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Based on the "basic platform + application platform" framework, the ASIDE product independently developed by Aiweixun has built a "full life cycle smart R & D and smart management integration" based on the requirements of smart R & D and smart management scenarios and facing the technological development trend of smart manufacturing platform".
▶ Multi-level R & D and management integration platform
As the development of highly complex and high-security products, such as aircraft avionics systems, the development process follows the typical "V" model, namely:
The above "V" model is essentially a combination of "system life cycle" and "software life cycle", and its meaning is:
Through ASIDE.PLM and ASIDE.ALM to realize the process drive in the system life cycle and the software life cycle, and through the service bus and data bus in the ASIDE basic platform, the process interaction between PLM and ALM is realized, such as system requirements Transfer to software, change control process across systems and software, etc.
▶ Model-based system engineering and software engineering
As engineering systems in safety-critical areas become more and more complex, and support requirements for basic industries, technical methods, and resources are becoming higher and higher, traditional system engineering becomes increasingly difficult to deal with. At the same time, information technology represented by modeling is also developing rapidly, and model-based system engineering (MBSE) has emerged.
Based on the current status of China's military industrial research institutes, when Aiweixun proposed a smart R & D and management integrated platform construction plan, it believed that "model-based" has the following two meanings:
开发方法上，采用UML/SysML等语言描述系统、软件模型，并基于模型开展仿真、验证、代码生成等一系列活动； ★ In terms of development methods, UML / SysML and other languages are used to describe the system and software models, and a series of activities such as simulation, verification, and code generation are carried out based on the models;
数据上，从“文档化”到“模型化”： ★ Data, from "documentation" to "modeling":
-All engineering data (such as requirements, design, code, use cases) are developed and stored in an itemized form;
-All management data exists in the platform in a structured form, and a large amount of management record data is automatically generated, automatically maintained, intelligently analyzed, and automatically created management analysis reports accompanying the development of engineering activities;
-All data is generated and stored in a model, completely abandoning the traditional manual work of writing a large number of documents.
| All data of engineering data (such as requirements, design, code, use cases) are meta-data, and online development, storage, automatic two-way tracking, and automatic analysis of potential change impact domains in the form of data elements ... |
| The management data (such as project weekly report, measurement data, quality report) are all structured, and the structured data can be automatically collected online, intelligently analyzed, and various management reports are automatically established ... |
Seamless integration with mainstream modeling tools, such as Rhapsody, Simulink, Scade, etc.
| Automatically establish a tracking relationship between itemized data elements and model data |
| All-in-one platform controls model data version and change |
▶ Data-driven component design, modular design
At present, China's military research institutes are exploring and practicing the serialization and reuse technology of products, especially from code-level reuse to module-level reuse. In this context, the intelligent R & D integrated platform must support component design and modular design concepts driven by R & D data.
The process system is becoming more and more complex, and the support requirements for basic industries, technical methods, resources, etc. are becoming higher and higher, making it more difficult for traditional system engineering to cope. At the same time, information technology represented by modeling is also developing rapidly, and model-based system engineering (MBSE) has emerged.
The integrated platform has a built-in knowledge engine. When developing specific engineering data, users can retrieve relevant engineering knowledge and related data in the knowledge base at any time through the knowledge engine, and can reuse the search results to the data being developed to realize knowledge-based Quick design.
▶ Cloud-based wide area collaborative R & DThe development of highly complex equipment involves a large number of stakeholders, such as users, suppliers, sub-suppliers, equipment manufacturing units, and customer service units. The intelligent R & D integrated platform should provide cloud-based wide-area collaboration capabilities, integrate all stakeholders involved in the development of complex systems into a unified platform, and initiate collaborative R & D and collaborative management of activities, data, personnel, and roles according to actual business needs .
Aiweixun intelligent R & D and intelligent management integrated platform achieves the above requirements through a series of designs:
采用B/S架构，所有功能均可通过浏览器访问，使得广域网内所有利益相关方均可访问平台； ★ B / S architecture is adopted, all functions can be accessed through the browser, so that all stakeholders in the WAN can access the platform;基于平台内置的核心引擎、数据配置器、流程配置器，可为所有利益相关方按其业务需求提供个性化功能配置，使得各个利益相关方可以充分的访问所有必须功能，又仅能访问允许其访问的功能； ★ Based on the built-in core engine, data configurator and process configurator of the platform, it can provide personalized function configuration for all stakeholders according to their business needs, so that each stakeholder can fully access all necessary functions, and only access permission The function of its access;
提供各种专用的应用平台，满足特定利益相关方的各类个性化业务需求，如： ★ Provide a variety of dedicated application platforms to meet various personalized business needs of specific stakeholders, such as:
Model-level software configuration management platform:
Suppliers can submit all the software versions they develop to the platform. The main design unit can receive the versions and manage all design baselines. It can also manage its installed software versions to implement full-cycle configuration management from development to operation.
External quality management system:
It can be used by the main design unit to conduct a quality review of the supplier's software and hardware design process, and the hardware and software suppliers can submit their design status and design data in the platform. Confirm the result of automatic proof.
▶ Closed-loop R & D based on Internet of Things and big dataThanks to the continuous development of data collection, storage, and transmission technology, and the continuous reduction of costs, the Internet of Things and big data technology can be applied to the closed-loop operation and R & D of complex equipment.
In the integrated platform of Aiweixun's intelligent research and development and intelligent management, the knowledge base has a dedicated operation data interface, which can automatically receive the operation data received on the network, and structure it according to customer needs, and store it in knowledge. At the same time, it provides the function of manually accessing the operating data knowledge base, which can manually add data in the operating data that significantly affects the design of future models to the knowledge base. These significant data include runtime failures and defects, operating constraints, etc.