It mainly introduces the following aspects:

1. Project introduction (brief introduction of the basic situation of the project)

Rotating machinery plays an irreplaceable role in economic production. Industrial equipment represented by rotating machinery continues to develop in the direction of large-scale, complete sets, high-speed and intelligent. Industrial complete equipment and production systems are closely coupled. The chain reaction caused by the operating conditions of the equipment affects the production and operation of the entire equipment and the entire production line, which will cause huge economic losses. Serious circumstances will lead to catastrophic accidents such as machine crashes and deaths, causing significant social impact. Therefore, the research on intelligent IoT and remote operation and maintenance technology in equipment manufacturing can promote the formation of a "anticipatory maintenance system" and ensure the safe, reliable, long-term and efficient operation and maintenance of these key equipment. Avoid huge economic losses and catastrophic accidents. After Japan adopted equipment monitoring and diagnosis technology, annual equipment maintenance costs were reduced by 20%~50%, and downtime reduced by 75%. After more than 2000 companies in the UK adopt diagnostic technology, annual equipment maintenance costs can be reduced by about 300 million pounds. Japan Airlines has adopted monitoring technology for its JI3D jet engine to increase its overhaul life from 1200 hours to more than 12000 hours. Harbin Institute of Technology has successfully solved difficult vibration failures of more than 20 turbo-generator units across the country, and achieved direct economic benefits of more than 400 million yuan. It can be seen that condition monitoring and fault diagnosis of rotating machinery have important social significance and economic value. Online condition monitoring and fault diagnosis system for mechanical equipment: There is huge demand and rapid development. The system can realize the interconnection and interaction between the management department, the operation site, the diagnosis expert and the equipment manufacturing factory. It has continuous and rapid data collection, good real-time data processing, and comprehensive and rich analysis and diagnosis functions, which are conducive to data accumulation and resource sharing, effectively reduce production line maintenance costs, and improve operating efficiency.

Equipment manufacturing IoT intelligence and remote operation and maintenance integrate technologies such as the Internet of Things, big data, and artificial intelligence, and provide data-based service system support through equipment status monitoring, intelligent networked control systems, data service systems, expert systems and cloud service platforms. Change the rough operation evaluation and design optimization model, improve equipment efficiency, improve production processes, strictly eliminate ineffective production, and effectively help enterprises improve quality and efficiency. The intelligent system promotes the transformation and upgrading of traditional industries. The equipment manufacturing IoT intelligent and remote operation and maintenance system helps the industry upgrade from three levels through the boost of the intelligent system, including: 1. Through equipment status monitoring, providing data support, changing the rough operation evaluation and design optimization model to achieve information upgrades and process upgrades. 2. Improve equipment efficiency, improve production processes, strictly eliminate ineffective production, effectively help enterprises improve quality and efficiency, and achieve management upgrades and efficiency upgrades. 3. Covering the entire process of crushing, screening, warehousing, and transportation, and communicating with enterprise ERP to form a true full-chain interoperability and achieve the upgrade of the entire industry chain.

Information collection and sensing device technology for various components of electromechanical and hydraulic, high precision of weak signals and blind source separation technology, heterogeneous multi-sensor and signal inversion technology, form the basis for equipment operation monitoring and evaluation; complete equipment intelligent numerical control system, stand-alone electromechanical and hydraulic servo system Collaborative optimization to achieve the energy level requirements of different equipment and adapt to flexible production process adjustment; The production process and operating state optimization and adjustment technology maintains good flexibility of the system, forms a self-configuration, self-optimization, and self-decision strategy of the system, and realizes the decentralized control of a single machine of intelligent mechanical equipment and the intelligent monitoring and automatic feedback of the entire production line. Linkage.

2. Cooperation content

(1) Brief introduction of the main related technologies involved (mainly introduce the main technical contents involved in this project and other technologies that need to be supported)

The equipment manufacturing IoT intelligent and remote operation and maintenance system is developed by integrating technologies such as condition monitoring and fault diagnosis fields, signal sensing, databases, network communication, and computer information systems. The main technologies involved are as follows:

1. Real-time status monitoring and remote operation and maintenance

Through a series of sensing and detection devices, the operating parameters of each electromechanical component of the equipment are collected in real time, and the data is processed front-end through technologies such as high precision of weak signals and blind source separation of signals, heterogeneous multiple sensors and signal inversion, forming a device The basis for operation monitoring and evaluation.

2. Intelligent IoT series equipment

Through a series of sensing and testing devices, industrial equipment and equipment such as rotating machinery are intelligently upgraded. Through the research and development of these technologies, the industry has taken the lead in forming a series and complete set of intelligent equipment for industrial equipment such as rotating machinery.

3. Universal airborne information collection device

The key to the intelligence of industrial equipment and production lines such as rotating machinery lies in having an airborne information collection device that is convenient to deploy and accurately collect. There are many specifications of crushing equipment. The airborne information collection device needs to be universal and can adapt to a variety of crushing equipment and a variety of sensors; It is necessary to have a data preprocessing algorithm, and the collected equipment operating data can be preprocessed based on a compressed sensing algorithm, which is convenient for data transmission and background processing. It is convenient to install, easy to wire, and improves anti-interference.

4. Intelligent CNC server with complete equipment

Intelligent CNC system for complete equipment: Collaborative optimization of single-machine electromechanical and hydraulic servo system, expandable front and rear level linkage and power matching, realizing the energy level requirements of different equipment, and adapting to flexible production process adjustment. Through technologies such as high-precision acquisition of weak signals, blind source separation of signals, heterogeneous multiple sensors and signal inversion, the basis for equipment operation monitoring and evaluation is formed.

Conduct modularization and integration framework research on sensing devices, acquisition processors, local equipment, electronic control systems, etc., realize dynamic discovery, aggregation and adaptation of modular capability components, improve the flexibility of intelligent system construction, and increase the stability of the system., easy to maintain.

5. Load of the entire process chain and process optimization technology

In order to improve production efficiency, the system can adapt to real-time changes in the production environment of the production line. An equipment standard information model was established, and the optimal production operation parameters of equipment and production lines were found through the model and automatically adjusted in real time. The equipment load on the production line is constantly changing. The load is evaluated through material level testing, electrical parameter testing and equipment feeding weighing to form reasonable load parameters, guide the production process, and provide feedback control. Achieve self-configuration, self-maintenance, self-optimization, and self-decision of the system.

6. Automated distributed network management and control system

Achieve decentralized control of a single machine of intelligent mechanical equipment and intelligent monitoring and automatic control of the entire production line. The system completely completes cyclic operation control under normal circumstances, fault alarm and protection control under abnormal circumstances, and system control and fault alarm under emergency situations, realizing safe production and economic operation of the system.

7. Mechanical equipment IoT cloud service platform and data center

Based on the cloud platform and data center expert systems for health assessment, fault diagnosis, and production process optimization, comprehensive service support for users at different levels and with different needs in the entire process of production, management, operation and maintenance is established. Accumulate and mine production data, strengthen the interaction between the machine and the external environment to improve its own performance, and realize self-decision-making of the complete system. In turn, intelligent optimization of equipment parameters and production processes is realized, and effective performance improvement and optimization can be achieved under the constraints of existing physical conditions of equipment and production line processes.

8. Intelligent signal processing

1) Signal noise reduction and vibration source identification

The operating environment of large-scale rotating machinery is very complex, with large background noise interference, non-stationary and nonlinear characteristics, which seriously affects the accuracy of fault diagnosis. Wavelet transform, information entropy and other technologies are used to denoise the signal to improve the signal's signal-to-noise ratio.

2) Fault feature extraction technology

According to the characteristics of the separated fault source signals, techniques such as short-time Fourier transform, wavelet transform, wavelet packet analysis and empirical modal analysis are used to extract fault characteristics. A time-frequency analysis method suitable for non-stationary and nonlinear signals is adopted to accurately extract various fault characteristic information is a key issue to improve the accuracy of fault diagnosis.

(2) Proposed cooperation areas and cooperation objects (mainly describe the areas and recipients of cooperation in the project)

There is no limit to cooperation areas,

Undertaking objects: equipment manufacturing, industrial manufacturing enterprises, industrial automation enterprises, intelligent manufacturing enterprises, intelligent factories

(3) Proposed cooperation model (briefly introduce the future business model of the project and the cooperation model you hope to carry out)

1. Intelligent upgrade of mechanical products

Install a universal airborne information collection device on mechanical products, an airborne information collection device that is convenient to deploy and accurately collect. There are many specifications for crushing equipment. The airborne information collection device needs to be universal and can adapt to a variety of crushing equipment and a variety of sensors; It is necessary to have a data preprocessing algorithm, which can preprocess the collected equipment operating data based on the compressed sensing algorithm, which is convenient for data transmission and background processing. It is convenient to install, easy to wire, and improves anti-interference.

2. Development of full life cycle service platform

Provide intelligent upgrading and transformation services for production lines, establish an Internet of Things cloud service platform for mechanical production lines, develop system functional modules such as production line distributed control, intelligent production status monitoring, video monitoring, remote status display, and customized mobile phone monitoring software, and complete deployment. Continuous debugging.

3. Provide intelligent manufacturing system support for secondary development

Through the on-site industrial communication network, production process data collection and analysis system, and production and manufacturing execution system, a digital production process is established, the underlying information collection and feedback mechanism is effectively established, the real-time control of the production process is enhanced, and the product design and process are realized in an information environment. Integrated related management and collaborative optimization of design, production and manufacturing.

In view of the current situation of repeated development and inability to rapidly develop and deploy discrete intelligent manufacturing systems due to the lack of common basic components, we have formed a series of gateways, information models, protocol stacks, and middleware around common component equipment and production processes such as CNC machine tools, PLCs, and sensors. Common components of intelligent manufacturing systems provide configurable and secondary development intelligent manufacturing system support for the discrete manufacturing industry.

2. Cooperation cases (if there are demonstrations, applications, etc., available)

It has been industrially applied in large-scale complete sets of typical equipment such as rotating machinery. More than 50 large-scale production lines have been applied at home and abroad. Based on extensive customer production line data analysis and user use reports, after applying this system, it has achieved significant results in terms of product output, product quality, service life, management efficiency, transportation efficiency, etc., and at the same time significantly reduce the company's labor costs, maintenance costs, downtime, and energy consumption, achieving cost reduction and efficiency improvement for customers, and increasing comprehensive income by more than 30%.

2014,"Research on Condition Monitoring and Fault Diagnosis Technology of Large Rotating Machinery"

2017 Intelligent Manufacturing Pilot Demonstration of the Ministry of Industry and Information Technology: "Remote Operation and Maintenance Service for Large-scale Fine Crushing and Screening Complete Equipment"

2017 Shanghai's first breakthrough: "New Fine Broken Intelligent Complete Equipment for the Internet of Things"

Shanghai Informatization Development Project: "Research and Application of Crushing and Screening Intelligent Production Line Based on Internet of Things Information Technology"

3. Project implementation unit (brief introduction of the main undertaking unit and cooperating unit of the project)

Project Undertaker: Shanghai Advanced Research Institute, China Academy of Sciences

The Shanghai Institute for Advanced Study of China Academy of Sciences is a central legal entity and an independent national scientific research institution affiliated to China Academy of Sciences, with an overall planned investment of 12 billion yuan. The Institute for Advanced Studies is committed to enhancing independent innovation capabilities and focusing on high-tech development directions such as information, energy, materials, biology, and ecological environment. It is committed to taking the lead in transforming the economic growth mode, conducting industrial technology development trends, technology foresight and strategy research, promoting the development of pillar industries and industrial structural adjustment, and promoting the growth and development of small and medium-sized scientific and technological enterprises and emerging high-tech enterprises. Responsible for cooperation between the Ministry of Science and Technology, the Ministry of Industry and Information Technology, the Chinese Academy of Sciences, the Shanghai Science and Technology Commission, and enterprises, including the "863 Plan","973 Plan", major scientific and technological projects, with a total funding of nearly 1.5 billion yuan. More than 200 patents have been applied.

The Institute of Advanced Studies and the University of Science and Technology of Shanghai are integrated into the Shanghai Pudong Science and Technology Park of China Academy of Sciences. They participate in the co-construction of the University of Science and Technology throughout the entire process, sharing scientific research resources, teacher resources and student resources. The University of Science and Technology has an enrollment of 6000 people, including 4000 graduate students and 2000 undergraduate students.

The Institute of Advanced Studies has a professional department to provide information consultation on patents, industries, science and technology policies, and provides scientific and technological information resource guarantee for theoretical research, technological innovation, and intellectual property rights. The National Science Library of China Academy of Sciences provides literature information guarantee, strategic intelligence research services, public information service platform support and scientific exchange and dissemination services for independent scientific and technological innovation in natural sciences, marginal interdisciplinary sciences and high-tech fields. At the same time, it provides information services to scientific research institutions in other fields of the national innovation system through national science and technology literature platforms and joint construction and sharing. The National Science Library of China Academy of Sciences is an important member of the International Federation of Library Associations and Institutions (IFLA) and has established stable cooperative relationships with documentary and intelligence agencies in many countries such as the United States, Germany, South Korea, and Russia.

Relying on the National Science Library of China Academy of Sciences, the Library of Advanced Research provides literature information services including document lending, full-text delivery and interlibrary, and China Academy of Sciences institutional knowledge base grid integration services. It provides information research services including subject information, industry information, patent information, etc., and provides nearly 100 academic database resources including EI, ISI-ESI, ACM, IEEE, CNKI, and Founder. It has a leading academic theoretical research environment in China.