In today's rapidly changing business environment, enterprises need more flexible and efficient development tools to quickly respond to market demands. Low-code platforms, due to their fast development speed, low barrier to entry, and ease of maintenance, have gradually become the preferred choice for many enterprises. However, as requirements become increasingly complex, how to achieve both flexible configuration and efficient system operation on low-code platforms has become a pressing challenge for developers.
Modular design, as a method of breaking down a system into independent, reusable components, enables flexible combination of functions in low-code platforms and maximizes system performance. This article will explore how modular design allows low-code platforms to adapt quickly to changes while maintaining efficient and stable operation. We will introduce the basic principles, specific implementation methods, and performance optimization strategies of modular design using practical examples, helping developers better leverage the potential of low-code platforms in practice.
Basic concepts of modular design
Modular design is a design methodology that decomposes a system or application into several independent functional modules. These modules can be viewed as "building blocks" in the system, each independently undertaking a specific function or task and interacting with other modules through well-defined interfaces. The core idea of modular design is to break down complex system architectures into smaller, more manageable and maintainable units, thereby improving development efficiency and system flexibility.
1. Core principles of modular design
Single Responsibility Principle: Each module should be responsible for only one function or task. This ensures the independence and focus of the module, and facilitates debugging, testing and reuse.
Module independence: Dependencies between modules should be minimized to ensure that changes to one module do not affect the functionality of other modules. This independence improves the system's flexibility and maintainability.
Reusability: Modular design encourages the development of reusable components. By encapsulating frequently used functions into modules, these modules can be reused in different projects, reducing the amount of redundant development work.
High cohesion and low coupling: Modules should maintain high cohesion, meaning that internal elements are closely related, while modules should maintain low coupling, meaning that dependencies are loose. This design makes the system more flexible and efficient in terms of expansion and maintenance.
Advantages of modular design
Flexibility: Modular design allows developers to flexibly combine and configure different modules according to needs, quickly responding to business changes. This way, when requirements change, only the relevant modules need to be adjusted, without having to redesign the entire system.
Maintainability: Because the modules are independent, developers can modify or replace a single module without affecting the entire system. This greatly simplifies system maintenance and upgrades.
Scalability: Modular design makes system expansion easier. New features can be implemented by adding new modules without requiring large-scale modifications to the existing system.
Improve development efficiency: By reusing existing modules, development teams can reduce repetitive work and focus on developing new features, thereby improving overall development efficiency.
The significance of modular design in low-code platforms
Modular design is particularly important in low-code platforms. Low-code platforms emphasize rapid development and flexible response to changing requirements, and modular design is an effective way to achieve this goal. By breaking down system functions into independent modules, developers can quickly build applications that meet specific needs, much like building blocks, through drag-and-drop operations. This approach not only improves development speed but also ensures system stability and maintainability, providing enterprises with a flexible and efficient development environment.
By understanding and applying the basic concepts of modular design, developers can better leverage the advantages of low-code platforms to achieve flexible configuration and efficient operation of complex systems.
I. Embedded Development: The Infrastructure of the Intelligent Era
Embedded systems are dedicated computer systems that integrate computing, control, and communication functions onto a single chip, and are widely used in industrial control, automotive electronics, medical devices, and other scenarios. For example, the joint control algorithm of Tesla's Optimus robot needs to complete multi-sensor data fusion within 2ms. Its embedded software stack integrates the ROS 2 real-time communication framework and a customized Linux kernel, highlighting the crucial role of embedded technology in high-end intelligent devices. The global embedded market is projected to exceed $300 billion by 2025, with automotive electronics, industrial automation, and medical devices being the fastest-growing sectors, with compound annual growth rates of 9.2%, 8.7%, and 6.5%, respectively.
II. Microcontroller Development: Full-Stack Technology from Hardware to Software
1. Hardware Design and Implementation
Microcontroller development involves the entire process, including schematic design, PCB fabrication, and component selection. Taking the STM32 series as an example, its Nucleo development board integrates the ST-LINK/V2-1 debugger, supports Arduino interface expansion, and can quickly build prototype systems. Hardware design must also consider energy efficiency; for instance, Renesas RX series MCUs achieve a standby power consumption of 0.1μA through clock gating technology, meeting the long-term operating requirements of IoT devices.
2. Software Development and Debugging
The development language is primarily C/C++, combined with real-time operating systems (RTOS) such as FreeRTOS and RTX to implement task scheduling. The development process includes requirements analysis, architecture design, code writing, and debugging. For example, in industrial control scenarios, the Siemens S7-1500 PLC uses the Profinet IRT protocol to achieve 1μs-level clock synchronization, and its embedded firmware integrates the TSN (Time-Sensitive Network) scheduling algorithm to ensure system real-time performance.
3. Integration of cutting-edge technologies
AI Embeddedization: Through model compression (such as ResNet-50 with a 30% pruning rate) and dynamic quantization technology, AI algorithms can run on MCUs such as STM32 with power consumption as low as milliwatts. Frameworks such as TensorFlow Lite Micro provide end-to-end support from training to deployment, lowering the development threshold. Edge Computing: Combining 5G URLLC (0.5ms latency) and FPGA dynamic reconfiguration technology, embedded devices can complete data processing locally. For example, Xilinx Zynq UltraScale+ supports switching image processing IP cores within 50ms, suitable for intelligent security and autonomous driving. III. Application Areas: An Intelligent Revolution from Industry to Daily Life
1. Industrial Automation
ABB YuMi collaborative robots achieve closed-loop path planning and force control through ROS-Industrial middleware, with a control cycle of <2ms, significantly improving production efficiency. The embedded system can also monitor the production line status in real time and reduce equipment downtime by combining predictive maintenance algorithms.
2. Smart Home
Intelligent lighting systems use sensors and microcontrollers to adjust brightness and control timing, while intelligent security devices (such as cameras and door sensors) rely on embedded systems for real-time monitoring and alarm activation. For example, STM32-based smart door locks support fingerprint recognition, Bluetooth communication, and remote control, becoming entry-level devices for IoT-enabled homes.
3. Healthcare
Medtronic insulin pumps adopt the MISRA-C coding standard, are FDA Class III certified, and have a failure rate of <0.001%, ensuring high reliability of medical devices. Wearable devices such as smart bracelets use embedded AI algorithms to monitor heart rate and analyze health trends, driving the development of telemedicine.
This article aims to share some thoughts and experiences on the overall framework design of microcontroller programs. So, why are we discussing architecture? The goal of microcontroller system developers is to create firmware that achieves low cost, high reliability, and rapid iteration. The best practice for achieving this goal is to adopt a unified firmware architecture, which acts as a framework during development and supports "firmware modularization."
Without a unified design architecture, the coupling between business requirements becomes complex, and the lack of a design-then-development methodology leads to difficulties in later maintenance, increases the risk of introducing potential bugs, and hinders collaborative development among multiple developers. However, by combining a design architecture that emphasizes firmware modularity, testability, and compatibility, we can apply it to any firmware development project, thereby maximizing code reusability, accelerating firmware debugging, and improving firmware portability.
So, what is modular architecture design? Simply put, it is to break down program functionality into firmware modules or subsystems, with each module performing a specific function and containing all the source code and variables needed to complete that function.
Modularization/subsystemization plays a crucial role in coordinating parallel teamwork, managing dependencies between project components, and enabling designers and system integrators to reliably assemble complex systems. It not only helps designers cope with and manage complexity but also allows for the rational division of applications into separate parts, such as "components," "modules," or "subsystems," as their size and functionality grow. Each such part becomes an organic element of the modular architecture, with clear interfaces enabling isolation and access to each component. Furthermore, modular programming not only improves firmware readability but also simplifies debugging, testing, and maintenance processes.
Even when developing a project independently, adhering to this modular strategy remains crucial. Good code design not only improves readability and portability but also allows for easy reuse in other projects. Furthermore, modules that have been tested and validated will have significantly reduced defects when applied in new projects.
Therefore, as we accumulate project experience, the number and quality of our "module" components will increase. In contrast, without a modular strategy, each project may have to start from scratch, resulting in long development cycles, difficulty in improving development skills, and tedious repetitive work. For example, a well-designed non-volatile storage management subsystem can serve as a reliable and portable "module," providing strong support for subsequent projects.
Code for implementing specific pure software algorithms, such as alg_filter.c, focuses on performing software filtering functions, such as median, mean, or weighted mean filters, and IIR/FIR filtering. Similarly, application-specific code, such as app_battery.c, focuses on implementing the battery charger application. Furthermore, tool-specific code, such as debug_print.c, focuses on implementing log printing functionality.
When implementing modular design, several key rules must be followed. First, all functionality related to a module should be integrated into a single source file to achieve high cohesion. Second, each module should provide a header file that declares all resources for that module, such as hardware dependencies, macros, constants, variables, and functions. Furthermore, closely related variables should be encapsulated using structs whenever possible.
Each source file should include self-test code to implement all self-testing functions for that module. Simultaneously, the firmware module's interface needs careful design and definition to ensure loose coupling between modules. Since firmware is closely related to hardware, hardware dependencies must be explicitly mentioned in the source file header, such as using macros to escape hardware dependencies or encapsulating basic operations using functions. This way, in a new architecture, only the relevant implementations need to be ported for reuse.
Firmware modules are typically reused by other team members in other projects. This may involve managing changes and fixing bugs. Therefore, the module owner should be responsible for maintaining the module and including "author" and "version" information in the source file header to track changes. Furthermore, firmware is also dependent on the compiler to some extent. Therefore, the source file header should declare which development environment it was validated in, specifying the compiler used or IDE-related information.
It's worth noting that modular design introduces some overhead and may increase firmware size. Therefore, a trade-off must be struck during implementation. To avoid over-modularization, a high-cohesion, low-coupling implementation strategy is recommended. When splitting modules, ensure that each module focuses on handling a specific type of problem and implementing related functionalities.
In engineering development, a demand-driven approach is indispensable. The primary task is to deeply understand the requirements and design a reasonable framework based on that understanding. To clearly demonstrate our goals, I have adopted an intuitive graphical approach to outline the overall design strategy.
In engineering development, the primary task is to deeply understand the requirements and design a reasonable framework based on this. To clearly present our goals, I adopted an intuitive graphical approach to outline the overall design strategy. Next, we need to clarify the core functions of the project and their sources. This may stem from actual market demands or creative ideas from our own DIY projects. Regardless of the origin of the requirements, they must be carefully analyzed first.
So, what aspects do these requirements typically include? First, there are hardware I/O interface requirements, such as digital inputs, ADC sampling, and I2C/SPI communication. Second, there are business logic requirements, such as highly cohesive tasks like acquiring sensor data or controlling heating devices. Furthermore, there are algorithm-related technical requirements, such as signal filtering or frequency domain analysis. Additionally, it's necessary to consider whether there are requirements for external communication protocols, historical storage of business data, and power-off parameter retention for devices.
Based on firmware module principles and related guidelines, we abstract highly relevant requirements into a series of modules. These modules then work together to implement a highly relevant business requirement, thus forming a subsystem. Under the scheduling of main.c, multiple subsystems coordinate their work to jointly complete the overall functionality of the product.
