CN115208054A - Intelligent management system for dry-type transformer - Google Patents
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- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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Abstract
The invention provides an intelligent management system for a dry-type transformer, and relates to the field of transformer management. The system comprises: the device comprises a historical data acquisition module, a life cycle division module, a data threshold setting module, a sensor setting module, a theoretical life cycle stage comparison module, a data threshold comparison module and an operation control module. The system analyzes the primary service time of the target dry-type transformer through a theoretical life cycle stage comparison module, compares the detection data with the data threshold value of the theoretical life cycle stage through a data threshold value comparison module after the theoretical life cycle stage is obtained, and judges whether the target dry-type transformer is abnormal or not and whether alarm information is sent or not. Therefore, the current abnormal condition of the user is timely reminded, the actual running state of the target dry-type transformer is displayed to the user, and the purpose of accurately and timely reflecting the real-time state of the dry-type transformer by combining the service life of the dry-type transformer is achieved.
Description
Technical Field
The invention relates to the field of transformer management, in particular to an intelligent management system for a dry-type transformer.
Background
Power transformers are one of the most common electrical devices in power grids and can be classified into dry transformers and oil-immersed transformers according to the cooling method. Compared with an oil immersed transformer, the dry type transformer has the advantages of low consumption, high efficiency, moisture resistance, flame retardance, no pollution, convenience in maintenance and the like, is frequently used in places such as high-rise buildings and wharfs, and plays an important role in the processes of alternating voltage and alternating current conversion and the like.
Although the dry type transformer has been widely used in daily life, during the operation of the dry type transformer, the safe operation and the service life of the dry type transformer are seriously affected by the moisture, the overload and the winding temperature exceeding the insulation tolerance temperature. At present, the dry-type transformer is generally maintained on site manually, but the real-time state of the transformer cannot be reflected in time in the mode, and the monitoring and management of the dry-type transformer are not facilitated. In addition, when the actual hardware states of the dry-type transformer are different in different use stages, how to accurately and timely reflect the real-time state of the dry-type transformer by combining the service life of the dry-type transformer is a problem which needs to be solved urgently.
Disclosure of Invention
The invention aims to provide an intelligent management system of a dry-type transformer, which is used for solving the problem that the prior art cannot effectively combine the service life of the dry-type transformer and accurately and timely reflect the real-time state of the dry-type transformer.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an intelligent management system for a dry-type transformer, which includes:
the historical data acquisition module is used for acquiring a plurality of historical data of the target dry-type transformer;
the life cycle division module is used for dividing the full life cycle of the target dry-type transformer according to the plurality of historical data to obtain a plurality of life cycle stages, and any life cycle stage has corresponding stage data;
the data threshold setting module is used for setting the data threshold of each life cycle stage according to all the stage data;
the sensor setting module is used for setting a sensor according to a plurality of historical data so as to comprehensively acquire detection data of the target dry-type transformer;
the theoretical life cycle stage comparison module is used for acquiring the initial use time of the target dry-type transformer and inputting the initial use time into a preset database so as to determine the theoretical life cycle stage of the target dry-type transformer;
the data threshold comparison module is used for comparing the detection data with a data threshold of a theoretical life cycle stage, if the detection data is greater than the data threshold, an alarm signal is sent out, and the actual operation state of the target dry-type transformer is monitored according to the detection data;
and the operation control module is used for responding to the working state of the dry-type transformer of the user start-stop operation control target according to the actual running state.
In some embodiments of the present invention, the sensor setting module includes:
the layout scheme configuration sub-module is used for determining the detection positions according to the plurality of historical data and configuring the layout scheme of the sensors according to the detection positions;
and the layout submodule is used for laying the sensors at all detection positions according to the layout scheme.
In some embodiments of the present invention, the layout scheme configuring sub-module includes:
the change value determining unit is used for determining the type and the detection position of the historical data of which the change value is greater than a preset change value according to the plurality of historical data;
a sensor type determining unit for determining the matched sensor type according to the type of the historical data;
and the layout scheme obtaining unit is used for obtaining a layout scheme according to the detection position and the corresponding sensor type.
In some embodiments of the present invention, the sensor kind determination unit includes:
and the temperature sensor determining subunit is used for determining that the type of the sensor is the temperature sensor if the type of the historical data with the change value larger than the preset change value is the temperature data.
In some embodiments of the present invention, the above-mentioned intelligent management system for a dry-type transformer further includes:
the abnormity detection module is used for sending an image shooting instruction to the shooting module when the data abnormity of the target dry-type transformer is monitored;
the shooting module is used for controlling the camera to work according to the image shooting instruction so as to obtain the current image data of the target dry-type transformer.
In some embodiments of the present invention, the above-mentioned intelligent management system for a dry-type transformer further includes:
and the monitoring report generating module is used for generating a monitoring report according to the detection data and the current image data.
In some embodiments of the present invention, the above-mentioned intelligent management system for a dry-type transformer further includes:
and the database establishing module is used for establishing a preset database according to all life cycle stages of the target dry-type transformer and the corresponding stage data.
In some embodiments of the present invention, the history data acquiring module includes:
and the model searching data unit is used for acquiring a plurality of historical data of all the dry-type transformers with the models consistent with the model of the target dry-type transformer.
In a second aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The one or more programs, when executed by the processor, implement the system of any of the second aspects as described above.
In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the system according to any one of the above second aspects.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides an intelligent management system of a dry-type transformer, which comprises: and the historical data acquisition module is used for acquiring a plurality of historical data of the target dry-type transformer. And the life cycle division module is used for dividing the full life cycle of the target dry-type transformer according to the plurality of historical data to obtain a plurality of life cycle stages, and any life cycle stage has corresponding stage data. The life cycle division module starts from a plurality of historical data of the target dry-type transformer so as to divide the life cycle stage more accurately. And the data threshold setting module is used for setting the data threshold of each life cycle stage according to all the stage data. And the sensor setting module is used for setting the sensors according to the plurality of historical data and comprehensively acquiring the detection data of the target dry-type transformer through the sensors. And the theoretical life cycle stage comparison module is used for acquiring the initial use time of the target dry-type transformer and inputting the initial use time into a preset database so as to determine the theoretical life cycle stage of the target dry-type transformer. And the data threshold comparison module is used for comparing the detection data with the data threshold of the theoretical life cycle stage, if the detection data is greater than the data threshold, sending an alarm signal, and monitoring the actual running state of the target dry-type transformer according to the detection data. Therefore, the initial use time of the target dry-type transformer is analyzed through the theoretical life cycle stage comparison module, after the theoretical life cycle stage is obtained, the detection data is compared with the data threshold value of the theoretical life cycle stage through the data threshold value comparison module, and whether the target dry-type transformer is abnormal or not and whether alarm information is sent or not are judged. And if the current abnormal condition is abnormal, an alarm signal is sent out to remind a user of the current abnormal condition and show the actual running state of the target dry-type transformer to the user, so that the actual hardware states of the dry-type transformer at different use stages are considered, and the purposes of combining the service life of the dry-type transformer and accurately and timely reflecting the real-time state of the dry-type transformer are achieved. And the operation control module is used for responding to the user start-stop operation to control the working state of the target dry-type transformer according to the actual running state. Therefore, the target dry-type transformer is timely controlled to stop working through the operation control module, and the system can timely find the abnormal condition of the target dry-type transformer and remind a user of maintenance, so that the service life of the dry-type transformer can be effectively prolonged.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of an intelligent management system for a dry-type transformer according to an embodiment of the present invention;
fig. 2 is a block diagram of a sensor setting module according to an embodiment of the present invention;
FIG. 3 is a block diagram of a layout scheme configuration submodule according to an embodiment of the present invention;
fig. 4 is a block diagram of another intelligent management system for a dry-type transformer according to an embodiment of the present invention;
fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present invention.
Icon: 110-historical data acquisition module; 120-a life cycle partitioning module; 130-data threshold setting module; 140-a sensor setting module; 141-layout scheme configuration submodule; 1411-a change value determination unit; 1412-a sensor kind determination unit; 1413-a layout scheme obtaining unit; 142-laying out a submodule; 150-theoretical lifecycle stage comparison module; 160-data threshold comparison module; 170-operating the control module; 180-anomaly detection module; 190-a shooting module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, if an element is referred to by the phrase "comprising a" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that if the terms "upper", "lower", "inner", "outer", etc. are used to indicate an orientation or positional relationship based on that shown in the drawings or that the application product is usually placed in use, the description is merely for convenience and simplicity, and it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore should not be construed as limiting the present application.
In the description of the present application, it should also be noted that, unless otherwise explicitly stated or limited, the terms "disposed" and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Examples
Referring to fig. 1, fig. 1 is a block diagram illustrating a structure of an intelligent management system for a dry-type transformer according to an embodiment of the present disclosure. The embodiment of the application provides a dry-type transformer intelligent management system, it includes:
a historical data obtaining module 110, configured to obtain a plurality of historical data of the target dry-type transformer;
for example, the plurality of history data of the target dry-type transformer may include a plurality of history data of all dry-type transformers corresponding to the model of the target dry-type transformer and a plurality of history data of the target dry-type transformer itself.
The life cycle division module 120 is configured to divide a full life cycle of the target dry-type transformer according to the plurality of historical data to obtain a plurality of life cycle stages, where any life cycle stage has corresponding stage data;
specifically, the life cycle stages can be more accurately divided from a plurality of historical data of the target dry-type transformer. The life cycle stage can comprise an initial stage of equipment use, a frequent failure stage, an operation maintenance stage and a scrapping treatment stage.
A data threshold setting module 130, configured to set a data threshold of each life cycle stage according to all the stage data;
for example, if the plurality of historical data show that the operating temperature of the target dry-type transformer is 95 degrees at the highest and 70 degrees at the lowest in the initial period of the device usage, the threshold value of the temperature data in the initial period of the device usage is 70 degrees to 95 degrees.
The sensor setting module 140 is used for setting sensors according to a plurality of historical data so as to comprehensively acquire detection data of the target dry-type transformer;
specifically, the detection data of the target dry-type transformer is collected in real time through a sensor.
For example, the operating temperature of the target dry-type transformer may be collected in real time by a temperature sensor.
The theoretical life cycle stage comparison module 150 is used for acquiring the initial use time of the target dry-type transformer and inputting the initial use time into a preset database so as to determine the theoretical life cycle stage of the target dry-type transformer;
the preset database records the theoretical life time of the dry-type transformer and the time of all theoretical life cycle stages.
Specifically, the initial use time of the target dry-type transformer is input into a preset database, and the theoretical life cycle stage of the target dry-type transformer is determined according to the initial use time and the current time.
The data threshold comparison module 160 is configured to compare the detection data with a data threshold at a theoretical life cycle stage, send an alarm signal if the detection data is greater than the data threshold, and monitor an actual operation state of the target dry-type transformer according to the detection data;
specifically, the theoretical life cycle stage comparison module 150 is used for analyzing the initial use time of the target dry-type transformer, after the theoretical life cycle stage is obtained, comparing the detection data with the data threshold value of the theoretical life cycle stage, and judging whether the target dry-type transformer is abnormal and whether alarm information is sent out. And if the current abnormal condition is abnormal, an alarm signal is sent out to remind a user of the current abnormal condition and show the actual running state of the target dry-type transformer to the user, so that the actual hardware states of the dry-type transformer at different use stages are considered, and the purposes of combining the service life of the dry-type transformer and accurately and timely reflecting the real-time state of the dry-type transformer are achieved.
And the operation control module 170 is configured to respond to a user start-stop operation to control the working state of the target dry-type transformer according to the actual running state.
Specifically, a user controls whether the target dry-type transformer enters a working state or not according to the actual running state. Therefore, the target dry-type transformer is controlled to stop working in time, and the abnormal condition of the target dry-type transformer can be found in time through the system, and a user is reminded to maintain, so that the service life of the dry-type transformer can be effectively prolonged.
Referring to fig. 2, fig. 2 is a block diagram illustrating a sensor setting module 140 according to an embodiment of the present invention. In some embodiments of the present embodiment, the sensor setting module 140 includes:
the layout scheme configuration submodule 141 is configured to determine a detection position according to the plurality of historical data, and configure a layout scheme of the sensor according to the detection position;
and the layout sub-module 142 is used for laying the sensors at all the detection positions according to the layout scheme.
Specifically, a plurality of historical data of the target dry-type transformer are analyzed, the detection positions and the sensors which are required to be configured at the detection positions are determined, and then a layout scheme is generated, so that the corresponding sensors are arranged at the detection positions, and the installation positions of the sensors are designed more accurately.
Referring to fig. 3, fig. 3 is a block diagram illustrating a configuration sub-module 141 of an arrangement scheme according to an embodiment of the present invention. In some embodiments of this embodiment, the layout scheme configuring sub-module 141 includes:
a change value determination unit 1411 for determining a category and a detection position of history data having a change value larger than a preset change value, based on a plurality of history data;
a sensor type determining unit 1412, configured to determine a matching sensor type according to the type of the historical data;
a layout scheme obtaining unit 1413, configured to obtain a layout scheme according to the detection position and the corresponding sensor type.
Specifically, the type and the detection position of the history data having a change value larger than a preset change value are determined by the change value determination unit 1411, and the history data having a change value larger than a preset change value is used as the detection object. And then, determining the type of the sensor matched with the detection object according to the type of the detection object, thereby obtaining a layout scheme according to the detection position and the corresponding type of the sensor.
The layout scheme is that corresponding sensors are arranged at all detection positions. For example, if the category of the history data with the variation value larger than the preset variation value is temperature data and the detection position of the detection object is a, the sensor layout scheme for the detection object in the layout scheme is to lay a temperature sensor at the detection position a.
In some embodiments of the present embodiment, the sensor type determination unit 1412 includes:
and the temperature sensor determining subunit is used for determining the type of the sensor as the temperature sensor if the type of the historical data with the change value larger than the preset change value is temperature data.
Referring to fig. 4, fig. 4 is a block diagram illustrating another intelligent management system for a dry-type transformer according to an embodiment of the present invention. In some embodiments of this embodiment, the above intelligent management system for a dry-type transformer further includes:
the anomaly detection module 180 is used for sending an image shooting instruction to the shooting module 190 when the data anomaly of the target dry-type transformer is monitored;
the shooting module 190 is configured to control the camera to work according to the image shooting instruction, so as to obtain current image data of the target dry-type transformer.
Specifically, each dry-type transformer is provided with a camera. When the detected data is greater than the data threshold, an image shooting instruction is sent to the corresponding shooting module 190, so that the shooting module 190 controls the camera to shoot current image data, and the current image data can further reflect the abnormal operation state of the target dry-type transformer.
In some embodiments of this embodiment, the above intelligent management system for a dry-type transformer further includes:
and the monitoring report generating module is used for generating a monitoring report according to the detection data and the current image data. Specifically, the monitoring result of the target dry-type transformer is visually reflected through the monitoring report.
In some embodiments of this embodiment, the intelligent management system for a dry-type transformer further includes:
and the database establishing module is used for establishing a preset database according to all life cycle stages of the target dry-type transformer and corresponding stage data. So that the time at which all theoretical life cycle phases are present is recorded in the pre-set database.
In some embodiments of the present embodiment, the history data acquiring module 110 includes:
and the model searching data unit is used for acquiring a plurality of historical data of all the dry-type transformers with the models consistent with the model of the target dry-type transformer. Specifically, according to the model of the target dry-type transformer, a plurality of historical data of all the dry-type transformers of the model are acquired, so that the historical data are acquired as much as possible.
Referring to fig. 5, fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the dry-type transformer intelligent management system provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, so as to execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 5 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 5 or have a different configuration than shown in fig. 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
To sum up, the dry-type transformer intelligent management system that this application embodiment provided, it includes: the historical data acquiring module 110 is configured to acquire a plurality of historical data of the target dry-type transformer. The life cycle division module 120 is configured to divide a full life cycle of the target dry-type transformer according to the plurality of historical data to obtain a plurality of life cycle stages, where any life cycle stage has corresponding stage data. The lifecycle partitioning module 120 starts from a plurality of historical data of the target dry-type transformer to more accurately partition lifecycle stages. And a data threshold setting module 130, configured to set a data threshold of each lifecycle stage according to all the stage data. And the sensor setting module 140 is used for setting sensors according to a plurality of historical data and comprehensively acquiring detection data of the target dry-type transformer through the sensors. And the theoretical life cycle stage comparison module 150 is configured to obtain the initial usage time of the target dry-type transformer, and input the initial usage time into a preset database to determine the theoretical life cycle stage of the target dry-type transformer. And the data threshold comparison module 160 is configured to compare the detection data with a data threshold of a theoretical life cycle stage, send an alarm signal if the detection data is greater than the data threshold, and monitor an actual operation state of the target dry-type transformer according to the detection data. Therefore, the theoretical life cycle stage comparison module 150 analyzes the initial use time of the target dry-type transformer, and after the theoretical life cycle stage is obtained, the data threshold comparison module 160 compares the detection data with the data threshold of the theoretical life cycle stage to determine whether the target dry-type transformer is abnormal and whether alarm information is sent. And if the current abnormal condition is abnormal, an alarm signal is sent out to remind a user of the current abnormal condition and show the actual running state of the target dry-type transformer to the user, so that the actual hardware states of the dry-type transformer at different use stages are considered, and the purposes of combining the service life of the dry-type transformer and accurately and timely reflecting the real-time state of the dry-type transformer are achieved. And the operation control module 170 is configured to respond to a user start-stop operation to control the working state of the target dry-type transformer according to the actual running state. Therefore, the operation control module 170 can control the target dry-type transformer to stop working in time, and the system can find the abnormal condition of the target dry-type transformer in time and remind a user of maintenance, so that the service life of the dry-type transformer can be effectively prolonged.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An intelligent management system for a dry-type transformer, comprising:
the historical data acquisition module is used for acquiring a plurality of historical data of the target dry-type transformer;
the life cycle division module is used for dividing the full life cycle of the target dry-type transformer according to a plurality of historical data to obtain a plurality of life cycle stages, and any life cycle stage has corresponding stage data;
the data threshold setting module is used for setting the data threshold of each life cycle stage according to all the stage data;
the sensor setting module is used for setting a sensor according to a plurality of historical data so as to comprehensively acquire the detection data of the target dry-type transformer;
the theoretical life cycle stage comparison module is used for acquiring the initial use time of the target dry-type transformer and inputting the initial use time into a preset database so as to determine the theoretical life cycle stage of the target dry-type transformer;
the data threshold comparison module is used for comparing the detection data with the data threshold of the theoretical life cycle stage, if the detection data is larger than the data threshold, an alarm signal is sent out, and the actual running state of the target dry-type transformer is monitored according to the detection data;
and the operation control module is used for responding to the user start-stop operation to control the working state of the target dry-type transformer according to the actual running state.
2. The intelligent management system for a dry-type transformer according to claim 1, wherein the sensor setting module comprises:
the layout scheme configuration sub-module is used for determining detection positions according to a plurality of historical data and configuring a layout scheme of the sensors according to the detection positions;
and the layout submodule is used for laying the sensors at all the detection positions according to the layout scheme.
3. A dry-type transformer intelligent management system as claimed in claim 2, wherein the layout scheme configuration sub-module comprises:
the change value determining unit is used for determining the type and the detection position of the historical data of which the change value is greater than a preset change value according to the plurality of historical data;
a sensor type determining unit for determining the matched sensor type according to the type of the historical data;
and the layout scheme obtaining unit is used for obtaining a layout scheme according to the detection position and the corresponding sensor type.
4. Dry transformer intelligent management system according to claim 3, characterized in that the sensor class determination unit comprises:
and the temperature sensor determining subunit is used for determining that the type of the sensor is the temperature sensor if the type of the historical data with the change value larger than the preset change value is the temperature data.
5. The intelligent management system for dry-type transformers according to claim 1, further comprising:
the abnormity detection module is used for sending an image shooting instruction to the shooting module when the data abnormity of the target dry-type transformer is monitored;
the shooting module is used for controlling a camera to work according to the image shooting instruction so as to obtain the current image data of the target dry-type transformer.
6. The intelligent management system for dry-type transformers according to claim 5, further comprising:
and the monitoring report generating module is used for generating a monitoring report according to the detection data and the current image data.
7. The intelligent management system for dry-type transformers according to claim 1, further comprising:
and the database establishing module is used for establishing a preset database according to all life cycle stages of the target dry-type transformer and the corresponding stage data.
8. The intelligent management system for dry-type transformers according to claim 1, characterized in that the historical data acquisition module comprises:
and the model searching data unit is used for acquiring a plurality of historical data of all the dry-type transformers with the models consistent with the model of the target dry-type transformer.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the system of any of claims 1-8.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements a system according to any one of claims 1-8.
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| CN202210630936.7A CN115208054A (en) | 2022-06-06 | 2022-06-06 | Intelligent management system for dry-type transformer |
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| CN202210630936.7A CN115208054A (en) | 2022-06-06 | 2022-06-06 | Intelligent management system for dry-type transformer |
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