Mine ventilation equipment quality appraisal

mine ventilation equipment is based on the core principle of efficient airflow organization and safety control collaboration. By optimizing the main fan air volume, negative pressure efficiency and energy consumption control, it achieves the balanced distribution of air volume in the mine ventilation network, the dilution of harmful gases and the coordination of emergency backwind response. It is widely used in the field of ventilation safety assurance in metal mines, coal mines and tunnel projects. In deep well mining, it is used to control heat damage in high-temperature and high-humidity environments; in gas outburst mines, it meets the demand for dynamic control of methane concentration; in dust prevention and control, it ensures the concentration of respirable dust on the working surface. Compared with traditional ventilation systems, mine ventilation equipment has the characteristics of intelligent frequency control, strong corrosion resistance and remote monitoring, and is the core equipment for safe production in mines.

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

As mining safety regulations become stricter, related quality dispute cases have increased significantly. The judicial dispute focuses on:

1. Dispute over performance indicators: the air volume of the main fan does not meet the standard and the resistance of the ventilation network exceeds the standard;

2. Material defects: the fatigue strength of the aluminum alloy of the fan blade is insufficient and the flame retardant performance of the air duct is poor;

3, process issues: frequency converter harmonic distortion rate, reverse air gate seal leakage rate;

4, contract performance dispute: core modules (such as smart sensor accuracy, emergency power switching system) are inconsistent with the technical agreement.

Mine ventilation equipment quality appraisal technical methods mainly include:

1. Equipment appearance inspection

Check whether the appearance of the equipment meets the design requirements and whether there are defects such as deformation, damage, rust, etc.

2. Equipment performance test

Test whether the performance of the equipment meets the standard requirements, including air volume, wind pressure, efficiency and other indicators.

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A coal mine of the applicant signed a "Main Ventilator System Procurement Contract" with an equipment manufacturer of the respondent, and it was agreed that the reverse wind switching time should be ≤5 minutes. The switchover during the accident drill took 18 minutes, and the manufacturer argued that it was caused by fluctuations in the power grid.

identification analysis results:

The quality analysis expert group discussed and comprehensively analyzed the relevant information of "mine ventilation equipment", contract technical agreements, on-site investigation case materials and other data, and made a comprehensive technical analysis. The following quality analysis opinions:

The inverter output frequency of the mine ventilation equipment involved fluctuates ±3Hz (agreed ±0.5Hz), the damper actuator is stuck (response delay >30s); the fatigue crack expansion rate at the blade root exceeds the agreed value by 2 times, and the air volume is attenuated by 25%.

The appraisal conclusion determined that defects in the control system and materials were the main causes of the reverse wind failure.

Mine ventilation equipment quality appraisal report should include:

1, appraisal purpose (such as safety accident attribution, performance verification) and reference standards;

2, involved equipment model, control system version, operation and maintenance records;

3, detection method and equipment list ( Such as anemometer, direct reading spectrometer);

4, detection data and failure correlation analysis (such as the impact of frequency fluctuation on switching time);