CN114264982B - A Transformer Inspection System - Google Patents
A Transformer Inspection System Download PDFInfo
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- CN114264982B CN114264982B CN202111437309.3A CN202111437309A CN114264982B CN 114264982 B CN114264982 B CN 114264982B CN 202111437309 A CN202111437309 A CN 202111437309A CN 114264982 B CN114264982 B CN 114264982B
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Abstract
本发明适用于电力技术领域，提供了一种变压器巡检系统，包括：多个状态传感器和巡检管理平台；巡检管理平台用于控制变压器巡检系统运行于第一巡检模式；在第一巡检模式下，各个状态传感器分别以各自对应的采样周期采集目标变压器的运行状态信息并发送至巡检管理平台；巡检管理平台判断各个状态传感器采集的运行状态信息是否异常，若某个状态传感器采集的运行状态信息异常，则控制变压器巡检系统运行于第二巡检模式；在第二巡检模式下，该异常的状态传感器以及相关的状态传感器同步采集目标变压器的运行状态信息并发送至巡检管理平台，以使巡检管理平台对目标变压器进行故障分析。本发明能够有效提高变压器故障监测的准确率。
The present invention is applicable to the field of electric power technology, and provides a transformer inspection system, including: multiple state sensors and an inspection management platform; the inspection management platform is used to control the transformer inspection system to operate in a first inspection mode; in the first inspection mode, each state sensor collects the operating state information of the target transformer in its corresponding sampling period and sends it to the inspection management platform; the inspection management platform determines whether the operating state information collected by each state sensor is abnormal, and if the operating state information collected by a state sensor is abnormal, the transformer inspection system is controlled to operate in a second inspection mode; in the second inspection mode, the abnormal state sensor and related state sensors synchronously collect the operating state information of the target transformer and send it to the inspection management platform, so that the inspection management platform performs fault analysis on the target transformer. The present invention can effectively improve the accuracy of transformer fault monitoring.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a transformer inspection system.
Background
In a power system, a large-scale power transformer is core equipment in a power transmission process, is the most expensive, complex and important equipment, and can cause sudden large-area power failure, even cause accidents such as explosion, fire and the like, and cause serious loss once the power transformer fails.
The traditional main means for preventing the faults of the transformer is generally a manual inspection mode, which wastes a lot of manpower and cannot discover the fault condition in time. At present, although a plurality of transformer monitoring systems based on the technology of the power transmission and transformation Internet of things realize real-time monitoring of the running state information of the transformer, partial abnormal monitoring data are possibly caused by abnormal acquisition of a sensor, and the transformer is not in fault, so that the system is easy to misjudge, and the accuracy of monitoring the faults of the transformer is reduced.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a transformer inspection system, so as to solve the problem that the transformer monitoring system in the prior art is easy to misjudge.
The embodiment of the invention provides a transformer inspection system, which comprises:
a plurality of status sensors and a patrol management platform;
The system comprises a first inspection mode, a second inspection mode, a state sensor, an inspection management platform, a control module and a control module, wherein the inspection management platform is used for controlling the transformer inspection system to operate in the first inspection mode, and each state sensor respectively collects the operation state information of the target transformer in a corresponding sampling period and sends the operation state information to the inspection management platform;
The inspection management platform judges whether the running state information acquired by each state sensor is abnormal, and if the running state information acquired by a certain state sensor is abnormal, the transformer inspection system is controlled to run in a second inspection mode, wherein in the second inspection mode, the abnormal state sensor and the state sensor related to the abnormal state sensor synchronously acquire the running state information of the target transformer and send the running state information to the inspection management platform so that the inspection management platform can perform fault analysis on the target transformer.
Optionally, the plurality of status sensors are the same type of status sensor;
The inspection management platform is specifically used for:
the other state sensors than the abnormal state sensor are all determined as state sensors related to the abnormal state sensor.
Optionally, the plurality of status sensors are different types of status sensors;
The inspection management platform is specifically used for:
and determining a state sensor related to the abnormal state sensor according to a preset association rule.
Optionally, the inspection management platform is specifically configured to:
and respectively judging whether the running state information acquired by each state sensor is in a preset interval corresponding to each state sensor, and if the running state information acquired by a certain state sensor is not in the preset interval corresponding to the state sensor, judging that the running state information acquired by the state sensor is abnormal.
Optionally, the inspection management platform is specifically configured to:
And sending sampling period and synchronous pulse to the abnormal state sensor and the state sensor related to the abnormal state sensor so as to control the abnormal state sensor and the state sensor related to the abnormal state sensor to synchronously acquire the operation state information of the target transformer.
Optionally, the inspection management platform is specifically configured to:
Judging whether the target transformer has faults or not according to the abnormal state sensor and the running state information of the target transformer synchronously acquired by the state sensor related to the abnormal state sensor;
and determining a fault type and a fault location when the target sensor fails.
Optionally, the inspection management platform is further configured to:
And after judging that the target sensor fails, performing fault alarm on the target transformer, and generating a fault analysis report of the target transformer according to a fault analysis result.
Optionally, the plurality of status sensors includes at least one of the following:
the device comprises an oil temperature sensor, a high-frequency partial discharge sensor, an ultrasonic partial discharge sensor, a load switch current sensor, a load switch vibration sensor, an iron core grounding current sensor and a low-oil equipment pressure sensor.
Optionally, data transmission is performed between the inspection management platform and each state sensor in a wireless communication mode.
Optionally, the transformer inspection system further includes:
An environmental information sensor;
the environment information sensor is used for monitoring environment information of the area where the target transformer is located and sending the environment information to the patrol management platform so that the patrol management platform can perform danger early warning according to the environment information;
The environmental information sensor includes at least one of the following sensors:
Meteorological sensor, environment temperature and humidity sensor and video monitor.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
According to the transformer inspection system provided by the embodiment of the invention, the plurality of state sensors are adopted to periodically monitor each operation state information of the transformer respectively, and when the operation state information monitored by one state sensor is abnormal, the state sensor and the monitoring data of the associated state sensor are synchronously acquired, so that the faults of the transformer are comprehensively analyzed, and misjudgment caused by the abnormal acquisition of the state sensor can be effectively avoided. And the transformer inspection system only controls the related state sensor to synchronously acquire when the data is abnormal, and does not synchronously act when the data is normal, so that the system power consumption can be reduced while timely finding faults.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a transformer inspection system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an edge computing device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to illustrate the technical scheme of the invention, the following description is made by specific examples.
Because the transformer is positioned at the central position of the power grid, the operation environment is complex, and the transformer is often impacted by various bad operation conditions, so that the transformer is more likely to fail. Therefore, power enterprises must minimize and prevent transformer failures and accidents. At present, the main means adopted for preventing and reducing the faults and accidents of the transformer are a traditional manual inspection mode, and the following defects exist:
(1) The personnel inspection cost is too high, the operation and implementation are difficult, and the popularization is difficult;
(2) The personnel technical level is uneven, so that the influence of artificial factors in the inspection work is difficult to eliminate;
(3) The method can not detect in time under abnormal weather conditions;
(4) The excessive high or near high-pressure part of a large number of measuring points on site brings challenges to the safety of inspection personnel;
(5) The method can only patrol single data at the same time, can not acquire multiple data at the same time, can perform fusion analysis of multiple data, and can not perform remote expert assisted diagnosis analysis.
With the rapid development of the Internet of things technology and the mobile technology, the edge computing device based on the power transmission and transformation Internet of things plays an increasingly important role in an Internet of things power system, and is used as a basic link for supporting the whole, so that reliable guarantee is provided for the efficient operation of various upper-layer applications such as state monitoring and data analysis of power transmission and transformation equipment, and the like, and the edge computing device becomes a key component in the Internet of things power system. The embodiment of the invention considers the defects of the existing transformer monitoring system, designs the transformer inspection system based on the edge computing device of the power transmission and transformation Internet of things, can replace the traditional manual inspection mode, realizes automatic acquisition and real-time uploading of inspection data, improves the accuracy of fault monitoring, shortens the time of fault processing, and has important significance in improving the inspection efficiency and guaranteeing the safe operation of the transformer.
Referring to fig. 1, a transformer inspection system provided in an embodiment of the present invention includes:
a patrol management platform 10 and a plurality of status sensors 11.
The inspection management platform 11 is used for controlling the transformer inspection system to operate in a first inspection mode, and in the first inspection mode, each state sensor 11 respectively collects the operation state information of the target transformer in a respective corresponding sampling period and sends the operation state information to the inspection management platform 10.
The inspection management platform 10 judges whether the operation state information collected by each state sensor 11 is abnormal, if the operation state information collected by a certain state sensor 11 is abnormal, the transformer inspection system is controlled to operate in a second inspection mode, and in the second inspection mode, the abnormal state sensor 11 and the state sensor 11 related to the abnormal state sensor 11 synchronously collect the operation state information of the target transformer and send the operation state information to the inspection management platform 10, so that the inspection management platform 10 performs fault analysis on the target transformer.
First, the overall architecture of the transformer inspection system in the embodiment of the present invention is described:
The transformer inspection system can be divided into a state sensing layer, a network layer and a platform layer from the hierarchical structure. As shown in fig. 1, the state sensing layer includes each state sensor 11, and each state sensor 11 is disposed at a corresponding position of the transformer to monitor operation state information of the transformer. The platform layer is a patrol management platform 10, which is deployed in the edge computing device, and the detection data of each state sensor 11 may be aggregated by the aggregation node and sent to the patrol management platform 10 in the edge computing device, and the patrol management platform 10 may also send a control instruction to each state sensor 11 to control each state sensor 11. The inspection management platform 10 can also be connected with an upper computer, so that a manager can manage the transformer inspection system, including the creation of an inspection plan, modification, inspection result checking and the like. The network layer in the embodiment of the invention mainly comprises a wireless network and a wired network, wherein the wireless network is that the state sensor is connected with the edge computing device in a wireless mode, the communication protocol can be a loRa protocol, the wired network is that the edge computing device is connected with the upper computer through a wired optical fiber network, and the communication protocol can be an MQTT protocol.
Taking fig. 1 as an example, the state sensor 11 may include a low-power transformer high-frequency partial discharge sensor, a transformer ultrasonic partial discharge sensor, a transformer vibration sensor, a load switch current sensor, a load switch vibration sensor, a micro-power iron core grounding current sensor, a low-oil equipment pressure sensor, a sleeve capacitance dielectric loss sensor, a transformer oil temperature sensor, a meter temperature sensor, and the like. The method comprises the steps of assuming that a target transformer is a three-phase three-winding 180MVA/220kV transformer, installing 2 transformer oil temperature sensors in the middle upper part of a transformer box body in a magnetic adsorption mode and diagonally installing the transformer oil temperature sensors, installing 4 transformer ultrasonic partial discharge sensors in the middle upper part of four sides of the transformer box body in a magnetic adsorption mode, installing 1 transformer high-frequency partial discharge sensor in a transformer core grounding wire, installing 2 gauge temperature sensors in a thermometer of an oil temperature and winding of the top layer of the transformer body, connecting lead wires of the thermometer to the gauge temperature sensors, installing 1 core grounding current sensor in the transformer core grounding wire, installing 3 low-oil equipment pressure sensors in transformer bushings in a magnetic adsorption mode, installing 1 transformer vibration sensor in the middle upper part of the four sides of the transformer box body in a magnetic adsorption mode, installing 1 on-load switch vibration sensor in a box body on the on-load switch side in a magnetic adsorption mode, installing 1 on-load switch driving current sensor in a load switch driving box, and installing a load switch in a secondary driving connection wire through a wiring.
Normally, the transformer inspection system operates in a first inspection mode, i.e. each status sensor 11 periodically collects data for uploading. If the inspection management platform 10 finds that the data collected by a certain state sensor is abnormal, the state sensor and the state sensor related to the state sensor are controlled to synchronously collect information for fault analysis. For example, if the on-load switch current sensor is abnormal, the inspection management platform 10 controls the on-load switch current sensor and the on-load switch vibration sensor related to the on-load switch current sensor to synchronously collect data, if both the collected data are abnormal, the fault is likely to occur, and if only the on-load switch current data is abnormal, the abnormality of the on-load switch current sensor itself may be likely.
Therefore, the transformer inspection system of the embodiment of the invention adopts a plurality of state sensors to periodically monitor each operation state information of the transformer, and when the operation state information monitored by a certain state sensor is abnormal, the state sensor and the monitoring data of the associated state sensor are synchronously acquired, so that the transformer fault is comprehensively analyzed, and erroneous judgment caused by abnormal acquisition of the state sensor can be effectively avoided. And the transformer inspection system only controls the related state sensor to synchronously acquire when the data is abnormal, and does not synchronously act when the data is normal, so that the system power consumption can be reduced while timely finding faults.
Alternatively, the plurality of status sensors 11 are the same type of status sensor.
The inspection management platform 10 is specifically configured to:
the other state sensors than the abnormal state sensor are all determined as state sensors related to the abnormal state sensor.
In the embodiment of the invention, the transformer inspection system can be applied to monitoring the same type of information. For example, in partial discharge monitoring, a transformer may require a plurality of ultrasonic partial discharge sensors to be distributed at different locations of the transformer to collect partial discharge signals at different locations. At this time, if one of the ultrasonic partial discharge sensors is abnormal, the transformer inspection system controls all the ultrasonic partial discharge sensors to synchronously acquire partial discharge information of the transformer, so as to analyze abnormal conditions.
Alternatively, the plurality of status sensors 11 are different types of status sensors.
The inspection management platform 10 is specifically configured to:
and determining a state sensor related to the abnormal state sensor according to a preset association rule.
In the embodiment of the invention, through analyzing the historical fault data, the relevance among the running state information can be determined, for example, when the transformer generates partial discharge phenomenon, the vibration information and the load information of the transformer are changed. Therefore, the transformer inspection system can be applied to omnibearing monitoring of the transformer, and when a certain type of state sensor is abnormal, the abnormal condition is analyzed by synchronously collecting the monitoring information of the related type of sensor.
Optionally, the inspection management platform 10 is specifically configured to:
and judging whether the running state information acquired by each state sensor 11 is in a preset interval corresponding to each state sensor 11 or not respectively.
If the operation state information collected by a certain state sensor 11 is not in the preset interval corresponding to the state sensor 11, the operation state information collected by the state sensor 11 is judged to be abnormal.
In the embodiment of the invention, a normal section is preset for each type of operation state information, and if the operation state information exceeds the range of the normal section, the data is abnormal.
Optionally, the inspection management platform 10 is specifically configured to:
And sending sampling period and synchronous pulse to the abnormal state sensor and the state sensor related to the abnormal state sensor so as to control the abnormal state sensor and the state sensor related to the abnormal state sensor to synchronously acquire the operation state information of the target transformer.
In the embodiment of the present invention, the inspection management platform 10 controls the transformer inspection system to change to the second inspection mode by sending a sampling period and a synchronization pulse to the abnormal state sensor and the state sensor related to the abnormal state sensor.
Optionally, the inspection management platform 10 is specifically configured to:
And determining whether the target transformer has a fault according to the abnormal state sensor and the running state information of the target transformer synchronously acquired by the state sensor related to the abnormal state sensor, and determining the fault type and the fault position when the target sensor has the fault.
In the embodiment of the invention, after determining that the target transformer fails, the inspection management platform 10 may further analyze the type of the transformer failure and the failure location according to the synchronously collected running state information of the target transformer. For example, the inspection management platform 10 can accurately locate discharge points and the like when partial discharge occurs.
Optionally, the inspection management platform 10 is further configured to:
And after judging that the target sensor fails, performing fault alarm on the target transformer, and generating a fault analysis report of the target transformer according to a fault analysis result.
In the embodiment of the invention, after the target transformer fails, the inspection management platform 10 can perform fault alarm on the target transformer, and particularly can be realized by sending alarm information to a mobile phone terminal of an upper computer or a manager. Meanwhile, the inspection management platform 10 generates a fault analysis report of the target transformer according to the fault analysis result, the fault analysis report is stored in the inspection management platform 10, and a manager can view, download and print the fault analysis report through an upper computer.
Optionally, the plurality of status sensors 11 includes at least one of the following sensors:
the device comprises an oil temperature sensor, a high-frequency partial discharge sensor, an ultrasonic partial discharge sensor, a load switch current sensor, a load switch vibration sensor, an iron core grounding current sensor and a low-oil equipment pressure sensor.
In the embodiment of the present application, it should be noted that the status sensor 11 is not limited to the above type, but may include other types of sensors, which are not limited thereto, and any sensor capable of monitoring status information of a transformer may be applied to the transformer inspection system of the embodiment of the present application.
Optionally, data transmission is performed between the inspection management platform 10 and each status sensor 11 through a wireless communication mode.
In the embodiment of the present invention, each status sensor 11 is a wireless sensor, and can perform wireless communication with the inspection management platform 10. By means of wireless communication, remote monitoring and transmission of data can be achieved, and rapid deployment of each state sensor 11 is facilitated as wiring is not required.
Optionally, referring to fig. 1, the transformer inspection system further includes:
environmental information sensor 12.
The environmental information sensor 12 is configured to monitor environmental information of an area where the target transformer is located and send the environmental information to the inspection management platform 10, so that the inspection management platform 10 performs danger early warning according to the environmental information.
The environmental information sensor 12 includes at least one of the following sensors:
Meteorological sensor, environment temperature and humidity sensor and video monitor.
In the embodiment of the invention, the meteorological sensor is used for collecting weather information of the area where the target transformer is located. The environmental temperature and humidity sensor can be arranged at a firewall near the transformer to collect temperature and humidity information near the target transformer. The video monitor can be installed near the transformer oil level gauge, so that the oil level gauge reading can be clearly shot, and the oil leakage condition of the target transformer can be monitored through the video.
Likewise, the environmental information sensor 12 is not limited to the above type, and may include other types of sensors that can monitor environmental information, and the application is not limited in this regard.
In an embodiment of the present invention, the architecture of the edge computing device may be as shown in fig. 2.
The edge computing device carries the inspection management platform and the edge computing framework in the form of a dock container. After the transformer inspection system is electrified, the edge computing device starts to receive sensor data, issues a theme (inspection task) through the MQTT, the inspection management platform receives sensor state data through the MQTT subscription theme, acquires sensor static data through the RESTful interface, issues inspection result data through the MQTT protocol, subscribes to the inspection result data, forwards the data to the upper computer, and inspection staff can check the transformer inspection result through the upper computer and the inspection management platform.
The transformer inspection system provided by the embodiment of the invention also has the following advantages:
(1) According to the transformer inspection system based on the transmission and transformation Internet of things edge computing device, through a pre-established transformer inspection strategy, intelligent sensor data of the transformer are collected and analyzed by combining the edge computing device, corresponding detection reports are formed and uploaded to the Internet of things platform, automatic management of transformer inspection is achieved, personnel inspection is replaced, inspection cost is reduced, and workload of inspection personnel is reduced.
(2) The transformer inspection system based on the transmission and transformation Internet of things edge computing device can synchronously control sampling periods of related transformer intelligent sensors according to inspection results, achieves batch management of the intelligent sensors, and improves the utilization rate of the intelligent sensors.
(3) The transformer inspection system based on the edge computing device of the power transmission and transformation Internet of things takes the Internet of things technology as a support, and ensures safe and reliable operation of the transformer.
(4) According to the transformer inspection system based on the transmission and transformation Internet of things edge computing device, inspection staff can visually check inspection tasks and inspection analysis results in a browser mode at an upper computer or a mobile terminal, interaction between the inspection staff and an intelligent sensor can be achieved through key sensor positions and data information, inspection efficiency is improved, inspection error rate is reduced, and guarantee is provided for reliable operation of a transformer.
(5) According to the transformer inspection system based on the transmission and transformation Internet of things edge computing device, inspection staff can formulate an inspection task according to the intelligent sensor installed on the transformer and the actual detection requirement, so that the rapid inspection of the transformer is realized, the inspection time of the transformer is shortened, and the expandability of the transformer inspection system is improved.
The foregoing embodiments are merely illustrative of the technical solutions of the present invention, and not restrictive, and although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that modifications may still be made to the technical solutions described in the foregoing embodiments or equivalent substitutions of some technical features thereof, and that such modifications or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
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| CN115479714A (en) * | 2022-10-11 | 2022-12-16 | 云南电网有限责任公司电力科学研究院 | An oil-immersed power transformer pressure wave monitoring method and related equipment |
| CN117250576B (en) * | 2023-11-16 | 2024-01-26 | 苏芯物联技术(南京)有限公司 | Current sensor real-time abnormality detection method based on multidimensional sensing data |
| CN120085224B (en) * | 2025-04-30 | 2025-07-18 | 国网黑龙江省电力有限公司大庆供电公司 | Transformer fault inspection system and method based on multi-sensor |
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| CN110488841B (en) * | 2019-09-03 | 2022-11-01 | 国网湖南省电力有限公司 | Transformer equipment combined inspection system based on intelligent robot and application method thereof |
| EP4050352B1 (en) * | 2021-02-24 | 2024-03-27 | Siemens Aktiengesellschaft | Open circuit fault management on overhead lines |
| KR102724712B1 (en) * | 2021-11-03 | 2024-11-01 | 국립한국교통대학교산학협력단 | Apparatus and method for diagnosing fault of power system |
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| CN111600383A (en) * | 2020-05-12 | 2020-08-28 | 合肥中科类脑智能技术有限公司 | Intelligent integrated inspection device for power transmission line |
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