Multi-peripheral mirror image burning system

Abstract

The invention discloses a multi-peripheral mirror image burning system. The multi-peripheral mirror image burning system comprises a main computer, a network switch and a multi-path burning complete machine, the multi-path burning complete machine is integrated with a plurality of single-board computers serving as burning hosts, a power supply module for uniformly supplying power to the hosts and a heat dissipation device for heat dissipation. Each single-board computer is provided with a USB interface and a network interface, the network interface is connected with the main computer through the network switch, and the USB interface is used for being connected with a peripheral module to be burnt. The host computer runs a customized management program, can remotely control all the single-board computers, and burns system mirror images to a plurality of peripheral modules in parallel. Through highly integrated hardware architecture and centralized software management, multi-device synchronous burning is realized, the burning efficiency is greatly improved, and the method has the advantages of high integration level, high efficiency and economical efficiency, and is particularly suitable for batch production of embedded modules.

Description

Technical Field

[0001] This invention relates to the field of embedded system development and manufacturing technology, and in particular to a multi-peripheral image burning system, especially a system for batch burning system images of embedded core boards or modules. Specifically, this invention belongs to the interdisciplinary field of computer hardware and embedded systems, and relates to multi-host parallel control, distributed computing, industrial automation production equipment, and embedded software deployment methods. This system is particularly suitable for industrial scenarios requiring large-scale, high-efficiency burning of operating system or firmware images, such as IoT device manufacturing, smart hardware production lines, and batch programming of embedded controllers. Background Technology

[0002] The Raspberry Pi Compute Module 4 (CM4) is an embedded core board developed by the Raspberry Pi Foundation for industrial and commercial applications. Physically, it integrates core components such as a CPU, LPDDR4 memory, eMMC flash storage, and a wireless module. It also provides access to various high-speed and general-purpose interfaces, including PCIe, Gigabit Ethernet, CSI camera, DSI display interface, HDMI 2.0, USB 2.0, and GPIO, via two high-speed connectors. Due to its powerful performance and rich interface capabilities, the CM4 is widely used in various embedded products such as IoT gateways, industrial controllers, smart display devices, and network equipment.

[0003] During the production or development of the CM4, its eMMC flash memory (as the primary storage medium) needs to be pre-programmed with the corresponding Linux software system or other customized operating system. The core principle of programming the CM4 is to put it into a special "USB mass storage device" mode (similar to the flashing mode of a mobile phone). In this mode, the CM4's eMMC storage space can be recognized by another computer (usually called the "host") as a regular mass storage device (such as a USB flash drive) through its onboard USB 2.0 interface. Then, the host can use a dedicated programming tool (such as the dd command, rpi-imager, or other image writing software) to write the pre-compiled system image file to this recognized "USB flash drive," thereby completing the system installation.

[0004] Currently, the most common programming solution is to use a standalone computer as the host. This host can be a personal computer running a Windows operating system or another Raspberry Pi 4B microcomputer. Using a Windows computer for programming is an intuitive method, as users can operate it through a graphical interface. However, using a Raspberry Pi 4B microcomputer as the host has more significant advantages. First, the cost of a Raspberry Pi 4B is far lower than that of a complete Windows computer, making it extremely economical. Second, the Raspberry Pi 4B is small in size, which helps to build a compact programming environment. Furthermore, it natively runs a Linux operating system, which is naturally compatible with the CM4 programming environment, eliminating the hassle of installing specific drivers and cross-platform tools on a Windows system, making the deployment of the programming environment faster and more stable.

[0005] However, the existing flashing solutions described above have a significant drawback: inefficiency. Due to limitations in flashing tools and hardware interfaces, a single host (whether a Raspberry Pi 4B or a Windows PC) can typically only flash one CM4 module per unit of time. A complete Linux system image file is often very large, ranging from hundreds of MB to several GB, resulting in a lengthy flashing process that can take ten minutes or even longer. This inefficiency is acceptable during product development, testing, or small-batch production. However, when faced with the demands of large-scale production, this "one-to-one" serial flashing mode becomes a serious production bottleneck. It significantly extends the production cycle, increases time and labor costs, and fails to meet the demands of modern, efficient production.

[0006] Furthermore, the existing technology still has the following unresolved technical problems: First, there is a lack of a unified device management and task scheduling mechanism. When multiple programming hosts need to be managed simultaneously, operators must manually configure, start, and monitor each host one by one. This is not only inefficient but also prone to programming failures or data inconsistencies due to human error. Second, the existing solution lacks sufficient hardware integration. Multiple independent hosts mean more power cables, network cables, and peripheral connections, resulting in complex cabling, large space occupation, and difficult maintenance. Third, heat dissipation and power supply issues are particularly prominent in dense deployments. Multiple devices operating at high loads simultaneously generate a large amount of heat. Poor heat dissipation may lead to overheating, frequency reduction, or even damage to the devices, while unstable power supply may cause programming interruptions or data errors. Fourth, the existing solution lacks flexible task configuration and image management functions. In production environments, it is often necessary to program different system images for different batches of products or to mix and program multiple images in the same batch, and traditional methods are difficult to meet these requirements efficiently and accurately. Fifth, error handling and status monitoring capabilities are weak. During batch programming, if a device malfunctions (such as a faulty USB connection, a corrupted image, or insufficient storage space), operators often find it difficult to detect and locate the problem in a timely manner, leading to production delays and resource waste.

[0007] Therefore, there is an urgent need in this field for a solution that can significantly improve programming efficiency while maintaining low cost to address the challenges of mass programming Raspberry Pi computing modules and other similar embedded modules. Such a solution should possess characteristics such as high parallelism, intelligent management, high integration, stability and reliability, and flexible scalability, thereby truly meeting the needs of modern large-scale production. Summary of the Invention

[0008] To address the shortcomings of existing technologies, the purpose of this invention is to provide a multi-peripheral image burning system. The specific technical problem this invention aims to solve is: how to overcome the efficiency bottleneck that a single host can only serially burn a single peripheral module, and to provide a system that can burn multiple peripheral modules in parallel within a unit of time, thereby significantly improving burning efficiency, meeting the needs of mass production of products, while maintaining the system's low cost, high integration, and ease of management.

[0009] The above-mentioned objective of this invention is achieved through the following technical solutions: This invention provides a multi-peripheral image burning system, comprising: a host computer, a network switch, and a multi-channel burning machine; the host computer is connected to the network port of the network switch via a network cable; the multi-channel burning machine includes a chassis, at least one burning unit group integrated within the chassis, a power supply module for powering the burning unit group, and a heat dissipation device for cooling the burning unit group; the burning unit group includes multiple single-board computers arranged in parallel as burning hosts; each single-board computer is provided with at least one USB interface and one network interface; the network interfaces of all single-board computers are connected to the corresponding network port of the network switch via network cables; the USB interfaces of all single-board computers are used to connect peripheral modules to be burned; the host computer runs a management program for remotely managing each single-board computer through the network and the network switch, and controlling it to burn system images to the connected peripheral modules via the USB interface.

[0010] According to one embodiment of the present invention, the single-board computer is a Raspberry Pi 4B microcomputer; the peripheral module is a Raspberry Pi computing module 4.

[0011] According to one embodiment of the present invention, the programming unit group specifically comprises multiple single-board computers integrated on a single independent board; one or more of the single independent boards are installed in the chassis of the multi-channel programming machine.

[0012] According to one embodiment of the present invention, each of the independent boards integrates four of the single-board computers.

[0013] According to one embodiment of the present invention, the power supply module is an AC-to-DC power supply module, which converts external AC power into 12V DC power to provide unified power supply for multiple single-board computers on the independent board.

[0014] According to one embodiment of the present invention, the heat dissipation device includes a DC fan provided for each of the independent boards, the DC fan being installed at the rear or side of the independent board; the DC fan is driven by 12V DC power provided by the power module.

[0015] According to one embodiment of the present invention, each of the single-board computers is further provided with a status indicator device, the status indicator device including multiple LED indicator lights for displaying power, network activity and burning status.

[0016] According to one embodiment of the present invention, the management program running on the host computer is a customized graphical interface program, which has one of the following functions: remotely logging in and controlling each of the single-board computers via the SSH protocol; managing system image files stored in each of the single-board computers, including copying, replacing, or deleting; issuing instructions to designated single-board computers to run diskization tools and enter burning waiting mode; receiving information from the single-board computers regarding whether peripheral modules have been correctly identified; selecting a specific system image and triggering the designated single-board computer to perform the operation of burning the system image to the connected peripheral modules; monitoring and displaying the burning progress and results of each single-board computer; starting or controlling the image verification process; configuring batch burning tasks, including configuring the same system image to all single-board computers with one click or configuring different system images to different single-board computers respectively.

[0017] According to one embodiment of the present invention, the USB interface of the single-board computer is a USB 3.0 interface.

[0018] According to one embodiment of the present invention, the system is capable of simultaneously burning system images to peripheral modules connected to all available USB interfaces.

[0019] Furthermore, the management program also supports task queue management and priority scheduling. Users can set priorities for different burning tasks, and the management program automatically schedules the burning order according to the priorities, ensuring that important tasks are executed first. At the same time, the management program supports task queue functionality, allowing users to pre-configure multiple burning task sequences, which the system executes automatically according to the queue order without manual intervention, thereby achieving fully automated production.

[0020] Furthermore, the management program integrates logging and auditing functions. The system automatically records all programming operations, equipment status changes, error events, and operator activities, generating detailed log files. These logs can be used for production quality traceability, fault analysis, and efficiency optimization. The management program also supports log export and remote transmission for centralized management and long-term archiving.

[0021] Furthermore, the system supports dynamic resource allocation and load balancing. The management program monitors the CPU utilization, memory usage, network traffic, and storage I / O of each single-board computer in real time, and dynamically allocates programming tasks based on the current load. For example, when a single-board computer is under high load, new tasks can be automatically assigned to nodes with lower load, thereby avoiding single-point overload and improving the overall efficiency and stability of the system.

[0022] Furthermore, the chassis of the multi-channel programming unit adopts a modular design, supporting hot-swappable replacement of individual boards. The chassis interior features standard slots and backplane interfaces, allowing for the safe insertion or removal of individual boards without shutting down the power supply. This design greatly facilitates system maintenance and expansion; when a board fails, it can be quickly replaced, minimizing production downtime.

[0023] Furthermore, the power module features redundancy backup. The system can be configured with multiple power modules, and when the main power module fails, the backup power module automatically takes over power supply, ensuring uninterrupted programming. The power module also supports intelligent power management, dynamically adjusting the output power based on the number of currently connected devices and their operating status to improve energy efficiency and reduce heat generation.

[0024] Furthermore, the heat dissipation device also includes a temperature sensor and an intelligent temperature control system. The temperature sensor monitors the temperature inside the chassis and on each individual board in real time and feeds the data back to the management program. When the temperature exceeds a preset threshold, the management program automatically adjusts the fan speed or temporarily suspends some programming tasks to reduce heat generation, thereby ensuring that the system operates within a safe temperature range.

[0025] Furthermore, the status indicator supports LEDs with multiple colors and flashing modes to represent more complex status information. For example, a solid green light indicates the device is ready, a flashing blue light indicates programming in progress, a solid red light indicates an error, and a yellow light indicates waiting for user intervention. In addition, the status indicator can be remotely configured via a management program to adapt to different production environments and user habits.

[0026] Furthermore, the system supports multiple programming protocols and image formats. In addition to the standard dd command and USB mass storage mode, the management program can integrate other programming tools and protocols, such as Fastboot, UF2, and JTAG, to support more types of peripheral modules. Simultaneously, the system supports multiple image formats, such as IMG, ISO, BIN, and HEX, and has image compression and decompression functions to save storage space and transmission time.

[0027] Furthermore, the management program provides an application programming interface (API) and a software development kit (SDK) to allow third-party systems or automated production lines to integrate with this system. Through the API, external systems can remotely invoke the system's programming functions, query equipment status, upload image files, etc., thereby achieving a higher level of automation and information management.

[0028] Furthermore, the system features network boot (PXE) and remote installation capabilities. The single-board computer can boot and load the operating system from the host computer or a designated server via the network, eliminating the need for local storage of the system image and further simplifying deployment and update processes. This is particularly advantageous for large-scale production environments with frequent image changes.

[0029] In summary, compared with the prior art, the present invention has at least one of the following beneficial technical effects: High Efficiency: This invention achieves parallel and synchronous programming of multiple peripheral modules by highly integrating multiple programming hosts (single-board computers). It transforms the traditional "one-to-one" serial mode into a "many-to-many" parallel mode. Assuming the system integrates N programming hosts, the programming efficiency per unit time can theoretically be increased to N times that of a single-host solution. For example, a complete system integrating 12 Raspberry Pi 4Bs has a programming efficiency 12 times that of a single-host solution, reducing batch tasks that originally took several hours to complete to tens of minutes, greatly saving time and perfectly meeting the needs of mass production.

[0030] High Integration and Economy: This invention creatively employs a low-cost, small-size single-board computer (such as the Raspberry Pi 4B) as the core programming unit, and tightly integrates them through a carefully designed overall structure (such as multi-in-one independent boards, centralized power supply, and unified heat dissipation). This design allows the system to achieve high parallelism while maintaining an overall cost far lower than using the same number of traditional desktop or industrial computers. Its compact size also facilitates deployment and transportation in space-constrained environments such as production lines and laboratories. High integration also reduces the complexity of external wiring, lowering the difficulty of deployment and maintenance.

[0031] Intelligent Management and Flexibility: This invention achieves centralized and intelligent management of a distributed programming host cluster through a customized graphical interface program on the host computer. Users can complete all management tasks, including image distribution, task configuration, status monitoring, and result viewing, without having to operate each programming host individually. This simplifies operation and greatly improves user experience and management efficiency. The system supports flexible programming strategies, allowing for both uniform, one-size-fits-all programming and personalized, grouped programming, easily meeting complex and ever-changing production needs.

[0032] Stable and Reliable: This invention addresses the heat dissipation and power supply issues of multiple devices operating simultaneously. Built-in dedicated cooling devices (such as DC fans) effectively dissipate heat, ensuring the single-board computer remains stable under prolonged high-load operation. An independent power module provides a clean and stable power supply, preventing programming failures due to insufficient or fluctuating power. Status indicators facilitate rapid on-site diagnostics. These design features collectively guarantee the system's reliability in high-volume, continuous operation environments.

[0033] In addition, the present invention also has the following beneficial effects: Highly scalable: Both the hardware and software of the system adopt a modular design, allowing for flexible expansion of the programming scale according to production needs. Users can increase the number of parallel programming sessions by adding independent boards or replacing them with higher-density boards, without having to replace the entire system. On the software side, the management program supports dynamic node discovery and configuration; newly added single-board computers can be automatically recognized and managed by the system, greatly simplifying expansion operations.

[0034] Error Handling and Fault Tolerance: The system possesses a robust error detection and recovery mechanism. When a single-board computer or peripheral module malfunctions, the management program automatically identifies the error type (such as connection failure, programming timeout, verification error, etc.) and attempts automatic recovery (such as reconnecting or retrying programming). If automatic recovery fails, the system marks the node as faulty and notifies the operator to intervene, while continuing to execute tasks on other normal nodes, thereby preventing a single fault from affecting the overall production schedule.

[0035] Data security and integrity: The system employs multiple safeguards during the burning process to ensure data security. For example, checksums (such as MD5 and SHA-256) are used to verify data integrity when transferring image files; full disk or partition verification is performed before and after burning; and encrypted images and Secure Boot configuration are supported to prevent unauthorized access and malware injection.

[0036] Energy-saving and environmentally friendly: The system effectively reduces overall energy consumption through centralized power supply and intelligent power management. Compared with using multiple independent computers, the integrated solution of this invention can reduce power consumption by more than 30%. At the same time, the system's compact design reduces material usage, conforming to the concepts of green manufacturing and sustainable development.

[0037] User experience optimization: The management program's graphical interface employs intuitive drag-and-drop operations, real-time visual feedback, and one-click batch commands, greatly reducing the learning curve. The system also provides detailed operation guides, online help, and training modes to help new users get started quickly. For advanced users, the system supports scripting and command-line interfaces to meet personalized customization needs.

[0038] In summary, this invention effectively solves the core problem of low burning efficiency in the prior art, and provides a high-efficiency, economical, compact and easy-to-manage batch image burning solution, which has high practical value and promotion prospects in the field of embedded device production and development. Attached Figure Description

[0039] Figure 1 This is a block diagram of the overall structure of the present invention.

[0040] Figure 2 This is a schematic diagram of the structure of multiple programming unit groups (independent boards) inside the multi-channel programming device of the present invention. Detailed Implementation

[0041] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0042] In the description of this application, it should be noted that the terms "upper," "lower," "inner," "outer," "top / bottom," etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0043] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installed," "equipped with," "sleeved / connected," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Example

[0044] Reference Figure 1 and Figure 2This invention discloses a multi-peripheral image burning system, comprising: a host computer, a network switch, and a multi-channel burning machine; the host computer is connected to the network port of the network switch via a network cable; the multi-channel burning machine includes a chassis, at least one burning unit group integrated within the chassis, a power supply module for powering the burning unit group, and a heat dissipation device for cooling the burning unit group. The burning unit group includes multiple single-board computers arranged in parallel as burning hosts; each single-board computer is equipped with at least one USB interface and one network interface; the network interfaces of all single-board computers are connected to the corresponding network ports of the network switch via network cables; the USB interfaces of all single-board computers are used to connect peripheral modules to be burned; a management program runs on the host computer, used to remotely manage each single-board computer through the network and the network switch, and control it to burn the system image to the connected peripheral modules via the USB interface.

[0045] The main computer, acting as the system's control core, is connected to a network switch port via a network cable. The multi-channel programming unit is the system's execution entity, comprising a robust chassis. Inside this chassis, at least one programming unit group is integrated. This programming unit group consists of multiple parallel-configured single-board computers, which act as the actual programming hosts. To ensure the stable operation of these hosts, the unit also integrates a dedicated power supply module to provide stable and reliable DC power to all programming unit groups; and a heat dissipation device to effectively cool the highly integrated single-board computers, preventing performance degradation or damage due to overheating.

[0046] Each single-board computer is equipped with at least one USB port and one network port. All single-board computers' network ports are connected to other ports on a network switch via independent network cables, thus establishing a local area network communication channel between the host computer and all single-board computers. The USB ports on all single-board computers serve as programming ports, exposed externally to connect peripheral modules to be programmed (such as Raspberry Pi Compute Module 4).

[0047] A customized management program is installed and runs on the host computer. This program, through a network switch and established network connection, enables remote management, monitoring, and control of each single-board computer. Management functions include, but are not limited to: transferring system image files to the single-board computers, initiating the burning process, monitoring the burning status, and configuring burning tasks. Ultimately, through centralized control from the host computer, multiple single-board computers can simultaneously perform parallel burning of system images to their respective connected peripheral modules.

[0048] The single-board computer is a Raspberry Pi 4B microcomputer; the peripheral module is a Raspberry Pi Compute Module 4. The Raspberry Pi 4B is inexpensive, has abundant interfaces, and a mature software ecosystem, making it an ideal choice for implementing this solution.

[0049] Furthermore, to optimize structure and management, the programming unit group specifically comprises multiple single-board computers integrated on a single independent board; the chassis of the multi-channel programming machine houses one or more independent boards, thereby enabling flexible expansion of system scale. Each independent board integrates four single-board computers, achieving a good balance between structural compactness, heat dissipation efficiency, and cost control.

[0050] The power module is an AC-to-DC power module, which converts external AC power (such as 220V AC power) into 12V DC power to provide unified power to multiple single-board computers on the independent board.

[0051] The cooling system includes a DC fan for each individual board, mounted at the rear or side of the board to create an effective directional airflow for forced air cooling of the high-power-density single-board computer cluster. The DC fans are driven by 12V DC power supplied by the power module. Each single-board computer also has a status indicator, including multiple LEDs, to visually display the device's power status, network connection and activity status, and the current programming status (e.g., waiting, programming in progress, completed, error), facilitating on-site observation and maintenance.

[0052] The management program running on the host computer is a customized graphical interface program that has one of the following functions: remotely logging in and controlling each single-board computer via secure network protocols such as SSH.

[0053] It provides a graphical interface for centralized management of system image files stored on various single-board computers, such as uploading, copying, replacing, and deleting.

[0054] It can issue instructions to a specified single-board computer to run a specific "disk-letter tool" script or program, thereby entering a burning wait mode to prepare for recognizing peripheral modules.

[0055] It can receive information from the single-board computer, such as whether the connected peripheral module (eMMC storage device of CM4) has been successfully identified, and display this information clearly on the graphical interface.

[0056] Users can select a specific system image file to be burned for each burning port through a graphical interface.

[0057] In response to user actions, the system triggers the specified single-board computer to begin the image burning operation and displays the burning progress in real time on the main interface.

[0058] After the burning process is complete, the image verification process can be started automatically or manually to ensure the integrity and correctness of the burned data.

[0059] It provides a batch task configuration function, which allows users to easily assign the same system image to all online burning ports with one click, or flexibly assign different system images to different ports to adapt to diverse production needs.

[0060] Furthermore, the USB interface of the single-board computer is preferably a USB 3.0 interface. Although the CM4 itself operates in USB 2.0 mode, using the host's USB 3.0 interface can provide better electrical performance and future compatibility.

[0061] The core of this invention lies in the fact that the system can utilize its hardware architecture and software control to simultaneously burn system images to peripheral modules connected to all available USB interfaces, thus achieving true parallel processing.

[0062] See Figure 1 This illustrates the overall architecture of a multi-peripheral image burning system according to a preferred embodiment of the present invention. The system mainly comprises three components: a host computer, a network switch, and a multi-channel burning unit.

[0063] The host computer can be a general-purpose desktop computer, laptop, or server, serving as the control center for the entire system. It runs a custom graphical user interface (GUI) management program, which is the primary interface for user interaction with the system. The host computer is connected to an available port on a network switch via a standard network cable (such as Cat 5e or Cat 6).

[0064] A network switch is a standard multi-port network switching device, such as an 8-port, 16-port, or 24-port Gigabit Ethernet switch. Its function is to expand network interfaces, build a local area network (LAN), and enable the host computer to communicate with multiple programming nodes within a multi-channel programming system.

[0065] The multi-channel programming unit is the core component of this system. It is an integrated hardware device containing a robust metal or high-strength plastic chassis (not shown separately in the diagram). Inside the chassis, multiple functional modules are integrated.

[0066] See also Figure 1 and combined Figure 2 The multi-channel programming device integrates three independent boards (i.e., programming unit groups). Each independent board densely and neatly integrates four single-board computers serving as programming hosts. In this embodiment, the single-board computers are preferably Raspberry Pi 4B microcomputers. The Raspberry Pi 4B has advantages such as sufficient performance, low power consumption, economical cost, and excellent community support. Each Raspberry Pi 4B (single-board computer) has its key interfaces brought out to the edge of the board for easy connection. USB Interface: Each Raspberry Pi 4B has at least one USB interface, preferably a blue USB 3.0 interface, for connecting the peripheral module to be programmed. In this embodiment, the peripheral module is the Raspberry Pi Computing Module 4 (CM4). A dedicated USB cable is required to connect the USB interface of the CM4 to the USB interface of the Raspberry Pi 4B.

[0067] Network Interface: The Gigabit Ethernet port on each Raspberry Pi 4B is used as the network interface. Twelve network cables (four Raspberry Pis / board * 3 boards) are routed from each individual board to one of the twelve downstream ports of the network switch. This allows the host computer to communicate with the twelve Raspberry Pi 4Bs via the switch.

[0068] Status indicators: Each Raspberry Pi 4B comes with multiple LED indicators (such as power indicator and status indicator). In addition, custom indicator lights (such as programming status indicator and error alarm indicator) can be added on independent boards to form a status indicator, which makes it easy to observe the working status of each host.

[0069] To ensure stable operation of the entire device, the multi-channel programming unit also integrates: Power Modules: This embodiment includes three AC-to-DC (AC / DC) power modules. Each power module supplies power to four Raspberry Pi 4B units on a separate board. The power module input is 220V AC mains power, and the output is a stable 12V DC power. The power modules have sufficient power output capability to ensure stable power supply even when all devices are operating at full load simultaneously.

[0070] Heat dissipation device: In this embodiment, the heat dissipation device specifically consists of three DC fans. Each DC fan corresponds to an independent board and is installed at its rear, forming a heat dissipation channel from front to back or from bottom to top. When the system is working, the fans run continuously, quickly expelling the heat generated by the single-board computer from the chassis to prevent the internal temperature from becoming too high. The DC fans are also driven by 12V DC power supplied by the corresponding power module.

[0071] Now, let's describe the system's workflow: Step S10: System initialization and connection establishment.

[0072] The operator first powers on the system. The main computer, network switch, and multi-channel programming unit begin booting. After the main computer boots, it runs a customized graphical interface management program. The management program automatically scans the network and attempts to establish connections via SSH (Secure Shell protocol) with all Raspberry Pi 4B (single-board computers) within the preset IP address range. Once a connection is successful, the management program's interface displays all online programming nodes (i.e., Raspberry Pi 4Bs) in a list or graphical format, showing their basic status (e.g., online, offline).

[0073] Step S20: Image file management.

[0074] Operators can easily manage the system image files distributed across the various Raspberry Pi 4Bs using the management program on the host computer. For example, an operator can upload a new system image file (such as custom_os.img) from the host computer to the management program, and then distribute or copy the image file to a specified storage directory on all 12 Raspberry Pi 4Bs via drag-and-drop or menu operations. Old images on specific nodes can also be replaced or deleted. This process is centralized and requires no manual operation on each individual Raspberry Pi 4B.

[0075] Step S30: Enter the burning waiting mode.

[0076] Before starting the flashing process, the operator needs to select the Raspberry Pi 4B nodes to be flashed (single, multiple, or all selections are possible) on the management program interface, and then click "Enter Flashing Mode" or a similar button. The management program will then send commands to the selected Raspberry Pi 4Bs via SSH to execute a pre-built "disk lettering tool" script. This script prepares the system environment, putting the Raspberry Pi 4Bs into a state where they are ready to recognize subsequently connected CM4 devices. At this time, the corresponding status indicator light on the Raspberry Pi 4B may change, indicating that it is ready.

[0077] Step S40: Connect the peripheral module to be programmed.

[0078] The operator connects the Raspberry Pi Compute Module 4 (CM4) to be programmed to the corresponding numbered USB port on the front panel of the multi-channel programming device via a USB data cable. Once the CM4 is correctly connected and powered on (power may be supplied via the USB port or externally), it will automatically enter "USB Mass Storage Device" mode.

[0079] Step S50: Automatically identify peripheral modules.

[0080] While in burn-in wait mode, the Raspberry Pi 4B continuously monitors its USB ports. Once a new storage device (i.e., the CM4's eMMC) is detected, it immediately identifies the device and assigns it a device identifier (e.g., / dev / sda) in the operating system. Simultaneously, the Raspberry Pi 4B sends a feedback message over the network to the host computer's hypervisor, reporting "Port X has successfully detected the device to be burned." On the hypervisor interface, the status of the corresponding node will update, for example, changing from a "Waiting" icon to a "Device Ready" icon.

[0081] Step S60: Select the image and start burning.

[0082] On the management interface, the operator can see which ports are connected to the device. Then, for each ready port, they can select the specific system image file to be burned from the image list stored on the corresponding Raspberry Pi 4B. For example, image A can be selected for ports 1-6, and image B for ports 7-12. After configuration, the operator can click the "Start Burning" button. The management program then sends burning commands to each Raspberry Pi 4B via SSH (for example, executing the command `dd if= / path / to / image.img of= / dev / sda bs=4M status=progress` on a Linux system). The burning process begins.

[0083] Step S70: Monitor the burning process and complete the processing.

[0084] The management program receives real-time progress information from each Raspberry Pi 4B (e.g., by parsing the output of the dd command) and dynamically displays it on the interface as a progress bar, percentage, or log. Operators can easily monitor the status of all parallel programming tasks. When a programming task on a particular port is completed, the management program receives a completion notification and displays a prominent message on the interface, such as changing the status to "Programming Complete".

[0085] Step S80: Mirror verification.

[0086] To ensure the accuracy of data writing, after the flashing process is complete, the management program can automatically or manually trigger an image verification process. This process typically reads the data just flashed into the CM4 and compares it with the original image file's hash value (e.g., calculating the SHA256 checksum). If the verification passes, the interface displays "Verification successful"; if it fails, it displays "Verification failed," and re-flashing may be necessary.

[0087] Step S90: Replace the peripheral module.

[0088] After successful programming and verification, the operator can remove the CM4 with the programmed system from the USB interface and replace it with a new CM4 to be programmed. The system will automatically repeat steps S40 to S80 to achieve continuous mass production.

[0089] Step S100: Batch task configuration (optional advanced features).

[0090] For large-scale production, the management program offers a one-click batch configuration function. Operators can pre-set a task plan: for example, "set all 12 ports to burn image A". With just one click, the system will automatically complete all image distribution, mode switching, and automatic burning triggering after device detection, simplifying the operation to the greatest extent.

[0091] The system of this invention achieves efficient parallelization, centralized management, and automated operation of image burning of multiple peripheral modules.

[0092] Furthermore, this system supports advanced error handling mechanisms. For example, if a single-board computer becomes unresponsive or times out during the programming process, the management program will automatically attempt to reconnect or restart the node. If multiple retries fail, the system will mark the node as faulty and automatically reassign the unfinished programming task to other idle nodes, thereby ensuring the overall completion of the production task. Simultaneously, the management program will generate an error report, detailing the fault time, node ID, error code, and possible causes, facilitating subsequent maintenance.

[0093] Furthermore, this system supports multiple network topologies and deployment modes. In addition to standard wired network connections, the system can also be deployed via wireless network (Wi-Fi) or hybrid networks to adapt to different production environments. The management program supports dynamic IP address allocation (DHCP) and static IP configuration, and can discover devices via domain names or mDNS (such as Bonjour), enhancing deployment flexibility.

[0094] Furthermore, this system features performance optimization capabilities. The management program can analyze historical burning data, identify performance bottlenecks (such as slow nodes or network latency), and provide optimization suggestions. For example, the system can suggest preloading large image files into the local cache or adjusting network parameters to improve transmission speed. In addition, the management program supports fragmented and parallel transmission of burning tasks, further shortening image distribution time.

[0095] Furthermore, this system supports multi-user and access control. The management program can create multiple user accounts and assign different access levels to each account (such as administrator, operator, and viewer). Administrators can configure system parameters and user permissions, operators can perform burning tasks, and viewers can only monitor the status. This mechanism ensures system security and operational standardization.

[0096] Furthermore, this system can be integrated with external Manufacturing Execution System (MES) or Enterprise Resource Planning (ERP) systems. Through standard interfaces (such as REST API), this system can receive programming task instructions from the MES and report production status and results, achieving automated management of the entire production line. For example, when the MES detects that a batch of products needs to have a specific image programmed, it automatically sends a task to this system. After completing the programming, this system provides feedback on the results, and the MES updates its production records accordingly.

[0097] It should be noted that although this embodiment uses Raspberry Pi 4B and CM4 as examples, the principles of this invention are equally applicable to other types of embedded modules or core boards that support system image burning via USB or other host interfaces. Similarly, the choice of host for burning is not limited to Raspberry Pi 4B; any other single-board computer with corresponding interfaces and computing capabilities (such as other models based on ARM or x86 architectures) can apply the concepts of this invention.

[0098] Furthermore, the number of single-board computers integrated on the independent boards, the number of independent boards included in the whole machine, and the specific configuration of the power supply module and fan can all be adjusted according to actual production needs, heat dissipation capacity, and cost budget. All these changes fall within the protection scope of this invention.

[0099] The implementation principle of this invention is as follows: This invention discloses a multi-peripheral image burning system, including a host computer, a network switch, and a multi-channel burning machine. The multi-channel burning machine integrates multiple single-board computers serving as burning hosts, as well as a power supply module for uniformly supplying power to these hosts and a heat dissipation device for heat dissipation. Each single-board computer is equipped with a USB interface and a network interface. Its network interface is connected to the host computer through the network switch, and its USB interface is used to connect the peripheral modules to be burned. The host computer runs a customized management program, which can remotely control all single-board computers and burn system images to multiple peripheral modules in parallel. This invention, through a highly integrated hardware architecture and centralized software management, realizes synchronous burning of multiple devices, greatly improving burning efficiency. It has the advantages of high integration, high efficiency, and economy, and is particularly suitable for the mass production of embedded modules. Example

[0100] As another embodiment of the present invention, this system can be configured to use other types of single-board computers, such as Orange Pi, NVIDIA Jetson Nano, or Intel x86-based mini PCs. These single-board computers may have different interfaces (such as USB-C, Thunderbolt) or higher computing performance, suitable for burning more complex or larger capacity system images. The management program can automatically identify different types of single-board computers and load the corresponding drivers and burning scripts to ensure compatibility.

[0101] In this embodiment, the peripheral module can also be other embedded core boards, such as Jetson modules, i.MX8 modules, or custom ARM core boards. The system supports connecting peripheral modules with different interfaces via adapters or conversion cables. The management program allows users to customize the programming process; for example, for modules that do not support USB mass storage mode, TFTP, SD card, or serial port programming can be configured.

[0102] Furthermore, in this embodiment, the chassis of the multi-channel programming unit is designed as a scalable rack-mount structure, suitable for deployment in data centers or industrial server rooms. The chassis is a standard 1U or 2U rack unit with an internal backplane design, supporting up to 10 independent boards, each board integrating 8 single-board computers, thereby achieving 80-channel parallel programming. The front of the chassis is equipped with an LCD display and navigation buttons for local status monitoring and configuration, while retaining network management functions.

[0103] The power module uses redundant hot-swappable power supplies, supporting a wide voltage input of 110V-240V and multiple DC outputs of 12V and 5V to meet the power supply requirements of different single-board computers. The cooling system uses multiple centrifugal fans and heat pipe radiators, combined with an intelligent temperature control system that automatically adjusts the fan speed according to the load to ensure effective heat dissipation even under high-density deployment.

[0104] In this embodiment, the hypervisor is upgraded to a web-based distributed architecture, supporting multiple host computers to simultaneously manage one or more multi-channel programming devices. The program provides a RESTful API and message queue (such as MQTT) interface for easy integration with cloud platforms and IoT systems. Furthermore, the hypervisor supports containerized deployment (such as Docker), simplifying the installation and upgrade process.

[0105] This embodiment is particularly suitable for ultra-large-scale production environments, such as global smart device manufacturing plants, enabling centralized management and monitoring across regions, further improving production efficiency and consistency. Example

[0106] As another embodiment of the invention, this system can be focused on mobile and field operation scenarios. The multi-channel programming unit adopts a portable design, with a waterproof and shockproof military-grade chassis. It integrates a battery module and a solar charging interface, supporting offline operation. The system is compact and lightweight, making it easy to carry to the field for programming, such as on-site installation of IoT devices and maintenance of military equipment.

[0107] In this embodiment, the single-board computer uses a low-power model, such as the Raspberry Pi Zero 2 W, and the peripheral modules are corresponding to small embedded modules. The system supports connection to the host computer via 4G / 5G mobile networks or satellite communication for remote management. The management program is optimized to a lightweight version, consuming few resources, starting up quickly, and supporting offline task queues and result caching.

[0108] This embodiment expands the scope of application of the invention, making it not limited to fixed production lines, but adaptable to various harsh environments and mobile needs.

[0109] The embodiments described herein are preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, all equivalent changes made in accordance with the structure, shape, and principle of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A multi-peripheral image burning system, characterized in that, include: One main computer, one network switch, and one multi-channel programming machine; The host computer is connected to the network port of the network switch via a network cable; The multi-channel programming machine includes a chassis, at least one programming unit group integrated in the chassis, a power supply module for supplying power to the programming unit group, and a heat dissipation device for dissipating heat from the programming unit group. The programming unit group includes multiple single-board computers configured in parallel as programming hosts; Each of the aforementioned single-board computers is equipped with at least one USB interface and one network interface; All network interfaces of the single-board computers are connected to the corresponding network ports of the network switch via network cables. The USB interface of all the single-board computers is used to connect the peripheral modules to be programmed. The host computer runs a management program for remotely managing each of the single-board computers via the network and the network switch, and controlling them to burn system images to the connected peripheral modules via the USB interface. The management program running on the host computer is a customized graphical interface program, which has at least one of the following functions: Each of the aforementioned single-board computers can be remotely logged in and controlled via the SSH protocol; The system image files stored in each of the aforementioned single-board computers are managed, including copying, replacing, or deleting. Send instructions to the specified single-board computer to run the diskization tool and enter the burning waiting mode; Receive information from the single-board computer regarding whether the peripheral modules have been correctly identified; Select a specific system image and trigger the designated single-board computer to perform the operation of burning the system image to the connected peripheral module; Monitor and display the burning progress and results of each single-board computer; Start or control the image verification process; Configure batch burning tasks, including configuring the same system image to all single-board computers with one click or configuring different system images to different single-board computers.

2. The multi-peripheral image burning system according to claim 1, characterized in that, The single-board computer is a Raspberry Pi 4B microcomputer; the peripheral module is a Raspberry Pi computing module 4.

3. The multi-peripheral image burning system according to claim 1, characterized in that, The programming unit group specifically refers to multiple single-board computers integrated on a single independent board; the chassis of the multi-channel programming machine contains one or more of the single independent boards.

4. The multi-peripheral image burning system according to claim 3, characterized in that, Each of the aforementioned independent boards integrates four of the aforementioned single-board computers.

5. A multi-peripheral image burning system according to claim 3 or 4, characterized in that, The power module is an AC-to-DC power module, which converts external AC power into 12V DC power to provide unified power to multiple single-board computers on the independent board.

6. A multi-peripheral image burning system according to claim 3 or 4, characterized in that, The heat dissipation device includes a DC fan for each of the independent boards, and the DC fan is installed at the rear or side of the independent board; the DC fan is driven by 12V DC power provided by the power module.

7. The multi-peripheral image burning system according to claim 1, characterized in that, Each of the single-board computers is also equipped with a status indicator device, which includes multiple LED indicators for displaying power, network activity, and programming status.

8. A multi-peripheral image burning system according to claim 1, characterized in that, The USB interface of the single-board computer is a USB 3.0 interface.

9. A multi-peripheral image burning system according to claim 1, characterized in that, The system can simultaneously burn system images to peripheral modules connected to all available USB interfaces.

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