CN106502865A - Power consumption dynamic trend analysis method and device based on frequent Sensor monitoring - Google Patents
Power consumption dynamic trend analysis method and device based on frequent Sensor monitoring Download PDFInfo
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- CN106502865A CN106502865A CN201610949393.XA CN201610949393A CN106502865A CN 106502865 A CN106502865 A CN 106502865A CN 201610949393 A CN201610949393 A CN 201610949393A CN 106502865 A CN106502865 A CN 106502865A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
- G06F11/3062—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations where the monitored property is the power consumption
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
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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
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Abstract
A kind of power consumption dynamic trend analysis method based on frequent Sensor monitoring provided by the present invention, is included in preset period of time, receives the batch power consumption data with timestamp that frequent power consumption sensor sends according to prefixed time interval；Analyze the power consumption dynamic trend of the whole described batch power consumption data in the preset period of time；The method is by receiving the batch power consumption data that frequent power consumption sensor sends according to prefixed time interval, due to the characteristics of frequent power consumption sensor acquisition interval is short, sample frequency is high, so that the data for receiving are more specific and comprehensive, can realize that partial data is covered, ensure that the accuracy and validity of the result of data analysis, the demand of the server energy consumption monitoring at large-scale data center is met, is conducive to the development at large-scale data center.Present invention also offers a kind of power consumption dynamic trend analytical equipment based on frequent Sensor monitoring, equally has above-mentioned beneficial effect.
Description
Technical field
The present invention relates to power consumption monitoring field, more particularly to a kind of power consumption dynamic trend based on frequent Sensor monitoring
Analysis method and device.
Technical background
With the development of modern society's science and technology, internet is more and more important for the life of people so that the prison of sensor
Control is more and more applied in the monitoring of data center.Send out as large-scale data center increasingly becomes modern society
The needs of exhibition, this just bring huge challenge, a number for having thousand of servers for the server energy consumption monitoring of data center
Power consumption monitoring difficulty according to center is very big, hundreds of thousands platform server under still more current development trend, even millions of
The data center of platform server progressively produces.
In prior art, traditional server energy consumption trend analysis is as shown in figure 1, due to traditional Sensor monitoring presence
Frequency is low for collection, acquisition interval overlong time the problems such as, it is impossible to ensure in server running change of power consumption complete, can
By monitoring.For example, for the power consumption monitoring of a data center with 100,000 servers, using traditional Sensor monitoring
Mode cannot meet the demand of user.
As traditional Sensor monitoring cannot be realized, to the full-time of server energy consumption, complete procedure monitoring, often making
It is missed into some material time points, some crucial peak values or valley power consumption data, and other invalid instantaneous peak values or wink
When valley be instead monitored the problem recorded.And cannot obtain power consumption data in real time, the minimum delay also 1 minute with
On, monitor the server energy consumption of whole data center and cannot be really achieved optimal effect, so that server energy consumption
The result of trend analysis is inaccurate, is worth and has a greatly reduced quality.Server work(of the above variety of problems for large-scale data center
Consumption monitoring brings great limitation, has had a strong impact on the development at large-scale data center.
Content of the invention
Embodiment of the present invention technical problem to be solved is to provide a kind of power consumption based on frequent Sensor monitoring and moves
State trend analysis and device, to meet server energy consumption dynamic trend precision of analysis.
For solving above-mentioned technical problem, the invention provides a kind of power consumption dynamic trend based on frequent Sensor monitoring
Analysis method, the method include：
In preset period of time, the criticizing with timestamp that frequent power consumption sensor sends is received according to prefixed time interval
Amount power consumption data；
Analyze the power consumption dynamic trend of the whole described batch power consumption data in the preset period of time.
Optionally, the batch power consumption data with timestamp for receiving the transmission of frequent power consumption sensor, specially：
Judge whether to receive the batch power consumption data with timestamp；
If it is, keeping connection, future time is waited to receive；
If not, receiving again.
Optionally, the power consumption dynamic trend of the batch power consumption data in the preset period of time is analyzed, specially：
The batch power consumption data is compressed into final power consumption data；
Time power consumption trend curve is generated according to the whole described final power consumption data in the preset period of time.
Optionally, the generation time power consumption trend curve, also includes：
The time power consumption trend curve acceptance of the bid cite sb. for meritorious service consumption maximum, minimum of a value and mean value at least one.
Additionally, present invention also offers a kind of power consumption dynamic trend analytical equipment based on frequent Sensor monitoring, is somebody's turn to do
Device includes：
Frequent power consumption sensor, for gathering power consumption data, and in preset period of time according to prefixed time interval in batches
Sending power consumption data；
Distributed socket receiver modules, for receiving the batch power consumption data with timestamp；
Analysis module, for analyzing the power consumption dynamic trend of the whole described batch power consumption data in the preset period of time.
Optionally, the distributed socket receiver modules be with the quantity of the frequent power consumption sensor multiple,
Each described distributed socket receiver module and corresponding one or more frequent power consumption sensor communications.
Optionally, the analysis module, including：
Power consumption data analysis module, for being compressed into final power consumption data by the batch power consumption data；
Power consumption dynamic trend analysis module, for generating according to the whole described final power consumption data in the preset period of time
Time power consumption trend curve.
Optionally, the power consumption dynamic trend analysis module, also includes:
Mark module, for citing sb. for meritorious service the maximum of consumption, minimum of a value and average in time power consumption trend curve acceptance of the bid
In value at least one.
A kind of power consumption dynamic trend analysis method based on frequent Sensor monitoring provided by the present invention, is included in pre-
If in the period, receiving the batch power consumption data with timestamp that frequent power consumption sensor sends according to prefixed time interval；
Analyze the power consumption dynamic trend of the whole described batch power consumption data in the preset period of time；
It can be seen that, the present invention is by receiving the batch power consumption figure that frequent power consumption sensor sends according to prefixed time interval
According to due to the characteristics of frequent power consumption sensor acquisition interval is short, sample frequency is high so that the data of reception have more comprehensively
Body, it is possible to achieve partial data is covered, it is ensured that the accuracy and validity of the result of data analysis, meets large-scale data
The demand of the server energy consumption monitoring at center, is conducive to the development at large-scale data center.Present invention also offers one kind is based on
The power consumption dynamic trend analytical equipment of frequent Sensor monitoring, equally has above-mentioned beneficial effect.
Description of the drawings
For the technical scheme being illustrated more clearly that in the embodiment of the present application, below will be to making needed for embodiment description
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present application, for
For those of ordinary skill in the art, without having to pay creative labor, can be obtaining which according to these accompanying drawings
His accompanying drawing.
Fig. 1 is traditional server energy consumption trend analysis principle schematic；
Fig. 2 is a kind of power consumption dynamic trend analysis method based on frequent Sensor monitoring provided in an embodiment of the present invention
Flow chart；
Fig. 3 is a kind of power consumption dynamic trend analysis method based on frequent Sensor monitoring provided in an embodiment of the present invention
High frequency power consumption sensor connection diagram；
Fig. 4 is another kind of power consumption dynamic trend analysis side based on frequent Sensor monitoring provided in an embodiment of the present invention
The flow chart of method；
Fig. 5 is another kind of power consumption dynamic trend analysis side based on frequent Sensor monitoring provided in an embodiment of the present invention
The flow chart of method；
Fig. 6 is a kind of power consumption dynamic trend analytical equipment based on frequent Sensor monitoring provided in an embodiment of the present invention
Structure chart；
Fig. 7 is another kind of power consumption dynamic trend analysis dress based on frequent Sensor monitoring provided in an embodiment of the present invention
The structure chart that puts.
Fig. 8 is another kind of power consumption dynamic trend analysis dress based on frequent Sensor monitoring provided in an embodiment of the present invention
Put principle schematic；
Fig. 9 is another kind of power consumption dynamic trend analysis dress based on frequent Sensor monitoring provided in an embodiment of the present invention
The power consumption data analysis module schematic diagram that puts.
Specific embodiment
Accompanying drawing in below in conjunction with the embodiment of the present application, to the embodiment of the present application in technical scheme carry out clear, complete
Site preparation is described, it is clear that described embodiment is only some embodiments of the present application, rather than whole embodiments.It is based on
Embodiment in the application, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of the application protection.
Fig. 2 is refer to, Fig. 2 is that a kind of power consumption dynamic based on frequent Sensor monitoring provided in an embodiment of the present invention becomes
The flow chart of method of potential analysis.The method can include：
Step 201：In preset period of time, band that frequent power consumption sensor sends is received sometimes according to prefixed time interval
Between stab batch power consumption data.
Wherein, preset period of time can be the period for needing to carry out power consumption dynamic trend analysis.For example, if necessary to service
The device operation period carries out power consumption dynamic trend analysis, then when server can be set to default from start to the period of shutdown
Section；If necessary to carry out power consumption dynamic trend analysis to the peak period of such as 11 points to 13 points of special time in server operation,
So 11 points to 13 points of period can be set to preset period of time.Prefixed time interval can be that frequent power consumption sensor is set
Fixed transmission time interval.Batch power consumption data with timestamp can be frequent power consumption sensor in prefixed time interval
Whole power consumption datas with frequent power consumption sensor acquisition time of collection.
Wherein, the batch power consumption data with timestamp that frequent power consumption sensor sends is received, response can be included
The establishment of connection request that frequent power consumption sensor sends, that is, be connected with the foundation of frequent power consumption sensor.Due to
The situation that connection there may be connection establishment failure set up by frequent power consumption sensor, so response frequent power consumption sensor is sent out
The establishment of connection request that send can also include：Judge whether connection is created as by return signal to frequent power consumption sensor
Work(；If it is not, then re-establishing connection；If it is, continuing following step.
It should be noted that the batch power consumption data with timestamp for receiving the transmission of frequent power consumption sensor can be straight
Reception batch data, but due to there is the situation that batch data may not received, can be with：Judge whether to receive and carry
The batch power consumption data of timestamp；If it is, keeping connection, future time is waited to receive；If not, receiving again.Wherein, under
One time can be the time of following time interval.
It is understood that judging whether that the batch power consumption data received with timestamp is for guaranteeing to receive
With timestamp batch power consumption data, although by this judgement can also judge with the connection to frequent power consumption sensor be
No success, but be not the main purpose of this judgement.
Further, as a example by shown in Fig. 3, can be asked with the establishment of connection that frequent power consumption sensor sends, be passed through
The signal that distributed socket is returned judges whether connection is successfully established；If it is not, then re-establishing connection；If it is, high
Frequency power consumption sensor gathers a performance data per 10ms, and presses 100 power consumption datas of 1s time intervals Batch sending, judges
Whether send successfully；Such as say no, then resend；If it is, waiting send for next second.Wherein, judge that frequent power consumption is passed
Whether sensor sends successfully, that is, judges distributed socket whether successful data receptions.
It should be noted that distributed socket can be used to receive the lot number that frequent power consumption sensor is actively submitted to
According to.Wherein, the quantity of distributed socket and frequent power consumption sensor can be one or more, and each is distributed
Socket can set up connection with corresponding one or more frequent power consumption sensors.For example, 3 can be used in this method
Distributed socket, distributed socket can correspond to 3 frequent power consumption sensors, then the frequent power consumption sensing of needs
Device number is 9.
To this step for example, frequent power consumption sensor can gather a performance data with every 10ms, and will send
Time interval is set as 1s, then frequent power consumption sensor will per 1s by the connection that sets up with corresponding distributed socket
Send 100 power consumption datas with acquisition time.That is, distributed socket receives each high frequency corresponding per 1s
100 power consumption datas with acquisition time that degree power consumption sensor sends.
Step 202：Analyze the power consumption dynamic trend of the whole described batch power consumption data in the preset period of time.
Wherein, the power consumption dynamic trend of the whole batch power consumption datas in analysis preset period of time, can be by all batch work(
The power consumption dynamic trend of consumption data is graphically presented, it is easy to which user checks.Further, can generate will be complete
The power consumption dynamic trend of portion's batch power consumption data presents to user in the form of generating time power consumption trend curve so that analysis
As a result more vivid concrete, user checks convenient.
It should be noted that data in due to batch data more numerous and diverse batch data can be compressed into more accurate
Effectively final power consumption data, thereby may be ensured that the accuracy of generation time power consumption trend curve.Certainly, this step is
Preferred steps, do not carry out this step and batch data are generated time power consumption trend curve as final power consumption data directly,
The purpose of the embodiment of the present invention can be reached, this enforcement is unrestricted to this.
That is, the power consumption dynamic trend of the whole batch power consumption datas in analysis preset period of time is specifically as follows will criticize
Amount power consumption data is compressed into final power consumption data；Time power consumption is generated according to the whole final power consumption data in preset period of time to become
Power curve.
Wherein, the compression method that batch power consumption data is compressed into final power consumption data is had a lot, such as using mean value, is added
The methods such as weight average value, median, mode.The each have their own pluses and minuses of these methods, can be in being embodied as according to lot number
According to situation use more favourable compression method, this enforcement is unrestricted to this.
Preferably, final power consumption data can be stored to time series databases, further according to time series data
Whole final power consumption data in the preset period of time stored in storehouse generates time power consumption trend curve.
It is understood that by storing final power consumption data to time series databases, when can make generation
Between time of power consumption trend curve be no longer limited as in real time generation.According to the preset period of time stored in time series databases
Interior whole final power consumption data both can generate time power consumption trend curve in real time, it is also possible to regenerate when user needs
Time power consumption trend curve, the use demand of the user that more fits.
Preferably, for time power consumption trend curve is generated, as its curve quantity may be too many, user is caused to be difficult
Check, at least one in maximum, minimum of a value and the mean value of power consumption can also be marked.The content of mark can be according to user's
Demand is selected, it is possible to use family result more directly perceived and comprehensively understanding data analysis.
It should be noted that by final power consumption data store to time series databases and mark power consumption maximum,
In minimum of a value and mean value, at least one the two preferred version, individually can use, it is also possible in one embodiment
Simultaneously using the two preferred versions, the demand of user can be further met.
In the present embodiment, by receiving the batch power consumption figure that frequent power consumption sensor sends according to prefixed time interval
According to carrying a little as frequent power consumption sensor acquisition interval is short, sample frequency is high so that the data of reception have more comprehensively
Body, it is possible to achieve partial data is covered, it is ensured that the accuracy and validity of the result of data analysis.
Fig. 4 is refer to, Fig. 4 is another kind of power consumption dynamic based on frequent Sensor monitoring provided in an embodiment of the present invention
The flow chart of trend analysis.The method can include：
Step 401：In preset period of time, band that frequent power consumption sensor sends is received sometimes according to prefixed time interval
Between stab batch power consumption data.
In being embodied as, step 401 is similar with step 201, will not be described here.
Step 402：The batch power consumption data is compressed into final power consumption data.
Wherein, batch power consumption data is compressed into the method that final power consumption data can use mean value, is specifically as follows
The maximum and minimum of a value in batch power consumption data is taken, the maximum that gets and minimum of a value is removed, to remaining power consumption data
The calculating of mean value is carried out, the mean value for calculating is used as final power consumption data.
It should be noted that using the method compression batch power consumption data of mean value, a kind of simply compression method can be with
Using the method for mode, the most power consumption data of occurrence number in batch power consumption data is selected such as, as final power consumption data.And
And maximum and minimum of a value in batch data in this enforcement, is first removed, then remaining power consumption data is averaged, this take
The method of mean value is the accuracy and effectively for being further ensured that final power consumption data in order to remove two invalid power consumption datas
Property.Directly batch data can also be averaged, or remove one in maximum and minimum of a value or such as second largest value and time little
After more ineffective power consumption data such as value, remaining power consumption data is averaged.This enforcement is unrestricted to this.
In being embodied as, 100 power consumption datas of distributed socket receptions per 1s are first taken in 100 power consumption datas
Maximum and minimum of a value, after maximum and minimum of a value are removed, mean value calculation is carried out to remaining 98 power consumption datas, will
The mean value for calculating is used as final power consumption data.
Step 403：Time power consumption trend is generated according to the whole described final power consumption data in the preset period of time bent
Line.
Wherein, maximum, minimum of a value and the mean value that time power consumption trend curve can also mark power consumption is generated.
It should be noted that the time power consumption trend curve generated in this enforcement has marked the maximum, most of power consumption
Little value and mean value, are so easier to checking for user, more conform to the use demand of user.Certainly, power consumption is not marked most
Big value, minimum of a value and mean value mark therein one or two and can also reach the present embodiment purpose, this enforcement to this not
It is restricted.
In the present embodiment, by batch power consumption data is compressed into final power consumption data, it is ensured that the power consumption data of analysis
More accurate and effective so that the accuracy and validity of the time power consumption trend curve for ultimately generating is improved, while
By marking the maximum of power consumption, minimum of a value and mean value in time power consumption trend curve, it is easier to which user checks, more
Meet the use demand of user.
Fig. 5 is refer to, Fig. 5 is another kind of power consumption dynamic based on frequent Sensor monitoring provided in an embodiment of the present invention
The flow chart of trend analysis.The method can include：
Step 501：In preset period of time, band that frequent power consumption sensor sends is received sometimes according to prefixed time interval
Between stab batch power consumption data.
Step 502：The batch power consumption data is compressed into final power consumption data.
In being embodied as, step 501 and step 502 are similar to step 401 and step 402, will not be described here.
Step 503：Store the final power consumption data.
In being embodied as, the final power consumption data can be stored to time series databases.
It is understood that by storing the final power consumption data, can make next to generate time power consumption trend
The time of curve is no longer limited as generation in real time.
Step 504：According to whole described final in the preset period of time stored in the time series databases
Power consumption data generates time power consumption trend curve.
Wherein, the generation time power consumption trend curve can also mark maximum, minimum of a value and the mean value of power consumption.
The time of the generation time power consumption trend curve can be set according to the demand of user.For example：Can generate in real time,
Can regenerate the time power consumption trend curve when user needs to check.
In the present embodiment, by the final power consumption data is stored to time series databases so that during generation
Between time of power consumption trend curve be no longer limited as in real time generation, can freely generating according to user's request, more conform to
The use demand of user.
Fig. 6 is refer to, Fig. 6 is that a kind of power consumption dynamic based on frequent Sensor monitoring provided in an embodiment of the present invention becomes
The structure chart of potential analysis device.The device can include：
Frequent power consumption sensor 100, for gathering power consumption data, and according to prefixed time interval point in preset period of time
Wholesale send power consumption data.
Distributed socket receiver modules 200, for receiving the batch power consumption data with timestamp.
Analysis module 300, becomes for analyzing the power consumption dynamic of the whole described batch power consumption data in the preset period of time
Gesture.
Optionally, the distributed socket receiver modules 200 are with the quantity of the frequent power consumption sensor 100
Multiple, each described distributed socket receiver module 200 and corresponding one or more frequent power consumption sensors 100
Communication.
Optionally, the analysis module 300, can include：
Power consumption data analysis module, for being compressed into final power consumption data by the batch power consumption data；
Power consumption dynamic trend analysis module, for generating according to the whole described final power consumption data in the preset period of time
Time power consumption trend curve.
Optionally, the analysis module 300, can include：
Power consumption data analysis module, for being compressed into final power consumption data by the batch power consumption data；
Time series databases, for storing the final power consumption data.
Power consumption dynamic trend analysis module, for according to the whole described final power consumption in the time series databases
Data genaration time power consumption trend curve.
Optionally, the power consumption dynamic trend analysis module, can also include:
Mark module, for generation time power consumption trend curve acceptance of the bid cite sb. for meritorious service the maximum of consumption, minimum of a value and
In mean value at least one.
The present invention gathers power consumption data by frequent power consumption sensor 100, as 100 collection adopted by frequent power consumption sensor
Short, sample frequency is high carries a little at interval so that the data of reception are more specific and comprehensive, it is possible to achieve partial data is covered, it is ensured that
The accuracy of the result of data analysis and validity.
Refer to Fig. 7 and Fig. 8, Fig. 7 is another kind of work(based on frequent Sensor monitoring provided in an embodiment of the present invention
The structure chart of consumption dynamic trend analytical equipment, Fig. 8 are provided in an embodiment of the present invention another kind of based on frequent Sensor monitoring
Power consumption dynamic trend analytical equipment principle schematic.The device can include：
Frequent power consumption sensor 100, for gathering power consumption data, and according to prefixed time interval point in preset period of time
Wholesale send power consumption data.
Distributed socket receiver modules 200, for receiving the batch power consumption data with timestamp.
Power consumption data analysis module 310, for being compressed into final power consumption data by the batch power consumption data；
Time series databases 320, for storing the final power consumption data.
Power consumption dynamic trend analysis module 330, for according to whole described final in the time series databases
Power consumption data generates time power consumption trend curve.
Wherein, the power consumption dynamic trend analysis module 330, can also include:
Mark module, for generation time power consumption trend curve acceptance of the bid cite sb. for meritorious service the maximum of consumption, minimum of a value and
Mean value.
In being embodied as, the flow process of the power consumption data analysis module 310 can be as shown in Figure 9：Receive distributed
After the batch data that socket sends, the maximum and minimum of a value in batch power consumption data is taken, by the maximum that gets and minimum
Value is removed, and the calculating for carrying out mean value to remaining power consumption data, the mean value for calculating are sent to as final power consumption data
Time series databases 320.
In the present embodiment, the final power consumption data is stored by using time series databases 320 so that during generation
Between time of power consumption trend curve be no longer limited as in real time generation, can freely generating according to user's request, more conform to
The use demand of user.
It should be noted that the embodiment in this specification is described by the way of going forward one by one, each embodiment emphasis is said
Bright is all the difference with other embodiment, between each embodiment identical similar part mutually referring to.For
For device class embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, related part is referring to side
The part explanation of method embodiment.
Above to the power consumption dynamic trend analysis method based on frequent Sensor monitoring provided herein and device
It is described in detail, specific embodiment used herein is set forth to the principle of the application and embodiment, above
The explanation of embodiment is only intended to help and understands the present processes and its core concept；General skill simultaneously for this area
Art personnel, according to the thought of the application, will change in specific embodiments and applications, in sum, this
Description should not be construed as the restriction to the application.
Claims (9)
1. a kind of power consumption dynamic trend analysis method based on frequent Sensor monitoring, it is characterised in that include：
In preset period of time, the batch work(with timestamp that frequent power consumption sensor sends is received according to prefixed time interval
Consumption data；
Analyze the power consumption dynamic trend of the whole described batch power consumption data in the preset period of time.
2. power consumption dynamic trend analysis method according to claim 1, it is characterised in that the reception frequent power consumption is passed
The batch power consumption data with timestamp that sensor sends, specially：
Judge whether to receive the batch power consumption data with timestamp；
If it is, keeping connection, future time is waited to receive；
If not, receiving again.
3. power consumption dynamic trend analysis method according to claim 1, it is characterised in that in the analysis preset period of time
The power consumption dynamic trend of the batch power consumption data, specially：
The batch power consumption data is compressed into final power consumption data；
Time power consumption trend curve is generated according to the whole described final power consumption data in the preset period of time.
4. power consumption dynamic trend analysis method according to claim 3, it is characterised in that by the batch power consumption data pressure
Shorten final power consumption data into, specially：
The maximum and minimum of a value in the batch power consumption data is taken, the maximum that gets and minimum of a value is removed, to remaining
Power consumption data carries out the calculating of mean value, and the mean value for calculating is used as the final power consumption data.
5. power consumption dynamic trend analysis method according to claim 3, it is characterised in that the generation time power consumption becomes
Power curve, also includes：
The time power consumption trend curve acceptance of the bid cite sb. for meritorious service consumption maximum, minimum of a value and mean value at least one.
6. a kind of power consumption dynamic trend analytical equipment based on frequent Sensor monitoring, it is characterised in that include：
Frequent power consumption sensor, for gathering power consumption data, and is sent according to prefixed time interval in preset period of time in batches
Power consumption data；
Distributed socket receiver modules, for receiving the batch power consumption data with timestamp；
Analysis module, for analyzing the power consumption dynamic trend of the whole described batch power consumption data in the preset period of time.
7. power consumption dynamic trend analytical equipment according to claim 6, it is characterised in that the distributed socket is received
Module be with the quantity of the frequent power consumption sensor multiple, each described distributed socket receiver module with corresponding
One or more frequent power consumption sensor communications.
8. power consumption dynamic trend analytical equipment according to claim 6, it is characterised in that the analysis module, including：
Power consumption data analysis module, for being compressed into final power consumption data by the batch power consumption data；
Power consumption dynamic trend analysis module, during for generating according to the whole described final power consumption data in the preset period of time
Between power consumption trend curve.
9. power consumption dynamic trend analytical equipment according to claim 8, it is characterised in that the power consumption dynamic trend analysis
Module, also includes:
Mark module, in maximum, minimum of a value and the mean value that consumption is cited sb. for meritorious service in time power consumption trend curve acceptance of the bid
At least one.
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| CN107478934A (en) * | 2017-08-23 | 2017-12-15 | 深圳企管加企业服务有限公司 | Calculator room equipment power consumption monitoring system based on Internet of Things |
| CN107608850A (en) * | 2017-08-23 | 2018-01-19 | 深圳企管加企业服务有限公司 | Calculator room equipment power consumption monitoring method, device and storage medium based on Internet of Things |
| CN108009048A (en) * | 2017-11-27 | 2018-05-08 | 上海上实龙创智慧能源科技股份有限公司 | A kind of method for repairing and mending of industrial energy consumption monitoring platform data |
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