A test system and method for inter-row air conditioning of prefabricated power modules in a data center

Abstract

The application belongs to the technical field of prefabricated modular data center, and provides a column air conditioner test system and method for prefabricated power module of data center, which provides a reliable method for the whole process of column air conditioner effect test of prefabricated power module of data center. In the application, a wireless thermometer distribution point is designed to eliminate the error caused by the temperature gradient in the height direction, and the temperature measurement is more real and reliable. Through the temperature time series convergence calculation method, the simulation running time is shortened, and the problem that the temperature data cannot tend to be stable for a long time in some scenes and the test time is too long is solved.

Description

Technical Field

[0001] This application relates to the field of prefabricated modular data center technology, and in particular to an inter-row air conditioning testing system and method for prefabricated power modules in data centers. Background Technology

[0002] Prefabricated modular data centers are pre-designed, assembled, integrated, and pre-tested physical infrastructure systems for data centers (including racks, chillers, pumps, cooling units, UPS, PDUs, switchgear, transformers, etc.). These are delivered to the data center site as standardized, plug-and-play modules. Prefabricated power modules are a key component of prefabricated modular data centers. Prefabricated power modules refer to prefabricated, modularly combinable, and tested sets of electrical equipment manufactured in a factory. Compared to traditional methods, prefabricated power modules significantly shorten delivery cycles, improve deployment efficiency, and, through the integration of intelligent management systems and high-efficiency equipment, significantly enhance system efficiency.

[0003] In modular data centers, to improve space utilization and integration within power modules, their internal layout is typically compact, leading to uneven heat dissipation, complex airflow organization for internal air conditioning, and uneven temperature distribution. To ensure stable and reliable operation of electrical equipment within prefabricated power modules, the ambient temperature must be neither too high (which would hinder heat dissipation) nor too low (which would cause condensation on equipment surfaces). Furthermore, single-unit failures or switching scenarios can also impact the actual air conditioning performance. To avoid the risk of air conditioning systems failing to meet the operational needs of prefabricated power modules in project implementation, simulating actual usage conditions before shipment is crucial for determining the actual effectiveness of the internal air conditioning system. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a test system and method for inter-row air conditioning of prefabricated power modules in data centers.

[0005] In a first aspect, embodiments of this application provide an inter-row air conditioning testing system for prefabricated power modules in a data center. The prefabricated power module includes a housing and UPS, battery banks, distribution cabinets, and inter-row air conditioners housed within the housing. The UPS and inter-row air conditioners are arranged alternately, with each inter-row air conditioner forming the first and last arrangement. Each UPS and each battery bank is equipped with a set of temperature sensors, and at least two distribution cabinets are equipped with a set of temperature sensors. Each set of temperature sensors includes at least three temperature sensors, respectively located at the top, middle, and bottom of the electrical equipment along the height of the housing. The inter-row air conditioning testing system further includes a processor configured to: set the prefabricated power module... The prefabricated power module operates as follows: after the inter-row air conditioner runs according to standard parameters for a first preset duration, the prefabricated power module is controlled to operate; the real-time temperature of each group of temperature sensors is collected every second preset duration to obtain the average temperature value collected by each group of temperature sensors; the average temperature values ​​are arranged in chronological order of acquisition time to form a temperature sequence corresponding to each group of temperature sensors; the convergence temperature corresponding to each group of temperature sensors is determined based on the temperature sequence; and if the convergence temperature of each group of temperature sensors corresponding to each electrical device is not greater than the preset temperature threshold corresponding to each electrical device under the operating conditions, the inter-row air conditioning system of the prefabricated power module is deemed to meet the operating requirements.

[0006] In some embodiments, the operating conditions include: a condition where all UPS load rates are less than the normal load operating load rate and one in-row air conditioner fails; a condition where all UPS load rates are less than the normal load operating load rate and all in-row air conditioners operate normally; a condition where all UPS load rates are equal to the normal load operating load rate and one in-row air conditioner fails; a condition where all UPS load rates are equal to the normal load operating load rate and all in-row air conditioners operate normally; and a condition where all UPS load rates are equal to the full load operating load rate and all in-row air conditioners operate normally.

[0007] In some embodiments, the inter-row air conditioning testing system further includes a data storage device and a display interface, wherein the processor is configured to: control the storage of the average temperature values ​​collected by each group of temperature sensors in the data storage device according to the order of collection time; and control the display of the average temperature values ​​collected by each group of temperature sensors in the data storage device as a visual line graph at a third preset time interval.

[0008] In some embodiments, the passing criteria include a normal load passing criteria, a normal low load passing criteria, an abnormal operating condition passing criteria, and a full load passing criteria. The normal low load passing criteria are defined as the operating condition in which all UPS load rates are less than the normal load operating rate and one in-row air conditioner fails. The normal low load passing criteria are defined as the operating condition in which all UPS load rates are less than the normal load operating rate and all in-row air conditioners are operating normally. The abnormal operating condition passing criteria are defined as the operating condition in which all UPS load rates are equal to the normal load operating rate and one in-row air conditioner fails. The normal load passing criteria are defined as the operating condition in which all UPS load rates are equal to the normal load operating rate and all in-row air conditioners are operating normally. The full load passing criteria are defined as the operating condition in which all UPS load rates are equal to the full load operating rate and all in-row air conditioners are operating normally.

[0009] Secondly, this application provides a method for testing the inter-row air conditioning of a prefabricated power module for a data center. The prefabricated power module includes a cabinet and UPS, battery packs, distribution cabinets, and inter-row air conditioners installed inside the cabinet. The UPS and the inter-row air conditioners are arranged alternately, starting with and ending with an inter-row air conditioner. Each UPS and each battery pack is equipped with a set of temperature sensors, and at least one set of temperature sensors is installed for every two distribution cabinets. Each set of temperature sensors includes at least three temperature sensors, which are respectively installed at the upper, middle, and lower parts of the electrical equipment along the height of the cabinet. The inter-row air conditioning testing method includes the following steps: setting the operating conditions of the prefabricated power module. After the inter-row air conditioner operates according to standard parameters for a first preset time, the prefabricated power module is controlled to operate. Real-time temperatures of each group of temperature sensors are collected every second preset time interval to obtain the average temperature value collected by each group of temperature sensors. The average temperature values ​​of the same group of temperature sensors are arranged in chronological order of collection time to form a temperature sequence corresponding to each group of temperature sensors. The convergence temperature corresponding to each group of temperature sensors is determined based on the temperature sequence. If the convergence temperature of each group of temperature sensors corresponding to each electrical device is not greater than the preset temperature threshold corresponding to each electrical device under the operating condition, then the inter-row air conditioning system of the prefabricated power module is deemed to meet the operating requirements.

[0010] In some embodiments, the inter-row air conditioner testing method further includes the following steps: before starting the operating condition test, setting the standard parameters of the inter-row air conditioner and running the inter-row air conditioner for a first preset duration.

[0011] In some embodiments, determining the convergence temperature corresponding to each group of temperature sensors based on the temperature series includes the following steps: subtracting the average value of all terms in the temperature series from each term in the temperature series; calculating the autocorrelation function of each term in the temperature series after subtracting the average value; determining that the temperature series is a periodic fluctuation based on the presence of ≥2 peaks in the autocorrelation function, and obtaining the convergence temperature of the temperature series using a periodic curve model; determining that the temperature series is a linear data fluctuation based on the presence of fewer than 2 peaks in the autocorrelation function, and obtaining the convergence temperature of the temperature series using a linear fluctuation model.

[0012] In some embodiments, determining that the inter-row air conditioning system of the prefabricated power modules meets the operating requirements based on the convergence temperature of each group of temperature sensors corresponding to each electrical device not exceeding the preset temperature threshold corresponding to each electrical device under the operating condition includes the following steps: finding the corresponding pass standard according to the operating condition; determining that the inter-row air conditioning system of the prefabricated power modules meets the operating requirements based on the simultaneous satisfaction of the following three conditions: First condition: the convergence temperature of each group of temperature sensors corresponding to each UPS is ≤ the preset temperature threshold of the UPS corresponding to the pass standard of the operating condition; Second condition: the convergence temperature of each group of temperature sensors corresponding to each battery pack is ≤ the preset temperature threshold of the battery pack corresponding to the pass standard of the operating condition; Third condition: the convergence temperature of each group of temperature sensors corresponding to each distribution cabinet is ≤ the preset temperature threshold of the distribution cabinet corresponding to the pass standard of the operating condition.

[0013] In some embodiments, the operating conditions include the following: all UPS load rates are less than the normal load operating load rate and one in-row air conditioner fails; all UPS load rates are less than the normal load operating load rate and all in-row air conditioners are operating normally; all UPS load rates are equal to the normal load operating load rate and one in-row air conditioner fails; all UPS load rates are equal to the normal load operating load rate and all in-row air conditioners are operating normally; and all UPS load rates are equal to the full load operating load rate and all in-row air conditioners are operating normally.

[0014] In some embodiments, the passing criteria include a normal load passing criteria, a normal low load passing criteria, an abnormal operating condition passing criteria, and a full load passing criteria. The normal low load passing criteria are defined as the operating condition in which all UPS load rates are less than the normal load operating rate and one in-row air conditioner fails. The normal low load passing criteria are defined as the operating condition in which all UPS load rates are less than the normal load operating rate and all in-row air conditioners are operating normally. The abnormal operating condition passing criteria are defined as the operating condition in which all UPS load rates are equal to the normal load operating rate and one in-row air conditioner fails. The normal load passing criteria are defined as the operating condition in which all UPS load rates are equal to the normal load operating rate and all in-row air conditioners are operating normally. The full load passing criteria are defined as the operating condition in which all UPS load rates are equal to the full load operating rate and all in-row air conditioners are operating normally.

[0015] The beneficial effects that this application can achieve.

[0016] This application provides a test system and method for inter-row air conditioning of prefabricated power modules in data centers. It offers a reliable, end-to-end method for factory testing of the inter-row air conditioning performance of prefabricated power module products. Furthermore, the application incorporates a wireless thermometer deployment system to eliminate errors caused by temperature gradients along the vertical direction, resulting in more accurate and reliable temperature measurements. A convergence calculation method for temperature-time series is used to shorten simulation runtime, addressing the issue of prolonged test durations due to temperature data not stabilizing in certain scenarios. Additionally, this application provides test methods and pass standards for multiple scenarios and operating conditions, ensuring the reliability of the conclusions from the integrated testing of the power module product's air conditioning system. This enables comprehensive verification and accurate evaluation of the performance of the prefabricated power module air conditioning system.

[0017] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 An architectural diagram of an exemplary prefabricated power module to which some embodiments of this application may be applied is shown.

[0020] Figure 2 A schematic plan view of an exemplary prefabricated power module to which some embodiments of this application may be applied is shown.

[0021] Figure 3 A flowchart illustrating an exemplary method for testing inter-row air conditioning of a prefabricated power module in a data center is shown, in which some embodiments of this application can be applied.

[0022] Among them, 100-prefabricated power module, 101-enclosure, 102-power room, 103-battery room, 1-low voltage distribution cabinet, 2-low voltage main bus tie cabinet, 3-static reactive power compensation cabinet, 4-UPS incoming line cabinet, 61-first UPS, 62-second UPS, 63-third UPS, 71-first air conditioner, 72-second air conditioner, 73-third air conditioner, 74-fourth air conditioner, 75-fifth air conditioner, 76-sixth air conditioner, 8-battery pack, 10-UPS outgoing line cabinet, 11-UPS outgoing line 12-External maintenance bypass cabinet, 13-First feeder cabinet, 14-Second feeder cabinet, 15-Main circuit breaker, 16-Tie circuit breaker, 17-Main input switch, 18-UPS internal switch, 19-UPS internal maintenance bypass, 20-Output switch, 21-Battery switch, 22-Centralized bypass switch, 23-Main output switch, 24-Feeder switch, 25-Load, 26-0.4KV busbar, 27-Output busbar, 28-Feeder busbar, 29-Rectifier, 30-Static bypass. Detailed Implementation

[0023] The term "comprising" in the specification, claims, and accompanying drawings of this application is synonymous with "including," "containing," or "characterized in," and is inclusive of endpoints or open-ended, and does not exclude additional unstated elements or method steps. "Comprising" is a technical term used in the language of the claims, meaning that the stated element is present, but other elements may be added and still form a construction or method within the scope of the claims.

[0024] It should be noted that similar reference numerals and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance. In this application, the term "about" means including minute variations (at most + / - 10%) of the stated value.

[0025] This application has revealed that current testing of air conditioning operation before prefabricated power module products leaves the factory relies solely on single-point temperature measurement and manual observation, making it difficult to objectively determine whether the air conditioning meets the overall cabin heat dissipation requirements. This can easily lead to misjudgments. Furthermore, uneven temperature distribution within electrical equipment, with significant temperature differences between the upper, middle, and lower parts of the cabinet, means that single or limited measurement points cannot reflect the true temperature rise of the equipment, potentially leading to undetected localized overheating. In addition, fluctuations in the air conditioning's automatic control logic and the intake air temperature of various electrical devices result in prolonged periods of unstable temperature data. In some cases, certain operating conditions may not reach a steady state even after 2 hours (or longer), resulting in lengthy air conditioning operation testing times.

[0026] In view of this, this application proposes a method for testing the inter-row air conditioning of a prefabricated power module in a data center. The prefabricated power module includes a cabinet and UPS, battery packs, power distribution cabinets, and inter-row air conditioners installed inside the cabinet. The UPS and the inter-row air conditioners are arranged alternately, with each inter-row air conditioner being the first to last. Each UPS and each battery pack is equipped with a set of temperature sensors, and at least one set of temperature sensors is installed for every two power distribution cabinets. Each set of temperature sensors includes at least three temperature sensors, which are respectively installed at the top, middle, and bottom of the electrical equipment along the height of the cabinet. The air conditioning testing method includes the following steps: setting the operating conditions of the prefabricated power module; controlling the operation of the prefabricated power module after the inter-row air conditioner has been running according to standard parameters for a first preset time; collecting the real-time temperature of each set of temperature sensors every second preset time interval to obtain the temperature of each set of temperature sensors. The average temperature value collected by the device in this study is used to form a temperature series corresponding to each group of temperature sensors. The convergence temperature of each group of temperature sensors is determined based on the temperature series. The corresponding pass standard is found based on the operating conditions, and the prefabricated power module inter-row air conditioning system is deemed to meet the operating requirements if the following three conditions are met simultaneously: First, the convergence temperature of each group of temperature sensors corresponding to each UPS is less than or equal to the UPS preset temperature pass threshold of the pass standard corresponding to the operating conditions. Second, the convergence temperature of each group of temperature sensors corresponding to each battery pack is less than or equal to the battery pack preset temperature pass threshold of the pass standard corresponding to the operating conditions. Third, the convergence temperature of each group of temperature sensors corresponding to each distribution cabinet is less than or equal to the distribution cabinet preset temperature pass threshold of the pass standard corresponding to the operating conditions.

[0027] The data center prefabricated power module inter-row air conditioning test system and method provided in this application embodiment are designed with wireless thermometer deployment to eliminate errors caused by temperature gradients in the vertical direction, making temperature measurement more realistic and reliable. It also shortens the simulation running time by using a temperature-time series convergence calculation method, solving the problem that temperature data cannot stabilize for a long time in some scenarios and the test time is too long. At the same time, it also provides test methods and pass standards for multiple scenarios and multiple operating conditions, making the conclusions of the air conditioning joint commissioning test of power module products reliable, and realizing comprehensive verification and accurate evaluation of the performance of prefabricated power module air conditioning system.

[0028] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0029] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0030] A data center typically refers to the key equipment and the necessary infrastructure within a physical space for centralized processing, storage, transmission, exchange, and management of information. This infrastructure includes building facilities, environment, power supply systems, cooling systems, server rack systems, fire protection systems, and monitoring systems. With the advent of the AI ​​era, especially the wave of generative AI, data centers are facing the severe challenge of high-density power infrastructure in order to provide AI industry application platforms, making it urgent to reduce the space required for power distribution rooms. To improve the utilization rate of the internal server room area relative to the overall building area, modular data center designs are often adopted. Modular data centers refer to data centers where each module has independent functions, unified input / output interfaces, and modules in different areas can back each other up. A complete data center is formed through the arrangement and combination of related modules.

[0031] Prefabricated power modules refer to complete sets of electrical equipment that are prefabricated in a factory, modularly assembled, and tested. Prefabricated power modules used in data centers primarily integrate various equipment found in traditional power supply and distribution systems, such as 10KV isolation cabinets, transformers, low-voltage distribution cabinets, reactive power compensation cabinets, active filter cabinets, UPS input cabinets, UPS, and UPS output feeder cabinets. As an innovative application of modular architecture in the power supply and distribution field for data centers, prefabricated power modules demonstrate significant advantages in addressing the inherent defects of traditional power supply and distribution systems. Compared to traditional models, they can significantly shorten delivery cycles, improve engineering deployment efficiency, and, through the integration of intelligent management systems and high-efficiency equipment, significantly enhance system efficiency. This helps reduce the energy consumption efficiency of data centers and provides key technological support for the industry's green transformation.

[0032] In this application, prefabricated power modules are a crucial component of modular data centers. To improve space utilization and integration within these modules, their internal layout is typically compact, leading to uneven heat dissipation, complex airflow organization, and uneven temperature distribution. However, stable and reliable operation of electrical equipment requires two key elements: firstly, the ambient temperature cannot be too high, as this hinders heat dissipation; secondly, the temperature cannot be too low, as this causes condensation on the equipment surface. Furthermore, single-unit failures or switching scenarios can also impact the actual air conditioning performance. To avoid the risk of air conditioning systems failing to meet the operational needs of prefabricated power modules in project implementation, simulating actual usage conditions before shipment is crucial for determining the actual effectiveness of the internal air conditioning system.

[0033] This application has revealed that current testing of air conditioning operation before prefabricated power module products leaves the factory relies solely on single-point temperature measurement and manual observation, making it difficult to objectively determine whether the air conditioning meets the overall cabin heat dissipation requirements. This can easily lead to misjudgments. Furthermore, uneven temperature distribution within electrical equipment, with significant temperature differences between the upper, middle, and lower parts of the cabinet, means that single or limited measurement points cannot reflect the true temperature rise of the equipment, potentially leading to undetected localized overheating. In addition, fluctuations in the air conditioning's automatic control logic and the intake air temperature of various electrical devices result in prolonged periods of unstable temperature data. In some cases, certain operating conditions may not reach a steady state even after 2 hours (or longer), resulting in lengthy air conditioning operation testing times.

[0034] In view of this, this application proposes a test system for inter-row air conditioning of prefabricated power modules in data centers. It provides a reliable method for the entire process of factory testing of the inter-row air conditioning performance of prefabricated power module products, ensuring the reliability of the inter-row air conditioning in actual operation within the power module and avoiding problems such as insufficient cooling, abnormal air ducts, and improper air conditioning matching only after the modules are delivered to the site. Simultaneously, this application designs a wireless thermometer deployment system to eliminate errors caused by temperature gradients in the vertical direction, resulting in more accurate and reliable temperature measurements. Combined with a BMS / processor, it achieves automatic temperature acquisition and real-time visualization, reducing the workload of personnel constantly entering and exiting the module to record temperature data and minimizing the impact of personnel movement on the reliability of the test data. Furthermore, this application uses a temperature-time series convergence calculation method to shorten the simulation running time, solving the problem of temperature data failing to stabilize for extended periods in some scenarios, leading to excessively long test durations. Secondly, this application also provides test methods and pass standards for multiple scenarios and operating conditions, making the conclusions of the air conditioning commissioning test of the power module product reliable. It realizes the comprehensive verification and accurate evaluation of the performance of the prefabricated power module air conditioning system, ensuring not only that the module is qualified in the factory environment, but also that it can operate stably and reliably for a long time in the complex environment and variable load of the actual site, significantly improving the versatility, safety, reliability and delivery efficiency of the prefabricated data center power module.

[0035] This application provides a test system for inter-row air conditioning of prefabricated power modules in a data center. The prefabricated power module includes a cabinet and UPS, battery packs, distribution cabinets, and inter-row air conditioners housed within the cabinet. The UPS and inter-row air conditioners are arranged alternately, with each inter-row air conditioner forming the first and last arrangement. Each UPS and each battery pack is equipped with a set of temperature sensors, and at least one set of temperature sensors is provided for every two distribution cabinets. Each set of temperature sensors includes at least three temperature sensors, respectively located at the top, middle, and bottom of the electrical equipment along the height of the cabinet.

[0036] See Figure 1 The diagram illustrates an exemplary prefabricated power module to which some embodiments of this application can be applied. Exemplarily, Figure 1The prefabricated power module includes three UPS (uninterruptible power systems): UPS 61, UPS 62, and UPS 63. The prefabricated power module may not include a transformer cabinet; instead, a low-voltage distribution cabinet 1 can be directly connected to an external transformer. For example, the low-voltage distribution cabinet 1 may include a main circuit breaker 14, with one end connected to a 2500kVA 10 / 0.4kV transformer and the other end connected to the 0.4kV busbar 25. In other embodiments, the prefabricated power module may also include a transformer cabinet to accommodate situations where no suitable external transformer is available. The prefabricated power module includes a low-voltage main bus tie cabinet 2 for connecting a backup power source, providing emergency power and ensuring uninterrupted power supply. This cabinet includes a tie circuit breaker 15, with one end connected to the 0.4kV busbar 25. The 0.4kV busbar 25 is also connected to a static var compensator cabinet 3, a main input switch 16, and a centralized bypass switch 21. The main input switch 16 connects the UPS and the 0.4KV bus 25. The first UPS 61, the second UPS 62, and the third UPS 63 each have one end connected to a main input switch 16 and the other end connected to an output switch 19. All output switches 19 are connected to the output busbar 26. The main output switch 22 is connected between the output busbar 26 and the feeder busbar 27. The feeder busbar 27 is connected to the load 24 via the feeder switch 23. The load 24 includes, for example, air conditioning equipment, and other external power equipment in the data center such as servers, network equipment, industrial control equipment, and communication equipment. The centralized bypass switch 21 has one end connected to the 0.4KV busbar 25 and the other end connected to the feeder busbar 27. See also... Figure 1 As shown, exemplarily, each UPS includes a rectifier 28, an inverter 29, a static bypass 30, and a UPS internal maintenance bypass 18. An internal UPS switch 17 is provided between the main input switch 16 and the rectifier 28, an internal UPS switch 17 is provided between the inverter 29 and the output switch 19, and an internal UPS switch 17 and a battery switch 20 are provided between the output of the rectifier 28 and the battery pack 8.

[0037] Taking a 3+1 set prefabricated power module architecture (a total of 4 sets of prefabricated power modules, 3 for normal use and 1 for backup) as an example (e.g., serving a 2MW data center), when one power module fails, the UPS load rate of the other 3 power modules is 90% (the UPS load rate at full load is determined by the power architecture). When all 4 power modules are operating normally, the UPS load rate of the power modules is 90% * 0.75 = 67.5%. In this embodiment, each power module is equipped with 4 in-row air conditioners (first air conditioner 71, second air conditioner 72, third air conditioner 73, and fourth air conditioner 74) and 3 UPSs (first UPS 61, second UPS 62, and third UPS 63). The UPS devices are arranged between the in-row air conditioners, and the overall layout of the UPS and the in-row air conditioners is alternating and starts and ends with the in-row air conditioners. Figure 2 The diagram shows a plan view (top view) of the prefabricated power module. To save space, all equipment in the prefabricated power module is arranged adjacent to each other. The prefabricated power module 100 includes a housing 101, which is divided into a power compartment 102 and a battery compartment 103. In the power compartment 102, the following are arranged adjacent to each other in sequence: low-voltage distribution cabinet 1, low-voltage main bus coupler cabinet 2, static reactive power compensation cabinet 3, UPS incoming line cabinet 4, first air conditioner 71, first UPS 61, second air conditioner 72, second UPS 62, third air conditioner 73, third UPS 63, fourth air conditioner 74, UPS outgoing line cabinet 10, UPS outgoing line external maintenance bypass cabinet 11, first feeder cabinet 12, and second feeder cabinet 13. The battery compartment 103 houses a fifth air conditioner 75, a sixth air conditioner 76, and several battery banks 8.

[0038] Multiple temperature sensors are arranged in the power module. The principle for the placement of temperature sensors is as follows: (1) Each critical electrical equipment (e.g., UPS, battery bank) is equipped with a set of temperature sensors; (2) For non-critical electrical equipment (e.g., low voltage distribution cabinet 1, low voltage main bus tie cabinet 2, static reactive power compensation cabinet 3, UPS incoming line cabinet 4, UPS outgoing line cabinet 10, UPS outgoing line external maintenance bypass cabinet 11, first feeder cabinet 12, second feeder cabinet 13), at least one set of temperature sensors is set for every two parallel cabinets.

[0039] Specifically, exemplarily, in this embodiment, each UPS is equipped with a set of temperature sensors, namely, the first UPS 61, the second UPS 62, and the third UPS 63 are each equipped with a set of temperature sensors. Each battery pack 8 is equipped with a set of temperature sensors. Each set of temperature sensors includes at least three temperature sensors, which are respectively installed at the upper, middle, and lower parts of the electrical equipment along the height direction of the enclosure 101, for example, at heights of 0.4m, 1.2m, and 1.8m. For non-critical electrical equipment (e.g., low-voltage distribution cabinet 1, low-voltage main bus tie cabinet 2, static reactive power compensation cabinet 3, UPS incoming line cabinet 4, UPS outgoing line cabinet 10, UPS outgoing line external maintenance bypass cabinet 11, first feeder cabinet 12, and second feeder cabinet 13), at least every two parallel cabinet devices are equipped with a set of temperature sensors, and each set of temperature sensors includes at least three temperature sensors, which are respectively installed at the upper, middle, and lower parts of the electrical equipment along the height direction of the enclosure 101, for example, at heights of 0.4m, 1.2m, and 1.8m.

[0040] For example, in some embodiments, a set of temperature sensors is provided for every four distribution cabinets (if, after every four groups, fewer than four distribution cabinets remain, no further temperature sensors are provided). A set of temperature sensors is provided for the four electrical devices: low-voltage distribution cabinet 1, low-voltage main bus coupler cabinet 2, static reactive power compensation cabinet 3, and UPS incoming line cabinet 4. A set of temperature sensors is also provided for the four electrical devices: UPS outgoing line cabinet 10, UPS outgoing line external maintenance bypass cabinet 11, first feeder cabinet 12, and second feeder cabinet 13. Each set of temperature sensors includes three temperature sensors, respectively located at the top, middle, and bottom of the electrical device along the height of the enclosure 101. The air conditioner itself has a temperature sensor, so no additional temperature sensors are provided. In other embodiments, for example, a set of temperature sensors is provided for every two distribution cabinets (if, after every two groups, fewer than two distribution cabinets remain, no further temperature sensors are provided). In some other embodiments, for example, a group of temperature sensors is set for every three distribution cabinets (if, after every three groups, fewer than three distribution cabinets remain, no more temperature sensors are set). The number of distribution cabinets corresponding to each group of temperature sensors can be adaptively adjusted according to the detection needs.

[0041] In some embodiments, in order to make the temperature measurement of the distribution cabinet furthest from the inter-row air conditioner more accurate, a set of temperature sensors needs to be installed in the distribution cabinet furthest from the inter-row air conditioner (e.g., low-voltage distribution cabinet 1, second feeder cabinet 13). Each set of temperature sensors includes at least 3 temperature sensors, which are respectively installed at the upper, middle and lower parts of the electrical equipment along the height direction of the enclosure 101, for example, at heights of 0.4m, 1.2m and 1.8m.

[0042] The temperature sensor can be a thermistor, platinum resistance thermometer, thermocouple, or digital temperature sensor (such as DS18B20), used for real-time temperature measurement of electrical equipment. The temperature sensor can be connected to the inter-row air conditioning test system of the prefabricated power module in the data center via wired or wireless connections. In a wired connection, the temperature sensor can be a temperature acquisition circuit board with a communication bus module, for example, forming a temperature sensor network by integrating RS485 bus, Modbus bus, or other bus modules to measure the temperature of each electrical device in real time. In a wireless connection, the temperature sensor can be a wireless thermometer with a wireless communication module, for example, forming a wireless temperature sensor network through Zigbee protocol, Bluetooth, or other wireless communication modules to measure the temperature of each electrical device in real time.

[0043] This application discloses a test system for inter-row air conditioning of prefabricated power modules in a data center, further comprising a processor. The processor is configured to: set the operating conditions of the prefabricated power modules; control the operation of the prefabricated power modules after the inter-row air conditioning operates according to standard parameters for a first preset duration; control the acquisition of real-time temperatures of each group of temperature sensors every second preset duration, and obtain the average temperature value acquired by each group of temperature sensors in this acquisition; arrange the average temperature values ​​of the same group of temperature sensors in chronological order of acquisition time to form a temperature sequence corresponding to each group of temperature sensors; determine the convergence temperature corresponding to each group of temperature sensors based on the temperature sequence; and determine that the inter-row air conditioning system of the prefabricated power modules meets the operating requirements based on the fact that the convergence temperature of each group of temperature sensors corresponding to each electrical device is not greater than the preset temperature threshold corresponding to each electrical device under the operating conditions.

[0044] The processor described in this application can be a general-purpose processor, a special-purpose processor, a conventional processor, a digital signal processor (DSP), multiple microprocessors, a combination of one or more microprocessors and a DSP core, a controller, a microcontroller, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) circuit, any other type of integrated circuit (IC), a state machine, an ARM-based processor, or the like. The processor can reside in a separately configured circuit board unit, or its functionality can be integrated into a prefabricated power module within a data center that also has processor functionality. For example, in some embodiments, the functionality of the processor is implemented in a BMS platform.

[0045] Accordingly, this application provides a method for testing inter-row air conditioning of prefabricated power modules in a data center. See also... Figure 3 It illustrates a flowchart of an embodiment of a test method for inter-row air conditioning of prefabricated power modules in a data center, including the following steps: S01: Set the operating conditions of the prefabricated power module, and control the operation of the prefabricated power module after the inter-row air conditioner has been running for a first preset time according to standard parameters; S02: Collect the real-time temperature of each group of temperature sensors every second preset time interval, and obtain the average temperature value collected by each group of temperature sensors this time. S03: Arrange the average temperature values ​​of the same group of temperature sensors in chronological order of acquisition time to form a temperature sequence corresponding to each group of temperature sensors. S04: Determine the convergence temperature corresponding to each group of temperature sensors based on the temperature sequence; S05: If the convergence temperature of each set of temperature sensors corresponding to each electrical device is not greater than the preset temperature threshold corresponding to each electrical device under the operating condition, then the prefabricated power module inter-row air conditioning system is determined to meet the operating requirements.

[0046] The testing process for the inter-row air conditioning test system generally involves testing the UPS from low load to high load. Before starting the test, after completing the pre-power-on checks, the operating standard parameters for each inter-row air conditioner are input according to the standard air conditioning parameters, and the air conditioners are run for a first preset duration. After the first preset duration, the UPS is loaded according to the pre-set operating conditions of the prefabricated power modules, and the loading start time and outdoor weather conditions (temperature, humidity, sunny / cloudy, etc.) are recorded. The first preset duration, for example, can be 1 hour, 1.5 hours, 2 hours, etc., to ensure the air conditioning system reaches its rated operating conditions, establishes a stable temperature and humidity environment inside the cabin, eliminates fluctuations in operating conditions during the startup phase, and ensures that subsequent tests are conducted under stable and consistent environmental conditions, guaranteeing accurate and reliable test data.

[0047] The standard operating parameters for in-row air conditioners generally include ambient temperature and relative humidity. The standard operating range for ambient temperature is 18℃~27℃, the standard range for relative humidity is 40%~60% RH (non-condensing), temperature control accuracy is ±1℃ (±0.5℃ for high-end models), humidity accuracy is ±3%~±5%RH, and external static pressure (operating) is 50Pa~250Pa. For example, in some embodiments, the standard operating parameters for the in-row air conditioner are set as follows: the ambient temperature inside the enclosure is stable at 23±1℃ (or within the set value ±0.5℃), and the relative humidity inside the enclosure is 45%~55%RH with fluctuations ≤±3%. Before the operational test, the in-row air conditioner is pre-run for 1 hour to stabilize the ambient temperature inside the enclosure at 23±1℃ (or within the set value ±0.5℃), the relative humidity inside the enclosure at 45%~55%RH with fluctuations ≤±3%, and the refrigeration system pressure and airflow remain stable before proceeding to the formal test.

[0048] In step S01, the operating conditions in this application are designed according to the testing requirements of the inter-row air conditioning system of the customized power module. For example, the operating conditions include: a condition where all UPS load rates are less than the normal load operating load rate and one inter-row air conditioner fails; a condition where all UPS load rates are less than the normal load operating load rate and all inter-row air conditioners are operating normally; a condition where all UPS load rates are equal to the normal load operating load rate and one inter-row air conditioner fails; a condition where all UPS load rates are equal to the normal load operating load rate and all inter-row air conditioners are operating normally; and a condition where all UPS load rates are equal to the full load operating load rate and all inter-row air conditioners are operating normally. The normal load operating load rate and the full load operating load rate of the UPS load rate are set according to the power system architecture, for example, in... Figure 1 In the power module architecture shown, which consists of 4 inter-row units and 3 UPS units, the UPS load rate is 67.5% during normal load operation and 90% during full load operation.

[0049] In step S02, the second preset duration, also known as the sampling interval, can be, for example, 1 minute, 2 minutes, 3 minutes, 4 minutes, 5 minutes, 6 minutes, 7 minutes, 8 minutes, 9 minutes, 10 minutes, etc., and can be set as needed. The real-time temperature of each group of temperature sensors is collected every second preset duration for subsequent analysis.

[0050] Since each group of temperature sensors includes at least three temperature sensors, this application calculates the average of the real-time temperatures measured by multiple temperature sensors to obtain the average temperature value collected by each group of temperature sensors in this instance. By using multiple sensors at the top, middle, and bottom of the equipment along the height of the enclosure to collect real-time temperature data, and averaging the data at these three points, the overall temperature of the equipment can be accurately reflected, avoiding misjudgments caused by single-point temperatures being too high or too low.

[0051] Let the i-th sensor group have m temperature measurement points at the k-th data acquisition time. Then the average temperature of the i-th sensor group at the k-th measurement is... : ,in It is the temperature collected by the i-th group and the j-th sensor in the k-th time, where m≥3 (at least one temperature sensor each in the upper, middle and lower sections).

[0052] For example, in some embodiments, three temperature sensors are set as a group of temperature sensors at the top, middle and bottom along the height of the enclosure. The real-time temperature of each group of temperature sensors is collected every 5 minutes. For example, if the real-time temperature of the top temperature sensor is 23℃, the real-time temperature of the middle temperature sensor is 22℃ and the real-time temperature of the bottom temperature sensor is 21℃, then the average temperature value collected by this group of temperature sensors is (23℃+22℃+21℃) / 3=22℃. Thus, the average temperature value collected by each group of temperature sensors in the power module can be obtained.

[0053] In some embodiments, the inter-row air conditioning testing system further includes a data storage device and a display interface. The processor is configured to: control the storage of the average temperature values ​​collected by each group of temperature sensors in the data storage device according to the chronological order of collection time; and control the display of the average temperature values ​​collected by each group of temperature sensors in the data storage device as a visual line graph at a third preset time interval. The third preset time interval is not less than the second preset time interval and is generally set to an integer multiple of the second preset time interval. For example, the BMS platform collects the real-time temperature of each group of temperature sensors every 1 minute, obtains the average temperature value collected by each group of temperature sensors in this collection, and stores it in the data storage device according to the chronological order of collection time. The average temperature values ​​collected by each group of temperature sensors in the data storage device are displayed on the BMS display interface at 5-minute intervals as a visual line graph, and the data is updated according to real-time collection.

[0054] In step S03, the average temperatures from the same group of temperature sensors are arranged into an ordered sequence according to the sampling time. Essentially, this constructs a time series, transforming discrete temperature points into a time sequence for observing temperature rise and stabilization trends, providing a data basis for subsequent determination of thermal steady state (convergence temperature). For example, the i-th group of temperature sequences: T i,k It is the average temperature value collected by the i-th temperature sensor in the k-th sampling, k=1,2,3,...N, where N represents the total number of samplings.

[0055] In step S04, the convergence temperature corresponding to each group of temperature sensors is determined according to the temperature sequence, including the following steps: S0401: Subtract the average value of all items in the temperature series from each item in the temperature series corresponding to the same group of temperature sensors; S0402: Calculate the autocorrelation function of each term in a temperature series minus the average value; S0403: Based on the presence of ≥2 peaks in the autocorrelation function, the temperature series is determined to be periodic, and a periodic curve model is used to obtain the convergence temperature of the temperature series; the convergence temperature is equal to the time average of the periodic curve model. S0404: Based on the fact that the peak value of the autocorrelation function is less than 2, the temperature series is determined to be linear data fluctuation, and the convergence temperature of the temperature series is obtained by using a linear fluctuation model; the convergence temperature is the limit of the remaining part after removing the linear trend.

[0056] For example, in step S0401: Let the original temperature sequence of the i-th group of temperature sensors be: T k It is the average temperature value collected by the i-th temperature sensor in the k-th sampling.

[0057] The average value of the temperature series: .

[0058] The new sequence of temperature values ​​after removing the mean: k=1,2,3,……N.

[0059] In step S0402, the principle of the autocorrelation function is as follows: for a delay step τ, the autocorrelation value... : , The larger the value, the higher the signal repetition after the delay step τ. The delay step τ is the number of delay steps, or "how many data points to move forward". For example, τ=1: the entire sequence moves forward 1 step, equivalent to comparing each number with the number immediately following it; τ=2: the entire sequence moves forward 2 steps, equivalent to comparing each number with the number two immediately following it. N represents the total number of data acquisitions.

[0060] If the autocorrelation function in S0403 The presence of ≥2 distinct peaks indicates signal repetition, suggesting that the temperature series exhibits periodic fluctuations. This is because the autocorrelation function of a purely periodic signal will show consecutive peaks at integer multiples of the period, with the peak spacing equal to the period, thus resulting in multiple peaks.

[0061] For example, setting a delay step threshold ( (where the constant is a constant, such as 0.5, 0.6, 0.7, or any suitable value), if it satisfies If the signal repeats, it indicates that the temperature series is a periodic fluctuation. Otherwise, if the signal repeats, it indicates that there is no obvious repeating pattern, and the temperature series is a linear fluctuation.

[0062] For periodic fluctuating temperature series, the following steps are adopted: (1) Select a periodic temperature curve model, , where t is time, that is, the second preset time; ω is the angular frequency, determined by the period; a, b are the fluctuation amplitude coefficients; c is the DC component (long-term average temperature); (2) Use the least squares method to fit the temperature series values ​​and the above periodic temperature curve model, for example, to minimize the sum of squared errors between the fitted curve and the temperature series. Find the optimal coefficients using the least squares method. (3) Find the limit of a periodic signal for a periodic function: Its mathematical limit is: ,Right now Thus, the temperature series with periodic fluctuations is calculated to be a convergent value. .

[0063] If the autocorrelation function in S0404 If there are fewer than two peaks, it indicates the absence of a clear repetitive pattern, suggesting that the temperature series exhibits linear fluctuations. This is because monotonic / linear / convergent signals lack a repetitive structure, exhibit rapid autocorrelation decay, and only have a primary peak with no significant secondary peaks.

[0064] For linear data fluctuation temperature series, the following steps are adopted: (1) Select the mathematical model of linear fluctuation: Where k is the slope, c is a constant, and ε(t) is a small oscillation function. In the formula, t is time, ω is angular frequency, which is determined by the period, and A and B are fluctuation amplitude coefficients; (2) Calculate the slope k: ,when If the temperature is considered to be stabilizing, then the current temperature or the moving average is taken as the convergence value. , N is the total number of samplings, and D represents the sampling point of the Dth sampling. δ is the slope threshold for judging whether the temperature tends to stabilize. For example, δ can take a suitable minimum value such as 0.5, 0.6, 0.7, etc. The closer it is to 0, the more accurate it is. t1 and t2 are any two different time points, and both can satisfy t2 > t1.

[0065] In step S05, the determination that the prefabricated power module inter-row air conditioning system meets the operating requirements based on the fact that the convergence temperature of each group of temperature sensors corresponding to each electrical device is not greater than the preset temperature threshold corresponding to each electrical device under the operating condition further includes the following steps: S0501: Find the corresponding pass standard based on the described operating conditions; S0502: The prefabricated power module inter-row air conditioning system is determined to meet the operating requirements based on the following three conditions: First condition: The convergence temperature of each group of temperature sensors corresponding to each UPS is ≤ the UPS preset temperature threshold corresponding to the operating condition. Second item: The convergence temperature of each temperature sensor corresponding to each battery pack is less than or equal to the preset temperature threshold of the battery pack corresponding to the operating condition. The third condition is that the convergence temperature of each set of temperature sensors corresponding to each distribution cabinet is less than or equal to the preset temperature threshold of the distribution cabinet corresponding to the operating condition. Otherwise, if the above three conditions cannot be met simultaneously, the air conditioning system of the prefabricated power module is deemed to fail to meet the operating requirements, the air conditioning effect is deemed to be unsatisfactory, and the test fails.

[0066] The passing standards are determined based on the customer's customized needs, or can be set according to industry standards or empirical values. These passing standards include normal load passing standards, normal low load passing standards, abnormal operating condition passing standards, and full load passing standards. The normal low load passing standard applies when all UPS load rates are less than the normal load operating rate and one in-row air conditioner is faulty; the normal low load passing standard applies when all UPS load rates are less than the normal load operating rate and all in-row air conditioners are operating normally; the abnormal operating condition passing standard applies when all UPS load rates are equal to the normal load operating rate and one in-row air conditioner is faulty; the normal load passing standard applies when all UPS load rates are equal to the normal load operating rate and all in-row air conditioners are operating normally; and the full load passing standard applies when all UPS load rates are equal to the full load operating rate and all in-row air conditioners are operating normally.

[0067] Please refer to Table 1 below. For example, Table 1 is a list of exemplary test scenarios and operating conditions in this application. The operating conditions, pass criteria, and test conditions for multi-scenario testing of each prefabricated power module based on the above power module architecture in this application are as follows.

[0068] Scenario 1 to Scenario 5 simulate low-load operation with a UPS load rate of 30%. Scenario 1 to Scenario 4 simulate a situation where the UPS load rate is lower than the normal load operation rate and one in-row air conditioner fails: one of the air conditioners 71, 72, 73, and 74 is sequentially turned off, while the remaining three air conditioners operate in a 3+0 group control system (i.e., three air conditioning units operate simultaneously without a backup unit, and the three operating units are uniformly scheduled and managed by the group control system). The estimated test duration is 1 hour, and the passing standard adopts the normal low-load passing standard. In this application, the prefabricated power module air conditioning system is judged to be operating normally based on the convergence temperature of each group of temperature sensors corresponding to each electrical device not exceeding the preset temperature passing threshold corresponding to each electrical device under the operating condition. See Table 2 for examples of the passing standards for the prefabricated power module air conditioning system operation test under different operating conditions. The simulated UPS load rate is lower than the normal load operating load rate, and one in-row air conditioner fails. This corresponds to the normal low-load pass standard: The prefabricated power module's air conditioning system must simultaneously meet the following three conditions to be considered operating normally and meeting operational requirements: First, the convergence temperature of each set of temperature sensors for the first UPS 61, second UPS 62, and third UPS 63 must be less than or equal to the preset temperature pass threshold for the low-load UPS. For example, the preset temperature pass threshold for the low-load UPS is 30℃. Second, the convergence temperature of each set of temperature sensors for the battery pack must be less than or equal to the preset temperature pass threshold for the battery pack. For example, the preset temperature pass threshold for the battery pack is 30℃. Third, the convergence temperature of each set of temperature sensors for the distribution cabinet must be less than or equal to the preset temperature pass threshold for the distribution cabinet. For example, the preset temperature pass threshold for the distribution cabinet is 35℃.

[0069] Scenario 5 simulates a condition where the UPS load rate is lower than the normal load operating rate and all air conditioners in the rows are operating normally. In Scenario 5, air conditioners 71, 72, 73, and 74 are all running, using a 3+1 group control operation (i.e., 3 air conditioner units operate simultaneously, 1 standby unit, and the 4 operating air conditioner units are uniformly scheduled and managed by the group control system). The estimated test duration is 1 hour, and the passing standard is the standard for normal low-load operation. See Table 2 for examples of the passing standards for the prefabricated power module air conditioning system operation test under different operating conditions. The operating condition where the UPS load rate is lower than the normal load operating load rate and the inter-row air conditioners are all operating normally corresponds to the normal low load pass standard: that is, the following three conditions must be met simultaneously to determine that the air conditioning system of the prefabricated power module is operating normally and can meet the operating requirements: First, the convergence temperature of each set of temperature sensors corresponding to the first UPS 61, the second UPS 62, and the third UPS 63 is less than or equal to the preset temperature pass threshold of the UPS under low load conditions. For example, the preset temperature pass threshold of the UPS under low load conditions is 30℃; Second, the convergence temperature of each set of temperature sensors corresponding to the battery pack is less than or equal to the preset temperature pass threshold of the battery pack under low load conditions. For example, the preset temperature pass threshold of the battery pack under low load conditions is 30℃; Third, the convergence temperature of each set of temperature sensors corresponding to the distribution cabinet is less than or equal to the preset temperature pass threshold of the distribution cabinet under low load conditions. For example, the preset temperature pass threshold of the distribution cabinet under low load conditions is 35℃.

[0070] Scenario 6 through Scenario 9 simulate a UPS load rate equal to the normal load operation rate, with one in-row air conditioner malfunctioning: One of the air conditioners (71, 72, 73, and 74) is sequentially shut down, while the remaining three air conditioners operate under a 3+0 group control system (i.e., all three air conditioning units operate simultaneously without backup; the three operating units are centrally scheduled and managed by the group control system). The estimated test duration is 1 hour, and the passing standard adopts the non-normal operating condition passing standard. See Table 2 for exemplary examples of the passing standards for the prefabricated power module air conditioning system operation test under different operating conditions. The abnormal operating condition standard is defined as follows: the prefabricated power module air conditioning system is considered to be operating normally and meeting the operating requirements if all UPS load rates are equal to the normal load operating rate and one in-row air conditioner fails. Specifically, the following three conditions must be met simultaneously: First, the convergence temperature of each set of temperature sensors for the first UPS 61, the second UPS 62, and the third UPS 63 must be less than or equal to the preset temperature threshold for abnormal operating conditions. For example, the preset temperature threshold for abnormal operating conditions is 35°C. Second, the convergence temperature of each set of temperature sensors for the battery pack must be less than or equal to the preset temperature threshold for abnormal operating conditions. For example, the preset temperature threshold for abnormal operating conditions is 30°C. Third, the convergence temperature of each set of temperature sensors for the distribution cabinet must be less than or equal to the preset temperature threshold for abnormal operating conditions of the distribution cabinet. For example, the preset temperature threshold for abnormal operating conditions of the distribution cabinet is 35°C.

[0071] Scenario 10 simulates a condition where the UPS load rate is equal to the normal load operating load rate and all air conditioners in the rows are operating normally: Air conditioners 71, 72, 73, and 74 are all running, using a 3+1 group control operation (i.e., 3 air conditioner units are running simultaneously, 1 is on standby, and the 4 running air conditioner units are uniformly scheduled and managed by the group control system). The estimated test duration is 1 hour, and the passing standard is the same as that for a normal load. See Table 2 for examples of the passing standards for the prefabricated power module air conditioning system operation test under different operating conditions. The standard for normal load operation is that the UPS load rate is equal to the normal load operating load rate and the air conditioners in the rows are all operating normally. Specifically, the following three conditions must be met simultaneously to determine that the air conditioning system of the prefabricated power module is operating normally and meets the operational requirements: First, the convergence temperature of each set of temperature sensors for the first UPS 61, the second UPS 62, and the third UPS 63 is less than or equal to the preset temperature threshold for normal load operation of the UPS. For example, the preset temperature threshold for normal load operation of the UPS is 30℃. Second, the convergence temperature of each set of temperature sensors for the battery pack is less than or equal to the preset temperature threshold for normal load operation of the battery pack. For example, the preset temperature threshold for normal load operation of the battery pack is 30℃. Third, the convergence temperature of each set of temperature sensors for the distribution cabinet is less than or equal to the preset temperature threshold for normal load operation of the distribution cabinet. For example, the preset temperature threshold for normal load operation of the distribution cabinet is 35℃.

[0072] Scenario 11 simulates a condition where all UPS load rates are equal to the full-load operating load rate and all air conditioners in the rows are operating normally: Air conditioners 71, 72, 73, and 74 are all running, using a 3+1 group control system (i.e., 3 air conditioning units operate simultaneously, 1 standby unit, and the 4 operating air conditioning units are uniformly scheduled and managed by the group control system). The estimated test duration is 1 hour, and the passing standard is the full-load passing standard. See Table 2 for exemplary examples of the passing standards for the prefabricated power module air conditioning system operation test under different operating conditions. The operating condition where the UPS load rate is equal to the full-load operating load rate and the air conditioners in each row are operating normally corresponds to the full-load pass standard: that is, the air conditioning system of the prefabricated power module can be judged to be operating normally and meeting the operating requirements only if the following three conditions are met simultaneously: First, the convergence temperature of each set of temperature sensors corresponding to the first UPS 61, the second UPS 62, and the third UPS 63 is less than or equal to the preset temperature pass threshold of the UPS under full-load conditions. For example, the preset temperature pass threshold of the UPS under full-load conditions is 35℃; Second, the convergence temperature of each set of temperature sensors corresponding to the battery pack is less than or equal to the preset temperature pass threshold of the battery pack under full-load conditions. For example, the preset temperature pass threshold of the battery pack under full-load conditions is 30℃; Third, the convergence temperature of each set of temperature sensors corresponding to the distribution cabinet is less than or equal to the preset temperature pass threshold of the distribution cabinet under full-load conditions. For example, the preset temperature pass threshold of the distribution cabinet under full-load conditions is 35℃.

[0073] Table 1

[0074] Table 2

[0075] The above embodiments of this application provide a system-level method for testing the inter-row air conditioning of prefabricated power modules in data centers. This method provides a reliable, end-to-end approach for factory testing of the inter-row air conditioning performance of prefabricated power module products, ensuring the reliability of the inter-row air conditioning during actual operation within the power module product and avoiding problems such as insufficient cooling, abnormal air ducts, and improper air conditioning matching only after the module arrives on-site. Simultaneously, this application designs a wireless thermometer deployment system to eliminate errors caused by temperature gradients along the vertical direction, resulting in more accurate and reliable temperature measurements. Combined with a BMS / processor, it achieves automatic temperature acquisition and real-time visualization, reducing the workload of personnel constantly entering and exiting the module to record temperature data and minimizing the impact of personnel movement on the reliability of test data. Furthermore, this application uses a temperature-time series convergence calculation method to shorten the simulation running time, solving the problem of prolonged test durations due to temperature data not stabilizing over long periods in some scenarios. Secondly, this application also provides multi-scenario and multi-condition testing methods and pass standards, ensuring the reliability of the conclusions from the inter-row air conditioning joint testing of power module products and achieving comprehensive verification and accurate evaluation of the performance of the prefabricated power module inter-row air conditioning system.

[0076] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A test system for inter-row air conditioning of prefabricated power modules in a data center, characterized in that, The prefabricated power module includes a cabinet and UPS, battery packs, distribution cabinets, and inter-row air conditioners installed inside the cabinet. The UPS and inter-row air conditioners are arranged alternately, starting with and ending with an inter-row air conditioner. Each UPS and each battery pack is equipped with a set of temperature sensors, and at least every two distribution cabinets are equipped with a set of temperature sensors. Each set of temperature sensors includes at least three temperature sensors, which are respectively installed at the top, middle, and bottom of the electrical equipment along the height of the cabinet. The inter-row air conditioning test system also includes a processor, which is configured to: The operating conditions of the prefabricated power module are set, and the operation of the prefabricated power module is controlled after the inter-row air conditioner has been running for a first preset time according to standard parameters; The system collects the real-time temperature of each group of temperature sensors every second preset time interval, and obtains the average temperature value collected by each group of temperature sensors in this instance. The average temperature values ​​are arranged in chronological order of acquisition time to form a temperature sequence corresponding to each group of temperature sensors; the convergence temperature corresponding to each group of temperature sensors is determined based on the temperature sequence. Based on the fact that the convergence temperature of each set of temperature sensors corresponding to each electrical device is not greater than the preset temperature threshold corresponding to each electrical device under the operating condition, it is determined that the inter-row air conditioning system of the prefabricated power module meets the operating requirements.

2. The inter-row air conditioning test system for prefabricated power modules in a data center according to claim 1, characterized in that, The operating conditions include: all UPS load rates are less than the normal load operating load rate and one in-row air conditioner is faulty; all UPS load rates are less than the normal load operating load rate and all in-row air conditioners are operating normally; all UPS load rates are equal to the normal load operating load rate and one in-row air conditioner is faulty; all UPS load rates are equal to the normal load operating load rate and all in-row air conditioners are operating normally; and all UPS load rates are equal to the full load operating load rate and all in-row air conditioners are operating normally.

3. The inter-row air conditioning test system for prefabricated power modules in a data center according to claim 1, characterized in that, The inter-row air conditioning test system also includes a data storage device and a display interface, and the processor is configured as follows: The controller stores the average temperature value collected by each set of temperature sensors in the data memory according to the order of collection time. The controller displays the average temperature values ​​collected by each group of temperature sensors in the data storage as a visual line graph at a third preset time interval.

4. The inter-row air conditioning test system for prefabricated power modules in a data center according to claim 3, characterized in that, The inter-row air conditioning system of the prefabricated power modules meets the following pass standards for operation requirements: normal load pass standard, normal low load pass standard, abnormal operating condition pass standard, and full load pass standard. The following conditions are considered normal low-load passing standards: all UPS load rates are less than the normal load operating load rate and one in-row air conditioner is faulty; all UPS load rates are less than the normal load operating load rate and all in-row air conditioners are operating normally; all UPS load rates are equal to the normal load operating load rate and one in-row air conditioner is faulty; all UPS load rates are equal to the normal load operating load rate and all in-row air conditioners are operating normally; and all UPS load rates are equal to the full load operating load rate and all in-row air conditioners are operating normally.

5. A method for testing inter-row air conditioning in prefabricated power modules for data centers, characterized in that, The prefabricated power module includes a cabinet and UPS, battery packs, distribution cabinets, and inter-row air conditioners installed inside the cabinet. The UPS and inter-row air conditioners are arranged alternately, starting with and ending with an inter-row air conditioner. Each UPS and each battery pack is equipped with a set of temperature sensors, and at least every two distribution cabinets are equipped with a set of temperature sensors. Each set of temperature sensors includes at least three temperature sensors, which are respectively installed at the top, middle, and bottom of the electrical equipment along the height of the cabinet. The inter-row air conditioning test method includes the following steps: The operating conditions of the prefabricated power module are set, and the operation of the prefabricated power module is controlled after the inter-row air conditioner has been running for a first preset time according to standard parameters; The real-time temperature of each group of temperature sensors is collected every second preset time interval to obtain the average temperature value collected by each group of temperature sensors in this time. The average temperature values ​​of the same group of temperature sensors are arranged in chronological order of acquisition time to form a temperature sequence corresponding to each group of temperature sensors. The convergence temperature corresponding to each group of temperature sensors is determined based on the temperature sequence. If the convergence temperature of each set of temperature sensors corresponding to each electrical device is not greater than the preset temperature threshold corresponding to each electrical device under the operating condition, then the prefabricated power module inter-row air conditioning system is determined to meet the operating requirements.

6. The inter-row air conditioning test method for prefabricated power modules in a data center according to claim 5, characterized in that, The inter-row air conditioning test method also includes the following steps: Before starting the operational condition test, set the standard parameters for the inter-row air conditioner and run it for the first preset duration.

7. The inter-row air conditioning test method for prefabricated power modules in a data center according to claim 5, characterized in that, Determining the convergence temperature corresponding to each group of temperature sensors based on the temperature sequence includes the following steps: Subtract the average of all terms in the temperature series from each term in the series; Calculate the autocorrelation function of each term in the temperature series minus the average value; Based on the presence of ≥2 peaks in the autocorrelation function, the temperature series is determined to be periodic, and the convergence temperature of the temperature series is obtained using a periodic curve model. Based on the fact that the peak value of the autocorrelation function is less than 2, the temperature series is determined to be linear data fluctuation, and the convergence temperature of the temperature series is obtained by using a linear fluctuation model.

8. The inter-row air conditioning test method for prefabricated power modules in a data center according to claim 5, characterized in that, The step of determining that the inter-row air conditioning system of the prefabricated power modules meets the operating requirements based on the fact that the convergence temperature of each group of temperature sensors corresponding to each electrical device is not greater than the preset temperature threshold corresponding to each electrical device under the operating condition includes the following steps: Find the corresponding pass standard based on the described operating conditions; The prefabricated power module inter-row air conditioning system is deemed to meet the operating requirements if the following three conditions are met simultaneously: First condition: The convergence temperature of each group of temperature sensors corresponding to each UPS is ≤ the UPS preset temperature threshold corresponding to the operating condition. Second item: The convergence temperature of each temperature sensor corresponding to each battery pack is less than or equal to the preset temperature threshold of the battery pack corresponding to the operating condition. The third item: The convergence temperature of each set of temperature sensors corresponding to each distribution cabinet is less than or equal to the preset temperature threshold of the distribution cabinet corresponding to the operating condition.

9. A method for testing inter-row air conditioning of prefabricated power modules in a data center according to claim 8, characterized in that, The operating conditions include: all UPS load rates are less than the normal load operating load rate and one in-row air conditioner is faulty; all UPS load rates are less than the normal load operating load rate and all in-row air conditioners are operating normally; all UPS load rates are equal to the normal load operating load rate and one in-row air conditioner is faulty; all UPS load rates are equal to the normal load operating load rate and all in-row air conditioners are operating normally; and all UPS load rates are equal to the full load operating load rate and all in-row air conditioners are operating normally.

10. A method for testing inter-row air conditioning of prefabricated power modules in a data center according to claim 9, characterized in that, The passing standards include normal load passing standards, normal low load passing standards, abnormal operating condition passing standards, and full load passing standards; The following conditions are considered normal low-load passing standards: all UPS load rates are less than the normal load operating load rate and one in-row air conditioner is faulty; all UPS load rates are less than the normal load operating load rate and all in-row air conditioners are operating normally; all UPS load rates are equal to the normal load operating load rate and one in-row air conditioner is faulty; all UPS load rates are equal to the normal load operating load rate and all in-row air conditioners are operating normally; and all UPS load rates are equal to the full load operating load rate and all in-row air conditioners are operating normally.

Images