CN104235617B - Pipeline leakage emergency instruction self-decision making system based on monitoring network - Google Patents
Pipeline leakage emergency instruction self-decision making system based on monitoring network Download PDFInfo
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Abstract
The invention discloses a pipeline leakage emergency instruction self-decision making system based on a monitoring network. The pipeline leakage emergency instruction self-decision making system based on the monitoring network comprises a monitoring terminal, a collector and a server, wherein the monitoring terminal comprises a leakage monitor, a flow velocity monitor, a flow rate monitor, an air condition monitor and an oil film thickness monitor; the collector is used for connecting with each of the monitors of the monitoring terminal, collecting an oil liquid leakage parameter, an environmental parameter and an oil film thickness parameter; the server is used for importing the oil liquid leakage parameter, the environmental parameter and the oil film thickness parameter into an improved Fay model, an improved Navy model, a Fingas evaporation equation and a Lagergren secondary adsorption speed equation for calculation, so that the diffusion parameter of the oil film is obtained.
Description
Technical field
The present invention relates to pipe leakage emergency processing field, more particularly, to a kind of pipe leakage based on monitoring net is emergent to be referred to
Make self-decision system.
Background technology
Trans-regional national pipeline transportation pipe network has become the most important passage of China's energy conveying, plays and cannot replace
The supporting role in generation.But up to ten thousand kilometers of long distance pipeline is unavoidable needs river crossing.The various pipeline river of quantity
Pass through a little and the frequent leakage occurring causes great risk of environmental pollution to water body, make pipeline emergency be faced with huge choosing
War.Under the accident state of emergency, formulate the key that quick, reasonable, effective Emergency decision is that accident emergency rescues success or failure.Success
Emergency decision include reasonably judging leakage rate and oil film thickness, follow the trail of and report oil head position in time, accurately choose and enclose
Control position (oil fence installation position), rational selection contain equipment etc..
But, the Emergency decision of existing pipe leakage is substantially to rely on subjective judgment and manual decision it is impossible to ensure
Decision-making promptness and accuracy, the slow and consequence of the rescue that causes the accident serious.Moreover, leakage accident situation often ten
Divide complexity, hydrologic condition and leakage parameters to change quickly, the decision information of needs adjusts renewal in time, and quantity of information is very big, rely on
Traditional mode cannot acquisition real-time live information promptly and accurately, more cannot ensure the trustworthiness of manual decision.
Content of the invention
Present invention aim at providing a kind of pipe leakage based on monitoring net to meet an urgent need instruct self-decision system, can be more accurate
Really and timely obtain the field data of pipe leakage, improve the quick ability processing pipe leakage.
Embodiments provide a kind of pipe leakage based on monitoring net emergent instruction self-decision system, including：Prison
Survey terminal, harvester server, wherein；
Described monitoring terminal includes leak detector, flow monitor, flow monitor, wind as monitor and oil film thickness
Monitor, wherein, described leak detector is arranged on described pipeline, for gathering the oil liquid leakage parameter of described pipeline；Institute
State flow monitor, described flow monitor and described wind as, in monitor is arranged on river course corresponding with described pipeline, being used for
Collection ambient parameter；Described oil film thickness monitor is arranged on contains receipts oil drop, for gathering oil film thickness in described river course
Parameter；
Harvester, for being connected with each of described monitoring terminal monitor, the described leak detector of collection sends
Described oil liquid leakage parameter, gather described flow monitor, institute that described flow monitor and described wind send as monitor
State ambient parameter, and the described oil film thickness parameter that the described oil film thickness monitor of collection sends；
Described server, for receiving described oil liquid leakage parameter, described ambient parameter and the institute that described harvester sends
State oil film thickness parameter, and described oil liquid leakage parameter, described ambient parameter and described oil film thickness parameter are imported improvement Fay
Model, improvement Navy model, Fingas evaporation equation and Lagergren secondary absorption rate equation enter row operation, obtain oil film
Diffusion parameter.
Optionally, described improvement Fay model is specially：
ds=ω σs
dn=ω σn
σs=0.001t1.17
Ds=keq(df+ds)
Dn=keq(df+dn)
A=d × D
Wherein, s represents the long axis direction of oil film；N represents oil film short-axis direction；dsFor represent oil film s direction from
Body extends yardstick, dnFor representing itself extension yardstick in n direction for the oil film, ω is proportionality coefficient, σsFor representing oil film in s
The quality mean square deviation in direction, σnFor representing the quality mean square deviation in n direction for the oil film, A ' is used for the film area monitoring, k uses
In the attenuation quotient representing oil spilling volatilization and degraded, hkFor representing the minimum oil film thickness in the oil film thickness monitoring, A uses
In the real area representing oil film, keq is scale factor, for representing the reduction process of greasy dirt scope and when oil film disappears
Between, DsFor representing the major axis yardstick in s direction for the oil film, DnFor representing the short axle yardstick in n direction for the oil film, s-n coordinate is turned
It is changed into x-y, obtain oval maximum of points in x-axis, downstream is moved to apart from D by the oil film that oil slick spread leads to,
If DnMore than the river width in described river course, then A=d × D.
Optionally, described improvement Navy model is specially：
Wherein, k1For representing the surface drift coefficient in described river course,Surface for representing described river course is flowed
Speed, k2For representing wind drift coefficient corresponding with described river course,For representing wind speed corresponding with described river course；
If flow rate of water flow and wind speed are not changed in oil spilling response time,
In conjunction with the result of calculation of oil slick spread step simulations, oil film can be obtained migrate to downstream apart from L be：
Optionally, described Lagergren secondary absorption rate equation is specially：
Wherein, qtFor represent oil film adsorption time when adsorbance, k is used for representing secondary absorption speed constant, qeWith
In the equilibrium adsorption capacity representing oil film, t is used for express time；
According to above-mentioned formula, the shoreline attachment amount then obtaining oil spilling is：
Qt=qt×L×ΔH
Wherein, Δ H is used for representing the riverbank thickness range of oil spill, and L is used for representing the water front length of oil spill.
Optionally, described Fingas evaporation equation is specially：
Vaporization=[0.165 (%D)+0.045 (T-15)] lnt
Wherein, %D is used for representing mass fraction during 180 DEG C of distillations, and T is used for representing oil product temperature, and oil spilling evaporation capacity is：
Qvam=E × V`.
Optionally, the diffusion parameter of described oil film includes oil slick spread area, migration distance, evaporation capacity, adsorbance and residual
Trapped fuel amount, wherein, described residual oil amount is specially：Qnow=V-Qt-Qvam
Wherein, QnowFor representing existing oil mass, V is used for representing oil spilling volume, QtFor representing shoreline attachment amount, QvamWith
In expression oil spilling evaporation capacity.
Optionally, described system also includes：User instruction terminal, described server is used for the diffusion ginseng according to described oil film
Number, corresponding control instruction is sent to described user instruction terminal；
Described user instruction terminal, for receiving the described control instruction that described server sends, and adopts and described control
System instructs corresponding processing scheme.
By an embodiment or multiple embodiment, the invention has the advantages that or advantage：
Due to oil liquid leakage parameter during pipe leakage, environment ginseng being obtained in real time by monitoring terminal in the embodiment of the present application
Number and oil film thickness parameter, and above-mentioned parameter are transmitted to server by harvester, and then described server is by described fluid
Leakage parameters, described ambient parameter and described oil film thickness parameter import to be improved Fay model, improves Navy model, Fingas steaming
Originating party journey and Lagergren secondary absorption rate equation enter row operation, obtain the diffusion parameter of oil film, enabling more accurately and
Timely obtain the field data of pipe leakage, improve rapid-action ability.
Brief description
Fig. 1 is to meet an urgent need based on the pipe leakage of monitoring net in the embodiment of the present invention to instruct the first structure of self-decision system
Schematic diagram；
Fig. 2 is to meet an urgent need based on the pipe leakage of monitoring net in the embodiment of the present invention to instruct the second structure of self-decision system
Schematic diagram.
The relevant reference of in figure is as follows：
10 monitoring terminals, 11 leak detectors, 12 flow monitors, 13 flow monitors,
14 wind as monitor, 15 oil film thickness monitors, 20 harvesters, 30 servers, 40 users refer to
Make terminal.
Specific embodiment
Present invention aim at providing a kind of pipe leakage based on monitoring net to meet an urgent need instruct self-decision system, can be more accurate
Really and timely obtain the field data of pipe leakage, improve the quick ability processing pipe leakage.
Below in conjunction with the accompanying drawings principle, specific embodiment and its correspondence are realized to the main of embodiment of the present invention technical scheme
The beneficial effect that can reach is set forth in.
One embodiment of the invention provides a kind of pipe leakage based on monitoring net emergent instruction self-decision system, referring to figure
1, including：Monitoring terminal 10, harvester 20 server 30, wherein；
Monitoring terminal 10 includes leak detector 11, flow monitor 12, flow monitor 13, wind as monitor 14 and oil
Film thickness monitor 15, wherein, leak detector 11 is arranged on described pipeline, and the oil liquid leakage for gathering described pipeline is joined
Number；Flow monitor 12, flow monitor 13 and wind are as, in monitor 14 is arranged on river course corresponding with described pipeline, being used for adopting
Collection ambient parameter；Oil film thickness monitor 15 is arranged on contains receipts oil drop, for gathering oil film thickness parameter in described river course；
Harvester 20, for being connected with each of monitoring terminal 10 monitor, collection leak detector 11 sends
Described oil liquid leakage parameter, the described environment ginseng that collection flow monitor 12, flow monitor 13 and wind send as monitor 14
Number, and the described oil film thickness parameter that collection oil film thickness monitor 15 sends；
Server 30, for receiving described oil liquid leakage parameter, described ambient parameter and the described oil of harvester 20 transmission
Film thickness parameter, and described oil liquid leakage parameter, described ambient parameter and described oil film thickness parameter are imported improvement Fay mould
Type, improvement Navy model, Fingas evaporation equation and Lagergren secondary absorption rate equation enter row operation, obtain oil film
Diffusion parameter.
Wherein, leak detector 11 can be the Fibre Optical Sensor of the sonic sensor or pipeline being arranged on pipeline
Whether device, every such as 50 meters of a segment distance, all can install a leak detector for 20 meters etc., occur for real-time monitoring pipeline
Leakage, when pipeline occurs leakage, for gathering the oil liquid leakage parameter of described pipeline.
Next, flow monitor 12, flow monitor 13 and wind are the monitor group being arranged in river course as monitor 14
Close, flow to every 5km-10km along river course and arrange one group, wherein, in the combination of each monitor, at least include a flow monitoring
Device, a flow monitor and a wind are as monitor.
Further, oil film thickness monitor 15 can be the sensor of interim setting, be laid in described in contain receipts oil drop
Real-time monitoring oil recovery situation, and be used for gathering oil film thickness parameter.
Specifically, leak detector 11, for when monitoring pipeline generation leakage, being reported to the police；Flow monitor 12, stream
Amount monitor 13 and wind separately detect real time leak field data as monitor 14, and wherein, water volume flow rate monitoring 12 detects described
The flowing velocity of the water body in the river course and leakage oil film of fluid in described river course；Flow monitor 13, can be also used for
Detect flow and then the assessment as leakage rate that oil film thickness calculates oil film with reference to preset information such as river width etc.；And
Wind is located above described river course the wind image informations such as monitoring wind speed, wind direction as monitor cloth 14, so so that described ambient parameter bag
Include water body and the flowing velocity of the oil film of fluid leaking in described river course, the flow of described oil film, the wind speed in described river course
Information and wind direction information；Oil film thickness monitor 15 contains, described in being laid in, the change that a real-time detection carries out oil film thickness with recovery
Change process.
In specific implementation process, harvester 20 can be single-chip microcomputer or embedded chip, for monitoring terminal 10 in
Each monitor be connected it is possible to pretreatment is carried out to data gather from each watch-dog, then pass through wirelessly or
, by pretreated data transfer to server 30, server 30 is used for receiving harvester 20 and sends for wired or satellite communication mode
Described oil liquid leakage parameter, described ambient parameter and described oil film thickness parameter, and by described oil liquid leakage parameter, described ring
Border parameter and described oil film thickness parameter import improve Fay model, improve Navy model, Fingas evaporation equation and
Lagergren secondary absorption rate equation enters row operation, obtains the diffusion parameter of oil film.
Wherein, described improvement Fay model is specially：
Due to the presence of wind field and current, particularly ephemeral stream, when the wet season, flow action accounts for leading factor,
Think that oil film is in oval row before tactile bank, behind tactile river two sides bank, oil film shape is consistent with river shape, as strip, wide
The equivalent river width of degree.
Represent under the effect of wind pluck with s, the long axis direction of oil film, it is identical with wind direction；Oil film short axle side is represented with n
To：
ds=ω σsFormula (1)
dn=ω σnFormula (2)
In formula (1) and formula (2)：
dsFor representing itself extension yardstick in s direction for the oil film, dnFor representing itself extension chi in n direction for the oil film
Degree；
ω is used for representing proportionality coefficient, takes 121/2；
σsFor representing the quality mean square deviation in s direction for the oil film, σnFor representing the quality mean square deviation in n direction for the oil film.
Lead to oil film quality approximate normal distribution, oil film diameter further according to summarizing some Through observation data in situ it is believed that spreading
It is directly proportional to quality mean square deviation.Under the conditions of isotropic, oil film peripheral limit is held round, and can measure oil film by diameter
Scope, the oil film diameter drawing is only relevant with the time, therefore, σsCorresponding formula is：
σs=0.001t1.17Formula (3)
Formula (4)
The film area that can observe is calculated as follows：
Formula (5)
The film area that can observe is calculated as follows：
In formula (5)：
A ' is used for representing the film area that can observe, and unit is m2；
K is used for representing the attenuation quotient of the volatilization of combined reaction oil spilling and degraded, typically takes 0.5 (1/d)；
hkFor representing the minimum thickness of Observable oil film, typically take 10-4Mm～10-3Mm, this model takes 5 × 10-4mm.
A is used for representing the real area of oil film, and unit is m2, calculate by formula (6)：
Formula (6)
Keq is scale factor, increase in time and reduce, reacted the reduction process of greasy dirt scope and oil film disappeared
Time, keq value, from 1 to 0, is calculated by formula (7)：
Formula (7)
Oil film is in the major axis yardstick D in s directionsRepresent, calculate by formula (8)：
Ds=keq(df+ds) formula (8)
The short axle yardstick in n direction for the oil film is DnRepresent, calculate by formula (9)：
Dn=keq(df+dn) formula (9)
Finally s-n coordinate transformation is x-y, obtains oval maximum of points in x-axis, led to by oil slick spread
Oil film move to downstream apart from D, if DnMore than the river width in described river course, then A=d × D formula (10).
Secondly, described improvement Navy model is specially：
The simulation of Drift Process, using the Navy model simplifying, is from upstream to downstream for ordinary river flow direction,
Direction is fixed, and obtains formula (11) the oil spilling barycenter elapsed timeDisplacement afterwards is：
Formula (11)
In formula (11)：
k1For representing the surface drift coefficient in described river course, this model takes 1.15；
For representing the surface velocity in described river course；
k2For representing wind drift coefficient corresponding with described river course, this model takes 0.025；
For representing wind speed corresponding with described river course.
If flow rate of water flow and wind speed are not changed in oil spilling response time,
Formula (12)
In conjunction with the result of calculation of oil slick spread step simulations, oil film can be obtained migrate to downstream apart from L be：
Formula (13).
Further, because the water surface is affected by factors such as waves or physical features, oil film will be with certain thickness bank medium
There is adsorption so that described Lagergren secondary absorption rate equation is specially：
Formula (14)
In formula (14)：
qtFor represent oil film adsorption time when adsorbance, unit be mL/cm2；
K is used for representing secondary absorption speed constant, and unit is mL/ (cm2×min)；
qeFor representing the equilibrium adsorption capacity of oil film, unit is mL/cm2；
T is used for express time, and unit is the second (s)；
According to formula (11), the shoreline attachment amount then obtaining oil spilling is：
Qt=qt× L × Δ H formula (15)
In formula (15),
Δ H is used for representing the riverbank thickness range of oil spill, and unit is m2；
L is used for representing the water front length of oil spill, and unit is rice (m).
Further, the direct evaporation equation from distillation data calculating of Fingas proposition is：
Vaporization=[0.165 (%D)+0.045 (T-15)] lnt formula (16)
In formula (16),
%D is used for representing mass fraction during 180 DEG C of distillations；
T is used for representing oil product temperature, and unit is degree Celsius (DEG C).
Wherein, oil spilling evaporation capacity is：Qvam=E × V` formula (17).
Finally carry out remaining fuel contents gauge calculation, specially：
Calculate existing oil mass demand and go out the total leakage rate of oil product and shoreline attachment amount, the difference of oil evaporation amount：
Qnow=V-Qt-QvamFormula (18)
In formula (14)：
QnowFor representing existing oil mass, unit is m3；
V is used for representing oil spilling volume, and unit is m3；
QtFor representing shoreline attachment amount, unit is m3；
QvamFor representing oil spilling evaporation capacity, unit is m3.
Specifically, described oil liquid leakage parameter, described ambient parameter and described oil film thickness parameter are imported by server 30
Improve Fay model, improvement Navy model, Fingas evaporation equation and Lagergren secondary absorption rate equation and enter row operation, obtain
Take the diffusion parameter of described oil film, wherein, the diffusion parameter of described oil film include oil slick spread area, migration distance, evaporation capacity,
Adsorbance and remaining oil mass, wherein, described residual oil measurer body can be can be calculated by formula (18), wherein, server 30
Can be for example the electronic equipments such as desktop computer, notebook computer.
Specifically, described system can also include user instruction terminal 40, and server 30 is used for the expansion according to described oil film
Scattered parameter, generates fixed control instruction, and described corresponding control instruction is sent to user instruction terminal 40, and user instruction is eventually
After end 40 receives the described control instruction of server 30 transmission, and adopt processing scheme pair corresponding with described control instruction
Described pipe leakage is processed, and because server 30 more can accurately and timely obtain the field data of pipe leakage, makes
Obtain user's command terminal 40 and also can receive control instruction in time and quickly, then by described control instruction, Neng Gouji
When and quickly leakage accident is processed so that processing scheme can be more preferably also more accurately to described pipe leakage at
Reason, wherein, user instruction terminal 40 can be for example the electronic equipments such as smart mobile phone, panel computer.
In actual application, referring to Fig. 2, a kind of pipe leakage based on monitoring net is met an urgent need and is instructed self-decision system,
This system body includes four parts, is stereoscopic monitoring net respectively, communication system, decision system software and user instruction terminal.
Wherein, stereoscopic monitoring net by leak detector, flow monitor, flow monitor, wind as monitor, oil film thickness
Monitor data collecting unit forms, and wherein, leak detector is around the sonic sensor or body being arranged on pipeline
Fibre Optical Sensor；Flow monitor, flow monitor, wind are the monitor combination being arranged in river course as monitor, along the river
Road flows to every 5km-10km and arranges one group；Oil film thickness monitor is temporary sensory device, is laid in and contains receipts oil drop real-time monitoring
Oil recovery situation；Each monitor or monitor group one data acquisition unit of supporting laying are carried out to the Monitoring Data detecting
Pretreatment, passes through communications system transmission, data acquisition unit can be single-chip microcomputer or embedded chip, can increase as needed afterwards
Add deduct few monitor types and quantity.
Further, leak detector can be for being arranged on the sonic sensor on pipeline or the Fibre Optical Sensor around body
Device, detects pipeline leakage signal and realizes warning function；Flow monitor, flow monitor, wind separately detect as monitor in real time
Leak scene information, wherein flow monitor detect the flowing velocity of water body and oil film, and flow monitor detects oil film thickness knot
Close flow and then the assessment as leakage rate that preset information such as river width etc. calculates oil film, wind is laid in river as monitor
The wind image information such as monitoring wind speed, wind direction above road；Oil film thickness monitor is laid in be contained a real-time detection and carries out oil with recovery
The change procedure of film thickness, data acquisition unit gathers the signal of monitor and passes through communications system transmission, wherein, communication system
Satellite communication or radio communication can be taken.
Decision system software is a kind of software system based on computer hardware and software, including data acquisition module, GIS
Background data base, data backstage computing module and decision instruction module, wherein, data collecting module collected communication system transmits
Data message, and by information Store to GIS background data base, data backstage computing module calls automatically from GIS background data base
Prestore and real time data is simulated computing, result shows in decision instruction module, decision instruction module is from trend user simultaneously
Command terminal issues decision instruction.
GIS background data base prestores and gathers the real time data of storage and can include hydrographic information, weather information and leakage
Oil product information, wherein, described hydrographic information include flow velocity, water temperature, stream shape and trend, bank vegetation, along the river building,
Bridge, sewage draining exit, river sink information etc.；Described weather information includes wind speed information and wind direction information etc.；Described leakage oil product
The information such as packet oil scraper film thickness, oil head position, oily flow, yield and residual oil film thickness.
User instruction terminal includes instruction feedback module and command reception module, and described instruction feedback module realizes user's handss
Trend decision system software feed back on-site information, is corrected to decision system software；Described command reception module receives and is derived from
The instruction of decision system software, and the decision instruction of guidance action is particularly shown on user instruction terminal.
The described pipe leakage based on monitoring net emergent instruction self-decision systematic simulation calculation process is as follows：System initialization
Start each several part element, each monitoring device collects data communication to self-decision system, and data collecting module collected stores number
Call desired data according to, data backstage computing module, import model, by improved Fay model, improved Navy model,
Fingas evaporation equation, Lagergren secondary absorption rate equation simulation trial, specifically by gathered data substitute into formula (1)～
Enter row operation in formula (18), obtain the diffusion parameter of oil film, wherein, the diffusion parameter of described oil film includes oil slick spread face
Long-pending, migration distance, evaporation capacity, adsorbance, remaining oil mass etc..
Carry out laboratory small-scale test simulation in the present embodiment, the pipe leakage based on monitoring net is met an urgent need and instructs self-decision
System is laid in the simulating riverway of wide 3m, and simulation flow velocity is 0.3m/s, and the depth of water is 1.5m, and leak detector adopts sound wave to sense
Device, communication system is WLAN communication module.Artificially give one signal of leak detector, after warning of setting out, the spontaneous startup of system, rings
＜ 2s between seasonable.Pour down or forth 5KG crude oil in river course, the rapid extension of oil film finishes the drift of tailing edge river course.Monitor monitors oil film
Flow velocity 0.28m/s, oil film thickness 1.6um, wind speed is 0.05m/s (being considered as calm situation).After data acquisition unit gathered data
Pass in software system by communication system, software system record, response time ＜ 1s.After system-computed, instruction is as follows：Use
Oil fence ＜ 10m, using asphalt felt ＜ 3.Analog result shows, this system components coordinate well, and working condition is good, energy
Enough effectively work in the state of accident.
By an embodiment or multiple embodiment, the invention has the advantages that or advantage：
One, due in the embodiment of the present application by monitoring terminal obtain in real time oil liquid leakage parameter during pipe leakage,
Ambient parameter and oil film thickness parameter, and above-mentioned parameter is transmitted to server by harvester, then described server is by institute
State oil liquid leakage parameter, described ambient parameter and described oil film thickness parameter import improve Fay model, improve Navy model,
Fingas evaporation equation and Lagergren secondary absorption rate equation enter row operation, obtain the diffusion parameter of oil film, enabling
More accurately and timely obtain the field data of pipe leakage, improve rapid-action ability.
Two, because server in the embodiment of the present application can be according to the diffusion parameter of described oil film, the fixed control of generation
Instruction, and described corresponding control instruction is sent to user instruction terminal so that user instruction terminal receives server sends out
After the described control instruction sent, and using processing scheme corresponding with described control instruction to described pipe leakage at
Reason, because described server more can accurately and timely obtain the field data of pipe leakage so that described user instruction is whole
End also can receive control instruction in time and quickly, then by described control instruction, can in time with quick to letting out
Leakage accident is processed so that processing scheme can more preferably also more accurately be processed to described pipe leakage.
Obviously, those skilled in the art can carry out the various changes and modification essence without deviating from the present invention to the present invention
God and scope.So, if these modifications of the present invention and modification belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprise these changes and modification.
Claims (6)
1. a kind of pipe leakage based on monitoring net meets an urgent need instruction self-decision system it is characterised in that including monitoring terminal, collection
Device server, wherein；
Described monitoring terminal includes leak detector, flow monitor, flow monitor, wind as monitor and oil film thickness monitoring
Device, wherein, described leak detector is arranged on described pipeline, for gathering the oil liquid leakage parameter of described pipeline；Described stream
Slowdown monitoring device, described flow monitor and described wind as in monitor is arranged on river course corresponding with described pipeline, for gathering
Ambient parameter；Described oil film thickness monitor is arranged on contains receipts oil drop, for gathering oil film thickness parameter in described river course；
Harvester, for being connected with each of described monitoring terminal monitor, the institute that the described leak detector of collection sends
State oil liquid leakage parameter, gather the described ring that described flow monitor, described flow monitor and described wind send as monitor
Border parameter, and the described oil film thickness parameter that the described oil film thickness monitor of collection sends；
Described server, for receiving described oil liquid leakage parameter, described ambient parameter and the described oil that described harvester sends
Film thickness parameter, and described oil liquid leakage parameter, described ambient parameter and described oil film thickness parameter are imported improvement Fay mould
Type, improvement Navy model, Fingas evaporation equation and Lagergren secondary absorption rate equation enter row operation, obtain oil film
Diffusion parameter；
Described improvement Fay model is specially：
ds=ω σs
dn=ω σn
σs=0.001t1.17
Ds=keq(df+ds)
Dn=keq(df+dn)
A=d × D
Wherein, s represents the long axis direction of oil film；N represents oil film short-axis direction；dsFor representing itself extension in s direction for the oil film
Yardstick, dnFor representing itself extension yardstick in n direction for the oil film, ω is proportionality coefficient, σsFor representing oil film in s direction
Quality mean square deviation, σnFor representing the quality mean square deviation in n direction for the oil film, A ' is used for the film area monitoring, k is used for representing
Oil spilling volatilization and the attenuation quotient of degraded, hkFor representing the minimum oil film thickness in the oil film thickness monitoring, A is used for representing
The real area of oil film, keq is scale factor, the time that the reduction process and oil film for representing greasy dirt scope disappears, DsWith
In the expression major axis yardstick in s direction for the oil film, DnFor representing the short axle yardstick in n direction for the oil film, s-n coordinate transformation is x-
Y-coordinate, obtains oval maximum of points in x-axis, moves to downstream apart from D by the oil film that oil slick spread leads to, if Dn
More than the river width in described river course, then A=d × D.
2. self-decision system as claimed in claim 1 is it is characterised in that described improvement Navy model is specially：
Wherein, k1For representing the surface drift coefficient in described river course,For representing the surface velocity in described river course, k2
For representing wind drift coefficient corresponding with described river course,For representing wind speed corresponding with described river course；
If flow rate of water flow and wind speed are not changed in oil spilling response time,
In conjunction with the result of calculation of oil slick spread step simulations, oil film can be obtained migrate to downstream apart from L be：
3. self-decision system as claimed in claim 2 is it is characterised in that described Lagergren secondary absorption rate equation has
Body is：
Wherein, qtFor represent oil film adsorption time when adsorbance, k is used for representing secondary absorption speed constant, qeFor table
Show the equilibrium adsorption capacity of oil film, t is used for express time；
According to above-mentioned formula, the shoreline attachment amount then obtaining oil spilling is：
Qt=qt×L×ΔH
Wherein, Δ H is used for representing the riverbank thickness range of oil spill, and L is used for representing the water front length of oil spill.
4. self-decision system as claimed in claim 3 is it is characterised in that described Fingas evaporation equation is specially：
Vaporization=[0.165 (%D)+0.045 (T-15)] lnt
Wherein, %D is used for representing mass fraction during 180 DEG C of distillations, and T is used for representing oil product temperature, and oil spilling evaporation capacity is：Qvam
=E × V`.
5. self-decision system as claimed in claim 4 is it is characterised in that the diffusion parameter of described oil film includes oil slick spread face
Long-pending, migration distance, evaporation capacity, adsorbance and remaining oil mass, wherein, described residual oil amount is specially：Qnow=V-Qt-Qvam
Wherein, QnowFor representing existing oil mass, V is used for representing oil spilling volume, QtFor representing shoreline attachment amount, QvamFor table
Show oil spilling evaporation capacity.
6. the self-decision system as described in any one of Claims 1 to 5 is it is characterised in that described system also includes：User instruction
Terminal, described server is used for the diffusion parameter according to described oil film, and corresponding control instruction is sent to described user instruction
Terminal；
Described user instruction terminal, for receiving the described control instruction that described server sends, and refers to using with described control
Make corresponding processing scheme.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410442814.0A CN104235617B (en) | 2014-09-02 | 2014-09-02 | Pipeline leakage emergency instruction self-decision making system based on monitoring network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410442814.0A CN104235617B (en) | 2014-09-02 | 2014-09-02 | Pipeline leakage emergency instruction self-decision making system based on monitoring network |
Publications (2)
| Publication Number | Publication Date |
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| CN104930353B (en) * | 2015-07-10 | 2017-08-15 | 浙江大学 | A kind of pressure regulation of public supply mains subtracts leakage assessment system |
| CN105389650A (en) * | 2015-10-26 | 2016-03-09 | 国家海洋局北海环境监测中心 | Ocean beach oil spill pollution monitoring and evaluation system and method |
| CN105590413B (en) * | 2016-03-14 | 2020-01-17 | 郑娟 | Long distance pipeline oil spilling monitored control system, control website and surveillance center based on big dipper |
| CN110070243B (en) * | 2018-01-23 | 2021-10-08 | 中国石油化工股份有限公司 | Oil pipeline high consequence area identification and evaluation system and method |
| CN111680459B (en) * | 2020-06-11 | 2023-12-22 | 中国石油化工股份有限公司 | Pipeline leakage analysis method, device and computer readable storage medium |
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