Machine room power environment configuration method and device, computer equipment and storage medium

Abstract

The invention relates to the field of machine room management, and discloses a machine room power environment configuration method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the existing power environment information and transformation demand information of a machine room; scoring the existing dynamic environment information through a preset scoring model to obtain a multi-dimensional environment index score; and determining a machine room environment target configuration scheme according to the multi-dimensional environment index score and the transformation demand information. According to the method, the scientific and reasonable environment target configuration scheme is formulated by obtaining the existing power environment information of the machine room, evaluating the multi-dimensional environment index score and combining the multi-dimensional environment index score and the transformation demand information, the operation efficiency, reliability and safety of the machine room are improved, and the operation cost is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of machine room management, and in particular to a machine room power environment configuration method and device, computer equipment and storage medium. BACKGROUND

[0002] In today's digital age, machine rooms are crucial for data storage and processing, and their stable operation is of great importance. In order to ensure the efficient operation of the machine room, power and environmental control systems play an indispensable role. With the continuous progress of technology, advanced technologies such as Internet of Things (IoT), big data analysis and cloud computing are widely used in these systems to improve their intelligence and automation level.

[0003] However, the integration of these technologies is not easy. First of all, the complexity of technology is a significant challenge, and the coordination of various technologies requires high compatibility and scalability. Second, data integration and processing is also a problem, as different devices and systems generate data in different formats, making it a challenge to effectively collect, process and analyze this data. In addition, security and reliability are of great importance, as any security vulnerabilities can have serious consequences. System integration and compatibility issues cannot be ignored, as different manufacturers' devices and systems may use different protocols and standards, increasing the difficulty of integration. The complexity of operation and management further exacerbates this problem, requiring specialized knowledge and tools to monitor and manage the entire system. Cost control, standardization and specification, and the scalability of the system are also challenges that must be faced. SUMMARY

[0004] Therefore, it is necessary to provide a machine room power environment configuration method and device, computer equipment and storage medium to realize the optimal integration of machine room power and environmental systems and ensure the stability and efficiency of the machine room.

[0005] A machine room power environment configuration method, comprising:

[0006] Obtaining existing power environment information and reconstruction requirement information of the machine room;

[0007] Scoring the existing power environment information by a preset scoring model to obtain a multi-dimensional environment index score;

[0008] Determining a machine room environment target configuration scheme according to the multi-dimensional environment index score and the reconstruction requirement information.

[0009] Optionally, the multi-dimensional environment index score includes an energy management score.

[0010] The scoring of the existing power environment information by a preset scoring model to obtain a multi-dimensional environment index score comprises:

[0011] Power system data is obtained from the existing power environment information, and the power system data is scored according to the preset power supply scoring rules to obtain a power system score;

[0012] Cooling system data is obtained from the existing power environment information, and the cooling system data is scored according to the preset cooling scoring rules to obtain a cooling system score;

[0013] The energy management score is determined based on the power system score and the cooling system score.

[0014] Optionally, the multidimensional environmental index score includes a safety management score;

[0015] The step of scoring the existing dynamic environment information using a preset scoring model to obtain multi-dimensional environmental index scores includes:

[0016] Access control system information is obtained from the existing power environment information, and the access control system information is evaluated according to the preset access control scoring rules to obtain an access control system score;

[0017] The monitoring system information is obtained from the existing dynamic environment information, and the monitoring system information is evaluated according to the preset monitoring scoring rules to obtain a monitoring system score;

[0018] Alarm system information is obtained from the existing dynamic environment information, and the alarm system information is evaluated according to the preset alarm scoring rules to obtain an alarm system score;

[0019] The security management score is determined based on the access control system score, the monitoring system score, and the alarm system score.

[0020] Optionally, determining the target configuration scheme for the data center environment based on the multidimensional environmental index scores and the renovation requirement information includes:

[0021] Obtain multiple initial configuration schemes that match the aforementioned modification requirements;

[0022] Obtain the upgrade cost and scheme indicator score for each of the initial configuration schemes;

[0023] The upgrade cost-effectiveness of each initial configuration scheme is calculated based on the multidimensional environmental index score, the upgrade cost, and the scheme index score.

[0024] The target configuration scheme for the data center environment is determined based on the upgrade cost-effectiveness.

[0025] Optionally, calculating the upgrade cost-effectiveness of each initial configuration scheme based on the multi-dimensional environmental index score, the upgrade cost, and the scheme index score includes:

[0026] The upgrade cost-effectiveness of the initial configuration scheme is obtained by processing the multi-dimensional environmental index scores, the upgrade cost, and the scheme index scores using upgrade cost-effectiveness rules; the upgrade cost-effectiveness rules include:

[0027]

[0028] Among them, P i The upgrade cost-effectiveness of the i-th initial configuration scheme;

[0029] A ij The score represents the index score of the scheme, which is the score of the j-th index in the i-th initial configuration scheme;

[0030] B j This represents the score of the j-th indicator in the multidimensional environmental indicator score; the indicator dimension of the multidimensional environmental indicator score is n.

[0031] γ j This represents the weighting factor of the j-th indicator in the multidimensional environmental index score.

[0032] A power and environmental configuration device for a computer room, comprising:

[0033] The information acquisition module is used to acquire information about the existing power environment and renovation needs of the computer room.

[0034] The scoring module is used to score the existing dynamic environment information through a preset scoring model to obtain multi-dimensional environmental index scores.

[0035] The configuration scheme determination module is used to determine the target configuration scheme for the data center environment based on the multi-dimensional environmental index scores and the transformation requirement information.

[0036] Optionally, the module for determining the configuration scheme includes:

[0037] An initial scheme acquisition unit is used to acquire multiple initial configuration schemes that match the transformation requirement information;

[0038] The cost and score unit is used to obtain the upgrade cost and score of each initial configuration scheme.

[0039] The cost-effectiveness calculation unit is used to calculate the upgrade cost-effectiveness of each of the initial configuration schemes based on the multi-dimensional environmental index scores, the upgrade cost, and the scheme index scores.

[0040] The target configuration scheme determination unit is used to determine the target configuration scheme of the data center environment based on the upgrade cost-effectiveness.

[0041] Optionally, the cost-effectiveness calculation unit is further configured to process the multi-dimensional environmental indicator score, the upgrade cost, and the scheme indicator score through upgrade cost-effectiveness rules to obtain the upgrade cost-effectiveness of the initial configuration scheme; the upgrade cost-effectiveness rules include:

[0042]

[0043] Among them, P i The upgrade cost-effectiveness of the i-th initial configuration scheme;

[0044] A ij The score represents the index score of the scheme, which is the score of the j-th index in the i-th initial configuration scheme;

[0045] B j This represents the score of the j-th indicator in the multidimensional environmental indicator score; the indicator dimension of the multidimensional environmental indicator score is n.

[0046] γ j This represents the weighting factor of the j-th indicator in the multidimensional environmental index score.

[0047] A computer device includes a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor implements the above-described computer room power environment configuration method when executing the computer-readable instructions.

[0048] One or more readable storage media storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the above-described data center power environment configuration method.

[0049] The aforementioned methods, devices, computer equipment, and storage media for configuring the power environment of a computer room, by acquiring existing power environment information of the computer room, evaluating multi-dimensional environmental index scores, and combining multi-dimensional environmental index scores with information on renovation needs, formulate a scientific and reasonable environmental target configuration scheme, which helps to improve the operating efficiency, reliability, and security of the computer room and reduce operating costs. Attached Figure Description

[0050] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a schematic diagram of an application environment for a computer room power environment configuration method according to an embodiment of the present invention;

[0052] Figure 2 This is a flowchart illustrating a method for configuring the power environment of a computer room according to an embodiment of the present invention;

[0053] Figure 3 This is a schematic diagram of a computer room power environment configuration device according to an embodiment of the present invention;

[0054] Figure 4 This is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] The data center power environment configuration method provided in this embodiment can be applied to, for example, Figure 1 In this application environment, the client communicates with the server. Clients include, but are not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0057] In one embodiment, such as Figure 2 As shown, a method for configuring the power environment of a computer room is provided, which is then applied to... Figure 1 Taking the server side as an example, the process includes the following steps S10 to S30.

[0058] S10. Obtain information on the existing power environment of the computer room and information on renovation requirements;

[0059] S20. The existing dynamic environment information is scored using a preset scoring model to obtain multi-dimensional environmental index scores;

[0060] S30. Determine the target configuration scheme for the computer room environment based on the multidimensional environmental index scores and the transformation requirement information.

[0061] Understandably, existing power environment information for the data center can be collected. This information includes, but is not limited to, power system data, cooling system data, access control system information, monitoring system information, and alarm system information. For example, power system data includes the specifications, capacity, and operating status of equipment such as UPS (Uninterruptible Power Supply), distribution cabinets, and generators; cooling system data includes the model, cooling capacity, energy consumption, and operating status of air conditioners. Modification requirements can be configured according to actual needs, including but not limited to business requirements, capacity requirements, reliability requirements, energy-saving requirements, space requirements, and compliance requirements.

[0062] The preset scoring model is a tool for quantitatively evaluating the existing power environment of a data center. It comprehensively assesses the quality of the data center environment by defining a series of indicators, scoring rules, and weights, thus providing a basis for formulating target configuration plans for the data center environment. The preset scoring model can be used to score existing power environment information to obtain multi-dimensional environmental indicator scores. These multi-dimensional environmental indicator scores include scores for indicators across multiple dimensions. These scores include primary indicator scores, such as energy management scores and security management scores, as well as secondary indicator scores, such as power system scores, cooling system scores, access control system information, monitoring system scores, and alarm system scores.

[0063] The target configuration plan for the data center environment can be determined based on multi-dimensional environmental indicator scores and renovation requirements. The multi-dimensional environmental indicator scores can identify weaknesses in the data center environment, and combined with renovation requirements, determine which aspects need priority for improvement, thus forming the target configuration plan for the data center environment.

[0064] This embodiment obtains the existing power environment information of the data center, evaluates the multi-dimensional environmental index scores, and combines the multi-dimensional environmental index scores with the transformation requirements to formulate a scientific and reasonable environmental target configuration plan, which helps to improve the operating efficiency, reliability and security of the data center and reduce operating costs.

[0065] Optionally, the multidimensional environmental index score includes an energy management score;

[0066] Step S20, namely, scoring the existing dynamic environment information using a preset scoring model to obtain multi-dimensional environmental index scores, includes:

[0067] S201. Obtain power system data from the existing power environment information, score the power system data according to the preset power supply scoring rules, and obtain a power system score.

[0068] S202. Obtain cooling system data from the existing power environment information, score the cooling system data according to the preset cooling scoring rules, and obtain a cooling system score;

[0069] S203. Determine the energy management score based on the power system score and the cooling system score.

[0070] Understandably, power system data can be obtained from existing power environment information. Power system data includes the specifications, capacity, and operating status of equipment such as UPS (Uninterruptible Power Supply), distribution cabinets, and generators. Preset power supply scoring rules can be set according to actual needs. In some examples, preset power supply scoring rules include: whether the power supply meets demand, whether the power supply redundancy meets design targets, whether the equipment energy efficiency ratio meets energy-saving standards, and whether system reliability (such as failure rate and maintenance records) meets standards. The preset power supply scoring rules also set weights for various indicators, allowing for scoring of each indicator based on the set weights, ultimately resulting in a power system score.

[0071] Cooling system data can be obtained from existing power environment information. This data includes the model, cooling capacity, energy consumption, and operating status of the air conditioner (or other cooling equipment). Preset cooling scoring rules can be set according to actual needs. In some examples, preset cooling scoring rules include: whether the cooling capacity meets the heat load requirements; system energy efficiency ratio (e.g., COP); temperature and humidity control accuracy; and cooling redundancy design (e.g., the number and capacity of standby air conditioners). The preset cooling scoring rules also set weights for various indicators, allowing for scoring of each indicator based on the set weights, ultimately resulting in a cooling system score.

[0072] An energy management score can be determined based on the power system score and the cooling system score. The energy management score includes both power system and cooling system scores. Low-scoring components within the power system and cooling system can be identified based on the energy management score, allowing for priority upgrades to these systems, considering both priority and cost-effectiveness. Upgrades related to the energy management score include, but are not limited to, increasing UPS capacity, optimizing the power distribution system, and introducing high-efficiency air conditioning equipment. In one example, a weighted average can be calculated based on the power system score and the cooling system score, taking into account their respective weights, to obtain the energy management score. Specifically, the power system's weight could be 60%, and the cooling system's weight could be 40%.

[0073] This embodiment, by scientifically and rationally evaluating the energy management score of the data center, helps to improve the overall performance and efficiency of the data center.

[0074] Optionally, the multidimensional environmental index score includes a safety management score;

[0075] Step S20, namely, scoring the existing dynamic environment information using a preset scoring model to obtain multi-dimensional environmental index scores, includes:

[0076] S204. Obtain access control system information from the existing power environment information, evaluate the access control system information according to the preset access control scoring rules, and obtain an access control system score;

[0077] S205. Obtain monitoring system information from the existing power environment information, evaluate the monitoring system information according to the preset monitoring scoring rules, and obtain a monitoring system score;

[0078] S206. Obtain alarm system information from the existing power environment information, evaluate the alarm system information according to the preset alarm scoring rules, and obtain an alarm system score;

[0079] S207. Determine the security management score based on the access control system score, the monitoring system score, and the alarm system score.

[0080] Understandably, access control system information can be obtained from existing power environment information. Access control system information encompasses all hardware and software related to access control, along with their configuration and performance data. This information includes, but is not limited to, hardware component information, software platform information, network connection information, user access management information, operation log tracking information, and maintenance service information. Preset access control scoring rules can be set based on multiple dimensions such as response speed, reliability, and ease of use. Evaluating the access control system information according to these preset scoring rules yields an access control system score. This score can be a weighted sum of scores from multiple access control evaluation indicators.

[0081] Information about the monitoring system can be obtained from existing environmental data. This information includes various aspects such as video surveillance and intrusion detection. Pre-defined monitoring scoring rules can be established based on characteristics such as the number and coverage of cameras, image quality, storage capacity, real-time performance, and playback capabilities. Evaluating the monitoring system information according to these rules yields a monitoring system score. This score is a weighted sum of scores from multiple monitoring evaluation indicators.

[0082] Alarm system information can be obtained from existing power environment information. This information encompasses various alarm sensors, including both the alarms they detect and their deployment information. Here, alarm sensors include, but are not limited to, smoke detectors, water immersion detectors, glass breakage detectors, and vibration sensors. Pre-defined alarm scoring rules can be established based on the accuracy and timeliness of the alarm system. Evaluating the alarm system information according to these rules yields an alarm system score. This score can be a weighted sum of scores from multiple alarm evaluation indicators.

[0083] The overall security management level of the computer room can be determined by combining the scores of the access control system, monitoring system, and alarm system, thus obtaining a security management score. The security management score needs to consider the interaction between each subsystem and its impact on overall security.

[0084] This embodiment, through a detailed evaluation of the access control system, monitoring system, and alarm system, combined with specific scoring rules, can effectively quantify the security status of the computer room and obtain a security management score, thereby providing a scientific basis for subsequent renovation measures.

[0085] Optionally, step S30, namely determining the target configuration scheme for the data center environment based on the multi-dimensional environmental index scores and the transformation requirement information, includes:

[0086] S301. Obtain multiple initial configuration schemes that match the transformation requirement information;

[0087] S302. Obtain the upgrade cost and scheme indicator score for each of the initial configuration schemes;

[0088] S303. Calculate the upgrade cost-effectiveness of each initial configuration scheme based on the multidimensional environmental index score, the upgrade cost, and the scheme index score.

[0089] S304. Determine the target configuration scheme for the data center environment based on the upgrade cost-effectiveness.

[0090] Understandably, based on existing power environment assessment results (such as scores for access control, monitoring, and alarm systems) and the client's proposed modification needs, multiple feasible initial configuration options can be proposed. These options cover different technology choices, equipment upgrade or replacement strategies, and the introduction of new security measures. Each option is designed to meet the client's business objectives and technical requirements.

[0091] For each initial configuration scheme, the required upgrade cost is calculated in detail, and its performance is quantitatively evaluated to obtain a scheme indicator score. Upgrade costs include direct procurement costs, installation and commissioning costs, training costs, and potential indirect costs (such as downtime). Simultaneously, the preset scoring model from step S20 can be used to evaluate each initial configuration scheme and obtain the corresponding scheme indicator score. Based on the multi-dimensional environmental indicator score, upgrade cost, and scheme indicator score, the upgrade cost-effectiveness of each initial configuration scheme can be calculated.

[0092] After determining the upgrade cost-effectiveness, the initial configuration scheme with the highest cost-effectiveness can be selected as the target configuration scheme for the data center environment. In some examples, upgrade cost-effectiveness includes sub-level upgrade cost-effectiveness, such as security management upgrade cost-effectiveness and energy management cost-effectiveness. The initial configuration scheme can be adjusted based on the upgrade cost-effectiveness to form the target configuration scheme for the data center environment.

[0093] This embodiment can effectively evaluate and select a target configuration scheme for the data center environment that meets both performance requirements and is economically reasonable, thereby achieving effective resource utilization and maximizing business objectives.

[0094] Optionally, step S303, namely, calculating the upgrade cost-effectiveness of each initial configuration scheme based on the multi-dimensional environmental index score, the upgrade cost, and the scheme index score, includes:

[0095] S3031. The upgrade cost-effectiveness of the initial configuration scheme is obtained by processing the multi-dimensional environmental index score, the upgrade cost, and the scheme index score through upgrade cost-effectiveness rules; the upgrade cost-effectiveness rules include:

[0096]

[0097] Among them, P i The upgrade cost-effectiveness of the i-th initial configuration scheme;

[0098] A ij The score represents the index score of the scheme, which is the score of the j-th index in the i-th initial configuration scheme;

[0099] B j This represents the score of the j-th indicator in the multidimensional environmental indicator score; the indicator dimension of the multidimensional environmental indicator score is n.

[0100] γ j This represents the weighting factor of the j-th indicator in the multidimensional environmental index score;

[0101] C i This represents the upgrade cost of the i-th initial configuration scheme after normalization.

[0102] Understandably, in the upgrade cost-effectiveness rule, A ij -B j This represents the change in the j-th indicator in the i-th initial configuration scheme, (A ij -B j )*γ j This represents the weighted contribution of the j-th metric in the i-th initial configuration scheme. This represents the performance improvement of the i-th initial configuration scheme. By upgrading the cost-effectiveness rules, the advantages and disadvantages of different initial configuration schemes can be scientifically evaluated, thus providing strong data support for data center environment transformation.

[0103] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0104] In one embodiment, a data center power and environment configuration device is provided, which corresponds one-to-one with the data center power and environment configuration method described in the above embodiments. For example... Figure 3 As shown, the power and environmental configuration device for this computer room includes:

[0105] The information acquisition module 10 is used to acquire existing power environment information and renovation requirements information of the computer room;

[0106] The scoring module 20 is used to score the existing dynamic environment information through a preset scoring model to obtain multi-dimensional environmental index scores.

[0107] The configuration scheme determination module 30 is used to determine the target configuration scheme of the computer room environment based on the multi-dimensional environmental index scores and the transformation requirement information.

[0108] Optionally, the multidimensional environmental index score includes an energy management score; the scoring module 20 includes:

[0109] The power system score scoring unit is used to obtain power system data from the existing power environment information, score the power system data according to the preset power supply scoring rules, and obtain a power system score.

[0110] The cooling system score scoring unit is used to obtain cooling system data from the existing power environment information, score the cooling system data according to the preset cooling scoring rules, and obtain a cooling system score.

[0111] An energy management score scoring unit is used to determine the energy management score based on the power system score and the cooling system score.

[0112] Optionally, the multidimensional environmental indicator score includes a safety management score; the scoring module 20 includes:

[0113] The access control system scoring unit is used to obtain access control system information from the existing power environment information, evaluate the access control system information according to the preset access control scoring rules, and obtain an access control system score.

[0114] The monitoring system score evaluation unit is used to obtain monitoring system information from the existing power environment information, evaluate the monitoring system information according to the preset monitoring score evaluation rules, and obtain a monitoring system score.

[0115] The alarm system score scoring unit is used to obtain alarm system information from the existing power environment information, evaluate the alarm system information according to the preset alarm scoring rules, and obtain an alarm system score.

[0116] The security management score scoring unit is used to determine the security management score based on the access control system score, the monitoring system score, and the alarm system score.

[0117] Optionally, the configuration scheme determination module 30 includes:

[0118] An initial scheme acquisition unit is used to acquire multiple initial configuration schemes that match the transformation requirement information;

[0119] The cost and score unit is used to obtain the upgrade cost and score of each initial configuration scheme.

[0120] The cost-effectiveness calculation unit is used to calculate the upgrade cost-effectiveness of each of the initial configuration schemes based on the multi-dimensional environmental index scores, the upgrade cost, and the scheme index scores.

[0121] The target configuration scheme determination unit is used to determine the target configuration scheme of the data center environment based on the upgrade cost-effectiveness.

[0122] Optionally, the cost-effectiveness calculation unit is further configured to process the multi-dimensional environmental indicator score, the upgrade cost, and the scheme indicator score through upgrade cost-effectiveness rules to obtain the upgrade cost-effectiveness of the initial configuration scheme; the upgrade cost-effectiveness rules include:

[0123]

[0124] Among them, P i The upgrade cost-effectiveness of the i-th initial configuration scheme;

[0125] A ij The score represents the index score of the scheme, which is the score of the j-th index in the i-th initial configuration scheme;

[0126] B j This represents the score of the j-th indicator in the multidimensional environmental indicator score; the indicator dimension of the multidimensional environmental indicator score is n.

[0127] γ j This represents the weighting factor of the j-th indicator in the multidimensional environmental index score;

[0128] Ci This represents the upgrade cost of the i-th initial configuration scheme after normalization.

[0129] Specific limitations regarding the configuration of the computer room power and environment system can be found in the above description of the configuration methods, and will not be repeated here. Each module in the aforementioned computer room power and environment configuration system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0130] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes a readable storage medium and internal memory. The readable storage medium stores an operating system, computer-readable instructions, and a database. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the readable storage medium. The database stores data related to the data center power environment configuration method. The network interface communicates with external terminals via a network connection. When the computer-readable instructions are executed by the processor, a data center power environment configuration method is implemented. The readable storage medium provided in this embodiment includes both non-volatile and volatile readable storage media.

[0131] In one embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor performs the following steps when executing the computer-readable instructions:

[0132] Obtain information on the existing power environment of the computer room and information on renovation needs;

[0133] The existing dynamic environment information is scored using a preset scoring model to obtain multi-dimensional environmental index scores.

[0134] The target configuration scheme for the computer room environment is determined based on the multidimensional environmental index scores and the transformation requirement information.

[0135] In one embodiment, one or more computer-readable storage media storing computer-readable instructions are provided. The readable storage media provided in this embodiment include non-volatile readable storage media and volatile readable storage media. The readable storage media stores computer-readable instructions, which, when executed by one or more processors, perform the following steps:

[0136] Obtain information on the existing power environment of the computer room and information on renovation needs;

[0137] The existing dynamic environment information is scored using a preset scoring model to obtain multi-dimensional environmental index scores.

[0138] The target configuration scheme for the computer room environment is determined based on the multidimensional environmental index scores and the transformation requirement information.

[0139] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware with computer-readable instructions. These computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0140] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0141] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for configuring the power and environmental conditions of a computer room, characterized in that, include: Obtain information on the existing power environment of the computer room and information on renovation needs; The existing dynamic environment information is scored using a preset scoring model to obtain multi-dimensional environmental index scores. The target configuration scheme for the computer room environment is determined based on the multidimensional environmental index scores and the transformation requirement information.

2. The method for configuring the power and environment of a computer room as described in claim 1, characterized in that, The multidimensional environmental index score includes an energy management score; The step of scoring the existing dynamic environment information using a preset scoring model to obtain multi-dimensional environmental index scores includes: Power system data is obtained from the existing power environment information, and the power system data is scored according to the preset power supply scoring rules to obtain a power system score; Cooling system data is obtained from the existing power environment information, and the cooling system data is scored according to the preset cooling scoring rules to obtain a cooling system score; The energy management score is determined based on the power system score and the cooling system score.

3. The method for configuring the power and environment of a computer room as described in claim 1, characterized in that, The multidimensional environmental indicator score includes a safety management score; The step of scoring the existing dynamic environment information using a preset scoring model to obtain multi-dimensional environmental index scores includes: Access control system information is obtained from the existing power environment information, and the access control system information is evaluated according to the preset access control scoring rules to obtain an access control system score; The monitoring system information is obtained from the existing dynamic environment information, and the monitoring system information is evaluated according to the preset monitoring scoring rules to obtain a monitoring system score; Alarm system information is obtained from the existing dynamic environment information, and the alarm system information is evaluated according to the preset alarm scoring rules to obtain an alarm system score; The security management score is determined based on the access control system score, the monitoring system score, and the alarm system score.

4. The method for configuring the power and environment of a computer room as described in claim 1, characterized in that, The step of determining the target configuration scheme for the data center environment based on the multidimensional environmental index scores and the transformation requirement information includes: Obtain multiple initial configuration schemes that match the aforementioned modification requirements; Obtain the upgrade cost and scheme indicator score for each of the initial configuration schemes; The upgrade cost-effectiveness of each initial configuration scheme is calculated based on the multidimensional environmental index score, the upgrade cost, and the scheme index score. The target configuration scheme for the data center environment is determined based on the upgrade cost-effectiveness.

5. The method for configuring the power and environment of a computer room as described in claim 4, characterized in that, The step of calculating the upgrade cost-effectiveness of each initial configuration scheme based on the multidimensional environmental index score, the upgrade cost, and the scheme index score includes: The upgrade cost-effectiveness of the initial configuration scheme is obtained by processing the multi-dimensional environmental index scores, the upgrade cost, and the scheme index scores using upgrade cost-effectiveness rules; the upgrade cost-effectiveness rules include: Among them, P i The upgrade cost-effectiveness of the i-th initial configuration scheme; A ij The score represents the index score of the scheme, which is the score of the j-th index in the i-th initial configuration scheme; B j This represents the score of the j-th indicator in the multidimensional environmental indicator score; the indicator dimension of the multidimensional environmental indicator score is n. γ j This represents the weighting factor of the j-th indicator in the multidimensional environmental index score; C i This represents the upgrade cost of the i-th initial configuration scheme after normalization.

6. A power and environmental configuration device for a computer room, characterized in that, include: The information acquisition module is used to acquire information about the existing power environment and renovation needs of the computer room. The scoring module is used to score the existing dynamic environment information through a preset scoring model to obtain multi-dimensional environmental index scores. The configuration scheme determination module is used to determine the target configuration scheme for the data center environment based on the multi-dimensional environmental index scores and the transformation requirement information.

7. The computer room power and environment configuration device as described in claim 6, characterized in that, The module for determining the configuration scheme includes: An initial scheme acquisition unit is used to acquire multiple initial configuration schemes that match the transformation requirement information; The cost and score unit is used to obtain the upgrade cost and score of each initial configuration scheme. The cost-effectiveness calculation unit is used to calculate the upgrade cost-effectiveness of each of the initial configuration schemes based on the multi-dimensional environmental index scores, the upgrade cost, and the scheme index scores. The target configuration scheme determination unit is used to determine the target configuration scheme of the data center environment based on the upgrade cost-effectiveness.

8. The computer room power and environment configuration device as described in claim 7, characterized in that, The cost-effectiveness calculation unit is also used to process the multi-dimensional environmental index score, the upgrade cost, and the scheme index score through upgrade cost-effectiveness rules to obtain the upgrade cost-effectiveness of the initial configuration scheme; The upgrade cost-effectiveness rules include: Among them, P i The upgrade cost-effectiveness of the i-th initial configuration scheme; A ij The score represents the index score of the scheme, which is the score of the j-th index in the i-th initial configuration scheme; B j This represents the score of the j-th indicator in the multidimensional environmental indicator score; the indicator dimension of the multidimensional environmental indicator score is n. γ j This represents the weighting factor of the j-th indicator in the multidimensional environmental index score.

9. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and running on the processor, characterized in that, When the processor executes the computer-readable instructions, it implements the computer room power environment configuration method as described in any one of claims 1 to 5.

10. One or more readable storage media storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the data center power environment configuration method as described in any one of claims 1 to 5.

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