GB/T 41392-2022 in English
VALIDImplementation guidelines for credit evaluation of public resource trading entities
- Issued on:2022-04-15
- Implemented on:2022-11-01
- File Format:PDF
- Delivery:Via email within 5 business days
$534.00
| Standard No: | GB/T 41392-2022 |
| Document status: | VALID |
| Title in English: | Implementation guidelines for credit evaluation of public resource trading entities |
| Title in Chinese: | 数字化车间可靠性通用要求 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 5 business days |
| Issued on: | 2022-04-15 |
| Implemented on: | 2022-11-01 |
| ICS Classification: | 25.040-Industrial automation systems |
| Professional Classification: | GB-National Standard |
| Related Topics: | Digitizing
workshop Automotive Electronics Reliability reliability hardware Reliability Quality Requirements "Digitizing overhead requirements Digital workshop GBT41392 GB/T 41392-2022 Universal for digital workshops Moped reliability Instrument assembly workshop requirements Inductor Universal Reliability military vehicle reliability |
《GB/T 41392-2022数字化车间可靠性通用要求》由TC124（全国工业过程测量控制和自动化标准化技术委员会）归口，TC124SC10（全国工业过程测量控制和自动化标准化技术委员会系统及功能安全分会）执行，主管部门为中国机械工业联合会。
Introduction
Analysis of the core content of the standard
GB/T41392-2022, as an important basic standard in the field of intelligent manufacturing, has systematically constructed a digital workshop reliability technology system for the first time. The standard proposes reliability requirements from three dimensions: production management system, control system, and key equipment, covering the entire life cycle of design, operation, and verification.
Comparison of key technical indicators
| System level | Key indicators | Verification method |
|---|---|---|
| Workshop level | MTBF≥10000h | On-site operation data + simulation verification |
| Production line level | OEE≥85% | Equipment comprehensive efficiency analysis |
| Equipment level | MTTR≤4h | Fault maintenance record statistics |
Key points for implementing reliability design
Typical case: An automotive parts company has increased the accuracy of key equipment fault warning to 92% by implementing the equipment status monitoring system in Appendix E of the standard. The system integrates vibration sensors (sampling frequency ≥ 10kHz) and temperature monitoring modules, and transmits data to the MES system in real time through the MQTT protocol.
Design criteria:
- Hardware redundancy: The key PLC controller adopts dual-machine hot standby
- Environmental protection: The operating temperature range of electronic components is extended by 20%
- Fault diagnosis: Establish a FMEA library containing 200+ fault modes
Standard evolution and industry impact
This standard and GB/T37393-2019 form a complementary relationship and together constitute the core of the intelligent manufacturing standard system. In the new energy battery production scenario, the company achieved the following by combining the two standards:
- Production abnormality response time was shortened by 60%
- Product defect rate was reduced to 50PPM
- Overall equipment efficiency (OEE) was increased by 15 percentage points
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