CN114264982A - Transformer inspection system - Google Patents
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- CN114264982A CN114264982A CN202111437309.3A CN202111437309A CN114264982A CN 114264982 A CN114264982 A CN 114264982A CN 202111437309 A CN202111437309 A CN 202111437309A CN 114264982 A CN114264982 A CN 114264982A
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Abstract
The invention is suitable for the technical field of electric power, and provides a transformer inspection system, which comprises: a plurality of state sensors and a patrol management platform; the inspection management platform is used for controlling the transformer inspection system to operate in a first inspection mode; in a first inspection mode, each state sensor acquires the running state information of the target transformer in a respective corresponding sampling period and sends the running state information to an inspection management platform; the inspection management platform judges whether the running state information acquired by each state sensor is abnormal or not, and controls the transformer inspection system to run in a second inspection mode if the running state information acquired by a certain state sensor is abnormal; and in the second inspection mode, the abnormal state sensor and the related 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 analyze the fault of the target transformer. The 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 an electric power system, a large-scale power transformer is a core device in a power transmission process and is also the most expensive, complex and important device, once the power transformer fails, sudden large-area power failure can be caused, even accidents such as explosion, fire and the like are caused, and serious loss is caused.
The traditional main means for preventing the transformer fault is generally a manual inspection mode, which wastes a large amount of manpower and cannot find 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 running state information of a transformer, part of abnormal monitoring data is probably caused by abnormal acquisition of a sensor and is not caused by faults of the transformer, so that misjudgment is easy to occur in the system, and the accuracy of transformer fault monitoring is reduced.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a transformer inspection system, so as to solve the problem that a transformer monitoring system in the prior art is prone to misjudgment.
The embodiment of the invention provides a transformer inspection system, which comprises:
a plurality of state sensors and a patrol management platform;
the inspection management platform is used for controlling the transformer inspection system to operate in a first inspection mode; in the first inspection mode, each state sensor acquires the running state information of the target transformer in a respective corresponding sampling period and sends the running state information to the inspection management platform;
the inspection management platform judges whether the running state information acquired by each state sensor is abnormal or not, and controls the transformer inspection system to run in a second inspection mode if the running state information acquired by a certain state sensor is abnormal; and under 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 performs fault analysis on the target transformer.
Optionally, the plurality of state sensors are the same type of state sensor;
the patrol management platform is specifically used for:
the other state sensors than the abnormal state sensor are determined as the state sensors related to the abnormal state sensor.
Optionally, the plurality of status sensors are different types of status sensors;
the patrol management platform is specifically used for:
and determining the state sensor related to the abnormal state sensor according to a preset association rule.
Optionally, the patrol 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 patrol management platform is specifically configured to:
and sending a sampling period and a 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 running state information of the target transformer.
Optionally, the patrol management platform is specifically configured to:
judging whether the target transformer has a fault 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 the fault type and fault location when the target sensor fails.
Optionally, the patrol management platform is further configured to:
and after the target sensor is judged to be in fault, carrying out 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 sensors:
the system 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 less-oil equipment pressure sensor.
Optionally, data transmission is performed between the patrol 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 an area where the target transformer is located and sending the environment information to the inspection management platform so that the inspection 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 following beneficial effects:
the transformer inspection system provided by the embodiment of the invention adopts the plurality of state sensors to periodically monitor the running state information of the transformer respectively, and when the running state information monitored by a certain state sensor is abnormal, the transformer fault is comprehensively analyzed by synchronously acquiring the monitoring data of the state sensor and the related state sensor, so that the misjudgment caused by abnormal acquisition of the state sensor can be effectively avoided. And the transformer inspection system controls the relevant state sensors to synchronously acquire only when data are found to be abnormal, does not synchronously act normally, and can reduce the power consumption of the system while ensuring timely fault finding.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
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 particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the 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 explain the technical means of the present invention, the following description will be given by way of specific examples.
Because the transformer is positioned at the central position of the power grid, the operation environment is complex, the transformer is often impacted by various poor operation conditions, and the transformer is more prone to failure. Therefore, power utilities must prevent and minimize transformer failures and accidents. At present, the main means of taking is for traditional artifical mode of patrolling and examining in the transformer trouble of preventing and reducing and accident emergence, and it has following not enough:
(1) the personnel inspection cost is too high, the operation and implementation are difficult, and the popularization is not easy;
(2) the technical level of personnel is uneven, and the influence of artificial factors in the routing inspection work is difficult to eliminate;
(3) the detection cannot be carried out in time under the abnormal weather working condition;
(4) a large number of on-site measuring points are too high or close to high-voltage parts, so that the safety of inspection personnel is challenged;
(5) only single data can be patrolled and examined at the same time, multiple data cannot be obtained at the same time, fusion analysis of the multiple data is carried out, and remote expert-assisted diagnosis analysis cannot be carried out.
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 the internet of things power system, and serves as a basic link for supporting the whole situation, so that reliable guarantee is provided for the efficient operation of various upper-layer applications such as the state monitoring and data analysis of power transmission and transformation equipment, 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 for improving the inspection efficiency and ensuring the safe operation of the transformer.
Referring to fig. 1, a transformer inspection system according to an embodiment of the present invention includes:
an inspection 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 operating state information of the target transformer in a corresponding sampling period and sends the operating state information to the inspection management platform 10.
The inspection management platform 10 judges whether the running state information acquired by each state sensor 11 is abnormal, if the running state information acquired by a certain state sensor 11 is abnormal, the transformer inspection system is controlled to run 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 acquire the running state information of the target transformer and send the running state information to the inspection management platform 10, so that the inspection management platform 10 performs fault analysis on the target transformer.
Firstly, the overall architecture of the transformer inspection system of the embodiment of the invention is introduced:
the transformer inspection system can be divided into a state perception layer, a network layer and a platform layer in a 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 the operation state information of the transformer. The platform layer is an inspection management platform 10, which is deployed in the edge computing device, detection data of each state sensor 11 can be aggregated by an aggregation node and sent to the inspection management platform 10 in the edge computing device, and the inspection management platform 10 can 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 creation and modification of an inspection plan, inspection result viewing 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 formed by connecting the state sensor and the edge computing device in a wireless mode, the communication protocol can be a loRa protocol, the wired network is formed by connecting the edge computing device and an 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-consumption 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 micropower iron core grounding current sensor, a low-oil-content device pressure sensor, a bushing capacitance dielectric loss sensor, a transformer oil temperature sensor, a meter temperature sensor, and the like. Assuming that the target transformer is a three-phase three-winding 180MVA/220kV transformer, 2 transformer oil temperature sensors are arranged on the middle upper part of a transformer box body in a magnetic adsorption mode and are arranged at opposite angles; 4 transformer ultrasonic partial discharge sensors are arranged on the middle upper part of four surfaces of the transformer box body in a magnetic adsorption mode; 1 transformer high-frequency partial discharge sensor is arranged at the grounding wire of the transformer core; 2 meter temperature sensors are arranged on the oil temperature on the top layer of the transformer body and a thermometer of the winding, and lead wires of the thermometer are connected to the meter temperature sensors; 1 iron core grounding current sensors are arranged at the grounding wire of the transformer iron core; the oil-less equipment pressure sensors are 3 and are arranged on the transformer bushing, and the high-voltage side A-phase bushing, the high-voltage side B-phase bushing and the high-voltage side C-phase bushing are respectively arranged on the transformer bushing; 1 transformer vibration sensor is arranged on the surface of the transformer box body in a magnetic adsorption mode; 1 load switch vibration sensors are arranged on a box body on the load switch side of the transformer in a magnetic adsorption mode; the on-load switch driving current sensors are 1 and are installed in the on-load switch control box, and the driving current is acquired through induction at the secondary wiring position of the on-load switch.
Under normal conditions, the transformer inspection system operates in a first inspection mode, that is, each state sensor 11 periodically acquires data and uploads the data. If the inspection management platform 10 finds that the data acquired by a certain state sensor is abnormal, the inspection management platform controls the state sensor and the state sensor related to the state sensor to synchronously acquire 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 acquire data, if both the acquired data are abnormal, a fault occurs with a high probability, and if only the on-load switch current data are abnormal, the fault may be the abnormality of the on-load switch current sensor itself.
Therefore, the transformer inspection system provided by the embodiment of the invention adopts the plurality of state sensors to periodically monitor the running state information of the transformer respectively, and when the running state information monitored by a certain state sensor is abnormal, the fault of the transformer is comprehensively analyzed by synchronously acquiring the monitoring data of the state sensor and the monitoring data of the associated state sensor, so that the misjudgment caused by abnormal acquisition of the state sensor can be effectively avoided. And the transformer inspection system controls the relevant state sensors to synchronously acquire only when data are found to be abnormal, does not synchronously act normally, and can reduce the power consumption of the system while ensuring timely fault finding.
Alternatively, the plurality of state sensors 11 are the same type of state sensor.
The inspection management platform 10 is specifically configured to:
the other state sensors than the abnormal state sensor are determined as the 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 dispersedly disposed at different positions of the transformer to acquire partial discharge signals at different positions. 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, and then abnormal conditions are analyzed.
Alternatively, the plurality of condition sensors 11 are different types of condition sensors.
The inspection management platform 10 is specifically configured to:
and determining the 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 between the running state information can be determined, for example, when the transformer generates a partial discharge phenomenon, the vibration information and the load information of the transformer can be changed. Therefore, the transformer inspection system can also be applied to the omnibearing monitoring of the transformer, and when a certain type of state sensor is abnormal, the abnormal condition is analyzed by synchronously acquiring the monitoring information of the related type sensor.
Optionally, the inspection management platform 10 is specifically configured to:
and respectively judging whether the running state information acquired by each state sensor 11 is in a preset interval corresponding to each state sensor 11.
If the operation state information acquired by a certain state sensor 11 is not in the preset interval corresponding to the state sensor 11, it is determined that the operation state information acquired by the state sensor 11 is abnormal.
In the embodiment of the invention, a normal interval is preset for each type of running state information, and if the running state information exceeds the range of the normal interval, the data is abnormal.
Optionally, the inspection management platform 10 is specifically configured to:
and sending a sampling period and a 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 running state information of the target transformer.
In the embodiment of the present invention, the patrol managing platform 10 controls the transformer patrol system to change to the second patrol mode by transmitting the sampling period and the synchronization pulse to the abnormal state sensor and the state sensor associated with the abnormal state sensor.
Optionally, the inspection management platform 10 is specifically configured to:
judging whether the target transformer has a fault 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 the fault type and fault location when the target sensor fails.
In the embodiment of the present invention, after determining that the target transformer has a fault, the inspection management platform 10 may further analyze the type and the location of the fault of the transformer according to the synchronously acquired running state information of the target transformer. For example, the inspection management platform 10 can accurately locate a discharge point or the like when a partial discharge occurs.
Optionally, the inspection management platform 10 is further configured to:
and after the target sensor is judged to be in fault, carrying out 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 the fault alarm can be realized by sending alarm information to a mobile phone terminal of an upper computer and 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 check, download and print the fault analysis report through an upper computer.
Optionally, the plurality of status sensors 11 comprises at least one of the following sensors:
the system 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 less-oil equipment pressure sensor.
In the embodiment of the present invention, it should be noted that the state sensor 11 is not limited to the above-mentioned types, and may also include other types of sensors, which are not limited in this application, and any sensor capable of monitoring the state information of the transformer may be applied to the transformer inspection system according to the embodiment of the present invention.
Optionally, the data transmission is performed between the inspection management platform 10 and each state sensor 11 in a wireless communication manner.
In the embodiment of the present invention, each of the status sensors 11 is a wireless sensor, and can wirelessly communicate with the inspection management platform 10. By means of wireless communication, remote monitoring and transmission of data can be achieved, and rapid deployment of the state sensors 11 is facilitated due to the fact that wiring is not required.
Optionally, as shown in fig. 1, the transformer inspection system further includes:
an environmental information sensor 12.
The environmental information sensor 12 is used for monitoring environmental information of an area where the target transformer is located and sending the environmental information to the inspection management platform 10, so that the inspection management platform 10 can perform 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 and used for collecting temperature and humidity information near the target transformer. The video monitor can be arranged near the oil level gauge of the transformer, so that clear reading of the oil level gauge can be guaranteed, and the oil leakage condition of the target transformer can be monitored through the video.
Similarly, the environmental information sensor 12 is not limited to the above type, and may include other types of sensors that can monitor environmental information, which is not limited in this application.
In the embodiment of the present invention, the architecture of the edge computing device can be seen in fig. 2.
The edge computing device bears the patrol inspection management platform and the edge computing frame in the form of a docker container. After the transformer inspection system is powered on, the edge computing device starts to receive sensor data and issues subjects (inspection tasks) through MQTT, the inspection management platform receives sensor state data through MQTT subscription subjects, the inspection management platform acquires sensor static data through RESTful interfaces and issues inspection result data through MQTT protocols, the edge computing device subscribes the inspection result data and forwards the data to an upper computer, and inspection personnel can check transformer inspection results 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) the transformer inspection system based on the transmission and transformation Internet of things edge computing device collects and analyzes intelligent sensor data of a transformer by combining the transformer inspection strategy formulated in advance and an edge computing device, forms a corresponding detection report, uploads the detection report to the Internet of things platform, achieves automatic management of transformer inspection, replaces personnel inspection, reduces inspection cost and reduces workload of inspection personnel.
(2) The transformer inspection system based on the power transmission and transformation Internet of things edge computing device can perform synchronous control on sampling periods of related transformer intelligent sensors according to inspection results, batch management of the intelligent sensors is achieved, and the utilization rate of the intelligent sensors is improved.
(3) A transformer inspection system based on a power transmission and transformation Internet of things edge computing device takes the Internet of things technology as a support, and safe and reliable operation of a transformer is guaranteed.
(4) The transformer inspection system based on the power transmission and transformation Internet of things edge computing device has the advantages that inspection personnel can visually check inspection tasks and inspection analysis results in a browser mode on an upper computer or a mobile terminal, interaction between the inspection personnel and an intelligent sensor can be achieved through key sensor positions and data information, inspection efficiency is improved, inspection error rate is reduced, and reliable operation of a transformer is guaranteed.
(5) The transformer inspection system based on the power transmission and transformation Internet of things edge computing device has the advantages that inspection personnel can make inspection tasks according to intelligent sensors installed on transformers and actual detection requirements, rapid inspection of the transformers is achieved, inspection time of the transformers is shortened, and expandability of the transformer inspection system is improved.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. The utility model provides a transformer system of patrolling and examining which characterized in that includes:
a plurality of state sensors and a patrol management platform;
the inspection management platform is used for controlling the transformer inspection system to operate in a first inspection mode; in the first inspection mode, each state sensor acquires the running state information of the target transformer in a respective corresponding sampling period and sends the running state information to the inspection management platform;
the inspection management platform judges whether the running state information acquired by each state sensor is abnormal or not, and controls the transformer inspection system to run in a second inspection mode if the running state information acquired by a certain state sensor is abnormal; and under 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 performs fault analysis on the target transformer.
2. The transformer inspection system according to claim 1, wherein the plurality of status sensors are the same type of status sensor;
the patrol management platform is specifically used for:
the other state sensors than the abnormal state sensor are determined as the state sensors related to the abnormal state sensor.
3. The transformer inspection system according to claim 1, wherein the plurality of status sensors are different types of status sensors;
the patrol management platform is specifically used for:
and determining the state sensor related to the abnormal state sensor according to a preset association rule.
4. The transformer inspection system according to claim 1, wherein 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.
5. The transformer inspection system according to claim 1, wherein the inspection management platform is specifically configured to:
and sending a sampling period and a 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 running state information of the target transformer.
6. The transformer inspection system according to claim 1, wherein the inspection management platform is specifically configured to:
judging whether the target transformer has a fault 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 the fault type and fault location when the target sensor fails.
7. The transformer inspection system according to claim 6, wherein the inspection management platform is further configured to:
and after the target sensor is judged to be in fault, carrying out fault alarm on the target transformer, and generating a fault analysis report of the target transformer according to a fault analysis result.
8. The transformer inspection system according to claim 1, wherein the plurality of status sensors includes at least one of:
the system 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 less-oil equipment pressure sensor.
9. The transformer inspection system according to claim 1, wherein data transmission is performed between the inspection management platform and each state sensor in a wireless communication manner.
10. The transformer inspection system according to any one of claims 1-9, further including:
an environmental information sensor;
the environment information sensor is used for monitoring environment information of an area where a target transformer is located and sending the environment information to the inspection management platform, so that the inspection 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.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117250576A (en) * | 2023-11-16 | 2023-12-19 | 苏芯物联技术(南京)有限公司 | Current sensor real-time abnormality detection method based on multidimensional sensing data |
| 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 |
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