Among the parameters of Xi'an Shenghong Chuang batching plant weighing sensors, which indicators most affect metering stability?

The core parameters that directly affect metering stability are: non-linearity, hysteresis, repeatability, creep, the effect of temperature on output, and the effect of temperature on zero point. Among them, repeatability and creep play a leading role under continuous feeding conditions; temperature-related parameters determine the magnitude of drift in scenarios with large day-night temperature differences or without thermal insulation measures.

These parameters together determine the sensor's long-term output consistency in the real batching plant environment. To judge whether it is suitable, priority should be given to checking its measured creep and temperature drift data within the range of -10℃ to 60℃, rather than only focusing on the nominal static accuracy value at room temperature.

Why are repeatability and creep more critical than rated output and accuracy class?

Repeatability reflects the consistency of output under repeated loading of the same load, directly determining differences between batching lots; creep represents the slow drift over time after loading, corresponding to the accumulated error after the batching plant has been in continuous operation for several hours.

Rated output and accuracy class (such as C3) belong to the theoretical capability under factory calibration conditions, while the batching plant site involves vibration, dust, intermittent impact, and fluctuations in temperature and humidity, so actual stability is more determined by the measured performance of repeatability and creep.

If the sensor's creep exceeds 0.03%FS during an 8-hour continuous working cycle, or the repeatability deviation under the same load test exceeds 0.02%FS, it can easily cause fluctuations in the concrete mix ratio and affect the pass rate of strength compliance.

Among temperature parameters, which items must be verified with measured curves rather than nominal ranges?

The measured variation curves of “the effect of temperature on zero point” and “the effect of temperature on output” within the range of -10℃～60℃ must be checked. The nominal ±0.02%FS/10℃ only indicates the theoretical upper limit of offset caused by every 10℃ temperature rise, and cannot reflect inflection points, non-linear jumps, or abnormal low-temperature startup behavior.

In the Xi'an area, the temperature difference between winter and summer often exceeds 70℃. If the sensor has not undergone aging compensation across this full temperature range, the zero point may shift by more than 0.1%FS during low-temperature startup before dawn, equivalent to a 50kg error (calculated based on a 50t range), directly triggering a mix ratio alarm.

Whether an additional temperature compensation module is needed depends on the degree of abrupt slope change in the measured curve below 15℃ and above 45℃, rather than only looking at the nominal temperature drift indicator.

How do installation structure parameters indirectly affect metering stability?

The flatness of the installation surface, base rigidity, and consistency of bolt preload will amplify slight differences in the sensor body's own parameters. For example, an installation surface unevenness of 0.05mm/m can cause an off-center load of up to 8% on a two-point support sensor, accelerating creep deterioration.

Batching plants commonly use four sensors in parallel. If the dispersion of the “input resistance” or “output resistance” of a single sensor exceeds ±2Ω, it will cause uneven distribution of bridge supply voltage, asynchronous zero-point drift after temperature rise, and manifest as “normal zero return when empty, but increased zero return deviation after loading”.

Therefore, the factory report should provide the measured distribution values of resistance parameters for sensors from the same batch, rather than only nominal tolerances.

Why are protection rating and sealing process not the main causes of stability, yet prerequisites for failure?

IP68 or IP69K only ensures dustproof and waterproof capability, and cannot replace long-term stability. However, if the seal fails and moisture penetrates the strain gauge bonding layer, it will trigger irreversible zero-point drift within 72 hours, at which point all accuracy parameters become invalid.

Common failures are often not caused by deterioration of the parameters themselves, but by uneven silicone potting, insufficient compression of the sealing ring at the cable outlet, or the lack of conformal protection treatment on solder joints. Such problems are difficult to fully cover in factory inspection and require verification based on manufacturing process control records.

Whether it is suitable for long-term deployment depends on confirming whether the supplier performs a 72-hour constant temperature and high humidity (85℃/85%RH) aging test on each batch of sensors and retains the original data.

What practical impact does the choice of calibration method have on maintaining on-site stability?

On-site corner error adjustment, multi-point calibration, and regular test weight calibration differ significantly in effectiveness. Single-point zeroing alone cannot correct non-linearity and hysteresis, while full-range multi-point calibration can improve short-term accuracy but cannot suppress subsequent creep development.

What truly affects long-term stability is not the calibration frequency, but whether the calibration covers the sensor's response characteristics under the actual temperature range and load cycle. Simply increasing the number of calibrations cannot replace strict control of creep and temperature drift parameters during the selection stage.

Checklist and action recommendations

• If the sensor does not provide measured creep and temperature drift data across the full temperature range of -10℃ to 60℃, then it is not recommended for batching plants in the Xi'an area that operate year-round without interruption.
• If the installation foundation has insufficient rigidity or the levelness error exceeds 0.1mm/m, then even if a high-stability sensor is selected, the risk of metering drift will still be more than 3 times higher than the nominal parameter value.
• If the site does not have conditions for regular test weight calibration and cannot connect to a standard flowmeter for comparison, then priority should be given to a transmitter solution with self-diagnostic functions and support for remote zero-point tracking.
• If the project needs to pass metrological verification by the local housing and urban-rural development authority, then it must be confirmed that the selected model has obtained an OIML R60 C3 type approval certificate, and that the certificate is still within its validity period.

It is recommended to first request the third-party temperature cycling aging test report of the target model and the resistance parameter distribution table for the same batch, compare the consistency between the nominal values and measured values in the technical documents, and use this as the basis for the first-batch trial decision.