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What factors should be considered when choosing a water quality multi parameter sensor monitoring instrument?

When selecting a water quality multi parameter sensor monitoring instrument, it is necessary to comprehensively evaluate the four core dimensions of monitoring demand matching, equipment performance reliability, scene adaptability, and operation and maintenance convenience, in order to avoid monitoring failure caused by parameter mismatch or insufficient performance. The following are key considerations, sorted by priority:


1、 Core premise: Clearly define "monitoring requirements" and match key parameters

The core value of a monitoring device is to accurately obtain target water quality indicators. It is necessary to first clarify "what to measure and what accuracy to measure", in order to avoid blindly pursuing multiple parameters and neglecting core requirements:

1.1 Determine the required parameters based on the application scenario and lock in the core indicators, instead of default selection of "full parameters" (some parameters may be redundant, increasing costs). For example:

Drinking water monitoring: residual chlorine, turbidity, pH value, and water temperature must be selected (some scenarios require additional testing of heavy metals and TOC);
Aquaculture: dissolved oxygen (DO), water temperature, ammonia nitrogen, pH value (additional salinity measurement is required for seawater aquaculture) must be selected;
Industrial wastewater: COD, ammonia nitrogen, pH value, and suspended solids (SS) must be selected (total phosphorus and total nitrogen may need to be measured for chemical wastewater). Attention: Priority should be given to selecting models with "expandable parameters" to avoid the need for re procurement in case of future demand changes.

1.2 Confirming the accuracy of parameters and range directly determines the validity of data, and it is necessary to match the tolerance of the scene for errors:
For example, the accuracy of dissolved oxygen in aquaculture needs to reach ± 0.1mg/L (excessive error can cause the aerator to trigger or not trigger); The COD range of industrial wastewater needs to cover 0-1000mg/L (high concentration wastewater needs to support measurement after dilution, or choose a high range sensor);
To avoid "high precision leading to cost waste": For example, in scenic water monitoring, there is no need to pursue laboratory grade accuracy (such as turbidity ± 0.01NTU), and industrial grade ± 0.1NTU can meet the demand.


2、 Equipment performance: Ensure "long-term stability" and adapt to complex water environments

Water quality monitoring devices are often deployed outdoors or in harsh water environments (such as highly polluted wastewater and high salt seawater), and their performance stability directly affects their service life and data continuity
2.1 The sensor material and anti pollution ability material should be resistant to water corrosion, scaling, and biological attachment (to avoid frequent cleaning leading to data interruption):
Sensor probes that come into contact with water bodies: 316L stainless steel, titanium alloy (acid and alkali resistant, suitable for industrial wastewater) or PPS engineering plastic (lightweight, suitable for freshwater/seawater) are preferred;
Anti biological attachment design: Choose models with "automatic cleaning function" (such as ultrasonic cleaning, brush cleaning), especially suitable for eutrophic water bodies (such as lakes and fish ponds), to reduce the accuracy decrease caused by algae and microbial attachment.

2.2 Data stability and calibration cycle
Long term stability: prioritize sensors with "small drift" (such as dissolved oxygen sensors with monthly drift ≤ 0.05mg/L) to avoid frequent calibration;
Calibration convenience: Supports "on-site calibration" (no need to disassemble back to the laboratory) or "automatic calibration" (for example, some models can preset calibration cycles and automatically calibrate with standard solution), reducing the difficulty of operation and maintenance (especially in remote scenarios where manual calibration costs are high).
2.3 Power Supply and Communication: Adapting to Deployment Environments
Power supply method:
Outdoor areas without power grid: choose solar power supply+lithium battery backup (need to confirm the power of the solar panel, such as 10W or more, suitable for rainy weather endurance, recommended endurance ≥ 7 days);
In areas with power grids: choose AC220V power supply+lithium battery backup (to prevent data loss caused by power outages);
Communication method:
Long distance (such as river basins and offshore aquaculture): Priority is given to LoRaWAN (transmission distance 1-10km, low power consumption, no wiring required);
Urban dense areas (such as municipal pipeline networks): 4G/5G/NB IoT (with strong real-time performance and confirmation of operator signal coverage) can be selected;
Laboratory/Small Range: Optional RS485/Bluetooth (close range wired/wireless transmission, low cost).


3、 Scenario adaptation: Match the "installation environment" to reduce deployment barriers

The installation conditions and water characteristics vary greatly in different scenarios, and it is necessary to ensure that the equipment can be installed, used, and durable:
3.1.Installation method: Suitable for water body morphology
River/lake (open water area): Choose float installation (anti overturning design is required, such as adjustable draft and wind and wave resistance level ≥ 4);
Pipe network/sewage outlet (closed pipeline): Choose pipeline installation (matching pipe diameter, such as DN50/DN100 flange interface, to avoid water leakage);
Shallow water area/shore (such as fish ponds and wetlands): Choose shore support/insertion type (no need for buoys, easy installation, and prevention of sedimentation).
3.2 Protection level: Suitable for harsh environments
Outdoor deployment: the protection level of core components (host and junction box) shall be ≥ IP66 (rainstorm and dustproof);
Underwater sensors: Protection level must be ≥ IP68 (long-term immersion without leakage, some models support a depth of 10 meters underwater);
Low/high temperature environment: The working temperature range needs to be confirmed, such as -20 ℃~60 ℃
3.3Anti-interference ability
Industrial scenarios (such as near chemical plants and power plants): It is necessary to choose models with "anti electromagnetic interference (EMC)" design to avoid strong electrical and RF signals affecting data transmission;
High salt environment (seawater aquaculture): It is necessary to choose a host casing that is "anti salt spray corrosion" to extend the service life of the equipment.


4、 Operations and Data: Reducing Long Term Costs and Ensuring Data Availability
The difficulty of subsequent operation and maintenance of the equipment, as well as the efficiency of data processing, directly affect long-term usage costs
4.1.Convenience of operation and maintenance
Consumables replacement: Priority should be given to models with "low consumables" or "easily replaceable consumables" (such as dissolved oxygen sensor membranes that can be replaced on-site without the need for a complete sensor replacement);
Fault warning: supports "remote monitoring of device status" (such as battery level, sensor failure, communication interruption) to avoid problems only being discovered during manual inspections (especially in remote scenarios);
Weight and size: Outdoor installation models need to be lightweight (such as buoy type total weight ≤ 5kg), easy to transport and install, and reduce labor costs.
4.2.Data management capability
Data storage and export: Supports "local storage+cloud storage" (local storage prevents network interruption and data loss, such as SD card storage for ≥ 6 months of data; Cloud support for historical data query and trend analysis;
Platform compatibility: Can be integrated with third-party platforms, supports API interfaces, MQTT protocol (to avoid data silos, no need for additional development and integration);
Alarm function: Supports "multi-dimensional alarms" (such as parameter exceedance, equipment failure), and the alarm methods can be selected from SMS, APP push, and platform pop ups.

Summary: Choose Logic
Firstly, clarify the core requirements of "monitoring parameters, accuracy, and scenarios";
Re match "sensor material, power supply communication, performance adaptation;
Finally evaluate the difficulty of operation and maintenance, data management, and long-term costs.
Through the above screening, it can be ensured that the selected water quality multi parameter sensor monitoring instrument is "accurate, stable, user-friendly, and economical", truly meeting the actual monitoring needs.




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