Power transmission and transformation equipment state evaluation method based on big data

Abstract

The invention relates to the technical field of power transmission and transformation equipment state evaluation methods, and provides a power transmission and transformation equipment state evaluation method based on big data, which is higher in independence, more reliable in use and better in man-machine information interactivity, and comprises the following steps of: 1, respectively establishing a regional database by each regional power transformation management system; 2, each regional power transformation manager establishes a related APP client and a client group which can share real-time information with each corresponding regional power transformation management system; 3, inputting basic information of equipment in the corresponding jurisdiction of each regional power transformation management system and regular inspection data into a regional database, and updating the basic information and the regular inspection data in real time; and 4, establishing a superior power transformation management system based on each regional power transformation management system, establishing a superior database by the superior power transformation management system, and establishing information interaction between the regional database in each regional power transformation management system and the superior database in the superior power transformation management system and between the APP client and the superior database in the superior power transformation management system.

Description

technical field [0001] The invention relates to the technical field of a state evaluation method for power transmission and transformation equipment, in particular to a state evaluation method for power transmission and transformation equipment based on big data. Background technique [0002] As we all know, the transmission of current usually leads to loss due to the heating of the line, so when the power is transmitted, the voltage is increased through the substation to make the current smaller to reduce the heat loss. High-voltage electricity is very dangerous, and the target electrical appliances It does not need such a high voltage, which requires reducing the voltage through power transformation. Since multiple power transformations are required in the process of current transmission, the current transmission is called power transmission and transformation. The coverage of power transmission and transformation equipment is very large. The main equipment includes wires,...

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Problems solved by technology

[0002] As we all know, the transmission of current usually leads to loss due to the heating of the line, so when the power is transmitted, the voltage is increased through the transformer to make the current smaller to reduce the heat loss. High voltage is very dangerous, and the target electrical appliances There is no need for such a high voltage, which requires lowering the voltage through power transformation. Since multiple power transformations are required in the process of current transmission, the transmission of current is called power transmission and transformation. The coverage of power transmission and transformation equipment is very large. The main equipment includes wires, transformers, switchgear and high-voltage insulators, etc. Since the power transmission and transformation equipment is huge overall, involving a wide range and complex structure, how to realize online monitoring of power transmission equipment, realize fault prediction of power transmission and transformation equipment, and ensure power Safe transmission has become an important problem related to people's livelihood, so a method for evaluating the status of power transmission and transformation equipment based on big data is proposed for this problem

[0003] After retrieval, the Chinese invention patent published on October 16, 2020 with the publication number CN111784003A discloses a method for evaluating the status of power transmission and transformation equipment based on big data analysis. The steps used are: Step 1: Transformation management in each region The system establishes the equipment basic information database respectively; Step 2: Each regional substation management system collects operation information respectively; Step 3: Each regional substation management system includes the equipment maintenance inspection log database; Step 4: Collects the equipment basic information database, operation information and The maintenance inspection log database data is uploaded to the central evaluation system; Step 5: All equipment data is classified according to equipment type, and then compared with the same type to screen out abnormal operating equipment; Step 6: Compare the equipment operation data with the equipment manufacturer database, and screen out Abnormally operating equipment; Step 7: Merge the abnormally operating equipment data obtained in Step 5 and Step 6 into an abnormal equipment database; Step 8: Evaluate the equipment life cycle according to the weight of each equipment abnormal data type. However, the aforementioned assessment Although the method guarantees the safety of the operation of the entire power transmission and transformation system to a certain extent, its comparative data is relatively scarce. In reality, problems occur in a variety of ways, and different problems are closely related. It is relatively single, and at the same time, the substation management systems in each region only store data, and all evaluations are realized by the central evaluation system, which not only causes a huge workload for the central evaluation system, but also causes delays or interruptions in data transmission, which can easily cause accidents expand

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