Transformer digital intelligent detection method and monitoring system
A technology of intelligent detection and transformers, which is applied in the direction of instruments, measuring electronics, measuring devices, etc., can solve the problems of digitalization and intelligent procedures, waste of monitoring resources, etc., and achieve the effect of avoiding waste of collection resources
Active Publication Date: 2022-04-22
山东和兑智能科技有限公司
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Problems solved by technology
[0004] However, the digitalization and intelligent procedures of the existing transformer state detection methods and monitoring systems still need to be improved; at the same time, when the existing technology monitors the state of transformers, it continuously monitors various parameter signals at the same time, and there is a certain degree of monitoring waste of resources
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[0053] Below, in conjunction with the accompanying drawings and specific embodiments, a further description of the invention is made.
[0054] The present invention is based on the inventor in practical applications, the prior art mentioned in the application of various transformer fault diagnosis methods found insufficient and proposed improvements. Therefore, in order to better understand the source of the invention conception and creative improvement of this application, the relevant prior art is first introduced, including the coding rules involved in the trilogy method and the regional coding rules involved in the David trigonometry.
[0055] Figure 1 It is a schematic diagram of the existing technology to determine the fault state of the transformer by the three-ratio method.
[0056] Conventional trimeters require the simultaneous recognition of C 2 H 4 、CH 4 、C 2 H 2 、C 2 H 6 and H 2 A total of 5 characteristic gases are contained, and then C is combined in two character...
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The present invention proposes a transformer digitized intelligent detection method and monitoring system, which belong to the technical field of transformer state detection. The method includes: S100: connecting the transformer to a local power grid with multiple standard loads; S200: obtaining the first preset time period Standard output parameters within; S300: Connect the transformer to the actual power grid; S400: Obtain the external operating state parameters; S500: Determine whether to obtain the internal environment parameters of the transformer to be detected; if yes, enter the next step; otherwise, return to the above One step; S600: Obtain the internal environment parameters of the transformer; the system includes a digital encoding subsystem, an encoding state database, and a standard output parameter library, and the standard output parameter library includes digital standard encoding corresponding to a plurality of standard output parameter values; the present invention can be based on standard load parameters and actual external operating parameters to realize digital intelligent detection of transformers.
Description
Technical field [0001] The present invention belongs to the field of transformer state detection technology, in particular to a transformer digital intelligent detection method and monitoring system, the computer-readable storage medium that implements the method. Background [0002] As one of the most core hub equipment of the power system, the working condition of the transformer directly determines whether the entire power grid can operate safely and smoothly. Digital monitoring, as an important part of the smart grid, can be said to be the hub of the smart grid, especially for the safe operation of the UHV large power grid, which is of great significance, and its purpose is to adapt to the requirements of strong grid dispatching and construction and power grid operation safety, reliability, flexibility and coordination, high quality, high efficiency and economic and environmental protection. In order to avoid greater harm caused by distribution transformer failure, realizing...
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IPC IPC(8): H02J13/00G01R31/00G01R31/14
CPCH02J13/00002H02J13/00034G01R31/00G01R31/1227G01R31/14
Inventor 杨文强郑含博赵飞袁福强陈鑫
Owner 山东和兑智能科技有限公司