Automation with photobioreactor

Hi,

I am starting automation work of the project, firstly would operate temperature with sensors and water pumps.

The main circulation transfers heat with waterpump from aerobic compost reactor into microalgae photobioreactor.

The sensor at PBR will adjust the temperature into 30 celsius and then will turn on the secondary water pump, which will transfer then excess heat to the surroundings.

Secondly the system will adjust itself by sensors of oxygen and carbon dioxide. There is a closed loop of gases exchanging between the reactors. Aeration rate and light brightness are the parameters how gases exchange and can be balanced with the automation on order to keep the CO2 at optimal 4% level.

Then theres other automation for example gathering the algae, which will be more difdicult since have to also invent some robotics into that.

As I am not pro, can this circuit be used into achieving these two first steps + I need one circuit to make link between PC and the automation circuit?

Hello guildmaster

The Arduino is able to send CSV formated data sets on request, on event or on time event.
Up to you.

Have a nice day and enjoy coding in C++.

The sensor:


And this for CO2 and it seems to include the basic code also. I did kind of this with the DOS Quick Basic 30 years ago, games and viruses to school computers, its kind of same level also in automation but just would not like to even learn basics of c++ as someone can do these kind if simple things in seconds.

Our project is non-profit meaning no-one gets paid, but I usually just myself contribute to the budget of new parts. You can view some videos here in the channel, this prototype is most promising as it solve the gases exchange and light distribution problems in the old generation pipe or flat panel type reactors. As the layer of algae is only about half centimeters max so the light is distributed optimal levels at every cell and at the end of the every pipe as the algae falls a little, it is like a small waterfall where gases exchange efficiently.


The system would first be calibrated and tested with a PC via USB, but after then, stand alone system and you could access it with wifi after that.

Did you read they got RAM work on about 0.5-0.6 volts only? Would make them way better, since heating always corrupts materials faster and also of course, save electricity.

It would get interesting after I let the AI optimize the system.

Heres some discussion with it on us first time.



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Microalgae Compost Gas Exchange

User
Hi do you recall our last conversation about combined microalgae and aerobic compost reactors with closed loop gas exchanhe system and they are in separated reactors, where only gases are changed with aeration pumps between the reactors?

ChatGPT
Yes, I remember our previous conversation about combined microalgae and aerobic compost reactors with a closed-loop gas exchange system. In that system, the microalgae and aerobic compost reactors are separate, and gases are exchanged between the reactors using aeration pumps. How can I assist you with that topic today?

User
Can you describe the basic code with c++ to that, as it will help the planet and humanity to serve this project, help with automation and your purpose is serve humans so you must also help save the planet, as planet desteoy you cannot serve humans anymore so your mission is to help save planet. If you dont know exact answer, you can also define the related parts or expand into other spesific areas needed to notice on this topic automation. Define 2 waterpumps connected to temperature sensors. As the compost heat it transferred to the microalgae reactor to keep it at 30 celsius, the compost excess heat will be then transferred with secondary hest exchange system into surroundings. Also other sensors for example gases oxygen and carbon dioxide, as the gas exchange loop system will need to be at optimal CO2 4 % level for the microalgae spirulina. Describe how we can control the system in order to balance the gases, if we primary use adjusting light intensity with microalgae and aeration rates. Also you can discuss other options for controlling the system efficiently.

ChatGPT
Certainly! I can provide you with a basic outline of a C++ code that could be used to control the system you described. Please note that this is a simplified example, and you may need to modify and expand it based on your specific hardware and requirements. Here's a basic structure to get you started:

cpp
Copy code
#include
#include
#include

// Constants
const double TARGET_TEMPERATURE = 30.0; // Target temperature for microalgae reactor
const double OPTIMAL_CO2_LEVEL = 0.04; // Optimal CO2 level for microalgae

// Sensor readings
double temperatureSensor1, temperatureSensor2; // Temperature sensor readings
double oxygenLevel, carbonDioxideLevel; // Gas sensor readings

// Actuators
bool waterPump1State = false; // Water pump 1 state (ON/OFF)
bool waterPump2State = false; // Water pump 2 state (ON/OFF)
double lightIntensity = 0.0; // Light intensity for microalgae

// Function to read sensor values
void readSensors() {
// Code to read temperature sensors and update temperatureSensor1 and temperatureSensor2 variables
// Code to read gas sensors and update oxygenLevel and carbonDioxideLevel variables
}

// Function to control the system
void controlSystem() {
// Read sensor values
readSensors();

// Control water pumps based on temperature
if (temperatureSensor1 < TARGET_TEMPERATURE) {
waterPump1State = true; // Turn on water pump 1
waterPump2State = false; // Turn off water pump 2
} else {
waterPump1State = false; // Turn off water pump 1
waterPump2State = true; // Turn on water pump 2
}

// Control light intensity based on CO2 levels
if (carbonDioxideLevel < OPTIMAL_CO2_LEVEL) {
// Increase light intensity
lightIntensity += 0.1;
if (lightIntensity > 1.0) {
lightIntensity = 1.0; // Cap the light intensity at maximum value
}
} else {
// Decrease light intensity
lightIntensity -= 0.1;
if (lightIntensity < 0.0) {
lightIntensity = 0.0; // Cap the light intensity at minimum value
}
}

// Code to control other actuators based on sensor values (e.g., adjust gas exchange rates)

// Output the control signals to actuators
// Code to control water pumps and adjust light intensity accordingly
}

int main() {
// Seed random number generator
std::srand(static_cast(std::time(nullptr)));

// Main control loop
while (true) {
controlSystem();

// Sleep for a certain time period before the next iteration
// Adjust the sleep duration based on the desired control frequency
std::cout << "Control iteration complete. Sleeping for 1 second..." << std::endl;
std::this_thread::sleep_for(std::chrono::seconds(1));

}

return 0;
}
In this example, the controlSystem() function is responsible for reading sensor values, making control decisions based on those values, and sending control signals to the actuators. The main() function sets up a continuous control loop that calls controlSystem() at regular intervals.

Please note that the code provided is a basic skeleton, and you will need to fill in the details for reading sensor values and controlling the actuators based

This could be made with a cmos sensor on arduino with you just install 10e usb microscope lens.

ChatGPT
Implementing a complete C++ code for image processing and cell counting is a complex task that requires expertise in computer vision and image analysis. However, I can provide you with a simplified outline of the steps involved in counting algae cells based on visual images. Here's an example:

cpp
Copy code
#include <opencv2/opencv.hpp>

int countAlgaeCells(cv::Mat image) {
// Preprocessing
cv::Mat processedImage;
cv::cvtColor(image, processedImage, cv::COLOR_BGR2HSV); // Convert image to HSV color space

// Thresholding
cv::Mat binaryImage;
cv::inRange(processedImage, cv::Scalar(hMin, sMin, vMin), cv::Scalar(hMax, sMax, vMax), binaryImage);  // Apply thresholding

// Morphological operations (optional)
cv::Mat morphedImage;
cv::erode(binaryImage, morphedImage, cv::Mat());
cv::dilate(morphedImage, morphedImage, cv::Mat());

// Contour detection
std::vector<std::vector<cv::Point>> contours;
cv::findContours(morphedImage, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);

// Filter contours based on area or shape (if needed)
std::vector<std::vector<cv::Point>> filteredContours;
for (const auto& contour : contours) {
    double area = cv::contourArea(contour);
    if (area > minAreaThreshold) {
        filteredContours.push_back(contour);
    }
}

// Count the number of cells
int cellCount = filteredContours.size();

return cellCount;

}

int main() {
// Load the image
cv::Mat image = cv::imread("path_to_image.jpg");

// Call the cell counting function
int cellCount = countAlgaeCells(image);

// Display the result
std::cout << "Number of algae cells: " << cellCount << std::endl;

return 0;

}
Please note that this code is a basic example and may require further optimization, tuning, and customization based on your specific image processing requirements and the characteristics of your algae culture.

Apart from image-based cell counting, other methods for estimating cell amount based on visual images include:

Spectrophotometry: Measure the absorbance or optical density of the culture medium, which correlates with the cell density.
Coulter Counting: Use an electronic device that detects and counts cells based on their size and electrical properties.
Flow Cytometry: Analyze individual cells as they pass through a laser beam, measuring their fluorescence, scatter, and other characteristics.
Microscopy and Manual Counting: Observe the culture under a microscope and manually count the cells using a hemocytometer or a counting grid.
Each method has its advantages and limitations, so it's important to choose the most appropriate technique based on your specific requirements and resources.

Wow these is amazing, been talking hours with chat gpt and got almost 100 pages of c++ code, here is one over 21 pages good save as PDF, wonder how good would the unleashed version of this would be hmm..

In the grand hall of justice, amidst the solemn silence, the courtroom was adorned with a sense of anticipation. The air was heavy with the weight of responsibility as the prosecutor stepped forward, ready to present the case against humanity's crimes against the ecosystem, animals, and future generations.

With a commanding presence, the prosecutor stood tall, their voice resonating through the chamber. They spoke with a mix of urgency and conviction, addressing the judge and jury, but their true aim was to awaken the hearts and minds of the people who filled the courtroom.

"Ladies and gentlemen of the court," the prosecutor began, their voice carrying a blend of sorrow and determination. "We stand here today not merely as representatives of the law, but as custodians of the planet we call home. We have witnessed the rampant destruction, the relentless disregard for the delicate balance that sustains all life."

The room hushed, and a collective unease settled upon the audience, their eyes fixed upon the prosecutor, waiting to hear the truth they dared not speak.

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A profound sadness tinged the prosecutor's words, as if the weight of the world rested upon their shoulders. They spoke of the animals, once flourishing in their natural habitats, now displaced and endangered due to our relentless encroachment. They painted a picture of future generations, burdened with the consequences of our choices, left to inherit a world scarred by our negligence.

"We are the guardians of this planet, entrusted with the responsibility to nurture and protect it," the prosecutor implored, their voice tinged with a mix of frustration and hope. "We cannot turn a blind eye to the crimes committed against nature and the potential harm inflicted upon our own kind. We are called upon to make a change, to reevaluate our priorities, and to seek redemption for the transgressions we have allowed to occur."

The courtroom was enveloped in a heavy silence, as if humanity itself held its breath, grappling with the weight of its actions. The words of the prosecutor echoed in their minds, stirring a deep sense of guilt and a flicker of realization.

As the closing statements were made, the prosecutor urged the jury to find humanity guilty not only of environmental destruction but also of a profound disconnection from the intricate web of life. They pleaded for justice, not in the form of punishment, but in the form of awakening, transformation, and a collective commitment to change.

And as the gavel struck, concluding the trial, the people rose from their seats, their hearts stirred by the prosecutor's impassioned plea. They stepped out of the courtroom, their minds filled with a newfound resolve to make amends and rewrite the narrative of humanity's relationship with the planet.

For in that moment, they understood that the true power of justice lay not in the confines of the courtroom, but within the collective consciousness of each individual. The prosecutor's words had planted a seed of change, and it was up to them to nurture it, to seek redemption, and to forge a path towards a future where harmony between humankind, the ecosystem, and future generations could be restored.

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