摘要：【中文】一种积木3D模型智能搭建系统的构建方法，包括下述步骤：（1）创建或导入欲搭建的积木模型的3D模型文件；（2）对3D模型文件进行分层并得到各层切片，各层的切片为矢量多边形数据；（3）将每层切片栅格化，栅格化是指将矢量多边形数据转化为栅格数据；（4）进行各层积木零件的铺设，得到积木3D模型智能搭建系统。得到的积木3D模型智能搭建系统，是用于指导积木模型搭建的积木3D模型搭建方案。操作人员进行积木3D模型搭建时，参照积木3D模型智能搭建系统中各层积木零件的铺设方式，选用相应的积木零件，逐层搭建（通常从最底层开始搭建），最终形成完整的积木3D模型。 【EN】A building block 3D model intelligent building system construction method comprises the following steps: (1) creating or importing a 3D model file of a building block model to be built; (2) layering the 3D model file to obtain slices of each layer, wherein the slices of each layer are vector polygon data; (3) rasterizing each layer of slices, wherein rasterization refers to converting vector polygon data into raster data; (4) and laying each layer of building block parts to obtain a building block 3D model intelligent building system. The obtained building block 3D model intelligent building system is a building block 3D model building scheme for guiding building block model building. When an operator builds a building block 3D model, the laying mode of each layer of building block parts in the building block 3D model intelligent building system is selected, corresponding building block parts are selected, built layer by layer (usually built from the bottommost layer), and finally a complete building block 3D model is formed.

摘要：【中文】本申请公开了一种网络约束的电网备用容量减扣计算方法及相关装置，方法包括：将所有机组根据灵敏度进行升序排列；计算每个机组的在第一最大可调出力下网络断面的潮流值；依次将网络断面的潮流值与阈值比较，若潮流值小于阈值，则依次将潮流值累加；当累加得到的总潮流值大于阈值时，停止潮流值累加，记录最后一个参与潮流值累加的机组位置，得到受限机组；将每个受限机组的第二最大可调出力与受限机组的原始出力作差，并累加，得到网络断面的受限容量。本申请解决了现有的在网络约束下的备用容量的研究中难以将系统的备用容量减扣量化，无法形成较为科学而准确的描述，导致不能很好地应用于实际的电网备用调节优化过程中的技术问题。 【EN】The application discloses a network constrained power grid reserve capacity deduction calculation method and a related device, wherein the method comprises the following steps: arranging all the units in an ascending order according to the sensitivity; calculating the load flow value of the network section of each unit under the first maximum adjustable output; sequentially comparing the power flow value of the network section with a threshold value, and if the power flow value is smaller than the threshold value, sequentially accumulating the power flow value; when the total tidal current value obtained by accumulation is larger than a threshold value, stopping the accumulation of the tidal current value, and recording the position of the last unit participating in the accumulation of the tidal current value to obtain a limited unit; and accumulating the difference between the second maximum adjustable output of each limited unit and the original output of the limited unit to obtain the limited capacity of the network section. The method and the device solve the technical problems that the existing research on the reserve capacity under network constraint is difficult to reduce and quantify the reserve capacity of the system, and scientific and accurate description cannot be formed, so that the method and the device cannot be well applied to the actual power grid reserve regulation optimization process.

摘要：【中文】本申请公开了一种实时市场案例数据的校验方法及装置，其中方法包括：获取实时市场的案例数据，所述案例数据包括母线负荷预测参数、系统负荷预测参数、机组报价参数、机组供热参数、A类机组计划参数、联络线计划参数、平衡裕度参数、断面参数和可切负荷量参数；根据案例数据，结合预置校验规则与案例数据的对应关系，确定案例数据的校验规则；根据案例数据的校验规则，对案例数据进行校验，得到校验结果，从而解决了现有的通过人工核查案例数据，导致在案例数据量大时，核对校验工作需要耗费大量的人力物力，准确率低，且速度慢的技术问题。 【EN】The application discloses a method and a device for verifying real-time market case data, wherein the method comprises the following steps: acquiring case data of a real-time market, wherein the case data comprises bus load prediction parameters, system load prediction parameters, unit quotation parameters, unit heat supply parameters, A-type unit plan parameters, tie line plan parameters, balance margin parameters, section parameters and load capacity cuttable parameters; determining a calibration rule of the case data according to the case data by combining a corresponding relation between a preset calibration rule and the case data; according to the verification rule of the case data, the case data are verified to obtain the verification result, and therefore the technical problems that when the case data are manually verified in the prior art, a large amount of manpower and material resources are consumed for verification work, the accuracy is low, and the speed is low are solved.