A Transformer Inspection System

Abstract

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

[0001] The invention belongs to the field of electric power technology, and in particular relates to a transformer inspection system. Background Art

[0002] In the power system, large power transformers are the core equipment in the power transmission process and are also the most expensive, complex and important equipment. Once a power transformer fails, it may cause sudden large-scale power outages, or even cause accidents such as explosions and fires, causing serious losses.

[0003] The traditional main means of preventing transformer failures is usually manual inspection, which wastes a lot of manpower and cannot detect faults in time. At present, although there are many transformer monitoring systems based on power transmission and transformation Internet of Things technology that have achieved real-time monitoring of transformer operating status information, some abnormal monitoring data may be caused by abnormal sensor collection, not by the transformer itself. This makes the system prone to misjudgment, reducing the accuracy of transformer fault monitoring. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a transformer inspection system to solve the problem that the transformer monitoring system in the prior art is prone to misjudgment.

[0005] An embodiment of the present invention provides a transformer inspection system, including:

[0006] Multiple status sensors and inspection management platform;

[0007] The inspection management platform is used to control the transformer inspection system to operate in the first inspection mode; wherein, 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;

[0008] The inspection management platform determines whether the operating status information collected by each status sensor is abnormal. If the operating status information collected by a certain status sensor is abnormal, the transformer inspection system is controlled to operate in the second inspection mode; wherein, in the second inspection mode, the abnormal status sensor and the status sensors related to the abnormal status sensor synchronously collect the operating status 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.

[0009] Optionally, the multiple state sensors are state sensors of the same type;

[0010] The inspection management platform is specifically used for:

[0011] The other state sensors except the abnormal state sensor are all determined as state sensors related to the abnormal state sensor.

[0012] Optionally, the multiple state sensors are state sensors of different types;

[0013] The inspection management platform is specifically used for:

[0014] A state sensor related to the abnormal state sensor is determined according to a preset association rule.

[0015] Optionally, the inspection management platform is specifically used for:

[0016] It is determined whether the running status information collected by each state sensor is within the preset interval corresponding to each state sensor. If the running status information collected by a state sensor is not within the preset interval corresponding to the state sensor, it is determined that the running status information collected by the state sensor is abnormal.

[0017] Optionally, the inspection management platform is specifically used for:

[0018] A sampling period and a synchronization pulse are sent to the abnormal state sensor and the state sensors related to the abnormal state sensor to control the abnormal state sensor and the state sensors related to the abnormal state sensor to synchronously collect the operating state information of the target transformer.

[0019] Optionally, the inspection management platform is specifically used for:

[0020] Determine whether a target transformer fails according to the operating status information of the target transformer synchronously collected by the abnormal status sensor and the status sensors related to the abnormal status sensor;

[0021] and, determining the fault type and fault location when a target sensor fails.

[0022] Optionally, the inspection management platform is also used to:

[0023] After determining that a target sensor fails, a fault alarm is issued for the target transformer, and a fault analysis report for the target transformer is generated based on the fault analysis results.

[0024] Optionally, the multiple state sensors include at least one of the following sensors:

[0025] Oil temperature sensor, high frequency partial discharge sensor, ultrasonic partial discharge sensor, on-load switch current sensor, on-load switch vibration sensor, core grounding current sensor and low-oil equipment pressure sensor.

[0026] Optionally, the inspection management platform and each status sensor transmit data via wireless communication.

[0027] Optionally, the transformer inspection system also includes:

[0028] Environmental information sensor;

[0029] The environmental information sensor is used to monitor the environmental information of the area where the target transformer is located and send it to the inspection management platform so that the inspection management platform can issue a danger warning based on the environmental information;

[0030] The environmental information sensor includes at least one of the following sensors:

[0031] Meteorological sensors, environmental temperature and humidity sensors, and video monitors.

[0032] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0033] The transformer inspection system of the embodiment of the present invention uses multiple state sensors to periodically monitor each operating state information of the transformer. When the operating state information monitored by a state sensor is found to be abnormal, the monitoring data of the state sensor and related state sensors are synchronously acquired to comprehensively analyze the transformer fault, which can effectively avoid misjudgment caused by abnormal state sensor acquisition. In addition, the transformer inspection system only controls the relevant state sensors to perform synchronous acquisition when abnormal data is found, and does not perform synchronous action when normal, which can also reduce system power consumption while ensuring timely detection of faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0035] Figure 1 is a structural schematic diagram of a transformer inspection system provided by an embodiment of the present invention;

[0036] Figure 2 It is a schematic diagram of the structure of an edge computing device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0038] In order to illustrate the technical solution of the present invention, a specific embodiment is provided below for illustration.

[0039] Since transformers are located at the center of the power grid, the operating environment is complex, and they are often impacted by various adverse operating conditions, making them more prone to failure. Therefore, power companies must prevent and reduce the occurrence of transformer failures and accidents to the greatest extent possible. At present, the main means of preventing and reducing transformer failures and accidents is the traditional manual inspection method, which has the following shortcomings:

[0040] (1) The cost of personnel inspection is too high, and the operation and implementation are difficult and not easy to promote;

[0041] (2) The technical levels of personnel vary greatly, making it difficult to eliminate the influence of human factors in inspection work;

[0042] (3) Failure to conduct timely inspections under abnormal weather conditions;

[0043] (4) A large number of measuring points on site are too high or close to high-voltage areas, posing a challenge to the safety of inspection personnel;

[0044] (5) Only a single piece of data can be inspected at a time. It is impossible to obtain multiple data at the same time and conduct fusion analysis of multiple data. It is also impossible to conduct remote expert-assisted diagnosis and analysis.

[0045] With the rapid development of Internet of Things and mobile technology, edge computing devices based on the power transmission and transformation Internet of Things are playing an increasingly important role in the Internet of Things power system. As a basic link to support the overall situation, it provides reliable guarantees for the efficient operation of various upper-layer applications such as status monitoring and data analysis of power transmission and transformation equipment, and has become a key component in the Internet of Things power system. The embodiment of the present invention takes into account the shortcomings of the existing transformer monitoring system and designs a transformer inspection system based on the edge computing device of the power transmission and transformation Internet of Things. It can replace the traditional manual inspection method, realize the automatic collection and real-time upload of inspection data, and improve the accuracy of fault monitoring and shorten the time of fault handling. It is of great significance to improve the inspection efficiency and ensure the safe operation of the transformer.

[0046] See also Figure 1 As shown, the transformer inspection system provided by the embodiment of the present invention includes:

[0047] Inspection management platform 10 and multiple status sensors 11.

[0048] The inspection management platform 11 is used to control the transformer inspection system to operate in a first inspection mode. In the first inspection mode, each state sensor 11 collects the operating state information of the target transformer in its corresponding sampling period and sends it to the inspection management platform 10 .

[0049] The inspection management platform 10 determines whether the operating status information collected by each status sensor 11 is abnormal. If the operating status information collected by a certain status sensor 11 is abnormal, the transformer inspection system is controlled to operate in the second inspection mode. In the second inspection mode, the abnormal status sensor 11 and the status sensors 11 related to the abnormal status sensor 11 synchronously collect the operating status information of the target transformer and send it to the inspection management platform 10, so that the inspection management platform 10 performs fault analysis on the target transformer.

[0050] First, the overall architecture of the transformer inspection system according to the embodiment of the present invention is introduced:

[0051] The transformer inspection system can be divided into the state perception layer, network layer and platform layer in terms of hierarchy. Figure 1 , the state perception layer includes various state sensors 11, and each state sensor 11 is respectively deployed at the corresponding position of the transformer to monitor the operating state information of the transformer. The platform layer is the inspection management platform 10, which is deployed in the edge computing device. The detection data of each state sensor 11 can be aggregated through the aggregation node and sent to the inspection management platform 10 in the edge computing device. The inspection management platform 10 can also send control instructions to each state sensor 11 to control each state sensor 11. The inspection management platform 10 can also be connected to the host computer so that the management personnel can manage the transformer inspection system, including the creation, modification, and viewing of inspection results of the inspection plan. The network layer in the embodiment of the present invention mainly includes a wireless network and a wired network. The wireless network is a wireless connection between the state sensor and the edge computing device, and the communication protocol can be the loRa protocol. The wired network refers to the connection between the edge computing device and the host computer through a wired optical fiber network, and the communication protocol can be the MQTT protocol.

[0052] by Figure 1For example, the status sensor 11 may include a low-power transformer high-frequency partial discharge sensor, a transformer ultrasonic partial discharge sensor, a transformer vibration sensor, an on-load switch current sensor, an on-load switch vibration sensor, as well as a micro-power core grounding current sensor, a low-oil equipment pressure sensor, a bushing capacitance dielectric loss sensor, a transformer oil temperature sensor, a meter temperature sensor, etc. Assuming that the target transformer is a three-phase three-winding 180MVA / 220kV transformer, there are two transformer oil temperature sensors, which are installed in the middle and upper part of the transformer box and installed diagonally by magnetic adsorption; four transformer ultrasonic partial discharge sensors are installed in the middle and upper part of the four sides of the transformer box by magnetic adsorption; one transformer high-frequency partial discharge sensor is installed at the transformer core grounding wire; two meter temperature sensors are installed at the temperature gauges of the top oil temperature and winding of the transformer body, and the temperature gauge lead wire is connected to the meter temperature sensor; one core grounding current sensor is installed at the transformer core grounding wire; three low-oil equipment pressure sensors are installed on the transformer bushings, which are the A phase, B phase, and C phase bushings on the high-voltage side respectively; one transformer vibration sensor is installed on the surface of the transformer box by magnetic adsorption; one load switch vibration sensor is installed on the box on the load switch side of the transformer by magnetic adsorption; one load switch drive current sensor is installed in the load switch control box, and the drive current is collected by sensing at the secondary wiring of the load switch.

[0053] Under normal circumstances, the transformer inspection system operates in the first inspection mode, that is, each state sensor 11 periodically collects data and uploads it. If the inspection management platform 10 finds that the data collected by a state sensor is abnormal, it controls the state sensor and the state sensors related to the state sensor 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 it to synchronously collect data. If the data collected by both are abnormal, there is a high probability that a fault has occurred. If only the on-load switch current data is abnormal, it may be an abnormality of the on-load switch current sensor itself.

[0054] It can be seen that the transformer inspection system of the embodiment of the present invention uses multiple state sensors to periodically monitor the operation status information of the transformer. When the operation status information monitored by a state sensor is found to be abnormal, the monitoring data of the state sensor and the related state sensors are synchronously acquired to comprehensively analyze the transformer fault, which can effectively avoid the misjudgment caused by the abnormal state sensor collection. In addition, the transformer inspection system only controls the relevant state sensors to perform synchronous collection when abnormal data is found, and does not perform synchronous action when it is normal. It can also reduce system power consumption while ensuring timely detection of faults.

[0055] Optionally, the multiple state sensors 11 are state sensors of the same type.

[0056] The inspection management platform 10 is specifically used for:

[0057] The other state sensors except the abnormal state sensor are all determined as state sensors related to the abnormal state sensor.

[0058] In an embodiment of the present invention, the transformer inspection system can be applied to the monitoring of the same type of information. For example, in partial discharge monitoring, the transformer may need multiple ultrasonic partial discharge sensors to be dispersedly arranged at different positions of the transformer to collect 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 ultrasonic partial discharge sensors to synchronously collect partial discharge information of the transformer, and then analyzes the abnormal situation.

[0059] Optionally, the multiple state sensors 11 are state sensors of different types.

[0060] The inspection management platform 10 is specifically used for:

[0061] A state sensor related to the abnormal state sensor is determined according to a preset association rule.

[0062] In the embodiment of the present invention, by analyzing the historical fault data, the correlation between various operating status information can be determined. For example, when the transformer produces partial discharge, its vibration information and load information will change. Therefore, the transformer inspection system can also be applied to the all-round monitoring of the transformer. When a certain type of status sensor is abnormal, the abnormal situation can be analyzed by synchronously collecting the monitoring information of the associated type of sensor.

[0063] Optionally, the inspection management platform 10 is specifically used for:

[0064] It is determined whether the operating status information collected by each status sensor 11 is within a preset range corresponding to each status sensor 11 .

[0065] If the running status information collected by a certain status sensor 11 is not within the preset interval corresponding to the status sensor 11 , it is determined that the running status information collected by the status sensor 11 is abnormal.

[0066] In the embodiment of the present invention, a normal interval is preset for each type of running status information. If the running status information exceeds the range of the normal interval, it indicates that the data is abnormal.

[0067] Optionally, the inspection management platform 10 is specifically used for:

[0068] A sampling period and a synchronization pulse are sent to the abnormal state sensor and the state sensors related to the abnormal state sensor to control the abnormal state sensor and the state sensors related to the abnormal state sensor to synchronously collect the operating state information of the target transformer.

[0069] 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 state sensors related to the abnormal state sensor.

[0070] Optionally, the inspection management platform 10 is specifically used for:

[0071] Determine whether a target transformer fails based on the operating status information of the target transformer synchronously collected by the abnormal status sensor and status sensors related to the abnormal status sensor; and determine the fault type and fault location when the target sensor fails.

[0072] In the embodiment of the present invention, after determining that the target transformer has a fault, the inspection management platform 10 can also analyze the transformer fault type and fault location based on the synchronously collected target transformer operating status information. For example, when partial discharge occurs, the inspection management platform 10 can accurately locate the discharge point.

[0073] Optionally, the inspection management platform 10 is also used for:

[0074] After determining that a target sensor fails, a fault alarm is issued for the target transformer, and a fault analysis report for the target transformer is generated based on the fault analysis results.

[0075] In the embodiment of the present invention, after a target transformer fails, the inspection management platform 10 can issue a fault alarm to the target transformer, which can be implemented by sending an alarm message to a host computer or a mobile phone terminal of a manager. At the same time, the inspection management platform 10 generates a fault analysis report of the target transformer according to the fault analysis result, and the fault analysis report is stored in the inspection management platform 10, and the manager can view, download and print the fault analysis report through the host computer.

[0076] Optionally, the multiple state sensors 11 include at least one of the following sensors:

[0077] Oil temperature sensor, high frequency partial discharge sensor, ultrasonic partial discharge sensor, on-load switch current sensor, on-load switch vibration sensor, core grounding current sensor and low-oil equipment pressure sensor.

[0078] In the embodiment of the present invention, it should be pointed out that the status sensor 11 is not limited to the types mentioned above, and may also include other types of sensors. The present application does not limit this. Any sensor that can monitor the status information of the transformer can be applied to the transformer inspection system of the embodiment of the present invention.

[0079] Optionally, the inspection management platform 10 and each status sensor 11 transmit data via wireless communication.

[0080] In the embodiment of the present invention, each state sensor 11 is a wireless sensor, which can wirelessly communicate with the inspection management platform 10. Wireless communication can realize remote monitoring and transmission of data, and since no wiring is required, it is convenient to quickly deploy each state sensor 11.

[0081] Optional, see Figure 1 As shown, the transformer inspection system also includes:

[0082] Environmental information sensor 12.

[0083] The environmental information sensor 12 is used to monitor the environmental information of the area where the target transformer is located and send it to the inspection management platform 10, so that the inspection management platform 10 can issue a danger warning based on the environmental information.

[0084] The environmental information sensor 12 includes at least one of the following sensors:

[0085] Meteorological sensors, environmental temperature and humidity sensors, and video monitors.

[0086] In an embodiment of the present invention, a meteorological sensor is used to collect weather information in the area where the target transformer is located. An environmental temperature and humidity sensor can be installed at a firewall near the transformer to collect temperature and humidity information near the target transformer. A video monitor can be installed near the transformer oil level gauge to ensure that the oil level gauge reading can be clearly captured, so as to monitor the oil leakage of the target transformer through video.

[0087] Similarly, the environmental information sensor 12 is not limited to the above types, and may also include other types of sensors that can monitor environmental information, which is not limited in this application.

[0088] In the embodiment of the present invention, the architecture of the edge computing device can be seen in Figure 2 shown.

[0089] The edge computing device carries the inspection management platform and edge computing framework 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 publishes topics (inspection tasks) through MQTT. The inspection management platform receives sensor status data through MQTT subscription topics. The inspection management platform obtains sensor static data through the RESTful interface and publishes the inspection result data through the MQTT protocol. The edge computing device subscribes to the inspection result data and forwards the data to the host computer. The inspection personnel can view the transformer inspection results through the host computer and the inspection management platform.

[0090] The transformer inspection system provided in the embodiment of the present invention also has the following advantages:

[0091] (1) The transformer inspection system based on the edge computing device of the power transmission and transformation Internet of Things collects and analyzes the intelligent sensor data of the transformer through the pre-established transformer inspection strategy combined with the edge computing device, and generates corresponding inspection reports, which are uploaded to the Internet of Things platform, realizing the automatic management of transformer inspections, replacing human inspections, reducing inspection costs, and reducing the workload of inspection personnel.

[0092] (2) The transformer inspection system based on the edge computing device of the power transmission and transformation Internet of Things can synchronously control the sampling cycle of related transformer intelligent sensors according to the inspection results, realize batch management of intelligent sensors, and improve the utilization rate of intelligent sensors.

[0093] (3) The transformer inspection system based on the edge computing device of the power transmission and transformation Internet of Things, supported by the Internet of Things technology, ensures the safe and reliable operation of the transformer.

[0094] (4) Based on the transformer inspection system of the power transmission and transformation Internet of Things edge computing device, inspection personnel can intuitively view the inspection tasks and inspection analysis results, key sensor locations and data information through a browser on a host computer or mobile terminal, which can realize the interaction between inspection personnel and smart sensors, improve inspection efficiency, reduce inspection error rate, and provide guarantee for the reliable operation of the transformer.

[0095] (5) Based on the transformer inspection system of the power transmission and transformation Internet of Things edge computing device, inspection personnel can formulate inspection tasks according to the intelligent sensors installed on the transformer and the actual inspection requirements, realize rapid inspection of the transformer, shorten the transformer inspection time, and improve the scalability of the transformer inspection system.

[0096] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A transformer inspection system, characterized in that: include: Multiple status sensors and inspection management platform; The inspection management platform is used to control the transformer inspection system to operate in a first inspection mode; wherein, 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 status information collected by each state sensor is abnormal. If the operating status information collected by a state sensor is abnormal, the transformer inspection system is controlled to operate in the second inspection mode; wherein, in the second inspection mode, the abnormal state sensor and the state sensors related to the abnormal state sensor synchronously collect the operating status 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 inspection management platform is specifically used for: Sending a sampling period and a synchronization pulse to the abnormal state sensor and a state sensor related to the abnormal state sensor to control the abnormal state sensor and the state sensor related to the abnormal state sensor to synchronously collect the operating state information of the target transformer; Based on the operating status information of the target transformer synchronously collected by the abnormal status sensor and the status sensors related to the abnormal status sensor, it is determined whether the target transformer and the abnormal status sensor are faulty; and when the target transformer fails, the fault type and fault location of the target transformer are determined.

2. The transformer inspection system according to claim 1, characterized in that: The multiple state sensors are state sensors of the same type; The inspection management platform is specifically used for: The other state sensors except the abnormal state sensor are all determined as state sensors related to the abnormal state sensor.

3. The transformer inspection system according to claim 1, characterized in that: The multiple state sensors are state sensors of different types; The inspection management platform is specifically used for: A state sensor related to the abnormal state sensor is determined according to a preset association rule.

4. The transformer inspection system according to claim 1, characterized in that: The inspection management platform is specifically used for: It is determined whether the running status information collected by each state sensor is within the preset interval corresponding to each state sensor. If the running status information collected by a state sensor is not within the preset interval corresponding to the state sensor, it is determined that the running status information collected by the state sensor is abnormal.

5. The transformer inspection system according to claim 1, characterized in that: The inspection management platform is also used for: After determining that a target transformer fails, a fault alarm is issued for the target transformer, and a fault analysis report of the target transformer is generated according to the fault analysis result.

6. The transformer inspection system according to claim 1, characterized in that: The plurality of state sensors include at least one of the following sensors: Oil temperature sensor, high frequency partial discharge sensor, ultrasonic partial discharge sensor, on-load switch current sensor, on-load switch vibration sensor, core grounding current sensor and low-oil equipment pressure sensor.

7. The transformer inspection system according to claim 1, characterized in that: The inspection management platform and each status sensor perform data transmission via wireless communication.

8. The transformer inspection system according to any one of claims 1 to 7, characterized in that: Also includes: Environmental information sensor; The environmental information sensor is used to monitor the environmental information of the area where the target transformer is located and send it to the inspection management platform, so that the inspection management platform can issue a danger warning according to the environmental information; The environmental information sensor includes at least one of the following sensors: Meteorological sensors, environmental temperature and humidity sensors and video monitors.

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