摘要：【中文】本公开提供了一种偏航对风异常检测方法、装置、设备和存储介质。所述方法包括：获取指定时间段内的风向偏差角；计算功率性能指数，功率性能指数是用于表征风机发电性能的无量纲数；根据功率性能指数，确定最优风向偏差角；根据风向偏差角的概率分布，确定当前风向偏差角；若最优风向偏差角和当前风向偏差角之差大于预设阈值，则确定检测到偏航对风异常。相比于相关技术中，采用功率拟合曲线来进行偏航对风检测，本申请实施例提供的技术方案，直接采用功率指数，避免了功率曲线拟合效果差的问题，提高了偏航对风检测的准确性。 【EN】The disclosure provides a yaw wind anomaly detection method, a yaw wind anomaly detection device, equipment and a storage medium. The method comprises the following steps: acquiring a wind direction deviation angle in a specified time period; calculating a power performance index which is a dimensionless number used for representing the power generation performance of the fan; determining an optimal wind direction deviation angle according to the power performance index; determining a current wind direction deviation angle according to the probability distribution of the wind direction deviation angle; and if the difference between the optimal wind direction deviation angle and the current wind direction deviation angle is larger than a preset threshold value, determining that the yaw wind-to-wind abnormity is detected. Compared with the prior art that the yaw wind detection is carried out by adopting the power fitting curve, the technical scheme provided by the embodiment of the application directly adopts the power index, so that the problem of poor fitting effect of the power curve is avoided, and the accuracy of the yaw wind detection is improved.

摘要：【中文】本申请实施例公开了一种故障检测方法、模型的训练方法、装置、设备及存储介质。所述方法包括：对于n个风力发电机中的第一风力发电机，获取第一风力发电机的特征数据和实际温度；将第一风力发电机的特征数据分别输入n个风力发电机各自对应的温度预测模型中，得到预测温度集合；基于预测温度集合和第一风力发电机的实际温度，检测第一风力发电机是否存在故障。本申请实施例通过温度预测模型得到预测温度，基于预测温度和实际温度，检测风力发电机是否存在故障，相较于相关技术依赖于工作人员的工作经验，本申请实施例提供的技术方案，可以更准确地检测风力发电机是否存在故障，并及时预警，减轻风力发电机的故障发生率。 【EN】The embodiment of the application discloses a fault detection method, a model training method, a device, equipment and a storage medium. The method comprises the following steps: for a first wind driven generator in the n wind driven generators, acquiring characteristic data and actual temperature of the first wind driven generator; respectively inputting the characteristic data of the first wind driven generator into the temperature prediction models corresponding to the n wind driven generators to obtain a predicted temperature set; based on the set of predicted temperatures and the actual temperature of the first wind turbine, it is detected whether the first wind turbine is malfunctioning. According to the embodiment of the application, the predicted temperature is obtained through the temperature prediction model, whether the wind driven generator has faults or not is detected based on the predicted temperature and the actual temperature, and compared with the technical scheme that the related technology depends on the working experience of workers, the technical scheme provided by the embodiment of the application can more accurately detect whether the wind driven generator has faults or not, timely early warning is carried out, and the fault occurrence rate of the wind driven generator is reduced.

摘要：【中文】本发明揭示一种感光性树脂组成物、一种可固化组成物、一种制造表面改质的量子点的方法及一种使用感光性树脂组成物或可固化组成物制造的彩色滤光器，所述感光性树脂组成物包含(A)黏合剂树脂；(B)光可聚合单体；(C)光聚合起始剂；(D)量子点，经在一个末端处具有硫醇基且在另一末端处具有烷氧基、环烷基、羧基或羟基的化合物表面改质；以及(E)溶剂，所述可固化组成物包含(A’)树脂；(B’)量子点，经由化学式1或化学式2表示的化合物表面改质；以及(C’)溶剂。 【EN】The invention discloses a photosensitive resin composition, a curable composition, a method for manufacturing surface modified quantum dots and a color filter manufactured by using the photosensitive resin composition or the curable composition, wherein the photosensitive resin composition comprises (A) binder resin; (B) a photopolymerizable monomer; (C) a photopolymerization initiator; (D) quantum dots surface-modified with a compound having a thiol group at one end and an alkoxy group, a cycloalkyl group, a carboxyl group, or a hydroxyl group at the other end; and (E) a solvent, the curable composition comprising (A') a resin; (B') a quantum dot surface-modified by the compound represented by chemical formula 1 or chemical formula 2; and (C') a solvent.