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2results about How to "High return" patented technology

Bifacial photovoltaic power generation modules and photovoltaic power generation systems

PendingCN122316207Aincrease radiation dosehigh returnGenerating capacitySUN LIGHT EXPOSURE
This invention relates to a bifacial photovoltaic (PV) power generation module and a PV power generation system. The bifacial PV power generation module includes a mounting frame, photovoltaic cells, a first reflective mirror, and a second reflective mirror. A first mounting plate and a second mounting plate are connected to form a V-shape. n rows of first photovoltaic cells are mounted on the first mounting plate to form a first photovoltaic cell group, and n-1 rows of second photovoltaic cells are mounted on the second mounting plate to form a second photovoltaic cell group. n-1 rows of first reflective mirrors are mounted on the first mounting plate, and n rows of second reflective mirrors are mounted on the second mounting plate. The first reflective mirrors face the second cell group, and the second reflective mirrors face the first cell group. This invention's bifacial PV power generation module increases the amount of sunlight received by the photovoltaic cells, fully utilizing the power generation characteristics of both reflected and direct sunlight from the bifacial cells. It can generate electricity throughout the sunshine period, thus achieving higher power output and allowing users to obtain a higher return on investment.
Owner:华能(临高)新能源有限公司 +1

Federal learning excitation method and system based on two-stage commitment and block chain

PendingCN121940404AEnsure openness and transparencyguarantee fairnessSecuring communicationOperations researchData science
The invention relates to the technical field of federated learning and block chains, in particular to a federated learning incentive method and system based on two-stage commitment and a block chain. According to the technical scheme, the federal learning excitation method based on the two-stage commitment and the block chain comprises the following steps: a reputation evaluation step: dividing interaction behaviors of a client into three conditions of positive interaction, negative interaction and uncertain interaction according to a deviation degree between each round of uploading model updating and a global updating direction of the client, the reputation value of the client is calculated by adopting a subjective logic-based Bayesian reasoning method, and the influence of long-term interaction on the reputation is weakened by introducing a time decay mechanism. By introducing the block chain and the dual-stage commitment mechanism, it is ensured that the server cannot deduct the deserved rewards of the client without being found, the publicity, transparency and fairness of the incentive process are ensured, and the trust of each participant is maintained.
Owner:HEBEI UNIVERSITY