POWER GENERATION PERFORMANCE EVALUATION METHOD AND APPARATUS FOR POWER GENERATOR SET
First Claim
1. A power generation performance evaluation method for a generator set, comprising the following steps of:
- acquiring historical operation data of at least one generator set, wherein the historical operation data are used to characterize the power generation performance of the generator set;
selecting training data of each generator set from the historical operation data;
obtaining a longitudinal power generation amount prediction model of the at least one generator set by calculating the training data of each generator set through an artificial intelligence algorithm based on data mining; and
acquiring to-be-evaluated operation data of a to-be-evaluated generator set among the at least one generator set, and inputting the to-be-evaluated operation data into a corresponding longitudinal power generation amount prediction model to detect whether the longitudinal power generation performance of the to-be-evaluated generator set is normal.
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Abstract
A power generation performance evaluation method and an apparatus thereof for a generator set are provided according to the embodiments of the present invention, which are related to the technical field of power apparatuses and are able to provide an accurate evaluation for the power generation performance of the generator set in combination with historical operation data of the generator set. The method comprises the following steps of: acquiring historical operation data of at least one generator set; selecting training data of each generator set from the historical operation data; obtaining a longitudinal power generation amount prediction model of the at least one generator set by calculating the training data of each generator set through an artificial intelligence algorithm based on data mining; and acquiring to-be-evaluated operation data of a to-be-evaluated generator set among the at least one generator set, and inputting the to-be-evaluated operation data into a corresponding longitudinal power generation amount prediction model to detect whether the longitudinal power generation performance of the to-be-evaluated generator set is normal. Embodiments of the present invention are used for evaluation of the power generation performance of the generator set.
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Citations
24 Claims
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1. A power generation performance evaluation method for a generator set, comprising the following steps of:
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acquiring historical operation data of at least one generator set, wherein the historical operation data are used to characterize the power generation performance of the generator set; selecting training data of each generator set from the historical operation data; obtaining a longitudinal power generation amount prediction model of the at least one generator set by calculating the training data of each generator set through an artificial intelligence algorithm based on data mining; and acquiring to-be-evaluated operation data of a to-be-evaluated generator set among the at least one generator set, and inputting the to-be-evaluated operation data into a corresponding longitudinal power generation amount prediction model to detect whether the longitudinal power generation performance of the to-be-evaluated generator set is normal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A power generation performance evaluation apparatus, comprising:
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a parameter acquiring unit, being configured to acquire historical operation data of at least one generator set, wherein the historical operation data are used to characterize the power generation performance of the generator set; a data screening unit, being configured to select training data of each generator set from the historical operation data acquired by the parameter acquiring unit; a calculating unit, being configured to obtain a longitudinal power generation amount prediction model of the at least one generator set by calculating the training data of each generator set which are selected by the data screening unit through an artificial intelligence algorithm based on data mining; and a detecting unit, being configured to acquire to-be-evaluated operation data of a to-be-evaluated generator set among the at least one generator set, and input the to-be-evaluated operation data into a corresponding longitudinal power generation amount prediction model obtained by the calculating unit to detect whether the longitudinal power generation performance of the to-be-evaluated generator set is normal. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification