QQDDP

由于太阳能充电系统多在户外，为了方便研究太阳能充电控制系统对蓄电池的充电情况，本文使用GPRS无线传输技术，设计了一套太阳能充电系统蓄电池的充电电压电流远程实时监测系统。系统的硬件部分由电压电流检测电路、单片机STC89C52RC、GPRS模块SIM300以及相应的外围电路构成，下位机软件由C语言编写并与硬件部分构成系统下位机部份，实现了对充电电压电流的信息采集以及数据的无线数传。上位机在LabVIEW2010环境下编写，具备友好的人机交互界面，实现了数据的远程接收、实时显示、数据库管理、报表生成和打印等功能。经过系统测试系统实现了对电压电流的远程监测。(As the solar charging system more outdoors, in order to facilitate the study of solar charge control system for charging the battery case, we use GPRS wireless transmission technology, we designed a solar charging system battery charge voltage and current remote monitoring system. The hardware part of the system by the voltage and current detecting circuit, microcontroller STC89C52RC, GPRS module SIM300 and corresponding peripheral circuits, lower computer software written in C language and hardware parts lower position machine part of the system, the realization of the charging voltage and current information collection and wireless data transmission of data. PC at LabVIEW2010 prepared environment, with friendly interactive interface, realize the remote receiving data, real-time display, management, report generation and printing. After the system test system enables remote monitoring of voltage and current.)

里面有定时器的基本用法

多目标遗传算法，求得pareto最优解集，可以用于各种工程的数学计算(Multi-objective genetic algorithm, pareto optimal solution set is obtained, can be used for a variety of engineering mathematics)

能够对表很好的识别和仿真效果，能够识别起到面机电信号(To identify and simulation results table is very good, can identify to surface electrical signals)

说明：  一款可以运行在系统上的游戏，有详细的注释。(A game that runs on Android)

TMS320F28335的PWM波形输出程序。内有丰富的中文注释.rar

python2.7写的一个串口通信助手 (python serial )

off 转stl ，很好的转换软件源码。实现了off三维格式向stl三维格式转换，可用于CAD、ProE等软件对接。( Turn off to stl, good conversion software source code. Off to achieve a three-dimensional format stl three-dimensional format conversion, it can be used in CAD, ProE and other software docking.)

顶级知名公司内部的培训资料，很好的资料培训资料，很好的资料(top company material .....................)

关键词：C# 遗传算法 多目标寻优 智能优化 欢迎大家交流学习(Keywords: C# genetic algorithm for multi-objective optimization of intelligent optimization welcome to share their knowledge)