我收集了两个月的数据集,显示安装在相同位置上的两个不同传感器的水位与相同的基准/参考位置。 Simultaneously plot from both sensor 它们应该给出相同的值,因为它们在第一时间被读取相同但不幸的是它们在最大和最小潮差范围内偏离。 when you zoom at maximum range 我试图证明其中一个传感器是DRIFT远离另一个,是任何方法来做到这一点。使用matlab
到目前为止我已经完成了这个
%% Plot mean sea level
% %mean sea level in every 24 Hrs
clc
n2 = (148); % dataset where in every 10 minutes
a1c = reshape(cumsum(wl1c,2),[],1); % wl1c = 8280x1 matrix of value of waterlevel 1
mwl1c = arrayfun(@(i) mean(a1c(i:i+n2-1)),1:n2:length(a1c)-n2+1)'; % the averaged vector
a2c = reshape(cumsum(wl2c,2),[],1); % wl2c = 8280x1 matrix of value of waterlevel 2
mwl2c = arrayfun(@(i) mean(a2c(i:i+n2-1)),1:n2:length(a2c)-n2+1)'; % the averaged vector
scatter((1:length(mwl1c))',mwl1c,10);
lsline;
hold on;
scatter((1:length(mwl2c))',mwl2c,10);
lsline;
这给了我this
和
%% PLOT ALL DATA IN CUMMULATIVE SUM
clc
cs1c=cumsum(wl1c); %wl1c=waterlevel 1
cs2c=cumsum(wl2c); %wl2c=waterlevel 2
plot(tc,cs1c); hold on; plot(tc,cs2c);hold off;
给我this
我也做推荐
cmake --build <build folder> --target install
显示这两个传感器有点不同,我要求更多其他方法显示这两个传感器之间的趋势。