摘要：【中文】本发明涉及一种生物电信号传感器的印刷工艺，包括：A、在绝缘介质基材上印刷Ag和AgCl的混合银浆形成电极并烘干；B、继续印刷纯Ag的纯银浆形成导电线路并烘干，其中导电线路与电极之间套印搭接；C、在导电线路上印刷上绝缘油墨形成绝缘介质保护层。本发明的生物电信号传感器的印刷工艺简单，省时省力，制作成本低，采用导电油墨直接印刷形成电极和导电线路，且在印刷过程中直接实现电极和导电线路的搭接，减少工艺流程，制作的生物电信号传感器的导电图案可以灵活多变，导电线路利用绝缘油墨保护。 【EN】The invention relates to a printing process of a bioelectrical signal sensor, which comprises the following steps: A. printing Ag and AgCl mixed silver paste on an insulating medium substrate to form an electrode and drying; B. continuously printing pure silver paste of pure Ag to form a conductive circuit and drying, wherein the conductive circuit is overlapped with the electrode in an overprinting manner; C. and printing insulating ink on the conducting circuit to form an insulating medium protection layer. The printing process of the bioelectrical signal sensor is simple, time-saving and labor-saving, the manufacturing cost is low, the electrode and the conducting circuit are directly formed by printing with the conducting ink, the electrode and the conducting circuit are directly lapped in the printing process, the process flow is reduced, the manufactured conducting pattern of the bioelectrical signal sensor can be flexible and changeable, and the conducting circuit is protected by the insulating ink.

摘要：【中文】本发明公开了一种预制式多边形预应力钢混塔筒及其筒节的制造模具，预制式多边形预应力钢混塔筒包括混凝土基础、多边形混凝土塔筒及预应力钢绞线，混凝土基础包括桩基及支撑平台;支撑平台上表面内设有凹槽；多边形混凝土塔筒底端置于凹槽内，混凝土基础与多边形混凝土筒体采用灌浆料凝结紧固的方法连接；支撑平台上设有多个钢绞线穿筋孔，多边形混凝土塔筒顶部设有用于与钢塔筒连接的钢混过渡段，钢混过渡段上设有多个穿筋孔；预应力钢绞线的下端和上端分别与钢绞线穿筋孔和钢混过渡段上穿筋孔锚固。本发明使混凝土塔筒受力简单、均匀，生产、运输、安装过程更为简便，且安全性更高、成本更低，而且实现了资源的最大化利用，极大降低了成本。 【EN】The invention discloses a prefabricated polygonal prestressed concrete tower cylinder and a manufacturing die of a cylinder section thereof, wherein the prefabricated polygonal prestressed concrete tower cylinder comprises a concrete foundation, a polygonal concrete tower cylinder and prestressed steel strands, wherein the concrete foundation comprises a pile foundation and a supporting platform; the bottom end of the polygonal concrete tower barrel is arranged in the groove, and the concrete foundation and the polygonal concrete barrel are connected by adopting a grouting material condensation fastening method; the supporting platform is provided with a plurality of steel strand reinforcing holes, the top of the polygonal concrete tower barrel is provided with a steel-concrete transition section which is used for being connected with the steel tower barrel, and the steel-concrete transition section is provided with a plurality of reinforcing holes; and the lower end and the upper end of the prestressed steel strand are respectively anchored with the steel strand reinforcement penetrating hole and the reinforcement penetrating hole in the reinforced concrete transition section. The concrete tower tube is simple and uniform in stress, simple and convenient in production, transportation and installation processes, high in safety and low in cost, maximum utilization of resources is realized, and cost is greatly reduced.

摘要：【中文】本发明公开了一种用于一体化农村污水处理设备的玻璃钢材料及其制备方法，属于玻璃钢技术领域，由以下重量份的原料组成：合成树脂80‑140份、邻苯二甲酸二丙烯酯0.5‑2份、有机硅氧烷0.2‑1.5份、环氧固化剂1‑5份、硬脂酸锌3‑8份、碳酸钙(400目)80‑180份、碳酸钙(800目)50‑150份、氧化镁2‑8份、色浆2‑8份、玻璃纤维50‑120份。使用该配方制作的玻璃钢材料的制备方法包括5个步骤。本发明加工性能好，加工过程可自动化，大大提高了生产效率，制备的一体化农村污水处理设备的韧性好、强度高、抗腐蚀能力强，可以满足长期地埋使用的要求，在实践生产中具有良好的应用前景。 【EN】The invention discloses a glass fiber reinforced plastic material for integrated rural sewage treatment equipment and a preparation method thereof, belonging to the technical field of glass fiber reinforced plastics and comprising the following raw materials in parts by weight: 80-140 parts of synthetic resin, 0.5-2 parts of diallyl phthalate, 0.2-1.5 parts of organic siloxane, 1-5 parts of epoxy curing agent, 3-8 parts of zinc stearate, 80-180 parts of calcium carbonate (400 meshes), 50-150 parts of calcium carbonate (800 meshes), 2-8 parts of magnesium oxide, 2-8 parts of color paste and 50-120 parts of glass fiber. The preparation method of the glass fiber reinforced plastic material prepared by the formula comprises 5 steps. The integrated rural sewage treatment equipment has the advantages of good processing performance, automation of the processing process, great improvement of the production efficiency, good toughness, high strength and strong corrosion resistance, can meet the requirement of long-term buried use, and has good application prospect in practical production.

摘要：【中文】本发明公开了一种磁控储能插头，所述磁控储能插头由非磁性材料超级电容、端头电路板、螺线管线圈、端头固定座、充电插头组成，特征在于所述螺线管线圈缠绕在所述非磁性材料超级电容的外层，所述螺线管线圈与所述非磁性材料超级电容及外部控制开关串联形成一个回路，当外部控制开关合上时，所述非磁性材料超级电容通过所述螺线管线圈放电，从而由所述螺线管线圈中的放电电流生成所需要的磁场强度和磁极。在外磁场的配合下实现插头与插座的自动对接或分离的功能。本发明结构简单，具有磁场瞬间可控，使用方便，准确可靠的特点。 【EN】The invention discloses a magnetic control energy storage plug which is composed of a non-magnetic material super capacitor, an end head circuit board, a solenoid coil, an end head fixing seat and a charging plug. The function of automatic butt joint or separation of the plug and the socket is realized under the matching of an external magnetic field. The invention has the characteristics of simple structure, instant controllable magnetic field, convenient use, accuracy and reliability.

摘要：【中文】本发明公开了一种95598故障工单数预测方法，包括使用过采样法选取若干种可能的采样倍率以生成n个不同的数据集；然后利用欠采样法分别剔除这n个数据集中的部分冗余多数类样本；再利用新生成的这n个数据集对应训练n个预测模型；对预测模型进行筛选，剔除带有错误倾向性的预测模型；通过余下的预测模型共同集成投票决定最终待定的故障工单数。该技术方案利用混合采样技术，对采样倍率的选取方式进行改进，并将预测模型的集成学习与数据集的重构技术相结合，利用多个较优的采样倍率进行组合提升来达到更好的采样效果，对95598故障工单数据进行处理，构造故障工单预测模型，从而提高预测模型的预测性能。 【EN】The invention discloses a 95598 fault work order prediction method which comprises the steps of selecting a plurality of possible sampling multiplying powers by using an oversampling method to generate n different data sets; then, respectively eliminating partial redundant majority samples in the n data sets by using an undersampling method; correspondingly training n prediction models by using the n newly generated data sets; screening the prediction models, and removing the prediction models with error tendency; and jointly integrating voting through the rest prediction models to determine the number of finally pending fault tools. According to the technical scheme, a hybrid sampling technology is utilized, a sampling multiplying power selection mode is improved, ensemble learning of a prediction model is combined with a data set reconstruction technology, a plurality of better sampling multiplying powers are combined and improved to achieve a better sampling effect, 95598 fault work order data are processed, a fault work order prediction model is constructed, and therefore the prediction performance of the prediction model is improved.

摘要：【中文】本发明公开了一种基于特征选择的配网工程项目工期预测方法，步骤包括：选择影响工程进度的因素，以及配网工程项目独特的因素，构造因素集；用因素集中的所有因素训练超限学习机分类器，用10折交叉验证得到分类精度p，随机临时剔除因素集中的某个因素，重新训练超限学习机分类器，并用10折交叉验证得到分类精度p′，通过比较筛选确定计算因素，建立工期预测模型进行工期预测计算。利用超限学习机设计了一种多步骤降维的方法，提取配网工程项目数据样本的主要因素，得到数量少但预测能力强的主要因素，用来建立配网工程项目的预测模型，大大减少工程超期完工的可能性，加强工程计划的准确性，有效降低项目超期风险。 【EN】The invention discloses a distribution network engineering project construction period prediction method based on feature selection, which comprises the following steps: selecting factors influencing the project progress, unique factors of the distribution network project and a construction factor set; training the classifier of the overrun learning machine by using all the factors in the factor set, obtaining classification precision p by using 10-fold cross validation, randomly and temporarily removing a certain factor in the factor set, retraining the classifier of the overrun learning machine, obtaining classification precision p' by using 10-fold cross validation, determining calculation factors by comparing and screening, and establishing a construction period prediction model for construction period prediction calculation. A multi-step dimension reduction method is designed by using an overrun learning machine, main factors of a distribution network engineering project data sample are extracted, the main factors with small quantity and strong prediction capability are obtained, and a prediction model of the distribution network engineering project is established, so that the possibility of project overrun completion is greatly reduced, the accuracy of a project plan is enhanced, and project overrun risks are effectively reduced.