A multi-dimensional distributed power computing communication network device and system

Abstract

This invention relates to the field of distributed power-computing network technology, and in particular to a multi-dimensional distributed power computing communication network device and system. The invention forms a power communication link through a network of wireless communication modules, dividing the power communication link into dedicated power control channels to achieve efficient transmission of power commands; it forms a computing network architecture through a network of distributed computing modules, enabling efficient parallel computing of computing nodes and supporting high-speed distribution and collection of computing data; the separate deployment of power control and computing communication networks avoids data transmission interference and improves the overall targeting and efficiency of communication transmission; the power acquisition terminal directly supplies power to the distributed computing modules, realizing integrated power computing supply, and achieving the coordinated integration of power acquisition, computing processing, and multi-standard communication, improving the distributed networking capability and scheduling efficiency of the power computing network, and realizing the coordinated scheduling of power data acquisition and distributed computing power.

Description

Technical Field

[0001] This invention relates to the field of distributed power computing network technology, and in particular to a multi-dimensional distributed power computing communication network device and system. Background Technology

[0002] In the distributed computing system deployed in centralized new energy power plants, computing nodes and energy storage nodes are deployed simultaneously under the power generation panels, distributed among hundreds or thousands of power generation panels.

[0003] Limited by the power output of a single power panel (between 500W and 800W), the total power of each computing node cannot be too high. Therefore, a large number of computing nodes need to work together to support the computing power required for large-scale scientific computing. How to efficiently connect a large number of distributed computing nodes and energy storage nodes through a suitable network structure and support the synergy of power and computing power has become a major challenge. Therefore, overcoming the shortcomings of the existing technology is an urgent problem to be solved in this technical field. Summary of the Invention

[0004] The technical problem to be solved by this invention is: how to connect a large number of distributed computing nodes and energy storage nodes and realize the coordinated scheduling of power data acquisition and distributed computing power.

[0005] The present invention adopts the following technical solution: In one aspect, a multi-dimensional distributed power computing communication network device is provided, comprising a wireless communication module, a node hardware module, and a distributed computing module connected in sequence; the node hardware module includes a main control unit, an MPPT (Maximum Power Point Tracking) optimizer, and an energy storage unit. The main control unit is connected to the control terminal of the MPPT optimizer and the wireless communication module, respectively; the power generation board, the MPPT optimizer and the energy storage unit are connected in sequence; the output terminal of the MPPT optimizer is connected to the power supply terminal of the distributed computing module and the DC bus of the inverter, respectively. The wireless communication module is used to form a power communication link, and the distributed computing module includes multiple Ethernet interfaces, which are networked to form a computing network architecture.

[0006] Preferably, the wireless communication module is configured with an Internet of Things (IoT) wireless communication interface, and the power communication link is constructed through the IoT wireless communication interface.

[0007] Preferably, the power communication link includes a power grid control channel, a power quality regulation control channel, and an inverter control channel, and each control channel is formed by networking multiple wireless communication modules to form a communication link.

[0008] Preferably, the distributed computing power modules form a dual-star computing power network architecture through Ethernet interfaces. The dual-star computing power network architecture includes a first-level dual-star switching network and a second-level dual-star switching network cascaded in sequence, and each level of the dual-star switching network is equipped with a network switch. The second-level dual-star switching network is communicatively connected to the computing power node control center. The computing node control center performs unified computing power scheduling and node management of the distributed computing power modules of the entire dual-star computing power network architecture through the second-level dual-star switching network.

[0009] Preferably, the distributed computing power modules form a 2D Mesh communication network architecture through an Ethernet interface, and the 2D Mesh communication network architecture can be expanded into a 3D Mesh communication network architecture. In the 2D Mesh communication network architecture, each of the distributed computing power modules is a network node, and each network node establishes a point-to-point communication link through an Ethernet interface to realize distributed data interaction and computing power collaboration among multiple nodes.

[0010] Preferably, the distributed computing power modules form a 2D Torus communication network architecture through an Ethernet interface, and the 2D Torus communication network architecture can be expanded into a 3D Torus communication network architecture; In the 2D Torus communication network architecture, each of the distributed computing power modules is a network node, and each network node establishes a point-to-point communication link through an Ethernet interface to realize distributed data interaction and computing power collaboration among multiple nodes.

[0011] Preferably, the node hardware module further includes a DC-DC unit and a battery management unit connected in sequence, wherein the control terminal of the DC-DC unit and the control terminal of the battery management unit are respectively connected to the main control unit; The input terminal of the DC-DC unit is connected to the output terminal of the MPPT optimizer, and the battery management unit is connected to the energy storage unit.

[0012] Preferably, the distributed computing power module is configured with an independent computing power unit DC bus, and the distributed computing power module is connected to the output terminal of the DC-DC unit through the computing power unit DC bus.

[0013] Preferably, the MPPT optimizer integrates a preset accuracy ADC for detecting the DC voltage and current output by the power generation panel; the battery management unit integrates a preset accuracy ADC for detecting the DC voltage and current output by the energy storage unit. The MPPT optimizer and the battery management unit are used to transmit the detected voltage data and current data to the main control unit in real time, respectively. The main control unit uploads the received power data to the grid control channel, power quality regulation control channel or inverter control channel through the wireless communication module.

[0014] Secondly, a multi-dimensional distributed power computing and communication network system is provided, including multiple multi-dimensional distributed power computing and communication network devices as described in the first aspect.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention establishes a power communication link through a network of wireless communication modules, dividing the power communication link into dedicated power control channels to achieve efficient transmission of power commands. It also establishes a computing network architecture through a network of distributed computing modules, enabling efficient parallel computing by computing nodes and supporting high-speed distribution and collection of computational data. Separate network deployment of power control and computing communication avoids data transmission interference and improves the overall targeting and efficiency of communication transmission. The power acquisition terminal directly supplies power to the distributed computing modules, achieving integrated power computing power supply. This overall integration of power acquisition, computing power processing, and multi-standard communication enhances the distributed networking capability and scheduling efficiency of the power computing network, enabling coordinated scheduling of power data acquisition and distributed computing power, and ensuring the stability, targeting, and scalability of power data and computing power transmission. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the structure of a multi-dimensional distributed power computing and communication network device provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a power communication link provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a power communication link control channel provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of a dual-star computing network architecture provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of a 2D Mesh communication network architecture provided in an embodiment of the present invention; Figure 6This is a schematic diagram of a 2D Torus communication network architecture provided in an embodiment of the present invention; Figure 7 This is a schematic diagram of the specific structure of a multi-dimensional distributed power computing and communication network device provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0019] Unless the context otherwise requires, throughout the specification and claims, the term "comprising" is interpreted as openly inclusive, meaning "including, but not limited to." In the description of the specification, terms such as "one embodiment," "some embodiments," "exemplary embodiment," "example," "specific example," or "some examples" are intended to indicate that a particular feature, structure, material, or characteristic associated with that embodiment or example is included in at least one embodiment or example of this disclosure. The illustrative representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics mentioned may be included in any suitable manner in any one or more embodiments or examples; that is, although they may be incorporated into embodiments or examples using the above terms for reasons such as order and position, it does not limit them to be incorporated in combination by a single embodiment or example.

[0020] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of embodiments of this disclosure, unless otherwise stated, "a plurality of" means two or more. Furthermore, for example, the description may use the prefix "A" or "B" to describe the same type of nouns as two independent entities. In this case, the corresponding features defined with "A" and "B" are used only to distinguish between similar entities and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features.

[0021] In describing some embodiments, the terms "coupled," "coupled," and "connected," and their derivative expressions, may be used. For example, the term "connected" may be used in describing some embodiments to indicate that two or more components have direct physical or electrical contact with each other. Similarly, the term "coupled" may be used in describing some embodiments to indicate that two or more components have direct physical or electrical contact. However, the terms "connected" or "coupled" may also refer to two or more components that do not have direct contact with each other but still cooperate or interact with each other, such as "optical coupling," "wireless connection," etc. The embodiments disclosed herein are not necessarily limited to the scope of this invention.

[0022] Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0023] Example 1: To connect a large number of distributed computing nodes and energy storage nodes through a suitable network structure, thereby achieving collaborative power computing, this embodiment proposes a multi-dimensional distributed power computing communication network device. In one embodiment, such as... Figure 1 As shown, the device includes a wireless communication module, a node hardware module, and a distributed computing power module connected in sequence. The wireless communication module, the node hardware module, and the distributed computing power module form an integrated node architecture for power acquisition, communication transmission, and computing power processing, respectively. This enables the coordinated deployment of power and computing power, solving the problems of poor network compatibility between distributed nodes and uncoordinated scheduling of power and computing resources. It provides hardware support for the interconnection of massive distributed computing nodes and energy storage nodes.

[0024] To achieve the acquisition, transmission, and storage of power data, refer to Figure 1 The node hardware module includes a main control unit, an MPPT optimizer, and an energy storage unit; the main control unit is connected to the control terminal of the MPPT optimizer and the wireless communication module respectively, and the power generation board, the MPPT optimizer, and the energy storage unit are connected in sequence; the output terminal of the MPPT optimizer is connected to the power supply terminal of the distributed computing power module and the inverter DC bus respectively.

[0025] Specifically, in one embodiment, the node hardware module is used to realize power acquisition, conversion, energy storage, and distribution. The main control unit is the control core of the entire device. On the one hand, it can adjust the operating status of the MPPT optimizer in real time; on the other hand, it can achieve communication data interaction with the outside world through external networking via wireless communication modules, and coordinate the overall power dispatching and data transmission command issuance of the device.

[0026] The DC power generated by the power generation panel is first transmitted to the MPPT optimizer. The MPPT optimizer uses the maximum power point tracking principle to track the maximum power output point of the power generation panel in real time, ensuring efficient power collection. The optimized power is then transmitted to the energy storage unit for storage, achieving efficient power collection and storage to meet the device's own power supply and grid connection requirements. In one embodiment, the power generation panel can be a wind power panel, a hydropower panel, or a photovoltaic panel. It can be a single panel or multiple panels connected in parallel or series as a whole.

[0027] In one embodiment, the output of the MPPT optimizer is also connected to the power supply of the distributed computing module and the DC bus of the inverter, thereby realizing multi-path distribution of electrical energy. On the one hand, it can directly provide a stable DC power supply to the distributed computing module, deeply binding the power supply of the distributed computing module with power generation, realizing integrated energy supply of power computing, and reducing dependence on external power supply; on the other hand, it can transmit surplus electrical energy to the DC bus of the inverter, convert it into AC power by the inverter, and then connect it to the grid, realizing grid-connected power consumption, improving energy utilization, and ensuring the flexibility and stability of the device's power supply through the combination of local power consumption and grid-connected transmission.

[0028] In one embodiment, the wireless communication module is used to form a power communication link through networking. The core function of the wireless communication module is to form a standardized power communication link by networking multiple modules of the same type (i.e., multiple wireless communication modules), thereby establishing a dedicated wireless channel for the transmission of power control data. The wireless communication module is directly connected to the main control unit and can receive power data, equipment control commands, and other information issued by the main control unit. Through the networked power communication link, it can realize long-distance, real-time transmission of data and commands. At the same time, it can also receive external power grid regulation and dispatch commands and feed them back to the main control unit, realizing wireless interconnection between the device and the external control system, thereby improving the flexibility and convenience of power control.

[0029] In one embodiment, refer to Figure 1 The distributed computing power module includes multiple Ethernet interfaces, which are networked together to form a computing power network architecture.

[0030] The distributed computing module, serving as the core of computing power processing, is equipped with multiple compatible high-speed Ethernet interfaces. This module can network with other distributed computing modules via these interfaces, forming a computing network architecture adaptable to the interaction of massive computing nodes, thus meeting the needs for high-speed data transmission and computing power collaboration among distributed computing nodes. Specific network types are described below.

[0031] Meanwhile, the distributed module is directly powered by the MPPT optimizer, ensuring a stable power supply. The independent power supply design avoids power supply interference with other power units, guaranteeing the stability of the distributed computing module's operation. This allows distributed computing nodes to rely on electricity to achieve local computing processing and inter-node computing scheduling, enabling on-site collaborative utilization of power and computing resources, and maximizing the computing power of computing nodes and the system.

[0032] To achieve accurate, efficient, and interference-free transmission of power control commands between distributed power computing nodes, and to ensure the communication reliability of core power control operations such as grid regulation, power quality optimization, and inverter operation, in one embodiment, referring to... Figure 1 The wireless communication module is equipped with an Internet of Things (IoT) wireless communication interface, and the power communication link is constructed through the IoT wireless communication interface.

[0033] The IoT wireless communication interface provides the wireless communication module with standardized and universal wireless communication access capabilities, adapting to the communication requirements of multi-node IoT networks and enabling low-latency, high-stability wireless interconnection between distributed devices. This allows the main control unit's power data and control commands to quickly access the power communication link via the corresponding IoT wireless communication interface. Simultaneously, the main control unit can also receive various power regulation commands issued externally through the IoT wireless communication interface, becoming the core hardware carrier for power communication between devices and external control systems, as well as between devices themselves, laying the foundation for subsequent multi-channel power control communication.

[0034] In one embodiment, such as Figure 2 The diagram shows the power communication link, where 200 represents the wireless communication module.

[0035] In one embodiment, such as Figure 3 As shown, the power communication link includes a grid control channel, a power quality regulation control channel, and an inverter control channel. Each control channel is formed by networking multiple wireless communication modules to create a communication link. Figure 3 In this context, 301 represents the IoT communication base station and main control unit, 302 represents the inverter or power concentrator / transformer, and 303 represents the grid-side power quality controller or power regulation device.

[0036] In one embodiment, different types of power control services are allocated to dedicated communication channels. The power grid control channel is specifically used to transmit core instructions such as power grid dispatching, grid connection control, and load regulation between the power grid side and distributed nodes, ensuring the priority transmission and accurate issuance of power grid control instructions.

[0037] The power quality regulation and control channel is dedicated to transmitting power quality monitoring data such as voltage, current, and harmonics, as well as corresponding regulation and control commands, to achieve real-time monitoring and rapid optimization of power quality at distributed nodes.

[0038] The inverter control channel is specifically designed to transmit instructions and data for inverter start-up and shutdown, operating parameter adjustment, and status feedback, ensuring coordinated operation between the inverter and distributed nodes.

[0039] Each control channel is formed by multiple wireless communication modules independently networking to form a communication link, which ensures that the communication data of different channels do not interfere with each other. This effectively avoids problems such as congestion, delay, and packet loss that occur when multiple types of power control data are transmitted on the same link, and greatly improves the transmission efficiency and accuracy of various power control commands and monitoring data.

[0040] Meanwhile, the independent channel-based networking design allows for the separate scheduling, maintenance, and expansion of communication links for each power control service. When the communication requirements of a particular control service change, only the corresponding channel needs adjustment, without altering the overall wireless communication architecture, thus enhancing the flexibility and adaptability of the wireless communication network. Furthermore, the multi-module networking approach endows each control channel with distributed networking characteristics. The failure of a single module will not affect the communication continuity of the entire channel, further enhancing the stability and fault tolerance of power control wireless communication and providing reliable communication guarantees for power control services within a multi-dimensional distributed power computing network.

[0041] To adapt to the diverse networking requirements of massive distributed computing nodes, achieve efficient interaction and hierarchical, grid-based scheduling of computing data, and improve the scalability and synergy of the computing network architecture, this embodiment proposes at least three types of computing network architectures. In one embodiment, such as... Figure 4 As shown, the distributed computing power modules form a dual-star computing power network architecture through Ethernet interfaces. This dual-star computing power network architecture includes a first-level dual-star switching network and a second-level dual-star switching network cascaded sequentially. Each level of the dual-star switching network is equipped with a network switch. The second-level dual-star switching network is communicatively connected to the computing power node control center. Figure 4 In the diagram, 406 indicates a distributed computing module.

[0042] The first computing power network architecture adopts a hierarchical dual-star networking design. The first-level dual-star switching network includes a bottom-level distributed computing power module that is networked with the corresponding network switch through an Ethernet interface, realizing the nearby data aggregation and interaction of the bottom-level computing power nodes, and significantly reducing the communication latency between the bottom-level nodes. The second-level dual-star switching network realizes the uplink aggregation of each first-level switching network, and completes the data forwarding and scheduling between different computing power groups through the network switch.

[0043] The two-level switching networks are cascaded to form a hierarchical computing power communication system, and all networks are implemented based on Ethernet interfaces to ensure high-speed transmission of computing power data. At the same time, the second-level dual-star switching network is directly connected to the computing power node control center. In one embodiment, the computing power node control center performs unified computing power scheduling and node management of the distributed computing power modules of the entire dual-star computing power network architecture through the second-level dual-star switching network.

[0044] The computing node control center can perform unified computing power scheduling, node management and data control for all distributed computing power modules within the entire dual-star architecture, realize hierarchical overall allocation of computing power resources, adapt to the centralized management needs of large-scale computing power nodes, and the dual-star structure with dual-level networking design greatly improves the fault tolerance of the computing power communication network. The failure of a single node or switch will not affect the communication continuity of the overall network.

[0045] In one embodiment, the second computing network architecture is as follows: Figure 5 As shown, the distributed computing modules form a 2D Mesh communication network architecture through Ethernet interfaces. This 2D Mesh communication network architecture can be expanded into a 3D Mesh communication network architecture. In this 2D Mesh communication network architecture, each distributed computing module is a network node, and each network node establishes a point-to-point communication link through an Ethernet interface to achieve distributed data interaction and computing power collaboration among multiple nodes. Figure 5 In the diagram, 406 indicates a distributed computing module.

[0046] Among them, the distributed computing power modules form a 2D Mesh computing power network architecture through Ethernet interface networking. Each distributed computing power module is an independent network node, and the nodes establish point-to-point bidirectional communication links through Ethernet interface to form a mesh-like computing power communication topology.

[0047] In the 2D Mesh communication network architecture, each computing node can achieve multi-path forwarding and interaction of data through adjacent nodes, without the need for unified scheduling by a core switch. This realizes distributed transmission of computing data, significantly improving the flexibility and efficiency of data interaction. Simultaneously, the multi-path communication link design gives the network strong robustness; when a communication link or node fails, data can automatically switch to other available paths for transmission, ensuring the continuity of computing communication. The absence of a core scheduling node in this architecture makes the expansion of the computing network more convenient. Adding a distributed computing module only requires establishing a link with surrounding nodes through an Ethernet interface to access the network, without significant adjustments to the original network architecture. This adapts to the distributed networking needs of medium- to large-scale computing nodes, enabling localized collaboration and distributed scheduling of computing resources.

[0048] In one embodiment, the third computing network architecture is as follows: Figure 6 As shown, the distributed computing power modules form a 2D Torus communication network architecture through Ethernet interfaces. This 2D Torus communication network architecture can be expanded into a 3D Torus communication network architecture. In this 2D Torus communication network architecture, each distributed computing power module is a network node, and each network node establishes a point-to-point communication link through an Ethernet interface to achieve distributed data interaction and computing power collaboration among multiple nodes. Figure 6 In this context, n0-n24 represent distributed computing power modules from different computing power nodes.

[0049] The distributed computing power modules form a 2D Torus computing power network architecture through Ethernet interfaces. Based on the 2D Mesh computing power network architecture, the 2DTorus computing power network architecture performs ring interconnection design on the edge nodes of the mesh topology, extending the unidirectional communication links of the edge nodes in the 2D Mesh architecture into closed ring links, so that the entire computing power communication network forms a borderless mesh ring topology.

[0050] Each distributed computing module, acting as a node in a ring mesh, communicates omnidirectionally with surrounding nodes via Ethernet interfaces. Data can be transmitted via a ring-shaped multipath within the network, further shortening the communication distance between edge nodes compared to a 2D Mesh architecture, reducing data forwarding latency, and improving the overall efficiency of computing data transmission. Simultaneously, the closed-loop topology design further enhances the network's fault tolerance and scalability, supporting automatic path switching after single-link or single-node failures, and maintaining the ring mesh topology characteristics during network expansion, enabling seamless access for computing nodes.

[0051] Furthermore, in one embodiment, the 2D Torus computing network architecture and the 2D Mesh computing network architecture can each form a 3D Torus computing network architecture and a 3D Mesh computing network architecture based on the three-dimensional expansion of nodes. By adding communication links in the spatial dimension, the node carrying capacity and data interaction efficiency of the computing network are further improved, adapting to the high-density networking and high-speed collaboration requirements of ultra-large-scale distributed computing nodes.

[0052] Based on the structure of the aforementioned node hardware modules, in order to achieve precise voltage regulation and adaptation of power and intelligent monitoring and management of energy storage units, and to ensure the stability of power transmission and the safe operation of energy storage units, in one embodiment, such as... Figure 7As shown, the node hardware module also includes a DC-DC unit and a battery management unit connected in sequence. The control terminals of the DC-DC unit and the battery management unit are respectively connected to the main control unit. The input terminal of the DC-DC unit is connected to the output terminal of the MPPT optimizer, and the battery management unit is connected to the energy storage unit.

[0053] The DC-DC unit receives DC power output from the MPPT optimizer. Relying on the real-time control of the main control unit, it performs step-up / step-down and voltage regulation on the input voltage according to the charging requirements of the energy storage unit and the power supply standards of the distributed computing module. This achieves precise voltage matching of the power, ensuring that the MPPT-optimized power can match the voltage specifications of different power-consuming units. This avoids equipment damage or unstable power supply due to voltage mismatch, while also ensuring efficient and safe transmission of DC power to the energy storage unit and the distributed computing module.

[0054] The control terminal of the battery management unit is under the overall scheduling of the main control unit. It can collect core operating parameters of the energy storage unit in real time, such as voltage, current, remaining power, and temperature, accurately monitor the charging and discharging status and health status of the energy storage unit, and feed all monitoring data back to the main control unit in real time, providing data support for the main control unit to issue charging and discharging control commands.

[0055] Meanwhile, the battery management unit can precisely control the charging and discharging current and charging and discharging cutoff voltage of the energy storage unit according to the instructions of the main control unit, preventing the energy storage unit from overcharging, over-discharging and over-temperature operation, effectively extending the service life of the energy storage unit, ensuring the safe operation of the energy storage unit, enabling the energy storage unit to stably store electricity and release it on demand, and further improving the power supply stability and energy utilization rate of the entire device.

[0056] The main control unit can adjust the power output of the DC-DC unit according to the energy storage unit status fed back by the battery management unit. When the energy storage unit is low on power, it increases the power supply to the energy storage unit. When the energy storage unit is fully charged, it prioritizes the allocation of excess power to the distributed computing module or the inverter DC bus. It can also coordinate and control the DC-DC unit and the battery management unit according to the power demand of the distributed computing module and the grid, combined with the energy storage unit status, to achieve intelligent allocation of power and energy storage power, making the power scheduling of the entire node hardware module more scientific and flexible.

[0057] To achieve independent extraction of electrical energy from the power source, in one embodiment, reference is made to... Figure 7 The distributed computing power module is configured with an independent computing power unit DC bus, and the distributed computing power module is connected to the output terminal of the DC-DC unit through the computing power unit DC bus.

[0058] The independent computing unit DC bus provides a dedicated power supply link for the distributed computing module, achieving physical isolation between the computing module and other power units in the node hardware module. This prevents voltage fluctuations and current changes from other power services such as energy storage unit charging and discharging and inverter grid-connected power regulation from being transmitted to the power supply end of the computing module. From the power supply link level, this ensures the stability and continuity of the power supply to the distributed computing module, enabling the distributed computing module to achieve high-speed computing processing and data interaction between nodes in a stable power environment. This effectively avoids problems such as computing interruption and data transmission errors caused by power supply fluctuations.

[0059] In one embodiment, the MPPT optimizer integrates a preset-precision ADC for detecting the DC voltage and current output by the power generation panel; the battery management unit integrates a preset-precision ADC for detecting the DC voltage and current output by the energy storage unit; the MPPT optimizer and the battery management unit are used to transmit the detected voltage and current data to the main control unit in real time, respectively; the main control unit uploads the received power data to the grid control channel, power quality regulation control channel, or inverter control channel via the wireless communication module. The preset-precision ADC can be set by those skilled in the art according to the actual application scenario requirements, and is not specifically limited in this embodiment.

[0060] The ADC detection data of the MPPT optimizer can provide accurate basis for the main control unit to adjust the maximum power point tracking strategy, so that the power acquisition is always in the optimal state; the ADC detection data of the battery management unit is used by the main control unit to judge the health status of the energy storage unit and issue charging and discharging control commands, laying a solid data foundation for the safe operation of the energy storage unit.

[0061] The MPPT optimizer and battery management unit transmit the collected voltage and current data to the main control unit in real time, enabling centralized monitoring of power parameters throughout the entire power generation and energy storage process. This allows the main control unit to grasp the power operation status of the device in real time, providing accurate data for subsequent power dispatching and equipment control.

[0062] At the same time, refer to Figure 3 Based on the type and application scenario of power data, the main control unit accurately uploads power data to the corresponding dedicated power control channel via a wireless communication module. Power data related to grid dispatch and grid connection coordination is uploaded to the grid control channel, providing data reference for the grid side to grasp the power output status of distributed nodes and issue dispatch instructions. Power quality-related data such as voltage and current stability are uploaded to the power quality regulation and control channel, supporting real-time monitoring and rapid optimization of the entire network's power quality. Power data related to inverter grid connection adaptation is uploaded to the inverter control channel, providing data basis for inverter operating parameter adjustment and start-stop control.

[0063] In summary, this embodiment establishes a power communication link through the networking of the wireless communication modules, dividing the power communication link into a dedicated power control channel to achieve efficient transmission of power commands. It also establishes a computing network architecture through the networking of distributed computing modules, enabling efficient parallel computing of computing nodes and supporting high-speed distribution and collection of computational data. The separate deployment of power control and computing communication networks avoids data transmission interference and improves the overall targeting and efficiency of communication transmission. The power acquisition terminal directly supplies power to the distributed computing modules, achieving integrated power computing power supply. This overall integration of power acquisition, computing power processing, and multi-standard communication enhances the distributed networking capability and scheduling efficiency of the power computing network, enabling coordinated scheduling of power data acquisition and distributed computing power, and ensuring the stability, targeting, and scalability of power data and computing power transmission.

[0064] Example 2: This embodiment proposes a multi-dimensional distributed power computing and communication network system, which includes multiple multi-dimensional distributed power computing and communication network devices as described in Embodiment 1.

[0065] Multiple wireless communication modules are used to form a power communication link, and multiple distributed computing modules are used to form a computing network architecture through an Ethernet interface.

[0066] In summary, this embodiment establishes a power communication link through the networking of the wireless communication modules, dividing the power communication link into a dedicated power control channel to achieve efficient transmission of power commands. It also establishes a computing network architecture through the networking of distributed computing modules, enabling efficient parallel computing of computing nodes and supporting high-speed distribution and collection of computational data. The separate deployment of power control and computing communication networks avoids data transmission interference and improves the overall targeting and efficiency of communication transmission. The power acquisition terminal directly supplies power to the distributed computing modules, achieving integrated power computing power supply. This overall integration of power acquisition, computing power processing, and multi-standard communication enhances the distributed networking capability and scheduling efficiency of the power computing network, enabling coordinated scheduling of power data acquisition and distributed computing power, and ensuring the stability, targeting, and scalability of power data and computing power transmission.

[0067] For the specific structure of the multi-dimensional distributed power computing and communication network device, please refer to Embodiment 1, which will not be repeated in this embodiment.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-dimensional distributed power computing and communication network device, characterized in that, It includes a wireless communication module, a node hardware module, and a distributed computing power module connected in sequence; the node hardware module includes a main control unit, an MPPT optimizer, and an energy storage unit. The main control unit is connected to the control terminal of the MPPT optimizer and the wireless communication module, respectively; the power generation board, the MPPT optimizer and the energy storage unit are connected in sequence; the output terminal of the MPPT optimizer is connected to the power supply terminal of the distributed computing module and the DC bus of the inverter, respectively. The wireless communication module is used to form a power communication link, and the distributed computing module includes multiple Ethernet interfaces, which are networked to form a computing network architecture.

2. The multi-dimensional distributed power computing and communication network device according to claim 1, characterized in that, The wireless communication module is equipped with an IoT wireless communication interface, and the power communication link is constructed through the IoT wireless communication interface.

3. The multi-dimensional distributed power computing and communication network device according to claim 1, characterized in that, The power communication link includes a power grid control channel, a power quality regulation control channel, and an inverter control channel. Each control channel is formed by networking multiple wireless communication modules to create a communication link.

4. The multi-dimensional distributed power computing and communication network device according to claim 1, characterized in that, The distributed computing power modules form a dual-star computing power network architecture through Ethernet interfaces. The dual-star computing power network architecture includes a first-level dual-star switching network and a second-level dual-star switching network cascaded in sequence. Each level of the dual-star switching network is equipped with a network switch. The second-level dual-star switching network is communicatively connected to the computing power node control center. The computing node control center is used to perform unified computing power scheduling and node management of the distributed computing power modules of the entire dual-star computing power network architecture through the second-level dual-star switching network.

5. The multi-dimensional distributed power computing and communication network device according to claim 1, characterized in that, The distributed computing power modules form a 2D Mesh communication network architecture through an Ethernet interface, and the 2D Mesh communication network architecture can be expanded into a 3D Mesh communication network architecture. In the 2D Mesh communication network architecture, each of the distributed computing power modules is a network node, and each network node establishes a point-to-point communication link through an Ethernet interface to realize distributed data interaction and computing power collaboration among multiple nodes.

6. The multi-dimensional distributed power computing and communication network device according to claim 1, characterized in that, The distributed computing power modules form a 2D Torus communication network architecture through an Ethernet interface, and the 2D Torus communication network architecture can be expanded into a 3D Torus communication network architecture. In the 2D Torus communication network architecture, each of the distributed computing power modules is a network node, and each network node establishes a point-to-point communication link through an Ethernet interface to realize distributed data interaction and computing power collaboration among multiple nodes.

7. The multi-dimensional distributed power computing and communication network device according to claim 1, characterized in that, The node hardware module also includes a DC-DC unit and a battery management unit connected in sequence, with the control terminal of the DC-DC unit and the control terminal of the battery management unit respectively connected to the main control unit; The input terminal of the DC-DC unit is connected to the output terminal of the MPPT optimizer, and the battery management unit is connected to the energy storage unit.

8. The multi-dimensional distributed power computing and communication network device according to claim 7, characterized in that, The distributed computing power module is configured with an independent computing power unit DC bus, and the distributed computing power module is connected to the output terminal of the DC-DC unit through the computing power unit DC bus.

9. The multi-dimensional distributed power computing and communication network device according to claim 7, characterized in that, The MPPT optimizer integrates a preset-precision ADC for detecting the DC voltage and current output by the power generation panel; the battery management unit integrates a preset-precision ADC for detecting the DC voltage and current output by the energy storage unit. The MPPT optimizer and the battery management unit are used to transmit the detected voltage data and current data to the main control unit in real time, respectively. The main control unit uploads the received power data to the grid control channel, power quality regulation control channel or inverter control channel through the wireless communication module.

10. A multi-dimensional distributed power computing and communication network system, characterized in that, It includes multiple multi-dimensional distributed power computing and communication network devices as described in any one of claims 1-9.

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