Refinement of the project in Python (opencv and neural network)
ACS for sampling grain from grain trucks.
ACS is designed to control the process of sampling in automatic and remote mode, display information about the process progress on the operator's HMI, centralized storage in the database of technological parameters, emergency messages, and operator actions.
The sampler ACS provides: collection and processing of information from the video camera, sensors, and encoders. monitoring the condition of the hydraulic and pneumatic systems of the sampler and information storage; implementation of protections and blocking in case of abnormal and emergency situations; implementation of warning, technological, and emergency signaling, registration of parameters, events, and actions of the operational personnel, archive keeping; the ability to provide information to adjacent automated systems; the ability to receive information from adjacent automated systems; minimizing the human factor influence on the sampling process by applying automatic control of the sampler.
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The project is written in Python 3.7, users and logging in the MySQL database.
Libraries used:
numpy
scipy
Pillow
cython
matplotlib
scikit-image
tensorflow-gpu==1.15
keras==2.2.5
opencv-python
h5py
imgaug
IPython[all]
Changes in the project. Update Update to modern compiler and library versions; Refinement and new functionality. In case of overlapping a point on a crossbeam or other obstacle, the operator should be able to "drag" the sampling point to the nearest unobstructed place Automatic bypass of obstacles in case the probe touches them (bridges, body edges, etc.) Activation of pipeline purging of samples from the operator interface Text message in case of emergency situation; Adjustment of the speed of movement of executive mechanisms; Contamination control of the filter; Control of the level of filling of the sample collection cyclone Control of the condition of the hydraulic and pneumatic systems of the sampler Control of the operation of electric drives and recording of engine hours; Operator actions logging; Event archiving: each grain sampling is stored in graphical form with details and sampling time;
Replacement of existing functionality. PLC and PLC communication method are changed (from Siemens to PLCNext); Redesign the interface (design provided).
Applications 1
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135 Overall, the main changes relate to updating the current system, adding new functionality (such as obstacle processing, pipeline blowing, system control), replacing the PLC and interface, as well as providing source code, compiled project, and accompanying documentation. Ready to discuss further.
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8867 60 0 1 Good day! We would like to discuss the details and start working. We want to know more specific details about the project.
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2532 23 2 Good day Maxim, I am interested in your project and would like to learn more about it.
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628 28 0 1 Good day!
I can implement, but in several stages, because it is difficult for me to estimate the volume of all work in an unfamiliar project.
I have experience in programming in Python, as well as programming microcontrollers - ESP32, Atmel, and others.
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