CN108449765A - The energy-saving monitoring method of automatic adjusument - Google Patents
The energy-saving monitoring method of automatic adjusument Download PDFInfo
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- CN108449765A CN108449765A CN201810259878.5A CN201810259878A CN108449765A CN 108449765 A CN108449765 A CN 108449765A CN 201810259878 A CN201810259878 A CN 201810259878A CN 108449765 A CN108449765 A CN 108449765A
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- collection period
- data
- period
- energy
- automatic adjusument
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
-
- 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
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The present invention provides a kind of energy-saving monitoring method of automatic adjusument, including：First order Energy Saving Strategy：Collection period is a section, referred to as collection period window；Predict next gathered data with automatic adjusument collection period according to existing monitoring data, when the next gathered data of prediction is without departing from warning value, then slightly increase next collection period, when predicting next gathered data beyond warning value, then substantially reduce next collection period, i.e., the amplitude change rate for substantially reducing next collection period is greater than the amplitude change rate for slightly increasing next collection period；Collection period after adjustment need to be in collection period window, if with collection period window upper and lower limits being collection period next time beyond if.Second level Energy Saving Strategy, i.e. data upload the adaptive adjustment in period.The present invention achievees the purpose that extend monitoring device usage time by automatic adjusument collection period with the period is uploaded.
Description
Technical field
The present invention relates to Internet of Things to monitor field, the energy-saving monitoring method of especially a kind of automatic adjusument.
Background technology
In recent years, internet of things equipment is towards small and exquisite portable trend development.Limited volume causes object with control cost
The battery capacity of networked devices is generally smaller.Under limited electricity, the usage time of long extension equipment as far as possible becomes
Technology of Internet of things development has to the major issue solved.Due to the limitation of cost and technology, found on hardware break through compared with
For difficulty.Therefore, it can be studied in Energy Saving Strategy, in the case where ensureing to monitor business demand, be extended as far as possible
The usage time of equipment.
In existing monitoring system of internet of things, monitoring device can be acquired with a fixed period and upload the number detected
According to reach the continuous monitoring to a certain attribute.
In this kind of monitoring system, in order to extend the usage time of monitoring device, often improves collection period and upload
Period.Some problems are thus brought, since monitoring device acquisition interval becomes larger and lead to omit some it is desirable that can supervise
The abnormal data measured, or cause abnormal data not to be reported to server in time due to uploading excessive cycle.
Invention content
It is an object of the present invention to overcome the shortcomings of the prior art and provide a kind of energy-saving monitorings of automatic adjusument
Method can pass through automatic adjusument collection period and upload using this method in the case where not changing monitoring device hardware
Period achievees the purpose that extend monitoring device usage time.The technical solution adopted by the present invention is：
The function of Internet of Things monitoring device is broadly divided into data acquisition and is uploaded with data, and data acquisition is obtained by sensor
It takes the data to be monitored and preserves to equipment local, data upload is that the data of acquisition are sent to service by network connection
Device.Because generally using low-power consumption sensor and data acquisition time being shorter, the power consumption of data acquisition is smaller.And in data
Biography is time-consuming longer by network condition limiting uploading, and power consumption of communication module is also higher than sensor assembly, so data upload power consumption
It is larger.Based on this reason, data are acquired and are separated with data upload by the present invention, and it is energy saving to adjust strategy progress using two-stage
Optimization.
First order Energy Saving Strategy first, i.e. the adaptive adjustment of data collection cycle.In Internet of Things monitoring application, prison
The data of survey are the processes of a consecutive variations, therefore can predict the value acquired next time by the data point acquired.
Usually focus more on be more than warning line exceptional value details, so data monitoring normally with exception when
It is unscientific using same collection period.Collection period is too long to cause abnormal data incomplete recording, collection period too short
It can lead to normal data redundancy again and increase power consumption.
Based on these, the present invention proposes, according to having the next gathered data of monitoring data prediction, to carry out automatic adjusument acquisition
Period；
Wherein, collection period is no longer a fixed value, but a section, referred to as collection period window；System meeting
It is adaptively adjusted when collecting device acquires and upload data next time in collection period window；
When the next gathered data of prediction is without departing from warning value, then slightly increase next collection period, when predicting down
When secondary gathered data exceeds warning value, then substantially reduce next collection period, i.e., the amplitude for substantially reducing next collection period becomes
Rate is greater than the amplitude change rate for slightly increasing next collection period；
Collection period after adjustment need to be in collection period window, if being with collection period window upper and lower limits beyond if
Collection period next time；
Followed by second level Energy Saving Strategy, i.e. data upload the adaptive adjustment in period.Data upload period acquiescence and use
One value for being much larger than collection period, for example upload 8~30 times that period acquiescence is collection period；When gathered data is less than police
When ring value, the data for uploading and being acquired in the upload period are fixed with the upload period, when collecting the data beyond warning value,
Direct trigger data uploads, and ensures reporting in time for abnormal data with this.
The advantage of the invention is that：
1) without changing monitoring device hardware, the usage time of equipment can effectively be extended.
2) method complexity is low, can be achieved at monitoring device end.
3) it can guarantee the acquisition density of abnormal data, reduce normal data acquisition redundancy.
4) it can guarantee reporting in time for abnormal data.
Description of the drawings
Fig. 1 is that the quadratic polynomial Trendline of the present invention predicts schematic diagram.
Fig. 2 is the collection period adjustable strategies schematic diagram of the present invention.
Fig. 3 is the data acquisition flow figure of the present invention.
Fig. 4 is that the data of the present invention upload flow chart.
Specific implementation mode
With reference to specific drawings and examples, the invention will be further described.
Parameter specifically used first is as follows：
Collection period window is [Tmin,Tmax]；
Guard against data interval S；
All kinds of algorithms may be selected to the prediction algorithm of next gathered data in the present invention, this, which is sentenced, relatively simple effectively becomes
Illustrate for gesture line prediction technique (shown in Fig. 1), constraint is not constituted to the present invention；
In Fig. 1, prediction the specific steps are：Take the three groups of data acquired recently, 1 point, 3 points and 5 points of data in corresponding diagram 1
Point；Use quadratic polynomial y=ax2+ bx+c is fitted, and the value of three data points, which is substituted into quadratic polynomial, finds out function table
Up to formula；The expression formula found out in this is y=0.875x2- 2.5x+24.625, can will next time according to this function expression
The time to be acquired finds out value of the functional value as Prediction and Acquisition data as independent variable.
The method of adjustment of next collection period can be selected flexibly in the present invention, use for reference sliding window in network herein
The mode (as shown in Figure 2) of " addition increases, and multiplication reduces ", does not constitute constraint to the present invention；
In Fig. 2, as unit of minute, collection period window is set as [2,8] collection period.It is pre- at the 1st time to the 7th time
Gathered data is surveyed without departing from warning value, adds 1 chronomere to obtain for (1 minute) so next collection period is this collection period
It arrives.It when increasing to collection period window upper limit, then using window upper limit as the period, does not continue to increase, the 8th time in corresponding diagram
With the 9th collection point.After being acquired at the 9th time, predict that the 10th gathered data will exceed warning value, so the 10th time is adopted
The collection period is set as the 1/2 of the 9th collection period.Predict that the 11st gathered data can also exceed warning value, the 11st acquisition
Period becomes the 1/2 of the 10th time.When dropping to the lower limit of collection period window, then using lower window edge as the period, do not continue to
Reduce, the 12nd collection point in corresponding diagram 2.
Fig. 3 show the step flow chart that monitoring device once wakes up and acquires.After device sleeps wake up, that is, start one
Secondary data acquisition flow.After the acquisition of this data, using the method for Fig. 1 to the prediction of next gathered data, predicted
Value
IfIllustrate that the data for predicting acquisition next time without departing from warning value, then increase next collection period；Otherwise it needs
Reduce next collection period.Increasing or reducing for collection period is adjusted according to Fig. 2, method shown in Fig. 3.After adjustment
Sleep time of the collection period as monitoring device, i.e., wake-up device carries out the data acquisition of next time after collection period duration.
It is the adaptive adjustment process to collection period above, the tune in data upload period will be carried out after the completion of data acquisition
It is whole, it is specific as shown in Figure 4.
By taking the acquiescence upload period is 2 hours as an example.If this uploads the data acquired in the period and is not above warning value,
Whether the time uploaded apart from last time data is judged more than 2 hours, and if uploading data more than if, number is not uploaded if being less than
According to；If the data of this acquisition are more than warning value, data are uploaded immediately.
It should be noted last that the above specific implementation mode is merely illustrative of the technical solution of the present invention and unrestricted,
Although being described the invention in detail with reference to example, it will be understood by those of ordinary skill in the art that, it can be to the present invention
Technical solution be modified or replaced equivalently, without departing from the spirit of the technical scheme of the invention and range, should all cover
In the scope of the claims of the present invention.
Claims (7)
1. a kind of energy-saving monitoring method of automatic adjusument, which is characterized in that including：
First order Energy Saving Strategy：Collection period is a section, referred to as collection period window；
Predict next gathered data according to existing monitoring data with automatic adjusument collection period, when the next gathered data of prediction not
When can exceed warning value, then slightly increase next collection period, when predicting next gathered data beyond warning value, then substantially
The next collection period of reduction, i.e., the amplitude change rate for substantially reducing next collection period are greater than the next collection period of slightly increase
Amplitude change rate；
Collection period after adjustment need to be in collection period window, if with collection period window upper and lower limits being next beyond if
Secondary collection period.
2. the energy-saving monitoring method of automatic adjusument as described in claim 1, which is characterized in that further include：
Second level Energy Saving Strategy：Data upload the value that period acquiescence is much larger than collection period using one, when gathered data does not surpass
It when crossing warning value, is fixed with the upload period and uploads the data that acquire in the upload period, when collecting the number beyond warning value
According to when, direct trigger data uploads.
3. the energy-saving monitoring method of automatic adjusument as described in claim 1, which is characterized in that
Upload 8~30 times that period acquiescence is collection period.
4. the energy-saving monitoring method of automatic adjusument as described in claim 1, which is characterized in that
The next gathered data of prediction uses Trendline prediction technique.
5. the energy-saving monitoring method of automatic adjusument as described in claim 1, which is characterized in that
Trendline prediction technique includes：
The three groups of data acquired recently are taken, are fitted using quadratic polynomial, the value of three data points are substituted into secondary multinomial
Formula finds out function expression；According to this function expression using the time to be acquired next time as independent variable find out functional value as
The value of Prediction and Acquisition data.
6. the energy-saving monitoring method of automatic adjusument as described in claim 1, which is characterized in that
When the next gathered data of prediction is without departing from warning value, next collection period is that this collection period adds 1 chronomere；
When the next gathered data of prediction exceeds warning value, next collection period is the 1/n of this collection period；N is oneself more than 1
So number.
7. the energy-saving monitoring method of automatic adjusument as claimed in claim 6, which is characterized in that
n=2。
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| CN201810259878.5A CN108449765A (en) | 2018-03-27 | 2018-03-27 | The energy-saving monitoring method of automatic adjusument |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110247816A (en) * | 2019-05-13 | 2019-09-17 | 中国联合网络通信集团有限公司 | Index monitoring method and device |
| CN111970654A (en) * | 2020-07-08 | 2020-11-20 | 成都慧简联信息科技有限公司 | Sensor node dynamic energy-saving sampling method based on data characteristics |
| CN117784697A (en) * | 2024-01-31 | 2024-03-29 | 成都秦川物联网科技股份有限公司 | Intelligent control method for intelligent gas pipe network data acquisition terminal and Internet of things system |
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| CN106535253A (en) * | 2016-11-23 | 2017-03-22 | 北京必创科技股份有限公司 | Method for dynamic acquisition and transmission of wireless data |
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Patent Citations (4)
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| WO2011131065A1 (en) * | 2010-04-23 | 2011-10-27 | 中兴通讯股份有限公司 | Network management system and data collection method |
| CN105278353A (en) * | 2014-05-29 | 2016-01-27 | 中国电信股份有限公司 | Method and system for acquiring data intelligently and data processing device |
| CN106502868A (en) * | 2016-11-18 | 2017-03-15 | 国云科技股份有限公司 | A kind of dynamic adjustment monitoring frequency method suitable for cloud computing |
| CN106535253A (en) * | 2016-11-23 | 2017-03-22 | 北京必创科技股份有限公司 | Method for dynamic acquisition and transmission of wireless data |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110247816A (en) * | 2019-05-13 | 2019-09-17 | 中国联合网络通信集团有限公司 | Index monitoring method and device |
| CN111970654A (en) * | 2020-07-08 | 2020-11-20 | 成都慧简联信息科技有限公司 | Sensor node dynamic energy-saving sampling method based on data characteristics |
| CN111970654B (en) * | 2020-07-08 | 2023-03-24 | 成都慧简联信息科技有限公司 | Sensor node dynamic energy-saving sampling method based on data characteristics |
| CN117784697A (en) * | 2024-01-31 | 2024-03-29 | 成都秦川物联网科技股份有限公司 | Intelligent control method for intelligent gas pipe network data acquisition terminal and Internet of things system |
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