886 lines
29 KiB
C
886 lines
29 KiB
C
#include "anemometer_dev.h"
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#include "FreeRTOS.h"
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#include "filter.h"
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#include "inflash.h"
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#include "uart_dev.h"
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#include "fdacoefs.h"
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#include "sht30.h"
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#include "hp203b.h"
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#include "FIR.h"
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#include "LowPassFilter.h"
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#define AVE_TIME 600 //滑动平均时间,秒,最大600
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#define COVER_TINE 10 //探头遮挡后导致的接收次数过小的报错临界次数
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#define LOW_PASS_ALPHA 0.1 //一阶低通滤波器系数
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uint32_t run_time_us;
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// fft检验波形有效性
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arm_rfft_fast_instance_f32 s;
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#define FFT_DATA_LEN 256
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// 浮点数buf
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float32_t rfft_float_buf[FFT_DATA_LEN];
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// fft结果
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float32_t fft_out_f32[ADC_VAL_LEN] = {0};
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//
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int16_t adc_val[ADC_VAL_LEN];
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int16_t adc_val1[ADC_VAL_LEN];
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#define AV_SPEED_LEN 5
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float32_t speed[AV_SPEED_LEN]={0};
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float32_t angle[AV_SPEED_LEN]={0};
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float32_t speedx[AV_SPEED_LEN]={0};
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float32_t speedy[AV_SPEED_LEN]={0};
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uint32_t speedi = 0;
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float32_t av_speed;
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float32_t av_angle;
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float32_t av_speedx= 0;
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float32_t av_speedy=0;
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Weather_param weather_info={0x00};
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mcs_para g_stMcs_Para={0x00};
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error_log g_error_log={0x00};
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void update_mcs_param(float new_wind_speed, float new_wind_dirction);
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float32_t max_val_f32;
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int32_t max_val_index_f32;
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// 多项式插值
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// 返回值是最大值
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float32_t find_maxVal_by_interpolation(float32_t a,float32_t b,float32_t c)
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{
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float32_t d1=0;
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//到达极值点的时间Xmax
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d1 = (a-c)/2.0f/(a-2.0f*b+c);
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return 0.5f*a*d1*(d1-1.0f)-b*(d1-1.0f)*(d1+1.0f)+0.5f*c*d1*(d1+1.0f);
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}
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// 余弦插值找最大值所在的位置
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// 返回值是相位
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float32_t find_maxValPosition_by_sinInterpolation(float32_t a,float32_t b,float32_t c)
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{
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// sin 插值 寻找最大值
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float32_t w_val,sin_val,y_val;
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b=b+0.0000001f;
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w_val = acosf((a+c)/2.0f/b);
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sin_val = sinf(w_val)+0.0000001f;
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y_val = atanf((a-c)/2.0f/b/sin_val);
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// if(isnan(w_val)||isnan(sin_val)||isnan(y_val))
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// {
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// term_printf("isnan \r\n");
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//
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// }
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return (0.0f-y_val)/(w_val+0.0000001f);
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}
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float32_t RSSI;
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/*****************滤波器BUFF**********/
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float32_t buf[1024];
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float32_t buf2[1024];
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/*****************滤波器BUFF**********/
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float32_t cal_tof(q15_t* x,uint32_t len)
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{
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q15_t max_val,dc_offset;
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float32_t echo_p = 0,echo_dt = 0;
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uint32_t max_val_p;
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uint32_t i=0;//stop_position = 0;
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static uint32_t fft_200khz_pos;
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// 计算直流分量 因为数据前端是没有回波的 计算50个数据求平均值 获取直流分量
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arm_mean_q15(x,50,&dc_offset);
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// 信号减去直流分量
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arm_offset_q15(x,-dc_offset,x,len);
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/*****************滤波器**********/
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// arm_mean_q15(x,50,&dc_offset);
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// // 信号减去直流分量
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// arm_offset_q15(x,-dc_offset,x,len);
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// 转换成浮点数
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// arm_q15_to_float(x,buf,len);
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for(i= 0 ;i<len;i++ )
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{
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buf[i] = (float32_t)x[i];
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}
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firBPFFilter(buf,buf2,len);
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// // 数据转换有异常 无法还原成整数
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// arm_float_to_q15(buf2,firFilterTestOutData,len);
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for(i= 0 ;i<len;i++ )
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{
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x[i] = (int16_t)(buf2[i]*2.5f);
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}
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/*****************滤波器**********/
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// fft 中 200khz 所在的位置。
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fft_200khz_pos=(uint32_t)roundf((0.2f/(ADC_SAMP_RATE_MHz/FFT_DATA_LEN)));
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// 查找数组中的最大值和最大值所在的索引
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arm_max_q15(x,len,&max_val,&max_val_p);
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// 最大值前后128个点数据的地址这里预防数组越界
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q15_t* fft_data_q15_buf;
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uint32_t fft_data_add;
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if(max_val_p>=FFT_DATA_LEN/2)
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fft_data_add=max_val_p-FFT_DATA_LEN/2;
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else
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fft_data_add = 0;
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// 找到最大值前128个点的地址
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fft_data_q15_buf = &(x[fft_data_add]);
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// 转换成浮点数
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arm_q15_to_float(fft_data_q15_buf,rfft_float_buf,FFT_DATA_LEN);
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// fft进行转换。
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arm_rfft_fast_f32(&s,rfft_float_buf,fft_out_f32,0);
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// 对fft结果取模
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arm_cmplx_mag_f32(fft_out_f32,rfft_float_buf,FFT_DATA_LEN);
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// 统计200khz 附近的信号强度
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RSSI = rfft_float_buf[fft_200khz_pos-2]+rfft_float_buf[fft_200khz_pos-1]+ rfft_float_buf[fft_200khz_pos]+rfft_float_buf[fft_200khz_pos+1]+rfft_float_buf[fft_200khz_pos+2];
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// 如果RSSI小于
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// 可变RSSI范围
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if(RSSI < ((float)g_stConfigInfo.RSSI_range/100.0))
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// if(RSSI<0.2)
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return -1;
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// 可变参数
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uint16_t max_val_zero_1R5 = max_val * g_stConfigInfo.transducer_cfg_1R5/100;
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uint16_t max_val_zero_4R5 = max_val * g_stConfigInfo.transducer_cfg_4R5/100;
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uint16_t max_val_zero_8R0 = max_val * g_stConfigInfo.transducer_cfg_8R0/100;
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// // 大宇换能器参数 开始
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// // 最大值的0.18倍
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// uint16_t max_val_zero_1R5 = (max_val*15/100);
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// // 最大值的0.45倍
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// uint16_t max_val_zero_4R5 = (max_val*45/100);
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// // 最大值的0.8倍
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// uint16_t max_val_zero_8R0 = (max_val*80/100);
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// // 大宇换能器参数
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// // 无锡电声换能器参数
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// // 最大值的0.18倍
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// uint16_t max_val_zero_1R5 = (max_val*10/100);
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// // 最大值的0.45倍
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// uint16_t max_val_zero_4R5 = (max_val*35/100);
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// // 最大值的0.8倍
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// uint16_t max_val_zero_8R0 = (max_val*65/100);
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//如果最大值位置大于8个周波 则从最大值前前8周波位置开始寻找起始波形。
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// 优化的地方,从最大值位置开始找到达波,可以最大限度排除偶然噪声干扰,
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// 因为噪声在波形到达出 噪声不是很大
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//优化性能,如果不需要则从数组0位置开始寻找其实波形
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if(max_val_p>=(uint32_t)(8*ADC_SAMP_RATE_MHz/DRIVE_FREQ_MHz))
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{
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i = max_val_p-(uint32_t)(8*ADC_SAMP_RATE_MHz/DRIVE_FREQ_MHz);
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}else
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{
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i = 0;
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}
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// 在最大值前寻找起始波形
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for( ; i < max_val_p ; i++)
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{
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// 建议判断顶点,但是容易遇到偶然数据异常 类似于 28 29 28 30 29 28这种情况
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// if( x[i-1] < x[i] && x[i]> x[i+1] )
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// 排除以上数据异常情况,但是有可能就无法检测到30 这个顶点。
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// 故需要检测下一个周期的顶点,然后再减去一个周期的时间。
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if( x[i-2]<x[i-1] && x[i-1] <= x[i] && x[i]>=x[i+1] && x[i+1]>x[i+2])
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{
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// 减去偏置电压
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//temp_val_zero = arr[i]-2048;
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// 判断顶点是否在 15%-%45之间。
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if(x[i] >= max_val_zero_1R5 && x[i] <= max_val_zero_4R5 )
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{
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// 如果找到 函数退出
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//echo_dt = (x[i-1]-x[i+1])/2.0/(x[i-1]-2*x[i]+x[i+1]);
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echo_dt = find_maxValPosition_by_sinInterpolation(x[i-1],x[i],x[i+1]);
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echo_p = (float32_t)i+echo_dt-0*(float32_t)(ADC_SAMP_RATE_MHz/DRIVE_FREQ_MHz);
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return echo_p;
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}
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// 如果15% ~45%之间的数据未找到,则找45-80%的顶点。
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// 判断顶点是否在 45% -- 80% 之间
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if(x[i] >= max_val_zero_4R5 && x[i] <= max_val_zero_8R0)
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{
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// 如果找到 函数推出
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//echo_dt = (x[i-1]-x[i+1])/2.0/(x[i-1]-2*x[i]+x[i+1]);
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echo_dt = find_maxValPosition_by_sinInterpolation(x[i-1],x[i],x[i+1]);
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// 换算成第二个顶点的位置。
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echo_p = (float32_t)i+echo_dt - 1*(float32_t)(ADC_SAMP_RATE_MHz/DRIVE_FREQ_MHz);
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return echo_p;
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}
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}
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}
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// term_printf("bad wave of echo signal \r\n");
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return -1;
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}
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/*
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C B A
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0 0 0 X0
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0 0 1 X1
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0 1 0 X2
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0 1 1 X3
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1 0 0 X4
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1 0 1 X5
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*/
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void change_channel(uint32_t channel)
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{
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// 复位全部通道IO
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HAL_GPIO_WritePin(GPIOC, GPIO_PWM_C_Pin|GPIO_PWM_B_Pin|GPIO_PWM_A_Pin, GPIO_PIN_RESET);
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HAL_GPIO_WritePin(GPIOC, GPIO_RX_A_Pin|GPIO_RX_B_Pin|GPIO_RX_C_Pin, GPIO_PIN_RESET);
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switch(channel)
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{
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case 0x01:
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// N tx S rx
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//HAL_GPIO_WritePin(GPIOC, GPIO_RX_A_Pin, GPIO_PIN_SET);
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// 接收通道
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HAL_GPIO_WritePin(GPIOC, GPIO_RX_A_Pin, GPIO_PIN_SET);
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break;
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case 0x02:
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// N rx S tx
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HAL_GPIO_WritePin(GPIOC, GPIO_PWM_A_Pin, GPIO_PIN_SET);
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HAL_GPIO_WritePin(GPIOC, GPIO_RX_B_Pin, GPIO_PIN_SET);
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break;
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case 0x03:
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// W tx E rx
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HAL_GPIO_WritePin(GPIOC, GPIO_PWM_B_Pin, GPIO_PIN_SET);
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HAL_GPIO_WritePin(GPIOC, GPIO_RX_A_Pin|GPIO_RX_B_Pin, GPIO_PIN_SET);
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break;
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case 0x04:
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// W rx E tx
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HAL_GPIO_WritePin(GPIOC, GPIO_PWM_A_Pin|GPIO_PWM_B_Pin, GPIO_PIN_SET);
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//HAL_GPIO_WritePin(GPIOC, GPIO_RX_A_Pin, GPIO_PIN_SET);
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break;
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}
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}
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void play_one_measure(int16_t* result_data,uint32_t len)
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{
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// 重新初始化PWM定时器
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MX_TIM15_Init();
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//MX_TIM6_Init();
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// adc驱动定时器,保证每次使用前处于停止状态
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HAL_TIM_Base_Stop(&htim6);
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// 计数器复位
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__HAL_TIM_SET_COUNTER(&htim6,0);
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// 校准adc
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//HAL_ADCEx_Calibration_Start(&hadc1,ADC_SINGLE_ENDED);
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// adc dma初始化
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HAL_ADC_Start_DMA(&hadc1,(uint32_t *)result_data,len);
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//禁止全局中断
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// 停止定时器
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__HAL_TIM_DISABLE(&htim7);
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// 重置计数器
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__HAL_TIM_SET_COUNTER(&htim7,0);
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__set_PRIMASK(1);
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// 发送超声波驱动信号
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HAL_TIM_PWM_Start(&htim15,TIM_CHANNEL_1);
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// 延时 REV_MUTE_DELAY us
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//HAL_GPIO_WritePin(GPIOC,GPIO_ACK_LED_Pin,0);
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// 启定时器
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__HAL_TIM_ENABLE(&htim7);
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// 等待定时到达
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while(__HAL_TIM_GET_COUNTER(&htim7)<REV_MUTE_DELAY_US);
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//HAL_GPIO_WritePin(GPIOC,GPIO_ACK_LED_Pin,1);
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// 关闭定时
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__HAL_TIM_DISABLE(&htim7);
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HAL_TIM_PWM_Stop(&htim15,TIM_CHANNEL_1);
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// 开启ADC
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HAL_TIM_Base_Start(&htim6);
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// 使能全局中断
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__set_PRIMASK(0);
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// 等待adc采集完成,且等待超声波换能器能量释放完成,避免通道之间干扰
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//不能使用os_delay();
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osDelay(1);
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// HAL_Delay(3);
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}
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//#define UPDATA_FROM_SERIAL_PORT 1
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//#define DEBUG_TOF_ERR 1
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float32_t tofx,tofy,dtof;
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char str[100];
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//void calculate_tof_dtof_param(Weather_param *parm ,uint32_t direction , int16_t *adc_buf1,int16_t *adc_buf2,uint32_t len)
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//{
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// tofx = cal_tof(adc_buf1,len)/ADC_SAMP_RATE_MHz+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.0001f;
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// tofy = cal_tof(adc_buf2,len)/ADC_SAMP_RATE_MHz+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.0001f;
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// // 通过各通道渡越时间求时间差
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// dtof = tofx-tofy;
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//
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// parm->wind_c = DISTANCE/2.0f*(1.0f/tofx+1.0f/tofy);
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// // v = L*dtof/2/tofx/tofy/cos
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// if(direction == WIND_DIRECTION_X)
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// {
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// parm->wind_velocity_x = 0-DISTANCE*dtof/1.41422f/tofx/tofx;
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// //parm->wind_velocity_x = DISTANCE*c_dtof/1.41422/tofx/tofx;
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// }
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// else
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// {
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// parm->wind_velocity_y = DISTANCE*dtof/1.41422f/tofx/tofx;
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// //parm->wind_velocity_y = DISTANCE*c_dtof/1.41422/tofx/tofx;
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// }
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//}
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void wind_task(void const * argument)
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{
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//错误次数统计,南北,东西分开(接受信号很小)
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uint8_t tof_error_log_NS = 0;
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uint8_t tof_error_log_WE = 0;
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// int flag_init_msc_value = 1;
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arm_rfft_fast_init_f32(&s,FFT_DATA_LEN);
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firFilterInit();
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// 一阶低通滤波器初始化,x,y方向分别滤波
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initLowPassFilter(&low_pass_filter_x, LOW_PASS_ALPHA);
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initLowPassFilter(&low_pass_filter_y, LOW_PASS_ALPHA);
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for(;;)
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{
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__HAL_TIM_DISABLE(&htim16);
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// 采集X轴风速耗时 22ms,两轴采集完44ms
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__HAL_TIM_SET_COUNTER(&htim16,0);
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// 开启定时器,统计算法时间
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__HAL_TIM_ENABLE(&htim16);
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// 通道1 通道2 测试南北风速
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// 通道1发送 通道2接收
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change_channel(0x01);
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// 等待通道切换稳定
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// adc开启采集数据有个固定的延时,这里取消等待
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//HAL_Delay(0);
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// 发送pwm 并启动adc采集数据
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play_one_measure(adc_val,ADC_VAL_LEN);
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//HAL_Delay(5);
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osDelay(1);
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// 通道2发送 通道1接收
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change_channel(0x02);
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// 等待通道切换稳定
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//HAL_Delay(0);
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// 发送pwm 并启动adc采集数据
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play_one_measure(adc_val1,ADC_VAL_LEN);
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tofx = cal_tof(adc_val,ADC_VAL_LEN);
|
||
tofy = cal_tof(adc_val1,ADC_VAL_LEN);
|
||
|
||
|
||
// 接受信号很小
|
||
if(tofx<0||tofy<0)
|
||
{
|
||
tof_error_log_NS ++;
|
||
// 放弃本次采样,可以有效筛选雨滴等导致的异常大的风速数据
|
||
// 但是持续的遮挡会导致风速数据保持不变。
|
||
// 连续10次采样有问题判定为有遮挡,置错误标志位,将声速与风速分量置0
|
||
if(tof_error_log_NS >= COVER_TINE)
|
||
{
|
||
g_error_log.tof_error_NS = 1;
|
||
|
||
weather_info.wind_c = 0;
|
||
weather_info.wind_velocity_x = 0;
|
||
}
|
||
else
|
||
{
|
||
continue;
|
||
}
|
||
// 手动设置渡越时间差为0,会在探头受遮挡的时候输出0,持续遮挡的时候也输出0,但是计算出声速将变得很大
|
||
// tofx = tofx/ADC_SAMP_RATE_MHz+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.0001f;
|
||
// tofy = tofy/ADC_SAMP_RATE_MHz+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.0001f;
|
||
// dtof = 0;
|
||
}else{
|
||
// 遮挡没有之后数据正常,将标志位取消,错误计数置零
|
||
tof_error_log_NS = 0;
|
||
g_error_log.tof_error_NS = 0;
|
||
// 计算成us
|
||
tofx = ((tofx-FIR_PHASE_DELAY)/ADC_SAMP_RATE_MHz)+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.0001f - 2.0f;
|
||
tofy = ((tofy-FIR_PHASE_DELAY)/ADC_SAMP_RATE_MHz)+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.0001f - 2.0f;
|
||
// 通过各通道渡越时间求时间差
|
||
dtof = tofx-tofy;
|
||
|
||
weather_info.wind_c = DISTANCE/2.0f*(1.0f/tofx+1.0f/tofy);
|
||
// weather_info.wind_velocity_x = 0-DISTANCE*dtof/1.41422f/tofx/tofx;
|
||
// 修正公式
|
||
weather_info.wind_velocity_x = 0-DISTANCE*dtof/1.41422f/tofx/tofy;
|
||
}
|
||
|
||
// 通道3 通道4 测试东西风速
|
||
// 通道3发送 通道4接收
|
||
change_channel(0x03);
|
||
// 等待通道切换稳定
|
||
//HAL_Delay(0);
|
||
// 发送pwm 并启动adc采集数据
|
||
play_one_measure(adc_val,ADC_VAL_LEN);
|
||
//HAL_Delay(5);
|
||
osDelay(1);
|
||
// 通道4发送 通道3接收
|
||
change_channel(0x04);
|
||
// 等待通道切换稳定
|
||
//HAL_Delay(0);
|
||
// 发送pwm 并启动adc采集数据
|
||
play_one_measure(adc_val1,ADC_VAL_LEN);
|
||
|
||
|
||
tofx = cal_tof(adc_val,ADC_VAL_LEN);
|
||
tofy = cal_tof(adc_val1,ADC_VAL_LEN);
|
||
|
||
// 如果测量的信号幅值过小。
|
||
if(tofx<0||tofy<0)
|
||
{
|
||
tof_error_log_WE ++;
|
||
// 放弃本次采样,可以有效筛选雨滴等导致的异常大的风速数据
|
||
// 但是持续的遮挡会导致风速数据保持不变。
|
||
// 连续10次采样有问题判定为有遮挡,置错误标志位,将声速与风速分量置0
|
||
if(tof_error_log_WE >= COVER_TINE)
|
||
{
|
||
g_error_log.tof_error_WE = 1;
|
||
|
||
weather_info.wind_c = 0;
|
||
weather_info.wind_velocity_y = 0;
|
||
}
|
||
else
|
||
{
|
||
continue;
|
||
}
|
||
// 手动设置渡越时间差为0,会在探头受遮挡的时候输出0,持续遮挡的时候也输出0,但是计算出声速将变得很大
|
||
// tofx = tofx/ADC_SAMP_RATE_MHz+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.0001f;
|
||
// tofy = tofy/ADC_SAMP_RATE_MHz+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.0001f;
|
||
// // 通过各通道渡越时间求时间差
|
||
// dtof = 0;
|
||
|
||
}else{
|
||
// 遮挡没有之后数据正常,将标志位取消,错误计数置零
|
||
tof_error_log_WE = 0;
|
||
g_error_log.tof_error_WE = 0;
|
||
// 计算成us
|
||
tofx = ((tofx-FIR_PHASE_DELAY)/ADC_SAMP_RATE_MHz)+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.000001f - 2.0f;
|
||
tofy = ((tofy-FIR_PHASE_DELAY)/ADC_SAMP_RATE_MHz)+REV_MUTE_DELAY_US-1.0f/DRIVE_FREQ_MHz+0.000001f - 2.0f;
|
||
// 通过各通道渡越时间求时间差
|
||
dtof = tofx-tofy;
|
||
|
||
weather_info.wind_c = DISTANCE/2.0f*(1.0f/tofx+1.0f/tofy);
|
||
// weather_info.wind_velocity_y = DISTANCE*dtof/1.41422f/tofx/tofx;
|
||
// 修正公式
|
||
weather_info.wind_velocity_y = DISTANCE*dtof/1.41422f/tofx/tofy;
|
||
}
|
||
|
||
weather_info.wind_velocity = sqrtf(weather_info.wind_velocity_x*weather_info.wind_velocity_x + weather_info.wind_velocity_y*weather_info.wind_velocity_y);
|
||
// 分母加0.0001 保证分母不为0
|
||
weather_info.wind_angle = acosf(weather_info.wind_velocity_x/(weather_info.wind_velocity+0.000001f));
|
||
|
||
|
||
// 关闭定时器·
|
||
__HAL_TIM_DISABLE(&htim16);
|
||
// 显示时间 单位us
|
||
run_time_us = __HAL_TIM_GET_COUNTER(&htim16) * 100;// htim16).Instance->CNT;
|
||
|
||
speedx[speedi] = weather_info.wind_velocity_x;
|
||
speedy[speedi] = weather_info.wind_velocity_y;
|
||
speed[speedi] = weather_info.wind_velocity;
|
||
angle[speedi++] = weather_info.wind_angle*180/PI;
|
||
|
||
if(speedi>=AV_SPEED_LEN)
|
||
{
|
||
speedi=0;
|
||
arm_mean_f32(speedx,AV_SPEED_LEN,&av_speedx);
|
||
arm_mean_f32(speedy,AV_SPEED_LEN,&av_speedy);
|
||
/* 一阶低通滤波器 */
|
||
av_speedx = updateFilter(&low_pass_filter_x, av_speedx);
|
||
av_speedy = updateFilter(&low_pass_filter_y, av_speedy);
|
||
/* 一阶低通滤波器 */
|
||
av_speed = sqrtf(av_speedx*av_speedx + av_speedy*av_speedy);
|
||
av_angle = acosf(av_speedx/(av_speed+0.00000001))/2/PI*360;
|
||
if(av_speedy<0)
|
||
av_angle = 360-av_angle;
|
||
if(fabs(av_speed)<0.1)
|
||
{
|
||
av_speed = 0;
|
||
av_angle = 0;
|
||
}
|
||
/// term_printf("x:%.2f y:%.2f win_speed %.2f m/s angle %.2f \r\n",av_speedx,av_speedy,av_speed,av_angle);
|
||
}
|
||
|
||
///term_printf("win_speed %.2f \r\n",weather_info.wind_velocity);
|
||
//HAL_Delay(1);
|
||
//osDelay(3//
|
||
//kan ni osDelay(6);
|
||
#if 0
|
||
if(cnt < 10){
|
||
wind_speed_data[cnt].fValue = weather_info.wind_c;
|
||
wind_direcion_data[cnt].fValue = weather_info.wind_velocity;
|
||
cnt++;
|
||
}else{
|
||
cnt=0;
|
||
U_DataType tmp_wind_speed_value = filter_middle(wind_speed_data,10, FILTER_DATA_TYPE_FLOAT);
|
||
U_DataType tmp_wind_direction_value = filter_middle(wind_direcion_data,10, FILTER_DATA_TYPE_FLOAT);
|
||
update_mcs_param(tmp_wind_speed_value.fValue, tmp_wind_direction_value.fValue);
|
||
}
|
||
#endif
|
||
//osDelay(38);
|
||
// if(flag_init_msc_value== 1){
|
||
// flag_init_msc_value = 0;
|
||
// g_stMcs_Para.min_wind_direction = weather_info.wind_c;
|
||
// g_stMcs_Para.average_wind_direction = weather_info.wind_c;
|
||
// g_stMcs_Para.max_wind_direction = 0;
|
||
//
|
||
// g_stMcs_Para.min_wind_speed = weather_info.wind_velocity;
|
||
// g_stMcs_Para.average_wind_speed = weather_info.wind_velocity;
|
||
// g_stMcs_Para.max_wind_speed = 0;
|
||
// }
|
||
// update_mcs_param(weather_info.wind_velocity, weather_info.wind_c);
|
||
}
|
||
/* USER CODE END wind_task */
|
||
}
|
||
|
||
/* 更新微气象站气象数据 */
|
||
/* 风向、风向瞬时值:3s的滑动平均值,以1s为步长
|
||
* 风速、风向平均值:以1min为步长,求xx分钟的滑动平均值,默认10分钟平均风速风向
|
||
* 最大风速、风向:从10min平均风速中选取;
|
||
*/
|
||
#define K_3S (3*1/3)
|
||
#define K_1MIN (3*3/60)
|
||
#define K_10MIN (3*60/600)
|
||
|
||
int time_1s=0,time_11s=0,time_111s=0;
|
||
int flag_time_1s=0,flag_time_3s=0,flag_time_1min=0,flag_time_10min=0;
|
||
float Yn_sp_3s_average_value=0.0,Yn_1_sp_3s_average_value=0.0,yn_3s_sp_value=0.0;
|
||
float Yn_sp_1min_average_value=0.0,Yn_1_sp_1min_average_value=0.0,yn_1min_sp_value=0.0;
|
||
float Yn_sp_10min_average_value=0.0,Yn_1_sp_10min_average_value;
|
||
|
||
float Yn_dir_3s_average_value=0.0,Yn_1_dir_3s_average_value=0.0,yn_3s_dir_value=0.0;
|
||
float Yn_dir_1min_average_value=0.0,Yn_1_dir_1min_average_value=0.0,yn_1min_dir_value=0.0;;
|
||
float Yn_dir_10min_average_value=0.0,Yn_1_dir_10min_average_value;
|
||
|
||
float max_speed_value=0.0,max_direction_value=0.0,min_speed_value,min_direction_value=0.0;
|
||
|
||
|
||
|
||
void update_mcs_param(float new_wind_speed, float new_wind_dirction)
|
||
{
|
||
static int flag1=0;
|
||
static int flag11=0;
|
||
static int flag111=0;
|
||
|
||
|
||
time_1s++;
|
||
if(time_1s==3){
|
||
time_1s=0;
|
||
flag_time_3s=1;
|
||
}
|
||
|
||
time_11s++;
|
||
if(time_11s==20){
|
||
time_11s=0;
|
||
flag_time_1min=1;
|
||
}
|
||
|
||
time_111s++;
|
||
if(time_111s==g_stConfigInfo.speed_average_time*60){
|
||
time_111s=0;
|
||
flag_time_10min = 1;
|
||
}
|
||
|
||
/* 以1s为步长,计算3s风速风向滑动平均值 */
|
||
flag_time_1s=1;
|
||
if(flag_time_1s){
|
||
|
||
if(flag1 ==0){
|
||
Yn_1_sp_3s_average_value = new_wind_speed;
|
||
Yn_1_dir_3s_average_value=new_wind_dirction;
|
||
flag1=1;
|
||
}
|
||
|
||
|
||
//flag_time_1s=0;
|
||
Yn_sp_3s_average_value = K_3S*(new_wind_speed - Yn_1_sp_3s_average_value) + Yn_1_sp_3s_average_value;
|
||
Yn_1_sp_3s_average_value = Yn_sp_3s_average_value;
|
||
|
||
Yn_dir_3s_average_value = K_3S*(new_wind_dirction - Yn_1_dir_3s_average_value) + Yn_1_dir_3s_average_value;
|
||
Yn_1_dir_3s_average_value = Yn_dir_3s_average_value;
|
||
|
||
}
|
||
|
||
/* 以3s为步长,计算1min滑动平均风速 */
|
||
if(flag_time_3s){
|
||
if(flag11 ==0){
|
||
Yn_1_sp_1min_average_value = Yn_sp_3s_average_value;
|
||
Yn_1_dir_1min_average_value = Yn_dir_3s_average_value;
|
||
flag11=1;
|
||
}
|
||
|
||
|
||
flag_time_3s=0;
|
||
Yn_sp_1min_average_value = K_1MIN*(Yn_sp_3s_average_value - Yn_1_sp_1min_average_value) + Yn_1_sp_1min_average_value;
|
||
Yn_1_sp_1min_average_value = Yn_sp_1min_average_value;
|
||
|
||
Yn_dir_1min_average_value = K_1MIN*(Yn_dir_3s_average_value - Yn_1_dir_1min_average_value) + Yn_1_dir_1min_average_value;
|
||
//Yn_1_dir_1min_average_value = Yn_dir_1min_averの‘dvv,f;age_value;
|
||
}
|
||
|
||
/* 以1min为步长,计算10min滑动平均风速 */
|
||
if(flag_time_1min){
|
||
|
||
if(flag111 ==0){
|
||
Yn_1_sp_10min_average_value = Yn_sp_1min_average_value;
|
||
Yn_1_dir_10min_average_value = Yn_dir_1min_average_value;
|
||
flag111=1;
|
||
}
|
||
|
||
flag_time_1min = 0;
|
||
Yn_sp_10min_average_value = K_10MIN*(Yn_sp_1min_average_value - Yn_1_sp_10min_average_value) + Yn_1_sp_10min_average_value;
|
||
Yn_1_sp_10min_average_value = Yn_sp_10min_average_value;
|
||
|
||
Yn_dir_10min_average_value = K_10MIN*(Yn_dir_1min_average_value - Yn_1_dir_10min_average_value) + Yn_1_dir_10min_average_value;
|
||
Yn_1_dir_10min_average_value = Yn_dir_10min_average_value;
|
||
}
|
||
|
||
/* 统计最大风速风向,及平均风速 */
|
||
if(flag_time_10min){
|
||
flag_time_10min = 0;
|
||
if(max_direction_value < Yn_dir_10min_average_value){
|
||
max_direction_value = Yn_dir_10min_average_value;
|
||
}
|
||
if(min_direction_value > Yn_dir_10min_average_value){
|
||
min_direction_value = Yn_dir_10min_average_value;
|
||
}
|
||
|
||
if(max_speed_value < Yn_sp_10min_average_value){
|
||
max_speed_value = Yn_sp_10min_average_value;
|
||
}
|
||
if(min_speed_value > Yn_sp_10min_average_value){
|
||
min_speed_value = Yn_sp_10min_average_value;
|
||
}
|
||
|
||
g_stMcs_Para.min_wind_direction = min_direction_value;
|
||
g_stMcs_Para.average_wind_direction = Yn_dir_10min_average_value;
|
||
g_stMcs_Para.max_wind_direction = max_direction_value;
|
||
|
||
g_stMcs_Para.min_wind_speed = min_speed_value;
|
||
g_stMcs_Para.average_wind_speed = Yn_sp_10min_average_value;
|
||
g_stMcs_Para.max_wind_speed = max_speed_value;
|
||
|
||
}
|
||
}
|
||
|
||
SlidingWindow_10min win_10min = {0};
|
||
|
||
//求和函数
|
||
float sum(float arr[], int n)
|
||
{
|
||
float total = 0;
|
||
for(int i = 0; i < n; i++)
|
||
{
|
||
total += arr[i];
|
||
}
|
||
return total;
|
||
}
|
||
|
||
//int times_1s_3sec = 0;
|
||
//int times_1s_1min = 0;
|
||
|
||
// 线性插值函数
|
||
//float linear_interpolation(float x0, float y0, float x1, float y1, float x) {
|
||
float linear_interpolation(float x) {
|
||
float y;
|
||
//开始插值
|
||
uint8_t num_point = 0;
|
||
float x1 = ((float )g_stConfigInfo.linear_point_1_x)/10;
|
||
float y1 = ((float )g_stConfigInfo.linear_point_1_y)/10;
|
||
float x2 = ((float )g_stConfigInfo.linear_point_2_x)/10;
|
||
float y2 = ((float )g_stConfigInfo.linear_point_2_y)/10;
|
||
float x3 = ((float )g_stConfigInfo.linear_point_3_x)/10;
|
||
float y3 = ((float )g_stConfigInfo.linear_point_3_y)/10;
|
||
float x4 = ((float )g_stConfigInfo.linear_point_4_x)/10;
|
||
float y4 = ((float )g_stConfigInfo.linear_point_4_y)/10;
|
||
float x5 = ((float )g_stConfigInfo.linear_point_5_x)/10;
|
||
float y5 = ((float )g_stConfigInfo.linear_point_5_y)/10;
|
||
// 插值点个数
|
||
num_point = x5!=0?5:x4!=0?4:x3!=0?3:x2!=0?2:x1!=0?1:0;
|
||
// 未使能直接返回原始值,插值点小于2个返回原始值
|
||
if(g_stConfigInfo.linear_enable != 0x01||num_point < 2)
|
||
{
|
||
return x;
|
||
}
|
||
// 小于0点返回0
|
||
if(x<x1)
|
||
{
|
||
return 0;
|
||
}
|
||
// 在前1,2点中间 或者 只有两个点,在2点后
|
||
if((x>=x1&&x<x2&&num_point>=2)||(x>=x2&&num_point==2))
|
||
{
|
||
y = y1 + (x - x1) * (y2 - y1) / (x2 - x1);
|
||
return y;
|
||
}
|
||
// 在前2,3点中间 或者 只有三个点,在3点后
|
||
else if((x>=x2&&x<x3&&num_point>=3)||(x>=x3&&num_point==3))
|
||
{
|
||
y = y2 + (x - x2) * (y3 - y2) / (x3 - x2);
|
||
return y;
|
||
}
|
||
// 在前3,4点中间 或者 只有四个点,在4点后
|
||
else if((x>=x3&&x<x4&&num_point>=4)||(x>=x4&&num_point==4))
|
||
{
|
||
y = y3 + (x - x3) * (y4 - y3) / (x4 - x3);
|
||
return y;
|
||
}
|
||
// 在前4,5点中间 或者 只有五个点,在5点后
|
||
else if((x>=x4&&x<x5&&num_point>=5)||(x>=x5&&num_point==5))
|
||
{
|
||
y = y4 + (x - x4) * (y5 - y4) / (x5 - x4);
|
||
return y;
|
||
}
|
||
// 其他情况
|
||
else
|
||
{
|
||
return x;
|
||
}
|
||
}
|
||
|
||
void my_update_mcs_param(float new_wind_speed, float new_wind_dirction)
|
||
{
|
||
// 十分钟滑动平均值
|
||
win_10min.speed_data[win_10min.index] = new_wind_speed; //添加新数据
|
||
win_10min.direction_data[win_10min.index] = new_wind_dirction;
|
||
|
||
if(win_10min.count < g_stConfigInfo.speed_average_time /*AVE_TIME*/)
|
||
{
|
||
win_10min.count++;
|
||
}
|
||
|
||
if(win_10min.count > g_stConfigInfo.speed_average_time/*AVE_TIME*/){win_10min.count = /*AVE_TIME*/g_stConfigInfo.speed_average_time;}
|
||
//计算10min风速滑动平均值
|
||
win_10min.ave_speed_data[win_10min.index] = sum(win_10min.speed_data, win_10min.count) / win_10min.count;
|
||
//计算10min风向滑动平均值,风向滑动平均值需要过零算法
|
||
float temp_sin_sum = 0;
|
||
float temp_cos_sum = 0;
|
||
for(int i = 0; i < win_10min.count; i++)
|
||
{
|
||
temp_sin_sum += sinf(win_10min.direction_data[i] * PI/180);
|
||
temp_cos_sum += cosf(win_10min.direction_data[i] * PI/180);
|
||
}
|
||
win_10min.ave_direction_data[win_10min.index] = atanf(temp_sin_sum / (temp_cos_sum + 0.0001)) * 180/PI;
|
||
// 不同象限不一样
|
||
// 1象限真实角度=本身
|
||
// 2象限真实角度=+180
|
||
// 3象限真实角度=+180
|
||
// 4象限真实角度=+360
|
||
if((temp_sin_sum > 0 && temp_cos_sum < 0) || (temp_sin_sum < 0 && temp_cos_sum < 0))
|
||
{
|
||
win_10min.ave_direction_data[win_10min.index] += 180;
|
||
}else if (temp_sin_sum < 0 && temp_cos_sum > 0)
|
||
{
|
||
win_10min.ave_direction_data[win_10min.index] += 360;
|
||
}
|
||
|
||
/** 线性插值 **/
|
||
/** win_10min.ave_speed_data[win_10min.index]为风速 **/
|
||
/** win_10min.ave_direction_data[win_10min.index]为风向 **/
|
||
/** 风向不要插值 **/
|
||
win_10min.ave_speed_data[win_10min.index] = linear_interpolation(win_10min.ave_speed_data[win_10min.index]);
|
||
/** 线性插值 **/
|
||
|
||
//默认第一个数据为最大或者最小
|
||
float temp_min_direction = win_10min.ave_direction_data[0];
|
||
float temp_max_direction = win_10min.ave_direction_data[0];
|
||
float temp_min_speed = win_10min.ave_speed_data[0];
|
||
float temp_max_speed = win_10min.ave_speed_data[0];
|
||
//遍历10min内所有数据寻找最大最小
|
||
for (int i = 0; i < win_10min.count; i++) {
|
||
if (win_10min.ave_direction_data[i] < temp_min_direction) {
|
||
temp_min_direction = win_10min.ave_direction_data[i]; // 更新风向最小值
|
||
}
|
||
if (win_10min.ave_direction_data[i] > temp_max_direction) {
|
||
temp_max_direction = win_10min.ave_direction_data[i]; // 更新风向最大值
|
||
}
|
||
if (win_10min.ave_speed_data[i] < temp_min_speed) {
|
||
temp_min_speed = win_10min.ave_speed_data[i]; // 更新风速最小值
|
||
}
|
||
if (win_10min.ave_speed_data[i] > temp_max_speed) {
|
||
temp_max_speed = win_10min.ave_speed_data[i]; // 更新风速最大值
|
||
}
|
||
}
|
||
|
||
g_stMcs_Para.min_wind_direction = temp_min_direction;
|
||
g_stMcs_Para.average_wind_direction = win_10min.ave_direction_data[win_10min.index];
|
||
g_stMcs_Para.max_wind_direction = temp_max_direction;
|
||
|
||
g_stMcs_Para.min_wind_speed = temp_min_speed;
|
||
g_stMcs_Para.average_wind_speed = win_10min.ave_speed_data[win_10min.index];
|
||
g_stMcs_Para.max_wind_speed = temp_max_speed;
|
||
|
||
win_10min.index = (win_10min.index + 1) % /*AVE_TIME*/g_stConfigInfo.speed_average_time; //更新索引
|
||
}
|
||
|
||
void tem_hum_update_task(void const * argument)
|
||
{
|
||
int time_s_temp_humi = 0;
|
||
uint32_t time_s_1Day = 0;
|
||
|
||
get_temp_humi_data(&g_stMcs_Para.temperature, &g_stMcs_Para.humidity);//开机先采集一次
|
||
while(1)
|
||
{
|
||
osDelay(1000);
|
||
time_s_temp_humi ++;
|
||
time_s_1Day ++;
|
||
|
||
if (time_s_temp_humi >= g_stConfigInfo.temp_hum_update_time)
|
||
{
|
||
get_temp_humi_data(&g_stMcs_Para.temperature, &g_stMcs_Para.humidity);
|
||
time_s_temp_humi = 0;
|
||
}
|
||
if (time_s_1Day >= 86400)
|
||
{
|
||
__iar_builtin_set_FAULTMASK(1);
|
||
NVIC_SystemReset();
|
||
}
|
||
my_update_mcs_param(av_speed, av_angle);
|
||
//采集HP203B数据(大气压)
|
||
get_press_data();
|
||
}
|
||
}
|
||
|
||
|
||
|