CN106652419A - Wireless monitoring network dynamic synchronous acquisition method based on comprehensive sensitive event driving - Google Patents
Wireless monitoring network dynamic synchronous acquisition method based on comprehensive sensitive event driving Download PDFInfo
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- CN106652419A CN106652419A CN201710030667.XA CN201710030667A CN106652419A CN 106652419 A CN106652419 A CN 106652419A CN 201710030667 A CN201710030667 A CN 201710030667A CN 106652419 A CN106652419 A CN 106652419A
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- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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Abstract
The invention discloses a wireless monitoring network dynamic synchronous acquisition method based on comprehensive sensitive event driving. The method comprises the following steps: (1) a monitoring system is established; (2) a detection system is mounted at a monitoring site; (3) the monitoring system is started, data for the first time acquired by sensors is read, X1-X4 are defined, proportionality coefficients a, b, c and d for the first time are distributed for X1, X2, X3 and X4 respectively, wherein a is the largest, and the sum of the proportionality coefficients is 1; (4) a judging parameter F is set according to X1-X4 and the proportionality coefficients, a threshold of F is set, and the system does not upload slip mass information when F is smaller than the threshold; a GSM module is waken up to upload data when F is larger than or equal to the threshold, and a power supply is shut down after unloading. Power-on acquisition time of each sensor is distributed according to the influence degree of sensor events on landslide, weighted summation is performed on data of the sensors, and occurrence of sensitive event is affirmed and data is uploaded when the sum exceeds the threshold.
Description
Technical field
The present invention relates to a kind of land slide data acquisition method, more particularly to it is a kind of based on the wireless of comprehensive sensitive event driving
Monitoring network dynamic synchronization acquisition method.
Background technology
China is vast in territory, is the country that a geological disaster takes place frequently, life of the substantial amounts of geological disaster to the people
Property safety has greatly harm.In all kinds of geological disasters, landslide disaster accounting is maximum, so the monitoring to coming down is ten
Divide necessary.Slip mass often had omen before it there is landslide, including：WATER LEVEL CHANGES, rainfall change,
Table crack changes and deep displacement changes etc.；Data above is acquired using respective sensor and enters sector-style in acquisition station
Danger judges, to determine the need for uploading data.Traditional monitoring algorithm is timing to electricity in each module of system, each sensing of collection
The device parameter threshold value of oneself is contrasted with each module, wakes up gsm module if more than threshold value and uploads all data.This control
Algorithm processed is realized being relatively easy to, but each module is frequent powered up, and system power dissipation is higher.
Acquisition station mainly adopts wired with each sensor assembly at present（Such as RS485 buses etc.）Mode communicates, such mode
It is relatively easy on software program design, but it is actual lay sensor when it is larger by the influence of topography, and wireless network can be compared with
Good this problem of solution.The timing tracking accuracy of traditional communication is more difficult, it is difficult to meet demand.Base of the present invention
Wireless-transmission network is set up in the Zigbee protocol of super low-power consumption, time synchronization problem can be solved using RBS synchronized algorithms.
The content of the invention
What the mesh of the present invention was invented is that offer one kind solves the above problems, and it is easy that sensor is laid, can be according to monitoring
Region practical situation lays sensor, and can enter Mobile state adjustment to the collection period of collecting unit, reduces power consumption as far as possible
Based on the wireless monitor network dynamic synchronous collection method that comprehensive sensitive event drives.
To achieve these goals, the technical solution used in the present invention is such：It is a kind of to be driven based on comprehensive sensitive event
Dynamic wireless monitor network dynamic synchronous collection method, comprises the following steps,
（1）Monitoring system is set up, the monitoring system includes collecting unit, acquisition station and monitor terminal, the collecting unit bag
Several displacement transducers, several obliquity sensors, a level sensor, an interval rain sensor are included, all the sensors lead to
Cross ZigBee interfaces to be connected with acquisition station, the acquisition station is obtained and communicated with each sensor by ZigBee-network, and pass through GSM
Module will be communicated with monitor terminal；
（2）In monitoring ground installation detecting system, the monitoring ground at least connects the monitoring of subsoil water including a ground fissure with one
Well, installs one or more ground fissure sensors at crack two ends according to the length of ground fissure, and the obliquity sensor is by same
One direction is equidistantly fixed on a wirerope, and wirerope is inserted vertically into and is fixed on monitoring well inner bottom part, and the level sensor sets
Put with monitoring well, interval rain sensor is arranged on the peak on monitoring ground；
（3）Start monitoring system, read the data first that each sensor acquisition is arrived, wherein, the data of interval rain sensor are
X1, the maximum of all surface cracks sensing datas is X2, and the data of level sensor are X3, the angle of all obliquity sensors
The displacement of degrees of data the Fitting Calculation is X4,
Proportionality coefficient a, b, c, d first are respectively allocated for X1, X2, X3, X4, wherein a is maximum, and each proportionality coefficient sum is 1；
（4）One decision parameter F is set, and F adopts following formula（1）Gained,
F=aX1 +bX2+cX3+dX4 （1）,
The threshold value of one F is arranged according to monitoring ground historical data, when F is less than threshold value, system does not upload slip mass information；When F it is big
In equal to threshold value, then wake up gsm module and upload data, after the completion of upload, turn off its power supply.
As preferred：The displacement of the angle-data the Fitting Calculation of obliquity sensor is that the method for X4 is：
（1）If the spacing of adjacent two obliquity sensor is L, with bottom obliquity sensor as reference mode, each inclination angle is obtained
The tiltangleθ of sensor, obtains the relative displacement that the obliquity sensor goes up an obliquity sensor relatively；
（2）The relative displacement of the displacement of each obliquity sensor and preamble all obliquity sensors is added up, each inclination angle is obtained
The displacement of sensor；
（3）All displacements are fitted with method of least square, after fitting, curve maximum is slip mass with the difference of minima
Displacement X4.
As preferred：Displacement transducer, obliquity sensor, level sensor, interval rain sensor are grouped by type,
A same threshold is set per group, if at least one data superthreshold in the group, is increased proportionality coefficient corresponding with sensor, and is protected
Each proportionality coefficient sum is demonstrate,proved for 1, if four groups of data all superthresholds, keep each proportionality coefficient constant.
As preferred：The monitoring bottom reaches stable native rock stratum.
Wherein, for multiple, actual number is arranged displacement transducer according to the number and length of ground fissure, and such as one longly
Crack both sides can be uniformly arranged multiple displacement transducers, be mainly used in monitoring the ground epi-position fracture number evidence of slip mass；
Obliquity sensor is multiple, and actual number is arranged according to the depth of monitoring well, and nethermost one is fixed on monitoring well bottom
Portion of portion reaches stable soil（Rock）Layer, gives tacit consent to its fixation and will not occur to slide, as the reference mode of remaining obliquity sensor, and
Can judge whether the node slides by the obliquity sensor data in actual applications.Obliquity sensor is used to monitor landslide
The inclination data of body；
Interval rain sensor is one, and for monitoring slip mass areal precipitation, and generally, acquiescence rainfall is over the ground
Matter disaster such as comes down, the impact of mud-rock flow etc. is maximum, so correspondence its proportionality coefficient, is typically matched somebody with somebody by best result；
Level of ground water sensor, is arranged in monitoring well, for monitoring landslide body region drop level of ground water, in certain monitored area
Deep-well can be for multiple, and obliquity sensor and level of ground water sensor need not be in same wells.
Compared with prior art, it is an advantage of the current invention that：
1st, low in energy consumption, sensor is laid easy.In device, each sensor is completely independent on hardware with acquisition station, is only passed through
ZigBee wireless communications, and based on event driven collection period and the method for weight dynamic adjustment, dispatch each module and adopt
Collection and upload, facilitate system wiring.
2nd, acquisition station gathers the data of each sensor, according to Sensor Events to the influence degree for coming down, distributes each sensing
Electric acquisition time on device, and summation is weighted to each sensing data, when with value more than threshold value, regard as sensitive thing
Part, wakes up gsm module and uploads data.The method driven using sensitive event, enters Mobile state adjustment to each module collection period,
The requirement of power consumption can be reduced.
Description of the drawings
Fig. 1 is the schematic diagram of monitoring system of the present invention；
Fig. 2 is the location diagram of two adjacent obliquity sensors.
Specific embodiment
Below in conjunction with accompanying drawing, the invention will be further described.
Embodiment 1：Referring to Fig. 1, Fig. 2, a kind of wireless monitor network dynamic driven based on comprehensive sensitive event is synchronously adopted
Diversity method, comprises the following steps：
（1）Monitoring system is set up, the monitoring system includes collecting unit, acquisition station and monitor terminal, the collecting unit bag
Several displacement transducers, several obliquity sensors, a level sensor, an interval rain sensor are included, all the sensors lead to
Cross ZigBee interfaces to be connected with acquisition station, the acquisition station is obtained and communicated with each sensor by ZigBee-network, and pass through GSM
Module will be communicated with monitor terminal；
（2）In monitoring ground installation detecting system, the monitoring ground at least connects the monitoring of subsoil water including a ground fissure with one
Well, installs one or more ground fissure sensors at crack two ends according to the length of ground fissure, and the obliquity sensor is by same
One direction is equidistantly fixed on a wirerope, and wirerope is inserted vertically into and is fixed on monitoring well inner bottom part, and the level sensor sets
Put with monitoring well, interval rain sensor is one, be arranged on the peak on monitoring ground, for monitoring slip mass Regional Precipitation
Amount, and generally, give tacit consent to rainfall geological disaster such as come down, the impact maximum of mud-rock flow etc., so correspondingly its ratio
Example coefficient, is typically matched somebody with somebody by best result, and level of ground water sensor is one, is arranged in monitoring well, for monitoring landslide body region
Drop level of ground water, the deep-well in certain monitored area can be for multiple, and obliquity sensor and level of ground water sensor need not one
Surely will be in same well；
（3）Start monitoring system, read the data first that each sensor acquisition is arrived, wherein, the data of interval rain sensor are
X1, the maximum of all surface cracks sensing datas is X2, and the data of level sensor are X3, the angle of all obliquity sensors
The displacement of degrees of data the Fitting Calculation is X4；
Proportionality coefficient a, b, c, d first are respectively allocated for X1, X2, X3, X4, wherein a is maximum, and each proportionality coefficient sum is 1；
（4）One decision parameter F is set, and F adopts following formula（1）Gained,
F=aX1 +bX2+cX3+dX4 （1）,
The threshold value of one F is arranged according to monitoring ground historical data, when F is less than threshold value, system does not upload slip mass information；When F it is big
In equal to threshold value, then wake up gsm module and upload data, after the completion of upload, turn off its power supply；
（5）Displacement transducer, obliquity sensor, level sensor, interval rain sensor are grouped by type, a phase is set per group
Same threshold value, if at least one data superthreshold in the group, increases proportionality coefficient corresponding with sensor, and ensures each ratio system
Number sums are 1, if four groups of data all superthresholds, keep each proportionality coefficient constant, calculate F values according to the data after change；Work as F
More than or equal to threshold value, then wake up gsm module and upload data, after the completion of upload, turn off its power supply.
Generally：Due to impact maximum of the rainfall to geological disaster, when Set scale coefficient first, we
Proportionality coefficient a corresponding with interval rain sensor data X1 can be set greater than equal to 0.5, remaining proportionality coefficient is equal again
Even distribution, or according to the parameter logistic of monitoring ground actual influence geology, adjust the size of proportionality coefficient, for example, surveyed according to geology
Survey, when the relation that ground-to-ground matter affects, crack data ＞ waterlevel data ＞ inclination datas, then adjust proportionality coefficient a ＞ b ＞ c ＞
D, and four proportionality coefficient sums are 1；
And with regard to the threshold value of decision parameter F, can according to monitoring the historical data relevant with X1, X2, X3, X4 drafting,
Can be arranged according to practical experience.
In addition, with regard to the computational methods of X4：Stable native rock stratum, the inclination angle sensing of bottom are reached due to monitoring bottom
Device will not occur to slide in theory, it is believed that the obliquity sensor node of bottom be it is fixed, can as reference mode,
Can judge whether the node slides by obliquity sensor data in practical application.In the present embodiment, the angle of obliquity sensor
The displacement of degrees of data the Fitting Calculation is that the method for X4 is：
（1）If the spacing of adjacent two obliquity sensor is L, with bottom obliquity sensor as reference mode, each inclination angle is obtained
The tiltangleθ of sensor, obtains the relative displacement that the obliquity sensor goes up an obliquity sensor relatively；
（2）The relative displacement of the displacement of each obliquity sensor and preamble all obliquity sensors is added up, each inclination angle is obtained
The displacement of sensor；
（3）All displacements are fitted with method of least square, after fitting, curve maximum is slip mass with the difference of minima
Displacement X4.
The present invention is provided with threshold value for F, when the F value superthresholds that the data for monitoring are calculated, just regards as generation quick
Sense event, wakes up gsm module and uploads data.The method driven using sensitive event, enters Mobile state to each module collection period
Adjustment, can reduce the requirement of power consumption.
But in the present invention, proportionality coefficient is actually not changeless, and otherwise sensitivity is relatively low, we are also each sensing
Device is provided with threshold value, and according to the value of each proportionality coefficient of threshold value dynamic adjustment, F values is changed according to practical situation occurrence dynamics,
Reduce further power consumption, it is ensured that upload the degree of accuracy of data.
Claims (4)
1. it is a kind of based on comprehensive sensitive event drive wireless monitor network dynamic synchronous collection method, it is characterised in that：Including
Following steps,
（1）Monitoring system is set up, the monitoring system includes collecting unit, acquisition station and monitor terminal, the collecting unit bag
Several displacement transducers, several obliquity sensors, a level sensor, an interval rain sensor are included, all the sensors lead to
Cross ZigBee interfaces to be connected with acquisition station, the acquisition station is obtained and communicated with each sensor by ZigBee-network, and pass through GSM
Module will be communicated with monitor terminal；
（2）In monitoring ground installation detecting system, the monitoring ground at least connects the monitoring of subsoil water including a ground fissure with one
Well, installs one or more ground fissure sensors at crack two ends according to the length of ground fissure, and the obliquity sensor is by same
One direction is equidistantly fixed on a wirerope, and wirerope is inserted vertically into and is fixed on monitoring well inner bottom part, and the level sensor sets
Put with monitoring well, interval rain sensor is arranged on the peak on monitoring ground；
（3）Start monitoring system, read the data first that each sensor acquisition is arrived, wherein, the data of interval rain sensor are
X1, the maximum of all surface cracks sensing datas is X2, and the data of level sensor are X3, the angle of all obliquity sensors
The displacement of degrees of data the Fitting Calculation is X4,
Proportionality coefficient a, b, c, d first are respectively allocated for X1, X2, X3, X4, wherein a is maximum, and each proportionality coefficient sum is 1；
（4）One decision parameter F is set, and F adopts following formula（1）Gained,
F=aX1 +bX2+cX3+dX4 （1）,
The threshold value of one F is arranged according to monitoring ground historical data, when F is less than threshold value, system does not upload slip mass information；When F it is big
In equal to threshold value, then wake up gsm module and upload data, after the completion of upload, turn off its power supply.
2. it is according to claim 1 based on comprehensive sensitive event drive wireless monitor network dynamic synchronous collection method,
It is characterized in that：The displacement of the angle-data the Fitting Calculation of obliquity sensor is that the method for X4 is：
（1）If the spacing of adjacent two obliquity sensor is L, with bottom obliquity sensor as reference mode, each inclination angle is obtained
The tiltangleθ of sensor, obtains the relative displacement that the obliquity sensor goes up an obliquity sensor relatively；
（2）The relative displacement of the displacement of each obliquity sensor and preamble all obliquity sensors is added up, each inclination angle is obtained
The displacement of sensor；
（3）All displacements are fitted with method of least square, after fitting, curve maximum is slip mass with the difference of minima
Displacement X4.
3. it is according to claim 1 based on comprehensive sensitive event drive wireless monitor network dynamic synchronous collection method,
It is characterized in that：Displacement transducer, obliquity sensor, level sensor, interval rain sensor are grouped by type, are set per group
One same threshold, if at least one data superthreshold in the group, increases proportionality coefficient corresponding with sensor, and ensures each ratio
Example coefficient sum is 1, if four groups of data all superthresholds, keep each proportionality coefficient constant.
4. it is according to claim 1 based on comprehensive sensitive event drive wireless monitor network dynamic synchronous collection method,
It is characterized in that：The monitoring bottom reaches stable native rock stratum.
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| CN112885065A (en) * | 2021-01-14 | 2021-06-01 | 武汉宏佳启元科技有限公司 | Data transmission processing method |
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