Thermal power plant electric heating energy state data transmission interference risk index prediction method

By collecting and processing the electric and heating energy state data of thermal power plants, predicting the interference risk index and optimizing the data interaction frequency, the dependence on high-precision equipment and complex signal tracking in the existing technology is solved, and low-cost and simple optimized interference risk prediction is achieved.

CN119721685APending Publication Date: 2025-03-28LIAONING DONGKE ELECTRIC POWER
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Patent Information

Application Number
CN202411764027.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

When determining whether there is interference risk in the transmission of electric heating energy status data in thermal power plants, the prior art needs to rely on high-precision equipment and complex signal tracking processes, and are susceptible to environmental factors.

Method used

By collecting the electric and heating energy state data in the operating state of the thermal power plant, defining the interference risk index formula, establishing a time series and normalizing it, calculating the impact factor and predicting the interference risk index at the next moment, and optimizing the interaction frequency between the data and the platform.

Benefits of technology

It realizes the risk of interference in the data transmission of electric heating energy state of thermal power plants without high-precision equipment, reduces the prediction cost, simplifies the optimization process, and reduces the dependence on environmental factors.

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Abstract

The invention belongs to the technical field of data transmission acquisition and risk discrimination, and particularly relates to a thermal power plant electric heating energy state data transmission interference risk index prediction method. Comprising the following steps: defining a thermal power plant electrothermal energy state data transmission interference risk index formula, and collecting state data according to an interference risk index definition; establishing a thermal power plant electric heating energy state data time sequence according to the collected state data, and performing normalization processing; calculating an influence factor of the electric heating energy state data of the thermal power plant at the next moment, a predicted value of a normalized value and a predicted value of a transmission interference risk index by using the normalized state data; and judging whether the interaction frequency of the electric heating energy state data of the thermal power plant at the next moment and the monitoring platform is normal or not. According to the method, the interaction frequency of the electric heating energy state data of the thermal power plant at the next moment and the platform can be optimized, the prediction cost is low, the applicability is wide, and the optimization process is simple.
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