Application of Logical operators

Hi team,

I am trying to assign a colour to each part of this simple warehouse diagram with 4 shelves.

I have to assign a unique value to each part of this model, i.e., for the 4 shelves location, the aisles location, the warehouse corners.

I have tried to use logical operators to assign a colour to each part of the warehouse model. But I am having issues to do that properly. Kindly help.

My code:

clc;

clear all;

close all;

x_pos_tmp = 0:0.05:10;

y_pos_tmp = 0:0.05:5;

x_pos = repelem(x_pos_tmp,1,length(y_pos_tmp))';

y_pos = repmat(y_pos_tmp,1,length(x_pos_tmp))';

mat = [x_pos y_pos];

%% Shelf distance column

tmp1 = zeros(1,length(mat))';

matTmp = [mat tmp1];

for nx=1:length(mat)

% Adding the data for within shelf coverage

if ((mat(nx,1)>=1.1 && matTmp(nx,1)<=1.9)&&(matTmp(nx,2)>=1.1 && matTmp(nx,2)<=3.9))

matTmp(nx,3) = 50;

elseif ((matTmp(nx,1)>=3.1 && matTmp(nx,1)<=3.9)&&(matTmp(nx,2)>=1.1 && matTmp(nx,2)<=3.9))

matTmp(nx,3) = 50;

elseif ((matTmp(nx,1)>=5.1 && matTmp(nx,1)<=5.9)&&(matTmp(nx,2)>=1.1 && matTmp(nx,2)<=3.9))

matTmp(nx,3) = 50;

elseif ((matTmp(nx,1)>=7.1 && matTmp(nx,1)<=7.9)&&(matTmp(nx,2)>=1.1 && matTmp(nx,2)<=3.9))

matTmp(nx,3) = 50;

% In the aisle coverage

elseif ((matTmp(nx,1)>=2.1 && matTmp(nx,1)<=2.9)&&(matTmp(nx,2)>=1.1 && matTmp(nx,2)<=3.9))

% matTmp(nx,3) = min((matTmp(nx,1)-2),(3-matTmp(nx,1)));

matTmp(nx,3) = 100;

elseif ((matTmp(nx,1)>=4.1 && matTmp(nx,1)<=4.9)&&(matTmp(nx,2)>=1.1 && matTmp(nx,2)<=3.9))

% matTmp(nx,3) = min((matTmp(nx,1)-4),(5-matTmp(nx,1)));

matTmp(nx,3) = 100;

elseif ((matTmp(nx,1)>=6.1 && matTmp(nx,1)<=6.9)&&(matTmp(nx,2)>=1.1 && matTmp(nx,2)<=3.9))

% matTmp(nx,3) = min((matTmp(nx,1)-6),(7-matTmp(nx,1)));

matTmp(nx,3) = 100;

% Corner Aisles data

elseif ((matTmp(nx,1)>=0 && matTmp(nx,1)<=0.9)&&(matTmp(nx,2)>=0 && matTmp(nx,2)<=5)) % Left corner aisle

% matTmp(nx,3) = 1-matTmp(nx,1);

matTmp(nx,3) = 150;

elseif ((matTmp(nx,1)>=7.9 && matTmp(nx,1)<=10)&&(matTmp(nx,2)>=0 && matTmp(nx,2)<=5)) % Right corner aisle

% matTmp(nx,3) = matTmp(nx,1)-8;

matTmp(nx,3) = 150;

% Strong LOS cases (East-West Direction)

elseif ((matTmp(nx,1)>=1.1 && matTmp(nx,1)<=7.9)&&(matTmp(nx,2)>=0 && matTmp(nx,2)<=0.9))

% matTmp(nx,3) = min((matTmp(nx,2)-0),(1-matTmp(nx,1)));

matTmp(nx,3) = 200;

elseif ((matTmp(nx,1)>=1.1 && matTmp(nx,1)<=7.9)&&((matTmp(nx,2)>=4.1 && matTmp(nx,2)<=5)))

% matTmp(nx,3) = min((matTmp(nx,2)-4),(5-matTmp(nx,1)));

matTmp(nx,3) = 200;

else

matTmp(nx,3) = 0;

end

end

%% Plot

data = reshape(matTmp(:,3),length(x_pos_tmp),length(y_pos_tmp));

figure(1)

set(gca,'DefaultTextFontSize',14)

imagesc(0:10,0:5, data); % 0:0.5:18,0:0.1:30,

xlabel('X-distance [m]','FontSize',14);

ylabel('Y-distance [m]','FontSize',14);

set(gca,'YDir','normal');

a=colorbar;

% a.Label.String = 'SINR [dB]';

ylabel(a,'SINR [dB]','FontSize',14)

colormap jet;

% clim([20 90])

--------------------------------------------------------------------------------------------------------------------------------------------------------

Output:

This plot should look like the first figure. Looking forward to any kind of suggestions.

Thank You,

Rahul Singh Gulia

Answer 1

[Star Strider]

Perhaps something like this —

figure
hold on
for k = 1:4
    patch([1 2 2 1]+2*(k-1), [1 1 4 4], 'b', 'FaceAlpha',0.5)
    text(1.5+2*(k-1), 2.5, sprintf('Shelf %d',k), 'Horiz','center', 'Vert','middle', 'FontSize',8)
end
hold off
axis([0  10  0 5])
Ax = gca;
Ax.Color = [1 1 1]*0.9;

.

[Rahul Gulia]

Thank you for the suggestion @Star Strider. This is really good.

But I want to access those locations and insert a new set of values (i.e., the colour codes) to create a new column in the dataset.

Please let me know if I can do this using the logical operator to solve my issue.

Thank you for the suggestion.

[Star Strider]

My pleasure.

I cannot understand your code. What specifically do you want to do?

[Rahul Gulia]

I want to access each point in the warehouse, and assign a distance value from the nearest shelf in the aisle.

I have commented those lines that calculate the distance from the nearest shelf.

% In the aisle coverage

elseif ((matTmp(nx,1)>=2.1 && matTmp(nx,1)<=2.9)&&(matTmp(nx,2)>=1.1 && matTmp(nx,2)<=3.9))

% matTmp(nx,3) = min((matTmp(nx,1)-2),(3-matTmp(nx,1)));

matTmp(nx,3) = 100;

I hope this makes it clear.

[Star Strider]

It doesn’t, unfortunately. There are several ways to calculate distance, not all of which might be appropriate for your problem, since the only ones I’m reasonably familiar with involve straight-line distances, and that would require going through the shelves. (Physics generally discourages those sorts of solutions.)

It might be worthwhile to do this as a graph or digraph problem and then use the shortestpath or similar approaches (listed in the See Also section of that documentation) to determine the distances. The Robotics Toolbox (that I don’t have and so have no experience with its functions) might also have some options.

[Rahul Gulia]

Thank you for the suggestion @Star Strider. I will look into these functions of the MATLAB.

[Star Strider]

My pleasure!