CN118035304A - Equipment full life cycle management method based on industrial Internet platform - Google Patents
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Abstract
The invention relates to the field of industrial Internet platforms, and particularly discloses a full life cycle management method of equipment based on an industrial Internet platform. The method comprehensively utilizes the technologies of high concurrency full-quantity data real-time acquisition technology, digital twin-based equipment cloud modeling technology, mxGraph and SVG-based online configuration visualization configuration technology, decision tree-based predictive maintenance and the like, and meets the requirements of remote real-time operation and maintenance of large-scale manufacturing industry by providing functions of ubiquitous connection, online configuration, real-time monitoring, efficiency analysis, equipment management, predictive maintenance and the like, so that the production quality of products is effectively improved, the operation cost of enterprises is reduced, the autonomous innovation capacity and level of the industries are remarkably improved, and the intelligent development process of the domestic manufacturing industry is accelerated.
Description
Technical Field
The invention relates to the field of industrial Internet platforms, in particular to a full life cycle management method of equipment based on an industrial Internet platform.
Background
The global manufacturing industry is in an important stage of development from digitization to networking and intellectualization, an industrial Internet platform becomes an important grip for development of a new intelligent manufacturing mode, and developed countries fall into industrial Internet in a dispute and preempt development.
The current industrial Internet platform construction faces bottlenecks in the aspects of industrial data acquisition, big data modeling analysis, industry mechanism model precipitation, industrial APP cultivation and the like, and has various problems of low equipment digitization level, relatively closed protocol standard, difficult equipment interconnection and intercommunication, low data quality, industry mechanism model deletion and the like. The research and development capability of the industrial software core technology is insufficient, the technical innovation and industrialization mechanism in the cross fusion field are lacking, and the key technology is highly dependent on import.
Disclosure of Invention
In order to meet the demands of discrete and flow industries in development aspects such as optimal design and manufacture, remote operation and maintenance and the like in a new intelligent manufacturing mode, the invention aims to provide a full life cycle management method of equipment based on an industrial Internet platform.
The technical scheme adopted by the invention for achieving the purpose is as follows:
an industrial internet platform-based device full lifecycle management system, comprising:
the device layer is used for connecting field devices and collecting device data through a non-blocking multithreading concurrent processing method;
The basic service layer is used for receiving the data acquired by the equipment layer and providing data analysis processing for the application layer;
The application layer is used for constructing a full life cycle management platform of the equipment and providing different services based on the data processed by the basic service layer;
and the presentation layer is used for carrying out visualization processing on the service provided by the application layer.
The device full life cycle management platform is constructed based on a micro-service architecture.
The device full life cycle management platform comprises:
the universal function module is used for system login of the equipment management platform, comprehensive statistics of the main page of the platform and account information maintenance of logged-in users;
The operation and maintenance management module is used for tenant information management, tenant personalized service and message notification;
The system management module is used for system parameter setting, user information management and authority management;
The device management module is used for full life cycle management, device grouping, device template definition, device data item management and data item alarm rule definition of the devices;
The configuration management module is used for monitoring view management and visual configuration design;
the device monitoring module is used for providing real-time device data monitoring;
The data management module is used for managing the historical data of the equipment, the alarm information and the log data, and inquiring and exporting the data;
the predictive maintenance module is used for establishing and maintaining a predictive model, predicting faults based on real-time data, generating a predictive maintenance plan and managing the maintenance plan;
And the data service module is used for carrying out various services based on the data and providing bottom layer support for the full life cycle management platform of the equipment.
The data service module comprises: real-time data acquisition service, alarm analysis service, historical data service, system log service and system message service.
In the application layer, the digital mapping is carried out on the characteristic, behavior and performance data of the equipment in the equipment full life cycle management platform by a digital twin method, a digital model of the equipment is constructed, and the equipment entity is controlled in real time by controlling the model.
An equipment full life cycle management method based on an industrial Internet platform comprises the following steps:
The device layer is connected with the field device and acquires device data through a non-blocking multithreading concurrent processing method;
the basic service layer receives data acquired by the equipment layer and provides data analysis processing for the application layer;
The application layer builds a device full life cycle management platform and provides different services based on the data processed by the basic service layer;
and the presentation layer is used for carrying out visualization processing on the service provided by the application layer.
The device full life cycle management platform performs the following steps:
The general function module carries out system login of the equipment management platform, comprehensive statistics of the main page of the platform and account information maintenance of login users;
the operation and maintenance management module is used for carrying out tenant information management, tenant personalized service and message notification;
the system management module is used for carrying out system parameter setting, user information management and authority management;
The equipment management module performs full life cycle management, equipment grouping, equipment template definition, equipment data item management and data item alarm rule definition of equipment;
The configuration management module is used for monitoring view management and visual configuration design;
the equipment monitoring module provides real-time equipment data monitoring;
the data management module is used for managing the historical data of the equipment, the alarm information and the log data, and inquiring and data exporting are carried out on the data;
the predictive maintenance module is used for establishing and maintaining a predictive model, predicting faults based on real-time data, generating a predictive maintenance plan and managing the maintenance plan;
the data service module performs various services based on the data and provides bottom layer support for the full life cycle management platform of the equipment.
The application layer digitally maps the characteristics, behaviors and performance data of the equipment in the equipment full life cycle management platform through a digital twin method, builds a digital model of the equipment, and controls equipment entities in real time through control of the model.
An equipment full life cycle management system based on an industrial Internet platform comprises a memory and a processor; the memory is used for storing a computer program; the processor is used for realizing the equipment full life cycle management method based on the industrial Internet platform when executing the computer program.
A computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the method for device full lifecycle management based on an industrial internet platform.
The invention has the following beneficial effects and advantages:
1. the invention has good expandability and can meet the requirement of service growth in future.
2. The invention has better compatibility, and can integrate other newly added monitoring systems of similar equipment on the premise of providing a standard unified data interface. The client program can be ensured to be normally used in the environments of Win7, win10 and the like, and the browser supports the modern kernel browser with the version of IE 11.0 and above and common use.
3. The invention collects multidimensional data (such as displacement, temperature, noise, vibration, time, power supply, etc.) at the equipment terminal.
Drawings
FIG. 1 is a diagram of the overall architecture of a device management cloud platform;
Fig. 2 is a block diagram of a cloud access gateway system architecture.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
The method comprehensively utilizes the technologies of high concurrency full-volume data real-time acquisition technology, digital twin-based equipment cloud modeling technology, mxGraph and SVG-based online configuration visualization configuration technology, decision tree-based predictive maintenance and the like, and meets the requirements of remote real-time operation and maintenance of large-scale manufacturing industry by providing functions of ubiquitous connection, online configuration, real-time monitoring, efficiency analysis, equipment management, predictive maintenance and the like, so that the production quality of products is effectively improved, the operation cost of enterprises is reduced, the autonomous innovation capacity and level of the industries are remarkably improved, and the intelligent development process of the domestic manufacturing industry is accelerated.
The method comprehensively utilizes the technologies of high concurrency full-quantity data real-time acquisition technology, digital twin-based equipment cloud modeling technology, mxGraph and SVG-based online configuration visualization configuration technology, decision tree-based predictive maintenance and the like, and meets the requirements of remote real-time operation and maintenance of the large-scale manufacturing industry by providing functions of equipment ubiquitous connection, online configuration, real-time monitoring, efficiency analysis, equipment management, predictive maintenance and the like, so that the production quality of products is effectively improved, the operation cost of enterprises is reduced, the autonomous innovation capacity and level of the industries are remarkably improved, and the intelligent development process of the domestic manufacturing industry is accelerated.
(1) Core technology
■ High concurrency full-volume data real-time acquisition technology
Based on non-blocking multithreading concurrent processing technology, the Hadoop, kafka, rest API and other technologies are fused, real-time acquisition of high-volume concurrent data is realized, and the method is a basis of a full-life-cycle equipment management cloud platform.
■ Equipment cloud modeling technology based on digital twinning
The digital twin model of the equipment entity is constructed by digitally mapping the information such as the characteristics, the behaviors and the performances of the equipment entity, so that the knowledge, the analysis and the optimization of the equipment entity, the bidirectional interaction of key data and the monitoring management of the whole life cycle of the equipment are realized. During operation of the device, changes in the device entity will be dynamically reflected on the digital twinning, through which the user can also control the device entity in real time.
■ On-line configuration visualization configuration technology based on MxGraph and SVG
And the SVG technology is utilized to expand MxGraph a graphic library, so that the graphic library suitable for discrete and process industry is constructed, the on-line editing and the visual configuration layout are realized, and the functions of equipment real-time monitoring and intelligent production management are further realized.
■ Predictive maintenance technique based on decision tree
Through decision tree analysis technology, equipment real-time data is utilized to accurately predict equipment faults, and a targeted maintenance plan is formulated according to prediction results, so that equipment maintenance cost of enterprises is saved.
(2) Industrial cloud platform access gateway
The cloud access gateway adopts heterogeneous network protocol access, self-organizing network routing energy optimization, network communication self-optimization, network data security transmission, automatic register mapping, industrial control system protocol conversion and other technologies to realize the functions of access of field devices with various protocols, information interaction among devices, low-delay transmission of network data, field network management by upper layer service and the like.
(3) Full life cycle device management cloud platform
The equipment management cloud platform is an application service platform conforming to the SaaS mode, namely an equipment management system which builds all network infrastructures, software and hardware operation platforms required by equipment management informatization for enterprises and is responsible for a series of services such as implementation in all earlier stages, maintenance in later stages and the like, and the enterprises can rent through the Internet without purchasing software and hardware, building machine rooms and recruiting IT personnel. The equipment management cloud platform can realize functions including general functions, operation and maintenance management, system management, equipment management, configuration management, monitoring management, data management, predictive maintenance and data service.
The technical scheme adopted for realizing the purpose of the invention is as follows:
(1) Micro-service framework: spring Boot
The method adopts a micro-service mode to design, and uses Web service, real-time service, alarm service, log service and message service as micro-service to be independently developed and deployed, springBoot is an open-source micro-service implementation framework, and the cloud primary application development is verified by a plurality of large-scale systems, so that the method becomes a preferred framework for micro-service architecture development.
First, micro services solve the complexity problem. It breaks down the monolithic application into a set of services. While the total amount of functionality is unchanged, the application has been broken down into manageable modules or services. These services define explicit RPC or message driven API boundaries. The micro-service architecture strengthens the level of application modularity, which is difficult to achieve with single code libraries. Thus, micro-services are developed much faster, and easier to understand and maintain.
Second, this architecture allows each service to be independently developed by a team focusing on that service. The developer is free to choose the development technique as long as the service API contract is met. This means that developers can write or reconstruct services using new techniques, which do not have much impact on the overall application, since the services are relatively small.
Third, the micro-service architecture may enable each micro-service to be deployed independently. The developer need not coordinate the deployment of service upgrades or changes. These modifications may be deployed immediately after the test passes. The micro-service architecture also enables CI/CD.
Finally, the micro-service architecture allows each service to be extended independently. Only the constraint conditions such as configuration, capacity, number of examples and the like meeting the service deployment requirements are defined, and the lateral expansion of the service capability can be provided for the platform.
(2) Micro-service management: springCloud A
After the system is divided into a plurality of micro-services, each micro-service and a plurality of instances of the micro-service need a unified management means to manage and schedule, and the system adopts Spring Cloud to carry out unified management of the micro-services. The service governance is the most core and basic module in the micro-service architecture, and is used for realizing the automatic registration and discovery of each micro-service instance.
Service registration: in the service management framework, a registry is constructed, each service unit registers the service provided by itself with the registry, and informs the registry of additional information such as host and port number, version number, communication protocol, etc., and the registry organizes the service list by service name classification. The service registration center also needs to monitor whether the service in the list is available in a heartbeat mode, and if not, the service registration center needs to be removed from the service list so as to achieve the purpose of clear obstacle.
Service discovery: the invocation of the service is accomplished by initiating a request call to the service name. And calling the consultation service of the service registry, and acquiring an instance list of all the services to realize the access to the specific service instance.
The micro-service management framework solves the complex scheduling problem and the operation and maintenance management problem among the micro-services, so that each micro-service and service instance are automatically coupled, and unified and stable background service is provided for upper-layer application.
(3) Relational database: mysql
MySQL is a relational database management system, and in terms of Web applications, mySQL is the best RDBMS application software, and large-scale application practice is performed in the internet industry.
By means of the cluster, master-slave mechanism and other mechanisms of Mysql, the high-concurrency data read-write function can be achieved, and the multi-tenant high-concurrency application requirements of the equipment management cloud platform are met.
(4) Message queues: kafka
Kafka is a high throughput distributed publish-subscribe messaging system with the following characteristics:
● The persistence of messages is provided by a disk data structure that maintains long-term stability for message storage even in TB.
● High throughput: even very common hardware Kafka can support millions of messages per second.
● Partitioning messages through Kafka server and consumer clusters is supported.
● And supporting Hadoop parallel data loading.
By utilizing the high throughput characteristic of Kafka, the system can meet the large-scale data acquisition requirement of an industrial field, effectively avoid the situation of data delay waiting under a high concurrency scene, and improve the instantaneity of the system. Meanwhile, kafka is used as a popular open source technology, has high compatibility with a big data technology platform, and can provide a convenient and fast original data acquisition way for the big data platform of an enterprise.
(5) History database: influxDB
InfluxDB is a time-series database that is used to handle mass write and load queries. InfluxDB is intended to be used as a back-end store for any use case involving large amounts of time stamp data, including DevOps monitoring, application indicators, internet of things sensor data, and real-time analysis. The main characteristics are as follows:
● The HTTP API is built in, and server-side codes do not need to be developed to start and run.
● Custom high performance data stores specifically written for time series data. The TSM engine has high performance write and data compression functions.
● The data may be tagged allowing for very flexible queries.
● SQL-like query language
● Simple installation and management, and high data input and output speed
● Responding to the query in real time. The data write is indexed and a query service with a response time less than 100ms can be provided immediately.
The industrial field equipment data has the following characteristics: firstly, the data acquisition frequency is high, and massive original data can be generated; second, the data typically varies over the interval, creating a large amount of redundant data. Therefore, the history database must meet the requirements of high-speed writing, high-speed reading and data compression. InfluxDB is one of the effective solutions, and by means of a service cluster, the performance expansion of the history database can be further performed.
(6) Data acquisition service: rest API
The design goals of data acquisition services are mainly focused on both high concurrency connections and data access standards.
High concurrency connection: by adding a load balancing mode at the front ends of a plurality of data acquisition services, large-scale equipment access requests are effectively dispersed, and the high availability of the system is improved. The device management platform can increase or decrease data acquisition service nodes through tracking the data acquisition service performance indexes, and flexibly adjust the data acquisition service capacity to meet the concurrent demands.
Data access standard: in order to ensure the universality and platform independence of the device management cloud platform, the system performs protocol conversion on the data of the field device by means of an adaptation layer (gateway or driver) and performs bidirectional data communication according to the interface standard of the platform. The platform provides services externally in a Rest API form, and the Rest API is an API specification based on an Http protocol and has wide applicability and cross-platform characteristics.
(7) Predictive maintenance: decision tree analysis technique
Predictive maintenance (PREDICTIVEMAINTENANCE, PM for short) is helpful to judge the running state of the machine in real time through continuous data measurement and analysis, state monitoring, fault diagnosis, life prediction and other technologies, optimize the maintenance time of the machine, make a corresponding maintenance plan and reduce maintenance cost. With the ability to accurately predict, the entire process of manufacturing the service can become more proactive, targeted, and data-supported. Predictive maintenance techniques will change the customer's equipment maintenance and production policies.
According to the invention, through a decision tree analysis technology, equipment real-time data is utilized to accurately predict equipment faults, and a targeted maintenance plan is formulated according to a prediction result, so that equipment maintenance cost of enterprises is saved.
(8) Visual configuration design: mxgraph A
Mxgraph is a browser-side graphic design technique based on SVG vector graphic technique, and provides a dynamic graphic design tool based on SVG standard. The system is combined mxgraph to provide a powerful online visual configuration design tool, and provides rich configuration picture design functions for tenants through the expansion of graphic primitives, the support of interactive controls, the setting of animation display, the binding of data sources and the setting of display attributes.
SVG is currently supported on most modern browsers as a vector graphics technology standard at the browser end. Therefore, based on the mxgraph monitoring view, most modern browsers can be compatible, and meanwhile, the display of the mobile terminal is compatible.
(9) Front end design frame: bootStrap A
Bootstrap provides elegant HTML and CSS specifications, making Web development faster, more efficient, and standardized.
Based on the technical route, the equipment management cloud platform opens up the technical bottlenecks of all links, forms a good expansion foundation, and provides reliable guarantee for the construction of a platform application service system.
As shown in fig. 1 and fig. 2, the technologies of high concurrency full-volume data real-time acquisition technology, digital twin-based equipment cloud modeling technology, mxGraph and SVG-based online configuration visualization configuration technology, decision tree-based predictive maintenance and the like are comprehensively utilized, and the functions of equipment ubiquitous connection, online configuration, real-time monitoring, efficiency analysis, equipment management, predictive maintenance and the like are provided, so that the requirements of remote real-time operation and maintenance of a large-scale manufacturing industry are met, the production quality of products is effectively improved, the operation cost of enterprises is reduced, the autonomous innovation capacity and level of the industry are remarkably improved, and the intelligent development process of the domestic manufacturing industry is accelerated.
The equipment management cloud platform is an application service platform conforming to the SaaS mode, namely an equipment management system which builds all network infrastructures, software and hardware operation platforms required by equipment management informatization for enterprises and is responsible for a series of services such as implementation in all earlier stages, maintenance in later stages and the like, and the enterprises can rent through the Internet without purchasing software and hardware, building machine rooms and recruiting IT personnel. Based on the Chinese-Cork micro PaaS platform, the system framework is deeply designed by combining the standard service and the modern open source technology of the platform, the virtualization technical advantages of the cloud computing platform are fully exerted, the elastic capacity expansion is taken as a target, and the flexible SaaS mode system framework is realized from multiple layers of hardware service capability, software function expansion, equipment information management, high concurrency data acquisition, visual online configuration, predictive maintenance and the like, so that the full life cycle management of equipment is completed.
(1) Core technology
■ High concurrency full-volume data real-time acquisition technology
Based on non-blocking multithreading concurrent processing technology, the Hadoop, kafka, rest API and other technologies are fused, real-time acquisition of high-volume concurrent data is realized, and the method is a basis of a full-life-cycle equipment management cloud platform.
■ Equipment cloud modeling technology based on digital twinning
The digital twin model of the equipment entity is constructed by digitally mapping the information such as the characteristics, the behaviors and the performances of the equipment entity, so that the knowledge, the analysis and the optimization of the equipment entity, the bidirectional interaction of key data and the monitoring management of the whole life cycle of the equipment are realized. During operation of the device, changes in the device entity will be dynamically reflected on the digital twinning, through which the user can also control the device entity in real time.
■ On-line configuration visualization configuration technology based on MxGraph and SVG
And the SVG technology is utilized to expand MxGraph a graphic library, so that the graphic library suitable for discrete and process industry is constructed, the on-line editing and the visual configuration layout are realized, and the functions of equipment real-time monitoring and intelligent production management are further realized.
■ Predictive maintenance technique based on decision tree
Through decision tree analysis technology, equipment real-time data is utilized to accurately predict equipment faults, and a targeted maintenance plan is formulated according to prediction results, so that equipment maintenance cost of enterprises is saved.
(2) Industrial cloud platform access gateway
The cloud access gateway adopts heterogeneous network protocol access, self-organizing network routing energy optimization, network communication self-optimization, network data security transmission, automatic register mapping, industrial control system protocol conversion and other technologies to realize the functions of access of field devices with various protocols, information interaction among devices, low-delay transmission of network data, field network management by upper layer service and the like.
The cloud access gateway includes a device service layer, a core service layer, and a support service layer, as shown in fig. 2.
Device service layer
The device service layer is used for connecting physical devices, the north-orientation connection cloud management platform supports network protocols such as REST, OPC-UA, MQTT and the like. Southbound connection field devices such as actuators, wireless transmitters, smart equipment, AVG robots, robotic arms, etc. Industrial ethernet, wireless protocols such as WIRELESSHART, MODBUS are supported.
Core service layer
The data transmission method comprises the steps of relevant management of data collected from south-side field devices, processing requests sent to the south-side devices by north-oriented cloud platform applications, and persistent storage device data and gateway service configuration management functions.
Supporting a service layer
For analysis of data, support functions such as logging, scheduling, and data cleansing are provided. Providing local analysis functions such as rule engines, alarms and notifications, device operation and maintenance information, etc.
(3) Full life cycle device management cloud platform
The equipment management cloud platform is an application service platform conforming to the SaaS mode, namely an equipment management system which builds all network infrastructures, software and hardware operation platforms required by equipment management informatization for enterprises and is responsible for a series of services such as implementation in all earlier stages, maintenance in later stages and the like, and the enterprises can rent through the Internet without purchasing software and hardware, building machine rooms and recruiting IT personnel. The equipment management cloud platform can realize functions including general functions, operation and maintenance management, system management, equipment management, configuration management, monitoring management, data management, predictive maintenance and data service.
■ General function
The general function mainly comprises a system login function of the equipment management cloud platform, a platform comprehensive statistics main page and an account information maintenance function of a login user;
■ Operation and maintenance management
The operation and maintenance management is a management function oriented to platform service providers and mainly comprises tenant information management, tenant personalized service and message notification.
■ System management
The system management is the comprehensive management function of tenant management personnel on the system, and mainly comprises system parameter setting, user information management and authority management.
■ Device management
The device management is a comprehensive management function of tenants on the life cycle of the device, and comprises full life cycle management of intelligent devices, life cycle management of user devices, device grouping, device template definition, device data item management and data item alarm rule definition.
■ Configuration management
Configuration management is a function of designing and managing visual configuration pictures in tenants, and mainly comprises monitoring view management and visual configuration design.
■ Device monitoring
The equipment monitoring function is based on the visual configuration picture and provides a real-time equipment data monitoring function.
■ Data management
The data management comprises management of equipment historical data, management of alarm information and management of log data, and the comprehensive query and data export functions of various data are realized.
■ Predictive maintenance
Predictive maintenance is a device fault prediction function implemented based on decision tree techniques. Including the creation and maintenance of predictive models, fault prediction based on real-time data, the generation of predictive maintenance plans, and the management of maintenance plans.
■ Data service
The data service is basic and core service of the platform, and comprises five services of real-time data acquisition, alarm analysis, historical data, system logs and system messages, wherein the service functions have clear boundaries and simple interaction, and provides stable bottom layer support for the platform.
The full life cycle equipment management cloud platform is an important component part of the industrial Internet, and combines advanced technologies such as cloud computing, big data, artificial intelligence and the like to realize mass data convergence analysis and ubiquitous connection of manufacturing resources and promote the manufacturing industry to complete intelligent transformation. The construction of the platform will tamp the development foundation of the industrial Internet, break through the bottleneck of the industrial Internet construction, and overcome the key technology in the fusion field.
Claims (10)
1. An industrial internet platform-based device full life cycle management system, comprising:
the device layer is used for connecting field devices and collecting device data through a non-blocking multithreading concurrent processing method;
The basic service layer is used for receiving the data acquired by the equipment layer and providing data analysis processing for the application layer;
The application layer is used for constructing a full life cycle management platform of the equipment and providing different services based on the data processed by the basic service layer;
and the presentation layer is used for carrying out visualization processing on the service provided by the application layer.
2. The industrial internet platform-based device full lifecycle management system of claim 1, wherein the device full lifecycle management platform is constructed based on a micro-service architecture.
3. The industrial internet platform-based device full lifecycle management system of claim 1, wherein the device full lifecycle management platform comprises:
the universal function module is used for system login of the equipment management platform, comprehensive statistics of the main page of the platform and account information maintenance of logged-in users;
The operation and maintenance management module is used for tenant information management, tenant personalized service and message notification;
The system management module is used for system parameter setting, user information management and authority management;
The device management module is used for full life cycle management, device grouping, device template definition, device data item management and data item alarm rule definition of the devices;
The configuration management module is used for monitoring view management and visual configuration design;
the device monitoring module is used for providing real-time device data monitoring;
The data management module is used for managing the historical data of the equipment, the alarm information and the log data, and inquiring and exporting the data;
the predictive maintenance module is used for establishing and maintaining a predictive model, predicting faults based on real-time data, generating a predictive maintenance plan and managing the maintenance plan;
And the data service module is used for carrying out various services based on the data and providing bottom layer support for the full life cycle management platform of the equipment.
4. A device full life cycle management system based on an industrial internet platform as claimed in claim 3, wherein the data service module comprises: real-time data acquisition service, alarm analysis service, historical data service, system log service and system message service.
5. The full life cycle management system of industrial internet platform based equipment according to claim 1, wherein in the application layer, the digital mapping is performed on the characteristic, behavior and performance data of the equipment in the full life cycle management platform by a digital twin method, a digital model of the equipment is constructed, and the equipment entity is controlled in real time by controlling the model.
6. The equipment full life cycle management method based on the industrial Internet platform is characterized by comprising the following steps of:
The device layer is connected with the field device and acquires device data through a non-blocking multithreading concurrent processing method;
the basic service layer receives data acquired by the equipment layer and provides data analysis processing for the application layer;
The application layer builds a device full life cycle management platform and provides different services based on the data processed by the basic service layer;
and the presentation layer is used for carrying out visualization processing on the service provided by the application layer.
7. The device full life cycle management method based on the industrial internet platform as claimed in claim 6, wherein the device full life cycle management platform performs the steps of:
The general function module carries out system login of the equipment management platform, comprehensive statistics of the main page of the platform and account information maintenance of login users;
the operation and maintenance management module is used for carrying out tenant information management, tenant personalized service and message notification;
the system management module is used for carrying out system parameter setting, user information management and authority management;
The equipment management module performs full life cycle management, equipment grouping, equipment template definition, equipment data item management and data item alarm rule definition of equipment;
The configuration management module is used for monitoring view management and visual configuration design;
the equipment monitoring module provides real-time equipment data monitoring;
the data management module is used for managing the historical data of the equipment, the alarm information and the log data, and inquiring and data exporting are carried out on the data;
the predictive maintenance module is used for establishing and maintaining a predictive model, predicting faults based on real-time data, generating a predictive maintenance plan and managing the maintenance plan;
the data service module performs various services based on the data and provides bottom layer support for the full life cycle management platform of the equipment.
8. The full life cycle management method of equipment based on the industrial internet platform according to claim 6, wherein the application layer digitally maps the characteristics, behaviors and performance data of the equipment in the full life cycle management platform by a digital twin method, builds a digital model of the equipment, and controls equipment entities in real time by controlling the model.
9. The equipment full life cycle management system based on the industrial Internet platform is characterized by comprising a memory and a processor; the memory is used for storing a computer program; the processor is configured to implement a device full lifecycle management method based on an industrial internet platform as claimed in any one of claims 6-8 when executing the computer program.
10. A computer readable storage medium, wherein a computer program is stored on the storage medium, which when executed by a processor, implements a full lifecycle management method for an industrial internet platform based device according to any of claims 6-8.
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