CN106604298A - Early-warning method, device and terminal suitable for big data services - Google Patents
Early-warning method, device and terminal suitable for big data services Download PDFInfo
- Publication number
- CN106604298A CN106604298A CN201510683646.9A CN201510683646A CN106604298A CN 106604298 A CN106604298 A CN 106604298A CN 201510683646 A CN201510683646 A CN 201510683646A CN 106604298 A CN106604298 A CN 106604298A
- Authority
- CN
- China
- Prior art keywords
- big data
- data business
- network
- transfer speeds
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- 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
Abstract
The invention proposes an early-warning method, device and terminal suitable for big data services, and the method comprises the steps: detecting a network state; judging whether the detected network state meets an operation condition of big data services or not: carrying out the warning prompt when the detected network state does not meet the operation condition of big data services. The method irons out the defect caused by the stopping of prompt in a conventional process of downloading or visiting big data services when a network has a problem. The method brings forward the whole prompt, achieves the functions of early warning and pre-estimation, can reduce a large number of risks of repeated downloading and visiting of many data sources which cannot be discontinuously transmitted, and save a large amount of time and flow cost.
Description
Technical field
The present invention relates to terminal data service technique field, more particularly to a kind of big data business suitability is pre-
Alarm method, device and terminal.
Background technology
During wireless terminal use, the access or operation of big data business are often engaged in, for example, are downloaded,
But due to being wireless environment, it is possible to cause big data business access interrupt and failure, some data services
Cannot continued access, irretrievable loss can be brought to user, for example：Need to download a game or film,
But film source does not support breakpoint transmission, break when having downloaded hundreds of million, need download of starting from scratch, stream again
Amount consumes huge, so how before user starts big data business, pointing out user's current network shape
State is if appropriate for being just very useful.
However, the big data business under current wireless status are to predict current network state, directly
Connect startup to download or access, prompting is ejected after there is network disconnection, and is interrupted download or is accessed.So lead
The problem of cause is exactly, if current network state is not especially good, or the business running load of terminal itself is very
Greatly, may occur a section chain in access process, so much do not support breakpoint transmission business may in
It is disconnected, and have to reconnect, if can be with look-ahead and early warning, it is possible to solve this well
Problem.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of method for early warning of big data business suitability, dress
Put and terminal, can big data business be smoothed out with prediction and early warning.
The technical solution used in the present invention is, the method for early warning of the big data business suitability, including：
Detection network state；
Whether the network state that judgement is detected meets the condition of operation big data business, in ungratified situation
Under, carry out early warning.
Further, network state is detected, at least including one below：
By modulation /demodulation equipment detected wireless signals intensity；
Network transfer speeds are detected by sending access request；
Switching frequency between cordless communication network or the switching in minizone are obtained by modulation /demodulation equipment
Frequency, determines the network stabilization situation of place region.
Further, it is described to detect network transfer speeds by sending access request, at least including one below：
The first：By initiating access request to appointed website, when obtaining the operating lag of the appointed website
Between；Network transfer speeds are obtained divided by the response time with the capacity of the appointed website；
Second：By sending out to specified DNS (Domain Name System, domain name system) server
Ping (packet Internet Grope, the Internet packets survey meter) is sent to wrap and obtain the ping bags of return,
The ping bags are obtained from the total duration for being sent to return, then during one way a length of total duration half；With
The size of the ping bags obtains network transfer speeds divided by the one way duration.
Further, the condition of big data business is run, including：
Wireless signal strength, network transfer speeds, the switching frequency between cordless communication network and in minizone
Switching frequency in respectively reach default correspondence threshold value for one or more.
Further, early warning is carried out, including：
When starting to start big data business, point out whether close big data business；
When big data business are currently running, point out whether continue to run with big data business.
The present invention also provides a kind of prior-warning device of big data business suitability, including：
Detecting module, for detecting network state；
Reminding module, for judging whether the network state for detecting meets the condition of operation big data business,
In the case of ungratified, early warning is carried out.
Further, the detecting module, is at least included with one of lower module：
Wireless signal strength detection module, for by modulation /demodulation equipment detected wireless signals intensity；
Network transfer speeds detection module, for detecting network transfer speeds by sending access request；
Network stabilization situation detection module, for being obtained between cordless communication network by modulation /demodulation equipment
Switching frequency or the switching frequency in minizone, determine the network stabilization situation of place region.
Further, the network transfer speeds detection module, specifically for：
By access request being initiated to appointed website, obtain the response time of the appointed website；With institute
The capacity for stating appointed website obtains network transfer speeds divided by the response time；And/or,
By ping bags being sent to specified dns server and obtaining the ping bags of return, obtain institute
Ping bags are stated from the total duration for being sent to return, then during one way a length of total duration half；Use the ping
The size of bag obtains network transfer speeds divided by the one way duration.
Further, the condition of big data business is run, including：
Wireless signal strength, network transfer speeds, the switching frequency between cordless communication network and in minizone
Switching frequency in respectively reach default correspondence threshold value for one or more.
The present invention also provides a kind of terminal, including the prior-warning device of above-mentioned big data business suitability.
Using above-mentioned technical proposal, the present invention at least has following advantages：
The method for early warning of big data business suitability of the present invention, device and terminal, overcome it is conventional under
Carry or stop after network problem being run in accessing big data business again defect caused by prompting institute, the present invention is whole
Individual prompting work shifts to an earlier date, and realizes the function of an early warning and Pre-Evaluation, for being much unable to breakpoint transmission
Data source, can save the risk that user's repeated downloads are accessed with substantial amounts of, save plenty of time and campus network.
Description of the drawings
Method for early warning flow charts of the Fig. 1 for the big data business suitability of first embodiment of the invention；
Prior-warning device composition structural representations of the Fig. 2 for the big data business suitability of second embodiment of the invention
Figure；
Showing interface situation schematic diagrams of the Fig. 3 for fourth embodiment of the invention setting unit；
Fig. 4 is the prealarming process that big data business suitability is carried out under fourth embodiment of the invention wireless status
Total schematic diagram.
Specific embodiment
Further to illustrate that the present invention, to reach technological means and effect that predetermined purpose is taken, is below tied
Accompanying drawing and preferred embodiment are closed, the present invention is described in detail as after.
First embodiment of the invention, a kind of method for early warning of big data business suitability, as shown in figure 1, bag
Include step in detail below：
Step S101, detects network state；
Specifically, network state is detected, at least including one below：
1) by modulation /demodulation equipment detected wireless signals intensity；
2) network transfer speeds are detected by sending access request；
3) switching frequency between cordless communication network or cutting in minizone are obtained by modulation /demodulation equipment
Frequency is changed, the network stabilization situation of place region is determined.
In the present embodiment, wireless signal strength, network transfer speeds and above-mentioned switching frequency can be based only on
In rate this three it is a kind of come detect, judge whether to meet the condition of operation big data business, or its
In arbitrarily both or three combination, i.e., must consider whether above-mentioned arbitrarily both or three full simultaneously
The condition of foot operation big data business.Specific detection object flexibly can be arranged according to actual needs.
Further, the 2) in item, detects network transfer speeds by sending access request, at least include with
It is one of lower：
The first：By initiating access request to appointed website, when obtaining the operating lag of the appointed website
Between；Network transfer speeds are obtained divided by the response time with the capacity of the appointed website；
Second：By sending out to specified DNS (Domain Name System, domain name system) server
Send ping bags and obtain the ping bags of return, the ping bags are obtained from the total duration for being sent to return,
Then during one way a length of total duration half；Obtained divided by the one way duration with the size of the ping bags
Network transfer speeds.
Step S102, judges whether the network state for detecting meets the condition of operation big data business, not
In the case of satisfaction, early warning is carried out.
Specifically, in step s 102, the condition of big data business is run, including：
Wireless signal strength, network transfer speeds, the switching frequency between cordless communication network and in minizone
Switching frequency in respectively reach default correspondence threshold value for one or more.
In step s 102, early warning is carried out, including：
When starting to start big data business, point out whether close big data business；
When big data business are currently running, point out whether continue to run with big data business.
Second embodiment of the invention, corresponding with first embodiment, the present embodiment is introduced a kind of big data business and is fitted
The prior-warning device of suitable property, as shown in Fig. 2 including consisting of part：
1) detecting module 201, for detecting network state；
Specifically, detecting module 201 is at least included with one of lower module：
Wireless signal strength detection module 21, for by modulation /demodulation equipment detected wireless signals intensity；
Network transfer speeds detection module 22, for detecting network transfer speeds by sending access request；
Network stabilization situation detection module 23, for being obtained between cordless communication network by modulation /demodulation equipment
Switching frequency or the switching frequency in minizone, determine the network stabilization situation of place region.
Further, network transfer speeds detection module 22, specifically for：
By access request being initiated to appointed website, obtain the response time of the appointed website；With institute
The capacity for stating appointed website obtains network transfer speeds divided by the response time；And/or,
By ping bags being sent to specified dns server and obtaining the ping bags of return, obtain institute
Ping bags are stated from the total duration for being sent to return, then during one way a length of total duration half；Use the ping
The size of bag obtains network transfer speeds divided by the one way duration.
2) reminding module 202, for judging whether the network state for detecting meets operation big data business
Condition, in the case of ungratified, carries out early warning.
Specifically, the condition of big data business is run, including：
Wireless signal strength, network transfer speeds, the switching frequency between cordless communication network and in minizone
Switching frequency in respectively reach default correspondence threshold value for one or more.
Further, reminding module 202, specifically for：When starting to start big data business, whether prompting
Close big data business；When big data business are currently running, point out whether continue to run with big data business.
Third embodiment of the invention, a kind of terminal can understand as entity apparatus, implement including second
The prior-warning device of the big data business suitability described in example.
Fourth embodiment of the invention, the present embodiment are on the basis of above-described embodiment, to enter under wireless status
As a example by the early warning of row big data business suitability, an application example of the invention is introduced with reference to accompanying drawing 3～4.
The prior-warning device of big data business suitability is carried out under the wireless status of the embodiment of the present invention, comprising：If
Unit, detecting unit and Tip element are put, wherein,
Setting unit is used to arrange whether start the prior-warning device function, and showing interface situation is as shown in Figure 3.
Detecting unit is used to detect current network state, provides 3 kinds of detection parameters here network-like to reflect
State, 1) current signal strength；2) current network speed bandwidth；3) by for the previous period cut net frequency, come
Current network state is calculated, this cuts net frequency includes：Switching frequency between cordless communication network or
The switching frequency of minizone.Setting unit is additionally operable to arrange signal strength threshold, network speed bandwidth threshold and cuts
Net frequency threshold.
Tip element is realized to the prompting of user operation for according to the network state for detecting of detecting unit
And early warning.
The function of detecting unit is described further below, is divided into 3 kinds of optional embodiments, as shown in Figure 4.
The first：Judged whether to start Tip element according to wireless signal strength.The wireless signal strength bag
Include：The intensity of the wireless signal of mobile communications network, wifi signals or ZigBee signals etc..
So, the prealarming process that big data business suitability is carried out under the present embodiment wireless status is as follows：
Step 1：Setting unit opens early warning function；
Step 2：Signal strength threshold in detecting unit is set in setting unit；
Step 3：Start detecting unit, detect that current wireless signal is strong by modulation /demodulation equipment modem
Degree, and persistently sampling is averaged for 5-10 time；
Step 4：Judge whether to reach the threshold intensity requirement of setting unit setting, if wireless signal strength is low
In the threshold intensity of setting unit setting, then start Tip element.
Second：Judged whether to start Tip element according to current network speed.
So, the prealarming process that big data business suitability is carried out under the present embodiment wireless status is as follows：
Step 1：Setting unit opens early warning function；
Step 2：Network speed bandwidth threshold in detecting unit is set in setting unit；
Step 3：Start detecting unit, to appointed website (built-in in advance, such as baidu, google etc.)
Access request is initiated, according to time delay and the capacity of the appointed website of the access request for returning, is calculated
Go out current network speed；
Step 4：Judge whether to reach the threshold velocity requirement of setting unit setting, if network speed is less than set
The threshold velocity of unit setting is put, then starts Tip element.
The third：Judge whether to start Tip element according to net frequency is cut, this scene is that comparison is special,
Many times terminal switches between different districts repeatedly, illustrates the unstable networks of the region.
So, the prealarming process that big data business suitability is carried out under the present embodiment wireless status is as follows：
Step 1：Setting unit opens early warning function；
Step 2：In setting unit arrange detecting unit in cut net frequency threshold；
Step 3：Start detecting unit, net frequency is cut in acquisition, and the acquisition methods for cutting net frequency are at the backstage moment
Sample nearest 5 minutes or 10 minutes and cut net frequency, the data for obtaining of newly sampling cover legacy data repeatedly, adopt
Sample frequency can occupy situation comprehensively to determine according to the power consumption to terminal and to CPU, for example：Sampling frequency
Degree can be collected for one second and once cut net number of times.
Step 4：Judge whether that the threshold number for reaching setting unit setting is required, set if cutting net frequency and being less than
The threshold number of unit setting is put, then starts Tip element.
The present embodiment also provides Tip element, for the prompting that provided based on the result of detecting module and early warning,
The early warning started in Streaming Media comprising access big data, download big data business and other big data business
Prompting.
Give an example, the present embodiment can apply to user and start the scene that a big game is downloaded, under
Carry the detecting of front opening network to arrange, and a threshold value is set, before download is started, detecting unit detection is current
Network state, determine that state is whether suitable, if detect that signal intensity is too low, network speed bandwidth is narrow or
Here cuts net frequently for the previous period, then eject correspondence and point out, and points out user's stopping to download, it is to avoid user is not
The flow loss of needs.
By the explanation of specific embodiment, should be to the present invention to reach the technology taken by predetermined purpose
Means and effect are able to more go deep into and specific understanding, but appended diagram is only to provide and refers to and explanation
With not for being any limitation as to the present invention.
Claims (10)
1. a kind of method for early warning of big data business suitability, it is characterised in that include：
Detection network state；
Whether the network state that judgement is detected meets the condition of operation big data business, in ungratified situation
Under, carry out early warning.
2. the method for early warning of big data business suitability according to claim 1, it is characterised in that inspection
Network state is surveyed, at least including one below：
By modulation /demodulation equipment detected wireless signals intensity；
Network transfer speeds are detected by sending access request；
Switching frequency between cordless communication network or the switching in minizone are obtained by modulation /demodulation equipment
Frequency, determines the network stabilization situation of place region.
3. the method for early warning of big data business suitability according to claim 2, it is characterised in that institute
State and network transfer speeds are detected by sending access request, at least including one below：
The first：By initiating access request to appointed website, when obtaining the operating lag of the appointed website
Between；Network transfer speeds are obtained divided by the response time with the capacity of the appointed website；
Second：By sending the Internet packets survey meter ping bags simultaneously to specified domain name system DNS server
The ping bags for returning are obtained, and the ping bags are obtained from the total duration for being sent to return, then one way duration
For the half of the total duration；Network transmission speed is obtained divided by the one way duration with the size of the ping bags
Degree.
4. the method for early warning of big data business suitability according to claim 2, it is characterised in that fortune
The condition of row big data business, including：
Wireless signal strength, network transfer speeds, the switching frequency between cordless communication network and in minizone
Switching frequency in respectively reach default correspondence threshold value for one or more.
5. the method for early warning of the big data business suitability according to any one of Claims 1 to 4, which is special
Levy and be, carry out early warning, including：
When starting to start big data business, point out whether close big data business；
When big data business are currently running, point out whether continue to run with big data business.
6. a kind of prior-warning device of big data business suitability, it is characterised in that include：
Detecting module, for detecting network state；
Reminding module, for judging whether the network state for detecting meets the condition of operation big data business,
In the case of ungratified, early warning is carried out.
7. the prior-warning device of big data business suitability according to claim 6, it is characterised in that institute
Detecting module is stated, is at least included with one of lower module：
Wireless signal strength detection module, for by modulation /demodulation equipment detected wireless signals intensity；
Network transfer speeds detection module, for detecting network transfer speeds by sending access request；
Network stabilization situation detection module, for being obtained between cordless communication network by modulation /demodulation equipment
Switching frequency or the switching frequency in minizone, determine the network stabilization situation of place region.
8. the prior-warning device of big data business suitability according to claim 7, it is characterised in that institute
Network transfer speeds detection module is stated, specifically for：
By access request being initiated to appointed website, obtain the response time of the appointed website；With institute
The capacity for stating appointed website obtains network transfer speeds divided by the response time；And/or,
By ping bags being sent to specified dns server and obtaining the ping bags of return, obtain institute
Ping bags are stated from the total duration for being sent to return, then during one way a length of total duration half；Use the ping
The size of bag obtains network transfer speeds divided by the one way duration.
9. the prior-warning device of big data business suitability according to claim 7, it is characterised in that fortune
The condition of row big data business, including：
Wireless signal strength, network transfer speeds, the switching frequency between cordless communication network and in minizone
Switching frequency in respectively reach default correspondence threshold value for one or more.
10. a kind of terminal, it is characterised in that include the big data as any one of claim 6～9
The prior-warning device of business suitability.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510683646.9A CN106604298A (en) | 2015-10-20 | 2015-10-20 | Early-warning method, device and terminal suitable for big data services |
| PCT/CN2016/080274 WO2016180230A1 (en) | 2015-10-20 | 2016-04-26 | Method of providing early warning on large data service availability, and deice and terminal utilizing same |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510683646.9A CN106604298A (en) | 2015-10-20 | 2015-10-20 | Early-warning method, device and terminal suitable for big data services |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106604298A true CN106604298A (en) | 2017-04-26 |
Family
ID=57248521
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510683646.9A Withdrawn CN106604298A (en) | 2015-10-20 | 2015-10-20 | Early-warning method, device and terminal suitable for big data services |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106604298A (en) |
| WO (1) | WO2016180230A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112751721A (en) * | 2019-10-31 | 2021-05-04 | 佛山市顺德区美的电热电器制造有限公司 | Cooking control method, device, server, computer storage medium and cooking control system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102468989A (en) * | 2010-11-11 | 2012-05-23 | 腾讯科技（深圳）有限公司 | Method and system for processing network data |
| US20120284763A1 (en) * | 2011-05-04 | 2012-11-08 | Choi Eunhae | Method and apparatus for controlling display of information on a television |
| CN103023755A (en) * | 2012-12-07 | 2013-04-03 | 东莞宇龙通信科技有限公司 | Method and electronic device for data transmission |
| CN103516796A (en) * | 2013-09-26 | 2014-01-15 | 深圳酷派技术有限公司 | Data processing method and system in weak signal situation |
-
2015
- 2015-10-20 CN CN201510683646.9A patent/CN106604298A/en not_active Withdrawn
-
2016
- 2016-04-26 WO PCT/CN2016/080274 patent/WO2016180230A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102468989A (en) * | 2010-11-11 | 2012-05-23 | 腾讯科技（深圳）有限公司 | Method and system for processing network data |
| US20120284763A1 (en) * | 2011-05-04 | 2012-11-08 | Choi Eunhae | Method and apparatus for controlling display of information on a television |
| CN103023755A (en) * | 2012-12-07 | 2013-04-03 | 东莞宇龙通信科技有限公司 | Method and electronic device for data transmission |
| CN103516796A (en) * | 2013-09-26 | 2014-01-15 | 深圳酷派技术有限公司 | Data processing method and system in weak signal situation |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112751721A (en) * | 2019-10-31 | 2021-05-04 | 佛山市顺德区美的电热电器制造有限公司 | Cooking control method, device, server, computer storage medium and cooking control system |
| CN112751721B (en) * | 2019-10-31 | 2022-10-21 | 佛山市顺德区美的电热电器制造有限公司 | Cooking control method, device, server, computer storage medium and cooking control system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016180230A1 (en) | 2016-11-17 |
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Application publication date: 20170426 |