黑盒B-box新版做了以下更新：
1.改善原有货币的交易，入场条件，止盈金额 ,新增一组货币对，交易频率增加，提高准确率。
2.参数设置升级，记录值数据添加3行+4列模式，让你随时可知晓开仓加仓状态，方便整套系统的把控。
3.优化仓位配比比例，优化初始仓位,新增小周期界面到图表，更加明确入场方式 。
4.升级开仓和平仓的指标周期值，加入新的指标共振程序，更加满足入场条件，加大程序自动化交易风控，适合所有投资者
5.新增“一键平全部订单”和“一键平黑盒订单”交互式按钮 ，优化参数设置界面，增加最大点差限制。
6.剔除加载时的访问界面 ，使用Strict函数，增加格式化，减少漏洞，防止漏单和避免在停盘时交易 ，增加点差补偿机制，更好的适应大点差 。
The new version of the black box B-box has been updated as follows:
1. improve the original currency transactions, entry conditions, take profit amount, add a group of currency pairs, increase the transaction frequency and improve the accuracy.
2. The parameter setting is upgraded, and the mode of 3 rows +4 columns is added to the recorded value data, so that you can know the status of opening and adding positions at any time, which is convenient for the control of the whole system.
3. Optimize the ratio of positions, optimize the initial positions, add a small cycle interface to the chart, and make the admission mode clearer.
4. Upgrade the index cycle value of opening and closing positions, add new index resonance procedures, better meet the admission conditions, and increase the risk control of program automation transactions, which is suitable for all investors (2020-12-27, C/C++, 459KB, 下载2次)
利用加速度信号测量位移是油田抽油井光杆位移测量的主要方法 而加速度信号的随机噪声和趋势项是影响
测量精度的主要因素 本文提出了一种基于学习的实时消噪和剔除趋势项方法 学习时先获取一段时间的加速度信
号 再通过时间序列分析技术得出 ARIMA 模型及其参数 最后基于 FFT 变换的 Rife-Jane 频率估计方法求出加速度
信号的周期 在线实时消噪和剔除趋势项方法是基于学习阶段所得模型参数 运用卡尔曼滤波技术消除加速度信号
随机噪声 按周期两次积分得到光杆位移 用加窗递推最小二乘法在线消除趋势项 通过抽油机半实物仿真平台测试
和分析加速度信号 结果表明 该方法有效地去除了加速度信号中的噪声和趋势项 极大地提高了位移的测量精度
Acceleration signal based approach is a main approach used to measure the displacement of polish rod in the
oilfield pumping wells. In this study a learning based real time noise immunization and trend term elimination approach is
proposed. During the learning acceleration signal within a period of time are firstly acquired then corresponding ARIMA
model and its parameters are derived finally the period of the acceleration signal is computed by using FFT transformation
and Rife Jane frequency estimation. The proposed approach bases the model obtained parameters uses Kalman filtering
techniques to remove random noise computes the polish rod displacement by a quadratic integration of the period and
eliminates the trend term by windowed recursive least squares method. Eventually an experiment over a pumping unit
hardware in the loop plant is carried out which indicates that the proposed approach can effectively eliminate noise and trend
term and obviously improve the measuring pre (2014-12-14, C/C++, 1410KB, 下载25次)
一， 一般步骤
（1），消除或减小恒定系差
（2），求测量数据的数学期望 ，即算术平均值 ：
， 其中n为测量数据次数， 为第 次测量的数据。
（3），求剩余误差 ：
（4），根据贝塞尔公式求标准偏差 ：
（5），检查是否有粗大误差。检查时用了肖维纳准则。如果某次测量的结果 所对应的 ，则认为是坏值，予以剔除。
（6），如有坏值，剔除后重新进行步骤（2）～（5）的计算，直至无坏值为止。
（7），判断有无变值系差。判断是可用马利科夫准则或阿卑—赫梅特准则。
（8），求出算术平均值的标准偏差 ：
必须注意，如前面计算中曾出现坏值，则这里的 应为剔除后重新计算出的标准偏差。
（9），求算术平均值的不确定度
a general steps (a) to eliminate or reduce the lines is constant (2), the measurement data for the mathematical expectation, that arithmetic average :, in which n is the number of measurement data for the first time measurement data. (3), for the remaining error : (4), according to Bessel formula for standard deviation : (5) to check whether there is a large error. Check with the Xiaoweina criteria. If a certain measurements corresponding to the results, think it is bad value, be removed. (6), if a bad value, after excluding re-steps (2) to (5), until no bad value date. (7), with or without value judgment is poor. Judgment is available Malikefu guidelines or A 171-Hemeite criteria. (8), calculated arithmetic average of the standard deviation : the need attention, as previously had calculat (2006-04-29, C/C++, 35KB, 下载48次)