The first predictive maintenance national standard GB/T 40571-2021 General Requirements for Predictive Maintenance of Intelligent Services, which was developed under the leadership of the Institute of Comprehensive Technology and Economics of Machinery Industry Instruments and under the jurisdiction of the National Technical Committee for Industrial Process Measurement, Control and Automation Standardization, will be officially implemented on May 1, 2022. After the implementation of this standard, the predictive maintenance field has already had a chapter to follow, completely saying goodbye to the era of no standards.
"There are rules to follow"
GB/T 40571-2021 General Requirements for Predictive Maintenance of Intelligent Services establishes a standard definition and classification of predictive maintenance concepts, improves the understanding of the industry and experts on predictive maintenance technology, serves as a guide for technology application, establishes a consensus on predictive maintenance technology, serves as a threshold for technology application, and divides the level of predictive maintenance industry. At the same time, the standard further standardizes the predictive maintenance system architecture, workflow, functional requirements, and application examples of typical equipment predictive maintenance technology, providing specifications and basis for predictive maintenance technology research and engineering implementation, making predictive maintenance technology "rule-based", helping to lead predictive maintenance technology innovation and standardize industry development.
"There is evidence"
In order to promote the healthy development of predictive maintenance industry, General Requirements for Predictive Maintenance of Intelligent Services (GB/T 40571-2021) has been incorporated into the testing and certification system, and industrial intelligence and predictive maintenance testing laboratories have been established. By judging, diagnosing and improving the compliance with standards and specifications of suppliers, users, solution suppliers and other enterprises engaged in predictive maintenance production and operation activities, we can help enterprises continuously improve the quality of products and services, and improve predictive maintenance continuous service capabilities. At the same time, we carried out the test and evaluation of predictive maintenance functions and models, promoted the accuracy and effectiveness of predictive maintenance implementation, provided credit proof for predictive maintenance market players, and solved the problem of information asymmetry. The inclusion of the testing and certification system makes the implementation of predictive maintenance "evidence-based", which helps to establish a market trust mechanism, improve the efficiency of market operation, and help to create "access certificates", "letters of credit" and "passes" for predictive maintenance market.
The standard verification platform will give Jiyisi more sustainable development
Predictive maintenance (PHM), as one of the typical applications of artificial intelligence technology in the field of intelligent manufacturing, is known as the light of the "future factory" in the industry. However, due to the diversity of application objects and the complexity of prediction algorithms, the implementation of this technology has long been plagued by problems such as non-standard solutions, unclear data collection, and unreliable prediction results. Standardized application guidance is urgently needed. The launch of the predictive maintenance national standard aims at the technical content of the national standard and establishes a predictive maintenance standard verification platform for intelligent manufacturing equipment facing typical failure modes. The standard verification platform includes functions such as data collection, status recognition, fault diagnosis, predictive maintenance, etc.
The core technology of Jiyisi Intelligent Technology (Nanjing) Co., Ltd. is derived from the company's real-time online monitoring and control of industrial equipment "blood" - lubricating oil, which helps customers accurately predict the health trend of equipment, and predict its future state by combining big data, artificial intelligence (AI) and other means, so as to achieve fault diagnosis, life prediction, equipment maintenance and management. In the future, through this verification platform, Jiyisi will greatly improve and shorten the research and development iteration speed of its electrochemical intelligent equipment diagnosis system and ultra precision filtration system products, and continuously improve the precision and breadth of products, which is crucial for the future development of Jiyisi.
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