1309控制器蓝字 2.4寸oled模组 12864 oled 2.42oled屏 128x64-Mysql Tutorial-php.cn

Home

Database

Mysql Tutorial

1309控制器蓝字 2.4寸oled模组 12864 oled 2.42oled屏 128x64

WBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB

Jun 07, 2016 pm 03:33 PM

oledcontrollermodule

产品介绍 General Specifications Diagonal Size 尺寸 2.4” Color 颜色 BLUE Type 类型 Monochrome Pixel Number 分辨率 128x64 Module Size(mm) 模组尺寸 62.1 × 50 × 9 Active Size(mm) 显示区域 55.01 × 27.49 Driver IC 驱动 IC SSD1309 Interface

产品介绍General Specifications
Diagonal Size尺寸	2.4”
Color颜色	BLUE
Type类型	Monochrome
Pixel Number分辨率	128x64
Module Size(mm)模组尺寸	62.1 × 50 × 9
Active Size(mm)显示区域	55.01 × 27.49
Driver IC驱动IC	SSD1309
Interface接口	SPI
View Angle视角	>160 degree
Contrast对比度	>10000:1
Brightness(cd/m2)亮度	80(Typ)@13V
Weight(g)重量	8.6
Power功耗	13V29.6mA+3.3V180uA
Operating Temperature操作温度	-40~70
Assembly连接方式	10Pin 1.0mm FPC Connector OR 2.0mm Metal pins

二、接口定义Pin Assignment
序号（No.）	定义（SYMBOL）	说明（Description）
1	VCC3.3	数字电路电源电压Power Supply for Logic Circuit
2	VCC3.3	数字电路电源电压Power Supply for Logic Circuit
3	EN	OLED供电使能信号，高有效OLE Panel Power Enable Signal active High to Enable
4	GND	数字电路电源地Ground of Logic Circuit
5	CS	片选信号Chip Select
6	RES	复位信号Power Reset
7	D/C	数据与命令控制信号Data/Command Control
8	GND	数字电路电源地Ground of Logic Circuit
9	SCLK	SPI时钟信号Serial Clock of SPI
10	SDIN	SPI输入信号Serial Data of SPI

订货型号 Ordering

序号（No.）	型号（MODEL NO.）	说明（Description）
1	M24S1309_Y	1309控制器黄字 1309 controller Yellow
2	M24S1309_G	1309控制器绿字 1309 controller Green
3	M24S1309_B	1309控制器蓝字 1309 controller Blue

1309控制器蓝字 2.4寸oled模组 12864 oled 2.42oled屏 128x64

参考文件 References

1、SSD1309控制器说明书 SSD1309 CONTROLLER SPEC

2、51单片机C语言DEMO 24_OELD_SPI _1309

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

How does MySQL index cardinality affect query performance?Apr 14, 2025 am 12:18 AM

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

MySQL: Resources and Tutorials for New UsersApr 14, 2025 am 12:16 AM

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

Real-World MySQL: Examples and Use CasesApr 14, 2025 am 12:15 AM

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL Commands in MySQL: Practical ExamplesApr 14, 2025 am 12:09 AM

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

How does InnoDB handle ACID compliance?Apr 14, 2025 am 12:03 AM

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's Place: Databases and ProgrammingApr 13, 2025 am 12:18 AM

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL: From Small Businesses to Large EnterprisesApr 13, 2025 am 12:17 AM

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

What are phantom reads and how does InnoDB prevent them (Next-Key Locking)?Apr 13, 2025 am 12:16 AM

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

See all articles