CN108170703A - A kind of data center's three-dimensional humiture map constructing method - Google Patents
A kind of data center's three-dimensional humiture map constructing method Download PDFInfo
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- CN108170703A CN108170703A CN201711163258.3A CN201711163258A CN108170703A CN 108170703 A CN108170703 A CN 108170703A CN 201711163258 A CN201711163258 A CN 201711163258A CN 108170703 A CN108170703 A CN 108170703A
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- humiture
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a kind of data center's three-dimensional humiture map constructing methods, utilize autonomous mobile robot structure data center two-dimensional map, multiple temperature and humidity monitor nodes are preset on map, autonomous mobile robot inspection temperature and humidity monitor node, the humiture of each temperature and humidity monitor node different height is measured using the Temperature Humidity Sensor on autonomous mobile robot lifting gear top, structure includes data center's three-dimensional humiture map including the location information, elevation information and humiture information of temperature and humidity monitor node；The present invention is conducive to the rapidly locating center humiture abnormal position under the premise of data center environment monitoring sensor installation number is reduced, to improving data center's safety, power consumption is reduced, reduces data center's dilatation, reconstruction, influence of the resettlement to environmental monitoring sensor network with positive effect.
Description
Technical field
The present invention relates to data center environment monitoring technology fields, and in particular to a kind of data center's three-dimensional humiture map
Construction method.
Background technology
Data center's temperature and humidity monitor is the important means for ensureing data center's reliability service, improving energy utilization rate.Mesh
Before, data center's temperature and humidity monitor depends on fixed sensor network, and Temperature Humidity Sensor is fixedly mounted on certain of data center
Data center's part temperature and humidity monitor is responsible in one position.But rely on the temperature and humidity monitor method of fixed Sensor monitoring network
Limitation show：(1) layout of the quality monitoring dependent on sensor installation node, node is more, and cost is higher, adds
Requirement of the social progress to data center calculation capacity, storage capacity and network capabilities is higher and higher, and data center is caused to expand
Appearance, reconstruction, resettlement happen occasionally, and need to synchronize transformation or reconstruction to original fixed Sensor monitoring network, cause assets
Loss and resource waste；(2) sensor installation can not realize data center's three dimensions dependent on wall or other supports
Conduct monitoring at all levels, cause the positioning of humiture abnormal position inaccurate, influence effective promotion of data center's O＆M quality.
Invention content
The shortcomings that it is an object of the invention to overcome the prior art and deficiency, a kind of data center's three-dimensional humiture is provided
Figure construction method, this method are conducive to quickly position number under the premise of data center environment monitoring sensor installation number is reduced
According to center humiture abnormal position, to improving data center's safety, power consumption is reduced, data center's dilatation is reduced, reconstructs, removes
Moving the influence to environmental monitoring sensor network has positive effect.
The purpose of the present invention is achieved through the following technical solutions：
A kind of data center's three-dimensional humiture map constructing method, includes the following steps：
Step 1 builds the two-dimensional map of data center；On the two-dimensional map of data center, multiple humiture prisons are preset
Node is controlled, and by using the Temperature Humidity Sensor on lifting gear top being arranged on autonomous mobile robot, is formed warm and humid
Spend virtual-sensor monitoring network；By calculate temperature and humidity monitor node on data center's two-dimensional map location information (x,
Y), with reference to the elevation information (z) of the Temperature Humidity Sensor on autonomous mobile robot lifting gear top, so that it is determined that humiture is empty
Intend the location information (x, y, z) of Sensor monitoring nodes；
And according to temperature and humidity monitor changes in demand situation, make following operation：
(1) increase, the temperature and humidity monitor number of nodes on deletion data center two-dimensional map；
(2) the temperature and humidity monitor node location information (x, y) on change data center two-dimensional map；
(3) elevation information (z) of change humiture virtual-sensor monitoring network node location；
Wherein, the situation of the temperature and humidity monitor changes in demand is included by temperature and humidity monitor quality assessment result or number
Need caused by dilatation, reconstruction or resettlement to adjust according to center humiture virtual-sensor monitoring network node density and
The situation of node location；
It is virtual to measure each humiture using the Temperature Humidity Sensor on autonomous mobile robot lifting gear top for step 2
The humiture of Sensor monitoring network node；On temperature and humidity monitor node, autonomous mobile robot adjustment lifting gear, so as to
The height of Temperature Humidity Sensor is adjusted, and measures the temperature of humiture virtual-sensor monitoring network node space position (x, y, z)
Humidity (t, h)；The humiture interpolation between humiture virtual-sensor monitoring network node is calculated later；
Step 3, fusion humiture virtual-sensor monitoring network node information (x, y, z) and corresponding humiture information
(t, h), generation data center's three dimensions data of the Temperature and Humidity module field；Later by data center's three dimensions data of the Temperature and Humidity module field and temperature
Humiture interpolation between humidity virtual-sensor monitoring network node carries out visualization processing, ultimately produces data center's three-dimensional
Humiture map.
Preferably, in step 1, the two-dimensional map of the structure data center be specifically by autonomous mobile robot or
Laser range sensor structure.
Preferably, in step 2, the meter of the humiture interpolation between the humiture virtual-sensor monitoring network node
For calculation method specifically, first being calculated using linear interpolation method, recycling autonomous mobile robot carries out sampling verification.
Preferably, in step 3, data center's three dimensions data of the Temperature and Humidity module field is supervised with humiture virtual-sensor
The visualization processing of the humiture interpolation between network node is controlled specifically, according to the threshold interval of temperature and humidity monitor, from height to
It is low to be in turn divided into hazardous area, zone of alarm, normal area, energy consumption area, waste five, area rank, and respectively with different colours to being in
The data of different stage carry out coloring treatment.
The present invention has following advantageous effect compared with prior art：
The present invention monitors demand from data center environment, by Temperature Humidity Sensor, the autonomous shifting with lifting gear
Mobile robot is blended with the default temperature and humidity monitor node based on data center's map, structure data center three-dimensional humiture
Figure, it is different to be conducive to the rapidly locating center humiture under the premise of data center environment monitoring sensor installation number is reduced
Normal position to improving data center's safety, reduces power consumption, reduces data center's dilatation, reconstruction, resettlement to environmental monitoring biography
The influence of sensor network has positive effect.
Description of the drawings
Fig. 1 is the flow chart of the present invention；
Fig. 2 is the vertical view of data center of the present invention；
Fig. 3 is the side view of data center of the present invention；
Fig. 4 is the structure diagram of the autonomous mobile robot of the invention with lifting gear.
Reference numeral is in figure：1st, data center；2nd, cabinet；3rd, temperature and humidity monitor node；4th, autonomous mobile robot；5、
Passageway；6th, humiture virtual-sensor monitoring network node；7th, lifting gear；8th, Temperature Humidity Sensor.
Specific embodiment
With reference to embodiment and attached drawing, the present invention is described in further detail, but embodiments of the present invention are unlimited
In this.
As shown in figures 1-4, the invention discloses a kind of data center's three-dimensional humiture map constructing method, using autonomous
Mobile robot 4 builds 1 two-dimensional map of data center, and multiple temperature and humidity monitor nodes 3, autonomous machine are preset on map
4 inspection temperature and humidity monitor node 3 of people, is measured often using the Temperature Humidity Sensor 8 on 4 lifting gear of autonomous mobile robot, 7 top
The humiture of a 3 different height of temperature and humidity monitor node, structure include location information, the elevation information of temperature and humidity monitor node 3
With data center's three-dimensional humiture map including humiture information.As shown in figures 2-3, the data center 1 includes rows of
Passageway 5 and other safety equipments between cabinet 2, cabinet 2；As shown in figure 4, the autonomous mobile robot 4 is having certainly
Outside main locomotivity, also with lifting gear 7 and the Temperature Humidity Sensor 8 for being fixed on 7 top of lifting gear.
First, the two-dimensional map of data center 1 is built, is specifically sensed by autonomous mobile robot 4 or laser ranging
Device structure；On the two-dimensional map of data center 1, default multiple temperature and humidity monitor nodes 3, the temperature and humidity monitor node 3,
It is marked and determined on the passageway 5 of 1 two-dimensional map of data center by engineers and technicians, be the target position of autonomous mobile robot 4；
And by using the Temperature Humidity Sensor 8 on 7 top of lifting gear being arranged on autonomous mobile robot 4, it is empty to form humiture
Intend Sensor monitoring network；
As shown in Fig. 2, according to the actual size of data center 1, temperature and humidity monitor node 3 is calculated in data center two-dimensionally
Location information (x, y) on figure, as shown in figure 3, the Temperature Humidity Sensor 8 with reference to 4 lifting gear of autonomous mobile robot, 7 top
Elevation information (z), so that it is determined that humiture virtual-sensor monitoring nodes location information (x, y, z)；It is specific next
It says, Temperature Humidity Sensor is not fixedly mounted on the position (x, y, z) of the humiture virtual-sensor monitoring network node 6,
But adjusted by the position movement of autonomous mobile robot 4 and the height of lifting gear 7, at a time by lifting gear 7
On Temperature Humidity Sensor 8 be sent to humiture virtual-sensor monitoring network node 6 spatial position (x, y, z), carry out it is warm and humid
Degree measures.It needs to adjust humiture caused by temperature and humidity monitor quality assessment result or data center's dilatation, reconstruction, resettlement
When the density of virtual-sensor monitoring network node 6 and position, engineers and technicians can be increased or be deleted as needed
3 quantity of temperature and humidity monitor node on data center's two-dimensional map changes the temperature and humidity monitor section on data center's two-dimensional map
The operations such as the location information (x, y) of point 3, the elevation information (z) of 6 position of change humiture virtual-sensor monitoring network node.
Secondly, each humiture void is measured using the Temperature Humidity Sensor 8 on 4 lifting gear of autonomous mobile robot, 7 top
Intend the humiture of Sensor monitoring network node 6；On temperature and humidity monitor node 3 (x, y), the adjustment of autonomous mobile robot 4 rises
Falling unit 7 so as to adjust the height (z) of Temperature Humidity Sensor 8, and measures humiture virtual-sensor monitoring network node 6 and exists
The humiture (t, h) of spatial position (x, y, z)；It is warm and humid between calculating humiture virtual-sensor monitoring network node 6 later
Interpolation is spent, specifically, is first calculated using linear interpolation method, autonomous mobile robot 4 is recycled to carry out sampling verification；
Finally, fusion humiture virtual-sensor monitoring 6 information of network node (x, y, z) and corresponding humiture information
(t, h), generation data center's three dimensions data of the Temperature and Humidity module field；Later by data center's three dimensions data of the Temperature and Humidity module field and temperature
Humiture interpolation between humidity virtual-sensor monitoring network node 6 carries out visualization processing, specifically, according to humiture
The threshold interval of monitoring is in turn divided into hazardous area, zone of alarm, normal area, energy consumption area, waste five, area rank from high to low,
And coloring treatment is carried out to the data for being in different stage with different colours respectively；With ultimately producing data center's three-dimensional humiture
Figure.
The present invention monitors demand from data center environment, by Temperature Humidity Sensor, the autonomous shifting with lifting gear
Mobile robot is blended with the default temperature and humidity monitor node based on data center's map, structure data center three-dimensional humiture
Figure, it is different to be conducive to the rapidly locating center humiture under the premise of data center environment monitoring sensor installation number is reduced
Normal position to improving data center's safety, reduces power consumption, reduces data center's dilatation, reconstruction, resettlement to environmental monitoring biography
The influence of sensor network has positive effect.
Above-mentioned is the preferable embodiment of the present invention, but embodiments of the present invention are not limited by the above,
He it is any without departing from the present invention Spirit Essence with made under principle change, modification, replacement, combine, simplification, should be
The substitute mode of effect, is included within protection scope of the present invention.
Claims (4)
1. a kind of data center's three-dimensional humiture map constructing method, which is characterized in that include the following steps：
Step 1 builds the two-dimensional map of data center；On the two-dimensional map of data center, multiple temperature and humidity monitor sections are preset
Point, and by using the Temperature Humidity Sensor on lifting gear top being arranged on autonomous mobile robot, it is empty to form humiture
Intend Sensor monitoring network；By calculating location information (x, y) of the temperature and humidity monitor node on data center's two-dimensional map, tie
The elevation information (z) of the Temperature Humidity Sensor on autonomous mobile robot lifting gear top is closed, so that it is determined that humiture virtually passes
Sensor monitors the location information (x, y, z) of nodes；
And according to temperature and humidity monitor changes in demand situation, make following operation：
(1) increase, the temperature and humidity monitor number of nodes on deletion data center two-dimensional map；
(2) the temperature and humidity monitor node location information (x, y) on change data center two-dimensional map；
(3) elevation information (z) of change humiture virtual-sensor monitoring network node location；
Wherein, the situation of the temperature and humidity monitor changes in demand is included by temperature and humidity monitor quality assessment result or data
The heart needs to adjust humiture virtual-sensor monitoring network node density and node caused by dilatation, reconstruction or resettlement
The situation of position；
Step 2 measures each humiture virtual sensing using the Temperature Humidity Sensor on autonomous mobile robot lifting gear top
Device monitors the humiture of network node；On temperature and humidity monitor node, autonomous mobile robot adjustment lifting gear, so as to adjust
The height of Temperature Humidity Sensor, and measure the humiture of humiture virtual-sensor monitoring network node space position (x, y, z)
(t, h)；The humiture interpolation between humiture virtual-sensor monitoring network node is calculated later；
Step 3, fusion humiture virtual-sensor monitoring network node information (x, y, z) and corresponding humiture information (t,
H), generation data center's three dimensions data of the Temperature and Humidity module field；Later by data center's three dimensions data of the Temperature and Humidity module field with it is warm and humid
The humiture interpolation spent between virtual-sensor monitoring network node carries out visualization processing, ultimately produces the three-dimensional temperature of data center
Humidity map.
2. data center's three-dimensional humiture map constructing method according to claim 1, which is characterized in that in step 1,
The two-dimensional map of the structure data center is specifically to be built by autonomous mobile robot or laser range sensor.
3. data center's three-dimensional humiture map constructing method according to claim 1, which is characterized in that in step 2,
The computational methods of humiture interpolation between the humiture virtual-sensor monitoring network node using linear specifically, first inserted
Value method is calculated, and autonomous mobile robot is recycled to carry out sampling verification.
4. data center's three-dimensional humiture map constructing method according to claim 1, which is characterized in that in step 3,
Humiture between data center's three dimensions data of the Temperature and Humidity module field and humiture virtual-sensor monitoring network node is inserted
The visualization processing of value is in turn divided into hazardous area, alarm from high to low specifically, according to the threshold interval of temperature and humidity monitor
Area, normal area, energy consumption area, waste five, area rank, and the data for being in different stage are coloured with different colours respectively
Processing.
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| CN109460019A (en) * | 2018-10-31 | 2019-03-12 | 仲恺农业工程学院 | The construction method of time sequence spacing data fields in facilities vegetable growing environment |
| CN111930866A (en) * | 2020-07-31 | 2020-11-13 | 中国科学院地理科学与资源研究所 | Grid-based layered heat early warning real-time publishing and displaying method, system and equipment |
| CN113496082A (en) * | 2020-04-08 | 2021-10-12 | 巴鲁夫公司 | Method and system for determining at least one physical value |
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Application publication date: 20180615 |