The data recording and remote monitoring function of sewage flow meters is the core means of achieving intelligent management, optimizing processes, and ensuring compliant discharge in modern sewage treatment systems.

1、 Sewage flowmeter data recording function:

1. Real time data collection

Flow monitoring: Real time measurement of instantaneous sewage flow rate (cubic meters per second or liters per second) through ultrasonic, electromagnetic, or mechanical sensors.

Cumulative flow statistics: Automatically calculate cumulative flow (such as daily, monthly, or annual total emissions) to provide a basis for water quantity accounting.

Multi parameter linkage: Some high * flow meters can synchronously record water quality parameters (such as pH, temperature, turbidity, etc.) COD）， Create a comprehensive dataset of flow and water quality.

2. Data storage and archiving

Local storage: Built in memory can store historical data and support temporary storage in disconnected environments.

Remote transmission: Upload data to the cloud or monitoring platform through communication technologies such as 4G/5G, LoRa, NB IoT, etc., to achieve long-term archiving.

Timestamp marking: Each data is accompanied by an accurate timestamp, making it easy to trace and analyze peak traffic or abnormal events.

3. Data visualization and report generation

Dynamic charts: Generate traffic trend charts and daily/monthly/annual reports to visually display the patterns of traffic changes.

Alarm record: Automatically record out of limit events (such as sudden increase in flow, equipment failure), and label the occurrence time and duration.

Export function: Supports data export to Excel, CSV, or PDF formats for easy integration with other management systems such as ERP and SCADA.

2、 Remote monitoring function of sewage flowmeter:

1. Remote access and control

Web or mobile monitoring:

Real time viewing of flow meter data, device status, and alarm information through a browser or dedicated app.

Support multi-user permission management (such as administrators, operations personnel, and regulatory departments).

Remote parameter settings:

Adjust parameters such as flow meter range, sampling period, alarm threshold, etc. to avoid on-site maintenance.

Remote start stop device or switching measurement mode (such as switching from instantaneous flow to cumulative flow).

2. Abnormal warning and notification

Intelligent diagnosis:

Identify sudden flow changes (such as pipeline leaks, pump station failures), sensor failures (such as signal loss, data drift).

Predicting equipment aging trends based on historical data, such as electrode wear and ultrasonic signal attenuation.

Multi channel alarm:

Push abnormal information through SMS, email, WeChat, or sound and light alarms.

Close valves or activate backup equipment in a coordinated manner to prevent sewage overflow or overload of the treatment system.

3. Distributed networked monitoring

Multi site integration:

Deploy multiple flow meters at key nodes of sewage treatment plants, pump stations, and pipeline networks to establish a comprehensive network flow monitoring system.

Annotate equipment locations through GIS maps and display real-time flow distribution and pipeline load at each point.

Data Fusion Analysis:

Based on data from liquid level gauges, pressure sensors, etc., determine the risk of pipeline blockage, overflow, or abnormal energy consumption.

Utilize machine learning algorithms to optimize scheduling strategies (such as dynamically adjusting the operating frequency of pump stations).