CN116186139A - Instrument and meter product full life cycle information sensing platform based on micro-service architecture - Google Patents
Instrument and meter product full life cycle information sensing platform based on micro-service architecture Download PDFInfo
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Abstract
The invention aims to solve the problems of low compliance of an industrial system in the instrument industry and the instrument industry with enterprise management, low software compatibility, insufficient data resource sharing capability and the like, and provides an instrument product full life cycle information sensing platform based on a micro-service architecture, which comprises a front-end interface, a micro-service application, a log system, safety management, multi-source heterogeneous data acquisition and storage and a product full life cycle data model. The whole life cycle data of the product is collected, processed and managed through research, development, design, manufacturing and service multisystem data protocol conversion, heterogeneous database middleware and multisource heterogeneous data consistency management methods, and the flow of data across departments, enterprises and industrial chains is realized through establishing a whole life cycle data model of the product, so that strategic management and control of internal support enterprises and industrial chain resource integration among external support enterprises based on data driving are realized.
Description
Technical Field
The invention belongs to the field of intelligent manufacturing informatization, and particularly relates to an instrument and meter product full life cycle information sensing platform based on a micro-service architecture.
Background
The digital design level of the domestic instrument and meter industry is low, the data fusion of the whole life cycle of the product is realized through industrial software and an informatization system, and the digitization, the automation, the production management visualization, the after-sales maintenance remodelling and the like of the product design and research and development process are realized through data driving. At present, the software systems used by instrument manufacturers are various, so that the full life cycle data of the product come from different software systems, the data interfaces, protocols, formats and the like among the different software systems are different, and the database types, data storage modes, data query modes and the like among the different systems are also different, so that the data are difficult to be used for analyzing, managing and optimizing the full life cycle of the product.
Disclosure of Invention
The invention aims to solve the problems of low compliance of an industrial system in the instrument industry and the instrument industry with enterprise management, low software compatibility, insufficient data resource sharing capability and the like, and provides an instrument product full life cycle information sensing platform based on a micro-service architecture, which comprises a front-end interface, a micro-service application, a log system, safety management, multi-source heterogeneous data acquisition and storage and a product full life cycle data model; the front-end interface is used for providing user operation and data information display functions, and the front-end adopts Vue+Nodejs+element+ES 6 as an independent front-end frame by calling the back-end through an API; the micro-service application comprises a gateway cluster, a configuration center, a registration center, a back-end service, service fusing, load balancing, service monitoring and heterogeneous service; the log system is realized by combining an integrated ELKF (elastic search+Logstar+Kibana+Filebeat) architecture with an HDFS file system; the security management comprises micro-service data encryption, authority control and configuration encryption; the multi-source heterogeneous data collection and storage originates from application systems PLM, CRM, MES, NC, ERP, SCM of different units; the product full life cycle data model is derived from a multi-source heterogeneous data acquisition module, and comprises a design stage, a purchasing stage, a production stage, a sales stage and an after-sales stage.
Based on the scheme, the independent front end frame specifically comprises: vue-router in Vue is used for front-end rights management; nodejs is used for compiling and developing environment of the front end, wherein an Axios plug-in is used for sending an HTTP library of an ajax request; the Elementui is used for rendering the front-end page effect; ES6 (ECMAScript 6) is used to optimize JavaScript language for writing complex large applications, supporting arrow operators, class operations, character templates, grammar performance optimization.
Based on the scheme, the gateway cluster of the micro service application adopts Spring Cloud Gateway to provide customized APIs for each client of the front-end interface; the configuration center/registration center of the micro service application adopts Nacos to provide service registration, discovery and configuration management functions; the back-end service of the micro service application adopts SpringCloud; service fusing of the micro service application adopts Sentinel; the call load balancing of the internal API of the micro-service application is realized by using OpenFeign; the service monitoring of the micro service application adopts Spring Boot Admin (SBA) for managing and monitoring the micro service SpringBoot application program; the heterogeneous services of the micro-service application are implemented by a Sidecar intermediate service agent.
On the basis of the scheme, the FileBeat collects logs which are frequently analyzed and searched in the production process, monitors specified log files or positions, collects log events, and forwards the log events to an elastic search or Logstar for visual index mode to be provided for operation and maintenance personnel; historical logs and large log files in the Flume collection platform are stored in the HDFS file system, so that the mass log system can analyze and store the large logs conveniently; cleaning and filtering the high-frequency retrieval log in the platform by adopting the Logstar; analyzing a lightweight system log in a platform by adopting an elastic search, and realizing interface visualization by combining Kibana; and the internal logs of the whole life cycle information sensing platform of the instrument and meter products are collected into an elastic search through an ELKF system and are analyzed and stored.
On the basis of the scheme, the internal and external data transmission of the micro-service in the platform is encrypted by AES; the combined encryption of https (symmetric encryption+RSA asymmetric encryption+CA mechanism authentication) is adopted for network data transmission; the Spring Cloud Gateway gateway is used for controlling the rights among the micro services, and aiming at the RESTful interface rights control, the functions of safety protection, IP blacklist and authentication are realized; jasypt encrypts the configuration of the microservice.
Based on the scheme, structured data acquisition in the full life cycle information sensing platform of the instrument and meter product based on the micro-service architecture provides two modes of a RestApi interface and a Kafka message queue, and semi-structured and unstructured data provides three modes of an FTP protocol, a Scp transmission protocol and a FastDFS communication protocol; the multi-source heterogeneous data storage adopts a database cluster mode, multi-source heterogeneous structured data collected by each application system are stored in a relational database cluster MySQL, unstructured data are stored in a file server cluster FastDFS, log data are stored in an ELKF log system, structured data of high-frequency search are stored in a search engine elastic search retrieval cluster, data persistence backup is carried out, and user operation cache data are stored in a cache database cluster Redis.
The invention has the beneficial effects that:
the platform realizes the collection, processing and management of the whole life cycle data of the product through research and development/design/manufacturing/service multisystem data protocol conversion, heterogeneous database middleware and multisource heterogeneous data consistency management methods, and realizes the flow of data across departments, enterprises and industrial chains by establishing a whole life cycle data model of the product, thereby realizing strategic management and control of internal support enterprises and industrial chain resource integration among external support enterprises based on data driving.
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The invention has the following drawings:
FIG. 1 is a full life cycle information sensing platform micro-service architecture of an instrument product;
FIG. 2 is a full life cycle information sensing platform data model of an instrument product.
Detailed Description
The invention is further illustrated below in conjunction with fig. 1-2 and the specific embodiments, it being understood that these embodiments are meant to be illustrative of the invention only and not limiting the scope of the invention, and that modifications to the invention in its various equivalents will fall within the scope of the claims appended hereto, after reading the invention.
As shown in fig. 1, a micro-service architecture of an instrument product full life cycle information sensing platform based on the micro-service architecture comprises a front end interface, a micro-service application, a log system, security management, multi-source heterogeneous data acquisition and storage.
The front-end interface of the full life cycle information sensing platform of the instrument and meter product based on the micro-service architecture is used for providing user operation and data information display functions, and the front-end uses Vue+Nodejs+Elementu+ES 6 as an independent front-end frame by calling the rear-end through an API. Vue-router in Vue is used for rights management at the front end. Nodejs is used for compiling and developing environment of the front end, and an Axios plug-in is used for sending HTTP library of ajax request. Elementui is used for front-end page effect rendering. ES6 (ECMAScript 6) is used to optimize JavaScript language so that the language can be used to write complex large-scale applications, supporting arrow operators, class operations, character templates, grammar performance optimization, etc.
The micro-service application of the instrument and meter product full life cycle information sensing platform based on the micro-service architecture mainly comprises a gateway cluster, a configuration center/registration center, a back-end service, service fusing, load balancing, service monitoring and heterogeneous service.
The gateway cluster of the micro service application provides custom APIs for each client of the front-end interface using Spring Cloud Gateway. The gateway has the main functions that: (1) And forwarding a request to an internal micro-service, and carrying out unified authentication, current limiting, fusing and logging on all the requests. (2) Protocol conversion, which aims at a plurality of different protocols at the back end, provides services with HTTP protocol after unified processing at the gateway layer. (3) unified error code processing.
The configuration center/registration center of the micro service application adopts Nacos to provide service registration, discovery and configuration management functions. The registered service is discovered through a DNS or HTTP interface, and real-time health check is performed to prevent sending a request to an unhealthy host or service instance; managing the configuration of all the services in a centralized and dynamic mode, and dynamically configuring the services to realize the hot deployment of service configuration; supporting access to external services of heterogeneous languages, and exposing endpoints of services registered on Nacos in a domain name mode; support services and metadata management, including managing descriptions of services, lifecycle, static dependency analysis of services, health status of services, traffic management of services, routing, and security policies. The Nacos realizes configuration isolation through configuration namespaces and groups, realizes that the configuration of each version and each production line of the full life cycle information sensing platform of the instrument and meter products is not affected, can be managed uniformly, and supports the cluster mode to realize high availability.
The backend service of the microservice application employs SpringCloud. In the micro-service architecture of the platform, each service is a component which can be independently developed and operated, and communication is completed between the micro-services through a lightweight communication mechanism REST API or RPC. SpringCloud is used as a micro-service coordination and arrangement management framework, integrates and manages each single micro-service developed by SpringBoot, and provides integrated services such as configuration management, service discovery, circuit breakers, routing, micro-agents, event buses, global locks, decision election, distributed sessions and the like for each micro-service. Specific internal micro-services in the back-end service implementation platform include basic micro-services, business micro-services and product micro-services.
Service fusing of the micro-service application adopts Sentinel, the Sentinel mainly uses flow as an access point, and stability of the micro-service is ensured from multiple dimensions of flow control, fusing degradation, system self-adaptive protection and the like.
The service internal API interface call load balance of the micro-service application is realized by using OpenFeign.
The service monitoring of the micro service application employs Spring Boot Admin (SBA) for managing and monitoring the micro service SpringBoot application. The application program is registered in the SBA through a Spring Cloud service discovery mechanism, so that visual management of Spring Boot items is realized, cluster nodes can be monitored, and detailed health information, memory information, java virtual machine systems and environment attributes, garbage collection information, log setting and checking, timing task checking and Spring Boot cache checking and management functions are provided.
Heterogeneous services of the microservice application are implemented by a Sidecar intermediary service proxy. The heterogeneous service does not directly call the Nacos registry, but accesses the registry through the Sidecar proxy registration to obtain the functions of service registration, discovery and the like, and the Sidecar receives the request of the heterogeneous service and selects a target service instance through service discovery and load balancing to forward the request to the target service, so that heterogeneous registration communication is realized, and the problems of different system development languages and difficult access of the heterogeneous service are solved.
The log system is implemented by adopting a complete ELKF (elastic search+Logstar+Kibana+Filebeat) architecture in combination with an HDFS file system. FileBeat collects logs retrieved from frequent analysis during production, monitors specified log files or locations, collects log events, and forwards them to an elastic search or Log stack for visual indexing patterns to the operation and maintenance personnel. Historical logs and large log files in the Flume collection platform are stored in the HDFS file system, so that the mass log system can analyze and store the large logs. And cleaning and filtering the high-frequency retrieval log in the platform by adopting the Logstar. And analyzing the lightweight system log in the platform by adopting an elastiscearch, and realizing interface visualization by combining with Kibana. Logs such as internal micro-services, redis, mysql, nginx, systemlog and the like of the full life cycle information sensing platform of the instrument and meter products are collected into an elastic search through an ELKF system and are analyzed and stored; external services and production system logs, large log files, etc. are stored to the HDFS system.
The safety management of the instrument and meter product full life cycle information sensing platform based on the micro-service architecture mainly comprises micro-service data encryption, authority control and configuration encryption. The internal and external data transmission of the micro-service in the system is encrypted by AES, so that strong and real-time attacks are resisted. The combined encryption of https (symmetric encryption+RSA asymmetric encryption+CA mechanism authentication) is adopted for network data transmission, so that data hijacking is effectively prevented. The Spring Cloud Gateway gateway is used for controlling the rights among the micro services, and the security protection, IP blacklist and authentication functions are realized aiming at RESTful interface rights control. Jasypt encrypts the configuration of the micro-service, avoids plaintext information and enhances the configuration security.
Multisource data acquired by multisource heterogeneous data of an instrument and meter product full life cycle information sensing platform based on a micro-service architecture mainly originate from application systems PLM, CRM, MES, NC, ERP, SCM of different units, and the heterogeneous data mainly comprise structured data, semi-structured data and unstructured data in the application systems. Structured data acquisition in an instrument and meter product full life cycle information sensing platform based on a micro-service architecture provides two modes of a RestApi interface and a Kafka message queue, and semi-structured and unstructured data provides three modes of an FTP protocol, a Scp transmission protocol and a FastDFS communication protocol. The multi-source heterogeneous data storage adopts a database cluster mode, multi-source heterogeneous structured data collected by each application system are stored in a relational database cluster MySQL, unstructured data are stored in a file server cluster FastDFS, log data are stored in an ELKF log system, structured data of high-frequency search are stored in a search engine elastic search retrieval cluster, data persistence backup is carried out, and user operation cache data are stored in a cache database cluster Redis.
The principle of the data model of each stage is shown in fig. 2, the data model data of the full life cycle information sensing platform of the instrument and meter products based on the micro-service architecture is derived from a multi-source heterogeneous data acquisition module, and the full life cycle data model of the products of the instrument and meter production enterprises comprises a design stage, a purchasing stage, a production stage, a sales stage and an after-sales stage.
The data of the design stage in the whole life cycle of the product is collected in PLM application software of each enterprise. The design stage mainly comprises the steps of finishing the production design of the product by a technical department, providing a product design scheme for a platform, and feeding back material information by the platform according to a process route. The data model mainly comprises product information, product detailed information, process route, process detailed information, product bill of materials, process route change information and material change information.
The data of the purchasing stage in the whole life cycle of the product can be collected in ERP and SCM application software of each enterprise according to different application systems used by each enterprise. The purchasing stage is mainly that the purchasing department performs purchasing of product materials according to purchasing and production plans provided by the platform and performs feedback of the materials and the inventory. The purchasing stage data model mainly comprises contract information, contract change information, material purchasing plans, material arrival batches, material detection conclusions, material unqualified product control and supplier management data.
The data of the production stage in the whole life cycle of the product are collected in MES and NC application software of each enterprise. The production stage is mainly that enterprises make production plans according to orders and product process routes, collect production process data and carry out cost accounting. The production stage data model mainly comprises a production plan (production plan, production plan detailed information, production progress information, production process information, production procedure information and environment temperature and humidity information), a production process (product information, production process data information, product material binding information and manufacturing resource information), production result data information, product information and product cost.
The stage data of sales in the full life cycle of the product is collected in CRM application software of each enterprise. The CRM application system provides clients and sales information for the product full life cycle information perception platform, and the platform makes sales strategies, marketing and solutions according to the data. The sales stage data model mainly comprises material information, finished product information, factory supply batch information, factory inspection information and customer management information.
After-market stage data for the full life cycle of the product is collected in CRM applications for each enterprise. The after-sales stage mainly includes product maintenance, service, and repair information management activities. The related design, production and manufacturing departments receive and process the product running state and customer service information generated in the service stage, and the platform forms a corresponding solution and feeds the solution back to the service departments and customers. The after-sales stage data model mainly comprises product maintenance information, product maintenance information details, customer service information and after-sales personnel information.
What is not described in detail in this specification is prior art known to those skilled in the art.
Claims (6)
1. The instrument and meter product full life cycle information sensing platform based on the micro-service architecture is characterized by comprising a front-end interface, a micro-service application, a log system, safety management, multi-source heterogeneous data acquisition and storage and a product full life cycle data model;
the front-end interface is used for providing user operation and data information display functions, and the front-end adopts Vue+Nodejs+element+ES 6 as an independent front-end frame by calling the back-end through an API;
the micro-service application comprises a gateway cluster, a configuration center, a registration center, a back-end service, service fusing, load balancing, service monitoring and heterogeneous service;
the log system is realized by adopting a complete ELKF architecture and combining with an HDFS file system;
the security management comprises micro-service data encryption, authority control and configuration encryption;
the multi-source heterogeneous data collection and storage originates from application systems PLM, CRM, MES, NC, ERP, SCM of different units;
the product full life cycle data model is derived from a multi-source heterogeneous data acquisition module, and comprises a design stage, a purchasing stage, a production stage, a sales stage and an after-sales stage.
2. The full life cycle information sensing platform of an instrument and meter product based on a micro-service architecture as claimed in claim 1, wherein the independent front end framework specifically comprises: vue-router in Vue is used for front-end rights management; nodejs is used for compiling and developing environment of the front end, wherein an Axios plug-in is used for sending an HTTP library of an ajax request; the Elementui is used for rendering the front-end page effect; the ES6 is used for optimizing JavaScript language, writing complex large-scale application programs, and supporting arrow operators, class operations, character templates and grammar performance optimization.
3. The full life cycle information sensing platform of an instrument and meter product based on a micro-service architecture as claimed in claim 1, wherein a gateway cluster of the micro-service application adopts Spring Cloud Gateway to provide customized APIs for each client of a front-end interface;
the configuration center/registration center of the micro service application adopts Nacos to provide service registration, discovery and configuration management functions;
the back-end service of the micro service application adopts SpringCloud;
service fusing of the micro service application adopts Sentinel;
the call load balancing of the internal API of the micro-service application is realized by using OpenFeign;
the service monitoring of the micro service application adopts Spring Boot Admin for managing and monitoring the micro service SpringBoot application program;
the heterogeneous services of the micro-service application are implemented by a Sidecar intermediate service agent.
4. The full life cycle information sensing platform of the instrument and meter products based on the micro-service architecture of claim 1, wherein,
the FileBeat collects frequently analyzed and retrieved logs in the production process, monitors specified log files or positions, collects log events, and forwards the log events to an elastic search or Logstar for visual indexing mode to be provided for operation and maintenance personnel;
historical logs and large log files in the Flume collection platform are stored in the HDFS file system, so that the mass log system can analyze and store the large logs conveniently;
cleaning and filtering the high-frequency retrieval log in the platform by adopting the Logstar;
analyzing a lightweight system log in a platform by adopting an elastic search, and realizing interface visualization by combining Kibana;
and the internal logs of the whole life cycle information sensing platform of the instrument and meter products are collected into an elastic search through an ELKF system and are analyzed and stored.
5. The full life cycle information sensing platform of instrument and meter products based on micro-service architecture as claimed in claim 1, wherein the micro-service internal and external data transmission in the platform is encrypted by AES; the method comprises the steps of adopting https combined encryption, symmetric encryption, RSA asymmetric encryption and CA mechanism authentication for network data transmission; the Spring Cloud Gateway gateway is used for controlling the rights among the micro services, and aiming at the RESTful interface rights control, the functions of safety protection, IP blacklist and authentication are realized; jasypt encrypts the configuration of the microservice.
6. The full life cycle information sensing platform of the instrument and meter product based on the micro-service architecture according to claim 1, wherein structured data acquisition in the full life cycle information sensing platform of the instrument and meter product based on the micro-service architecture provides two modes of a RestApi interface and a Kafka message queue, and semi-structured and unstructured data provides three modes of an FTP protocol, a Scp transmission protocol and a FastDFS communication protocol; the multi-source heterogeneous data storage adopts a database cluster mode, multi-source heterogeneous structured data collected by each application system are stored in a relational database cluster MySQL, unstructured data are stored in a file server cluster FastDFS, log data are stored in an ELKF log system, structured data of high-frequency search are stored in a search engine elastic search retrieval cluster, data persistence backup is carried out, and user operation cache data are stored in a cache database cluster Redis.
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| CN117278640A (en) * | 2023-09-05 | 2023-12-22 | 北京长河数智科技有限责任公司 | API (application program interface) calling method and system based on data aggregation |
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| CN117278640A (en) * | 2023-09-05 | 2023-12-22 | 北京长河数智科技有限责任公司 | API (application program interface) calling method and system based on data aggregation |
| CN117278640B (en) * | 2023-09-05 | 2024-05-17 | 北京长河数智科技有限责任公司 | API (application program interface) calling method and system based on data aggregation |
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