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4 results about "Multiple factors" patented technology

A new energy vehicle energy storage optimization control method based on multi-objective genetic algorithm

PendingCN109376437AWith energy saving effectRealize energy savingGeometric CADDesign optimisation/simulationCouplingNew energy
The invention discloses a new energy vehicle energy storage optimization control method based on a multi-objective genetic algorithm, which comprises the following steps: establishing a control strategy database of the vehicle-mounted energy storage system; establishing characteristic data module of vehicle energy storage system; establishing the evaluation module of multi-factor coupled energy storage system to evaluate the advantages and disadvantages of the current control strategy in the whole life cycle; a multi-objective genetic algorithm is used to optimize the energy-saving control strategies. By comparing and analyzing the effect of each control strategy, the optimal control strategy of new energy vehicle energy storage is obtained under the coupling of multiple factors. Under thecondition that the passenger comfort degree is ensured, the speed command designed by the invention can realize traction energy saving. The speed command obtained from the final design meets the requirements of non-dominated standards, which is very beneficial to the decision-making based on the time uniform distribution standard and the energy consumption sensitivity standard. Aiming at the energy-saving optimization of speed commands under various control strategies of energy storage system, the optimal control strategy of vehicle-mounted energy storage system can be obtained through the comparative analysis of its effects.
Owner:CRRC NANJING PUZHEN CO LTD

Working platform task workload prediction method based on deep learning

The invention discloses a working platform task workload prediction method based on deep learning. The method comprises the steps of obtaining historical client publishing task data and employee completing task data of a working platform; carrying out missing value interpolation and normalization processing on the client publishing task data; training an LSTM deep learning model as a single-factorprediction model; taking an LSTM deep learning model based on a double-attention mechanism as a multi-factor prediction model; inputting the published task data into a single-factor prediction modelto obtain a prediction result of single-factor prediction; and fusing the prediction result into the lifting tree for regression calculation to obtain a prediction value of the workload. According tothe invention, the single-factor prediction model and the multi-factor prediction model are constructed; a work task failure reason is analyzed, a seq2seq model of the double-attention mechanism is selected, regression calculation is carried out in a lifting tree, a final workload prediction value is obtained, prediction results of multiple models are fused, and the optimal prediction value is solved through cooperation.
Owner:WUHAN HOLLOW TECH CO LTD

Method for evaluating malt lipid oxidation degree

ActiveCN106405024AAnticipate freshness in advanceGuaranteed qualityComponent separationTesting beveragesLipid formation2-Nonenal
The invention relates to a method for evaluating malt lipid oxidation degree, and lipoxygenase enzymatic reaction promotion substance content, lipoxygenase enzymatic reaction inhibition substance content, trans-2-nonenal content, nonenal precursor content and lipoxygenase activity are selected as evaluation factors for establishment of a malt lipid oxidation comprehensive evaluation system. According to the method, multiple factors influencing the malt lipid oxidation degree are selected for establishment of the comprehensive evaluation system for the evaluation of the malt lipid oxidation degree, so that freshness of beer can be predicted in advance, and the method is essential to ensure the quality of the beer. The method not only can be used to evaluate the lipid oxidation degree of a single malt sample, but also can be used for macroscopic analysis of different malt varieties and research of difference of the varieties.
Owner:TSINGTAO BREWERY
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