A Method and Control System for Analyzing and Processing Diesel Generator Monitoring Data

Abstract

The present invention provides a method and control system for analyzing and processing diesel generator monitoring data, belonging to the technical field of data processing. Specifically, it includes: determining the target combination in the server combination based on the distribution data of the simultaneous operation periods of the servers in different server combinations in different dates, determining the starting processing strategy of the diesel generator in the simultaneous operation period corresponding to the target combination according to the historical interval data between the simultaneous operation periods of the target combination and the similarity of the energy consumption data of other target combinations in the simultaneous operation period, performing the active starting processing of the diesel generator according to the starting processing strategy, and determining the starting processing strategy for different periods in the current date based on the similarity of the active starting data of the diesel generator within a preset time period, the server starting data at different periods in the current date, and the target combination, thereby improving the reliability of monitoring and processing.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and particularly relates to a method for analyzing and processing diesel generator monitoring data and a control system. Background Art

[0002] In order to ensure the power supply reliability of the data room, diesel generators are often installed in existing data rooms to reduce the impact of unexpected power outages on the data room. Specifically, a similar technical solution is given in the invention patent application CN202011253223.0, "A Backup Power Supply System for Internet Data Centers".

[0003] Different from diesel generators in other application scenarios, the start-up times and start-up durations of diesel generators in data centers are often less. Once a diesel generator fails during operation, it will inevitably affect the power supply reliability of the data center. When the diesel generator is not in the operating state, the monitoring data of the diesel generator often cannot accurately reflect the fault situation of the diesel generator. Therefore, how to dynamically implement the start-up process of the diesel generator and perform fault diagnosis based on the monitoring data during the start-up process has become an urgent technical problem to be solved.

[0004] To solve the above technical problems, this application provides a method for analyzing and processing diesel generator monitoring data and a control system. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions:

[0006] Specifically, this application provides a method for analyzing and processing diesel generator monitoring data, which specifically includes:

[0007] S1 When it is determined that the monitoring reliability of the diesel generator in the data center does not meet the requirements based on the historical start-up data of the diesel generator in the data center, proceed to the next step;

[0008] S2 Freely combine the servers in the data center to construct server combinations, and determine the target combination in the server combinations based on the distribution data of the simultaneous operation periods of the servers in different server combinations on different dates;

[0009] S3 Determine the start-up processing strategy of the diesel generator during the simultaneous operation period corresponding to the target combination based on the historical interval data between the simultaneous operation periods of the target combination and the similarity of the energy consumption data with other target combinations during the simultaneous operation period;

[0010] S4 performs the active start-up process of the diesel generator according to the described start-up processing strategy, and determines the start-up processing strategy for different time periods of the current date based on the similarity between the active start-up data of the diesel generator within a preset time period, the server start-up data of different time periods in the current date, and the target combination.

[0011] The beneficial effects of the present invention are as follows:

[0012] Based on the historical interval data between the simultaneous operation time periods of the target combination and the similarity of the energy consumption data of other target combinations during the simultaneous operation time periods, the start-up processing strategy of the diesel generator in the simultaneous operation time periods corresponding to the target combination is determined. It not only singlely considers the differences in the requirements for active start-up processing in different simultaneous operation time periods due to the differences in the distribution dispersion degree, but also considers the differences in the similarity of the energy consumption data of other target combinations. Once the start-up is not timely, the difference in the similarity of the monitoring and processing of the diesel generator of the target combination by other target combinations is considered. It realizes the determination of the start-up processing strategy from the substitutability of the monitoring data of the diesel generators of other target combinations and the distribution dispersion of the simultaneous operation time periods. It not only avoids the waste of resources caused by frequent start-ups, but also ensures the reliability of the monitoring and processing of different target combinations.

[0013] Based on the similarity between the active start-up data of the diesel generator within a preset time period, the server start-up data of different time periods in the current date, and the target combination, the start-up processing strategy for different time periods of the current date is determined, thus avoiding the technical problem that the simultaneous operation time periods of the target combination do not appear within a certain period of time, resulting in the inability to accurately monitor the operating state of the diesel generator. By fully considering the number of active start-ups and the similarity of the server start-up data of different target combinations, the active start-up processing of the time periods with a high similarity to the servers of the target combinations with fewer active start-ups is realized, ensuring the timeliness and reliability of the monitoring and processing.

[0014] A further technical solution is that the historical start-up data of the diesel generator includes the historical start-up times of the diesel generator, the dates corresponding to different historical start-up times, and the start-up duration.

[0015] A further technical solution is that the historical start-up data of the diesel generator is determined according to the start-up situation of the diesel generator when the data center is powered off.

[0016] A further technical solution is that determining that the monitoring reliability of the diesel generator does not meet the requirements specifically includes:

[0017] Start with the historical start data of the diesel generator in the data center to determine the historical start times of the diesel generator within a preset period;

[0018] According to the dates corresponding to different historical start times, determine the average value of the number of date intervals between different adjacent historical start times, and use it as the average interval date number;

[0019] According to the average interval date number, determine whether the monitoring reliability of the diesel generator meets the requirements.

[0020] A further technical solution is that when the average interval date number is greater than the preset interval date number threshold, it is determined that the monitoring reliability of the diesel generator does not meet the requirements.

[0021] A further technical solution is that when the monitoring reliability of the diesel generator meets the requirements, during the non-power-off period, there is no need to perform the active start processing of the diesel generator.

[0022] A further technical solution is that the method for determining the start processing strategy for the period is as follows:

[0023] Based on the active start data of the diesel generator within a preset time period, determine the number of date intervals between the active start dates of different target combinations and the current date;

[0024] According to the similarity between the server start data for the period and different target combinations, determine the number of servers that are the same for different target combinations, and use the proportion of the number of the same servers in the number of servers for the corresponding target combination to determine the combination similarity coefficient for different target combinations;

[0025] Based on the sum of the products of the combination similarity coefficient and the number of date intervals between the active start dates of different target combinations and the current date, determine the start demand for the period, and determine the start processing strategy for the period based on the start demand.

[0026] A further technical solution is that the active start date is the date when the diesel generator is actively started during the simultaneous operation period corresponding to the target combination.

[0027] A further technical solution is that determining the start processing strategy for the period based on the start demand specifically includes:

[0028] If there is no period with a start demand greater than the preset start demand threshold on the current date, then there is no need to perform the active start processing of the diesel generator in different periods on the current date;

[0029] If there is a period during the current date when the starting demand is greater than the preset starting demand threshold, then active starting processing of the diesel generator is performed during the period with the largest starting demand in the current date.

[0030] A further technical solution lies in that when the diesel generator is in the starting period, it is determined whether the diesel generator has an abnormality based on the analysis result of the monitoring data of the diesel generator during the starting process. Specifically, it includes:

[0031] When there is a moment during the operation of the diesel generator when the operating temperature exceeds the preset temperature threshold or the operating current is greater than the preset current threshold, it is determined that the diesel generator has an abnormality.

[0032] In a second aspect, the present invention provides a control system that adopts the above-mentioned method for analyzing and processing monitoring data of a diesel generator, specifically including:

[0033] A reliability evaluation module, a target combination identification module, and a starting strategy determination module;

[0034] Among them, the reliability evaluation module is responsible for determining whether the monitoring reliability of the diesel generator meets the requirements;

[0035] The target combination identification module is responsible for determining the target combination in the server combination;

[0036] The starting strategy determination module is responsible for determining the starting processing strategy of the diesel generator.

[0037] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following specifically gives preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0039] Figure 1 is a flowchart of a method for analyzing and processing monitoring data of a diesel generator;

[0040] Figure 2 is a flowchart for determining that the monitoring reliability of the diesel generator does not meet the requirements;

[0041] Figure 3 is a flowchart of a method for determining the target combination in the server combination;

[0042] Figure 4 is a flowchart of a method for determining the starting processing strategy of a period;

[0043] Figure 5It is a framework diagram of a control system. Detailed implementation manners

[0044] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0045] In this application, according to the historical start data of the diesel generators in the data center, the active start processing of the diesel generators is realized, thereby realizing the active monitoring and management of the diesel generators and improving the reliability of the monitoring and management of the diesel generators.

[0046] When the number of interval dates between the most recent historical start date and the current date of the data center is greater than the preset interval date number threshold, it is determined that the monitoring reliability of the diesel generator does not meet the requirements.

[0047] The target combination is a server combination in which the proportion of the number of dates in the simultaneous operation period when all the servers in the server combination are started simultaneously is greater than the preset date number proportion.

[0048] The average value of the interval durations between adjacent simultaneous operation periods of the target combination is used as the average interval duration, and the average value of the energy consumption per unit duration of the target combination in different simultaneous operation periods is used as the average energy consumption. The energy consumption deviation is determined by the deviation amount of the average energy consumption and the average energy consumption of other target combinations.

[0049] When the average interval duration is greater than the preset interval duration value, the active start processing of the diesel generator is performed in the simultaneous operation periods corresponding to different target combinations.

[0050] When the average interval duration is not greater than the preset interval duration value, if there are other target combinations with an energy consumption deviation less than the preset energy consumption deviation threshold, then at the first number of simultaneous operation periods after the simultaneous operation period corresponding to the target combination of the closest active start processing, the active start processing of the diesel generator is performed in the simultaneous operation period corresponding to the current target combination. If there are no other target combinations with an energy consumption deviation less than the preset energy consumption deviation threshold, then at the second number of simultaneous operation periods after the simultaneous operation period corresponding to the target combination of the closest active start processing, the active start processing of the diesel generator is performed in the simultaneous operation period corresponding to the current target combination.

[0051] When there is no active startup of the diesel generator within the most recent preset time period, the number of the same servers corresponding to different target combinations is determined based on the similarity between the server startup data of the time period and different target combinations, and the proportion of the number of the same servers in the number of servers of the corresponding target combination is used to determine the combination similarity coefficient for different target combinations. The active startup process of the diesel generator is performed during the time period with the maximum average value of the combination similarity coefficients for different target combinations.

[0052] Embodiment 1

[0053] As Figure 1 shown, the present application provides a method for analyzing and processing diesel generator monitoring data, which specifically includes:

[0054] S1 When it is determined that the monitoring reliability of the diesel generator does not meet the requirements based on the historical startup data of the diesel generator in the data center, proceed to the next step;

[0055] Furthermore, the historical startup data of the diesel generator includes the historical startup times of the diesel generator, the dates corresponding to different historical startup times, and the startup duration.

[0056] Specifically, the historical startup data of the diesel generator is determined based on the startup situation of the diesel generator when the data center is powered off.

[0057] Specifically, as Figure 2 shown, determining that the monitoring reliability of the diesel generator does not meet the requirements specifically includes:

[0058] Determine the historical startup times of the diesel generator within a preset time period based on the historical startup data of the diesel generator in the data center;

[0059] Based on the dates corresponding to different historical startup times, determine the average value of the number of intervals between the dates corresponding to different adjacent historical startup times, and use it as the average interval date number;

[0060] Based on the average interval date number, determine whether the monitoring reliability of the diesel generator meets the requirements.

[0061] Furthermore, when the average interval date number is greater than the preset interval date number threshold, it is determined that the monitoring reliability of the diesel generator does not meet the requirements.

[0062] It should be noted that when the monitoring reliability of the diesel generator meets the requirements, there is no need to perform the active startup process of the diesel generator during the non-powered-off period.

[0063] A further technical solution is that when the startup monitoring reliability coefficient of the diesel generator is less than the preset monitoring reliability coefficient threshold, it is determined that the monitoring reliability of the diesel generator does not meet the requirements.

[0064] S2 freely combines the servers in the data center to construct a server combination, and determines the target combination in the server combination according to the distribution data of the simultaneous operation time periods of the servers in different server combinations on different dates.

[0065] Furthermore, the server combination is different numbers of server groups freely combined by different servers in the data center.

[0066] Specifically, the simultaneous operation time period is the time period when all the servers in the server combination operate simultaneously.

[0067] Specifically, as Figure 3 shown, the method for determining the target combination in the server combination is as follows:

[0068] According to the distribution data of the simultaneous operation time periods of the servers in the server combination on different dates, determine the dates with simultaneous operation time periods and use them as combination matching dates.

[0069] Take the proportion of the number of combination matching dates within the preset time period in all the dates as the proportion of the number of matching dates.

[0070] According to the proportion of the number of matching dates, determine whether the server combination is the target combination.

[0071] Furthermore, when the proportion of the number of matching dates of the server combination is greater than the preset proportion threshold of the number of matching dates, it is determined that the server combination is the target combination.

[0072] In another possible embodiment, the method for determining the target combination in the server combination is as follows:

[0073] S21 According to the distribution data of the simultaneous operation time periods of the servers in the server combination on different dates, determine the number of simultaneous operation time periods within the preset time period, obtain the dates with simultaneous operation time periods and use them as combination matching dates.

[0074] It should be further noted that before entering step S22, the following judgment process is also included:

[0075] When the number of simultaneous operation periods within the preset period is not greater than the preset operation period number threshold, or the number of combined matching dates is less than the preset matching date number threshold, it can be directly determined that the server combination does not belong to the target combination. Only when the number of simultaneous operation periods within the preset period is greater than the preset operation period number threshold and the number of combined matching dates is less than the preset matching date number threshold, then proceed to step S22.

[0076] S22 matches the number of simultaneous operation periods in different combined matching dates, and combines the proportion of the number of combined matching dates within the preset period to determine the monitoring requirement coefficient of the server combination. Based on the monitoring requirement coefficient, it is determined whether the server combination is the target combination.

[0077] Furthermore, the value range of the monitoring requirement coefficient is between 0 and 1. When the monitoring requirement coefficient is greater than the preset monitoring requirement coefficient threshold, it is determined that the server combination is the target combination.

[0078] S3 determines the start-up processing strategy of the diesel generator in the simultaneous operation periods corresponding to the target combination based on the historical interval data between the simultaneous operation periods of the target combination and the similarity of the energy consumption data with other target combinations in the simultaneous operation periods;

[0079] Specifically, the historical interval data between the simultaneous operation periods includes the interval duration between different adjacent simultaneous operation periods.

[0080] It should be noted that the active start-up processing of the diesel generator according to the start-up processing strategy specifically includes:

[0081] Start the diesel generator and switch the power supply circuit of the data center to the power supply circuit of the diesel generator.

[0082] In one possible embodiment, the method for determining the start-up processing strategy of the diesel generator in the simultaneous operation periods corresponding to the target combination is:

[0083] S31 uses the historical interval data between the simultaneous operation periods of the target combination to determine the average value of the interval duration between adjacent simultaneous operation periods of the target combination, and takes it as the interval duration mean. Based on the interval duration mean and the interval duration between adjacent simultaneous operation periods of the target combination, the operation frequency coefficient of the simultaneous operation periods of the target combination is determined;

[0084] S32 determines the average energy consumption per unit time in different simultaneous operation periods based on the energy consumption data during the simultaneous operation period of the target combination, and uses it as the average energy consumption. Based on the deviation between the average energy consumption and the average energy consumption of other target combinations, determines the opening monitoring similarity coefficient of other target combinations;

[0085] S33 determines the monitoring necessity coefficient of the target combination based on the operation frequency coefficient during the simultaneous operation period of the target combination and the opening monitoring similarity coefficient of other target combinations, and determines the starting processing strategy of the diesel generator in the simultaneous operation period corresponding to the target combination based on the monitoring necessity coefficient.

[0086] Further, determining the starting processing strategy of the diesel generator in the simultaneous operation period corresponding to the target combination based on the monitoring necessity coefficient specifically includes:

[0087] When the monitoring necessity coefficient is greater than the preset monitoring necessity coefficient threshold, the diesel generator is actively started in the simultaneous operation periods corresponding to different target combinations;

[0088] When the monitoring necessity coefficient is not greater than the preset monitoring necessity coefficient threshold, based on the preset comparison relationship between the monitoring necessity coefficient and the number of periods, determines the preset number of periods under the monitoring necessity coefficient. When it reaches the simultaneous operation period with the preset number of periods closest to the simultaneous operation period after the actively started target combination, the diesel generator is actively started in the simultaneous operation period corresponding to the current target combination.

[0089] Optionally, the above step S31 includes the following content:

[0090] S311 obtains the number of the target combinations. When the number of the target combinations is less than the preset combination number threshold, the diesel generator is actively started in the simultaneous operation periods corresponding to different target combinations according to the preset number of simultaneous operation periods. When the number of the target combinations is not less than the preset combination number threshold, it proceeds to step S312;

[0091] It can be understood that when the number of target combinations is small, that is, the number of target combinations is less than the preset combination number threshold. Therefore, in order to ensure the reliability of the monitoring and processing of the diesel generator, the diesel generator needs to be actively started in the simultaneous operation periods corresponding to different target combinations according to the preset number of simultaneous operation periods.

[0092] It can be understood that the interval between different actively started periods is the preset number of simultaneous operation periods of the simultaneous operation period corresponding to the target combination. Whenever the simultaneous operation period reaches the preset number of simultaneous operation periods, the diesel generator is actively started.

[0093] By actively starting the diesel generator, the reliability of the monitoring and processing of the diesel generator is improved.

[0094] S312 determines the average value of the interval duration between adjacent simultaneous operation periods of the target combination based on the historical interval data between the simultaneous operation periods of the target combination, and uses it as the average interval duration. When the average interval duration is greater than the preset interval duration value, active start-up processing of the diesel generator is performed in different simultaneous operation periods corresponding to the target combination. When the average interval duration is not greater than the preset interval duration value, step S313 is entered;

[0095] Exemplarily, for a target combination with an overly long interval duration between different simultaneous operation periods, if the diesel generator is actively started at a certain frequency, it may be impossible to observe the monitoring data of the diesel generator during the simultaneous operation period corresponding to the target combination in many cases, making it difficult to accurately evaluate the operating state of the diesel generator.

[0096] Therefore, for a target combination with an overly long interval duration, that is, the judgment that the average interval duration is greater than the preset interval duration value, the identification and processing of the target combination are realized. In the current situation, without considering other factors, active start-up processing of the diesel generator needs to be performed in different simultaneous operation periods.

[0097] S313 determines the operation frequency coefficient of the simultaneous operation period of the target combination based on the average interval duration and the interval duration between adjacent simultaneous operation periods of the target combination. When the operation frequency coefficient is less than the preset operation frequency coefficient threshold, active start-up processing of the diesel generator is performed in different simultaneous operation periods corresponding to different target combinations. When the operation frequency coefficient is not less than the preset operation frequency coefficient threshold, step S314 is entered;

[0098] It can be understood that the longer the interval duration between adjacent simultaneous operation periods of the target combination, the lower the operation frequency coefficient of the simultaneous operation period. For a target combination with an overly low operation frequency coefficient, that is, a target combination whose operation frequency coefficient is less than the preset operation frequency coefficient threshold, active start-up processing of the diesel generator still needs to be performed in different simultaneous operation periods.

[0099] By further combining the operation frequency coefficient of the simultaneous operation period of the target combination, the screening of target combinations with an overly low operation frequency can be realized, and the adjustment of the active start-up processing strategy can be carried out for them specifically, improving the reliability of the monitoring and processing under the target combination.

[0100] S314 When the operation frequency coefficient is within the preset operation frequency coefficient range, proceed to step S315; when the operation frequency coefficient is not within the preset operation frequency coefficient range, then proceed to step S32.

[0101] It can be understood that although the operation frequency coefficient of the simultaneous operation period of the target combination is not less than the preset operation frequency coefficient threshold, in the current operation situation, if it is within the preset operation frequency coefficient range, the operation frequency degree is still not high. Therefore, the number of target combinations can be further combined. When the number of target combinations is too small, that is, within the preset combination number range, the number of target combinations that need to be monitored and processed is too small. Therefore, it is still necessary to optimize the active opening processing strategy for each of them separately.

[0102] Specifically, it is linked with step S315 to reliably determine the active opening strategy for the simultaneous operation period corresponding to the target combination with the operation frequency coefficient within the preset operation frequency coefficient range.

[0103] S315 When the number of the target combinations is within the preset combination number range, the diesel generator is actively started during the simultaneous operation period corresponding to the target combination with the operation frequency coefficient within the preset operation frequency coefficient range; when the number of the target combinations is not within the preset combination number range, then proceed to step S32.

[0104] Optionally, the above step S32 includes the following content:

[0105] S321 According to the energy consumption data during the simultaneous operation period of the target combination, determine the average value of the energy consumption per unit time in different simultaneous operation periods and use it as the energy consumption mean value. Based on the deviation amount between the energy consumption mean value and the energy consumption mean values of other target combinations, when there are no other target combinations with a deviation amount less than the preset deviation amount value, then proceed to step S322; when there are other target combinations with a deviation amount less than the preset deviation amount value, proceed to step S323.

[0106] It can be understood that if the deviation amounts between the energy consumption mean value of the target combination and the energy consumption mean values of other target combinations are not less than the preset deviation amount value, it means that actively starting other target combinations cannot accurately reflect the reliability of the operation processing of the current target combination.

[0107] For a target combination with deviation amounts between the energy consumption mean value and the energy consumption mean values of other target combinations that are not less than the preset deviation amount value and with a too low operation frequency coefficient, and if it is within the preset operation frequency coefficient range, its operation reliability is still not high. Therefore, the active opening processing strategy can be adjusted specifically.

[0108] S322 When the operation frequency coefficient is within the preset operation frequency coefficient range, the diesel generator is actively started during all the simultaneous operation time periods corresponding to other target combinations where the deviation amount is less than the preset deviation amount value. When the operation frequency coefficient is not within the preset operation frequency coefficient range, step S323 is entered;

[0109] This step is directly related to step S322 and is used to determine the active start processing strategy for the diesel generators of other target combinations with a low degree of substitution.

[0110] Through the judgment in step S322, the reliability of the monitoring and processing of the diesel generator can be further improved.

[0111] S323 Based on the deviation amount between the average energy consumption and the average energy consumption of other target combinations, the start monitoring similarity coefficient of other target combinations is determined. When the start monitoring similarity coefficient of other target combinations is greater than the preset monitoring similarity coefficient threshold, during the first number of simultaneous operation time periods after the simultaneous operation time period corresponding to the target combination with the closest active start processing, the diesel generator is actively started during the simultaneous operation time period corresponding to the current target combination. When the start monitoring similarity coefficient of other target combinations is not greater than the preset monitoring similarity coefficient threshold, step S33 is entered.

[0112] S4 The active start processing of the diesel generator is carried out according to the start processing strategy. Based on the active start data of the diesel generator within the preset time period, the similarity between the server start data at different time periods in the current date and the target combination, the start processing strategy for different time periods in the current date is determined.

[0113] Further, as Figure 4 shown, the method for determining the start processing strategy for the time period is:

[0114] Based on the active start data of the diesel generator within the preset time period, the number of interval dates between the active start dates of different target combinations and the current date is determined;

[0115] According to the similarity between the server start data of the time period and different target combinations, the number of servers identical to different target combinations is determined. Based on the proportion of the number of identical servers in the number of servers of the corresponding target combination, the combination similarity coefficient with different target combinations is determined;

[0116] Based on the sum of the product of the combination similarity coefficient and the number of interval dates between the active start dates of different target combinations and the current date, the start demand for the time period is determined. Based on the start demand, the start processing strategy for the time period is determined.

[0117] Further, the active start date is the date when the diesel generator in the corresponding simultaneous operation period of the target combination is actively started.

[0118] It can be understood that determining the start processing strategy for the period based on the start demand specifically includes:

[0119] If there is no period on the current date where the start demand is greater than the preset start demand threshold, then there is no need to perform active start processing of the diesel generator in different periods on the current date;

[0120] If there is a period on the current date where the start demand is greater than the preset start demand threshold, then perform active start processing of the diesel generator in the period with the largest start demand on the current date.

[0121] Further, when the diesel generator is in the start period, determine whether the diesel generator is abnormal based on the analysis result of the monitoring data of the diesel generator during the start process, specifically including:

[0122] When there is a moment during the operation of the diesel generator when the operating temperature exceeds the preset temperature threshold or the operating current is greater than the preset current threshold, it is determined that the diesel generator is abnormal.

[0123] Embodiment 2

[0124] In the second aspect, as Figure 5 shown, the present invention provides a control system that adopts the above-mentioned method for analyzing and processing diesel generator monitoring data, specifically including:

[0125] A reliability evaluation module, a target combination identification module, and an opening strategy determination module;

[0126] Among them, the reliability evaluation module is responsible for determining whether the monitoring reliability of the diesel generator meets the requirements;

[0127] The target combination identification module is responsible for determining the target combination in the server combination;

[0128] The opening strategy determination module is responsible for determining the opening processing strategy of the diesel generator.

[0129] In another possible embodiment, determining that the monitoring reliability of the diesel generator does not meet the requirements specifically includes:

[0130] Based on the historical start data of the diesel generator in the data center, determine the historical start times of the diesel generator within a preset period;

[0131] Determine the date corresponding to the most recent historical activation count based on the dates corresponding to different historical activation counts, and use it as the approaching activation date;

[0132] Determine whether the monitoring reliability of the diesel generator meets the requirements based on the time interval between the approaching activation date and the current date.

[0133] Further, when the time interval between the approaching activation date and the current date is greater than the preset time interval threshold, it is determined that the monitoring reliability of the diesel generator does not meet the requirements.

[0134] Optionally, after determining that the number of simultaneous operation periods within the preset period is greater than the preset operation period number threshold and the number of combined matching dates is less than the preset matching date number threshold, it is further necessary to use the proportion of the number of combined matching dates within the preset period in all dates as the matching date number proportion. When the matching date number proportion is greater than the preset matching date number proportion threshold, it can be directly determined that the server combination does not belong to the target combination. Only when the matching date number proportion is not greater than the preset matching date number proportion threshold, then proceed to step S22.

[0135] It should be further noted that when the matching date number proportion is not greater than the preset matching date number proportion threshold, it is further necessary to use the proportion of the number of combined matching dates within the preset period in all dates as the matching date number proportion. When the matching date number proportion is greater than the preset matching date number proportion threshold, it is determined that the server combination is the target combination.

[0136] Only when the matching date number proportion is not greater than the preset matching date number proportion threshold, then transfer to step S22.

[0137] Embodiment 3

[0138] In another possible embodiment, the activation processing strategy of the diesel generator in the simultaneous operation period corresponding to the target combination:

[0139] Based on the historical interval data between the simultaneous operation periods of the target combination, determine the average value of the interval duration between adjacent simultaneous operation periods of the target combination, and use it as the interval duration average value;

[0140] Based on the energy consumption data in the simultaneous operation period of the target combination, determine the average value of the energy consumption per unit time in different simultaneous operation periods, and use it as the energy consumption average value. Based on the deviation amount between the energy consumption average value and the energy consumption average values of other target combinations, determine the energy consumption deviation amount;

[0141] Based on the energy consumption deviation amount and the average interval duration, determine the activation processing strategy of the diesel generator during the simultaneous operation period corresponding to the target combination.

[0142] Further, based on the energy consumption deviation amount and the average interval duration, determine the activation processing strategy of the diesel generator during the simultaneous operation period corresponding to the target combination, specifically including:

[0143] When the average interval duration is greater than the preset interval duration value, actively activate the diesel generator during the simultaneous operation periods corresponding to different target combinations;

[0144] When the average interval duration is not greater than the preset interval duration value, determine whether there are other target combinations with an energy consumption deviation amount less than the preset energy consumption deviation amount threshold. If so, during the first number of simultaneous operation periods after the simultaneous operation period corresponding to the target combination with the nearest active activation, actively activate the diesel generator during the simultaneous operation period corresponding to the current target combination. If not, during the second number of simultaneous operation periods after the simultaneous operation period corresponding to the target combination with the nearest active activation, actively activate the diesel generator during the simultaneous operation period corresponding to the current target combination.

[0145] It should be noted that the first number is greater than the second number. When the first number is 5, after the simultaneous operation period corresponding to the target combination with the nearest active activation, there are 5 simultaneous operation periods corresponding to the target combinations. Then, actively activate the diesel generator during the simultaneous operation period corresponding to the 5th target combination.

[0146] Embodiment 4

[0147] Optionally, the method for determining the target combination in the server combination is:

[0148] Based on the distribution data of the simultaneous operation periods of the servers in the server combination on different dates, determine the dates with simultaneous operation periods and use them as the combination matching dates;

[0149] Take the sum of the numbers of simultaneous operation periods in different combination matching dates as the screened period number;

[0150] According to the screened period number, determine whether the server combination is a target combination.

[0151] It should be noted that when the screened period number is greater than the preset screened period number threshold, determine that the server combination is a target combination.

[0152] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of devices, equipment, and non-volatile computer storage media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0153] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0154] The above is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A diesel generator monitoring data analysis and processing method, characterized in that: Specifically include: When it is determined based on the historical startup data of the diesel generators in the data center that the monitoring reliability of the diesel generators does not meet the requirements, proceed to the next step; Freely combining the servers in the data center to construct a server combination, and determining a target combination in the server combination based on the distribution data of the simultaneous operation periods of the servers in different server combinations on different dates; Determine a startup processing strategy for the diesel generator in the simultaneous operation period corresponding to the target combination based on historical interval data between the simultaneous operation periods of the target combination and similarity of energy consumption data with other target combinations in the simultaneous operation period; The diesel generator is actively started up according to the start-up processing strategy, and the start-up processing strategy for different periods of the current date is determined based on the similarity between the active start-up data of the diesel generator within a preset time period, the server start-up data at different periods of the current date and the target combination.

2. The diesel generator monitoring data analysis and processing method according to claim 1, characterized in that: The historical startup data of the diesel generator includes the historical startup times of the diesel generator, dates corresponding to different historical startup times, and startup durations.

3. The diesel generator monitoring data analysis and processing method according to claim 1, characterized in that: The historical startup data of the diesel generator is determined according to the startup status of the diesel generator when the data center is in a power outage.

4. The diesel generator monitoring data analysis and processing method according to claim 1, characterized in that: It was determined that the monitoring reliability of the diesel generator did not meet the requirements, including: Determine the historical start-up times of the diesel generator in the data center within a preset time period based on the historical start-up data of the diesel generator; According to the dates corresponding to different historical opening times, determine the average number of date intervals corresponding to different adjacent historical opening times, and use it as the average number of interval dates; According to the average number of interval dates, it is determined whether the monitoring reliability of the diesel generator meets the requirements.

5. The diesel generator monitoring data analysis and processing method according to claim 4, characterized in that: When the monitoring reliability of the diesel generator meets the requirements, there is no need to actively start the diesel generator during the power-on period.

6. The diesel generator monitoring data analysis and processing method according to claim 1, characterized in that: When the diesel generator is in the start-up period, determining whether the diesel generator has an abnormality based on an analysis result of monitoring data of the diesel generator during the start-up process. Determining whether the diesel generator has an abnormality specifically includes: When the operating temperature of the diesel generator exceeds a preset temperature threshold or the operating current exceeds a preset current threshold during operation, it is determined that the diesel generator is abnormal.

7. A control system, using a diesel generator monitoring data analysis and processing method according to any one of claims 1 to 6, characterized in that: Specifically include: Reliability assessment module, target combination identification module, start-up strategy determination module; The reliability evaluation module is responsible for determining whether the monitoring reliability of the diesel generator meets the requirements; The target combination identification module is responsible for determining the target combination in the server combination; The start-up strategy determination module is responsible for determining the start-up processing strategy of the diesel generator.

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