From e923afd4c710319c0facfbd5e18d392e56249d2b Mon Sep 17 00:00:00 2001
From: drho1y <dr.holyblack@gmail.com>
Date: Fri, 3 Jul 2026 02:39:23 +0700
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---
 schemes/mvp_1.drawio | 277 +++++++++++++++++++++++++++++++++++++++++++
 schemes/mvp_1.jpg    | Bin 0 -> 59494 bytes
 schemes/mvp_1.md     | 114 ++++++++++++++++++
 3 files changed, 391 insertions(+)
 create mode 100644 schemes/mvp_1.drawio
 create mode 100644 schemes/mvp_1.jpg
 create mode 100644 schemes/mvp_1.md

diff --git a/schemes/mvp_1.drawio b/schemes/mvp_1.drawio
new file mode 100644
index 0000000..d50949f
--- /dev/null
+++ b/schemes/mvp_1.drawio
@@ -0,0 +1,277 @@
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+        <mxCell id="jfPUc6vKa1uVjcLF1lrC-30" parent="1" style="shape=note;whiteSpace=wrap;html=1;backgroundOutline=1;darkOpacity=0.05;fillColor=#f0a30a;strokeColor=#BD7000;fillStyle=solid;direction=west;gradientDirection=north;shadow=1;size=20;autosizeText=1;fontFamily=Architects Daughter;fontSource=https://fonts.googleapis.com/css?family=Architects+Daughter;fontColor=#000000;fontSize=24;align=left;" value="Тут у нас установлена камера, первично мы ее откалибруем и сможем визуально оценить размер объекта" vertex="1">
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diff --git a/schemes/mvp_1.md b/schemes/mvp_1.md
new file mode 100644
index 0000000..945e23c
--- /dev/null
+++ b/schemes/mvp_1.md
@@ -0,0 +1,114 @@
+# Наброски будущей схемы конвейера
+
+![](mvp_1.jpg)
+
+## Пояснение к схеме
+
+### todo
+
+## Список материалов:
+
+В этот список необходимо доложить энкодер для двигателя!
+
+| Название | Сумма, ₽  | Количество |
+| :--- | :--- | :--- |
+| Медная лента для удаления припоя / Оплетка для выпайки диаметр 2 мм длина 1.5 м | 164 | 1 |
+| Набор проводов для пайки | 1 030 | 1 |
+| Набор проводов для пайки | 855 | 1 |
+| Флюс гель универсальный безотмывочный, для пайки микросхем и компонентов Flux RMA-223-UV-10г | 162 | 1 |
+| Припой для пайки с канифолью 1мм 50гр ПОС-61 на катушке (ГОСТ) | 423 | 1 |
+| ALIENTEK Паяльник 140 Вт, 7 предметов | 4 985 | 1 |
+| Преобразователь DC-DC понижающий с 8-60V до 1-36V 15A max | 805 | 1 |
+| Беспаечная макетная плата (breadboard) MB-102, 830 точек, для Arduino и прочих устройств | 1 112 | 2 |
+| 120 шт. Провода перемычки для макетных плат, соединительные провода для модулей, контроллеров arduino (10 см) 3 вида по 40 шт папа-папа, мама-мама, папа-мама | 636 | 3 |
+| Homeled, Блок питания, 12V, 200W, 180-265 вольт. С клеммами. Импульсный для светодиодных лент и светильников | 599 | 1 |
+| Двигатель для шуруповерта 12v без шестерни | 834 | 2 |
+| Сервопривод MG996R, 10 шт, 180 , металлические шестерни, для Arduino, роботов и RC, размеры стандарт | 2 990 | 1 |
+| PWM PCA9685 драйвер на 16 сервоприводов расширитель портов с I2C интерфейсом для Led и Servo (12 bit, I2C) в IIC/I2C/TWI/SPI c тестером сервоприводов 3 режима, набор | 1 178 | 2 |
+| Датчик расстояния ультразвуковой HY-SRF05 для Arduino | 1 310 | 5 |
+| Модуль MOSFET силовой ключ, опторазвязка, 40В, 50А, AOD4184 | 898 | 4 |
+| Arduino UNO R3 Atmega328P (CH340G), с кабелем | 1 377 | 3 |
+| Плата расширения Ethernet Shield W5100 | 1 376 | 2 |
+| ИТОГО | 20 732 |  |
+
+[Ссылка на товары](https://www.ozon.ru/cart?share=IxNShaU)
+
+
+## Возможные проблемы в программно-аппаратной автоматической сортировке товаров на конвейерной линии
+
+### 1. Проблемы визуального распознавания
+
+ - Сложность освещения: Непредсказуемое освещение может затруднить распознавание объектов
+ - Схожие внешние признаки: Товары с похожими формами/цветами могут быть распознаны неправильно
+ - Неправильная калибровка камер: Ошибки в определении координат объектов
+
+### 2. Проблемы сенсорной системы
+
+ - Недостаточная чувствительность датчиков: Пропуск объектов или ложные срабатывания
+ - Влияние пыли/влаги: Затруднение работы сенсоров
+ - Нестабильность работы датчиков: Необходимость постоянной калибровки
+
+### 3. Проблемы управления движением
+
+ - Неправильная синхронизация: Несовпадение времени сортировки и движения конвейера
+ - Недостаточная мощность приводов: Задержки в перемещении
+ - Конфликты в движении: Пересечение траекторий сортировщиков
+
+### 4. Проблемы программного обеспечения
+
+ - Недостаточная обработка ошибок: Простой системы при возникновении проблем
+ - Неправильная логика принятия решений: Неправильная классификация объектов
+ - Проблемы с обновлением модели ИИ: Устаревшие алгоритмы распознавания
+
+### 5. Проблемы механики
+
+ - Недостаточная прочность конструкции: Повреждение при высоких скоростях
+ - Неправильное размещение сортировщиков: Конфликты при перемещении
+ - Проблемы с удержанием объектов: Потеря товаров при сортировке
+
+ ## Решения от ИИ:
+
+Когда мы переходим к прототипу на **Arduino + отдельный сервер**, архитектура меняется. Теперь у нас есть «Мозг» (сервер), который видит и думает, и «Руки» (Arduino), которые исполняют. 
+
+Главная проблема здесь — **задержка (latency)** при передаче данных между сервером и контроллером. Если сервер скажет «толкай» в тот момент, когда объект уже проехал, система провалится.
+
+Вот как я бы решил эти проблемы в контексте такого прототипа:
+
+### 1. Визуальное распознавание (Серверная часть)
+Поскольку сервер мощный, мы можем использовать тяжелые модели (YOLO, TensorFlow), но должны ограничить влияние среды.
+
+*   **Освещение:** Для прототипа я бы сделал «световой короб» из белого пластика или картона с LED-лентой внутри. Это создаст мягкий свет без теней, что критично для дешевых веб-камер.
+*   **Схожие признаки:** На сервере я бы реализовал многоэтапную проверку: сначала определение класса объекта, затем — анализ его геометрии (площадь, периметр), чтобы отличить, например, красный кубик от красного шарика.
+*   **Калибровка:** Чтобы сервер понимал, где находится объект в реальном мире, я бы использовал «маркеры привязки» (например, черные метки по углам ленты). Сервер видит метку -> понимает масштаб -> вычисляет координаты объекта в миллиметрах.
+
+### 2. Сенсорная система (Arduino часть)
+Датчики на Arduino будут служить «триггерами» для сервера.
+
+*   **Чувствительность:** Я бы добавил ИК-датчик в начале линии. Как только объект пересекает его, Arduino посылает сигнал на сервер: «Объект в зоне, сделай фото!». Это избавит сервер от необходимости анализировать видеопоток 24/7.
+*   **Пыль/Влага:** В прототипе это менее критично, но я бы использовал простые пластиковые колпачки-козырьки над датчиками, чтобы на них не оседал мусор.
+*   **Нестабильность:** Программный «антидребезг» (debouncing) в коде Arduino, чтобы один объект не засчитывался как несколько из-за помех.
+
+### 3. Управление движением (Arduino часть)
+Здесь решается проблема рассинхронизации между «медленным» сервером и «быстрым» конвейером.
+
+*   **Синхронизация (Критический узел):** Я бы **не** использовал команду «Толкай сейчас». Вместо этого сервер отправляет пакет данных: `ID объекта` и `Тип (куда сортировать)`. Arduino записывает этот объект в очередь (массив) и отслеживает его движение с помощью энкодера на моторе или датчика прохождения. 
+    *   *Логика:* «Я знаю, что объект №5 — это 'Красный', и он должен быть сброшен через 500 импульсов энкодера».
+*   **Мощность приводов:** Использование внешнего блока питания для моторов (не от Arduino!), чтобы избежать просадок напряжения и перезагрузок контроллера при старте ленты.
+*   **Конфликты:** Ограничение скорости подачи. В прототипе проще всего реализовать «дискретную подачу»: один объект заходит в систему -> обрабатывается -> вылетает -> только тогда подается следующий.
+
+### 4. Программное обеспечение (Взаимодействие)
+Разделение ответственности между Python (сервер) и C++ (Arduino).
+
+*   **Обработка ошибок:** Внедрение «контрольного сигнала» (Heartbeat). Если Arduino не получает сигнал от сервера в течение 2 секунд, он останавливает конвейер, чтобы товары не улетели в пустоту.
+*   **Логика принятия решений:** Сервер отправляет не просто команду, а структуру данных. Например: `{"id": 12, "action": "divert", "target": 2, "confidence": 0.98}`. Если `confidence` низкий, Arduino отправляет объект в корзину «Ошибка».
+*   **Обновление модели:** Преимущество сервера в том, что я могу обновлять модель ИИ, не перепрошивая Arduino. Весь «интеллект» живет в Python-скрипте.
+
+### 5. Механика (Прототип)
+Для прототипа важна модульность и легкость замены деталей.
+
+*   **Прочность:** Использование 3D-печатных деталей с заполнением (infill) более 40% в точках крепления моторов и использование подшипников в осях, чтобы избежать люфта.
+*   **Размещение:** Установка сортировщиков (сервоприводов) на стандартных профилях или рельсах, чтобы их можно было сдвинуть на пару сантиметров вперед/назад для точной подстройки под камеру.
+*   **Удержание объектов:** Вместо жестких толкателей я бы использовал «мягкие» лапки из силикона или резины на сервоприводах. Это предотвратит опрокидывание легких предметов и снизит ударную нагрузку на пластиковые детали.
+
+**Резюме по архитектуре:**
+`Датчик (Arduino) -> Триггер (Сервер) -> Распознавание (Сервер) -> Команда в очередь (Arduino) -> Отсчет расстояния (Arduino) -> Сброс (Механика)`.
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