远足真的很有趣,但有时远足径的使用过于频繁,以至于当地的生态系统可能会面临风险。例如,偏离轨道并造成损坏。此外,非法狩猎也会使该物种处于危险之中。
目标:奖励徒步旅行者报告活动和步道状况,以及使用部署在各个远足地点的 Wio 终端收集有关步道的传感器信息。
Seeed Studio LoRaWAN 开发套件使这对用户非常友好,无需真正的硬件技能。
该套件配备了所需的所有基本传感器。在本指南中,我们将使用套件中包含的 LoRa-E5 和 AI 视觉传感器。
将 AI 摄像头连接到左侧端口,将 LoRa 连接到右侧端口。
使用以下 Arduino 代码并上传到 Wio 终端。
#include
#include "disk91_LoRaE5.h"
#include "Seeed_Arduino_GroveAI.h"
#include
#include "TFT_eSPI.h"
#define FF17 &FreeSans9pt7b
// keys
uint8_t deveui[] = {0x...};
uint8_t appeui[] = {0x...};
uint8_t appkey[] = {0x...};
GroveAI ai(Wire);
TFT_eSPI tft;
Disk91_LoRaE5 lorae5(false); // true, false whatever
void setup()
{
Wire.begin();
Serial.begin(115200);
randomSeed(analogRead(0));
tft.begin();
tft.setRotation(3);
tft.fillScreen(TFT_BLACK);
tft.setFreeFont(FF17);
tft.fillScreen(TFT_BLACK);
tft.setCursor(0, 20);
Serial.println("begin");
tft.println("begin");
uint32_t start = millis();
tft.println("LoRa E5 Init");
// init the library, search the LORAE5 over the different WIO port available
if (!lorae5.begin(DSKLORAE5_SEARCH_WIO))
{
Serial.println("LoRa E5 Init Failed");
tft.println("LoRa E5 Init Failed");
while (1)
;
}
tft.println("LoRa E5 Setup");
// Setup the LoRaWan Credentials
if (!lorae5.setup(
DSKLORAE5_ZONE_US915, // LoRaWan Radio Zone EU868 here
deveui,
appeui,
appkey))
{
Serial.println("LoRa E5 Setup Failed");
tft.println("LoRa E5 Setup Failed");
while (1);
}
if (ai.begin(ALGO_OBJECT_DETECTION, MODEL_EXT_INDEX_1)) // Object detection and pre-trained model 1
{
Serial.print("Version: ");
Serial.println(ai.version());
Serial.print("ID: ");
Serial.println(ai.id());
Serial.print("Algo: ");
Serial.println(ai.algo());
Serial.print("Model: ");
Serial.println(ai.model());
Serial.print("Confidence: ");
Serial.println(ai.confidence());
tft.print("AI version ");
tft.println(ai.version());
}
else
{
Serial.println("Algo begin failed. Program halting here.");
tft.println("Algo begin failed. Program halting here.");
while (1)
;
}
}
void loop()
{
uint32_t tick = millis();
tft.fillScreen(TFT_BLACK);
tft.setCursor(0, 20);
tft.println("Begin ai invoke");
// tft.println(ai.state());
if (ai.invoke()) // begin invoke
{
tft.println("wait for ai invoke");
while (1) // wait for invoking finished
{
CMD_STATE_T ret = ai.state();
if (ret == CMD_STATE_IDLE)
{
break;
}
delay(20);
}
tft.println("AI state ready");
uint8_t len = ai.get_result_len(); // receive how many people detect
if (len)
{
int time1 = millis() - tick;
Serial.print("Time consuming: ");
Serial.println(time1);
Serial.print("Number of people: ");
Serial.println(len);
tft.println("Ident success");
object_detection_t data; //get data
for (int i = 0; i < len; i++)
{
Serial.println("result:detected");
Serial.print("Detecting and calculating: ");
Serial.println(i + 1);
ai.get_result(i, (uint8_t *)&data, sizeof(object_detection_t)); //get result
Serial.print("confidence:");
Serial.print(data.confidence);
Serial.println();
uint8_t data[] = { random() };
tft.fillScreen(TFT_BLACK);
tft.setFreeFont(FF17);
tft.setCursor(0, 20);
Serial.print("Unique code: ");
tft.print("Unique code: ");
for (int i = 0; i < 4; i++)
{
Serial.print(data[i]);
tft.print(data[i]);
}
Serial.println();
tft.println();
tft.println("sending to Helium");
// Send an uplink message. The Join is automatically performed
if (lorae5.send_sync(
1, // LoRaWan Port
data, // data array
sizeof(data), // size of the data
false, // we are not expecting a ack
7, // Spread Factor
14 // Tx Power in dBm
))
{
Serial.println("Uplink done");
if (lorae5.isDownlinkReceived())
{
Serial.println("A downlink has been received");
if (lorae5.isDownlinkPending())
{
Serial.println("More downlink are pending");
}
}
} else {
Serial.println("uplink failed");
}
delay(30000);
}
}
else
{
// Serial.println("No identification");
delay(1000);
}
}
else
{
delay(1000);
Serial.println("Invoke Failed.");
tft.println("Invoke Failed.");
}
}
LoRa 代码基于https://github.com/disk91/Disk91_LoRaE5并且有许多示例可以在完全提交上述代码之前测试设备。
该代码将检测到一个人,然后显示一个随机数,然后可以在前端兑换该随机数以领取 NFT。终端应显示以下内容:
这部分将是工作的主体。应设置 Helium 控制台,使集成流程如下所示
uniq_code_decoder 定义为:
function Decoder(bytes, port, uplink_info) {
var decoded = {};
if (port == 1) {
decoded.unique_code = bytes;
}
return decoded;
}
对于 webhook 阶段,我选择使用 RequestBin:
对于“节点”阶段,代码是:
import { FormData, Blob } from "formdata-node";
import { FormDataEncoder } from "form-data-encoder";
import {Readable} from "stream"
import fetch from "node-fetch"
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
const url = "https://api.web3.storage/upload";
let sensorData = {
"device_pinValue": steps.trigger.event.body.decoded.payload.unique_code
};
console.log(sensorData);
let form = new FormData();
let blob = new Blob([new TextEncoder().encode(JSON.stringify(sensorData))], { type: "application/json;charset=utf-8" });
console.log(blob);
form.append('file', blob, steps.trigger.event.body.uuid + ".json");
console.log(form);
const encoder = new FormDataEncoder(form)
const key = "web3APIKEY"
const options = {
method: "post",
headers: Object.assign({}, encoder.headers, {"Authorization": "Bearer "+ key}),
body: Readable.from(encoder)
}
const resp = await fetch(url, options);
const text = await resp.text()
console.log(text);
return resp;
},
})
“web3APIKEY”需要替换为来自web3.storage (免费)的 API 密钥。
这部分也可以由后端代码提供服务。
前端代码位于: https: //github.com/exp0nge/trail-conservation/tree/master/trail-ui它是使用 ReactJS 构建的,因此应该非常易读。有几个集成:
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