CN104702679B - A kind of Internet of Things radio node data transmission method for uplink - Google Patents
A kind of Internet of Things radio node data transmission method for uplink Download PDFInfo
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- CN104702679B CN104702679B CN201510081176.9A CN201510081176A CN104702679B CN 104702679 B CN104702679 B CN 104702679B CN 201510081176 A CN201510081176 A CN 201510081176A CN 104702679 B CN104702679 B CN 104702679B
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Abstract
The present invention relates to a kind of Internet of Things radio node data sending strategy, the strategy changes existing single alarming line, cross the mode that line sends data, from the aspect of battery electric quantity endurance, administrative staff's attention degree, physical fault alarm condition three, by the way of dynamic, automatic amendment alarming line, the problem of avoiding monitoring feature value from being passed through repeatedly near alarming line causes frequently to send alert data；This strategy has remarkable effect to improving the existing status monitoring efficiency based on Internet of Things, lifting battery durable ability.
Description
Technical field
The present invention relates to a kind of Internet of Things radio node data sending strategy, is a kind of current Internet of Things wireless monitor of solution
Field signal passes through the data transmission method for uplink of alarming line problem repeatedly.
Background technology
Internet of Things concept " be on the basis of " internet concept ", by its user terminal extend and expand to any article with
Between article, enter a kind of network concept that row information is exchanged and communicated.Data wireless transmission is one kind of Internet of Things information transmission
Important channel, there is preferable application in fields such as green agriculture, industrial monitoring, public safety, city management.Based on Internet of Things
Status monitoring field, measured object monitoring signals species is more, temperature, pressure, flow, vibration, speed etc..Unlike signal passes through
After data acquisition process, it is required for carrying out alarm decision.In the occasion using wireless monitor, because wireless sensor data is sent out
Dependence battery electric quantity is sent, can not accomplish to send in real time as on-line monitoring, excessively frequently signal hair senses to wireless monitor
Device battery durable ability is larger test.
According to practical application experience, on the one hand, lasting alarm signal will make maintenance management personnel numbness occur, think little of
Phychology；On the other hand, the alarm that actual measured object passes through initiation repeatedly near alarming line is often that the extent of injury is less
Exception cause.Therefore, examined in terms of battery electric quantity endurance, administrative staff's attention degree, physical fault alarm condition three
Consider, to existing single alarming line, it is that the mode for sending data is improved to cross line, forms the key technology of the present invention.
The content of the invention
A kind of Internet of Things radio node data sending strategy, it is characterised in that the pattern that data are sent；
Every time T1 collections, each characteristic value of primary measured and node battery electric quantity are calculated, signal characteristic value (does not include electricity
Pond electricity), m are designated as, a data are wirelessly sent every time T2；T2 is T1 integral multiples, be can be set；
(1) alarm free pattern：The alarming value of signal characteristic value is not provided with, it is each every time T1 collections, calculating primary measured
Characteristic value and node battery electric quantity, a data are wirelessly sent every time T2；
(2) there is alarm mode：The initial alarming value for setting each characteristic value (not including battery electric quantity) is
Once each characteristic value and node battery electric quantity are calculated every time T1 collections；
1st time collection after each characteristic value respectively with each initial alarming valueCompare, if
Less than alarming value, then alarming value is constant, when apart from last time delivery time interval less than T2 when, dormancy does not send data, works as transmission
When interval time is equal to T2, each characteristic value and battery electric quantity data are sent；If each characteristic value, which exists, is more than or equal to initial setting report
Alert valueSituation, this sends each characteristic value and battery electric quantity data immediately after having gathered signal, and adjusts corresponding special
The alarming value of value indicative isN is the alarming line amplification coefficient or automatic meter being manually set
Calculate and obtain, automatic calculating method is (fn-fn-1)/fn；
The L+1 times collection is carried out after L*T1, is more than or equal to current alerts value if existing in each characteristic value measuredSituation, then send each characteristic value and battery electric quantity data after having gathered signal, and change individual features value
Alarming value isIf characteristic value is more than or equal to initial alarming valueAnd it is less than
Current alerts valueThen the alarming value of individual features value keeps current alerts value constantWhen apart from last time
When delivery time interval is less than T2, dormancy does not send data, when transmission interval time being equal to T2, sends each characteristic value and battery
Electric quantity data；If exist in signal characteristic value and be less than initial alarming valueSituation, then change individual features value report
Warning value isThen when apart from last time delivery time interval less than T2 when, dormancy does not send data, when send interval time
During equal to T2, each characteristic value and battery electric quantity data are sent.
The present invention is a kind of data hair for solving the problems, such as current Internet of Things wireless monitor field signal and passing through alarming line repeatedly
Delivery method.
Brief description of the drawings
Fig. 1 is implementing procedure figure of the present invention；
Fig. 2 is acceleration peak value trend of the embodiment of the present invention；
Fig. 3 is speed virtual value trend of the embodiment of the present invention；
Embodiment
Embodiment 1：
In the present embodiment, using wireless vibration and temperature nodes to experimental bench measured object acceleration peak value, speed virtual value
Collection is timed with temperature value, for acquisition time at intervals of 20 minutes, transmission time interval was 1 hour.
As shown in table 1, it is measured object normal moment each characteristic value numerical values recited, includes battery voltage information.Such as the institute of table 2
Show, be that measured object each characteristic value numerical values recited after alarm occurs, include battery voltage information.
In the present embodiment,Represent acceleration peak value respectively, speed virtual value, temperature
Initial alarming line.Alarming line amendment is using artificial setting pattern, N=0.1.
The initial alarming line of acceleration peak value is 25m/s2；
The initial alarming line of velocity peak values is 2mm/s；
The initial alarming line of temperature peak is 40 DEG C；
The signal characteristic value that the 1 normal moment of table gathers at different moments
The signal characteristic value that the alarm moment of table 2 gathers at different moments
As shown in table 1,7：After 11 data acquisitions, data are sent, are not above the situation of alarming line.7：11 arrive
9：11 this periods, each characteristic value keep stable, are not above the situation of alarming line.Therefore, the data of collection in every 20 minutes,
Send a data within 1 hour.
As shown in table 2,12：After 51 data acquisitions, the situation of alarming line is not above, does not send data.7：
11 to 14：11 this periods, each characteristic value keep stable, are not above the situation of alarming line, and therefore, collection in every 20 minutes is once
Data, send a data within 1 hour.But to 14：When 31, acceleration peak value exceedes alarming line 25m/s2, number is sent immediately
According to, and correct acceleration peak value alarming line and be：25 (1+0.1)=27.5m/s2, other characteristic value alarming lines are constant；To 14：51
When, acceleration peak value is still above revised alarming line 27.5m/s2, data are sent immediately, and correct acceleration peak value alarming line
For：27.5 (1+0.1)=30.25m/s2, other characteristic value alarming lines are constant.
Embodiment 2：
The present embodiment carries out status monitoring for actual field large scale equipment, using wireless vibration node, gathers acceleration
Peak value and speed virtual value.Fig. 1 is the acceleration peak value trend curve in the case of the equipment fault, and Fig. 2 is that speed virtual value becomes
Power curve.
The monitoring signals list of feature values (1) of table 3
The monitoring signals characteristic value (2) of table 4
In the present embodiment, for acquisition time at intervals of 20 minutes, transmission time interval was 1 hour.
Acceleration peak value, the initial alarming line of speed virtual value are represented respectively, and alarming line amendment uses automatic computation schema.
The initial alarming line of acceleration peak value is 150m/s2；
The initial alarming line of velocity peak values is 4.5mm/s；
6:51, acceleration peak value exceedes alarming line the 1st time, sends data immediately, corrects acceleration peak value alarming line
For 150* (1+ (155.33-134.01)/155.33)=170.59m/s2；7:11, acceleration peak value 148.67m/s2, it is small
In 150m/s2, it is 150m/s to correct alarming line again2；
7:51, in the absence of alarm, with respect to last time delivery time 6:51 1 hour, therefore send data again；
8:51, in the absence of alarm, data are sent again；
9:11, acceleration peak value exceedes alarming line the 2nd time, sends data immediately, corrects acceleration peak value alarming line
For 150* (1+ (194.48-88.87)/194.48)=231.45m/s2；9:31, acceleration peak value 95.93m/s2, it is less than
150m/s2, it is 150m/s to correct alarming line again2；
10:11, in the absence of alarm, with respect to last time delivery time 9:11 1 hour, data were sent again；
10:31, acceleration peak value exceedes alarming line the 3rd time, sends data immediately, corrects acceleration peak value alarming line
For 150* (1+ (215.02-123.56)/215.02)=213.80m/s2；Meanwhile vibration velocity virtual value have also exceeded alarm
Line, is 4.6mm/s, and erection rate virtual value alarming line is 4.5* (1+ (4.6-3.49)/4.6)=5.58mm/s.
Because unit is from 6:51 to 10:31 exceed acceleration peak value alarming line three times, have finally also exceeded unit vibration speed
Virtual value alarming line, Field Force's parking are overhauled, it is found that unit has failure.From 10:51 start, and the unit of monitoring shakes
Dynamic acceleration peak value shows that unit is dead ship condition with speed virtual value.
Claims (1)
- A kind of 1. Internet of Things radio node data transmission method for uplink, it is characterised in that；Every time T1 collections, each characteristic value and node battery electric quantity of calculating primary measured thing, not including node battery electric quantity The number of characteristic value be designated as m, wirelessly send a data every time T2；T2 is T1 integral multiples；The initial alarming value of each characteristic value that setting does not include node battery electric quantity isWherein i=1,2 ... m, often Once each characteristic value and node battery electric quantity are calculated every time T1 collections；1st time collection after each characteristic value respectively with each initial alarming valueCompare, wherein i=1,2 ... m, if Less than alarming value, then alarming value is constant, when apart from last time delivery time interval less than T2 when, dormancy does not send data, works as transmission When interval time is equal to T2, each characteristic value and node battery electric quantity data are sent；If each characteristic value, which exists, is more than or equal to initial report Alert valueSituation, this sends each characteristic value and node battery electric quantity immediately after having gathered signal, and adjusts corresponding special The alarming value of value indicative isN is the alarming line amplification coefficient or automatic meter being manually set Calculate and obtain, automatic calculating method is (fn-fn-1)/fn；Wherein fnFor the numerical values recited of n-th collection；fn-1For (n-1)th collection Numerical values recited；The L+1 times collection is carried out after L*T1, is more than or equal to current alerts value if existing in each characteristic value measuredSituation, then gathered and sent each characteristic value and node battery electric quantity data after signal immediately, and changed corresponding The alarming value of characteristic value isIf each characteristic value is more than or equal to initial alarming valueAnd it is less than current alerts valueSituation, then individual features value alarming value keep current alerts It is worth constantWhen apart from last time delivery time interval less than T2 when, dormancy does not send data, when sending interval time etc. When T2, each characteristic value and node battery electric quantity data are sent；If exist in each characteristic value and be less than initial alarming valueSituation, then change individual features value alarming value beThen when between last time delivery time When less than T2, dormancy does not send data, when transmission interval time being equal to T2, sends each characteristic value and node battery electric quantity number According to.
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| CN110099404B (en) * | 2018-01-30 | 2022-07-15 | 中国移动通信有限公司研究院 | Duration testing method and device |
| CN110035446B (en) * | 2019-04-04 | 2022-07-26 | 中科云创(厦门)科技有限公司 | Heartbeat data sending method and device, electronic equipment and readable medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101718634A (en) * | 2009-11-20 | 2010-06-02 | 西安交通大学 | Equipment state comprehensive dynamic alarming method based on multivariate probability model |
| CN102637337A (en) * | 2012-04-23 | 2012-08-15 | 宁波市科技园区佳柏电子有限公司 | Alarming method of adaptive smoke alarm |
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| US8564613B2 (en) * | 2009-06-05 | 2013-10-22 | Nonin Medical, Inc. | Display modification based on measurement type |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101718634A (en) * | 2009-11-20 | 2010-06-02 | 西安交通大学 | Equipment state comprehensive dynamic alarming method based on multivariate probability model |
| CN102637337A (en) * | 2012-04-23 | 2012-08-15 | 宁波市科技园区佳柏电子有限公司 | Alarming method of adaptive smoke alarm |
Non-Patent Citations (1)
| Title |
|---|
| 发电设备点检与故障诊断信息管理系统的开发研究;齐雨村;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20080716;全文 * |
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