Loss reduction method for improving power distribution efficiency of micro-module data center

Abstract

The invention relates to the technical field of data centers, in particular to a loss reduction method for improving power distribution efficiency of a micro-module data center, which comprises the following steps of: S1, carrying out detailed load evaluation on all equipment in the micro-module data center to optimize layout and load distribution of the equipment; s2, performing on-site attempts by investigating market power supply equipment; s3, an existing power distribution network architecture is comprehensively analyzed, and redundant configuration is added in a key area; and S4, sensors are installed on all key nodes of the data center to collect sensor data and analyze energy consumption. According to the invention, a worker records and analyzes the power requirements of each device in different use modes, identifies a high-load area and a potential low-efficiency use mode, optimizes power load distribution according to a result, ensures load balance, realizes efficient utilization of resources, reduces energy waste, and improves the power utilization efficiency. And the operation efficiency of the whole system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data centers, and in particular to a method for reducing losses for improving power distribution efficiency of a micromodule data center. Background Art

[0002] The micro-module data center divides the data center site into micro-modules according to industry standards, and divides the entire data center into independent areas. Each area is designed according to unified standards to cope with changes in servers such as cloud computing, virtualization, centralization, and high density, improve operational efficiency, reduce energy consumption, and achieve rapid expansion without affecting each other. The micro-module data center is composed of multiple micro-modules with independent functions and unified input and output interfaces. Micro-modules in different areas can back up each other, and form a complete data center through permutations and combinations.

[0003] However, in the prior art, the power load distribution method used in existing data centers often lacks accurate power demand analysis, which makes it difficult to identify high-load areas and inefficient usage patterns, which not only increases energy waste, but also reduces the overall operating efficiency of the system. Secondly, when selecting and introducing power supply equipment, due to the lack of on-site testing and performance verification, it is easy to cause mismatch and inefficiency problems, affecting the efficient operation of the power distribution system. In addition, traditional data centers lack real-time data collection and detailed energy consumption analysis methods, making it difficult to identify and optimize high-energy consumption equipment and inefficient operating areas in a timely manner. Therefore, we provide a method for reducing losses for improving the power distribution efficiency of micro-module data centers. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the first object of the present invention is to provide a method for reducing losses for improving the power distribution efficiency of a micromodule data center, so as to solve the problems in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for reducing power loss for improving power distribution efficiency of a micromodule data center comprises the following steps:

[0007] S1. Conduct detailed load assessment on all equipment in the micro-module data center to optimize equipment layout and load distribution;

[0008] S2. Conduct field trials by investigating power supply equipment on the market;

[0009] S3. Through comprehensive analysis of the existing distribution network architecture and adding redundancy configuration in key areas;

[0010] S4. Collect sensor data and analyze energy consumption by installing sensors at key nodes in the data center.

[0011] The present invention is further configured as follows: in step S1:

[0012] S1.1. List all the equipment in the data center and measure the actual power consumption of each device by using a power meter or intelligent PDU. Organize the measured data into a table or database format.

[0013] S1.2. Analyze the collected data by combining the power consumption data of the device and the specific business processing tasks performed by each device in the corresponding micromodule data center using statistical analysis tools to evaluate the performance utilization of each device;

[0014] S1.3. Develop a plan for equipment re-layout based on the load assessment results, redistribute the power load, and monitor the equipment load in real time.

[0015] The present invention is further configured as follows: in step S2:

[0016] S2.1. Conduct market research based on the evaluation and optimization results, and select power supply devices for performance comparison based on the research results, focusing on evaluating the energy efficiency index, load handling capacity, output stability, conversion time and service life of each device to select the optimal power supply;

[0017] S2.2. Build a simulation environment in the data center and prepare actual loads to test the selected power supply equipment and develop a comparative test plan with the existing power supply in the data center;

[0018] S2.3. Measure the efficiency performance of each power supply device under different loads, simulate different power failure scenarios to test the equipment's response capabilities and collect test data from both, so as to select the optimal power supply for installation.

[0019] The present invention is further configured as follows: in step S3:

[0020] S3.1. Collect all relevant documents and data of the existing power distribution network based on the existing data center equipment, and manually analyze the structure of the existing power distribution network to identify key areas and the current redundant configuration;

[0021] S3.2. Determine the specific areas and nodes that need to add redundant configuration, design redundant configuration solutions, select dual power supply switches and design their specific layout in the power distribution network;

[0022] S3.3. Install and debug redundant equipment in key areas, conduct switching tests to simulate failure scenarios, and verify whether the redundant equipment can take over the load in time when the main equipment fails to ensure uninterrupted power supply.

[0023] The present invention is further configured as follows: in step S4:

[0024] S4.1. Install the ABC-100A sensor at the input of each PDU and use shielded cables for wiring;

[0025] S4.2, connecting the sensor to the data acquisition device by using an interface and configuring the communication protocol of the data acquisition device;

[0026] S4.3, randomly select power and temperature data, let them be measured manually and compared with the sensor data;

[0027] S4.4. Set the data collection frequency to once per second and store the data on the local hard disk, and automatically back up to the remote server every day.

[0028] The present invention is further configured as follows: in step S4.2:

[0029] S4.2.1. Determine whether the interface types used by the sensor and data acquisition equipment are all RS485 interfaces. If direct connection through the RS485 interface is not possible, a converter can be used for the connection;

[0030] S4.2.2. Connect the output port of the sensor to the corresponding interface of the data acquisition device through the connecting cable by using the RS485 twisted pair cable;

[0031] S4.2.3, set the BACnet communication protocol according to the output format of the sensor and the requirements of the data acquisition device;

[0032] S4.2.4. Complete all connections and configurations to conduct preliminary connection tests and verify the accuracy of the data to see if it is consistent with the expected values.

[0033] The present invention is further configured as follows: the calibration step of the sensor is first performed by inputting known standard power and temperature values ​​to calibrate the sensor to ensure that its output data is consistent with the standard value, and then the installed sensor is regularly maintained and recalibrated to ensure data accuracy after long-term use.

[0034] The present invention is further configured as follows: the management of the redundant configuration can automatically detect the status of redundant equipment and automatically switch to the backup power supply when a fault occurs through software-controlled switching and status monitoring of redundant power supplies, and ensure that the redundant configuration immediately notifies maintenance personnel for processing when problems occur through log recording and alarm mechanisms.

[0035] The present invention is further configured as follows: the long-term testing and monitoring installation data acquisition of the power supply equipment performs a long-term operation test on the selected power supply equipment to monitor the load response and energy efficiency performance of the equipment in real time, and evaluates its maintenance needs and potential failure risks by analyzing the performance changes of each power supply equipment during long-term operation.

[0036] The present invention is further configured as follows: in step S4, energy recovery equipment is introduced into the cooling and power distribution network of the data center through energy recovery and utilization, and the excess heat generated by the operation of the equipment is converted into electrical energy and re-transmitted back to the power network; in this process, the effect of energy recovery is monitored and analyzed, and its contribution to the overall energy efficiency improvement is evaluated.

[0037] Beneficial Effects

[0038] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0039] 1. In the present invention, the staff records and analyzes the power requirements of each device under different usage modes, identifies high-load areas and potential inefficient usage modes, and optimizes the power load distribution based on the results to ensure load balance, thereby achieving efficient use of resources, reducing energy waste, and improving the operating efficiency of the overall system. In the process of selecting and introducing the optimal power supply equipment, the high efficiency and applicability of the new equipment are ensured through on-site testing and performance verification. After the high-efficiency power supply equipment is successfully integrated into the existing power distribution system, a distributed power supply solution is designed and implemented, which effectively reduces the pressure on a single power supply point. By increasing the redundant configuration of key areas, it is ensured that the system can still operate efficiently in the event of equipment failure, thereby greatly improving the stability and reliability of the system.

[0040] 2. In the present invention, by installing sensors at key nodes in the data center, real-time data collection and storage are achieved, and the energy consumption patterns of equipment and systems are analyzed in detail. After identifying high-energy-consuming equipment and inefficient operating areas, the power utilization efficiency is calculated and compared with industry standards, providing a scientific basis for subsequent optimization. In order to ensure the stability of data collection, the staff connects the output port of the sensor to the data acquisition device and configures the communication parameters to match it under the BACnet protocol. The use of the BACnet protocol not only improves the interoperability, flexibility and scalability between equipment and systems, but also significantly improves energy management efficiency and system security. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flow chart of a method for reducing losses for improving power distribution efficiency of a micromodule data center according to the present invention;

[0042] Figure 2 Detailed flow chart of step S4 of a method for reducing power loss in a micromodule data center for improving power distribution efficiency of the present invention

[0043] Figure 3 The figure is a specific flow chart of step S4.2 of a method for reducing losses for improving the power distribution efficiency of a micromodule data center according to the present invention. DETAILED DESCRIPTION

[0044] In order to more clearly illustrate the overall concept of the present invention, a detailed description is given below in an exemplary manner in conjunction with the accompanying drawings.

[0045] It should be noted that many specific details are set forth in the following description to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0046] In addition, in the description of the present invention, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0047] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral one; it can be directly connected, or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. However, if it is indicated as a direct connection, it means that the two connected bodies are not connected through an intermediate structure, but are only connected to form a whole through a connecting structure. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0048] In the present invention, unless otherwise clearly specified and limited, the first feature "on" or "under" the second feature may be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in an appropriate manner in any one or more embodiments or examples.

[0049] The present invention will be further described below in conjunction with the embodiments.

[0050] Example 1

[0051] like Figure 1-2 As shown, the present invention provides a technical solution: a method for reducing losses for improving the power distribution efficiency of a micromodule data center, comprising the following steps:

[0052] S1. Conduct detailed load assessment on all equipment in the micro-module data center to optimize equipment layout and load distribution;

[0053] S2. Conduct field trials by investigating power supply equipment on the market;

[0054] S3. Through comprehensive analysis of the existing distribution network architecture and adding redundancy configuration in key areas;

[0055] S4, collect sensor data and analyze energy consumption by installing sensors at each key node in the data center;

[0056] In step S1:

[0057] S1.1. List all the equipment in the data center and measure the actual power consumption of each device by using a power meter or intelligent PDU. Organize the measured data into a table or database format.

[0058] S1.2. Analyze the collected data by combining the power consumption data of the device and the specific business processing tasks performed by each device in the corresponding micromodule data center using statistical analysis tools to evaluate the performance utilization of each device;

[0059] S1.3. Develop a plan for equipment re-layout based on the load assessment results to redistribute the power load and monitor the equipment load in real time;

[0060] In step S2:

[0061] S2.1. Conduct market research based on the evaluation and optimization results, and select power supply devices for performance comparison based on the research results, focusing on evaluating the energy efficiency index, load handling capacity, output stability, conversion time and service life of each device to select the optimal power supply;

[0062] S2.2. Build a simulation environment in the data center and prepare actual loads to test the selected power supply equipment and develop a comparative test plan with the existing power supply in the data center;

[0063] S2.3. Measure the efficiency performance of each power supply device under different loads, simulate different power failure scenarios to test the equipment's response capabilities and collect test data from both, so as to select the optimal power supply for installation;

[0064] In step S3:

[0065] S3.1. Collect all relevant documents and data of the existing power distribution network based on the existing data center equipment, and manually analyze the structure of the existing power distribution network to identify key areas and the current redundant configuration;

[0066] S3.2. Determine the specific areas and nodes that need to add redundant configuration, design redundant configuration solutions, select dual power supply switches and design their specific layout in the power distribution network;

[0067] S3.3. Install and debug redundant equipment in key areas, conduct switching tests to simulate failure scenarios, and verify whether the redundant equipment can take over the load in time to ensure uninterrupted power supply when the main equipment fails;

[0068] In step S4:

[0069] S4.1. Install the ABC-100A sensor at the input of each PDU and use shielded cables for wiring;

[0070] S4.2, connecting the sensor to the data acquisition device by using an interface and configuring the communication protocol of the data acquisition device;

[0071] S4.3, randomly select power and temperature data, let them be measured manually and compared with the sensor data;

[0072] S4.4, set the data collection frequency to once per second and store the data on the local hard disk, and automatically back up to the remote server every day;

[0073] The sensor calibration step firstly calibrates the sensor by inputting known standard power and temperature values ​​to ensure that its output data is consistent with the standard value, and then regularly maintains and recalibrates the installed sensor to ensure the data accuracy after long-term use;

[0074] The management of the redundant configuration can automatically detect the status of redundant equipment and automatically switch to the backup power supply when a failure occurs through software control of the switching and status monitoring of redundant power supplies, and ensure that the redundant configuration immediately notifies the maintenance personnel for processing through log recording and alarm mechanisms when problems occur;

[0075] The long-term testing and monitoring installation data collection of the power supply equipment conducts a long-term operation test on the selected power supply equipment to monitor the load response and energy efficiency performance of the equipment in real time, and evaluates its maintenance needs and potential failure risks by analyzing the performance changes of each power supply equipment during long-term operation;

[0076] In step S4, energy recovery equipment is introduced into the cooling and power distribution network of the data center through energy recovery and utilization, and the excess heat generated by the operation of the equipment is converted into electrical energy and re-transmitted back to the power network; in this process, the effect of energy recovery is monitored and analyzed to evaluate its contribution to the overall energy efficiency improvement.

[0077] In this embodiment, during actual use, the staff can first conduct a detailed load assessment of all equipment in the micromodule data center, record the power requirements of each device under different usage modes, analyze the distribution of equipment loads, identify high-load areas and potential inefficient usage modes, and optimize the distribution of power loads based on the analysis results to ensure load balancing and efficient use of resources. After that, the power supply equipment evaluation data of this data center is compared and screened with the power supply equipment available on the market to select the optimal power supply equipment and conduct on-site testing before introducing it into the new power supply equipment. The selected high-efficiency power supply equipment is integrated into the existing power distribution system for performance monitoring. After that, a comprehensive analysis is conducted on the data center after the new power supply is integrated to find out the inefficient or high-loss parts, design and implement a distributed power supply solution, reduce the pressure on a single power supply point, and increase redundant configuration in key areas to ensure that the system can maintain efficient operation even if some equipment fails, thereby further improving its stability during actual use.

[0078] Among them: By installing sensors at various key nodes in the data center, sensor data is collected and stored in real time to analyze the energy consumption patterns of equipment and systems, identify high-energy-consuming equipment and inefficient operating areas, calculate the corresponding power usage efficiency and compare it with industry standards.

[0079] Example 2

[0080] like Figure 1-3 As shown, the present invention provides a technical solution: a method for reducing losses for improving the power distribution efficiency of a micromodule data center, wherein in step S4.2:

[0081] S4.2.1. Determine whether the interface types used by the sensor and data acquisition equipment are all RS485 interfaces. If direct connection through the RS485 interface is not possible, a converter can be used for the connection;

[0082] S4.2.2. Connect the output port of the sensor to the corresponding interface of the data acquisition device through the connecting cable by using the RS485 twisted pair cable;

[0083] S4.2.3, set the BACnet communication protocol according to the output format of the sensor and the requirements of the data acquisition device;

[0084] S4.2.4. Complete all connections and configurations to conduct preliminary connection tests and verify the accuracy of the data to see if it is consistent with the expected values.

[0085] In this embodiment, in order to make the collected data more stable during actual use, the output port of the sensor is connected to the corresponding interface of the data acquisition device through a connecting cable, and the communication parameters such as the baud rate, data bit, stop bit and check bit of the data acquisition device are configured to match the communication with the sensor under the BACnet protocol setting. The use of the BACnet protocol can achieve high interoperability, flexibility and scalability between devices and systems, while improving energy management efficiency and system security, and reducing overall ownership and maintenance costs, thereby further improving its practicality in actual use.

[0086] The present invention:

[0087] In actual use, the staff can first conduct a detailed load assessment of all equipment in the micro-module data center, which includes recording the power requirements of each device under different usage modes, analyzing the distribution of equipment loads, identifying high-load areas and potential inefficient usage patterns, and optimizing the distribution of power loads based on these analysis results to ensure load balancing to achieve efficient use of resources. Next, the evaluation data of the data center power supply equipment is compared and screened with the power supply equipment available on the market to select the optimal power supply equipment. Then, before introducing these high-efficiency power supply equipment, on-site testing is required to ensure that their performance meets expectations.

[0088] After successfully integrating high-efficiency power supply equipment into the existing power distribution system, staff need to conduct a comprehensive analysis of the entire data center to identify inefficient or high-loss parts. By designing and implementing a distributed power supply solution, the pressure on a single power supply point can be reduced, and redundant configuration can be added in key areas to ensure that even if some equipment fails, the system can still operate efficiently, thereby improving the stability of the entire system.

[0089] By installing sensors at various key nodes in the data center, data is collected and stored in real time, the energy consumption patterns of equipment and systems are analyzed, high-energy-consuming equipment and inefficient operating areas are identified, and then the power usage efficiency is calculated and compared with industry standards. In order to ensure the stability of the collected data, the output port of the sensor is connected to the corresponding interface of the data acquisition device through a connecting cable, and the communication parameters such as the baud rate, data bit, stop bit and check bit of the data acquisition device are configured to match them under the BACnet protocol settings. The use of the BACnet protocol can achieve high interoperability, flexibility and scalability between devices and systems, while improving energy management efficiency and system security, and reducing overall ownership and maintenance costs.

[0090] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention (including the claims) is limited to these examples. Under the concept of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity.

[0091] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for reducing power loss for improving power distribution efficiency of a micromodule data center, characterized in that: The following steps are involved: S1. Conduct detailed load assessment on all equipment in the micro-module data center to optimize equipment layout and load distribution; S2. Conduct field trials by investigating power supply equipment on the market; S3. Through comprehensive analysis of the existing distribution network architecture and adding redundancy configuration in key areas; S4. Collect sensor data and analyze energy consumption by installing sensors at key nodes in the data center.

2. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 1, characterized in that: In step S1: S1.

1. List all the equipment in the data center and measure the actual power consumption of each device by using a power meter or intelligent PDU. Organize the measured data into a table or database format. S1.

2. Analyze the collected data by combining the power consumption data of the device and the specific business processing tasks performed by each device in the corresponding micromodule data center using statistical analysis tools to evaluate the performance utilization of each device; S1.

3. Develop a plan for equipment re-layout based on the load assessment results, redistribute the power load, and monitor the equipment load in real time.

3. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 1, characterized in that: In step S2: S2.

1. Conduct market research based on the evaluation and optimization results, and select power supply devices for performance comparison based on the research results, focusing on evaluating the energy efficiency index, load handling capacity, output stability, conversion time and service life of each device to select the optimal power supply; S2.

2. Build a simulation environment in the data center and prepare actual loads to test the selected power supply equipment and develop a comparative test plan with the existing power supply in the data center; S2.

3. Measure the efficiency performance of each power supply device under different loads, simulate different power failure scenarios to test the equipment's response capabilities and collect test data from both, so as to select the optimal power supply for installation.

4. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 1, characterized in that: In step S3: S3.

1. Collect all relevant documents and data of the existing power distribution network based on the existing data center equipment, and manually analyze the structure of the existing power distribution network to identify key areas and the current redundant configuration; S3.

2. Determine the specific areas and nodes that need to add redundant configuration, design redundant configuration solutions, select dual power supply switches and design their specific layout in the power distribution network; S3.

3. Install and debug redundant equipment in key areas, conduct switching tests to simulate failure scenarios, and verify whether the redundant equipment can take over the load in time when the main equipment fails to ensure uninterrupted power supply.

5. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 1, characterized in that: In step S4: S4.

1. Install the ABC-100A sensor at the input of each PDU and use shielded cables for wiring; S4.2, connecting the sensor to the data acquisition device by using an interface and configuring the communication protocol of the data acquisition device; S4.3, randomly select power and temperature data, let them be measured manually and compared with the sensor data; S4.

4. Set the data collection frequency to once per second and store the data on the local hard disk, and automatically back up to the remote server every day.

6. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 5, characterized in that: In step S4.2: S4.2.

1. Determine whether the interface types used by the sensor and data acquisition equipment are all RS485 interfaces. If direct connection through the RS485 interface is not possible, a converter can be used for the connection; S4.2.

2. Connect the output port of the sensor to the corresponding interface of the data acquisition device through the connecting cable by using the RS485 twisted pair cable; S4.2.3, set the BACnet communication protocol according to the output format of the sensor and the requirements of the data acquisition device; S4.2.

4. Complete all connections and configurations to conduct preliminary connection tests and verify the accuracy of the data to see if it is consistent with the expected values.

7. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 5, characterized in that: The sensor calibration procedure first calibrates the sensor by inputting known standard power and temperature values ​​to ensure that its output data matches the standard values, and then regularly maintains and recalibrates the installed sensor to ensure data accuracy after long-term use.

8. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 4, characterized in that: The management of the redundant configuration can automatically detect the status of redundant equipment and automatically switch to the backup power supply when a failure occurs through software-controlled switching and status monitoring of redundant power supplies, and ensure that the redundant configuration immediately notifies maintenance personnel for processing when problems occur through log recording and alarm mechanisms.

9. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 3, characterized in that: The long-term testing and monitoring installation data acquisition of the power supply equipment conducts a long-term operation test on the selected power supply equipment to monitor the load response and energy efficiency performance of the equipment in real time, and evaluates its maintenance needs and potential failure risks by analyzing the performance changes of each power supply equipment during long-term operation.

10. A method for reducing losses for improving power distribution efficiency of a micromodule data center according to claim 1, characterized in that: In step S4, energy recovery equipment is introduced into the cooling and power distribution network of the data center through energy recovery and utilization, and the excess heat generated by the operation of the equipment is converted into electrical energy and re-transmitted back to the power network; in this process, the effect of energy recovery is monitored and analyzed to evaluate its contribution to the overall energy efficiency improvement.

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