Expandable power supply backplane capable of self-adaptive redundancy regulation and control

Abstract

The invention relates to the technical field of power supply backboards, and discloses a self-adaptive redundancy regulation and control expandable power supply backboard, the backboard main body is internally provided with a plurality of mounting holes in a penetrating manner, the backboard main body comprises a redundancy regulation and control system, and the redundancy regulation and control system comprises a fault detection module, a fault diagnosis module and a control module, the power supply backplane is used for monitoring load data on the power supply backplane in real time and detecting whether a fault occurs; the redundancy calculation module is used for calculating a redundancy index according to the real-time load data; the power supply module regulation and control module is used for regulating the working state of the power supply module according to the redundancy index output by the redundancy calculation module so as to ensure the power supply stability of the system; and the power supply module is mounted on the power supply back plate in a detachable connection manner. By adopting the self-adaptive redundancy regulation and control system of the power supply backboard, the technical effect of intelligently optimizing the power supply load and redundancy configuration is achieved by monitoring and dynamically regulating the working state of the power supply module in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply backplanes, in particular to an expandable power supply backplane with adaptive redundant control. Background Art

[0002] The power backplane is a device used to provide power distribution and management for multiple power modules. It is widely used in high-efficiency power systems, especially in environments such as data centers and communication base stations that require high reliability and high-efficiency power. It ensures stable power supply for each component in the system by cooperating with multiple power modules. The power backplane usually has multiple redundant power modules to ensure that the system can continue to operate stably when a module fails. However, the redundant configuration of traditional power backplanes is usually static, which means that the activation and load distribution of redundant power modules are often set in advance, lacking flexibility and dynamic adjustment capabilities. The management and fault recovery of the power backplane mostly rely on manual intervention or traditional monitoring methods, failing to achieve intelligent management and rapid response.

[0003] Most traditional power supply systems use static redundant configurations, and the activation and load distribution of power modules are pre-set. Although this solution is simple and reliable, in actual operation, it fails to fully consider load changes or dynamic adjustments to system status. For example, when the load is low, multiple power modules are still running at the same time, resulting in a waste of resources. When the load surges, the system's response is not flexible enough, which may lead to insufficient power supply. The defects of this static solution make it impossible for the power supply system to be optimized in real time according to actual needs, resulting in unreasonable resource allocation and low system efficiency.

[0004] The fault detection and recovery mechanism of traditional power supply systems usually relies on manual intervention. When a power module fails, it must be inspected and repaired on site by a technician, resulting in long downtime and high maintenance costs. In some cases, the fault may have caused a greater system risk, but it was not discovered and repaired in time, causing unnecessary losses. The lack of intelligent automatic detection and recovery mechanism further reduces the stability and reliability of the power supply system. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an expandable power supply backplane with adaptive redundant control, which solves the problems of inflexible redundant configuration of the power supply system, slow fault recovery and inaccurate load distribution.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an expandable power backplane with adaptive redundant control, including a backplane body, a plurality of mounting holes are penetrated inside the backplane body, and a redundant control system is included on the backplane body, and the redundant control system includes: A fault detection module is used to monitor the load data on the power backplane in real time and detect whether a fault occurs; A redundancy calculation module, used to calculate redundancy indicators based on real-time load data; A power module control module, used to adjust the working state of the power module according to the redundancy index output by the redundancy calculation module to ensure the stability of the system power supply; The power module is installed on the power backplane through a detachable connection; Load data acquisition unit, used to obtain the working status information of the power module in real time, including load, voltage and current parameters; The control module is responsible for monitoring the load data and adjusting the working status of the power module according to the redundancy index; The communication module is used to exchange data with the external management system and transmit real-time load data, redundancy indicators and working status information of the power module for remote monitoring and management.

[0007] Preferably, the power modules are mounted on a power backplane in a detachable connection form, and the power backplane can dynamically increase or decrease the number of power modules according to load demand.

[0008] Preferably, the redundancy calculation module calculates a redundancy index based on real-time load data, and the redundancy index is used to determine the number of activated power modules required so as to reasonably allocate power resources to avoid waste of redundant power or power shortage.

[0009] Preferably, the power module of the power backplane has an input end and an output end, which are connected through a physical interface, and the number of power modules can be flexibly adjusted according to load requirements.

[0010] Preferably, the power module can be freely installed or disassembled according to different usage requirements to provide higher system scalability.

[0011] Preferably, the fault detection module is used to detect faults of the power module in real time. When a fault is detected, the backup power module is automatically activated to ensure the stability of the power system, and the power module is quickly switched through the control module to avoid power interruption.

[0012] Preferably, the control module monitors the load data in real time, models the load data using a machine learning algorithm, and dynamically adjusts the redundancy index based on the prediction result, thereby intelligently adjusting the working state of the power module.

[0013] Preferably, the communication module is used to exchange data with an external management system and transmit real-time load data and redundancy indicators for remote monitoring and management.

[0014] Preferably, the communication module is connected to the external management system by wireless communication, ensuring that the power backplane can stably exchange data with the external management system under different working environments, and supporting remote diagnosis and maintenance.

[0015] Preferably, the backplane implements adaptive redundancy control by monitoring the load status, automatically adjusting the number of redundant power modules to meet the needs of different system loads, and ensuring stable power supply when the load changes.

[0016] The present invention provides an expandable power backplane with adaptive redundant control, which has the following beneficial effects: 1. The present invention adopts a power backplane adaptive redundancy control system, which achieves the technical effect of intelligently optimizing power load and redundancy configuration by real-time monitoring and dynamically adjusting the working status of the power module. Compared with the traditional static redundancy configuration scheme in the prior art, the present invention can dynamically adjust according to the real-time load and fault detection results, thereby effectively avoiding excessive redundancy or load overload, and improving the operating efficiency and stability of the system.

[0017] 2. The present invention realizes rapid response and repair after power module failure occurs by combining fault detection and recovery mechanisms, achieving the technical effect of improving system fault tolerance and reliability. Compared with the power failure repair method that only relies on manual intervention in the prior art, the present invention can automatically detect and restore the faulty module, greatly reducing the time and error of manual operation and reducing the downtime caused by the failure.

[0018] 3. The present invention uses the collaboration between the remote management system and the power backplane, allowing the operation and maintenance personnel to monitor and remotely adjust the power configuration in real time through the external system, achieving the technical effect of efficient and intelligent operation and maintenance management. Compared with the traditional manual configuration adjustment method in the prior art, the present invention can timely discover and solve potential problems through remote control and data feedback, thereby improving the operation and maintenance efficiency and safety of the system.

[0019] 4. The present invention ensures the flexible adjustment of the power backplane under different load conditions through the combination of the communication module and the remote management system, achieving the technical effect of accurate load distribution and optimization. Different from the power management method that only relies on local control in the prior art, the present invention can adjust the load distribution and redundancy configuration in real time through intelligent analysis of the external system, thereby improving the adaptability and energy efficiency of the power system in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A perspective view of the present invention; Figure 2 It is a system framework diagram of the present invention.

[0021] Among them, 1. Back panel body; 2. Installation hole. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Please see attached Figure 1 -Attached Figure 2 The embodiment of the present invention provides an expandable power backplane with adaptive redundant control, including a backplane body 1, a plurality of mounting holes 2 are penetrated inside the backplane body 1, and the backplane body 1 includes a redundant control system, and the redundant control system includes: A fault detection module is used to monitor the load data on the power backplane in real time and detect whether a fault occurs; A redundancy calculation module, used to calculate redundancy indicators based on real-time load data; A power module control module, used to adjust the working state of the power module according to the redundancy index output by the redundancy calculation module to ensure the stability of the system power supply; The power module is installed on the power backplane through a detachable connection; Load data acquisition unit, used to obtain the working status information of the power module in real time, including load, voltage and current parameters; The control module is responsible for monitoring the load data and adjusting the working status of the power module according to the redundancy index; The communication module is used to exchange data with the external management system and transmit real-time load data, redundancy indicators and working status information of the power module for remote monitoring and management.

[0024] The main body of the power backplane is made of high-strength metal or plastic material, and multiple mounting holes are designed inside to facilitate the flexible installation of power modules and other modules. The design of the backplane not only supports the installation of power modules of different specifications, but also dynamically adjusts the module configuration according to actual load requirements to ensure the scalability of the system.

[0025] The core modules of the power backplane include fault detection module, redundancy calculation module, power module control module, load data acquisition unit, control module and communication module. The specific functions are as follows: The fault detection module is responsible for real-time monitoring of the operating status of the power module. By monitoring the key parameters of current and voltage, the module can quickly detect whether the power module has a fault. If the power module is abnormal, the fault detection module will immediately send a fault signal to the control module. The control module starts the backup power module according to the preset logic to ensure that the power system is not affected.

[0026] The module can ensure the healthy operation of the power module at any time and automatically adjust the system configuration when a fault occurs, greatly improving the reliability of the system.

[0027] The redundancy calculation module calculates the required redundancy index based on real-time load data. This index determines the number of power modules and whether additional backup modules need to be enabled. The core idea of ​​the redundancy calculation module is to determine the number of activated power modules based on the current load demand, ensuring that the power system can provide sufficient power without excessively wasting power resources.

[0028] The module's dynamic calculation function enables the system to flexibly adjust the power configuration according to load changes, avoiding unnecessary redundancy while ensuring stable power supply when the load surges.

[0029] The power module control module intelligently adjusts the working status of the power module based on the redundancy index output by the redundancy calculation module. Each power module is activated or shut down according to the real-time load demand. The function of this module is to ensure that the number of power modules is reasonably configured under any workload, which not only avoids unnecessary energy waste, but also ensures that the power system can respond quickly when demand increases.

[0030] Through the power module control module, the power backplane can effectively cope with load fluctuations and keep the system running efficiently and stably.

[0031] The load data acquisition unit collects the working status of the power module in real time, including key information of load, voltage and current. These data are transmitted to the control module through the transmission line. The control module adjusts the working status of the power module in real time according to these data.

[0032] In addition, the load data acquisition unit can also be used for long-term monitoring to provide basic data support for later maintenance and system optimization.

[0033] The control module is the "brain" of the power backplane, responsible for coordinating and managing the operation of each module. It adjusts the working status of the power module through the redundancy index provided by the redundancy calculation module to ensure that the power system can always meet the current load requirements. The control module also optimizes system performance through real-time monitoring of load data and machine learning algorithms, predicts load fluctuations in advance and makes intelligent adjustments to avoid insufficient or excessive power due to drastic load changes.

[0034] The control module ensures that the system is always in the best working state by adjusting the number of power modules in real time, reducing unnecessary waste of resources and improving the response speed of the power system.

[0035] The communication module ensures that the power backplane can exchange data with the external management system. Through wireless or wired means, the communication module transmits the load data, redundancy index and working status information of the power backplane to the external management system in real time. The external management system can perform real-time monitoring, data analysis and remote maintenance based on this information.

[0036] The communication module supports remote diagnosis function, so that operation and maintenance personnel can obtain the operating status of the power system at any time, and promptly identify potential problems and deal with them, reducing the need for manual inspections and on-site operations.

[0037] Step S1: Working principle and implementation of fault detection module First, step S1 is an important step in the power backplane, involving the implementation and function of the fault detection module. This step is closely connected with the redundancy calculation module, the control module and the power module control module, and constitutes the basis of the power backplane adaptive redundancy control system. The function of the fault detection module is to ensure the stable operation of the power system by monitoring the working status of the power module. When the power module fails, the system can respond quickly and take necessary measures to ensure the reliability of the system.

[0038] In this embodiment, the fault detection module evaluates the health status of the power module by real-time acquisition and monitoring of the current and voltage parameters of the power module. Under normal working conditions, the current and voltage of the power module will be within a predetermined range. Specifically, when the working current of the power module is Exceeding the maximum limit or below the minimum , or voltage Exceed or below , the fault detection module will immediately identify that the power module has failed.

[0039] In one possible implementation, the fault detection module can not only monitor the abnormality of current and voltage, but also monitor the temperature of the power module through the temperature sensor. or below the minimum allowed value , will also be judged as a fault and trigger subsequent protection measures. The health status monitoring of the power module is not limited to the traditional current and voltage parameters, but integrates multiple sensing technologies for comprehensive evaluation, thereby improving the accuracy of fault identification.

[0040] In a typical implementation, when the fault detection module confirms that the power module has failed, the fault detection module will immediately send a fault signal to the control module to notify the system to start the backup power module. The backup power module will automatically take over the work tasks of the failed power module to ensure that the load of the power system continues to be supported. At this time, the system will adjust the working status of the power module and optimize resource allocation based on the load data and the redundancy index provided by the redundancy calculation module.

[0041] In terms of formula, the fault detection module determines the fault based on the monitoring of current, voltage and temperature parameters. In current monitoring, the working current of the power module Must be maintained at range; voltage monitoring requires the voltage of the power module Keep in Between; Temperature monitoring requires the temperature of the power module Should comply with The setting values ​​of these parameters are optimized according to the rated operating range of the power module to ensure the safe operation of the power module.

[0042] In some embodiments, the function of the fault detection module can be expanded according to actual needs. For example, the module can not only detect the fault of a single power module, but also monitor the power system as a whole, especially when multiple power modules work together, it can comprehensively judge the health of the entire system. In this way, the fault detection module is not only limited to local fault detection, but also can perform global performance monitoring to ensure that the system can still operate stably under more complex load environments.

[0043] In one possible implementation, the monitoring data of the fault detection module will be uploaded to an external management system in real time, which is convenient for operation and maintenance personnel to perform remote management and fault analysis. Through communication with the external system, operation and maintenance personnel can obtain detailed data of the power system, help make more accurate diagnosis, and respond in time when a fault occurs, reducing maintenance and downtime.

[0044] In summary, the fault detection module in step S1 ensures the health of the power module through multi-dimensional real-time monitoring and responds quickly when a fault occurs. The system's automatic switching mechanism and the coordinated work of the redundancy calculation module effectively ensure the stability and reliability of the power system. During the implementation process, the fault detection module provides timely fault response, accurate fault identification and effective prevention mechanism, so that the power backplane can adapt to different load environments and ensure stable operation.

[0045] Step S2: Working principle and implementation of redundancy calculation module In the power backplane adaptive redundant control system, step S2 mainly involves the working principle and implementation of the redundancy calculation module. The aforementioned step S1 monitors the power module in real time through the fault detection module, identifies the fault of the power module and triggers the corresponding response mechanism. Step S2 calculates a reasonable redundancy index through the redundancy calculation module after obtaining the load data of the power module, so as to dynamically adjust the working status of the power module to ensure that the power system can continue to supply power stably when the load changes. The output result of the redundancy calculation module is closely related to the adjustment of the subsequent power module control module, and is a key step to ensure the stability of the power system.

[0046] In this embodiment, the redundancy calculation module receives real-time load data from the load data acquisition unit and calculates the redundancy index based on these data. In general, the goal of the redundancy calculation module is to ensure that the system can maintain dynamic adjustment of the number of power modules under load fluctuations, thereby avoiding excess or insufficient power resources. Specifically, the calculation of the redundancy index needs to comprehensively consider the current load demand, the working capacity of the power module, and the redundant configuration of the system to achieve optimal resource allocation.

[0047] In a possible implementation, the redundancy calculation module calculates the redundancy required for the power supply system based on real-time load data, the current working status of the power supply module, and historical load trend information.

[0048] Specifically, when the redundancy calculation module performs calculations, some embodiments may combine multiple input data for comprehensive calculations, such as historical load data, system load change trends, and the performance status of the current power module. As an option, the redundancy calculation module can also be fine-tuned according to the working efficiency and expected life of the power module to ensure the long-term stability and economy of the system. This calculation process is not just a simple ratio calculation of the load and the power module capacity, but also takes into account more actual usage situations.

[0049] For systems under certain high-load conditions, the redundancy calculation module can output a higher redundancy value and activate more backup power modules; under low-load conditions, the redundancy calculation module may shut down some power modules by adjusting the redundancy index to reduce unnecessary energy consumption.

[0050] In another embodiment, the redundancy calculation module not only adjusts the redundancy according to the current load situation, but also calculates the load fluctuation trend in advance based on the load prediction model to optimize the calculation of the redundancy index. Specifically, when the redundancy calculation module analyzes the load fluctuation trend based on historical data and real-time data, it will predict the load demand of the system in advance to ensure that the power supply system can respond in the early stage of load changes and avoid the risk of unstable power supply caused by load fluctuations.

[0051] The calculation results of the redundancy calculation module will be passed as input data to the subsequent power module control module to adjust the number and status of the power modules. The dynamic adjustment of the redundancy index can not only optimize the working efficiency of the power module, but also optimize the allocation of power resources according to the real-time changes of the load to avoid the waste of power resources.

[0052] In order to accurately calculate the redundancy, the redundancy calculation module in this example uses the following key formula: Redundancy calculation formula: ; in, is the redundancy index, is the current system load demand, is the current workload of the power module, It is the maximum load capacity of the power module.

[0053] Redundancy adjustment formula: If the redundancy When the preset threshold is exceeded, the system may enable more power modules; if If it is lower than the preset value, some power modules will be turned off.

[0054] The core function of the redundancy calculation module is to dynamically allocate the power supply module according to the workload, redundancy index and system requirements of the power supply module. Specifically, the redundancy calculation module can predict load changes by comprehensively analyzing real-time load data, historical trends and system performance status, thereby achieving more accurate redundancy adjustment. In some embodiments, the calculation method of the redundancy calculation module can be further combined with a machine learning algorithm to perform pattern recognition and load trend prediction of load data, thereby improving calculation accuracy and optimizing the resource allocation of the power backplane.

[0055] As an option, the redundancy calculation module can set multiple redundancy targets based on different types of load requirements, and handle redundancy calculations in low-load, medium-load, and high-load scenarios respectively. In this way, the redundancy calculation module can provide personalized power allocation solutions according to different load environments, further improving the flexibility and reliability of the power supply system.

[0056] Through the dynamic adjustment of the redundancy calculation module, the system can ensure that the power module is adjusted in time when the load changes to avoid excessive redundancy or insufficient power. The accurate calculation of the redundancy index not only provides the power backplane with intelligent adjustment capabilities, but also achieves the optimal configuration of power resources through collaboration with the fault detection module and the power module control module. In the actual application of the power backplane, the redundancy calculation module can significantly improve the stability and reliability of the power system, ensure that the system can run smoothly under various load environments, reduce energy waste and improve the overall efficiency of the system.

[0057] Step S3: Working principle and implementation of power module control module In the adaptive redundant control system of the power backplane, step S3 involves the working principle of the power module control module. This step is closely connected with the aforementioned step S1 (fault detection module) and step S2 (redundancy calculation module) to ensure that the system operates stably according to the real-time load demand. The power module control module controls the activation and deactivation of the power module based on the redundancy index provided by the redundancy calculation module, thereby avoiding unnecessary energy waste and ensuring the power supply continuity of the power system.

[0058] In this embodiment, the power module control module receives the redundancy index from the redundancy calculation module and adjusts the working state of the power module according to the index. Specifically, when the system load increases, the power module control module activates more power modules according to the redundancy index to meet the system power demand; when the load decreases, some power modules are turned off to avoid wasting redundant power.

[0059] Power module control formula and parameter definition To ensure that the power system properly adjusts the power module according to the load demand, the power module control module uses the following formula. Each parameter in the formula is defined as follows: The formula for calculating the number of activated power modules is: ; in, is the number of power modules that need to be activated currently. is the redundancy index output by the redundancy calculation module, The maximum number of power modules that can be installed on the power backplane.

[0060] This formula is expressed by the redundancy index To calculate the number of power modules that need to be activated, ensure that the power system dynamically adjusts the number of power modules according to load demand.

[0061] Power module group adjustment formula: When the load demand increases, the power module group control module will increase the number of activated power modules according to the following formula: ; in, is the number of currently activated power modules, The maximum number of power modules supported by the power backplane. The number of power modules that need to be added.

[0062] If the load demand decreases, the power module group control module will reduce the number of power modules according to the following formula: ; in, is the number of power modules that need to be shut down. The number of currently activated power modules.

[0063] The power module control module not only adjusts the number of power modules according to the redundancy index, but also optimizes and adjusts according to the actual working status of the power module. For example, when the load increases, the power module control module can monitor the working efficiency and temperature information of each power module in real time to ensure that the load of each power module does not exceed its maximum load capacity, thereby avoiding overload operation of the power module. Specifically, when the load of the power module is close to its maximum load value, the power module control module will start the backup power module to balance the load and ensure stable operation of the system.

[0064] In some embodiments, the power module control module can also combine the load prediction model to make advance judgments on the activation and shutdown of the power module. For example, if the system predicts a future load increase, the power module control module can activate more power modules in advance to avoid the power module being unable to respond in time when the load surges.

[0065] The optimization of the power module control module not only relies on real-time load data, but also can adjust the number of power modules in combination with load forecast information. The load forecast model predicts the changing trend of future load demand by analyzing historical load data. This prediction capability enables the power module control module to respond to load changes in advance, avoiding the lag of power module activation or shutdown, thereby improving the response speed and stability of the system.

[0066] In some embodiments, the redundancy calculation module and the power module control module can work together to optimize the calculation of redundancy by predicting load fluctuations and ensure that the system can flexibly adjust the number of power modules when the load changes. Specifically, the redundancy calculation module predicts future load trends based on historical load data, and the power module control module adjusts the number of power modules in advance based on this predicted information to ensure that the system always maintains sufficient power supply.

[0067] The power module control module dynamically adjusts the number and working status of power modules to ensure the stable operation of the power system under different load requirements. By collaborating with the redundancy calculation module, the power module control module can accurately adjust the number of activated power modules according to real-time load requirements, avoid redundant power waste, and ensure efficient operation of the system. The module also combines load prediction and power module performance optimization, allowing the system to quickly respond to load changes and ensure continuous and stable power supply.

[0068] Step S4: Working principle and implementation of load data acquisition unit In the adaptive redundant control system of the power backplane, step S4 involves the working principle of the load data acquisition unit. The aforementioned steps S1 (fault detection module), step S2 (redundancy calculation module) and step S3 (power module control module) cooperate with each other to ensure the stable operation of the system when the load fluctuates. The load data acquisition unit monitors the working status of the power module in real time and transmits these key data to subsequent modules to ensure that the system can accurately adjust the allocation of power resources according to the actual load conditions.

[0069] In this embodiment, the load data acquisition unit acquires the working status of the power module in real time, including current, voltage, power and temperature parameters. These collected data will be used as inputs of the redundancy calculation module and the control module to help the system dynamically adjust the number and working status of the power module. Specifically, the load data acquisition unit accurately measures the working current of the power module through the built-in sensor system. ,Voltage ,power ,temperature The key data are transmitted to the control module and the redundancy calculation module through the data acquisition unit.

[0070] Generally speaking, the load data acquisition unit works by acquiring the load data of the power module in real time, including current , Load voltage , Power Output And the operating temperature of the power module As an option, the load data acquisition unit can also periodically obtain the health status data of the power module, such as the working efficiency and working life of the power module. This information helps the power backplane system to further optimize the configuration and regulation of the power module.

[0071] Specifically, the load data acquisition unit collects current in real time through the built-in sensor system. ,Voltage ,power ,temperature and load factor The load data acquisition unit's precise monitoring capability provides reliable data support for the system, ensuring that the power module control module can make accurate responses based on real-time data.

[0072] Power harvesting power The effective power provided to the power module is usually calculated by multiplying the voltage and current: ; in, The power provided by the power module, in watts (W), is the voltage of the power module, in volts (V), It is the current of the power module, in ampere (A).

[0073] Load factor Reflects the ratio of the actual load of the power module to its maximum load capacity, usually calculated by the current and the rated load of the power module.

[0074] formula: ; in, is the load rate of the power module, is the actual working current of the power module, in ampere (A), It is the maximum load current of the power module, in ampere (A).

[0075] The work of the load data acquisition unit is not only to provide real-time monitoring data, it also has certain intelligent analysis functions. In some embodiments, the load data acquisition unit can predict load fluctuations by analyzing historical load data and the working trend of the power module, thereby providing a more accurate basis for subsequent redundancy calculations and power module control modules. Through such predictions, the power module control module can start the backup power module in advance to avoid power shortages when the load fluctuates violently.

[0076] Specifically, the load data acquisition unit can cooperate with the control module and the redundancy calculation module to conduct a comprehensive analysis of the load data. The load data acquisition unit can not only provide real-time data to the redundancy calculation module, but also provide the system with the load change trend in the future through the load prediction model, so as to make an adjustment response in advance. This prediction-based adjustment function can effectively improve the response speed and stability of the power backplane, especially when there are a large number of power modules and large load fluctuations, and can maintain the continuous and stable operation of the system.

[0077] In some embodiments, the load data acquisition unit may also have an alarm and early warning function. When certain key parameters of the power module (such as current, voltage or temperature) exceed a predetermined threshold, the load data acquisition unit will immediately send out an alarm signal to notify the control module or external management system to perform corresponding processing. This function can effectively improve the safety of the power system and avoid system failures caused by overload or overheating.

[0078] The load data acquisition unit plays a vital role in the power backplane adaptive redundant control system. By real-time monitoring of multiple key parameters of the power module, such as operating current, voltage, power, temperature, etc., the load data acquisition unit provides the necessary data support for subsequent redundancy calculation and power module control. Its precise data acquisition capability and intelligent analysis function not only ensure that the system can accurately adjust the number of power modules according to load requirements, but also improve the stability and reliability of the power system. By working in conjunction with other modules, the load data acquisition unit can effectively manage the power resources in the power backplane and ensure that the power system can always operate stably under various load environments.

[0079] Step S5: Working principle and implementation of communication module In the adaptive redundant control system of the power backplane, step S5 involves the working principle of the communication module. The aforementioned steps S1 (fault detection module), step S2 (redundancy calculation module), step S3 (power module control module) and step S4 (load data acquisition unit) together ensure that the power system can be dynamically adjusted according to load changes. The main role of the communication module in this system is to ensure that the real-time status data of the power backplane can be transmitted to the external management system in a timely manner to achieve remote monitoring, fault diagnosis and maintenance. Through the collaboration of the communication module, the external system can comprehensively monitor the performance and status of the power backplane, thereby improving the management efficiency of the power system.

[0080] In this embodiment, the communication module is responsible for uploading the real-time data of the power backplane (including load data, power module status, redundancy index, etc.) to the external management system. The communication module uses wireless or wired communication to ensure the reliability and timeliness of data transmission. Through this communication function, the power backplane can keep in sync with the external system, which facilitates remote operation and diagnosis by operation and maintenance personnel, reducing the complexity and workload of on-site operations.

[0081] Generally, the communication module realizes data exchange by collecting real-time data from the power backplane and transmitting it to the external management system. As an option, the communication module can also send key information such as fault alarm information, redundancy calculation results, and the working status of the power module to the external management system to provide real-time basis for remote diagnosis and operation and maintenance. Through real-time data upload and feedback, the maintenance and management of the power system can be more efficient and accurate.

[0082] Specifically, the communication module can transmit the data collected by the load data acquisition unit, the redundancy index output by the redundancy calculation module, the alarm information of the fault detection module, etc. to the external management system in a timely manner through the connection with the external management system. This information provides real-time feedback for remote operation and maintenance and monitoring, allowing the system to make corresponding adjustments according to the actual operating status. For example, when a power module fails, the communication module can transmit the fault information to the external management system so that timely measures can be taken to avoid system downtime or major failures.

[0083] In one possible implementation, the communication module is not only used for data transmission, but also supports remote configuration. Specifically, the operation and maintenance personnel can remotely adjust the settings of the power backplane and the working status of the power module through the external management system to ensure that the performance of the power backplane is always in the best state. Through this remote configuration function, the operation and maintenance efficiency of the system is significantly improved.

[0084] To ensure that the communication module works effectively in the power backplane system, the communication module in this example uses the following key parameters and formulas. Each parameter in the formula is defined as follows: Communication data transmission formula: ; in, is the amount of data transferred, is the timestamp (indicating the time of data transmission), is the load data, is the working status of the power module. It is the redundancy index output by the redundancy calculation module.

[0085] This formula shows how the communication module generates real-time data to be sent based on different input parameters (such as time, load, power module status, etc.). In this way, the communication module can dynamically adjust the data transmission content according to the status of the power system and ensure that the external management system obtains real-time information.

[0086] In some embodiments, the communication module can be combined with data compression technology to improve the efficiency of data transmission. Through data compression, the communication module can reduce bandwidth consumption when transmitting large amounts of data, thereby increasing transmission speed and reducing latency. In addition, the communication module can also use encryption technology to ensure that the transmitted data is carried out in a secure environment to prevent external interference and data leakage.

[0087] Specifically, the communication module can perform intelligent data selection and transmission based on real-time load data, redundancy indicators, fault alarm information, etc. By analyzing the needs of the external management system, the communication module can selectively send important information without sending a large amount of all data every time, which not only reduces bandwidth usage but also improves the response efficiency of the system.

[0088] In another embodiment, the communication module can support a two-way communication function, not only uploading the status data of the power backplane to the external system, but also receiving instructions sent by the external system. In this way, the power system can be dynamically adjusted according to external commands, such as adjusting redundancy calculation parameters or enabling / disabling certain power modules according to the instructions of the external system, to achieve more flexible system control.

[0089] The communication module plays a vital role in the power backplane adaptive redundant control system. By transmitting the operating data and status information of the power backplane in real time, the communication module ensures the efficient linkage between the power backplane and the external management system. It not only supports data transmission, but also significantly improves the operation and maintenance efficiency of the power system by supporting remote configuration and fault diagnosis. In the process of load data transmission, redundancy adjustment and fault handling, the communication module plays an important bridge role, ensuring that the system can operate efficiently and stably, and can respond in time when problems occur.

[0090] Step S6: Collaborative working principle of remote management system and power backplane In the power backplane adaptive redundant control system, step S6 mainly involves the collaboration between the remote management system and the power backplane. Through the collaboration of the aforementioned steps S1 (fault detection module), step S2 (redundancy calculation module), step S3 (power module control module), step S4 (load data acquisition unit) and step S5 (communication module), the power backplane can dynamically adjust the number and working status of the power modules according to the real-time load data to ensure the stable operation of the system. In step S6, the role of the remote management system is to uniformly monitor and manage all working states of the power backplane, and realize remote diagnosis and maintenance.

[0091] In this embodiment, the remote management system interacts with the data of the power backplane through the communication module to obtain important data such as the working status, fault information, redundancy index, load status, etc. of the power backplane in real time. Through these data, the remote management system can monitor, analyze and make corresponding decisions on the power backplane. Specifically, the remote management system can remotely adjust the working status or configuration of the power module, perform fault diagnosis and provide optimization suggestions.

[0092] Generally, the remote management system is connected to the communication module of the power backplane through a data transmission protocol (such as wireless communication or wired communication) to ensure that data can be transmitted to the management system without delay and achieve real-time monitoring. In some embodiments, the remote management system not only provides remote monitoring functions, but also can analyze the working data of the power backplane to determine whether the system needs to adjust parameters or enable the backup power module. This remote management function can significantly improve the operation and maintenance efficiency of the power system and reduce the complexity of on-site operations.

[0093] Specifically, after receiving the data from the communication module, the remote management system will perform real-time data analysis and evaluate the health status of the power supply system based on the redundancy index of the redundancy calculation module. If the load status of the power supply module is close to the upper limit, the system may issue a warning through the remote management system and start the backup power supply module. As an option, the remote management system can also take corresponding repair measures based on the fault information uploaded by the fault detection module to ensure the continuous operation of the power supply system.

[0094] In one possible implementation, the remote management system can not only receive the real-time status data of the power backplane, but also send instructions to the power backplane for remote configuration and adjustment. For example, the remote management system can optimize the redundancy index by adjusting the configuration of the redundancy calculation module, or adjust the number of enabled power modules based on the output of the load prediction model. This two-way control mechanism allows the power backplane to be adjusted more flexibly according to external needs.

[0095] Data transfer formula: ; in, is the amount of data sent, is the timestamp (the time of data transmission), is load data (real-time load information), The working status of the power module (the operating status information of the power module), is the redundancy index of the redundancy calculation module, Fault data uploaded by the fault detection module.

[0096] Remote adjustment command formula: ; in, is the new configuration value after remote adjustment. is the redundancy index, is the current load data, is the current working state of the power module. This formula indicates how the remote management system adjusts the working configuration of the power module based on the redundancy index, load data and the power module state.

[0097] The role of the remote management system in the power backplane adaptive redundant control system cannot be ignored. Through real-time monitoring and remote control, the remote management system can respond promptly to potential problems in the power system to prevent the problem from expanding into a major failure. In some embodiments, the remote management system can proactively adjust based on historical data and load prediction models. Specifically, the remote management system not only relies on real-time data, but can also adjust the configuration of the power module in advance based on the load prediction model to ensure that the system can quickly adapt when the load fluctuates.

[0098] As an option, the remote management system can also perform self-learning and continuously optimize the control strategy of the power module based on historical operation data and performance trends of the power module. For example, the remote management system can learn the optimal power module configuration under different load modes, thereby realizing automated load management and system optimization.

[0099] Specifically, the remote management system monitors the status of the power backplane, provides real-time feedback and makes decisions based on the data. If the load of the power module is close to the limit, the system can automatically enable the backup power module or adjust the redundancy setting to prevent power shortage or overload problems caused by load fluctuations. This technology not only improves the response speed of the power system, but also enables flexible configuration and adjustment according to external needs.

[0100] The remote management system in step S6 provides powerful monitoring and management capabilities for the power backplane adaptive redundant control system. By receiving the status data of the power backplane in real time, the remote management system can respond quickly and remotely control and optimize the power backplane. The system can not only perform fault diagnosis and repair, but also provide accurate adjustment strategies when the load changes. Through remote management, the power backplane can flexibly adapt to different load environments to ensure the efficient, safe and stable operation of the power system.

[0101] Step S7: Fault recovery and system optimization In the power backplane adaptive redundant control system, step S7 involves the key process of fault recovery and system optimization. Combined with the aforementioned steps S1 (fault detection module), S2 (redundancy calculation module), S3 (power module control module), S4 (load data acquisition unit), S5 (communication module) and S6 (remote management system), these modules work together to ensure that the system can respond to faults in a timely manner, optimize power configuration, and return to a stable working state. The process of fault recovery and system optimization not only includes repairing the current fault, but also involves the dynamic adjustment of system parameters to ensure that the power backplane maintains high performance under various operating environments.

[0102] In this embodiment, the fault recovery process is implemented through the system's automated monitoring and intelligent decision-making mechanism. First, when the fault detection module detects that the power module has a fault, the system will start the fault recovery mechanism, which includes switching to the backup power module, adjusting the redundancy configuration, and other measures. The power module control module automatically enables the backup module based on the output result of the redundancy calculation module, and reports the fault to the remote management system through the communication module. After receiving the information, the remote management system will further adjust the system configuration through appropriate control commands to ensure the continuous and stable operation of the power system.

[0103] In general, the fault recovery mechanism relies on real-time monitoring of the load data acquisition unit to ensure that the backup module can quickly intervene and maintain the stability of the system load when a fault occurs. As an option, the fault recovery mechanism can respond in advance based on the health status prediction model of the power module. Specifically, the redundancy calculation module determines whether the backup power module needs to be started based on the current load and the redundancy level of the power module. When the system detects a fault in a power module, the change in the redundancy level will trigger the activation of the backup power module and restore the redundancy of the power system.

[0104] In one possible implementation, fault recovery is not just a simple module switching process, but a more complex optimization process. Optimization is not only reflected in the speed of restoring system operation, but also includes adjusting the load distribution of the power module to further optimize the operating efficiency of the entire system. For example, after a fault occurs, the system may not only restore the basic power supply, but also readjust the working state of the power module according to the load conditions to reduce energy consumption and improve system efficiency.

[0105] Redundancy recovery formula: ; in, is the redundancy level after failure recovery, is the current redundancy level, is the load data, It is the fault information detected by the fault detection module. Represents a function.

[0106] This formula is used to describe the redundancy recovery process, and calculates the new redundancy level based on the current redundancy, real-time load data, and fault information. By adjusting the redundancy, the system can ensure stable power supply of the power module during the fault recovery process.

[0107] Load distribution optimization formula: ; in, For optimized load distribution, is the current load distribution, is the redundancy level after recovery, is the working status of the power module. Functions for optimizing system load distribution.

[0108] This formula shows how the system optimizes load distribution based on the new redundancy level and the working status of the power modules after fault recovery, thereby improving system efficiency.

[0109] In some embodiments, the fault recovery and optimization process not only relies on real-time data detection, but also combines the analysis and prediction of historical data. By learning from historical fault events, the system can predict possible fault points in advance and make preventive adjustments through redundant configuration. For example, by analyzing the long-term load conditions of the power module, the system can adjust the redundancy of the power module in advance when the load fluctuates greatly, avoiding delays in the system recovery process when a fault occurs.

[0110] As an option, the fault recovery and optimization process can also be linked with external environmental data (such as temperature, humidity, etc.) to ensure that the system can make timely adjustments when environmental factors change. For example, when the ambient temperature rises, the workload of the power module may be affected, and the system can adjust the module's load distribution in advance to avoid overload.

[0111] Specifically, the fault recovery system not only operates after a fault occurs, but also optimizes the performance of the power system by dynamically adjusting the load distribution during system operation. When the load fluctuates greatly, the system can intelligently adjust the redundancy and reasonably distribute the load to ensure that the power backplane can operate stably and efficiently under different load conditions.

[0112] The fault recovery and system optimization functions in step S7 play a key role in the power backplane adaptive redundancy control system. Through intelligent decision-making and redundancy management based on real-time monitoring data, the system can quickly recover when a fault occurs, ensuring the continuous and stable operation of the power backplane. In addition, by optimizing load distribution and redundancy settings, the system not only restores power supply, but also improves the overall efficiency of the system. This process reduces the system downtime when a fault occurs through intelligent adjustment and optimization, and ensures the adaptability and efficiency of the power backplane under various load environments.

[0113] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An adaptive redundant control scalable power backplane, characterized in that: It comprises a backplane body (1), wherein a plurality of mounting holes (2) are penetrated inside the backplane body (1), and the backplane body (1) comprises a redundant control system, wherein the redundant control system comprises: A fault detection module is used to monitor the load data on the power backplane in real time and detect whether a fault occurs; A redundancy calculation module, used to calculate redundancy indicators based on real-time load data; A power module control module, used to adjust the working state of the power module according to the redundancy index output by the redundancy calculation module to ensure the stability of the system power supply; The power module is installed on the power backplane through a detachable connection; Load data acquisition unit, used to obtain the working status information of the power module in real time, including load, voltage and current parameters; The control module is responsible for monitoring the load data and adjusting the working status of the power module according to the redundancy index; The communication module is used to exchange data with the external management system and transmit real-time load data, redundancy indicators and working status information of the power module for remote monitoring and management.

2. The scalable power backplane with adaptive redundant control according to claim 1, characterized in that: The power modules are installed on the power backplane in a detachable connection form, and the power backplane can dynamically increase or decrease the number of power modules according to load requirements.

3. The scalable power backplane with adaptive redundant control according to claim 1, characterized in that: The redundancy calculation module calculates a redundancy index based on real-time load data. The redundancy index is used to determine the number of activations of the required power modules so as to reasonably allocate power resources to avoid waste of redundant power or power shortage.

4. The scalable power backplane with adaptive redundant control according to claim 1, characterized in that: The power module of the power backplane has an input end and an output end, which are connected through a physical interface. The number of power modules can be flexibly adjusted according to load requirements.

5. The scalable power backplane with adaptive redundant control according to claim 1, characterized in that: The power module can be freely installed or disassembled according to different usage requirements to provide higher system scalability.

6. The scalable power backplane with adaptive redundant control according to claim 1, characterized in that: The fault detection module is used to detect the fault of the power module in real time. When a fault is detected, the backup power module is automatically activated to ensure the stability of the power system, and the power module is quickly switched through the control module to avoid power interruption.

7. The scalable power backplane with adaptive redundant control according to claim 1, characterized in that: The control module monitors the load data in real time, uses a machine learning algorithm to model the load data, and dynamically adjusts the redundancy index based on the prediction results, thereby intelligently adjusting the working state of the power module.

8. The expandable power backplane with adaptive redundant control according to claim 1, characterized in that: The communication module is used to exchange data with an external management system and transmit real-time load data and redundancy indicators for remote monitoring and management.

9. The expandable power backplane with adaptive redundant control according to claim 1, characterized in that: The communication module is connected to the external management system by wireless communication, ensuring that the power backplane can stably exchange data with the external management system under different working environments, and supporting remote diagnosis and maintenance.

10. The expandable power backplane with adaptive redundant control according to claim 1, characterized in that: The backplane implements adaptive redundancy control by monitoring the load status, automatically adjusting the number of redundant power modules to meet the needs of different system loads, and ensuring stable power supply when the load changes.

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