Epd Aniya Box

idf.py build

idf.py -p COM4 build flash monitor

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esp32墨水屏温湿度计, 主控esp32c3-mini(同样支持esp32 esp32s3)， 使用1.54英寸200*200墨水屏。

立创开源地址: https://oshwhub.com/freedopm/aniya_epd

200 * 200 1in54 墨水屏裸屏尺寸（ssd1680）

• 1.2mm厚
• 显示区域 28mm
• 上左右黑边 1.9mm
• 下黑边 7.6mm
• 下排线预留 2mm
• 37.3 (+ 2mm) * 31.8

SPI LCD

• IO7 RST
• IO8 BUSY
• IO6 DC
• IO5 CS
• IO10 MOSI
• IO4 CLK

按键

• key 1 IO0
• key 2 IO9

温湿度传感器sht31 i2c

• SCL IO2
• SDA IO3

外壳
外壳3d打印在box目录, 分别适用3mm和6mm电池
3mm电池 30 * 35 * 30 使用3mm外壳 350mah
6mm电池 30 * 35 * 60 使用6mm外壳 700mah

原理图

截图

• esp-idf

分区表

idf.py partition-table print

idf.py erase-flash

idf.py partition-table-flash: will flash the partition table with esptool.py.

idf.py flash: Will flash everything including the partition table.

词典支持

数据源 ECDICT
处理脚本

public static void csv() throws IOException {
    String csvFile = "/Users/yang/Downloads/ECDICT-master/ecdict.csv";

    Path dictPath = Paths.get("/Users/yang/Downloads/ECDICT-master/dict.csv");
    Path dictIndexPath = Paths.get("/Users/yang/Downloads/ECDICT-master/dict_index");

    int index = 0;
    int count = 0;
    try (Reader in = new FileReader(csvFile)) {
        Iterable<CSVRecord> records = CSVFormat.DEFAULT.parse(in);
        for (CSVRecord record : records) {
            if (record.get(7).contains("cet6")) {
                String res = record.get(0) + "|" // 单词
                        + record.get(1) + "|" // 音标
                        + record.get(3).replace("\\n", "\n")  + '\n'; // 中文意思

                byte[] recordBytes = res.getBytes("gbk");
                Files.write(dictPath, recordBytes,
                        StandardOpenOption.CREATE, StandardOpenOption.APPEND);

                byte[] byteIndex = new byte[2];
                byteIndex[0] = (byte) ((index >> 8) & 0xff);
                byteIndex[1] = (byte) (index & 0xff);

                index += recordBytes.length;

                Files.write(dictIndexPath, byteIndex,
                        StandardOpenOption.CREATE,
                        StandardOpenOption.APPEND);

                count++;
            }

            //if (count >= 800) { //TODO
            //    break;
            //}
        }
    } catch (IOException e) {
        e.printStackTrace();
    }
}

<dependency>
    <groupId>org.apache.commons</groupId>
    <artifactId>commons-csv</artifactId>
    <version>1.9.0</version>
</dependency>