CN107038100B - Real-time capacity display method and system for data center - Google Patents

Real-time capacity display method and system for data center Download PDF

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CN107038100B
CN107038100B CN201710173209.1A CN201710173209A CN107038100B CN 107038100 B CN107038100 B CN 107038100B CN 201710173209 A CN201710173209 A CN 201710173209A CN 107038100 B CN107038100 B CN 107038100B
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CN107038100A (en
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林立伟
杨军
赖钦卫
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Shenzhen Xbrother Technology Co ltd
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    • G06F11/3051Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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Abstract

The invention discloses a real-time capacity display method and a real-time capacity display system for a data center, wherein the method comprises the following steps: capacity operation data monitored and collected in real time through a data center are stored in a data center monitoring system database; acquiring the capacity operation data, and performing multi-dimensional data quantity analysis calculation on the capacity state of the data center according to a preset core algorithm; and automatically calculating the calculation and analysis result according to a preset format of capacity display to generate a capacity percentage, carrying out visual imaging display, and automatically generating and outputting a preset analysis report format. According to the capacity percentage imaging display method and device, the capacity percentage imaging display is automatically completed by carrying out calculation analysis and induction summary on the real-time operation data of the data center, guiding suggestions for transformation, capacity expansion and the like of the data center are given, the operation management efficiency of the data center is effectively improved, the operation maintenance cost of the data center is reduced, and great convenience is brought to users for operation management of the data center.

Description

Real-time capacity display method and system for data center
Technical Field
The invention relates to the technical field of data center monitoring, in particular to a real-time capacity display method and system of a data center.
Background
With the strong support of the national government to the data center industry, the development of the internet and the informatization construction of each main industry of national economy are mature day by day, new technologies and business modes such as mobile internet, cloud computing and the like are emerging continuously, the number of data centers is increased continuously, the scale is enlarged continuously, the rapid development of the data center industry is promoted, and the integral market acceleration is stable and is over 30 percent. Meanwhile, the efficiency of data center operation and the capability of resource integration are increasingly emphasized in the industry, and the construction of a green data center becomes the development direction of the future data center. The growth of IT investment has promoted the development of the data center market, which in turn will drive the growth of the related accessories market, including servers, storage and infrastructure.
At present, the monitoring technology of many domestic large-scale data centers is relatively mature, rich real-time operation data of all accessories of the data centers, such as monitoring data of air conditioning systems, environmental control systems, power supply and distribution systems and the like, can be acquired through various sensors, and a plurality of new data can be generated through multi-level calculation. At present, the data are only used by many equipment monitoring manufacturers to embody the meanings of some surface layers, such as periodic alarm information summarization, environmental control operation parameter monitoring and the like, and further calculation analysis is not performed on the related capacity detection and the operation condition of the data center, so that the possibility and creativity of the data center are analyzed from a deeper perspective, and more direct and more convenient experience is brought to an operation manager. On the other hand, when the user expands or modifies the data center, the user lacks a relevant accurate and reliable evaluation basis and an intuitive and visual imaging instruction, so that a more detailed strategy is not implemented and developed.
Therefore, the prior art still needs to be improved and developed based on the defects of the prior art.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a system for displaying real-time capacity of a data center, aiming at automatically completing capacity percentage imaging display by performing calculation analysis and summary on real-time operation data of the data center, wherein the automatically generated analysis report can give instructive suggestions on transformation, capacity expansion and the like of the data center, thereby effectively improving the operation management efficiency of the data center, reducing the operation maintenance cost of the data center, providing great convenience for building a green data center, and greatly facilitating the operation management of the data center by a user.
The technical scheme adopted by the invention for solving the technical problem is as follows:
a real-time capacity display method of a data center, wherein the method comprises the following steps:
step A: capacity operation data monitored and collected in real time through a data center are stored in a data center monitoring system database;
and B: acquiring the capacity operation data, and performing multi-dimensional data quantity analysis calculation on the capacity state of the data center according to a preset core algorithm;
and C: and automatically calculating the calculation and analysis result according to a preset format of capacity display to generate a capacity percentage, carrying out visual imaging display, and automatically generating and outputting a preset analysis report format.
The real-time capacity display method of the data center, wherein the capacity operation data comprises: refrigerating capacity data, cabinet load capacity data, cabinet U-bit space capacity data and cabinet load-bearing capacity data; the visual graphical display comprises: the method comprises the steps of refrigeration capacity display, cabinet load capacity display, cabinet U-position space capacity display and cabinet bearing capacity display.
The real-time capacity display method of the data center comprises the following steps of calculating the refrigeration capacity display through a preset core algorithm:
the method for calculating the refrigerating capacity of the air conditioner comprises the following steps:
Qreal time=ρ*C*MReal time*ΔT=ρ*C*MReal time*(T1-T2);
The method for calculating the total refrigerating capacity allowance of the data center air conditioner comprises the following steps:
ΔQ=Qdesign of-QReal time=QDesign of-ρ*C*MReal time*ΔK=QDesign of-ρ*C*MReal time*(K1-K2);
Wherein Q isReal time: outputting a value (A) of the refrigerating capacity of the air conditioner in real time; mReal time: the output air volume (CMH) corresponding to the real-time operation current value of the indoor fan of the air conditioner; c: air specific heat capacity (kJ/kg ℃ C.); ρ: air Density (kg/m)3) (ii) a Δ K: temperature difference (DEG C) between inlet and outlet air; k1: air conditioner return air temperature (deg.C); k2: air conditioner air supply temperature (DEG C); Δ K: (K1-K2); q design: initially designing refrigerating capacity (kW) in a data center machine room; Δ Q: the total refrigerating capacity allowance (kW) of the data center machine room air conditioner;
the method for calculating the allowance percentage eta of the total refrigerating capacity of the data center comprises the following steps:
Figure BDA0001251678940000031
real-time data acquired by a sensor in the air conditioner are uploaded to a data center monitoring management system, and real-time display numerical values of the air conditioner refrigerating capacity Q of a refrigerating capacity display part and the total refrigerating capacity allowance percentage eta of the data center are completed through a core calculation method preset in the management system.
The real-time capacity display method of the data center is characterized in that the cabinet load capacity display is calculated by a preset core algorithm as follows:
the method for calculating the load of the single cabinet comprises the following steps:
Preal time=IReal time*UReal time
The method for calculating the total load margin of the data center cabinet comprises the following steps:
ΔP=N*Wdesign of-(PReal time 1+PReal time 2+...+PReal time N);
Wherein, PReal time: a single cabinet real-time IT load (kW); pDesign of: designing an IT load (kW) for a single cabinet initially; i isReal time: the single cabinet outputs current (A) in real time; u shapeReal time: outputting voltage (V) by a single cabinet in real time; n: the number (number) of cabinets in a data center room;
the method for calculating the total load allowance percentage beta of the data center cabinet comprises the following steps:
Figure BDA0001251678940000041
real-time data of each path of equipment cabinet is detected through a main path monitoring and branch path monitoring and collecting function in the power distribution cabinet, the real-time data is uploaded to a data center monitoring and management system, and real-time display numerical values of the IT load W and the equipment cabinet IT load percentage beta of the single equipment cabinet of the equipment cabinet load capacity display part are output in real time through a preset equipment cabinet load calculation method in the management system.
The real-time capacity display method of the data center is characterized in that the capacity display of the U-bit space of the cabinet is calculated by a preset core algorithm as follows:
the available U bit space calculation method of the single cabinet is as follows:
Tcan be used=TDesign of-THas been used
The method for calculating the total available U bit space allowance of the data center cabinet comprises the following steps:
ΔT=N*Tis provided withMeter- (T)Used 1+TUsed 2+·····+TUsed N);
Wherein, the explanation represented by the letters is as follows: t isCan be used: a single cabinet may use a U-bit space (U); t isHas been used: a single cabinet already has a U-bit space (U); t isDesign of: designing a U-bit space (U) for a single cabinet; n: the number (number) of cabinets in a data center room; Δ T: the total available space allowance (U) of the data center cabinet is U bit;
the available U-bit space capacity percentage of the cabinet and the calculation method are as follows:
Figure BDA0001251678940000051
the method comprises the steps that the U-bit information of the server which is erected and acquired through an asset U-bit monitoring and acquiring function is uploaded to a data center monitoring and management system, and the display numerical values of the available U-bit space T of a single cabinet of a cabinet U-bit space capacity display part, the total available U-bit allowance delta T of the data center cabinet and the available U-bit space capacity percentage & of the cabinet are completed through a cabinet U-bit space calculation method preset in the management system.
The real-time capacity display method of the data center is characterized in that the load-bearing capacity display of the cabinet is calculated by a preset core algorithm as follows:
the method for calculating the weight increase of the single cabinet comprises the following steps:
Wcan be used=WDesign of-WHas been used
The method for calculating the total weight increase of the data center cabinet comprises the following steps:
ΔW=N*Wdesign of-(WUsed 1+WUsed 2+·····+WUsed N);
Wherein, WCan be used: the weight (kg) of the single cabinet can be increased; wDesign of: initially designing the single cabinet to bear load (kg); wHas been used: the existing weight (kg) of the single cabinet server; n: the number (number) of cabinets in a data center room; Δ W: the total weight allowance (kg) of the data center cabinet can be increased;
the calculation method of the weight-increasing percentage theta of the data center cabinet comprises the following steps:
Figure BDA0001251678940000052
the weight information of the used servers acquired by the asset information monitoring and acquiring function is uploaded to a data center monitoring and managing system, and display numerical values of the single cabinet weight increasing W, the data center cabinet weight increasing delta W and the data center cabinet weight increasing percentage theta of a cabinet bearing capacity display part are output by a cabinet bearing calculation method preset in the managing system.
The real-time capacity display method of the data center comprises the steps that capacity operation data are read through a sensor and asset acquisition software, and the data acquired through monitoring are uploaded to a data center monitoring system database; calculating to obtain four display data of refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display through a core algorithm preset by the system; and carrying out multi-dimensional intelligent analysis according to the calculated data and the worst adverse factors to obtain an evaluation analysis report, and carrying out real-time capacity display on the four parts of calculated data.
A real-time capacity display system of a data center, wherein the system comprises:
the data acquisition and storage module is used for monitoring and acquiring capacity operation data in real time through a data center and storing the capacity operation data into a data center monitoring system database;
the data analysis and calculation module is used for acquiring the capacity operation data and performing multi-dimensional data quantity analysis and calculation on the capacity state of the data center according to a preset core algorithm;
and the data display and report generation module is used for automatically calculating the calculation and analysis result according to the preset format of the capacity display to generate the capacity percentage, carrying out visual imaging display, and automatically generating and outputting the preset analysis report format.
The real-time capacity display system of the data center, wherein the capacity operation data comprises: refrigerating capacity data, cabinet load capacity data, cabinet U-bit space capacity data and cabinet load-bearing capacity data; the visual graphical display comprises: the method comprises the steps of refrigeration capacity display, cabinet load capacity display, cabinet U-position space capacity display and cabinet bearing capacity display.
The real-time capacity display system of the data center reads capacity operation data through various sensors and asset acquisition software, and uploads the monitored and acquired data to a data center monitoring system database; calculating to obtain four display data of refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display through a core algorithm preset by the system; and carrying out multi-dimensional intelligent analysis according to the calculated data and the worst adverse factors to obtain an evaluation analysis report, and carrying out real-time capacity display on the four parts of calculated data.
The invention discloses a real-time capacity display method and a real-time capacity display system for a data center, wherein the method comprises the following steps: capacity operation data monitored and collected in real time through a data center are stored in a data center monitoring system database; acquiring the capacity operation data, and performing multi-dimensional data quantity analysis calculation on the capacity state of the data center according to a preset core algorithm; and automatically calculating the calculation and analysis result according to a preset format of capacity display to generate a capacity percentage, carrying out visual imaging display, and automatically generating and outputting a preset analysis report format. According to the capacity percentage imaging display method and device, the capacity percentage imaging display is automatically completed by carrying out calculation analysis and induction summary on the real-time operation data of the data center, and the automatically generated analysis report can give guidance suggestions for transformation, capacity expansion and the like of the data center, so that the operation management efficiency of the data center is effectively improved, the operation maintenance cost of the data center is reduced, great convenience is provided for building a green data center, and great convenience is brought to users for the operation management of the data center.
Drawings
FIG. 1 is a flow chart of a method for displaying real-time capacity of a data center according to a preferred embodiment of the present invention.
Fig. 2 is a schematic diagram of data center real-time capacity imaging display in the data center real-time capacity display method of the present invention.
FIG. 3 is a functional block diagram of a preferred embodiment of a display system of the real-time capacity display system of the data center of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The real-time capacity display method of the data center according to the preferred embodiment of the present invention, as shown in fig. 1, includes the following steps:
and S100, capacity operation data monitored and collected in real time through the data center is stored in a data center monitoring system database.
Specifically, the capacity operation data includes: refrigerating capacity data, cabinet load capacity data, cabinet U-bit space capacity data and cabinet load-bearing capacity data; through abundant data center monitoring data, capacity calculation and display are carried out on multiple aspects such as electric power, air conditioners and environments from a deep level and multiple dimensions.
And S200, acquiring the capacity operation data, and performing multi-dimensional data quantity analysis and calculation on the capacity state of the data center according to a preset core algorithm.
Specifically, the real-time capacity display method of the data center specifically includes four major parts of capacity display: A. displaying the refrigerating capacity; B. displaying the load capacity of the cabinet; C. displaying the space capacity of the U position of the cabinet; D. and displaying the bearing capacity of the cabinet. The capacity display of the four major parts has the preset calculation method and the guidance significance.
A. The refrigeration capacity display part comprises a calculation method of the refrigeration capacity of the air conditioner, a calculation method of the percentage of the overall refrigeration capacity of the data center and a refrigeration capacity display guiding significance, wherein for the data center precision air conditioner with a closed cold and hot channel, the data center precision air conditioner is designed according to the working condition that the temperature is 35-37 ℃ as the return air temperature of the air conditioner, and higher air conditioning refrigeration efficiency can be obtained. In the return air working condition operation process of the precision air conditioner at the moment, the sensible heat ratio reaches 100 percent, so that the refrigerating capacity of the air conditioner is the sensible cooling capacity of the air conditioner.
(1) The method for calculating the refrigerating capacity of the air conditioner comprises the following steps:
Qreal time=ρ*C*MReal time*ΔT=ρ*C*MReal time*(T1-T2);
(2) The method for calculating the total refrigerating capacity allowance of the data center air conditioner comprises the following steps:
ΔQ=Qdesign of-QReal time=QDesign of-ρ*C*MReal time*ΔK=QDesign of-ρ*C*MReal time*(K1-K2);
Wherein Q isReal time: outputting a value (A) of the refrigerating capacity of the air conditioner in real time; mReal time: the output air volume (CMH) corresponding to the real-time operation current value of the indoor fan of the air conditioner; c: air specific heat capacity (kJ/kg ℃ C.); ρ: air Density (kg/m)3) (ii) a Δ K: temperature difference (DEG C) between inlet and outlet air; k1: air conditioner return air temperature (deg.C); k2: air conditioner air supply temperature (DEG C); Δ K: (K1-K2); q design: initially designing refrigerating capacity (kW) in a data center machine room; Δ Q: the total refrigerating capacity allowance (kW) of the data center machine room air conditioner;
(3) the method for calculating the allowance percentage eta of the total refrigerating capacity of the data center comprises the following steps:
Figure BDA0001251678940000091
the parameters in the above formula illustrate:
1, C, ρ: the air specific heat capacity and the air density are two parameters of air state quantity, and in a relatively closed environment in a data center machine room, the temperature and the humidity are relatively constant and constant values;
2.Qdesign of: the initial design refrigerating capacity (kW) of a single cabinet is a constant value;
3.Mreal time: for air-conditioning systems of any specification, the air-conditioning system is operated under the condition of keeping relatively constant return air temperature and humidity, different air volume outputs inevitably correspond to different refrigerating output, different air volume outputs also correspond to different fan operation current values, and fan operation current (I) is monitored in real time through the corresponding relation of fan current and air volume preset in a data center monitoring and management systemReal time: the real-time running current value (A) of the indoor fan of the air conditioner can be detected in real time through a current transformer arranged on a power supply line of the air conditioner and is uploaded to a monitoring management system to obtain the real-time output air quantity of the fan;
4.Δ K: the temperature difference (DEG C) of air inlet and outlet of the air conditioner, and the air supply temperature sensor and the air return temperature sensor are arranged on the precision air conditioner, so that the real-time air return temperature value in the running process of the air conditioner can be detected, and the detected value is uploaded to a monitoring management system to be calculated by a preset method.
Real-time data acquired by various sensors are uploaded to a monitoring management system, and a core calculation method preset in the management system is used for finishing real-time display numerical values of the air conditioner refrigerating capacity Q of a refrigerating capacity display part and the total refrigerating capacity allowance percentage eta of the data center.
By analyzing the above refrigeration capacity displays Q and η, the use condition of the precision air conditioner in the data center can be analyzed in detail, for example: analysis of the calculation result QReal timeAnd QDesign ofIf the difference value delta Q obtained by subtracting the two values is larger, the utilization rate of the air-conditioning refrigerating capacity is lower, the IT heat load is not well matched with the initially designed refrigerating capacity, the expandability of the data center is stronger, and the allowance of the precise air-conditioning refrigerating capacity can ensure the normal operation and heat dissipation of the subsequent IT server after being put on shelf; if the delta Q is smaller, the IT load of the current data center is basically matched with the refrigeration of the air conditioner, and the dataThe center is less expandable. The refrigeration capacity display provides a true and reliable data reference for subsequent data center scalability.
B. And the cabinet load capacity display part comprises a load calculation method of the single cabinet, a calculation method of the total load allowance of the data center cabinet, a cabinet load percentage and guidance significance of cabinet load capacity display.
(1) The method for calculating the load of the single cabinet comprises the following steps:
Preal time=IReal time*UReal time
(2) The method for calculating the total load margin of the data center cabinet comprises the following steps:
ΔP=N*Wdesign of-(PReal time 1+PReal time 2+...+PReal time N);
Wherein, PReal time: a single cabinet real-time IT load (kW); pDesign of: designing an IT load (kW) for a single cabinet initially; i isReal time: the single cabinet outputs current (A) in real time; u shapeReal time: outputting voltage (V) by a single cabinet in real time; n: the number (number) of cabinets in a data center room;
(3) the method for calculating the total load allowance percentage beta of the data center cabinet comprises the following steps:
Figure BDA0001251678940000111
the parameters in the above formula illustrate:
1.Preal time: the IT load is output in real time by the single cabinet, the real-time current value and the voltage value of each cabinet are detected through the main circuit monitoring and branch circuit monitoring and collecting functions in the power distribution cabinet, and the real-time current value and the voltage value are uploaded to an algorithm preset by a data center monitoring and management system to be calculated;
2.Pdesign of: designing an IT load (kW) of a single cabinet initially to be a constant value;
3.Δ P: the total load allowance (kW) of the data center cabinet indicates the IT load value of the cabinet of the data center cabinet for capacity expansion, and the total real-time load of all the cabinets is subtracted from the designed total load of the initial data center cabinet;
4.Ireal time、UReal time: the current (A) and the voltage (V) are output by a single cabinet in real time, a main circuit and a branch circuit monitoring function on a power distribution cabinet can be utilized, a real-time detection current value and a real-time detection voltage value on each cabinet are detected and collected through an intelligent electric instrument and a current transformer, and the current values are uploaded to a monitoring management system to be obtained.
Real-time data acquired by various sensors are uploaded to a data center monitoring management system, and real-time display numerical values of IT load W and the IT load percentage beta of the equipment cabinet are output in real time by a single equipment cabinet of the equipment cabinet load capacity display part through a preset equipment cabinet load calculation method in the management system.
By analyzing the rack load capacity displays W and beta, the rack IT load use condition of the data center can be analyzed in detail, for example, the calculation result P is analyzedReal timeAnd PDesign ofAnd the difference obtained by subtracting the two values is the difference between the current real-time IT load of each cabinet and the designed IT load, and the allowable increased IT load value of the subsequent cabinet is evaluated through the difference.
For example: analyzing the calculation result delta P, and if the value is smaller, indicating that the IT load of the current data center is basically full and is close to the initially designed IT load capacity; meanwhile, the subsequent expandability of the data center is smaller, namely the number of the servers which can be increased subsequently is smaller, and the load capacity of the cabinet is displayed to provide a sufficient and intuitive numerical basis for the operation condition and the expandability of a data center machine room.
C. The cabinet U-bit space capacity display part comprises a calculation method of available U-bit space of a single cabinet, a calculation method of total available U-bit space allowance of a data center cabinet and a guidance meaning of cabinet U-bit space capacity display.
(1) The available U bit space calculation method of the single cabinet is as follows:
Tcan be used=TDesign of-THas been used
(2) The method for calculating the total available U bit space allowance of the data center cabinet comprises the following steps:
ΔT=N*Tis provided withMeter- (T)Used 1+TUsed 2+·····+TUsed N);
Wherein, the explanation represented by the letters is as follows: t isCan be used: a single cabinet may use a U-bit space (U); t isHas been used: a single cabinet already has a U-bit space (U); t isDesign of: designing a U-bit space (U) for a single cabinet; n: the number (number) of cabinets in a data center room; Δ T: the total available space allowance (U) of the data center cabinet is U bit;
(3) the available U-bit space capacity percentage of the cabinet and the calculation method are as follows:
Figure BDA0001251678940000131
the parameters in the above formula illustrate:
1.Tcan be used: the available U-bit space of the single cabinet can be obtained by detecting the used space of each cabinet through the U-bit monitoring and collecting function of the asset strip in each cabinet, uploading the used space to a data center monitoring and management system and calculating the used space in a preset algorithm;
2.Thas been used: the used U-bit space of the single cabinet can be detected through the U-bit monitoring and collecting function of the asset strip in each cabinet;
3.Tdesign of: designing a U-bit space of the single cabinet as a constant value;
4.Δ T: the total available U-bit space allowance of the data center cabinet indicates the U-bit space of the server for capacity expansion of the data center cabinet, and the total U-bit space allowance can be obtained by subtracting the sum of the U-bit spaces used by all the cabinets from the total designed U-bit space of the initial data center cabinet.
The method comprises the steps that the U-bit information of the server which is erected and acquired through an asset U-bit monitoring and acquiring function is uploaded to a data center monitoring and managing system, and the display numerical values of the available U-bit space T of a single cabinet of a cabinet U-bit space capacity display part and the total available U-bit allowance delta T of a data center cabinet are completed through a cabinet U-bit space calculating method preset in the managing system.
By analyzing the above cabinet U-bit space capacity displays T and &, the use condition of the cabinet U-bit space of the data center can be analyzed in detail, for example: analyzing the calculation result T and the design of T, wherein the difference T obtained by subtracting the calculation result T and the design of T is available, namely the U-bit space allowance currently available for the subsequent server of each cabinet; and evaluating the number of U bits of the servers which can be added to the cabinet at present through the difference, and if the number exceeds the available U bit space, not allowing to add excessive servers.
For example: analyzing the calculation result delta T, and if the value is larger, the result can indicate that the number of servers on the rack of the current data center is smaller and the difference with the U-bit space capacity of the initially designed cabinet is larger; meanwhile, the subsequent expandability of the data center is strong, namely the number of the servers which can be subsequently increased is large, and the available U-bit space capacity of the cabinet is displayed to provide a data judgment basis for the shelving condition and the subsequent transformation and expandability of the servers of the data center machine room.
D. The cabinet bearing capacity display part comprises a calculation method for the weight increase of the single cabinet, a calculation method for the total weight increase of the data center cabinet and a guidance meaning of cabinet bearing capacity display.
(1) The method for calculating the weight increase of the single cabinet comprises the following steps:
Wcan be used=WDesign of-WHas been used
(2) The method for calculating the total weight increase of the data center cabinet comprises the following steps:
ΔW=N*Wdesign of-(WUsed 1+WUsed 2+·····+WUsed N);
Wherein, WCan be used: the weight (kg) of the single cabinet can be increased; wDesign of: initially designing the single cabinet to bear load (kg); wHas been used: the existing weight (kg) of the single cabinet server; n: the number (number) of cabinets in a data center room; Δ W: the total weight allowance (kg) of the data center cabinet can be increased;
(3) the calculation method of the weight-increasing percentage theta of the data center cabinet comprises the following steps:
Figure BDA0001251678940000141
the parameters in the above formula illustrate:
1.Wcan be used: the weight of each single cabinet can be increased, the weight information of the servers on shelves in each cabinet can be acquired through the asset monitoring and acquiring function in each cabinet, and is uploaded to a data center monitoring and management system and calculated through a preset algorithm;
2.Whas been used: the existing weight of the single cabinet server can be used for acquiring the weight information of the servers on shelves in each cabinet through the asset monitoring and acquiring function in each cabinet;
3.Wdesign of: initially designing the load bearing of the single cabinet to be a constant value;
4.Δ W: the data center cabinet can increase the weight, which indicates that the data center cabinet can be used for expanding the weight of the server, and the weight can be obtained by subtracting the sum of the weights of the existing servers of all the cabinets from the initial total design load of the data center cabinet.
The weight information of the used servers acquired by the asset information monitoring and acquiring function is uploaded to a data center monitoring and managing system, and the display numerical values of the single cabinet weight increasing W and the data center cabinet weight increasing delta W of the cabinet weight bearing capacity display part are output by a cabinet weight bearing calculation method preset in the managing system.
By analyzing the above load-bearing capacity display W and Δ W, the load-bearing usage status of the rack of the data center can be analyzed in detail, for example, the analysis calculation result W is used and the design of W, the difference W obtained by subtracting the two is available, that is, the allowable weight of each rack for the subsequent added servers at present, the number of servers which can be added to the rack at present can be estimated by the difference, and if the load-bearing capacity display W and Δ W exceed the allowable load-bearing requirement of the rack, the addition of too many servers is not allowed. The cabinet bearing capacity display provides evaluation basis for floor bearing and cabinet bearing conditions of the data center machine room and the transformation performance and the capacity expansion performance of the subsequent machine room.
In conclusion, capacity operation data are read through a sensor on the air conditioner and asset acquisition software, and the data acquired through monitoring are uploaded to a data center monitoring system database; calculating to obtain four display data of refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display through a core algorithm preset by the system; and carrying out multi-dimensional intelligent analysis according to the calculated data and the worst adverse factors to obtain an evaluation analysis report, and carrying out real-time capacity display on the four parts of calculated data.
And step S300, automatically calculating the calculation and analysis result according to a preset format of capacity display to generate a capacity percentage, carrying out visual imaging display, and automatically generating and outputting a preset analysis report format.
Specifically, the visual graphical display comprises four major parts: refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display; the capacity display of each part is provided with a preset core calculation method, and real-time operation data detected in a data center monitoring system database are read; carrying out multi-dimensional data volume analysis on the capacity state of the data center by using the real-time operation data of the data center according to each capacity calculation preset core algorithm; and automatically calculating the calculation and analysis result according to a preset format of capacity display to generate a capacity percentage, carrying out visual imaging display, and automatically generating a preset analysis report format.
According to the real-time capacity display method of the data center, provided by the invention, the capacity calculation and display are carried out on multiple dimensions such as electric power, air conditioners and environment from the deep level perspective through abundant data center monitoring data, the capacity percentage is automatically calculated and generated according to the analysis result and a preset format of the capacity display, the visual image display is carried out, and finally, an analysis report can be automatically generated.
The data center real-time capacity imaging display is shown in fig. 2 (note: capacity display data is for reference only).
The data center real-time capacity display analysis report format is as follows: (Note: Capacity display data for reference only)
Figure BDA0001251678940000171
Figure BDA0001251678940000181
According to a core calculation algorithm preset by a data center monitoring and management system, four parts of related data such as refrigerating capacity Q, cabinet load P, cabinet U-bit space T and cabinet bearing W can be obtained; through deep analysis of four major data, it can be known that, for a data center room, data of any one part has a special meaning, and discussion is performed from multiple dimensions, and a judgment cannot be made on capacity expansion or transformation of a cabinet by means of one or two part data alone, for example: the refrigerating capacity Q margin of the data center obtained through calculation is large, the margin of the load P which can be increased by the cabinet is large, if the U-bit space T of the cabinet is smaller than the load bearing of the floor of the machine room or the load bearing W of the cabinet, the data center does not allow excessive increase of servers (namely the four most calculated data size relations are Q & gtP & gtW & gtT), comprehensive judgment is carried out, the obtained guidance analysis suggestion uses the U-bit space T which can be used by the cabinet with the least adverse factor as a final evaluation reference for subsequent expansion or transformation of the data center, and only multi-dimensional analysis comparison is carried out through multi-dimensional real-time capacity display of the data center, the most real and most practical judgment conclusion can be made on the machine room of the data center, and the most reliable judgment conclusion can be made for users.
The present invention further provides a real-time capacity display system of a data center, as shown in fig. 3, fig. 3 is a functional block diagram of a preferred embodiment of the real-time capacity display system of the data center according to the present invention; the system comprises:
the data acquisition and storage module 210 is used for monitoring and acquiring capacity operation data in real time through a data center and storing the capacity operation data into a data center monitoring system database; as described above.
The data analysis and calculation module 220 is configured to acquire the capacity operation data, and perform multidimensional data volume analysis and calculation on the capacity state of the data center according to a preset core algorithm; as described above.
The data display and report generation module 230 is configured to automatically calculate and generate a capacity percentage according to a preset format of capacity display for the calculation and analysis result, perform visual imaging display, and automatically generate and output a preset analysis report format; as described above.
Further, the real-time capacity display system of the data center, wherein the capacity operation data includes: refrigerating capacity data, cabinet load capacity data, cabinet U-bit space capacity data and cabinet load-bearing capacity data; the visual graphical display comprises: refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display; as described above.
Furthermore, the real-time capacity display system of the data center reads capacity operation data through various sensors and asset acquisition software, and uploads the monitored and acquired data to a data center monitoring system database; calculating to obtain four display data of refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display through a core algorithm preset by the system; and carrying out multi-dimensional intelligent analysis according to the calculated data and the worst adverse factors to obtain an evaluation analysis report, and carrying out real-time capacity display on the four parts of calculated data.
In summary, the present invention provides a real-time capacity display method and system for a data center, where the method includes: capacity operation data monitored and collected in real time through a data center are stored in a data center monitoring system database; acquiring the capacity operation data, and performing multi-dimensional data quantity analysis calculation on the capacity state of the data center according to a preset core algorithm; and automatically calculating the calculation and analysis result according to a preset format of capacity display to generate a capacity percentage, carrying out visual imaging display, and automatically generating and outputting a preset analysis report format. According to the capacity percentage imaging display method and device, the capacity percentage imaging display is automatically completed by carrying out calculation analysis and induction summary on the real-time operation data of the data center, and the automatically generated analysis report can give guidance suggestions for transformation, capacity expansion and the like of the data center, so that the operation management efficiency of the data center is effectively improved, the operation maintenance cost of the data center is reduced, great convenience is provided for building a green data center, and great convenience is brought to users for the operation management of the data center.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the program may be stored in a computer readable storage medium, and when executed, the program may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.

Claims (8)

1. A real-time capacity display method of a data center is characterized by comprising the following steps:
step A: monitoring and acquiring capacity operation data in real time through a data center, and storing the capacity operation data in a data center monitoring system database;
and B: acquiring the capacity operation data, and performing multi-dimensional data quantity analysis calculation on the capacity state of the data center according to a preset core algorithm;
and C: automatically calculating the calculation and analysis result according to a preset format of capacity display to generate a capacity percentage, performing visual imaging display, and automatically generating and outputting a preset analysis report format;
the capacity operation data includes: refrigerating capacity data, cabinet load capacity data, cabinet U-bit space capacity data and cabinet load-bearing capacity data;
the visual graphical display comprises: refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display;
the capacity display of each part is provided with a preset core calculation method, and the real-time operation data of the data center is subjected to multi-dimensional data volume analysis on the capacity state of the data center according to each capacity calculation preset core algorithm by reading the real-time operation data detected in a data center monitoring system database;
wherein, the calculation parameters of the refrigeration capacity display comprise: the real-time output value of the refrigerating capacity of the air conditioner, the output air quantity corresponding to the real-time running current value of an indoor fan of the air conditioner, the specific heat capacity of air and the air density are obtained;
the calculation parameters of the cabinet load capacity display comprise: the equipment cabinets output current and voltage in real time, and the real-time current value and the real-time voltage value of each channel of equipment cabinet are detected through the main circuit monitoring and branch circuit monitoring and collecting functions in the power distribution cabinet;
calculating parameters displayed by the U-bit space capacity of the cabinet are obtained through the U-bit monitoring and collecting function of the asset strip in each cabinet;
and carrying out multi-dimensional intelligent analysis according to the calculated data and the worst adverse factors to obtain an evaluation analysis report, and carrying out real-time capacity display on the four parts of calculated data.
2. The real-time capacity display method of a data center according to claim 1, wherein the refrigeration capacity display is calculated by a preset core algorithm as follows:
the method for calculating the refrigerating capacity of the air conditioner comprises the following steps:
Qreal time=ρ*C*MReal time*ΔK=ρ*C*MReal time*(K1-K2);
The method for calculating the total refrigerating capacity allowance of the data center air conditioner comprises the following steps:
ΔQ=Qdesign of-QReal time=QDesign of-ρ*C*MReal time*ΔK=QDesign of-ρ*C*MReal time*(K1-K2);
Wherein Q isReal time: real-time output value (kW) of air conditioner refrigerating capacity; mReal time: the output air volume (CMH) corresponding to the real-time operation current value of the indoor fan of the air conditioner; c: air specific heat capacity (kJ/kg ℃ C.); ρ: air Density (kg/m)3) (ii) a Δ K: temperature difference (DEG C) between inlet and outlet air; k1: air conditioner return air temperature (deg.C); k2: air conditioner air supply temperature (DEG C); Δ K: (K)1-K2);QDesign of: initially designing refrigerating capacity (kW) in a data center machine room; Δ Q: the total refrigerating capacity allowance (kW) of the data center machine room air conditioner;
the method for calculating the allowance percentage eta of the total refrigerating capacity of the data center comprises the following steps:
Figure FDA0002847716020000021
real-time data acquired by a sensor in the air conditioner are uploaded to a data center monitoring management system, and real-time display numerical values of the air conditioner refrigerating capacity Q of a refrigerating capacity display part and the total refrigerating capacity allowance percentage eta of the data center are completed through a core calculation method preset in the management system.
3. The real-time capacity display method of the data center according to claim 1, wherein the cabinet load capacity display is calculated by a preset core algorithm as follows:
the method for calculating the load of the single cabinet comprises the following steps:
Preal time=IReal time*UReal time
The method for calculating the total load margin of the data center cabinet comprises the following steps:
ΔP=N*Pdesign of-(PReal time 1+PReal time 2+...+PReal time N);
Wherein, PReal time: a single cabinet real-time IT load (kW); pDesign of: designing an IT load (kW) for a single cabinet initially; i isReal time: the single cabinet outputs current (A) in real time; u shapeReal time: outputting voltage (V) by a single cabinet in real time; n: the number (number) of cabinets in a data center room; Δ P: data center cabinet total load margin (kW);
the method for calculating the total load allowance percentage beta of the data center cabinet comprises the following steps:
Figure FDA0002847716020000031
real-time data of each path of equipment cabinet is detected through a main path monitoring and branch path monitoring and collecting function in the power distribution cabinet, the real-time data is uploaded to a data center monitoring and management system, and real-time display numerical values of the IT load W and the equipment cabinet IT load percentage beta of the single equipment cabinet of the equipment cabinet load capacity display part are output in real time through a preset equipment cabinet load calculation method in the management system.
4. The real-time capacity display method of the data center according to claim 1, wherein the capacity display of the U-bit space of the cabinet is calculated by a preset core algorithm as follows:
the available U bit space calculation method of the single cabinet is as follows:
Tcan be used=TDesign of-THas been used
The method for calculating the total available U bit space allowance of the data center cabinet comprises the following steps:
ΔT=N*Tdesign of-(TUsed 1+TUsed 2+·····+TUsed N);
Wherein, the explanation represented by the letters is as follows: t isCan be used: a single cabinet may use a U-bit space (U); t isHas been used: a single cabinet already has a U-bit space (U); t isDesign of: designing a U-bit space (U) for a single cabinet; n: the number (number) of cabinets in a data center room;Δ T: the total available space allowance (U) of the data center cabinet is U bit;
the available U-bit space capacity percentage of the cabinet and the calculation method are as follows:
Figure FDA0002847716020000041
the method comprises the steps that the U-bit information of the server which is erected and acquired through an asset U-bit monitoring and acquiring function is uploaded to a data center monitoring and management system, and the display numerical values of the available U-bit space T of a single cabinet of a cabinet U-bit space capacity display part, the total available U-bit allowance delta T of the data center cabinet and the available U-bit space capacity percentage & of the cabinet are completed through a cabinet U-bit space calculation method preset in the management system.
5. The real-time capacity display method of the data center according to claim 1, wherein the cabinet bearing capacity display is calculated by a preset core algorithm as follows:
the method for calculating the weight increase of the single cabinet comprises the following steps:
Wcan be used=WDesign of-WHas been used
The method for calculating the total weight increase of the data center cabinet comprises the following steps:
ΔW=N*Wdesign of-(WUsed 1+WUsed 2+·····+WUsed N);
Wherein, WCan be used: the weight (kg) of the single cabinet can be increased; wDesign of: initially designing the single cabinet to bear load (kg); wHas been used: the existing weight (kg) of the single cabinet server; n: the number (number) of cabinets in a data center room; Δ W: the total weight allowance (kg) of the data center cabinet can be increased;
the calculation method of the weight-increasing percentage theta of the data center cabinet comprises the following steps:
Figure FDA0002847716020000051
the weight information of the used servers acquired by the asset information monitoring and acquiring function is uploaded to a data center monitoring and managing system, and display numerical values of the single cabinet weight increasing W, the data center cabinet weight increasing delta W and the data center cabinet weight increasing percentage theta of a cabinet bearing capacity display part are output by a cabinet bearing calculation method preset in the managing system.
6. The real-time capacity display method of the data center according to claim 1, characterized in that capacity operation data is read by a sensor and asset acquisition software, and the data acquired by monitoring is uploaded to a data center monitoring system database; four display data of refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display are obtained through calculation of a core algorithm preset by the system.
7. A real-time capacity display system for a data center, the system comprising:
the data acquisition and storage module is used for monitoring and acquiring capacity operation data in real time through a data center and storing the capacity operation data into a data center monitoring system database;
the data analysis and calculation module is used for acquiring the capacity operation data and performing multi-dimensional data quantity analysis and calculation on the capacity state of the data center according to a preset core algorithm;
the data display and report generation module is used for automatically calculating the calculation and analysis result according to a preset format of capacity display to generate a capacity percentage, carrying out visual imaging display, and automatically generating and outputting a preset analysis report format;
the capacity operation data includes: refrigerating capacity data, cabinet load capacity data, cabinet U-bit space capacity data and cabinet load-bearing capacity data; the visual graphical display comprises: refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display;
the capacity display of each part is provided with a preset core calculation method, and the real-time operation data of the data center is subjected to multi-dimensional data volume analysis on the capacity state of the data center according to each capacity calculation preset core algorithm by reading the real-time operation data detected in a data center monitoring system database;
wherein, the calculation parameters of the refrigeration capacity display comprise: the real-time output value of the refrigerating capacity of the air conditioner, the output air quantity corresponding to the real-time running current value of an indoor fan of the air conditioner, the specific heat capacity of air and the air density are obtained;
the calculation parameters of the cabinet load capacity display comprise: the equipment cabinets output current and voltage in real time, and the real-time current value and the real-time voltage value of each channel of equipment cabinet are detected through the main circuit monitoring and branch circuit monitoring and collecting functions in the power distribution cabinet;
calculating parameters displayed by the U-bit space capacity of the cabinet are obtained through the U-bit monitoring and collecting function of the asset strip in each cabinet;
and carrying out multi-dimensional intelligent analysis according to the calculated data and the worst adverse factors to obtain an evaluation analysis report, and carrying out real-time capacity display on the four parts of calculated data.
8. The real-time capacity display system of the data center according to claim 7, wherein capacity operation data is read through various types of sensors and asset acquisition software, and the data acquired by monitoring is uploaded to a data center monitoring system database; four display data of refrigeration capacity display, cabinet load capacity display, cabinet U-bit space capacity display and cabinet bearing capacity display are obtained through calculation of a core algorithm preset by the system.
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Publication number Priority date Publication date Assignee Title
CN108921243B (en) * 2018-06-21 2021-08-17 中国联合网络通信集团有限公司 Method and device for acquiring capacity of data center
CN109189635A (en) * 2018-08-01 2019-01-11 长沙龙生光启新材料科技有限公司 A method of it is tracked inventory by cloud system
CN109165139A (en) * 2018-08-07 2019-01-08 长沙龙生光启新材料科技有限公司 A method of it is tracked inventory by cloud system
CN109587996A (en) * 2018-10-15 2019-04-05 平安科技(深圳)有限公司 The position U management method, corresponding device and the electronic equipment of server cabinet
CN110659748A (en) * 2019-09-04 2020-01-07 北京达佳互联信息技术有限公司 Information acquisition method and device, electronic equipment and storage medium
CN111027649A (en) * 2019-11-11 2020-04-17 深圳供电局有限公司 Data center cabinet use information management method and system
CN110913662B (en) * 2019-12-03 2021-09-10 中国工商银行股份有限公司 Management method and device for data center, electronic equipment and medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101510114A (en) * 2008-02-12 2009-08-19 埃森哲环球服务有限公司 System for monitoring the energy efficiency of technology components
CN103743343A (en) * 2014-01-10 2014-04-23 深圳市共济科技有限公司 Data center IT (information technology) machine cabinet volume detection method and system

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101409645B (en) * 2007-10-08 2011-05-25 联想(北京)有限公司 System and method for monitoring server machine cabinet load-bearing safety
CN103063252B (en) * 2012-12-27 2015-06-10 德讯科技股份有限公司 Data center running state comprehensive evaluation method based on high-density state acquisition
CN103049666A (en) * 2012-12-27 2013-04-17 德讯科技股份有限公司 Data center machine room capacity analysis processing method based on space and energy consumption
US9851726B2 (en) * 2013-09-04 2017-12-26 Panduit Corp. Thermal capacity management
CN104461822B (en) * 2014-11-12 2019-01-15 北京百度网讯科技有限公司 A kind of the capacity monitoring and managing method and device of data center
CN105760277A (en) * 2016-02-25 2016-07-13 深圳市共济科技有限公司 Method and system for automatically displaying data center running condition analysis report

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101510114A (en) * 2008-02-12 2009-08-19 埃森哲环球服务有限公司 System for monitoring the energy efficiency of technology components
CN103743343A (en) * 2014-01-10 2014-04-23 深圳市共济科技有限公司 Data center IT (information technology) machine cabinet volume detection method and system

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