摘要：【中文】本发明公开了一种负载型Fe‑Co/ZIF‑67双金属催化剂及其制备方法与应用，所述制备方法包括以下步骤：取ZIF‑67溶液，向ZIF‑67溶液中加入Co²⁺和Fe³⁺并用含OH^‑的溶液调节ZIF‑67溶液的pH超声下反应后收集上述操作后得到的固相部分，煅烧得到Fe‑Co/ZIF‑67双金属催化剂。该催化剂可用于各pH下的废水处理，其制备方法简单且制得的催化剂催化效能高，适用的水质处理范围较广，是一种集高效能、经济、环保、可循环的新型高效催化剂材料。 【EN】The invention discloses a supported Fe-Co/ZIF-67 bimetallic catalyst and a preparation method and application thereof, wherein the preparation method comprises the following steps: adding Co into ZIF-67 solution²⁺And Fe³⁺With a combined OH-containing radical^‑The pH of the ZIF-67 solution is adjusted by the solution, the solid phase part obtained after the operation is collected after the reaction under the ultrasonic wave, and the Fe-Co/ZIF-67 bimetallic catalyst is obtained by calcining. The catalyst can be used for wastewater treatment under various pH values, the preparation method is simple, the prepared catalyst is high in catalytic efficiency, the applicable water quality treatment range is wide, and the catalyst is a novel high-efficiency catalyst material integrating high efficiency, economy, environmental protection and recyclability.

摘要：【中文】本发明提供了一种用于无人艇的自主安全航行方法和无人艇，自主安全航行方法包括如下步骤：S2：采集无人艇当前的行船信息；S4：根据行船信息和航线指令的偏离程度，基于聚类分析算法和PID算法输出建议执行指令；S5：无人艇依照所述建议执行指令航行。根据本发明的自主安全航行方法，利用聚类分析算法的在线学习能力，可以从原理上克服已有方法在不同环境下的自适应性和鲁棒性的缺陷，从而能够使无人艇自主安全航行，具有更高的控制效率、鲁棒性和自适应性，能够应用于对水面环境复杂的场合。 【EN】The invention provides an autonomous safe sailing method for an unmanned ship and the unmanned ship, wherein the autonomous safe sailing method comprises the following steps: s2: collecting current ship information of the unmanned ship; s4: outputting a recommended execution instruction based on a cluster analysis algorithm and a PID algorithm according to the ship information and the deviation degree of the air route instruction; s5: and the unmanned ship executes the instruction navigation according to the suggestion. According to the autonomous safe sailing method, the defects of self-adaptability and robustness of the existing method under different environments can be overcome in principle by utilizing the online learning capacity of the cluster analysis algorithm, so that the unmanned ship can sail autonomously and safely, the control efficiency, the robustness and the self-adaptability are higher, and the method can be applied to occasions with complex water surface environments.

摘要：【中文】本发明公开了一种用于生物荧光芯片的自动对焦方法，包括以下步骤：自适应窗口选取；自适应阈值选取；计算离焦距离和离焦方向；实现样本对焦。本发明根据微孔式PCR芯片的微孔及排列特征自适应的选择及调整窗口位置，以保证对焦对象及其边界区域位于对焦窗口内；根据对焦对象亮度的高低自适应的调整阈值，变化的阈值给后续不同亮度的样本在其对焦曲线的一致性上奠定了基础；本发明得出了微孔式数字PCR芯片荧光图像随离焦距离的变化、其大于阈值的像素数的变化曲线及其分段函数后，根据分段函数及方向判别方法，只需3个位置的荧光图像，即可得出离焦距离和离焦方向，再需一步即可完成对焦，整个过程仅需4步完成对焦。 【EN】The invention discloses an automatic focusing method for a biological fluorescent chip, which comprises the following steps: selecting a self-adaptive window; selecting a self-adaptive threshold value; calculating the defocusing distance and the defocusing direction; and realizing sample focusing. The invention adaptively selects and adjusts the position of the window according to the micropore and the arrangement characteristic of the micropore PCR chip so as to ensure that a focusing object and a boundary area thereof are positioned in the focusing window; the threshold is self-adaptively adjusted according to the brightness of the focusing object, and the changed threshold lays a foundation for the consistency of the focusing curves of samples with different subsequent brightness; after the change of the fluorescent image of the microporous digital PCR chip along with the defocusing distance, the change curve of the number of pixels of the fluorescent image larger than the threshold value and the piecewise function of the fluorescent image are obtained, according to the piecewise function and the direction distinguishing method, the defocusing distance and the defocusing direction can be obtained only by 3 positions of the fluorescent image, focusing can be completed by one step, and the whole process only needs 4 steps to complete focusing.

摘要：【中文】本发明公开了一种有源配电网规划模型的构建方法，在计算设备中执行，包括：建立有源配电网规划模型，该模型包括目标函数和约束条件；获取有源配电网的基本参数，并以规划期内的总投资额最小为目标，采用预定种群算法对规划模型进行求解，输出有源配电网系统的最优规划方案，该最优规划方案中包括规划成本、规划容量和规划位置；其中，目标函数为J＝C^DG+C^L+C^Cap+C^SW+V^DR，其中J为规划期的总投资额，C^DG为规划期内分布式发电机组的投资和运行费用，C^L为线路升级改造所需的投资费用和施工费用，C^Cap为备选电容器的投资费用，C^SW为有功电源的安装和维护费用，V^DR为需求侧响应费用的净现值。本发明还公开了对应的有源配电网规划模型的构建装置和计算设备。 【EN】The invention discloses a method for constructing an active power distribution network planning model, which is executed in computing equipment and comprises the following steps: establishing an active power distribution network planning model, wherein the model comprises a target function and a constraint condition; acquiring basic parameters of the active power distribution network, solving a planning model by adopting a predetermined population algorithm with the aim of minimizing the total investment in a planning period, and outputting an optimal planning scheme of the active power distribution network system, wherein the optimal planning scheme comprises planning cost, planning capacity and planning position; wherein the objective function is J ═ C^DG+C^L+C^Cap+C^SW+V^DRWherein J is the total investment of the planning period, C^DGFor investment and operating costs of distributed generator sets during planning periods, C^LInvestment and construction costs for upgrading and rebuilding lines, C^CapFor investment costs of alternative capacitors, C^SWFor installation and maintenance costs of the active power supply, V^DRThe net present value of demand side response charges. The invention also discloses a construction device and a computing device of the corresponding active power distribution network planning model.

摘要：【中文】本发明公开了一种电网项目需求评价模型的构建方法，适于在计算设备中执行，包括：确定电网公司各项目的候选指标集，并从该候选指标集中确定各项目的需求指标；建立电网项目需求评价模型，该模型包括项目需求指标的三级网络结构，该三级网络结构包括需求指标层、二级需求层和一级需求层；对该需求评价模型进行求解，得到所有需求指标的第一权重矩阵，以及所有二级需求的第二权重矩阵；获取项目对各需求指标的满足程度矩阵，并建立需求指标到二级需求的第一映射关系、以及二级需求到一级需求的第二映射关系；以及基于所建立的映射关系，计算每个项目对各级需求的满足程度。本发明还一并公开了对应的电网项目需求评价模型的构建装置和计算设备。 【EN】The invention discloses a method for constructing a power grid project demand evaluation model, which is suitable for being executed in computing equipment and comprises the following steps: determining a candidate index set of each item of a power grid company, and determining a demand index of each item from the candidate index set; establishing a power grid project demand evaluation model, wherein the model comprises a three-level network structure of project demand indexes, and the three-level network structure comprises a demand index layer, a secondary demand layer and a primary demand layer; solving the demand evaluation model to obtain first weight matrixes of all demand indexes and second weight matrixes of all secondary demands; acquiring a satisfaction degree matrix of each demand index of a project, and establishing a first mapping relation from the demand index to a secondary demand and a second mapping relation from the secondary demand to a primary demand; and calculating the satisfaction degree of each project to each level of requirements based on the established mapping relation. The invention also discloses a construction device and a calculation device of the corresponding power grid project demand evaluation model.

摘要：【中文】本发明公开了一种电力系统效益评价模型的构建方法，在计算设备中执行，包括：基于电力系统各规划效益增益的因果关系图，构建电力系统的规划效益评价模型，该效益评价模型包括清洁低碳效益、规划经济效益、智能高效效益和安全稳定效益这四种属性特征中的至少一种，其中清洁低碳效益包括第一供给侧效益；获取各候选方案的基本参数代入到评价模型中，并采用多属性决策算法对该模型进行求解，以输出各候选方案的优劣性排序。本发明还公开了对应的电力系统效益评价模型的构建装置和计算设备。 【EN】The invention discloses a construction method of a power system benefit evaluation model, which is executed in computing equipment and comprises the following steps: constructing a planning benefit evaluation model of the power system based on a causal relationship graph of each planning benefit gain of the power system, wherein the benefit evaluation model comprises at least one of four attribute characteristics of clean low-carbon benefit, planning economic benefit, intelligent high-efficiency benefit and safety and stability benefit, and the clean low-carbon benefit comprises first supply side benefit; and acquiring basic parameters of each candidate scheme, substituting the basic parameters into the evaluation model, and solving the model by adopting a multi-attribute decision algorithm to output the priority ranking of each candidate scheme. The invention also discloses a corresponding construction device and computing equipment of the power system benefit evaluation model.