CN112014774A - Transformer fault inspection system and method based on sound processing - Google Patents
Transformer fault inspection system and method based on sound processing Download PDFInfo
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- CN112014774A CN112014774A CN202010224683.4A CN202010224683A CN112014774A CN 112014774 A CN112014774 A CN 112014774A CN 202010224683 A CN202010224683 A CN 202010224683A CN 112014774 A CN112014774 A CN 112014774A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
Abstract
The invention relates to a transformer fault inspection system and a method based on sound processing, wherein the system comprises an intelligent inspection robot and an upper computer, wherein the intelligent inspection robot is provided with a sound pick-up and a lower computer, and the sound pick-up is used for collecting sound signals along the way and transmitting the collected sound signals to the lower computer in the process of inspecting a transformer substation by the intelligent inspection robot; the lower computer is used for removing the noise of the received sound signal to obtain a sound signal of the transformer and transmitting the sound signal of the transformer to the upper computer; the upper computer is used for processing the received sound signals, judging whether the transformer has faults or not and giving a judgment result. This send out utilization and patrol and examine the robot and replace the manual work to patrol and examine, can improve and patrol and examine efficiency, also can reduce the cost of labor, detect the accuracy that the trouble also can improve the testing result through the sound.
Description
Technical Field
The invention relates to the technical field of transformer substation fault inspection, in particular to a transformer fault inspection system and method based on sound processing.
Background
The early power transformer fault detection work is completed based on traditional human participation, and an off-line mode is adopted, and the main means comprises daily inspection, preventive tests and an insulating oil test method. The methods play a vital role in the safe and stable operation of the transformer substation, but with the continuous expansion of the scale of the power grid, the complexity of the equipment structure and the application of high and new technologies, the methods cannot keep up with the development requirements of the times. Therefore, how to reduce the intensity of manual inspection and realize unmanned inspection is a problem to be solved urgently at present.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a transformer fault inspection system and method based on sound processing, which can improve inspection efficiency and accuracy of fault detection results.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
a transformer fault inspection system based on sound processing comprises an intelligent inspection robot and an upper computer, wherein the intelligent inspection robot is provided with a sound pick-up and a lower computer, the sound pick-up is used for collecting sound signals along the way and transmitting the collected sound signals to the lower computer in the process of inspecting a transformer substation by the intelligent inspection robot; the lower computer is used for removing the noise of the received sound signal to obtain a sound signal of the transformer and transmitting the sound signal of the transformer to the upper computer; the upper computer is used for processing the received sound signals, judging whether the transformer has faults or not and giving a judgment result.
Furthermore, the lower computer is connected with a wireless communication module, and transmits the sound signal of the transformer to the upper computer through the wireless communication module. Through wireless mode transmission, can realize gathering while fault detection, further raise the efficiency.
And further, the system also comprises a client, and the upper computer transmits the judgment result to the client so as to be displayed at the client. By transmitting the detection result to the client in real time for display, the processing can be arranged once a fault occurs, and the timeliness of fault processing is improved.
Further, the upper computer is a cloud server.
In one embodiment, the upper computer determines whether a fault exists according to the frequency and the amplitude of the sound signal of the transformer.
On the other hand, the embodiment of the invention provides a method for polling according to the transformer fault polling system based on sound processing, which comprises the following steps:
the intelligent inspection robot is driven to automatically walk in the transformer substation at regular time or irregular time;
in the walking process of the intelligent patrol robot, the sound pickup collects sound signals in real time and transmits the sound signals to the lower computer;
the lower computer removes the noise of the received sound signal to obtain the sound signal of the transformer, and transmits the sound signal of the transformer to the upper computer;
and the upper computer processes the received sound signals, judges whether the transformer has faults or not and gives a judgment result.
Compared with the prior art, the invention has the beneficial effects that: the invention uses the transformer substation inspection robot to replace manual inspection, thus effectively improving inspection quality and reducing manual labor intensity; manual inspection is replaced in severe weather, so that the manual safety risk is reduced; based on the transformer substation inspection robot fully autonomous detection equipment state, unmanned on duty is realized. Utilize the robot to patrol and examine substation equipment, the automatic operation means of accessible reduces intensity of labour, promotes and patrols and examines efficiency, and the quality of patrolling and examining is guaranteed to unified detection analysis flow. Patrol and examine the robot through intelligence and carry on the adapter, can pick up the transformer sound on patrolling and examining the road automatically, later carry out data processing and transmission again, realized that the intelligence patrols and examines the robot and to the autonomic control of transformer, the human cost that has significantly reduced.
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 a transformer fault inspection system based on sound processing according to the present invention.
Fig. 2 is a flow chart of the transformer fault inspection system based on sound processing for inspection according to the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the transformer fault inspection system based on sound processing provided by this embodiment includes an intelligent inspection robot and an upper computer. The intelligent inspection robot is provided with the sound pick-up and the lower computer, and the main purpose of the intelligent inspection robot is to take the sound pick-up to collect sound signals, so that the intelligent inspection robot can adopt finished products in the prior art and can walk according to a specified track. Patrol and examine the robot and patrol and examine the transformer substation in-process, gather the sound signal along the way through the adapter, the signal of gathering includes the sound that the transformer sent, also can contain some noise signals of course, consequently, after gathering the sound signal, the adapter transmits it for the host computer and carries out the preliminary treatment, and the filtering that makes an uproar falls is handled, rejects the noise in the environment, and then acquires the sound signal of transformer operation. And transmitting the obtained sound signal of the running of the transformer to the upper computer for fault judgment after the lower computer is preprocessed. The lower computer can be a single chip microcomputer, and the upper computer can be a cloud server.
As an implementation mode, after the intelligent inspection robot finishes one-time inspection, the lower computer transmits the preprocessed sound signals to the upper computer in a wired mode.
As another embodiment, a wireless communication module may be mounted on the intelligent inspection robot, the lower computer is connected to the wireless communication module, and the lower computer transmits the preprocessed sound signals to the upper computer in real time through the wireless communication module. The wireless communication module can be a communication module used for controlling the intelligent inspection robot and can also be a communication module configured for a lower computer independently.
And after the upper computer receives the signal, the sound signal is converted into the running state of the transformer and is displayed in real time through a client connected with the upper computer.
When the transformer normally operates, noise mainly comes from vibration of an oil tank, a winding, an iron core, a cooling device fan and the like, namely vibration of a transformer body and air flow of the cooling device fan. The noise of the body mainly comprises the vibration of an iron core caused by electromagnetic force generated by magnetic flux passing between silicon steel sheets and laminated sheets, the vibration of a winding caused by dynamic electromagnetic force generated between windings and wire turns when load current flows through the winding; and also vibration of the tank wall due to leakage flux, etc. The noise of the cooling device is mainly generated when the submersible pump and the cooling fan are operated. Therefore, the insulation condition of the iron core and the winding in the transformer can be reflected by monitoring the noise of the transformer. That is, the sound signals of the transformer under various fault conditions are collected as black samples, and the sound signals of the transformer under no fault condition are collected as white samples, after the sound signals of the transformer are received by the upper computer, the sound signals are compared with the white samples, the frequency and the amplitude of the sound signals are compared, and if the frequency and the amplitude are consistent with or different from the white samples within a set range, the transformer can be judged to be fault-free. If the difference between the frequency and the amplitude and the white sample exceeds the set range, the frequency and the amplitude are sequentially compared with the black samples under various faults, and if the frequency and the amplitude are consistent with or have the difference within the set range with a certain black sample or certain black samples, the transformer can be judged to have corresponding faults. The type of the fault can be judged in such a way, and corresponding processing can be performed better in time. However, some faults are difficult to distinguish, all faults cannot be identified at the moment, and the fault of the transformer can be identified. That is, in a simpler processing manner, only the preprocessed sound signal needs to be compared with the white sample.
As shown in fig. 2, the method for performing inspection by using the system includes the following steps:
and step 0, driving the intelligent inspection robot to autonomously inspect the transformer substation. The frequency of polling may be timed or non-timed.
Step 1, the inspection robot carrying the sound pick-up collects sound signals in the autonomous inspection process.
And 2, the lower computer performs noise elimination processing on the collected sound signals and retains the sound of the transformer.
And 3, uploading the preprocessed sound signals to an upper computer through a wireless communication module.
And 4, carrying out fault identification on the sound signal of the transformer by the upper computer, and giving the state of the transformer.
And 5, displaying the state of the transformer through the client.
The invention uses the transformer substation inspection robot to replace manual inspection, thus effectively improving inspection quality and reducing manual labor intensity; manual inspection is replaced in severe weather, so that the manual safety risk is reduced; based on the transformer substation inspection robot fully autonomous detection equipment state, unmanned on duty is realized. Utilize the robot to patrol and examine substation equipment, the automatic operation means of accessible reduces intensity of labour, promotes and patrols and examines efficiency, and the quality of patrolling and examining is guaranteed to unified detection analysis flow. Patrol and examine the robot through intelligence and carry on the adapter, can pick up the transformer sound on patrolling and examining the road automatically, later carry out data processing and transmission again, realized that the intelligence patrols and examines the robot and to the autonomic control of transformer, the human cost that has significantly reduced.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (7)
1. A transformer fault inspection system based on sound processing is characterized by comprising an intelligent inspection robot and an upper computer, wherein a sound pick-up and a lower computer are mounted on the intelligent inspection robot, and the sound pick-up is used for collecting sound signals along the way and transmitting the collected sound signals to the lower computer in the process of inspecting a transformer substation by the intelligent inspection robot; the lower computer is used for removing the noise of the received sound signal to obtain a sound signal of the transformer and transmitting the sound signal of the transformer to the upper computer; the upper computer is used for processing the received sound signals, judging whether the transformer has faults or not and giving a judgment result.
2. The transformer fault inspection system based on sound processing according to claim 1, wherein the lower computer is connected with a wireless communication module, and transmits sound signals of the transformer to the upper computer through the wireless communication module.
3. The transformer fault inspection system based on sound processing according to claim 1, further comprising a client, wherein the upper computer transmits the judgment result to the client for display at the client.
4. The transformer fault inspection system based on sound processing according to claim 1, wherein the upper computer is a cloud server.
5. The transformer fault inspection system based on sound processing according to claim 1, wherein the upper computer judges whether a fault exists according to the frequency and the amplitude of the sound signal of the transformer.
6. The transformer fault inspection system inspection method based on sound processing, according to claim 1, characterized by comprising the following steps:
the intelligent inspection robot is driven to automatically walk in the transformer substation at regular time or irregular time;
in the walking process of the intelligent patrol robot, the sound pickup collects sound signals in real time and transmits the sound signals to the lower computer;
the lower computer removes the noise of the received sound signal to obtain the sound signal of the transformer, and transmits the sound signal of the transformer to the upper computer;
and the upper computer processes the received sound signals, judges whether the transformer has faults or not and gives a judgment result.
7. The method of claim 6, wherein the upper computer determines whether there is a fault according to the frequency and amplitude of the sound signal of the transformer.
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| CN202010224683.4A CN112014774A (en) | 2020-03-26 | 2020-03-26 | Transformer fault inspection system and method based on sound processing |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112781721A (en) * | 2021-01-12 | 2021-05-11 | 国家电网有限公司 | Inspection platform, intelligent noise acquisition device and use method of inspection platform |
| CN113053412A (en) * | 2021-02-04 | 2021-06-29 | 国网江苏省电力有限公司检修分公司 | Sound-based transformer fault identification method |
| CN117054007A (en) * | 2023-08-12 | 2023-11-14 | 浙江仁栋电气科技有限公司 | Transformer monitoring method, system, intelligent terminal and storage medium |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112781721A (en) * | 2021-01-12 | 2021-05-11 | 国家电网有限公司 | Inspection platform, intelligent noise acquisition device and use method of inspection platform |
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| CN113053412B (en) * | 2021-02-04 | 2023-12-22 | 国网江苏省电力有限公司检修分公司 | Transformer fault identification method based on sound |
| CN117054007A (en) * | 2023-08-12 | 2023-11-14 | 浙江仁栋电气科技有限公司 | Transformer monitoring method, system, intelligent terminal and storage medium |
| CN117054007B (en) * | 2023-08-12 | 2024-04-12 | 浙江仁栋电气科技有限公司 | Transformer monitoring method, system, intelligent terminal and storage medium |
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