CN103063252B - Data center running state comprehensive evaluation method based on high-density state acquisition - Google Patents
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Abstract
The invention belongs to the field of computers, and relates to a data center operation state comprehensive evaluation method based on high-density state acquisition. The invention can evaluate the comprehensive operation state of the data center more intuitively and can improve the operation and maintenance of the data center.
Description
Technical field
The invention belongs to computer realm, relate to a kind of method of carrying out running status comprehensive assessment for data center, specifically a kind of data center's running status comprehensive estimation method gathered based on high-density state.
Background technology
Along with the fast development of informatization, the very fast expansion of business event demand, and the rise of the series of concepts such as cloud computing, Internet of Things, impel following data center to propose high requirement to performance.Having a high-performance data center that can meet business demand very well will be of paramount importance core strategy place in IT application in enterprise, therefore the success or failure of Constructing data center are by the development of the IT construction situation and enterprise future that are directly connected to enterprise, which type of data center can deserve to be called the data center of high-performance, operational excellence, goes back the more comprehensive objective appraisal method of neither one.
Summary of the invention
Technical matters to be solved by this invention is, overcomes the shortcoming of prior art, provides a kind of data center's running status comprehensive estimation method gathered based on high-density state, can optimize the operation management to data center.
The technical scheme that the present invention solves above technical matters is:
Based on data center's running status comprehensive estimation method that high-density state gathers, comprise the following steps:
(i) the heart disposes multiple temperature acquisition sensor, humidity collection sensor, water logging state pick-up transducers, gate inhibition's state acquisition sensor, cigarette sense state acquisition sensor, current acquisition sensor, voltage acquisition sensor and electric quantity collector in the data;
Temperature acquisition sensor is placed into the Qianmen of each rack in data center, back door, face, left and right, enclosure top and rack bottom, the temperature value of these positions of Real-time Collection, reflect focus and the cold spot of each interior of equipment cabinet, thus improve the ventilation state of interior of equipment cabinet;
Humidity sensor usually and temperature sensor put together, the humidity value of Real-Time Monitoring set-point;
Under water sensor is placed into data center floor, whether Real-time Monitoring Data center has the situation of leaking;
Entrance guard sensor is placed into cabinet door place of data center, the on off state of Real-Time Monitoring cabinet door;
Cigarette propagated sensation sensor is placed into the cabinet top place of each rack of data center, whether has the smog because the condition of a fire causes in Real-Time Monitoring rack;
Current sensor is placed into the electric power incoming line place of server apparatus, obtains the input current value of equipment in real time;
Voltage sensor is placed on a certain road electric wire of data center, obtains the magnitude of voltage of this supply line in real time;
Electrical quantity sensor is placed into the electric power incoming line place of server apparatus, calculates the charge value of devices consume in real time;
The temperature data value of multiple collection point, humidity data value, water logging state, gate inhibition's state, cigarette sense state, size of current data value, voltage swing data value and electricity size data value is obtained by pick-up transducers;
(ii) by the temperature to collection, humidity, electric current, voltage, water logging state, gate inhibition's state and the tabulate statistics of cigarette sense status data, following data are drawn:
The temperature maximum of data center, minimum and mean value;
The humidity mxm. of data center, minimum and mean value;
The current value of data center server and the network equipment;
The magnitude of voltage of data center server and the network equipment;
The charge value of data center server and the network equipment, the charge value of data center;
The water logging safe condition that data center disposes;
The cigarette sense safe condition that data center disposes;
The on off state of each in data center;
(iii) to step (ii) in image data threshold values is set, when reaching condition, produce and report to the police, simultaneously by the warning order of severity, warning is divided into slight, general and serious three ranks, by adding up the alert data produced, obtain the temperature of data center, humidity, electric current, voltage, water logging, the alarm times of gate inhibition and each severity level of cigarette sense and total alarm times;
(iv) according to step result (ii) and (iii), energy utilization rate, electricity consumption warning, environment warning, alarm response degree and these dimensions of capacity status are marked, then the score of each dimension is pressed to the weights of setting, calculate the integrate score of data center, described integrate score=energy utilization rate score * energy utilization rate weight+electricity consumption warning score * electricity consumption warning weight+environment warning score * environment warning weight+alarm response degree score * alarm response degree weight+capacity status score * capacity status weight;
(v) the individual event score of energy utilization rate, electricity consumption warning, environment warning, alarm response degree, these dimensions of capacity status is shown in the mode of radar map, the integrate score of data center, and temperature alarming, humidity alarm, electric current warning, voltage alarm, water logging warning, gate inhibition reports to the police and cigarette sense is reported to the police the warning quantity of each alert levels.
The technical scheme that the present invention limits further is:
Aforesaid based on high-density state gather data center's running status comprehensive estimation method, step (iv) in:
Energy utilization rate and industry mean value and industry-leading value are contrasted, the energy utilization rate of data center are marked,
Energy utilization rate value is lower, and show that data center's energy efficiency rate is higher, score is higher, otherwise score is lower;
According to alert levels and the quantity of the electric current in electricity consumption and voltage, report to the police to data center's electricity consumption and mark, warning quantity is fewer, and rank is lower, and show that the electricity consumption of data center is healthier, score is higher, otherwise score is lower;
The environmentally alert levels of middle temperature, humidity, water logging, gate inhibition and cigarette sense and quantity, report to the police to data center environment and mark, warning quantity is fewer, and rank is lower, and show that the environment of data center is healthier, score is higher, otherwise score is lower;
According to the timely degree to the alert data process produced, mark to alarm response degree, alert process is more timely, and show that the Comparison of Management of data center is good, score is higher, otherwise score is lower
According to the occupancy of data center's capacity, mark to the capacity status of data center, it is more reasonable to use data center's capacity, and score is higher, otherwise score is lower.
Aforesaid based on high-density state gather data center's running status comprehensive estimation method, step (iii) in, collection point temperature >30 °, produce alert data; Collection point electric current >30A, produces and reports to the police.
Aforesaid based on high-density state gather data center's running status comprehensive estimation method, step (iv) in, energy utilization rate equals total electricity divided by the total electricity of IT facility.
The invention has the beneficial effects as follows: the present invention is by the high density data collection to data center, by the comprehensive quantification analysis carrying out various dimensions to institute's image data, evaluate the integrated operation state of data center more intuitively, the operation maintenance to data center can be improved.
Embodiment
embodiment 1
The present embodiment is a kind of data center's running status comprehensive estimation method gathered based on high-density state, comprises the following steps:
(i) the heart disposes multiple temperature acquisition sensor, humidity collection sensor, water logging state pick-up transducers, gate inhibition's state acquisition sensor, cigarette sense state acquisition sensor, current acquisition sensor, voltage acquisition sensor and electric quantity collector in the data;
Temperature acquisition sensor is placed into the Qianmen of each rack in data center, back door, face, left and right, enclosure top and rack bottom, the temperature value of these positions of Real-time Collection, reflect focus and the cold spot of each interior of equipment cabinet, thus improve the ventilation state of interior of equipment cabinet;
Humidity sensor usually and temperature sensor put together, the humidity value of Real-Time Monitoring set-point;
Under water sensor is placed into data center floor, whether Real-time Monitoring Data center has the situation of leaking;
Entrance guard sensor is placed into cabinet door place of data center, the on off state of Real-Time Monitoring cabinet door;
Cigarette propagated sensation sensor is placed into the cabinet top place of each rack of data center, whether has the smog because the condition of a fire causes in Real-Time Monitoring rack;
Current sensor is placed into the electric power incoming line place of server apparatus, obtains the input current value of equipment in real time;
Voltage sensor is placed on a certain road electric wire of data center, obtains the magnitude of voltage of this supply line in real time;
Electrical quantity sensor is placed into the electric power incoming line place of server apparatus, calculates the charge value of devices consume in real time;
The temperature data value of multiple collection point, humidity data value, water logging state, gate inhibition's state, cigarette sense state, size of current data value, voltage swing data value and electricity size data value is obtained by pick-up transducers;
(ii) by the temperature to collection, humidity, electric current, voltage, water logging state, gate inhibition's state and the tabulate statistics of cigarette sense status data, following data are drawn:
The temperature maximum of data center, minimum and mean value;
The humidity mxm. of data center, minimum and mean value;
The current value of data center server and the network equipment;
The magnitude of voltage of data center server and the network equipment;
The charge value of data center server and the network equipment, the charge value of data center;
The water logging safe condition that data center disposes;
The cigarette sense safe condition that data center disposes;
The on off state of each in data center;
(iii) to step (ii) in image data threshold values is set, when reaching condition, produce report to the police, such as collection point temperature >30 °, produce alert data; Collection point electric current >30A, produce and report to the police, simultaneously by the warning order of severity, warning is divided into slight, general and serious three ranks, by adding up the alert data produced, obtain the temperature of data center, humidity, electric current, voltage, water logging, the alarm times of gate inhibition and each severity level of cigarette sense and total alarm times;
(iv) according to step result (ii) and (iii), energy utilization rate, electricity consumption warning, environment warning, alarm response degree and these dimensions of capacity status are marked; Energy utilization rate PUE equals total electricity divided by the total electricity of IT facility;
Energy utilization rate and industry mean value and industry-leading value are contrasted, the energy utilization rate of data center are marked,
Energy utilization rate value is lower, and show that data center's energy efficiency rate is higher, score is higher, otherwise score is lower;
According to alert levels and the quantity of the electric current in electricity consumption and voltage, report to the police to data center's electricity consumption and mark, warning quantity is fewer, and rank is lower, and show that the electricity consumption of data center is healthier, score is higher, otherwise score is lower;
The environmentally alert levels of middle temperature, humidity, water logging, gate inhibition and cigarette sense and quantity, report to the police to data center environment and mark, warning quantity is fewer, and rank is lower, and show that the environment of data center is healthier, score is higher, otherwise score is lower;
According to the timely degree to the alert data process produced, mark to alarm response degree, alert process is more timely, and show that the Comparison of Management of data center is good, score is higher, otherwise score is lower
According to the occupancy of data center's capacity, mark to the capacity status of data center, it is more reasonable to use data center's capacity, and score is higher, otherwise score is lower;
Then the score of each dimension is pressed to the weights of setting, calculate the integrate score of data center, described integrate score=energy utilization rate score * energy utilization rate weight+electricity consumption warning score * electricity consumption warning weight+environment warning score * environment warning weight+alarm response degree score * alarm response degree weight+capacity status score * capacity status weight;
(v) the individual event score of energy utilization rate, electricity consumption warning, environment warning, alarm response degree, these dimensions of capacity status is shown in the mode of radar map, the integrate score of data center, and temperature alarming, humidity alarm, electric current warning, voltage alarm, water logging warning, gate inhibition reports to the police and cigarette sense is reported to the police the warning quantity of each alert levels.
When the present embodiment is specifically implemented:
Dispose collecting device:
Feel at ease in the data dress can collecting temperature, humidity, electric current, voltage, electricity, water logging, gate inhibition, cigarette sense collector device, then these devices are added in environmental monitoring system.
Policy deployment, in environmental monitoring system, customization is reported to the police tactful, as collection point temperature >30 °, produces alert data; Collection point electric current >30A, produces alert data.
Data acquisition, the master data that each sensor of real time record gathers.
Data mining:
Count the highest, minimum, the average temperature value of data center;
Count the highest, minimum, the medial humidity value of data center;
Count total electricity of data center IT facility, total electricity of data center, calculate the PUE(energy utilization rate of data center) value, the total electricity of PUE=/total electricity of IT facility;
Count data center's temperature, humidity, electric current, voltage, water logging, gate inhibition, the alarm times of cigarette sense and the alarm times of each alert levels.
The comprehensive analytical calculation of running status health degree:
PUE value and industry mean value, industry-leading value are contrasted, the energy utilization rate of data center is marked;
According to alert levels and the quantity of electricity consumption aspect (electric current, voltage), marked in data center's electricity consumption aspect;
Environmentally the alert levels of aspect (temperature, humidity, water logging, gate inhibition, cigarette sense) and quantity, mark to data center environment aspect;
According to the timely degree to the alert data process produced, alarm response degree is marked;
According to the occupancy of data center's capacity, the capacity status of data center is marked;
According to scoring and the respective weights of above 5 individual events, calculating data center must running status scoring.
In addition to the implementation, the present invention can also have other embodiments.All employings are equal to the technical scheme of replacement or equivalent transformation formation, all drop on the protection domain of application claims.
Claims (3)
1., based on data center's running status comprehensive estimation method that high-density state gathers, comprise the following steps:
(i) the heart disposes multiple temperature acquisition sensor, humidity collection sensor, water logging state pick-up transducers, gate inhibition's state acquisition sensor, cigarette sense state acquisition sensor, current acquisition sensor, voltage acquisition sensor and electric quantity collector in the data;
Described temperature acquisition sensor is placed into the Qianmen of each rack in data center, back door, face, left and right, enclosure top and rack bottom, the temperature value of these positions of Real-time Collection, reflect focus and the cold spot of each interior of equipment cabinet, thus improve the ventilation state of interior of equipment cabinet;
Described humidity sensor usually and temperature sensor put together, the humidity value of Real-Time Monitoring set-point;
Under described water sensor is placed into data center floor, whether Real-time Monitoring Data center has the situation of leaking;
Described entrance guard sensor is placed into cabinet door place of data center, the on off state of Real-Time Monitoring cabinet door;
Described cigarette propagated sensation sensor is placed into the cabinet top place of each rack of data center, whether has the smog because the condition of a fire causes in Real-Time Monitoring rack;
Described current sensor is placed into the electric power incoming line place of server apparatus, obtains the input current value of equipment in real time;
Described voltage sensor is placed on a certain road electric wire of data center, obtains the magnitude of voltage of this supply line in real time;
Described electrical quantity sensor is placed into the electric power incoming line place of server apparatus, calculates the charge value of devices consume in real time;
The temperature data value of multiple collection point, humidity data value, water logging state, gate inhibition's state, cigarette sense state, size of current data value, voltage swing data value and electricity size data value is obtained by pick-up transducers;
(ii) by the temperature to collection, humidity, electric current, voltage, water logging state, gate inhibition's state and the tabulate statistics of cigarette sense status data, following data are drawn:
The temperature maximum of data center, minimum and mean value;
The humidity mxm. of data center, minimum and mean value;
The current value of data center server and the network equipment;
The magnitude of voltage of data center server and the network equipment;
The charge value of data center server and the network equipment, the charge value of data center;
The water logging safe condition that data center disposes;
The cigarette sense safe condition that data center disposes;
The on off state of each in data center;
(iii) to step (ii) in image data threshold values is set, when reaching condition, produce and report to the police, simultaneously by the warning order of severity, warning is divided into slight, general and serious three ranks, by adding up the alert data produced, obtain the temperature of data center, humidity, electric current, voltage, water logging, the alarm times of gate inhibition and each severity level of cigarette sense and total alarm times;
It is characterized in that:
(iv) according to step result (ii) and (iii), energy utilization rate, electricity consumption warning, environment warning, alarm response degree and these dimensions of capacity status are marked, then the score of each dimension is pressed to the weights of setting, calculate the integrate score of data center, described integrate score=energy utilization rate score * energy utilization rate weight+electricity consumption warning score * electricity consumption warning weight+environment warning score * environment warning weight+alarm response degree score * alarm response degree weight+capacity status score * capacity status weight;
Described step (iv) in:
Energy utilization rate and industry mean value and industry-leading value are contrasted, the energy utilization rate of data center are marked,
Energy utilization rate value is lower, and show that data center's energy efficiency rate is higher, score is higher, otherwise score is lower;
According to alert levels and the quantity of the electric current in electricity consumption and voltage, report to the police to data center's electricity consumption and mark, warning quantity is fewer, and rank is lower, and show that the electricity consumption of data center is healthier, score is higher, otherwise score is lower;
The environmentally alert levels of middle temperature, humidity, water logging, gate inhibition and cigarette sense and quantity, report to the police to data center environment and mark, warning quantity is fewer, and rank is lower, and show that the environment of data center is healthier, score is higher, otherwise score is lower;
According to the timely degree to the alert data process produced, mark to alarm response degree, alert process is more timely, and show that the Comparison of Management of data center is good, score is higher, otherwise score is lower
According to the occupancy of data center's capacity, mark to the capacity status of data center, it is more reasonable to use data center's capacity, and score is higher, otherwise score is lower;
(v) the individual event score of energy utilization rate, electricity consumption warning, environment warning, alarm response degree, these dimensions of capacity status is shown in the mode of radar map, the integrate score of data center, and temperature alarming, humidity alarm, electric current warning, voltage alarm, water logging warning, gate inhibition reports to the police and cigarette sense is reported to the police the warning quantity of each alert levels.
2., as claimed in claim 1 based on data center's running status comprehensive estimation method that high-density state gathers, it is characterized in that: described step (iii) in, collection point temperature >30 °, produces alert data; Collection point electric current >30A, produces and reports to the police.
3., as claimed in claim 1 based on data center's running status comprehensive estimation method that high-density state gathers, it is characterized in that: described step (iv) in, energy utilization rate equals total electricity divided by the total electricity of IT facility.
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| CN103310107A (en) * | 2013-06-24 | 2013-09-18 | 浪潮电子信息产业股份有限公司 | Method for evaluating energy efficiency of data center infrastructure |
| CN103440323A (en) * | 2013-09-02 | 2013-12-11 | 国家电网公司 | Method for rapidly finding maximum value of temperature of transformer substation |
| CN104955042B (en) * | 2015-04-17 | 2019-01-11 | 深圳市威矽星通信技术有限公司 | A kind of data center's processing method and system applied to Internet of Things |
| CN107656843A (en) * | 2016-07-26 | 2018-02-02 | 上海北塔软件股份有限公司 | A kind of detection method of operation system health |
| CN107038100B (en) * | 2017-03-22 | 2021-06-01 | 深圳市共济科技股份有限公司 | Real-time capacity display method and system for data center |
| CN109520560A (en) * | 2018-10-01 | 2019-03-26 | 上海黄龙物联网科技有限公司 | Equipment state detecting method and system |
| CN110705062A (en) * | 2019-09-20 | 2020-01-17 | 苏州智博汇能电子科技股份有限公司 | Cabinet energy consumption remote statistical metering method based on 5G |
| CN112180871A (en) * | 2020-10-13 | 2021-01-05 | 安徽竣阳信息技术有限公司 | Industrial environment control system based on data acquisition |
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