Estude dados de iluminação usando um dispositivo de estação meteorológica

A seguinte série de tempo é gerada através da leitura de dados de iluminância da Tinker Forge Weather Station a cada 0,1 segundo por cinco segundos, enquanto mudando continuamente a orientação do dispositivo.

In[1]:=

ts = TemporalData[TimeSeries, {{{
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Quantity[101.30000000000001`, "Lux"], 
Quantity[194.9, "Lux"], 
Quantity[200.8, "Lux"], 
Quantity[169., "Lux"], 
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Quantity[169.60000000000002`, "Lux"], 
Quantity[149.1, "Lux"], 
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Quantity[62.300000000000004`, "Lux"], 
Quantity[66.4, "Lux"], 
Quantity[62.1, "Lux"], 
Quantity[75.4, "Lux"], 
Quantity[106.5, "Lux"], 
Quantity[189.4, "Lux"], 
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Quantity[186.20000000000002`, "Lux"], 
Quantity[175.3, "Lux"], 
Quantity[170.3, "Lux"], 
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       3.6042180438464176`17.309385928427066*^9, 
       3.6042180439474277`17.30938592843924*^9}}}, 1, {
    "Discrete", 1}, {"Discrete", 1}, 1, {
    ValueDimensions -> 1, 
     MetaInformation -> {
      "Illuminance" -> TemporalData`Self["PathComponent", 1]}}}, True,
    10.];

Traçe os valores de iluminância.

In[2]:=

Out[2]=

Calcule Min, Mean e Max para os dados.

mostre o input completo de Wolfram Language

Out[3]=

Gere dados de iluminância ligando e desligando, alternadamente, a fonte de luz ambiente.

In[4]:=

ts1 = TemporalData[TimeSeries, {{{
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Quantity[4.4, "Lux"], 
Quantity[4.4, "Lux"], 
Quantity[56.400000000000006`, "Lux"], 
Quantity[101.9, "Lux"], 
Quantity[102.30000000000001`, "Lux"], 
Quantity[102.10000000000001`, "Lux"], 
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Quantity[4., "Lux"], 
Quantity[3.9000000000000004`, "Lux"], 
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Quantity[9.700000000000001, "Lux"], 
Quantity[101.4, "Lux"], 
Quantity[102.2, "Lux"], 
Quantity[101.80000000000001`, "Lux"], 
Quantity[8.6, "Lux"], 
Quantity[3.7, "Lux"], 
Quantity[3.7, "Lux"], 
Quantity[3.7, "Lux"], 
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Quantity[102., "Lux"], 
Quantity[102.2, "Lux"], 
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Quantity[33.4, "Lux"], 
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Quantity[11.100000000000001`, "Lux"], 
Quantity[3.7, "Lux"], 
Quantity[3.8000000000000003`, "Lux"], 
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Quantity[80.5, "Lux"], 
Quantity[102., "Lux"], 
Quantity[102.10000000000001`, "Lux"], 
Quantity[101.9, "Lux"], 
Quantity[10.700000000000001`, "Lux"], 
Quantity[3.8000000000000003`, "Lux"], 
Quantity[3.7, "Lux"], 
Quantity[3.7, "Lux"], 
Quantity[3.8000000000000003`, "Lux"], 
Quantity[79.60000000000001, "Lux"], 
Quantity[102.10000000000001`, "Lux"], 
Quantity[102.10000000000001`, "Lux"], 
Quantity[101.9, "Lux"]}}, {{{
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    "Continuous", 1}, {"Discrete", 1}, 1, {
    ValueDimensions -> 1, 
     ResamplingMethod -> {"Interpolation", InterpolationOrder -> 1}, 
     MetaInformation -> {
      "Illuminance" -> TemporalData`Self["PathComponent", 1]}}}, True,
    10.];

O gráfico da série de tempo revela a natureza periódica aproximada dos dados.

In[5]:=