GB/T 44406-2024Production process quality data acquisition system—Performance assessment and calibration (English PDF)

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1: Structure and drafting rules for standardization documents" Drafting is required.

Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.

This document was proposed by the China Machinery Industry Federation.

This document is under the jurisdiction of the National Technical Committee for Standardization of Industrial Process Measurement, Control and Automation (SAC/TC 124).

This document was drafted by: Mechanical Industry Instrumentation Comprehensive Technical and Economic Research Institute, Ningbo Metrology and Testing Research Institute (Ningbo New Materials Testing Institute Testing and Inspection Center), Hangzhou Jiwang Communication Technology Co., Ltd., Wuhan Dongyan Smart Design Institute Co., Ltd., China University of Metrology, Wuxi Vocational and Technical College, Shenyang Institute of Automation, Chinese Academy of Sciences, SUPCON Technology Co., Ltd., Huazhong University of Science and Technology, Hangzhou Wolei Intelligent Technology Technology Co., Ltd., Mianyang Weibo Electronics Co., Ltd., Guangdong Radio and Television Metrology and Testing (Hunan) Co., Ltd., China Quality Certification Center Center, Shaanxi Yanchang Petroleum (Group) Co., Ltd.

The main drafters of this document are: Wang Chengcheng, Cen Zhibo, Lv Wen, Wang Kai, Wang Peijun, Liu Peng, Wang Yingchen, You Heping, Huang Yu, Wang Jun, Liu Yang, Wang Qiang, Yu Wenguang, Yuan Ye, Guo Bin, Peng Zhenghong, Jiang Xianzhi, Zhou Juan, Lv Xueli, Gan Lamei, Hu Xiaofeng, Wang Zhenglong, Li Dong, Qian Lili, and Li Dong.

Introduction

The production process quality data acquisition system is mainly used in the smart factories of manufacturing enterprises to monitor the production process quality of their production workshops.

The system monitors and collects the data in real time and inputs it into the unified interface within the system to continuously enrich the database and realize dynamic real-time acquisition.

Since the production process quality data collection system can adopt a variety of different collection methods and collection equipment, There is no unified standard for performance evaluation and calibration methods of quality data acquisition systems.

The performance of a process quality data acquisition system (PQDAS) refers to the ability to perform the required The degree to which functionality is provided. The system can accurately perform the tasks required by the system within the specified response time. If the system performs multiple tasks, then The ability to process and execute these tasks without interfering with each other is therefore very important.

When a system has to complete several tasks at the same time, its performance will change, which requires the execution of each task separately. Analyze the situation.

Therefore, in order to evaluate the performance of a system, it is necessary to categorize the system properties in a hierarchical manner. The sub-characteristics of performance include.

speed, response time, processing power, reliability, and intelligence.

Performance cannot be evaluated directly, but needs to be determined by analyzing and testing its sub-characteristics. In order to determine the various sub-characteristics, information The transformation analyzes the system, examining sub-characteristics through each information flow of the system.

The performance of a system depends first on the design of the system and second on the possible changes (through hardware and software) during the manufacturing and integration phases of the system. Factors introduced.

There are interdependencies between the various sub-characteristics of performance. There may be no uniform measure of system performance because different tasks There can be different numbers of information transformations. When these information transformations share a common facility, there are interdependencies between them.

The performance evaluation techniques mainly include analytical evaluation techniques, experimental evaluation techniques, and tests under influencing conditions.

The requirements of Chapter 8 of GB/T 18272.4-2006 shall be followed.

This document describes the evaluation characteristics and influencing factors of the production process quality data acquisition system, and provides a standardized and unified performance evaluation system.

The evaluation and calibration methods can help realize the automation and intelligence of data collection and analysis in the production process.

Production process quality data acquisition system Performance Evaluation and Calibration

1 Scope

This document describes the evaluation characteristics, influencing factors, evaluation estimation and calibration methods.

This document is intended for system users, enterprises and independent organizations responsible for conducting assessments to evaluate system performance.

2 Normative references

GB/T 34049

GB/T 34050

GB/T 36411

3 Terms and definitions

The following terms and definitions apply to this document.

4 Evaluation characteristics