摘要：【中文】发明公开了一种聚天冬氨酸锌盐的生产方法，具体是由氨水控制体系pH值，水解聚琥珀酰亚胺（PSI）得聚天冬氨酸（PASP），同时在铵盐存在下，溶解氢氧化锌/氧化锌为可溶性Zn(NH₃)₄(OH)₂，与聚天冬氨酸反应生成聚天冬氨酸锌。该方法在水解PSI成PASP的同时，与PASP生成聚天冬氨酸锌，两步反应同时进行，缩短了工时，节约了能耗；此法直接与锌盐反应，避免了聚天冬氨酸钙中间体的使用，缩减了工序和工时，节能降耗，且避免了大量钙盐的产生。该方法无副产，无废物产生，绿色环保，利于实现工业化生产。 【EN】The invention discloses a production method of polyaspartic acid zinc salt, which comprises the steps of controlling the pH value of a system by ammonia water, hydrolyzing Polysuccinimide (PSI) to obtain Polyaspartic Acid (PASP), and dissolving zinc hydroxide/zinc oxide into soluble Zn (NH) in the presence of ammonium salt₃)₄(OH)₂And reacting with polyaspartic acid to generate polyaspartic acid zinc. The method hydrolyzes PSI into PASP, and simultaneously generates polyaspartic acid zinc with PASP, and the two-step reaction is carried out simultaneously, thereby shortening the working hours and saving the energy consumption; the method directly reacts with zinc salt, avoids the use of a calcium polyaspartate intermediate, reduces working procedures and working hours, saves energy, reduces consumption and avoids the generation of a large amount of calcium salt. The method has no byproduct and waste, is green and environment-friendly, and is beneficial to realizing industrial production.

摘要：【中文】本发明提供一种以液态顺丁烯二酸酐、不同脂肪链的聚氧乙烯醚、水溶性磺化剂为原料，在矿物油存在的体系中分别经酯化、部分磺化连续合成皮革加脂剂的方法。使用了马来酸作两种脂肪醇聚氧乙烯醚的连接集团，并作为磺化位点，通过磺化反应，利用连续化进料生产方式，稳定产品质量、提高设备利用率，易于实现自动化工业生产；整个过程通过连续转料的方式，实现了物料的自动降温，反应过程易控制、转化率高，反应条件温和，操作安全，易于工业化操作。 【EN】The invention provides a method for continuously synthesizing leather fatting agent by respectively esterifying and partially sulfonating liquid maleic anhydride, polyoxyethylene ethers with different fatty chains and water-soluble sulfonating agents serving as raw materials in a system with mineral oil. Maleic acid is used as a connecting group of two fatty alcohol-polyoxyethylene ethers and a sulfonation site, and a continuous feeding production mode is utilized through sulfonation reaction, so that the product quality is stabilized, the utilization rate of equipment is improved, and the automatic industrial production is easy to realize; the whole process realizes the automatic cooling of the materials by a continuous material transferring mode, the reaction process is easy to control, the conversion rate is high, the reaction condition is mild, the operation is safe, and the industrial operation is easy.

摘要：【中文】本发明公开一种聚天冬氨酸锌盐的合成方法，具体是利用锌灰、氧化锌和氢氧化锌中的其中一种作为锌源，提供锌离子和碱性环境，与聚琥珀酰亚胺在消解釜中通过一步法反应生成聚天冬氨酸锌。该方法设备操作简单，原料来源丰富，成本低廉，尤其是通过回用固体危废锌灰，提高了资源利用率，降低了生产成本。该法生成的聚天冬氨酸锌，有效锌含量高；该方法无副产，实现原料循环利用，利于实现工业化生产。 【EN】The invention discloses a method for synthesizing zinc polyaspartate, which specifically comprises the steps of providing zinc ions and an alkaline environment by using one of zinc ash, zinc oxide and zinc hydroxide as a zinc source, and reacting the zinc source with polysuccinimide in a digestion kettle by a one-step method to generate the zinc polyaspartate. The method has the advantages of simple equipment operation, rich raw material sources and low cost, and particularly improves the resource utilization rate and reduces the production cost by recycling the solid hazardous waste zinc ash. The polyaspartic acid zinc generated by the method has high effective zinc content; the method has no by-product, realizes the recycling of raw materials, and is beneficial to the realization of industrial production.

摘要：【中文】本申请涉及目标对象的位置区域确定方法、装置、电子设备及存储介质，该方法通过获取图像序列；获取目标对象在图像序列的当前帧图像中的当前位置区域，并基于当前位置区域确定搜索区域；从当前位置区域确定第一特征信息；第一特征信息包括当前位置区域的语义信息；从搜索区域确定第二特征信息；第二特征信息包括搜索区域的语义信息；基于第一特征信息和第二特征信息确定相似程度值集合；从相似程度值集合确定目标相似程度值；基于目标相似程度值和当前位置区域的尺寸确定目标对象在下一帧图像中的位置区域。如此，通过学习到更高级的语义信息，可以提高对目标对象位置区域跟踪确定的准确度，可以提高目标对象的跟踪精度和鲁棒性。 【EN】The application relates to a method, a device, an electronic device and a storage medium for determining a position area of a target object, wherein the method comprises the steps of acquiring an image sequence; acquiring a current position area of a target object in a current frame image of an image sequence, and determining a search area based on the current position area; determining first characteristic information from a current location area; the first characteristic information comprises semantic information of a current position area; determining second feature information from the search area; the second feature information includes semantic information of the search area; determining a set of similarity degree values based on the first feature information and the second feature information; determining a target similarity value from the similarity value set; and determining the position area of the target object in the next frame of image based on the target similarity value and the size of the current position area. In this way, by learning higher-level semantic information, the accuracy of tracking and determining the target object position region can be improved, and the tracking accuracy and robustness of the target object can be improved.

摘要：【中文】本申请实施例所公开的一种目标对象跟踪方法、系统、电子设备及存储介质，其中，方法包括根据样本图片中样本对象的第一位置区域和多个预设尺度值从对比图片中确定样本对象的多个搜索区域，从第一位置区域中确定样本对象的第一特征集合，从多个搜索区域中确定样本对象在每个搜索区域的第二特征集合，根据第一特征集合和多个第二特征集合确定多个匹配值集合，根据所述多个匹配值集合与预设匹配值的差值确定多个损失值以调整训练跟踪模型的参数，得到训练后的跟踪模型，基于训练后的跟踪模型，能够提高跟踪目标对象的准确性和鲁棒性。 【EN】The method comprises the steps of determining a plurality of search areas of a sample object from a comparison picture according to a first position area of the sample object in a sample picture and a plurality of preset scale values, determining a first feature set of the sample object from the first position area, determining a second feature set of the sample object in each search area from the plurality of search areas, determining a plurality of matching value sets according to the first feature set and the plurality of second feature sets, determining a plurality of loss values according to difference values of the plurality of matching value sets and the preset matching values to adjust parameters of a training tracking model, obtaining the trained tracking model, and improving the accuracy and robustness of the tracking target object based on the trained tracking model.