IOT-DATA-PARSE

CopyRight

@2019-2021 Oscura, All Rights Reserved

How to get

npm install @oscura/iot-data-parse

Description

Now, it is a demo.

Target

For general data analysis of Internet of Things.

Example

When the data uploaded by the device is as below.

{
	"status": true,
	"temperature": 126,
	"time": "1606630210",
}

The useful data is just like

true
126
1606630210

and "status","temperature","time" are useless and waste bandwidth. So we can convert the data as

true => 01
126 => 7E
1606630210 => 5F C3 3B 42

= 01 7E 5F C3 3B 42

At last, the data we need is "01 7E 5F C3 3B 42", when we get it, we can parse it out according to the rules.

Instance

/*********************************** EXAMPLE1 ***********************************/
import { DataUnit, HexParse, HexUtils } from '@oscura/iot-data-parse'

// data configuration that comes from xls file
const json = [
  { description: "运行状态", unit: "", name: "runStatus", byteOffset: 0, bitOffset: 0, count: 1, dataType: "bool", littleEndian: false },
  { description: "报警状态", unit: "", name: "alarmStatus", byteOffset: 0, bitOffset: 1, count: 1, dataType: "bool", littleEndian: false },
  { description: "自动状态", unit: "", name: "autoStatus", byteOffset: 0, bitOffset: 2, count: 1, dataType: "bool", littleEndian: false },
  { description: "生产数量", unit: "个", name: "productNumber", byteOffset: 1, bitOffset: 0, count: 1, dataType: "int", littleEndian: false },
  { description: "电流", unit: "A", name: "current", byteOffset: 5, bitOffset: 0, count: 1, dataType: "float", littleEndian: false },
  { description: "电压", unit: "V", name: "voltage", byteOffset: 9, bitOffset: 0, count: 1, dataType: "float", littleEndian: false },
  { description: "温度", unit: "℃", name: "temperature", byteOffset: 13, bitOffset: 0, count: 2, dataType: "double", littleEndian: false },
  { description: "频率", unit: "Hz", name: "frequency", byteOffset: 29, bitOffset: 0, count: 2, dataType: "float", littleEndian: false },
  { description: "用户名", unit: "", name: "username", byteOffset: 37, bitOffset: 0, count: 7, dataType: "string", littleEndian: false },
  { description: "报警内容", unit: "", name: "alarmContent", byteOffset: 44, bitOffset: 0, count: 15, dataType: "string", littleEndian: false }
]
const dataUnitArray = DataUnit.batchInit(json)

// io data source
const ioStr = '07000000994200999A425CF5C340429C28F5C28F5C40434147AE147AE141A1000042033E776A61636B736F6EE4BB8AE5A4A9E5A4A9E6B094E5A5BD'

// create hex parse (in Uint8Array)
const hexParse = new HexParse(HexUtils.toHexArray(ioStr))

// parse data
const newData = hexParse.parseDataArray(dataUnitArray)
console.log(DataUnit.toArrayString(newData))

// result
  运行状态: true
  报警状态: true
  自动状态: true
  生产数量: 153 个
  电流: 32.150001525878906 A
  电压: 55.2400016784668 V
  温度: 37.22 ℃, 38.51 ℃
  频率: 20.125 Hz, 32.81100082397461 Hz
  用户名: jackson
  报警内容: 今天天气好

/*********************************** EXAMPLE2 ***********************************/
import { DataUnit, HexParse, HexUtils } from '@oscura/iot-data-parse'

// data configuration that comes from xls file
const json = [
  { description: "运行状态", unit: "", name: "runStatus", byteOffset: 0, bitOffset: 0, count: 1, dataType: "bool", littleEndian: false },
  { description: "报警状态", unit: "", name: "alarmStatus", byteOffset: 0, bitOffset: 1, count: 1, dataType: "bool", littleEndian: false },
  { description: "自动状态", unit: "", name: "autoStatus", byteOffset: 0, bitOffset: 2, count: 1, dataType: "bool", littleEndian: false },
  { description: "生产数量", unit: "个", name: "productNumber", byteOffset: 1, bitOffset: 0, count: 1, dataType: "int", littleEndian: false },
  { description: "电流", unit: "A", name: "current", byteOffset: 5, bitOffset: 0, count: 1, dataType: "float", littleEndian: false },
  { description: "电压", unit: "V", name: "voltage", byteOffset: 9, bitOffset: 0, count: 1, dataType: "float", littleEndian: false },
  { description: "温度", unit: "℃", name: "temperature", byteOffset: 13, bitOffset: 0, count: 2, dataType: "double", littleEndian: false },
  { description: "频率", unit: "Hz", name: "frequency", byteOffset: 29, bitOffset: 0, count: 2, dataType: "float", littleEndian: false },
  { description: "用户名", unit: "", name: "username", byteOffset: 37, bitOffset: 0, count: 7, dataType: "string", littleEndian: false },
  { description: "报警内容", unit: "", name: "alarmContent", byteOffset: 44, bitOffset: 0, count: 15, dataType: "string", littleEndian: false }
]
const dataUnitArray = DataUnit.batchInit(json)

// create hex parse (in Uint8Array)
const hexParse = new HexParse()
hexParse.addUint8(0x07)
  // productNumber
  .addInt32(153)
  // current
  .addFloat32(32.15)
  // voltage
  .addFloat32(55.24)
  // temperature
  .addFloat64Array([37.22, 38.51])
  // frequency
  .addFloat32Array([20.125, 32.811])
  // username
  .addString("jackson")
  // alarmContent
  .addString("今天天气好")
  .assignRdDataViewByAddResult()

  // parse data
  const newData = hexParse.parseDataArray(dataUnitArray)
  console.log(DataUnit.toArrayString(newData))

// result
  运行状态: true
  报警状态: true
  自动状态: true
  生产数量: 153 个
  电流: 32.150001525878906 A
  电压: 55.2400016784668 V
  温度: 37.22 ℃, 38.51 ℃
  频率: 20.125 Hz, 32.81100082397461 Hz
  用户名: jackson
  报警内容: 今天天气好