High-reliability emergency power supply control method and system based on multi-level control integration

Abstract

The invention relates to the field of emergency power supply control, and discloses a high-reliability emergency power supply control method and system based on multi-level control integration, and the method comprises the steps: obtaining the basic required redundancy number of an emergency power supply; when the load change rate is smaller than a load change rate threshold value and the current load rate is larger than or equal to a high load rate threshold value, a preset redundancy number is added to the basic required redundancy number, and the required redundancy number for correction is obtained; when the load change rate is smaller than a low load rate threshold value, reducing a preset redundancy number for the basic required redundancy number to obtain a required redundancy number for correction; when the load change rate is larger than or equal to the low load rate threshold value and smaller than the high load rate threshold value, the basic needed redundancy number serves as the correction needed redundancy number; and when the number of the redundancy required for correction is smaller than the number of the available redundancy modules, starting the redundancy modules. According to the invention, the problem of redundancy adaptation under the dynamic load of the high-reliability emergency power supply can be solved.

Description

Technical Field

[0001] This application relates to the field of emergency power supply control technology, and more specifically, to a highly reliable emergency power supply control method and system based on multi-level control integration. Background Technology

[0002] Existing high-reliability emergency power supplies employ an N+1 redundancy architecture. This architecture consists of N working modules and one backup module. The redundant modules maintain a constant hot backup state, enabling rapid failover in the event of a working module failure, thus ensuring continuous power supply to the emergency power system. This fixed redundancy architecture, with its simple structure and clear failover logic, is widely used in various scenarios with fundamental requirements for power supply reliability. Its core design principle focuses on achieving basic fault redundancy protection through a fixed redundancy configuration.

[0003] In practical operation, existing fixed N+1 redundancy architectures suffer from several drawbacks. When the system load rate remains below 50% for an extended period, the backup redundant modules must continue operating in a hot standby state, unable to adjust their operating mode according to load conditions. This results in a double waste of power and equipment resources. For example, in an industrial emergency power supply application, the annual operating cost of the redundant modules accounts for 15% of the total annual operating cost of the power system. Furthermore, when a sudden increase in load occurs (such as the simultaneous activation of multiple large medical devices in a hospital operating room) or the load change rate exceeds 20% / min, the fixed number of redundant modules cannot respond to load demands in a timely manner, causing the redundancy protection function to fail and directly leading to a decrease in the overall availability of the emergency power supply. The inability of existing technologies to solve the problem of redundancy adaptation under dynamic loads has become a key bottleneck restricting the improvement of power supply availability in high-reliability emergency power supplies. Summary of the Invention

[0004] The purpose of this application is to provide a highly reliable emergency power supply control method and system based on multi-level control integration, which solves the technical problem of the inability to solve the redundancy adaptation problem under dynamic loads, and achieves the technical effect of solving the redundancy adaptation problem under dynamic loads.

[0005] This application provides a high-reliability emergency power supply control method based on multi-level control integration. The method includes: acquiring the operating status data of the emergency power supply's working modules and the load data of the emergency power supply; determining a load change rate threshold, a high load rate threshold, and a low load rate threshold based on the operating status data of the emergency power supply's working modules; wherein, the operating status data of the working modules includes the output voltage, output current, and operating temperature of the working modules, and the load data includes the current load rate and the load change rate; acquiring the basic redundancy required by the emergency power supply; when the load change rate is less than the load change rate threshold and the current load rate is greater than or equal to the high load rate threshold, increasing the basic redundancy required by the preset redundancy amount to obtain the corrected redundancy amount; when the load change rate is less than the low load rate threshold, increasing the basic redundancy required by the preset redundancy amount to obtain the corrected redundancy amount; when the load change rate is less than the low load rate threshold, increasing the basic redundancy required by the preset redundancy amount to obtain the corrected redundancy amount. The remaining quantity is reduced by the preset redundancy quantity to obtain the corrected redundancy quantity. When the load change rate is greater than or equal to the low load rate threshold and less than the high load rate threshold, the basic required redundancy quantity is used as the corrected redundancy quantity. The load change rate threshold is 20% / min, the high load rate threshold is 80%, and the low load rate threshold is 50%. The current operating status and operating status conditions of the redundant modules in the emergency power supply are obtained. When the current operating status of the available redundant modules meets the operating status conditions, the redundant modules are determined to be available redundant modules. The number of available redundant modules is determined as the available redundant module quantity. When the corrected redundancy quantity is less than the available redundant module quantity, the redundant modules are activated. When the corrected redundancy quantity is greater than or equal to the available redundant module quantity, an emergency alarm is issued and the power supply is switched to the backup emergency power supply.

[0006] In one possible implementation, the method further includes: when the load change rate is greater than or equal to a load change rate threshold, acquiring the operating status data of the emergency power supply's working modules and the load data of the emergency power supply; and determining the basic redundancy required for the emergency power supply based on the load change rate, the operating status data of the emergency power supply's working modules, and the load data of the emergency power supply.

[0007] In another possible implementation, the method further includes: obtaining the operating temperature and rated load of multiple redundant modules; determining the operating temperature score and rated load score of multiple redundant modules based on their operating temperatures and rated loads; obtaining the operating temperature weight and rated load weight of the redundant modules; wherein, the lower the operating temperature of the redundant module, the higher the operating temperature score; and the higher the rated load of the redundant module, the higher the rated load score; determining the sum of the product of the operating temperature score and operating temperature weight, and the product of the rated load score and rated load weight, as the redundant module score; and when the number of redundant modules required for correction is less than the number of available redundant modules, activating the required number of redundant modules in descending order of their redundant module scores.

[0008] In another possible implementation, the method further includes determining the operating temperature weight and rated load weight of the redundant modules based on the load change rate, the operating status data of the emergency power supply's working modules, and the load data of the emergency power supply.

[0009] In another possible implementation, the method further includes: acquiring output voltage variance data, cumulative runtime data, and most recent maintenance level data from multiple redundant modules; normalizing the output voltage variance data, cumulative runtime data, and most recent maintenance level data to output voltage variance score, cumulative runtime score, and most recent maintenance level score; acquiring voltage stability weight, cumulative runtime weight, and maintenance level weight; wherein, the multi-dimensional health status data includes a single health status score ranging from 0 to 10; and determining the output voltage variance score and voltage stability score through a weighted fusion algorithm of the redundancy control layer. The comprehensive health score is calculated by multiplying the qualitative weights, the cumulative runtime score and the cumulative runtime weight, and the most recent maintenance level score and the maintenance level weight. The comprehensive health score weight is then obtained. The redundancy module score is calculated by multiplying the redundancy module operating temperature score and its weight, the redundancy module rated load score and its weight, and the comprehensive health score and its weight. When the required number of redundant modules is less than the number of available redundant modules, the required number of redundant modules are activated in descending order of their redundancy scores.

[0010] In another possible implementation, the method further includes: after enabling the first redundant module, obtaining the fluctuation value of the output voltage of the redundant module and the increase of the output current of the redundant module; when the fluctuation value of the output voltage of the first redundant module is greater than or equal to 5%, or the increase of the output current of the redundant module is greater than or equal to 20%, triggering a secondary switch through the redundancy control layer to switch the first redundant module to a second redundant module with a redundancy module score lower than that of the first redundant module.

[0011] In another possible implementation, the method further includes: when the redundant module is enabled, obtaining the predicted duration of the current operating condition; and determining the weights of the operating temperature, rated load, and comprehensive health score based on the predicted duration of the operating condition.

[0012] In another possible implementation, the method further includes: when the predicted operating condition duration is less than the preset predicted operating condition duration, determining the operating temperature weight, rated load weight, and comprehensive health score weight as a first weighting set; when the predicted operating condition duration is greater than or equal to the preset predicted operating condition duration, determining the operating temperature weight, rated load weight, and comprehensive health score weight as a second weighting set; wherein, the operating temperature weight in the first weighting set is less than the operating temperature weight in the second weighting set, the rated load weight in the first weighting set is greater than the rated load weight in the second weighting set, and the comprehensive health score weight in the first weighting set is less than the comprehensive health score weight in the second weighting set.

[0013] In another possible implementation, load change rate threshold, high load rate threshold, and low load rate threshold are determined based on the operating status data of the emergency power supply's working modules. This includes: acquiring historical operating status data and historical fault information of the emergency power supply modules; determining a module status-load threshold association rule base based on the historical operating status data and historical fault information; and determining the load change rate threshold, high load rate threshold, and low load rate threshold based on the operating status data of the working modules and the module status-load threshold association rule base.

[0014] This application also provides a high-reliability emergency power supply control system based on multi-level control integration, including a unit for implementing the above-described high-reliability emergency power supply control method based on multi-level control integration.

[0015] The beneficial effects of the embodiments in this application compared with the prior art are: This application provides a high-reliability emergency power supply control method based on multi-level control integration. The method includes: obtaining the basic required redundancy quantity of the emergency power supply; when the load change rate is less than the load change rate threshold and the current load rate is greater than or equal to the high load rate threshold, increasing the basic required redundancy quantity by a preset redundancy quantity to obtain the corrected required redundancy quantity; when the load change rate is less than the low load rate threshold, decreasing the basic required redundancy quantity by the preset redundancy quantity to obtain the corrected required redundancy quantity; when the load change rate is greater than or equal to the low load rate threshold and less than the high load rate threshold, using the basic required redundancy quantity as the corrected required redundancy quantity; when the corrected required redundancy quantity is less than the number of available redundant modules, enabling the redundant modules; when the corrected required redundancy quantity is greater than or equal to the number of available redundant modules, issuing an emergency alarm and switching to backup emergency power supply. The method in this application obtains the operating status data and load data of the working modules, sets load-related thresholds based on the operating status data, and dynamically adjusts the required redundancy quantity in conjunction with real-time load parameters. This ensures that the redundancy configuration accurately matches the actual load situation, guaranteeing power supply capacity under high load or sudden load changes, while streamlining redundancy under low load, achieving precise adaptation to different load states. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, 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 this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart illustrating the first highly reliable emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 2 A schematic diagram illustrating the workflow of the first high-reliability emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 3 A flowchart illustrating a second highly reliable emergency power supply control method based on multi-level control integration, provided in an embodiment of this application; Figure 4 A schematic diagram illustrating the workflow of the second highly reliable emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 5 A flowchart illustrating the third highly reliable emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 6A schematic diagram illustrating the workflow of the third high-reliability emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 7 A flowchart illustrating the fourth highly reliable emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 8 A schematic diagram illustrating the workflow of the fourth high-reliability emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 9 A flowchart illustrating the fifth highly reliable emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 10 A flowchart illustrating the sixth highly reliable emergency power supply control method based on multi-level control integration provided in this application embodiment; Figure 11 This is a schematic diagram of the logic structure of a high-reliability emergency power supply control system based on multi-level control integration, provided as an embodiment of this application. Detailed Implementation

[0018] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0019] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0020] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0021] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0022] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0023] Existing technologies cannot solve the problem of redundancy adaptation under dynamic loads, which has become a key bottleneck restricting the improvement of power supply availability of high-reliability emergency power supplies.

[0024] Based on the above reasons, this application provides a high-reliability emergency power supply control method based on multi-level control integration. The method includes: acquiring the operating status data of the emergency power supply's working modules and the load data of the emergency power supply; determining a load change rate threshold, a high load rate threshold, and a low load rate threshold based on the operating status data of the emergency power supply's working modules; acquiring the basic required redundancy quantity of the emergency power supply; when the load change rate is less than the load change rate threshold and the current load rate is greater than or equal to the high load rate threshold, increasing the basic required redundancy quantity by a preset redundancy quantity to obtain a corrected required redundancy quantity; when the load change rate is less than the low load rate threshold, decreasing the basic required redundancy quantity by a preset redundancy quantity to obtain a corrected required redundancy quantity; when the load change rate is greater than or equal to the low load rate threshold and less than the high load rate threshold, using the basic required redundancy quantity as the corrected required redundancy quantity; when the current operating status of an available redundant module meets the operating status conditions, determining the redundant module as a usable redundant module; determining the number of usable redundant modules as the number of usable redundant modules; when the corrected required redundancy quantity is less than the number of usable redundant modules, enabling the redundant modules; when the corrected required redundancy quantity is greater than or equal to the number of usable redundant modules, issuing an emergency alarm and switching to backup emergency power supply. The method in this embodiment obtains the operating status data and load data of the working module, sets load-related thresholds based on the operating status data, and then dynamically adjusts the required amount of redundancy in combination with real-time load parameters. This ensures that the redundancy configuration is precisely matched with the actual load situation, guaranteeing power supply capacity under high load or sudden load changes, and simplifying redundancy under low load, thus achieving precise adaptation to different load states.

[0025] In some scenarios, the high-reliability emergency power supply control method based on multi-level control integration of this application embodiment can be applied to scenarios such as data centers and hospitals that require high-reliability emergency power supplies, thereby improving the power supply stability of high-reliability emergency power supplies and enhancing the effectiveness of high-reliability emergency power supplies in data centers and hospitals.

[0026] The following describes in detail, with specific examples, a high-reliability emergency power supply control method based on multi-level control integration provided in the embodiments of this application.

[0027] Figure 1 A flowchart illustrating the first high-reliability emergency power supply control method based on multi-level control integration provided in this application embodiment is shown below. Figure 1 As shown in the embodiment of this application, a high-reliability emergency power supply control method based on multi-level control integration is provided, including S110 to S130. S110 to S130 will be described in detail below.

[0028] S110. Obtain the operating status data of the emergency power supply's working modules and the load data of the emergency power supply. Based on the operating status data of the emergency power supply's working modules, determine the load change rate threshold, high load rate threshold, and low load rate threshold. The operating status data of the working modules includes the output voltage, output current, and operating temperature of the working modules; the load data includes the current load rate and load change rate.

[0029] Figure 2 A schematic diagram of the workflow of the first high-reliability emergency power supply control method based on multi-level control integration provided in the embodiments of this application is shown below. Figure 2 As shown, in this implementation, the operating status data of the emergency power supply's working modules and the load data of the emergency power supply can be obtained. The operating status data of the working modules reflects the module's own working status; the load data reflects the real-time load demand, providing a basis for subsequent threshold determination and redundancy adjustment.

[0030] For example, the working module of a certain emergency power supply has an output voltage of 220V DC, an output current of 10A, and an operating temperature of 45℃; the load data shows a current load rate of 75% and a load change rate of 15% / min, which comprehensively reflects the status of the equipment and the load.

[0031] In this implementation, the load change rate threshold, high load rate threshold, and low load rate threshold can be determined based on the operating status data of the emergency power supply's working modules. Specifically, the thresholds can be determined based on the module's performance limits and operational stability requirements, taking into account the working module's status. For example, when the module temperature is high, the load change rate threshold can be appropriately lowered to avoid overload.

[0032] It should be noted that the threshold can be determined through an empirical value table: the empirical value table stores the threshold corresponding to different module temperatures. When the module temperature is 40-50℃, the load change rate threshold is 20% / min, the high load rate is 80%, and the low load rate is 50%; when the temperature exceeds 50℃, the load change rate threshold is adjusted to 15% / min, the high load rate is 75%, and the low load rate is 45%, so that the threshold fits the actual state of the module.

[0033] In this implementation, the operating status data of the working module includes the output voltage, output current and operating temperature of the working module, and the load data includes the current load rate and the load change rate.

[0034] In this implementation, the output voltage in the operating status data of the working module reflects the stability of the power supply, the output current reflects the load carrying capacity, and the operating temperature affects the lifespan of the module.

[0035] In this implementation, the load data can be the current load rate, which is the ratio of the actual load to the rated load (reflecting the load intensity), and the load change rate, which is the change in load rate per unit time (reflecting how fast the load changes).

[0036] S120. Obtain the basic redundancy required for the emergency power supply. When the load change rate is less than the load change rate threshold, or the current load rate is greater than or equal to the high load rate threshold, increase the basic redundancy required by a preset redundancy amount to obtain the corrected redundancy required by the power supply. When the load change rate is less than the low load rate threshold, decrease the basic redundancy required by the preset redundancy amount to obtain the corrected redundancy required by the power supply. When the load change rate is greater than or equal to the low load rate threshold but less than the high load rate threshold, use the basic redundancy required by the power supply as the corrected redundancy required by the power supply. The load change rate threshold is 20% / min, the high load rate threshold is 80%, and the low load rate threshold is 50%.

[0037] In this implementation, the basic redundancy required for the emergency power supply can be obtained.

[0038] For example, basic redundancy can be preset according to the rated capacity of the emergency power supply, the load type, and industry standards. For instance, for a 100kW emergency power supply (load is a data center server), basic redundancy is set to 2 modules to ensure basic redundancy capability.

[0039] In this implementation, when the load change rate is less than the load change rate threshold and the current load rate is greater than or equal to the high load rate threshold, a preset redundancy amount can be added to the basic redundancy requirement to obtain the corrected redundancy requirement. This situation is characterized by "high load and slow change," requiring additional redundancy to cope with sustained high load. For example, if the basic redundancy requirement is 2, the preset redundancy amount is 1, and the corrected redundancy requirement is 3, it can improve the load-bearing capacity.

[0040] In this implementation, when the load change rate is less than the low load rate threshold, the required redundancy for the basic load is reduced by the preset redundancy to obtain the corrected redundancy. This situation is characterized by "low load and slow change," and reducing redundancy avoids resource waste. For example, if the required redundancy for the basic load is 2, the preset redundancy is 1, and the corrected redundancy is 1, the requirements are met while energy consumption is reduced.

[0041] In this implementation, when the load change rate is greater than or equal to the low load rate threshold but less than the high load rate threshold, the basic redundancy requirement is used as the correction redundancy requirement. When the load change is moderate, the basic redundancy remains unchanged, balancing redundancy protection and resource utilization. For example, if the basic redundancy requirement is 2, the correction redundancy requirement will still be 2.

[0042] In this implementation, the load change rate threshold is 20% / min, the high load rate threshold is 80%, and the low load rate threshold is 50%. A load change rate ≤20% / min is considered "slow change", a current load rate ≥80% is considered "high load", and a current load rate ≤50% is considered "low load".

[0043] For example, a load change rate of 18% / min (<20% / min) and a current load rate of 85% (≥80%) meet the conditions for increasing redundancy; a load change rate of 10% / min (<20% / min) and a current load rate of 45% (<50%) meet the conditions for reducing redundancy.

[0044] S130. Obtain the current operating status and operating status conditions of the redundant modules in the emergency power supply. When the current operating status of an available redundant module meets the operating status conditions, determine that the redundant module is a usable redundant module. Determine the number of usable redundant modules as the available redundant module quantity. When the required redundancy quantity for correction is less than the available redundant module quantity, activate the redundant modules. When the required redundancy quantity for correction is greater than or equal to the available redundant module quantity, issue an emergency alarm and switch to the backup emergency power supply.

[0045] In this implementation, the current operating status and operating status conditions of the redundant modules in the emergency power supply can be obtained. The status of the redundant modules (such as whether they are in standby mode, whether they are faulty, and whether the output voltage is within the allowable range) can be collected, and the operating status conditions (such as standby mode, no fault, and output voltage 210-230V) can be specified.

[0046] For example, a redundant module is in standby mode, has no faults, and outputs 225V, which meets the requirements; however, if the module has an over-temperature fault, it will not meet the operating conditions even in standby mode.

[0047] In this implementation, when the current operating status of the redundant module meets the operating status conditions, the redundant module is determined to be a usable redundant module. Only modules that fully meet the conditions are determined to be usable, thus avoiding the inclusion of faulty or abnormal modules in the usable quantity and ensuring the reliability of redundancy.

[0048] In this implementation, the number of available redundant modules can be determined. Specifically, this can be achieved by counting the number of redundant modules that meet the conditions. For example, if 3 out of 5 redundant modules meet the conditions, the number available is 3, which accurately reflects the available redundant resources.

[0049] In this implementation, when the required number of redundant modules for correction is less than the number of available redundant modules, the corresponding number of modules can be activated. For example, if correction requires 3 modules but 5 are available, only 3 modules can be activated, satisfying the requirement without wasting resources.

[0050] In this implementation, when the required redundancy quantity for correction is greater than or equal to the number of available redundant modules, an emergency alarm is issued and the system switches to the backup emergency power supply. If redundancy is insufficient, an alarm is promptly triggered and the backup power supply is switched to prevent power outages. For example, if correction requires 4 modules and 3 are available, an alarm can be triggered immediately and the backup power supply switched to ensure continuous power supply to the load.

[0051] This implementation method acquires the operating status data and load data of the emergency power supply's working modules. Based on the operating status data, it determines the load change rate threshold, high load rate threshold, and low load rate threshold. According to the load parameters, it determines the required number of redundancies. At the same time, it acquires the status of redundant modules to determine the available number. When the number is insufficient, it alarms and switches to the backup power supply. This can promptly supplement or switch power supply resources, significantly reducing the risk of power outages and improving the reliability of emergency power supply. It also avoids the waste of resources caused by the continuous operation of redundant modules, allowing redundant resources to be deployed on demand and improving the utilization efficiency of redundant resources.

[0052] This implementation method obtains the operating status data and load data of the working module, sets load-related thresholds based on the operating status data, and then dynamically adjusts the required amount of redundancy in combination with real-time load parameters. This ensures that the redundancy configuration is precisely matched with the actual load situation, guaranteeing power supply capacity under high load or sudden load changes, while simplifying redundancy under low load, thus achieving precise adaptation to different load states.

[0053] Figure 3 A flowchart illustrating the second highly reliable emergency power supply control method based on multi-level control integration provided in this application embodiment is shown below. Figure 3 As shown, in some implementations, the above method also includes S140 to S150, which will be described in detail below.

[0054] S140. When the load change rate is greater than or equal to the load change rate threshold, acquire the operating status data of the emergency power supply's working module and the load data of the emergency power supply.

[0055] Figure 4 A schematic diagram of the workflow of the second high-reliability emergency power supply control method based on multi-level control integration provided in the embodiments of this application is shown below. Figure 4 As shown in this implementation, when the load change rate reaches or exceeds a preset load change rate threshold of 20% / min, the operating status data and load data of the emergency power supply's working modules can be re-collected. The operating status data of the working modules includes output voltage, output current, and operating temperature, while the load data includes the current load rate and load change rate. This data reflects the impact of sudden load changes on the emergency power supply, providing the latest basis for subsequent adjustments to the basic redundancy quantity.

[0056] It should be noted that situations where the load change rate is greater than or equal to the threshold typically occur in scenarios with rapid load fluctuations. For example, if a data center suddenly starts 10 high-power servers, causing the load to rise from 45% to 70% within one minute, the load change rate reaches 25% / min, exceeding the threshold of 20% / min. In this case, a data re-acquisition operation needs to be triggered.

[0057] S150. Based on the load change rate, the operating status data of the emergency power supply's working modules, and the load data of the emergency power supply, determine the basic redundancy required for the emergency power supply.

[0058] In this implementation, the basic redundancy required for the emergency power supply can be calculated by combining the collected load change rate, working module operating status data, and load data. The basic redundancy required is the initial basis for subsequent adjustments to the redundancy. The accuracy of this calculation must be ensured by comprehensively considering drastic load changes and the current status of the working modules.

[0059] It should be noted that the required amount of redundancy can be determined by a pre-built empirical value table, which stores the amount of redundancy corresponding to different combinations of load change rates, working module states, and load data.

[0060] For example, when the load change rate is 23% / min, the working module output voltage is 228V, the output current is 83% of the rated value, the operating temperature is 51℃, and the current load rate is 69%, the corresponding basic redundancy required in the empirical value table is 2 units, and the required redundancy of the basic can be directly taken.

[0061] This implementation method acquires the operating status data and load data of the emergency power supply's working modules, determines the required redundancy quantity based on the basic redundancy quantity, and activates redundant modules or switches power supply. When the load change rate is greater than or equal to the load change rate threshold, the above data is acquired again and the basic redundancy quantity is determined, so that the redundancy quantity can adapt to drastic load changes and improve the accuracy of determination; it is also specifically adapted to different load change scenarios to enhance the adaptability of emergency response.

[0062] This implementation method can redetermine the required amount of basic redundancy under high load change rates, which may deviate from reality. It provides an accurate basis for subsequent corrections and redundancy configurations, reduces insufficient or wasted redundancy, lowers the risk of power outages, and improves power supply reliability.

[0063] Figure 5 A flowchart illustrating the third high-reliability emergency power supply control method based on multi-level control integration provided in this application embodiment is shown below. Figure 5 As shown, in some implementations, the above method also includes S210 to S220, which will be described in detail below.

[0064] S210. Obtain the operating temperature and rated load of multiple redundant modules. Based on the operating temperature and rated load of the multiple redundant modules, determine the operating temperature score and rated load score of the multiple redundant modules. Obtain the operating temperature weight and rated load weight of the redundant modules. Specifically, the lower the operating temperature of the redundant module, the higher the operating temperature score. The higher the rated load of the redundant module, the higher the rated load score.

[0065] Figure 6 A schematic diagram of the workflow of the third high-reliability emergency power supply control method based on multi-level control integration provided in the embodiments of this application is shown below. Figure 6 As shown, in this implementation, the real-time operating temperature and rated load of multiple redundant modules in the emergency power system can be collected. The real-time operating temperature of the redundant modules reflects the thermal operating status of the modules, and the rated load of the redundant modules reflects the maximum load capacity that the modules can stably bear for a long time during the design. These parameters are the basic inputs for subsequent evaluation of the performance of the redundant modules.

[0066] It should be noted that the operating temperature of the redundant module is the real-time temperature of the key components inside the module (such as power transistors and capacitors), which can be detected by the temperature sensor (such as an NTC thermistor) built into the module; the rated load of the redundant module is the maximum load value specified in the module's hardware specifications, which is determined by the module's circuit design, heat dissipation capacity, etc.

[0067] For example, a data center emergency power supply system is configured with three redundant modules: Module A has a tested operating temperature of 40℃ and a rated load of 10kW; Module B has an operating temperature of 35℃ and a rated load of 12kW; Module C has an operating temperature of 45℃ and a rated load of 8kW. These data can be read directly through the module's communication interface (such as RS485).

[0068] In this implementation, based on the collected operating temperature and rated load of the redundant modules, the physical parameters can be converted into comparable performance scores through preset quantification rules, and "temperature level" and "load size" can be converted into intuitive "score values" to facilitate subsequent comprehensive evaluation.

[0069] It should be noted that the score can be determined through an empirical value table, which pre-sets scores for different operating temperature ranges and different rated load ranges. For example, the score increases by 1 point for every 5°C decrease in operating temperature; and by 1 point for every 2kW increase in rated load, thus reflecting the correlation between parameters and performance.

[0070] For example, in a certain empirical value table: operating temperature 30-35℃ corresponds to 9 points, 35-40℃ corresponds to 8 points, and 40-45℃ corresponds to 7 points; rated load 10-12kW corresponds to 9 points, 8-10kW corresponds to 8 points, and 6-8kW corresponds to 7 points. Based on this, Module A (40℃, 10kW) scores 8 points for operating temperature and 9 points for rated load; Module B (35℃, 12kW) scores 9 points for both operating temperature and rated load; and Module C (45℃, 8kW) scores 7 points for operating temperature and 8 points for rated load.

[0071] It should be noted that the lower the operating temperature, the lower the risk of thermal degradation of the module and the better its thermal stability, thus resulting in a higher score; the larger the rated load, the more load margin the module can bear and the stronger its load-bearing capacity, thus resulting in a higher score.

[0072] In this implementation, a pre-set operating temperature weight and rated load weight can be obtained. The operating temperature weight is used to measure the importance of "thermal stability" in the module performance, and the rated load weight is used to measure the importance of "load capacity".

[0073] It should be noted that the values ​​of operating temperature weight and rated load weight can be adjusted according to the application scenario of the emergency power supply. For example, in high-temperature environments (such as industrial workshops), thermal stability has a greater impact on module lifespan, so the operating temperature weight can be set to 0.6 and the rated load weight to 0.4; in heavy-load scenarios (such as large units), load-bearing capacity is more critical, so the rated load weight can be set to 0.6 and the operating temperature weight to 0.4.

[0074] For example, for a data center emergency power system, due to the high temperature in the computer room (28℃ year-round), the operating temperature weight is set to 0.6 and the rated load weight is set to 0.4; for an industrial emergency power system, due to large load fluctuations (peak load is 1.2 times the rated value), the rated load weight is set to 0.6 and the operating temperature weight is set to 0.4.

[0075] S220. Determine the sum of the products of the redundant module operating temperature score and operating temperature weight, and the products of the redundant module rated load score and rated load weight, as the redundant module score. When the number of redundant modules required for correction is less than the number of available redundant modules, activate the redundant modules required for correction in descending order of their redundant module scores.

[0076] In this implementation, for each redundant module, the weighted score for thermal stability can be obtained by multiplying the operating temperature score by the operating temperature weight, and the weighted score for load-bearing capacity can be obtained by multiplying the rated load score by the rated load weight. The two weighted scores are then added together to obtain the comprehensive performance score of the module (i.e., the redundant module score). This score combines the module's thermal stability and load-bearing capacity, and the higher the score, the better the module's performance.

[0077] It should be noted that the redundancy module score is a quantitative comprehensive value of module performance, which reflects both the current thermal state of the module (whether it can operate stably) and the module's potential load-bearing capacity (whether it can cope with future load changes).

[0078] For example, if the operating temperature weight is 0.6 and the rated load weight is 0.4: the redundancy score of module A = 8 × 0.6 + 9 × 0.4 = 4.8 + 3.6 = 8.4 points; the redundancy score of module B = 9 × 0.6 + 9 × 0.4 = 5.4 + 3.6 = 9 points; the redundancy score of module C = 7 × 0.6 + 8 × 0.4 = 4.2 + 3.2 = 7.4 points.

[0079] In this implementation, when the calculated "remediation redundancy requirement" is less than the current "number of available redundant modules," it indicates that there are enough redundant modules to choose from. At this point, the top N modules (N equals the remediation redundancy requirement) are selected and enabled in descending order of their redundancy scores, ensuring that the enabled modules represent the optimal performance combination.

[0080] For example, if the required redundancy is 2 and the number of available redundant modules is 3 (modules A, B, and C all meet the operating conditions), then the modules are ranked from highest to lowest score as follows: module B (9 points), module A (8.4 points), and module C (7.4 points). Modules B and A are given priority because these two modules have better thermal stability and load-bearing capacity, which can better meet the current load requirements and ensure the reliability of emergency power supply.

[0081] This implementation method first obtains the operating temperature and rated load of multiple redundant modules, determines their scores, and calculates the sum of their products based on the weights of operating temperature and rated load as the redundancy module score. When the number of redundant modules required for correction is less than the number of available redundant modules, the required number of modules are activated according to their scores from high to low. This method can accurately select modules with better performance, avoid blindly activating modules with poor performance, improve the targeting of redundancy activation, and ensure the reliability of emergency power supply.

[0082] This implementation prioritizes the use of redundant modules with low operating temperatures and high rated loads. These modules are more stable in operation and have stronger load-bearing capacity, reducing the probability of failure after activation. This reduces power supply fluctuations caused by redundant module failures, enhances the overall stability of the emergency power supply, and lowers the risk of power outages. It also optimizes the allocation of redundant resources, improves their utilization efficiency, extends the lifespan of modules with poor performance, and enhances the overall economy of the redundant system.

[0083] In some implementations, the above method also includes: determining the operating temperature weight and rated load weight of the redundant modules based on the load change rate, the operating status data of the emergency power supply's working modules, and the load data of the emergency power supply.

[0084] In this implementation, the operating temperature weight and rated load weight of redundant modules can be dynamically determined by combining real-time load change rate, operating status data of emergency power supply modules (including output voltage, output current and operating temperature of the modules) and load data (including current load rate and load change rate), replacing fixed weight settings, so that the weight allocation is more in line with the current operating conditions.

[0085] It should be noted that the load change rate reflects the severity of load fluctuations, the operating status data of the working modules reflects the load and health of the existing modules, and the load data directly points to the current power supply demand. All three serve as the basis for weight adjustment, which can make the weight more accurately adapt to the redundancy requirements in the actual scenario.

[0086] For example, when the load change rate is close to the threshold of 20% / min and the temperature of the working module is outside the normal range, it indicates that the system is facing a sudden load change and high pressure on the working module. At this time, the weight of the working temperature can be increased (e.g., from 0.4 to 0.6), and redundant modules with lower temperatures can be selected first to reduce the risk of failure after activation. When the load change rate is low and the current load rate is close to the high load rate threshold of 80%, the weight of the rated load can be increased (e.g., from 0.6 to 0.7), and redundant modules with larger rated loads can be selected first to enhance the system's carrying capacity.

[0087] This implementation method eliminates the fixed weights for redundant module operating temperature and rated load. Instead, it dynamically determines these two weights based on the load change rate, the operating status data of the emergency power supply's working modules, and the load data of the emergency power supply. Then, it combines the redundant module operating temperature score and the redundant module rated load score to calculate the redundant module score. The module is then activated according to the score, making the weights adapt to real-time operating conditions, the scoring more accurate, and the activated modules more suitable for the needs, thereby improving the reliability of emergency power supply.

[0088] This implementation adjusts weights based on real-time load change rate, working module operating status data, and load data, optimizing weight allocation for different load conditions. Based on this, redundant modules are then selected and activated. This dynamic adjustment allows the emergency power supply to better cope with diverse load scenarios, enhancing emergency response flexibility and reducing power supply fluctuations. It also optimizes redundant resource configuration, improves redundant resource utilization efficiency, reduces the ineffective use of incompatible modules, extends module lifespan, and improves the overall system economy.

[0089] Figure 7 A flowchart illustrating the fourth high-reliability emergency power supply control method based on multi-level control integration provided in this application embodiment is shown below. Figure 7 As shown, in some implementations, the above method also includes S230 to S250, which will be explained in detail below.

[0090] S230. Obtain output voltage variance data, cumulative runtime data, and most recent maintenance level data from multiple redundant modules. Normalize the output voltage variance data, cumulative runtime data, and most recent maintenance level data to output voltage variance score, cumulative runtime score, and most recent maintenance level score, respectively. Obtain voltage stability weight, cumulative runtime weight, and maintenance level weight. The multi-dimensional health status data includes individual health status scores ranging from 0 to 10.

[0091] Figure 8 A schematic diagram of the workflow of the fourth high-reliability emergency power supply control method based on multi-level control integration provided in the embodiments of this application is shown below. Figure 8 As shown, in this implementation, the output voltage variance data, cumulative runtime data, and most recent maintenance level data of multiple redundant modules can be obtained, and the output voltage variance data, cumulative runtime data, and most recent maintenance level data can be normalized to the output voltage variance score, cumulative runtime score, and most recent maintenance level score.

[0092] In this implementation, among the three types of health status data collected from the redundant modules, the output voltage variance data reflects the stability of the voltage output, the cumulative runtime data reflects the wear and tear of the module, and the most recent maintenance level data reflects the maintenance and support level of the module.

[0093] To facilitate subsequent weighted calculations, the three types of data—output voltage variance, cumulative runtime, and maintenance level—can be normalized into individual scores ranging from 0 to 10.

[0094] It should be noted that the acquisition methods for each data can be implemented in conjunction with hardware or system design: the output voltage variance data is calculated by dividing the voltage time series data into 1 minute segments using the sliding window method; the cumulative runtime data is automatically counted by the timing module at the device level; and the most recent maintenance level data is retrieved from the maintenance database at the global monitoring level.

[0095] For example, the variance of the 1-minute voltage timing data of a certain redundant module is calculated to be 0.02V²; the thermocouple collects the operating temperature every 10 seconds, and the current value is 45℃; the timing module records its cumulative running time as 1200 hours; the most recent maintenance in the maintenance database is marked as "Level 1 Maintenance" (the highest maintenance level).

[0096] In this implementation, the voltage stability weight, cumulative runtime weight, and maintenance level weight corresponding to multi-dimensional health status data can be obtained; the multi-dimensional health status data includes the above three types of scores, and the range of a single health status score is 0-10 points.

[0097] In this implementation, three weight parameters can be determined, corresponding to the importance of voltage stability, cumulative runtime, and maintenance level in the health assessment, respectively. The score for each item is limited to 0-10 points to ensure that the health status assessments of different modules are consistent and comparable.

[0098] For example, the voltage stability weight can be set to 0.35 (reflecting the critical role of voltage stability in power supply), the cumulative operating time weight can be set to 0.2 (reflecting the wear and tear effects of long-term use), and the maintenance level weight can be set to 0.45 (highlighting the importance of maintenance for module reliability).

[0099] S240. Using the weighted fusion algorithm of the redundant control layer, determine the sum of the product of the output voltage variance score and voltage stability weight, the product of the cumulative runtime score and cumulative runtime weight, and the product of the most recent maintenance level score and maintenance level weight, as the comprehensive health score. Obtain the weights of the comprehensive health score.

[0100] In this implementation, the weighted fusion algorithm of the redundant control layer can be used to calculate the sum of the product of the output voltage variance score and the voltage stability weight, the product of the cumulative runtime score and the cumulative runtime weight, and the product of the most recent maintenance level score and the maintenance level weight, which serves as the comprehensive health score.

[0101] In this implementation, the overall health score weight can be obtained.

[0102] In this implementation, a weighted fusion algorithm can be used to combine the three individual scores and their corresponding weights to obtain a comprehensive health score. This score comprehensively reflects the module's voltage stability, wear and tear, and maintenance level, and is the core indicator for evaluating the module's health status. The weights of the comprehensive health score are used for subsequent fusion with module performance indicators (operating temperature, rated load).

[0103] For example, a module has an output voltage variance score of 8 (small variance, stable voltage), a cumulative runtime score of 7 (medium usage time), and a maintenance level score of 10 (level 1 maintenance). The overall health score calculated by combining the weights is: 8×0.35+ 7×0.2+ 10×0.45 = 8.7 points.

[0104] S250. Determine the sum of the products of the redundant module operating temperature score and operating temperature weight, the redundant module rated load score and rated load weight, and the comprehensive health score and comprehensive health score weight, as the redundant module score. When the number of redundant modules required for correction is less than the number of available redundant modules, activate the required number of redundant modules in descending order of their redundant module scores.

[0105] In this implementation, the product of the redundant module operating temperature score and operating temperature weight, the product of the redundant module rated load score and rated load weight, and the sum of the product of the comprehensive health score and comprehensive health score weight can be determined as the redundant module score.

[0106] In this implementation, the module's performance indicators (operating temperature score: the lower the temperature, the higher the score; rated load score: the greater the load, the higher the score) and health status indicators (comprehensive health score) are combined and weighted and summed to obtain the final redundant module score. The redundant module score integrates the module's "performance" and "health status", and more comprehensively reflects the module's usability.

[0107] For example, a module's operating temperature score is 9 points (low temperature, stable performance) with a weight of 0.3; its rated load score is 8 points (large rated load, strong load-bearing capacity) with a weight of 0.3; and its overall health score is 8.7 points with a weight of 0.4. The calculated score for the redundant module is: 9 × 0.3 + 8 × 0.3 + 8.7 × 0.4 = 8.58 points.

[0108] In this implementation, when the number of redundant modules required for correction is less than the number of available redundant modules, the redundant modules required for correction are activated in descending order of their redundancy scores. When there are enough available redundant modules, modules with higher scores are activated first. These modules have better performance (lower operating temperature and higher rated load) and better health (lower failure risk), which can effectively reduce power supply fluctuations caused by module failures after activation and improve the reliability of emergency power supply.

[0109] For example, if the required redundancy is 2, and there are 5 available redundant modules with scores of 8.58, 8.2, 7.9, 7.5, and 7.1 respectively, then the first two modules with the highest scores will be used first.

[0110] This implementation method assesses module health using multi-dimensional data such as output voltage variance. The comprehensive health score is integrated into the activation screening mechanism, prioritizing the activation of redundant modules with high health scores. These modules have a lower failure risk, reducing power outages caused by failures after activation, enhancing the stability of emergency power supply operation, and adapting to complex operating conditions. Furthermore, the module with the highest adaptability is prioritized based on the comprehensive score, fully utilizing the performance of high-quality modules while reducing the ineffective activation of modules with low health scores. This optimizes redundant resource allocation, improves utilization efficiency, extends the overall module lifespan, and enhances economic efficiency.

[0111] Figure 9 A flowchart illustrating the fifth high-reliability emergency power supply control method based on multi-level control integration provided in this application embodiment is shown below. Figure 9 As shown, in some implementations, the above method also includes S310 to S320, which will be described in detail below.

[0112] S310. After enabling the first redundant module, obtain the fluctuation value of the output voltage of the redundant module and the increase of the output current of the redundant module.

[0113] In this implementation, after the first redundant module is put into operation, the fluctuation value of the output voltage of the redundant module and the increase of the output current of the redundant module can be collected in real time. The fluctuation value of the output voltage of the redundant module is used to measure the stability of the module voltage output, and the increase of the output current of the redundant module is used to reflect the rate of change of the module current load. These two parameters can capture abnormal fluctuations in the operation of the module in a timely manner, providing key basis for subsequent secondary switching decisions.

[0114] It should be noted that the fluctuation value of the output voltage of the redundant module is the difference between the maximum and minimum values ​​of the output voltage per unit time, as a percentage of the rated output voltage; the increase of the output current of the redundant module is the ratio of the maximum increase of the output current after the module is activated to the initial output current.

[0115] For example, the rated output voltage of a certain first redundant module is 220V. Within 1 minute of operation, the maximum voltage is 228V and the minimum voltage is 212V. Its voltage fluctuation is (228-212) / 220≈7.27%. When the module is activated, the initial output current is 12A. During operation, the maximum current is 14.4A, and its current increase is (14.4-12) / 12=20%.

[0116] S320. When the fluctuation value of the output voltage of the first redundant module is greater than or equal to 5%, or the increase of the output current of the redundant module is greater than or equal to 20%, a secondary switch is triggered through the redundancy control layer to switch the first redundant module to the second redundant module with a redundancy module score lower than that of the first redundant module.

[0117] In this implementation, two types of abnormal thresholds can be preset: voltage fluctuation threshold (5%) and current increase threshold (20%). When either threshold is triggered, it indicates that the operating status of the first redundant module can no longer meet the requirements for stable power supply. At this time, a secondary switching mechanism can be initiated through the redundancy control layer—switching the currently abnormal first redundant module to a second redundant module with a redundancy module score lower than that of the first redundant module, thus ensuring the continuity of emergency power supply.

[0118] It should be noted that the secondary switching process needs to balance speed and stability, and is usually implemented by the hardware logic circuitry of the redundancy control layer or a real-time operating system. For example, after the first redundant module is activated, if the voltage fluctuation reaches 6% (exceeding the 5% threshold), the redundancy control layer immediately triggers a switching signal: first, the output circuit breaker of the first redundant module is disconnected, and at the same time, the input contactor of the second redundant module is closed; after the output voltage and current of the second redundant module match the system bus (about 30ms), the power supply circuit of the first redundant module is completely disconnected. The entire switching process takes no more than 100ms, ensuring that the power supply to the load (such as data center servers) is not significantly interrupted.

[0119] It should be added that the score of the second redundant module being lower than that of the first redundant module means that the overall score is only lower than that of the first redundant module. This ensures that the switched-off module still has high operational reliability and avoids secondary failures caused by switching to a low-scoring module.

[0120] This implementation method monitors the output voltage fluctuation and output current increase of the first redundant module in real time. If the values ​​exceed the limits, a secondary switch is triggered, which can quickly isolate abnormal modules, reduce the risk of fault propagation, protect the emergency power supply system and load equipment, and enhance operational safety. After the redundant modules are activated, a real-time monitoring and rapid switching mechanism is established. When an anomaly occurs, the system directly switches to the second redundant module according to the preset score ranking, without the need to re-evaluate the redundant modules. This rapid switching method shortens the fault handling time, reduces the duration of power outages, ensures the continuity of emergency power supply, and is suitable for high-requirement power supply scenarios.

[0121] Figure 10 A flowchart illustrating the sixth highly reliable emergency power supply control method based on multi-level control integration provided in this application embodiment is shown below. Figure 10 As shown, in some implementations, the above method also includes S410 to S420, which will be described in detail below.

[0122] S410. When the redundancy module is enabled, obtain the predicted duration of the current operating condition.

[0123] In this implementation, when the redundant module is activated, the predicted duration of the current operating condition can be collected synchronously. This duration is a prediction of how long the current load state, power supply operating parameters, and other operating conditions will last, providing a time-dimensional reference for subsequent weight adjustments, making the weight allocation more in line with the time characteristics of the operating conditions.

[0124] For example, the predicted duration of the current operating condition can be obtained through historical scenario matching and real-time trend analysis. For instance, if a region in a data center experiences high load due to temporary server expansion, and considering the duration of similar expansion scenarios in the past, as well as the current load growth trend, it is predicted that the high load condition will last for 2 hours. This 2-hour period is the predicted duration of the operating condition.

[0125] S420. Based on the predicted duration of the operating conditions, determine the weights for operating temperature, rated load, and overall health score.

[0126] In this implementation, the weights of operating temperature, rated load, and comprehensive health score can be adjusted according to the predicted duration of the operating condition. Different durations correspond to different weight combinations, making the weight allocation more suitable for the continuous characteristics of the operating condition, and allowing the subsequent redundant module scores to more accurately reflect the module's adaptability to the operating condition.

[0127] It should be noted that the predicted operating condition duration and three weights can be correlated through an empirical value table. The empirical value table is constructed based on historical operating condition data and module performance test results. Different duration intervals correspond to different weight combinations to ensure that the weight adjustment conforms to the operating condition duration characteristics.

[0128] For example, if the predicted operating condition is a short-term condition lasting for 1 hour, the focus is on the module's immediate output capability, and the corresponding weights in the empirical value table are 0.4 for operating temperature, 0.4 for rated load, and 0.2 for overall health score. If the predicted operating condition is a long-term condition lasting for more than 5 hours, the focus is on the module's long-term stability, and the corresponding weights are adjusted to 0.3 for operating temperature, 0.3 for rated load, and 0.4 for overall health score.

[0129] This implementation method obtains the predicted duration of the current operating condition when enabling a redundant module. Based on this duration, it determines the weights for operating temperature, rated load, and comprehensive health score. Then, it calculates the redundant module score according to the adjusted weights and enables the module. This ensures that the weight adjustment aligns with the continuous operating condition requirements, making the score more accurate, improving the matching degree between the enabled module and the operating condition, and ensuring stable power supply. It also enables the selection of redundant modules to better suit the continuous characteristics of the operating condition, avoiding selection bias caused by fixed weights, enhancing the adaptability of the emergency power supply under different continuous operating conditions, further reducing the risk of power supply anomalies, and improving the overall operational reliability of the emergency power supply.

[0130] In some implementations, the above method further includes: when the predicted operating condition duration is less than the preset predicted operating condition duration, determining the operating temperature weight, rated load weight, and comprehensive health score weight as a first weighting reorganization. When the predicted operating condition duration is greater than or equal to the preset predicted operating condition duration, determining the operating temperature weight, rated load weight, and comprehensive health score weight as a second weighting reorganization. Specifically, the operating temperature weight in the first weighting reorganization is less than the operating temperature weight in the second weighting reorganization, the rated load weight in the first weighting reorganization is greater than the rated load weight in the second weighting reorganization, and the comprehensive health score weight in the first weighting reorganization is less than the comprehensive health score weight in the second weighting reorganization.

[0131] In this implementation, before activating the redundancy module, the predicted duration of the current operating condition can be obtained, and this duration can be compared with the preset predicted duration of the operating condition. Based on the comparison result, the corresponding weighting group can be selected for subsequent calculation of the redundancy module score.

[0132] In this implementation, when the predicted duration of the operating condition is less than the preset value, such as when only temporary load fluctuations need to be addressed in a short period of time, the weight of operating temperature, the weight of rated load, and the weight of comprehensive health score will be determined as the first weight reassembly. The design of the first weight reassembly focuses more on the module's real-time load-bearing capacity in order to quickly adapt to the current operating condition requirements.

[0133] In this implementation, when the predicted duration of the operating condition is greater than or equal to the preset value, such as when a specific load state needs to be maintained for a long time, the above three weights will be determined as the second weight reorganization. The second weight reorganization focuses more on the long-term operational stability of the module to ensure the reliability of power supply during the duration of the operating condition.

[0134] In this implementation, the difference in weight allocation between the first weighted reorganization and the second weighted reorganization is that the weight of operating temperature in the first weighted reorganization is less than that in the second weighted reorganization, the weight of rated load is greater than that in the second weighted reorganization, and the weight of comprehensive health score is also less than that in the second weighted reorganization. This difference allows the weighted reorganization to accurately match the characteristics of working conditions with different durations.

[0135] For example, the first weighting can be set to a weight of 0.2 for operating temperature, 0.5 for rated load, and 0.3 for overall health score; the second weighting can be set to a weight of 0.35 for operating temperature, 0.3 for rated load, and 0.35 for overall health score. With such numerical allocation, modules with larger rated loads are selected first under short-term operating conditions, while modules with lower temperatures and higher health scores are selected first under long-term operating conditions.

[0136] This implementation method first determines the weighted reorganization and selects modules based on the predicted duration of the operating conditions when enabling redundant modules. At the same time, combined with the existing secondary switching mechanism, the rated load weight is emphasized for short durations to ensure immediate adaptation, while the comprehensive score weight of operating temperature and health is emphasized for long-term stability for long durations. With the secondary switching as a backup, the probability of power supply anomalies can be greatly reduced, further improving the overall operational reliability of the emergency power supply.

[0137] In some implementations, in S110 above, the load change rate threshold, high load rate threshold, and low load rate threshold are determined based on the operating status data of the emergency power supply's working module, including S111 to S112. S111 to S112 will be explained in detail below.

[0138] S111. Obtain historical operating status data and historical fault information of the emergency power supply module. Based on the historical operating data and historical fault information, determine the module status-load threshold association rule base.

[0139] In this implementation, the operating status data and historical fault information of the emergency power supply module can be collected. The operating status data includes output voltage, output current, and operating temperature, while the historical fault information includes fault type, module status at the time of fault occurrence, and load parameters. This data provides a basis for subsequent analysis of the correlation between module status and load threshold.

[0140] In this implementation, historical operating data and historical fault information of working modules can be analyzed to explore the correspondence between module status and load threshold. By statistically analyzing the combination of module operating status (such as operating temperature and output current) and load parameters (such as load change rate and load rate) before the fault occurs, the load threshold range corresponding to the state combination that is prone to cause fault can be identified, and an association rule base can be formed.

[0141] It should be noted that the specific method for determining the module status-load threshold association rule base can employ association rule mining algorithms. For example, historical data can be processed using the Apriori algorithm, treating the module's operating status (such as operating temperature range, output current ratio range) and load parameter range as itemsets, and calculating the support and confidence of the itemsets. When the support is ≥0.6 and the confidence is ≥0.8, the itemset is determined as an association rule, such as "When the operating temperature is ≥80℃ and the output current is ≥85% of the rated value, the high load rate threshold is 75%". Multiple such rules are combined to form a rule base.

[0142] S112. Based on the working module's running status data and the module status-load threshold association rule library, determine the load change rate threshold, high load rate threshold, and low load rate threshold.

[0143] In this implementation, the operating status data of the current working module (such as current operating temperature and output current) can be matched with rules in the module status-load threshold association rule base. Based on the matched rules, the corresponding load change rate threshold, high load rate threshold, and low load rate threshold are extracted to make these thresholds adapt to the actual operating status of the current module, ensuring that the subsequent correction of the redundancy quantity conforms to the actual load-bearing capacity of the module.

[0144] This implementation method acquires historical operating status data and historical fault information of the emergency power supply module. Based on this, a module status-load threshold association rule base is determined. Then, combined with the current operating status data of the module, the load change rate threshold, high load rate threshold, and low load rate threshold are determined, making the thresholds more consistent with the actual operating conditions and improving the accuracy of threshold determination. This also allows subsequent redundancy adjustments to better match the actual load-bearing capacity of the module, improving adaptability to different operating conditions.

[0145] This application also provides a high-reliability emergency power supply control system based on multi-level control integration, including a unit for implementing the above-described high-reliability emergency power supply control method based on multi-level control integration.

[0146] Figure 11 A schematic diagram of the logic structure of a high-reliability emergency power supply control system based on multi-level control integration is provided for embodiments of this application, as shown below. Figure 11As shown, the system 1 of this embodiment includes a processing unit 11, a storage unit 12, and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to send and receive data. The processing unit 11, the storage unit 12, and the transceiver unit 13 cooperate with each other to implement the above-described method. The beneficial effects of the embodiments of this application have been described in the above-described method and will not be repeated here.

[0147] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0148] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0149] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0150] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0151] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0152] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0153] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0154] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A high-reliability emergency power supply control method based on multi-level control integration, characterized in that, The method includes: Acquire the operating status data of the emergency power supply's working modules and the load data of the emergency power supply; based on the operating status data of the emergency power supply's working modules, determine the load change rate threshold, high load rate threshold, and low load rate threshold; wherein, the operating status data of the working modules includes the working module output voltage, working module output current, and working module operating temperature, and the load data includes the current load rate and load change rate; The system obtains the basic redundancy required for the emergency power supply. When the load change rate is less than the load change rate threshold, or the current load rate is greater than or equal to the high load rate threshold, a preset redundancy is added to the basic redundancy required to obtain the corrected redundancy required. When the load change rate is less than the low load rate threshold, a preset redundancy is reduced to the basic redundancy required to obtain the corrected redundancy required. When the load change rate is greater than or equal to the low load rate threshold but less than the high load rate threshold, the basic redundancy required is used as the corrected redundancy required. The load change rate threshold is 20% / min, the high load rate threshold is 80%, and the low load rate threshold is 50%. Obtain the current operating status and operating status conditions of the redundant modules in the emergency power supply; when the current operating status of the available redundant modules meets the operating status conditions, determine that the redundant modules are available; determine the number of available redundant modules as the number of available redundant modules; when the number of redundancies required for correction is less than the number of available redundant modules, activate the redundant modules; when the number of redundancies required for correction is greater than or equal to the number of available redundant modules, issue an emergency alarm and switch to the backup emergency power supply.

2. The method according to claim 1, characterized in that, The method further includes: When the load change rate is greater than or equal to the load change rate threshold, acquire the operating status data of the emergency power supply's working module and the load data of the emergency power supply. Based on the load change rate, the operating status data of the emergency power supply's working modules, and the load data of the emergency power supply, determine the basic redundancy required for the emergency power supply.

3. The method according to claim 2, characterized in that, The method further includes: Obtain the operating temperature and rated load of multiple redundant modules; determine the operating temperature score and rated load score of the multiple redundant modules based on their operating temperatures and rated loads; obtain the operating temperature weight and rated load weight of the redundant modules; wherein, the lower the operating temperature of the redundant module, the higher the operating temperature score; and the higher the rated load of the redundant module, the higher the rated load score. The product of the redundancy module operating temperature score and operating temperature weight, and the sum of the product of the redundancy module rated load score and rated load weight are determined as the redundancy module score. When the number of redundancies required for correction is less than the number of available redundancy modules, the redundancy modules required for correction are activated in descending order of their redundancy module scores.

4. The method according to claim 3, characterized in that, The method further includes: Based on the load change rate, the operating status data of the emergency power supply's working modules, and the load data of the emergency power supply, the operating temperature weight and rated load weight of the redundant modules are determined.

5. The method according to claim 4, characterized in that, The method further includes: The system acquires output voltage variance data, cumulative runtime data, and most recent maintenance level data from multiple redundant modules. It then normalizes these data to output voltage variance score, cumulative runtime score, and most recent maintenance level score. Finally, it acquires voltage stability weight, cumulative runtime weight, and maintenance level weight. The multi-dimensional health status data includes individual health status scores ranging from 0 to 10. The weighted fusion algorithm of the redundant control layer is used to determine the sum of the product of output voltage variance score and voltage stability weight, the product of cumulative runtime score and cumulative runtime weight, and the product of most recent maintenance level score and maintenance level weight, which are used as the comprehensive health score; the weight of the comprehensive health score is obtained. The redundancy module score is determined by the sum of the product of the redundancy module operating temperature score and operating temperature weight, the product of the redundancy module rated load score and rated load weight, and the product of the comprehensive health score and comprehensive health score weight. When the number of redundancies required for correction is less than the number of available redundancy modules, the redundancy modules required for correction are activated in descending order of their redundancy scores.

6. The method according to claim 5, characterized in that, The method further includes: After the first redundancy module is activated, the fluctuation value of the output voltage of the redundancy module and the increase of the output current of the redundancy module are obtained. When the fluctuation value of the output voltage of the first redundant module is greater than or equal to 5%, or the increase of the output current of the redundant module is greater than or equal to 20%, a secondary switch is triggered through the redundancy control layer to switch the first redundant module to the second redundant module with a redundancy module score lower than that of the first redundant module.

7. The method according to claim 6, characterized in that, The method further includes: When the redundancy module is enabled, obtain the predicted duration of the current operating condition. Based on the predicted duration of the operating conditions, the weights for operating temperature, rated load, and overall health score are determined.

8. The method according to claim 7, characterized in that, The method further includes: When the predicted operating condition duration is less than the preset predicted operating condition duration, the operating temperature weight, rated load weight, and comprehensive health score weight are determined as the first weighting set; when the predicted operating condition duration is greater than or equal to the preset predicted operating condition duration, the operating temperature weight, rated load weight, and comprehensive health score weight are determined as the second weighting set; wherein, the operating temperature weight in the first weighting set is less than the operating temperature weight in the second weighting set, the rated load weight in the first weighting set is greater than the rated load weight in the second weighting set, and the comprehensive health score weight in the first weighting set is less than the comprehensive health score weight in the second weighting set.

9. The method according to claim 8, characterized in that, Based on the operating status data of the emergency power supply's working modules, determine the load change rate threshold, high load rate threshold, and low load rate threshold, including: Obtain historical operating status data and historical fault information of the emergency power supply module; determine the module status-load threshold association rule base based on the historical operating status data and historical fault information; Based on the working module's running status data and the module status-load threshold association rule library, determine the load change rate threshold, high load rate threshold, and low load rate threshold.

10. A high-reliability emergency power supply control system based on multi-level control integration, characterized in that, Includes units for implementing the method of any one of claims 1 to 9.

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