CN111238649A - Oil-immersed transformer operation abnormity judgment system and method based on infrared temperature measurement - Google Patents

Abstract

The invention discloses a system and method for judging abnormal operation of an oil-immersed transformer based on infrared temperature measurement, belonging to the field of temperature measurement of oil-immersed transformers, comprising an infrared thermal imaging camera and a temperature acquisition sensor, wherein the temperature acquisition sensor is arranged inside the transformer , the infrared thermal imaging camera is arranged outside the transformer, the temperature acquisition sensor and the infrared thermal imaging camera are respectively connected to a server through wireless transmission, and the server is connected to a background monitoring platform. The invention adopts the transformer oil temperature sensor and the surface infrared camera to collect two real-time temperatures inside and outside the transformer, and records the internal and external temperature values of the transformer to determine that there is a problem in the heat dissipation of the transformer, and perform early warning processing. The invention judges whether the operation of the transformer is abnormal through the method of temperature monitoring and pre-judgment, provides a double guarantee for the temperature monitoring of the equipment, and provides a judgment basis for the operation and maintenance of the oil-immersed transformer.

Description

System and method for abnormal operation of oil-immersed transformer based on infrared temperature measurement

technical field

The invention belongs to the field of oil-immersed transformer temperature measurement, in particular to a system and method for judging abnormal operation of an oil-immersed transformer based on infrared temperature measurement.

Background technique

The oil-immersed transformer adopts a closed structure, with poor heat dissipation effect, large heat accumulation, and long-term operation at high voltage, high current and full load, which directly leads to aggravated heat accumulation and temperature rise, which threatens the electrical insulation performance. Transformer overheating fault is a common multiple fault, which has a serious threat to the safe operation and service life of the transformer.

During the operation of the transformer, heat is generated, which causes the transformer body to heat up and increase its temperature. The insulating oil inside the transformer transfers heat to the external cooling medium through the radiator. After a period of time, the temperature of the insulating oil inside the body rises and stabilizes. When the transformer cooling device does not operate normally, the internal fastening screw joints are loose, the internal short-circuit discharge and the transformer overload operation, etc., the oil temperature of the transformer body will break the original stability, the oil temperature will continue to rise, and the surface temperature of the transformer body will continue to follow. Therefore, the oil temperature and surface temperature of the transformer body can indirectly reflect whether the transformer is operating normally. The normal operation of traditional transformers is often monitored through sensors to monitor the oil temperature inside the transformer body. This judgment method is unidimensional and depends on the sensor to collect the temperature correctly. If the sensor is damaged or the data is offset, the It is easy to cause false alarms. In addition, the comparison between the surface temperature of the monitoring transformer and the oil temperature can also reflect the heat dissipation capacity of the transformer. If the heat dissipation capacity is weak, it can be determined that the transformer is more likely to be damaged during high-load operation, and protective measures should be added.

SUMMARY OF THE INVENTION

In view of the above technical problems, the purpose of the present invention is to provide a system and method for judging abnormal operation of oil-immersed transformers based on infrared temperature measurement, which can effectively solve the problems existing in the prior art.

The present invention adopts the following technical scheme: a system for judging abnormal operation of oil-immersed transformers based on infrared temperature measurement, comprising an infrared thermal imaging camera and a temperature acquisition sensor, wherein the temperature acquisition sensor is arranged inside the transformer, and the infrared thermal imaging camera is provided with Outside the transformer, the temperature acquisition sensor and the infrared thermal imaging camera are respectively connected to a server through wireless transmission, and the server is connected to a background monitoring platform.

Preferably, the device further includes an infrared image acquisition module, an image analysis module, a prompt module, and an image display module;

The infrared image acquisition module is used to acquire an infrared image of an infrared thermal imaging camera, and a temperature result is displayed in the infrared image;

The image analysis module is configured to analyze the infrared image, and when determining an area with abnormal temperature in the infrared image, generate reminder information and abnormal temperature area information and store them in the server;

The image display module is used for fetching the abnormal temperature area information from the server and adding it to the background monitoring platform for display.

A method for judging abnormal operation of oil-immersed transformers based on infrared temperature measurement is provided. The temperature acquisition sensor and infrared thermal imaging camera are used to periodically collect the internal oil temperature and surface temperature of the transformer under test, and obtain the real-time surface temperature of the transformer and long-term operation. The temperature curve of the internal oil temperature during the process.

Preferably, the above method specifically includes the following steps:

a. Use the temperature acquisition sensor to collect the oil temperature of the oil-immersed transformer body, and record the historical data to form a temperature curve;

b. Use an infrared thermal imaging camera to collect the surface temperature of the transformer, and record the historical data to form a temperature curve;

c. Record the transformer oil temperature and surface infrared temperature measurement data, compare the transformer body oil temperature and surface temperature, and combine the historical data curves monitored by the two to determine whether the transformer operating state is abnormal.

Preferably, in step c, if the surface temperature of the transformer is in a high temperature alarm, and the temperature change curve of the oil temperature of the transformer body continues to increase in the recent period of time, it can be concluded that the transformer has a high temperature problem;

Preferably, if the transformer oil temperature is high temperature alarm, and the surface temperature curve collected by the infrared camera is continuously rising, it can be determined that the heat dissipation capability of the transformer is weak and cannot meet the heat dissipation requirements required for normal operation.

Preferably, it also includes the following steps:

Record the internal and external temperature values of the transformer, calculate the ratio of external temperature to internal temperature at 0:00 every night, compare the historical data of this time period, if the external temperature/internal temperature ratio is greater than 75%, and the historical data at the same time period does not appear that the ratio exceeds the limit value, determine that there is a problem with the heat dissipation of the transformer, and do early warning processing.

Beneficial effects of the present invention:

The input of the present invention is two sets of temperature measurement data, using two temperature measurement sensors inside and outside, it can continue to provide monitoring data of transformer temperature when a sensor is damaged, and provides double guarantee for the temperature monitoring of equipment.

The comparison method combining the internal oil temperature of the transformer with the surface temperature can more accurately predict the operating state of the transformer and reduce the working pressure of the operation and maintenance personnel.

Description of drawings

Fig. 1 is a system block diagram of the present invention;

Figure 2 is a schematic diagram of the steps of the method of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

Referring to the accompanying drawings, the system for judging abnormal operation of oil-immersed transformers based on infrared temperature measurement described in this embodiment includes an infrared thermal imaging camera and a temperature acquisition sensor. The temperature acquisition sensor is arranged inside the transformer, and the infrared The thermal imaging camera is arranged outside the transformer, the temperature acquisition sensor and the infrared thermal imaging camera are respectively connected to the server through wireless transmission, and the server is connected to the background monitoring platform.

In one embodiment, the device further includes an infrared image acquisition module, an image analysis module, a prompt module, and an image display module;

The infrared image acquisition module is used to acquire an infrared image of an infrared thermal imaging camera, and a temperature result is displayed in the infrared image;

The image analysis module is configured to analyze the infrared image, and when determining an area with abnormal temperature in the infrared image, generate reminder information and abnormal temperature area information and store them in the server;

The image display module is used for fetching the abnormal temperature area information from the server and adding it to the background monitoring platform for display.

The method for judging the abnormal operation of oil-immersed transformers based on infrared temperature measurement provided by this application is to collect the internal oil temperature and surface temperature of the transformer under test at regular intervals through a temperature acquisition sensor and an infrared thermal imaging camera, respectively, and obtain the real-time temperature and long-term temperature of the transformer surface. Temperature curve of internal oil temperature during operation.

In one embodiment, the above method specifically includes the following steps:

a. Use the temperature acquisition sensor to collect the oil temperature of the oil-immersed transformer body;

b. Save the data in the server through wireless transmission, and record the historical data to form the body oil temperature curve;

c. Use an infrared thermal imaging camera to collect the surface temperature of the transformer, and record the historical data to form a temperature curve;

d. Save the data in the server through wireless transmission, and record the historical data to form the body oil temperature curve;

e. The image analysis module compares the oil temperature and surface temperature of the transformer body, and combines the historical data curves monitored by the two to determine whether the transformer operating state is abnormal.

In step e, if the transformer surface temperature has a high temperature alarm, and the temperature change curve of the transformer body oil temperature continues to rise in the recent period of time, it can be concluded that the transformer has a high temperature problem;

If the transformer oil temperature alarm is high, and the surface temperature curve collected by the infrared camera continues to rise, it can be determined that the transformer has a weak heat dissipation capacity and cannot meet the heat dissipation requirements for normal operation.

In one embodiment, the above method may further include the following steps:

Record the internal and external temperature values of the transformer, calculate the ratio of external temperature to internal temperature at 0:00 every night, compare the historical data of this time period, if the external temperature/internal temperature ratio is greater than 75%, and the historical data at the same time period does not appear that the ratio exceeds the limit value, determine that there is a problem with the heat dissipation of the transformer, and do early warning processing.

The image display module is used to retrieve the abnormal temperature area information from the server and add it to the background monitoring platform for display.

The parts not covered above are applicable to the prior art.

Although some specific embodiments of the present invention have been described in detail through examples, those skilled in the art should understand that the above examples are only for illustration, not for limiting the scope of the present invention. Various modifications or additions may be made to, or substituted for, the specific embodiments described, without departing from the direction of the invention or going beyond the scope defined by the appended claims. Those skilled in the art should understand that any modification, equivalent replacement, improvement, etc. made to the above embodiments according to the technical essence of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. The utility model provides an oil-immersed transformer abnormal operation judgement system based on infrared temperature measurement, its characterized in that, includes infrared thermal imaging camera and temperature acquisition sensor, the temperature acquisition sensor sets up inside the transformer, infrared thermal imaging camera sets up outside the transformer, temperature acquisition sensor and infrared thermal imaging camera are connected with the server through wireless transmission respectively, the server is connected with backstage monitoring platform.

2. The oil-immersed transformer abnormal operation judgment system based on infrared temperature measurement according to claim 1, characterized in that the device further comprises an infrared image acquisition module, an image analysis module, a prompt module and an image display module;

the infrared image acquisition module is used for acquiring an infrared image of the infrared thermal imaging camera, and a temperature result is displayed in the infrared image;

the image analysis module is used for analyzing the infrared image, generating reminding information and abnormal temperature area information when determining the abnormal temperature area in the infrared image, and storing the reminding information and the abnormal temperature area information into a server;

and the image display module is used for calling the temperature abnormal region information from the server and adding the temperature abnormal region information to the background monitoring platform for display.

3. The oil-immersed transformer operation abnormity judgment system based on infrared temperature measurement is characterized in that a temperature acquisition sensor and an infrared thermal imaging camera are used for respectively carrying out timing acquisition on the internal oil temperature and the surface temperature of a measured transformer to obtain the real-time surface temperature of the transformer and the internal oil temperature change curve in the long-time operation process.

4. The oil-immersed transformer operation abnormity judgment method based on infrared temperature measurement according to claim 3, specifically comprising the following steps:

a. acquiring the oil temperature of an oil-immersed transformer body by using a temperature acquisition sensor, and recording historical data to form a temperature curve;

b. acquiring the surface temperature of the transformer by using an infrared thermal imaging camera, and recording historical data to form a temperature curve;

c. recording the oil temperature and the surface infrared temperature measurement data of the transformer, comparing the oil temperature and the surface temperature of the transformer body, and judging whether the running state of the transformer is abnormal or not by combining historical data graphs monitored by the oil temperature and the surface temperature of the transformer body.

5. The method for judging the abnormal operation of the oil-immersed transformer based on the infrared temperature measurement according to claim 4, wherein in the step c, if the surface temperature of the transformer is alarmed and the temperature change curve of the body oil temperature of the transformer is continuously increased in the recent time, the transformer is judged to have the high temperature problem.

6. The oil-immersed transformer operation abnormity judgment method based on infrared temperature measurement according to claim 4, wherein in the step c, if the transformer oil temperature is alarmed at a high temperature, and the surface temperature curve collected by the infrared camera is continuously increased, it can be judged that the transformer has a weak heat dissipation capability and cannot meet the heat dissipation requirement required by normal operation.

7. The oil-immersed transformer operation abnormity judgment method based on infrared temperature measurement according to claim 4, characterized by further comprising the following steps:

recording the internal and external temperature values of the transformer, calculating the ratio of the external temperature to the internal temperature at 0 point every night, comparing historical data of the time period, judging that the transformer has a problem in heat dissipation if the ratio of the external temperature to the internal temperature is greater than 75% and the ratio of the historical data of the time period does not exceed the limit value, and performing early warning processing.

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