rtlamr-collect provides data aggregation for rtlamr. This tool in tandem with rtlamr provides easy and accurate data collection.
- GoLang >=1.13 (Go build environment setup guide: http://golang.org/doc/code.html)
- rtlamr
- InfluxDB >=1.4.2
Downloading and building rtlamr-collect is as easy as:
go get github.com/bemasher/rtlamr-collect
This will produce the binary $GOPATH/bin/rtlamr-collect
. For convenience it's common to add $GOPATH/bin
to the path.
rtlamr-collect is entirely configured through environment variables:
COLLECT_LOGLEVEL
Specifies what level of logging should be written to stderr, one of Panic, Fatal, Error, Warn, Info, Debug, Trace. Defaults to Info. Trace will print received messages.COLLECT_INFLUXDB_DRYRUN
Receive data, but do not commit to InfluxDB.COLLECT_INFLUXDB_HOSTNAME=https://localhost:8086/
InfluxDB hostname to write data to.COLLECT_INFLUXDB_TOKEN=########
InfluxDB token with write access to bucket. When connecting to a v1.8 instance, the token is of the form:username:password
COLLECT_INFLUXDB_ORG=########
InfluxDB organization. When connecting to a v1.8 instance, provide an arbitrary value.COLLECT_INFLUXDB_BUCKET=bucket_name
InfluxDB bucket to write data to. When connecting to a v1.8 instance, the bucket is of the form:database/retention_policy
COLLECT_INFLUXDB_MEASUREMENT=utilities
InfluxDB measurement data will be associated with.COLLECT_INFLUXDB_CLIENT_CERT=influxdb.crt
(optional) X.509 certificate to use for InfluxDB TLS client authenticationCOLLECT_INFLUXDB_CLIENT_KEY=influxdb.key
(optional) X.509 private key to use for InfluxDB TLS client authenticationCOLLECT_STRICTIDM=1
Ignores IDM with type 8 and NetIDM with type 7. This should probably always be enabled if you are simultaneously listening to IDM and NetIDM.
At a minimum rtlamr must have the following environment variables defined:
RTLAMR_FORMAT=json
rtlamr-collect input must be json.RTLAMR_FILTERID=000000000
List your meter id's here separated by commas. This is not strictly necessary, but it is highly recommended. Promiscuously listening to all the meters in a given area is likely to have high series cardinality and will negatively impact InfluxDB's performance.
rtlamr-collect
should take its input directly from the output of an rtlamr
instance through a pipe.
$ rtlamr | rtlamr-collect
rtlamr-collect
reads messages serialized as json from stdin. All new data points are written to the rtlamr
measurement in InfluxDB with 1s resolution.
All messages include the following tags:
protocol
: One of SCM, SCM+, IDM, NetIDM, R900, R900BCD.msg_type
: Either differential or cumulative.endpoint_type
: The meter's commodity type.endpoint_id
: The meter's serial number.
Meters transmitting cumulative
messages such as SCM, SCM+, R900, and R900BCD will insert only a single new point per message. These messages include only a single field consumption
.
Meters transmitting differential
messages such as IDM and NetIDM will insert a point for each differential interval the message contains, timestamped based on the interval. Fields included are consumption
and interval
. State for each meter is maintained so that only data for new intervals is sent to the database. On startup, rtlamr-collect
will gather this state for all of the previously seen differential meters to avoid duplicating data between runs.
Scaling received data so that it represents real units depends on the meter being monitored and is left as an exercise to the user.
Data visualization is left as an exercise for the user. I have had a good experience with grafana, however Chronograf and others should work equally well.
If you have any general questions or feedback leave a comment below. For bugs, feature suggestions and anything directly relating to the program itself, submit an issue in github.