Quality appraisal of remote sensing test equipment

remote sensing test equipment uses multi-spectral collaborative sensing and data inversion algorithms as its core principles. By optimizing sensor sensitivity, radiation calibration accuracy and environmental adaptability, it achieves the collaboration of high-precision extraction of surface parameters, target recognition and dynamic monitoring. It is widely used in ecological environment monitoring, agricultural yield estimation, disaster warning and military reconnaissance and other fields. In environmental monitoring, it is used to retrieve the concentration of atmospheric pollutants; in the field of precision agriculture, it meets the needs of multi-spectral assessment of crop growth; in geological disaster scenarios, it enables millimeter-level monitoring of surface deformation. Compared with traditional observation methods, remote sensing test equipment has the characteristics of wide-area coverage, multi-source data fusion and real-time transmission, and is the core equipment of the integrated air, space and ground sensing system.

Zhongke Testing is a product quality appraisal service organization registered with the court. It can provide quality appraisal services for remote sensing test equipment. It has a professional appraisal team and advanced instruments and equipment to provide fair and accurate appraisal results for the quality appraisal of remote sensing test equipment.

With the deepening of the application of remote sensing data, related quality dispute cases have increased significantly. The judicial dispute focuses on:

1, performance index dispute: radiation calibration error exceeds standard, spatial registration accuracy is insufficient;

2, material defect: CCD sensor dark current noise exceeds standard, Optical lens modulation transfer function;

3, process issues: focal plane component thermal control failure, data compression algorithm distortion rate;

4, contract performance dispute: key modules do not match the technical agreement.

The litigation appraisal technical method of remote sensing test equipment mainly includes the following steps:

1. Appearance inspection: Conduct a visual inspection of the appearance, structure, and nameplate information of the equipment to determine whether there are any abnormalities such as damage, deformation, defects, etc.

2. Functional test: According to the test procedures specified by the equipment, the various functions of the equipment are tested to verify whether the actual performance is consistent with the technical specifications.

3. Data analysis: Analyze the data obtained during the equipment testing process, compare the measurement results of the equipment with reference values or standard values, and evaluate the precision, accuracy and other indicators of the equipment.

4. Fault diagnosis: Analyze the cause of equipment failure through fault phenomena, internal structure inspection, electrical testing and other means to determine whether it is caused by design defects, assembly process, material quality and other factors.

An environmental protection agency of the applicant signed a "Hyperspectral Imager Procurement Contract" with an equipment manufacturer of the respondent, stipulating that the vegetation chlorophyll retrieval error is ≤10%. The measured data deviation exceeded 30%, and the manufacturer argued that the atmospheric correction model was improper.

identification analysis results:

The quality analysis expert group discussed and comprehensively analyzed the relevant information of the "remote sensing test equipment", contract technical agreement, on-site investigation case materials and other data, and made the following quality analysis Quantitative analysis opinion:

The nonlinear error in the radiation response of the remote sensing test equipment involved in the case reached 8% (agreement ≤ 3%) in the 650nm band, resulting in characteristic spectral distortion; the failure of the thermal control system caused the focal plane temperature to drift ±0.5°C, and the MTF value dropped to 0.15 (agreement ≥ 0.3).

The appraisal conclusion concluded that sensor performance defects are the main cause of data distortion.

Remote sensing test equipment quality appraisal report should include:

1, appraisal purpose and reference standards;

2, specifications of the pipe involved, production batch number, construction record;

3, inspection List of methods and equipment;

4, analysis of correlation between test data and failure;