CN110311756A - Underground substance detection monitoring system and detection monitoring method - Google Patents
Underground substance detection monitoring system and detection monitoring method Download PDFInfo
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- CN110311756A CN110311756A CN201910608567.XA CN201910608567A CN110311756A CN 110311756 A CN110311756 A CN 110311756A CN 201910608567 A CN201910608567 A CN 201910608567A CN 110311756 A CN110311756 A CN 110311756A
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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- H—ELECTRICITY
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- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
A detection monitoring method for underground substances comprises the steps of respectively collecting detection parameter data and monitoring data in a preset period; processing the acquired detection parameter data and monitoring data, and analyzing abnormal conditions of the detection parameter data and the monitoring data respectively; the monitoring method has comprehensive monitoring, can timely reflect the monitoring condition, ensures the stability of the monitoring environment, timely feeds back the abnormity in the environment and quickly locks an abnormal target.
Description
Technical field
The present invention relates to subsurface investigation monitoring fields, and in particular to a kind of subsurface material detection system and detection monitoring side
Method.
Background technique
Underground water is one kind of subsurface material, and underground water is the important component of water resource, since water is stablized, water quality
It is good, it is one of the important water source in agricultural irrigation, industrial and mineral and city.Mainly there is remote sensing technology to underground hydrological detection method now
Method, salinity method, radioactive element method, gongwu prospecting etc..It needs that many hardware facilities are installed when detection, not only cost but also has taken
When.
Subsurface material is abundant, can be exploited by subsurface material detection device with Underground substance, monitor and utilize
Various ways.Subsurface material detection device refers to and detects streamflow regime in soil by corresponding mechanical equipment, to carry out object
Matter whether there is or not detection process, be widely used in subsurface material detection process and simple and convenient；Existing subsurface material detection dress
It sets and is mainly detected including the use of devices such as magnetic, ultrasonic waves, also include the detection mode of direct contact.
Then, now with the development of science and technology, subsurface material is detected and its monitoring method of the underground space starts to become
More diversification and intelligence are obtained, such as is integrated with multi-functional subsurface material detection system, its own is integrated with communication, visits
The various ways such as survey, processing, and certain arrangement scale is formed, also the mode of a variety of new sciences and technologies such as combining Internet of Things is real
Existing multi-functional detection system.
In the prior art, application No. is the patents of invention of CN201210454310, disclose a kind of water environment Internet of Things side
Method and device, it is arranged natural water source Internet of Things detector, is configured to include surface water, rivers, underground water, well water, underground river, supervises
Source quality is surveyed, natural clean-up effect is monitored, water environment Internet of Things detector is set, is configured to include: that river, pipeline and water are set
On the monitoring point applied etc., urban water supply Internet of Things detector is arranged, and set-up site includes: drinking water source, work in monitoring flowing water quality
Industry water, water facilities monitor manual purge water quality, and pollution sources Internet of Things detector is arranged, and set-up site includes: pollutant dirt
The mouth of a river, town dweller's sanitary sewage mouth, Industry Waste mouth of a river etc. form sensing layer, that is, internet of things sensors, and network layer includes: wireless
Sensor, wireless network transmissions, data link are transferred to water environment Internet of Things intelligent control center, it passes through cloud computing center
Data processing is carried out, instruction is issued, implements intelligent real-time monitoring water environment, benign Ecology balance is formed, realizes wisdom water ring
Border.
Application No. is the patents of invention of CN201810567829, disclose a kind of Underground Space Environment monitoring network, including
Host node computer (16) connects between the host node computer (16) and multiple sensors of default type for wireless signal
It connects；Multiple sensors of the default type are mounted on the heat distribution pipeline (9) and water supply line being laid in the underground space (100)
(12) in and on the side wall of the underground space；Multiple sensors of the default type are used to acquire the inspection of the corresponding underground space
Measured data.The Underground Space Environment monitoring network that a kind of convenient battery disclosed by the utility model changes the outfit, can be safe and reliable
It ground-to-ground descends the environment of pipe network to carry out comprehensive monitoring, the security risk of underground pipe network can be reduced, guarantee underground pipe network
Safe handling, is conducive to widely apply, be of great practical significance.
In the space environment of subsurface material detection, the variation of the environment such as rain, wind, snow, it is possible that detection temperature is different
Often, when the problems such as humidity is excessive, condensation, the problems such as causing quick aging, the corrosion of electric elements, least favorable situation is to cause
The serious equipment fault such as short circuit, ground fault.
The monitoring system of detection system and its space exploration for integrated intelligent in the prior art, stability and detection
The monitoring of environment becomes particularly important, and then, there is no such monitoring systems in the prior art.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of subsurface material detection monitoring system and detections
Monitoring method, monitoring comprehensively, and can timely reaction monitoring situation, guarantee the stabilization of monitoring environment, to different in environment
It often timely feedbacks, quick lock in abnormal object.
The present invention provides a kind of subsurface materials to detect monitoring method, and sequence includes the following steps:
1) within the scheduled period, detecting parameter data and monitoring data are acquired respectively；
2) the detecting parameter data and monitoring data of acquisition are handled, analyzes detecting parameter data and monitoring number respectively
According to abnormal conditions；
Wherein for the processing of monitoring data, include the following steps:
A) temperature data in the environment of acquisition device subsurface material detection device, humidity data, image data and particle
Corresponding temperature data, humidity data, image data and particle data are grouped by data, i.e., by corresponding acquisition data
It is grouped according to type and size；
B) identical group of data are carried out being packed into data packet, guarantees that each data packet has roughly the same data
Amount；
C) available bandwidth, load and the time delay numerical value for calculating current time communication transfer device, according to available bandwidth, load
Transmission strategy is configured with time delay numerical value, transmission strategy is configured in the inner core of itself and is stored；
D) caching for inquiring previous moment transmits strategy, and the caching of the transmission strategy and previous moment that compare current time passes
Defeated strategy, if transmission rule match, still according to the transmission strategy of previous moment by corresponding acquisition data packet according to right
The output port answered is transmitted, if transmission rule mismatches, is reconfigured new output port and is transmitted；
3) processing is monitored according to abnormal conditions.
Preferably, matching is to calculate matching degree in the following manner in the step d):
Wherein, c is corresponding data count in data packet, F1For the number that identical data occurs, L is identical data appearance
Maximum value then illustrate successful match when matching degree F (x) meets matching condition.
Preferably, the step 3) further include: to multiple by what is be arranged in the monitoring area of underground water detection device
Camera image is handled, and specifically includes:
S1) when there are motive objects, the image data based on shooting focuses motive objects, judges the type of motive objects；
S2) when judging the type of motive objects for people, start the judgement of face recognition:
If it is judged that having the personnel of permission for the environmental area of subsurface material detection, then ignore:
If it is judged that having the personnel of permission for the environmental area of non-subsurface material detection, then alarm；
S3 it) when the type for judging motive objects is not people, then directly alarms.
Preferably, the type of the judgement motive objects is realized by comparing the mode for storing motive objects data in database.
Preferably, processing is carried out to the detecting parameter data of acquisition in the step 2) to include the following steps: to pass through comparison
Interference signal data are added in predetermined period and are added without interference signal data, the analysis of the detecting parameter data acquired respectively
Whether abnormal conditions comply with standard according to the deviation of abnormal conditions, carry out abnormal confirmation.
The present invention also provides a kind of subsurface material detection systems realized using the above method.
A kind of subsurface material detection system of the invention and detection monitoring method, may be implemented:
1) when by being added without and interference signal being added, the comparison of abnormal conditions is complied with standard according to what deviation judged,
The further progress determination of abnormal conditions, accuracy are high and in time, avoid the occurrence of mistake；
2) present invention is set as multiple output ports by communication transfer device, while being configured with corresponding transmission strategy,
It configures and updates transmission strategy in real time according to acquisition data cases, transmission port is utilized to the greatest extent, so that the biography of data
Defeated efficiency significantly improves；
3) it is timely feedbacked extremely in environment, quick lock in abnormal object.
Detailed description of the invention
Fig. 1 is that subsurface material detects monitoring method flow chart；
Fig. 2 is that subsurface material detects detecting parameter flow chart of data processing figure in monitoring method；
Fig. 3 is that subsurface material detects monitoring system schematic diagram.
Specific embodiment
The following detailed description of specific implementation of the invention, it is necessary to it is indicated herein to be, implement to be only intended to this hair below
Bright further explanation, should not be understood as limiting the scope of the invention, and field person skilled in the art is according to above-mentioned
Some nonessential modifications and adaptations that summary of the invention makes the present invention, still fall within protection scope of the present invention.
The present invention provides a kind of subsurface materials to detect monitoring method, and this method can enable to real-time subsurface material
The working condition of detection device and the influence variation of ambient enviroment, can find dangerous in first time.
It as illustrated in the accompanying drawings from 1 to 3, is respectively subsurface material detection monitoring method flow chart, subsurface material detects monitoring method
Middle detecting parameter flow chart of data processing figure and subsurface material detection monitoring schematic diagram.Shown in institute's figure, subsurface material detection device
Monitor portion includes detecting parameter acquisition device and monitoring data collection device.
Wherein detecting parameter data acquisition device is used to be acquired the detecting parameter data of underground substance detecting device,
Such as voltage, electric current, electricity, line loss etc., the main purpose of setting are carried out to the working condition of underground substance detecting device
Monitoring, so as to grasp the working condition of subsurface material detection device in real time, timely finds the problem.Monitoring data collection
Device is for being acquired the environmental data of underground substance detecting device, because having in the environment of subsurface material detection device
It much happens, such as abnormal temperature, humidity variation etc., will cause the security risk of subsurface material detecting devices, also example
As occurred abnormal personnel in the environment and being likely to result in people because the environment of subsurface material detection device is extremely complex and dangerous
Member's injures and deaths and equipment damage, need to monitor the environment of underground substance detecting device in real time in this way, to effectively slap
Ambient conditions is held, quick solution of timely finding the problem.Specifically, monitoring data collection device may include temperature sensing dress
It sets, humidity sensing device, photographic device, particle sensing device, in preferred mode, particle sensing device may include that smog passes
Sensor.Wherein, detecting parameter refers to the detecting parameter of test when subsurface material detection device works, when specifically referring to its work
The parameters such as the voltage, electric current, electricity, the line loss that are measured at itself test point.
For detecting parameter data are acquired, become data acquisition tables after the data summarization of acquisition, by dividing
Analysis tables of data is come the case where analyzing data acquisition.During concrete implementation, detecting parameter data acquisition device is mainly used for
Collection voltages, electric current, electricity, line loss, on this basis, present invention adds the applications and acquisition for interference signal, with reality
Now further verification process.Specifically, the detecting parameter data acquired within certain sampling period are constituted data first
Matrix stack, i.e. D=[D1, D2, D3, D4, P1], wherein D1-D4Respectively represent voltage, electric current, electricity, line loss data, P1It represents and corresponds to
The interference signal data of addition, it should be noted that normal data sampling instant (be added without interference signal data when
Carve), corresponding P1It can be 0, be ignored.Secondly, for identical detection environment, collected detecting parameter data can be
Fluctuation in certain range, therefore in the case where no addition interference signal, it is carried out after being acquired to detecting parameter data
The abnormal data more than the first noise threshold is rejected in denoising.Later, respectively to D1, D2, D3, D4In data be averaged
The calculating of value obtains corresponding average value d1, d2, d3, d4, then by D1, D2, D3, D4In data D1(i), D2(i), D3(i),
D4(i) respectively with d1, d2, d3, d4Subtract each other, obtains corresponding deviation Δ d1(i), Δ d2(i), Δ d3(i), Δ d4(i)；According to
By deviation Δ d1(i), Δ d2(i), Δ d3(i), Δ d4(i) size is respectively set multiple deviation ranges, deviation is fallen
Enter the correspondence D in deviation range1, D2, D3, D4In data be divided into one group, then D1, D2, D3, D4Each of corresponding data
Deviation range, which is fallen into, all in accordance with its deviation is divided into corresponding group, i.e. Dj=[a1..., am], wherein j=1,2,3,4, m for pair
The packet count answered, i be corresponding data number, j=1,2,3,4.
After being grouped, each group of data is normalized, is specifically calculated as follows:
Wherein, corresponding amIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (am) it is pair
Should the variances of data in group can directly be calculated in this way without dimension is considered the problems of.
After being normalized, then P=can be passed through to the calculated value configuration association factor-beta after normalized
The P value of corresponding group is calculated in ∑ β a, by judging that it is abnormal that the deviation of P value and reference value judges whether to occur.It should be noted that
, association factor β can carry out option and installment according to abnormal conditions, and be adjusted according to the actual situation.
On this basis, present invention adds the applications and acquisition for interference signal, to realize further verifying
Process.After processing in the case where having carried out that interference signal is not added, preset interference signal is added, i.e., corresponding P1No
It is 0.So reconstitute the detecting parameter data acquired within certain sampling period and constitutes data matrix collection, i.e. D=[D1,
D2, D3, D4, P1], wherein D1-D4Voltage, electric current, electricity, line loss data are respectively represented, P1 represents the corresponding interference signal being added
Data.Secondly, collected detecting parameter data can fluctuate in a certain range for identical detection environment, it is being added
In the case where interference signal, detecting parameter data can generate similar data variation, and because interference signal is to realize setting,
The rule of its data variation is expected.Then, it to denoising is carried out after being acquired with detecting parameter data, rejects
More than the abnormal data of the second noise threshold.Later, respectively to D1, D2, D3, D4In data carry out average value calculating, obtain
Corresponding average value d1, d2, d3, d4, then by D1, D2, D3, D4In data D1(i), D2(i), D3(i), D4(i) respectively with d1,
d2, d3, d4Subtract each other, obtains corresponding deviation Δ d1(i), Δ d2(i), Δ d3(i), Δ d4(i)；According to by deviation Δ d1
(i), Δ d2(i), Δ d3(i), Δ d4(i) size is respectively set multiple deviation ranges, deviation is fallen into deviation range
Correspondence D1, D2, D3, D4In data be divided into one group, then D1, D2, D3, D4Each of corresponding data all in accordance with its deviation
Value falls into deviation range and is divided into corresponding group, i.e. Dj=[a1..., am], wherein j=1,2,3,4, m be corresponding packet count, i
For corresponding data number, j=1,2,3,4.
After being grouped, each group of data is normalized, is specifically calculated as follows:
Wherein, corresponding amIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (am) it is pair
Should the variances of data in group can directly be calculated in this way without dimension is considered the problems of.
After being normalized, then P=can be passed through to the calculated value configuration association factor-beta after normalized
The P value of corresponding group is calculated in ∑ β a.At this point, interference signal is added and is without the P value calculated result of addition interference signal
Different, but because interference signal is expected addition, corresponding difference value is the calculating that can be standardized, because
This, will be added twice interference signal and the P value that interference signal is not added be compared, if deviation complies with standard twice,
Carry out abnormal confirmation.
For the acquisition of monitoring data, monitoring data collection device may include temperature sensing device, humidity sensor
Device, photographic device, particle sensing device, in preferred mode, particle sensing device may include smoke sensor device.For prison
Control the acquisition of data, it usually needs acquired in real time.Moreover, therefore acquisition is a continuous process in real time, largely
Data needs be acquired, when data volume load is excessive, it may appear that transmission blocking, i.e. efficiency of transmission decline or lose
The case where mistake, occurs.The present invention is by by temperature sensing device, humidity sensing device, photographic device, and particle sensing device is corresponding
Acquisition data be grouped, i.e., by temperature sensing device, humidity sensing device, photographic device, particle sensing device is corresponding
Acquisition data are handled in a data processor, are grouped corresponding acquisition data according to type and size after processing,
Identical group of data are carried out to be packed into data packet, this ensure that each data packet has roughly the same data volume, together
When processing module calculate current time communication transfer device available bandwidth, load and time delay numerical value, according to available bandwidth, load
Transmission strategy is configured with time delay numerical value, transmission strategy is configured in the inner core of itself and is stored.Then, previous moment is inquired
Caching transmit strategy, compare current time transmission strategy and previous moment caching transmission strategy, if transmission rule
Match, then still transmit corresponding acquisition data packet according to corresponding output port according to the transmission strategy of previous moment,
If transmission rule mismatches, reconfigures new output port and transmitted.Specifically, matching is to count in the following manner
Calculate matching degree:
Wherein, c is corresponding data count in data packet, F1For the number that identical data occurs, L is identical data appearance
Maximum value then illustrate successful match when matching degree F (x) meets matching condition.The present invention is arranged by communication transfer device
For multiple output ports, while it being configured with corresponding transmission strategy, configures and update transmission in real time according to acquisition data cases
Strategy utilizes transmission port, so that the efficiency of transmission of data significantly improves to the greatest extent.
After data pass through packet transaction, transmitted according to transmission strategy to main controller, so that data are with parallel and efficient side
Formula is quickly transferred to middle control machine and is monitored.
Environment locating for subsurface material detection device is extremely complex and dangerous, and occurring abnormal personnel in the environment may
It causes casualties and equipment damage, needs to monitor the environment of underground substance detecting device in real time in this way, to have
The grasp ambient conditions of effect, quick solution of timely finding the problem.The present invention is also by the optimization design of photographic device, to underground
The image data of the environment of substance detecting device carries out processing analysis, not only energy saving, and can quickly found the abnormal situation,
It is fed back in real time.In the following, this mode is further detailed.
Photographic device includes multiple cameras, wherein guaranteeing adjacent for the environmental area of subsurface material detection device
There are the shooting area of intersection in two camera times.By the environmental area of camera captured in real-time subsurface material detection device,
Environmental area is monitored, when there is motive objects (such as people, animal, object etc.), motive objects image data is acquired, is based on
Motive objects image data focuses motive objects, judges the type of motive objects, such as people, animal, object etc., wherein specific judgement side
Formula can be obtained by comparing the mode for storing motive objects data in database.When judging the type of motive objects for people, starting
The judgement of face recognition is then ignored if it is judged that having the personnel of permission for environmental area, if it is judged that being acyclic
There are the personnel of permission then to alarm in border region；If the type of motive objects is not people, directly alarm.In this way, for environment
The case where environment in region can monitor in real time, prevent abnormal destruction generation.
Embodiment one:
Below during a specific full implementation, further the present invention will be described.Specifically implementing
Subsurface material detection system and detection monitoring method, sequence include the following steps: in mode
1) in the predetermined period for being added without interference signal data, the acquisition of detecting parameter data and monitoring number are acquired respectively
According to；
2) the detecting parameter data acquired when being added without interference signal data are handled, comprising:
(2.1) data acquisition tables will be formed after the detecting parameter data summarization of acquisition；
(2.2) abnormal conditions that the acquisition of table analysis data occurs are acquired by analysis data:
3) in the same predetermined period that interference signal data are added, the acquisition of detecting parameter data and monitoring number are acquired respectively
According to；
4) the detecting parameter data acquired when interference signal data are added are handled, comprising:
(4.1) data acquisition tables will be formed after the detecting parameter data summarization of acquisition；
(4.2) abnormal conditions that the acquisition of table analysis data occurs are acquired by analysis data:
5) comparison step 2) and 3) in analytical calculation obtains respectively abnormal conditions, if the deviation of abnormal conditions meets mark
Standard then carries out abnormal confirmation.
2. monitoring method as described in claim 1, it is characterised in that: adopted in the step (2.2) by analyzing data
Collect the abnormal conditions that the acquisition of table analysis data occurs, specifically:
2.2.1 the detecting parameter data acquired within a predetermined sampling period) are constituted into data matrix collection, i.e. D=[D1, D2,
D3, D4, P1], wherein D1-D4Respectively represent voltage, electric current, electricity, line loss data set, P1Represent the collection of interference signal data
It closes；
2.2.2 denoising) is carried out to detecting parameter data, rejects the abnormal data more than the first noise threshold；
2.2.3) respectively to D1, D2, D3, D4In data carry out average value calculating, obtain corresponding average value d1, d2,
d3, d4, then by D1, D2, D3, D4In corresponding data D1(i), D2(i), D3(i), D4(i) respectively with d1, d2, d3, d4Subtract each other, obtains
To corresponding deviation Δ d1(i), Δ d2(i), Δ d3(i), Δ d4(i)；
2.2.4) according to deviation Δ d1(i), Δ d2(i), Δ d3(i), Δ d4(i) multiple deviations are respectively set in size
Deviation is fallen into corresponding D in corresponding deviation range by range1, D2, D3, D4In data be divided into one group, i.e. Dj=[a1...,
am], wherein j=1,2,3,4, m be corresponding packet count, and i is corresponding data number；
2.2.5) after being grouped, each group of data is normalized, is specifically calculated as follows:
Wherein, corresponding amIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (am) it is pair
Should data in group variance；
2.2.6) to the calculated value configuration association factor-beta after normalized, P value is calculated by P=∑ β a, is led to
It crosses and judges that the deviation of P value and reference value judges whether exception occur.
The association factor β carries out option and installment according to abnormal conditions and is adjusted according to the actual situation.
The abnormal conditions that the acquisition of table analysis data occurs are acquired by analysis data in the step (4.2), specifically:
4.2.1) reconstitute the data matrix collection of the detecting parameter data acquired in same predetermined period, i.e. D=
[D1, D2, D3, D4, P1], wherein D1-D4Respectively represent voltage, electric current, electricity, line loss data set, P herein1Represent corresponding add
The interference signal data acquisition system entered；
4.2.2 denoising) is carried out to the detecting parameter data acquired when interference signal data are added, is rejected more than second
The abnormal data of noise threshold；
4.2.3) respectively to D1, D2, D3, D4In data carry out average value calculating, obtain corresponding average value d1, d2,
d3, d4, then by D1, D2, D3, D4In corresponding data D1(i), D2(i), D3(i), D4(i) respectively with d1, d2, d3, d4Subtract each other, obtains
To corresponding deviation Δ d1(i), Δ d2(i), Δ d3(i), Δ d4(i)；
4.2.4) according to deviation Δ d1(i), Δ d2(i), Δ d3(i), Δ d4(i) multiple deviations are respectively set in size
Deviation is fallen into corresponding D in corresponding deviation range by range1, D2, D3, D4In data be divided into one group, i.e. Dj=[a1...,
am], wherein j=1,2,3,4, m be corresponding packet count, and i is corresponding data number；
4.2.5) after being grouped, each group of data is normalized, is specifically calculated as follows:
Wherein, corresponding amIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (am) it is pair
Should data in group variance；
4.2.6) to the calculated value configuration association factor-beta after normalized, P value is calculated by P=∑ β a.
Comparison step 2 in the step (5)) and 3) in analytical calculation obtains respectively abnormal conditions, if abnormal conditions
Deviation comply with standard, then carry out abnormal confirmation, specifically: by comparing interference signal being added and that interference signal is not added
The calculated result of P value carries out abnormal confirmation if deviation complies with standard twice.
Although for illustrative purposes, it has been described that exemplary embodiments of the present invention, those skilled in the art
Member it will be understood that, can be in form and details in the case where the scope and spirit for not departing from invention disclosed in appended claims
On the change that carry out various modifications, add and replace etc., and all these changes all should belong to appended claims of the present invention
Protection scope, and each step in the claimed each department of product and method, can in any combination
Form is combined.Therefore, to disclosed in this invention the description of embodiment be not intended to limit the scope of the invention,
But for describing the present invention.Correspondingly, the scope of the present invention is not limited by embodiment of above, but by claim or
Its equivalent is defined.
Claims (5)
1. a kind of subsurface material detects monitoring method, which is characterized in that sequence includes the following steps:
1) within the scheduled period, detecting parameter data and monitoring data are acquired respectively；
2) the detecting parameter data and monitoring data of acquisition are handled, analyzes detecting parameter data and monitoring data respectively
Abnormal conditions；
Wherein for the processing of monitoring data, include the following steps:
A) temperature data in the environment of acquisition device subsurface material detection device, humidity data, image data and particle data,
By corresponding temperature data, humidity data, image data and particle data are grouped, i.e., by corresponding acquisition data according to class
Type and size are grouped；
B) identical group of data are carried out being packed into data packet, guarantees that each data packet has roughly the same data volume；
C) calculate current time communication transfer device available bandwidth, load and time delay numerical value, according to available bandwidth, load and when
Prolong numerical value configuration transmission strategy, transmission strategy is configured in the inner core of itself and is stored；
D) caching for inquiring previous moment transmits strategy, compares the transmission strategy at current time and the caching transmission plan of previous moment
Slightly, if transmission rule match, still according to the transmission strategy of previous moment by corresponding acquisition data packet according to corresponding
Output port is transmitted, if transmission rule mismatches, is reconfigured new output port and is transmitted；
3) processing is monitored according to abnormal conditions.
2. matching is to calculate matching degree in the following manner in the step d):
Wherein, c is corresponding data count in data packet, F1For the number that identical data occurs, L is that identical data occurs most
Big value, when matching degree F (x) meets matching condition, then illustrates successful match.
3. monitoring method as described in claim 1, it is characterised in that: the step 3) further include: to by being visited in underground water
The multiple camera images processing being arranged in the monitoring area of device is surveyed, specifically includes:
S1) when there are motive objects, the image data based on shooting focuses motive objects, judges the type of motive objects；
S2) when judging the type of motive objects for people, start the judgement of face recognition:
If it is judged that having the personnel of permission for the environmental area of subsurface material detection, then ignore；
If it is judged that having the personnel of permission for the environmental area of non-subsurface material detection, then alarm；
S3 it) when the type for judging motive objects is not people, then directly alarms.
4. monitoring method as claimed in claim 3, it is characterised in that: the type of the judgement motive objects is by comparing database
The mode of middle storage motive objects data is realized.
5. the monitoring method as described in claim 1 or 3 or 5, it is characterised in that: to the detecting parameter of acquisition in the step 2)
Data carry out processing and include the following steps: by comparing the addition interference signal data in predetermined period and being added without interference signal
Whether data, the analysis abnormal conditions of the detecting parameter data acquired respectively, comply with standard according to the deviation of abnormal conditions, carries out
Abnormal confirmation.
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