摘要：【中文】本发明涉及一种基于牛顿迭代的并联变频恒压控制系统控制方法，首先，建立了并联变频恒压控制系统输出流量在线检测的数学模型，并依据流量模型计算出泵的输出流量，进而确定泵的工作点；其次，依据高效区间稳定裕度最大原则，求解相同扬程情况下高效区间内切圆面积最大的工作点对应的流量Q_op，进而求出泵的最优运行台数N_op；最后，动态调节泵的台数，使每台运行泵的输出流量等于或最接近Q_op，确保并联变频恒压控制系统每台泵高效运行稳定裕度和效率指标最优。 【EN】The invention relates to a control method of a parallel variable-frequency constant-voltage control system based on Newton iteration, which comprises the steps of firstly, establishing a mathematical model for online detection of output flow of the parallel variable-frequency constant-voltage control system, calculating the output flow of a pump according to the flow model, and further determining the working point of the pump; secondly, solving the flow Q corresponding to the working point with the maximum inscribed circle area in the high-efficiency interval under the condition of the same lift according to the principle that the stability margin of the high-efficiency interval is maximum_opFurther, the optimum number N of pumps to be operated is determined_op(ii) a Finally, dynamically adjusting the number of pumps to make the output flow of each running pump equal to or closest to Q_opAnd the high-efficiency operation stability margin and the optimal efficiency index of each pump of the parallel variable-frequency constant-voltage control system are ensured.

摘要：【中文】本发明公开了一种基于离散选择模型的犯罪者作案地识别方法，主要应用于公共安全和犯罪地理的技术领域。该方法融合了警情数据和抓捕数据、POI数据和手机信令数据等多源时空数据，基于离散选择模型原理，增加人群流动环境、犯罪防控环境等数据对犯罪者作案地的量化模型进行了精度优化。相比基本模型，全模型对犯罪者作案地选择的拟合精度提高了8.63％。此方法还通过效应函数和概率函数来计算犯罪者对作案地社区的预期效应以及犯罪者作案地选择的概率，从而准确识别出犯罪者对作案地选择的偏好。采用本发明提供的实施例，能够实现对犯罪者作案地选择精准识别，提高了识别的有效性和准确性，并对警务防控具有重要的参考作用。 【EN】The invention discloses a criminal crime place identification method based on a discrete selection model, which is mainly applied to the technical field of public safety and crime geography. The method integrates multi-source time-space data such as alarm data, capture data, POI data and mobile phone signaling data, and based on the discrete selection model principle, the method increases data such as crowd flowing environment, crime prevention and control environment and the like to perform precision optimization on a quantitative model of a crime place. Compared with the basic model, the fitting precision of the full model for criminal crime choice is improved by 8.63%. The method also calculates the expected effect of the criminal on the crime ground community and the probability of the criminal to select the crime ground through an effect function and a probability function, thereby accurately identifying the preference of the criminal to the crime ground selection. By adopting the embodiment provided by the invention, the criminal can be accurately identified on a crime place, the identification effectiveness and accuracy are improved, and the method has an important reference function on police service prevention and control.