What are the core functions of FWebSCADA in flux flow measurement? |thermal flow meter

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1. Introduction to InfluxDB

Command line format HTTP APIs/ping/query/write Simply put, RP is a component that periodically deletes old data. Similar functions in RRD and Graphite, CQ is a unique feature in InfluxDB. In some scenarios, the original data is at the second level, but when querying, only the aggregated value at the minute level is needed. If the second level data is queried and then aggregated into minute level data, it becomes redundant and inefficient. The function of CQ is to run an InfluxQL at regular intervals, pre calculate the data and store it in another location. Data queries only need to look up the calculated table, which greatly optimizes query response time and storage space. The series value in a database is (measurement) x (tag s

flume flow measurement|thermal flow meter

et) x (retention policy). The number of series has a significant impact on the performance of InfluxDB, and the more series there are, the greater the requirements for CPU and memory resources. So when storing data, it is important to pay attention to which data can be stored as fields and which data must be tags. InfluxData has also launched other components based on InfluxDB as the storage backend. Telegraf is a collector similar to Flume and Heka, while Chronograf is a frontend showcase similar to Grafana. Kapacitor is quite unique, as it is both an alarm detection component and an ETL component that can replace the functions of CQ, reducing the burden of executing a large number of CQs on InfluxDB itself.

What are the core functions of FWebSCADA in flux flow measurement? |thermal flow meter

1. Introduction to InfluxDB

2. What are the core functions of FWebSCADA?

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