Hi @Fabio_Bracht and welcome in the MongoDB Community 
!
Here is the document I inserted in my collection (same as your but with ObjectId instead of $oid).
db.col.insert({
"_id": ObjectId("5f58b71b6f6d360f356a02ba"),
"cnpjCpf": "97515035072",
"producao": {
"impressoras": [{
"_id":
ObjectId( "5f5a3c0cd84b5a2a8bd5d50c")
,
"impressora": "Etirama",
"z": [{
"_id":
ObjectId("5f5a4f7cd6c4678dd0a533de")
,
"z": "10",
"modulo": "x",
"facas": [{
"_id":
ObjectId("5f5a51642c26e32e008ecb12")
,
"faca": "01",
"largura": "x"
}, {
"_id":
ObjectId( "5f5a516f027b588538f52914")
,
"faca": "02",
"largura": "y"
}]
}, {
"_id":
ObjectId( "5f5a4fadd6c4678dd0a533df")
,
"z": "20",
"modulo": "x",
"facas": [{
"_id":
ObjectId( "5f5a502dd6c4678dd0a533e2")
,
"faca": "01",
"largura": "x"
}, {
"_id":
ObjectId( "5f5a5078d6c4678dd0a533e3")
,
"faca": "02",
"largura": "y"
}]
}, {
"_id":
ObjectId("5f6a303c758a0f9e8a1219ae")
,
"z": "100",
"modulo": "1,5 mm",
"desenvolvimento": "320",
"encolhimento": "310",
"distorcao": "96.875"
}],
"perfil": [{
"_id":
ObjectId("5f5a4fbcd6c4678dd0a533e0")
,
"perfil": "papel",
"cores": {
"other": {
"curva": ["g34"],
"hd": ["hd05"],
"lineatura": ["112"]
}
}
}, {
"_id":
ObjectId("5f5a4fded6c4678dd0a533e1")
,
"perfil": "bopp",
"cores": {
"cyan": {
"curva": ["h40"],
"hd": ["hd05"],
"lineatura": ["112"]
}
}
}]
}, {
"_id":
ObjectId("5f6a3a395179f2a3c2c7ae05")
,
"impressora": "Komexy",
"banda": "Larga",
"trap": ["0.05", "0.20", "0.25"],
"espessura": ["1.14", "1.7"]
}]
}
})
Here is the aggregation pipeline I wrote:
[
{
'$match': {
'producao.impressoras.z._id': new ObjectId('5f5a4f7cd6c4678dd0a533de')
}
}, {
'$unwind': {
'path': '$producao.impressoras'
}
}, {
'$match': {
'producao.impressoras.z._id': new ObjectId('5f5a4f7cd6c4678dd0a533de')
}
}, {
'$unwind': {
'path': '$producao.impressoras.z'
}
}, {
'$match': {
'producao.impressoras.z._id': new ObjectId('5f5a4f7cd6c4678dd0a533de')
}
}, {
'$replaceRoot': {
'newRoot': '$producao.impressoras.z'
}
}
]
And here is the result I get:
{
"_id" : ObjectId("5f5a4f7cd6c4678dd0a533de"),
"z" : "10",
"modulo" : "x",
"facas" : [
{
"_id" : ObjectId("5f5a51642c26e32e008ecb12"),
"faca" : "01",
"largura" : "x"
},
{
"_id" : ObjectId("5f5a516f027b588538f52914"),
"faca" : "02",
"largura" : "y"
}
]
}
The intermediate $match are optional. Only the last one is really mandatory to get your result but the previous $match stages insure that we remove all the useless documents from the pipeline as soon as possible.
We can see this logic in MongoDB Compass:
It’s probably not the most optimized way to solve your query. But I think it does the job done.
I hope it helps and I’m curious if someone can find a better solution for this or not.
Cheers,
Maxime.