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010434848.0A CN111537079A (en) | 2020-05-21 | 2020-05-21 | Substation equipment running state monitoring system based on infrared imaging technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010434848.0A CN111537079A (en) | 2020-05-21 | 2020-05-21 | Substation equipment running state monitoring system based on infrared imaging technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111537079A true CN111537079A (en) | 2020-08-14 |
Family
ID=71977975
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010434848.0A Pending CN111537079A (en) | 2020-05-21 | 2020-05-21 | Substation equipment running state monitoring system based on infrared imaging technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111537079A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112629584A (en) * | 2020-11-16 | 2021-04-09 | 上海电机学院 | State monitoring system of ring main unit equipment based on multi-source information fusion |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205015088U (en) * | 2015-09-11 | 2016-02-03 | 国网山东省电力公司电力科学研究院 | A infrared detection images processing system for transformer substation |
| CN106787210A (en) * | 2017-01-20 | 2017-05-31 | 北京立思辰新技术有限公司 | A kind of Cloud Server monitoring management method for being applied to power system transformer |
| WO2018196340A1 (en) * | 2017-04-25 | 2018-11-01 | 山东电力设备有限公司 | Online monitoring and regeneration system for power transformer breather |
| CN110048509A (en) * | 2019-04-22 | 2019-07-23 | 国网陕西省电力公司宝鸡供电公司 | A kind of substation inspection system and method based on MR intelligent safety helmet |
-
2020
- 2020-05-21 CN CN202010434848.0A patent/CN111537079A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205015088U (en) * | 2015-09-11 | 2016-02-03 | 国网山东省电力公司电力科学研究院 | A infrared detection images processing system for transformer substation |
| CN106787210A (en) * | 2017-01-20 | 2017-05-31 | 北京立思辰新技术有限公司 | A kind of Cloud Server monitoring management method for being applied to power system transformer |
| WO2018196340A1 (en) * | 2017-04-25 | 2018-11-01 | 山东电力设备有限公司 | Online monitoring and regeneration system for power transformer breather |
| CN110048509A (en) * | 2019-04-22 | 2019-07-23 | 国网陕西省电力公司宝鸡供电公司 | A kind of substation inspection system and method based on MR intelligent safety helmet |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112629584A (en) * | 2020-11-16 | 2021-04-09 | 上海电机学院 | State monitoring system of ring main unit equipment based on multi-source information fusion |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108037133B (en) | Intelligent electric power equipment defect identification method and system based on unmanned aerial vehicle inspection image | |
| CN110018389B (en) | Online fault monitoring method and system for power transmission line | |
| CN109800697B (en) | Transformer target detection and appearance defect identification method based on VGG-net style migration | |
| CN111600297B (en) | Online analysis method and device for operation data of power grid equipment under cloud-edge cooperation | |
| CN112749813A (en) | Data processing system, method, electronic equipment and storage medium | |
| CN106940678B (en) | System real-time health degree evaluation and analysis method and device | |
| JP7267363B2 (en) | Test method, device and equipment for traffic flow monitoring measurement system | |
| CN109974780A (en) | A kind of electrical equipment status monitoring system based on Internet of Things | |
| CN111652406A (en) | Method and system for predicting running state of power grid equipment under cloud-edge cooperation | |
| CN115346171A (en) | Power transmission line monitoring method, device, equipment and storage medium | |
| CN107404416A (en) | A kind of visualizing monitor method of power information acquisition system | |
| CN116231504A (en) | Remote intelligent inspection method, device and system for booster station | |
| CN204089886U (en) | Based on the electrical network dynamic monitoring early warning system of weather information | |
| CN111537079A (en) | Substation equipment running state monitoring system based on infrared imaging technology | |
| CN116866512A (en) | Photovoltaic power station inspection system and operation method thereof | |
| CN113094325B (en) | Device deployment method, device, computer system and computer readable storage medium | |
| CN110687394A (en) | Submarine cable fault automatic rapid positioning navigation device system | |
| CN114119528A (en) | Defect detection method and device for distribution line insulator | |
| CN107358343A (en) | Power engineering safe early warning method based on view data feature difference | |
| CN108573233B (en) | Power grid ceramic insulator identification method based on image processing technology | |
| CN115224795A (en) | Intelligent substation equipment operation monitoring and early warning system and method | |
| CN115937086A (en) | Ultrahigh voltage transmission line defect detection method based on unmanned aerial vehicle image recognition technology | |
| CN112905729B (en) | Thermodynamic diagram generation method and device for track data, electronic equipment and storage medium | |
| CN115187086A (en) | Intelligent management and control system for emergency management | |
| CN115392372A (en) | Power data processing method, device, medium and electronic equipment |
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: 20200814 |
|
| RJ01 | Rejection of invention patent application after publication |