CN106338006A - Monitor method and system for steam pipe system - Google Patents
Monitor method and system for steam pipe system Download PDFInfo
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- CN106338006A CN106338006A CN201610905899.0A CN201610905899A CN106338006A CN 106338006 A CN106338006 A CN 106338006A CN 201610905899 A CN201610905899 A CN 201610905899A CN 106338006 A CN106338006 A CN 106338006A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/005—Protection or supervision of installations of gas pipelines, e.g. alarm
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
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Abstract
The invention discloses a monitor method for a steam pipe system. The monitor method comprises the steps that data of the steam pipe system in the operating process are collected in real time and sent to a data storage layer through a physical layer; the data in the data storage layer are read through the real-time communication between an application layer and the data storage layer, and on-line computation is conducted for the risk of the steam pipe system on the basis of the read data; and the operating state, the corrosion rate and the water attack risk of the steam pipe system are output through a presentation layer on the basis of an on-line computed result of the application layer. According to the monitor method and system for the steam pipe system, the steam pipe system can be monitored in real time to accurately obtain the current operating state of the steam pipe system so as to achieve real-time state parameter monitoring, failure risk quantitative forecast and accurate failed pipe section positioning of the steam pipe system. The invention further discloses a monitor system for the steam pipe system.
Description
Technical field
The present invention relates to industrial steam pipe network technical field, more particularly, to a kind of monitoring method of steam pipe system and system.
Background technology
Steam is most important public medium in the industry such as oil, chemical industry, iron and steel, energy, and pipe network is as main steam
Means of delivery easily occurs in running that pipeline is aging, heat-insulation layer comes off, condensation, energy loss be excessive in a large number, emptying is unrestrained
The phenomenon such as take, or even occur corrosion leakage, water attack to destroy etc. and lost efficacy, have a strong impact on the operational efficiency of pipe network and the fortune of gas utilization unit
Row safety.However, because pipe network structure is complicated, lacking effectively analysis and monitoring means, therefore operation and management personnel cannot
Know the running status of steam pipe system in time it is difficult to differentiate issuable failure mode and inefficacy wind during pipe network operation
Danger.
Content of the invention
The invention provides a kind of monitoring method of steam pipe system, can in real time steam pipe system be monitored, accurately
The running status knowing current steam pipe network.
The invention provides a kind of monitoring method of steam pipe system, comprising:
By physical layer, to steam pipe system, the data in running carries out Real-time Collection, and the data is activation by collection
To data storage layer；
Real-time communication is carried out by application layer and described data storage layer, reads the data in described data storage layer, base
In the described data reading, steam pipe system risk is carried out in line computation, and result of calculation is write data storage layer；
Steam pipe is exported based on the online result of calculation of described data storage layer and described application layer by presentation layer netted
State result.
Preferably, described by physical layer, to steam pipe system, the data in running carries out Real-time Collection, and will adopt
Collection data is activation to data storage layer particularly as follows:
By the dcs in physical layer, programmable logic controller (PLC) and field instrument to steam pipe system in fortune
Data during row carries out Real-time Collection, and by the data is activation of collection to data storage layer.
Preferably, described real-time communication is carried out by application layer and described data storage layer, read described data storage layer
In data, based on read described data steam pipe system risk is carried out in line computation, and by result of calculation write data deposit
Reservoir particularly as follows:
Real-time communication is carried out by application layer and described data storage layer, reads real time data in described data storage layer
Data in storehouse, relational database and steam pipe system structural parameters storehouse；
Mould is calculated by the pipe network heating power in application layer, elevation computation model, state parameter computation model, corrosion rate
Type and water attack risk computation model are based in the described real time data reading, relational database and steam pipe system structural parameters storehouse
Data is carried out in line computation to steam pipe system risk；
Real-time communication is carried out by application layer and described data storage layer, by the pipe network operation status number obtaining in line computation
According to, corrosion rate, flow regime, the write data storage layer such as water attack risk.
Preferably, described by presentation layer based on described data storage layer and described data storage layer and described application layer
Online result of calculation output steam pipe system state outcome includes:
Shape is run based on the online result of calculation output pipe network of described data storage layer and described application layer by presentation layer
State monitor in real time result；
By the online result of calculation output channel corrosion speed based on described data storage layer and described application layer for the presentation layer
The real-time result of calculation of rate；
By the online result of calculation output pipe network water attack wind based on described data storage layer and described application layer for the presentation layer
Dangerous monitor in real time result；
Risk pipeline section intelligence is exported based on the online result of calculation of described data storage layer and described application layer by presentation layer
Can report to the police and positioning result；
By the online result of calculation output pipe network state based on described data storage layer and described application layer for the presentation layer with
Structural parameters Query Result.
Preferably, the described online result of calculation output risk pipeline section intelligent alarm by presentation layer based on described application layer
Include with positioning result:
Determine operational envelope and the pre-alarm trigger condition of each parameter；
Develop the vector diagram in plane of described steam pipe system layout, by numbering the calculating in each pipeline section and described application layer
Model unit is corresponding；
Each tube length modules are triggered according to the online result of calculation of described application layer and carries out color warning.
A kind of monitoring system of steam pipe system, comprising: physical layer, data storage layer, application layer and presentation layer；Wherein:
Described physical layer, carries out Real-time Collection, and the number by collection for the data in running to steam pipe system
According to transmission to described data storage layer；
Described application layer and described data storage layer carry out real-time communication, and described application layer reads in described data storage layer
Data, based on the described data reading, steam pipe system risk is carried out in line computation, and result of calculation is write data storage
Layer；
The online result of calculation output steam pipe system state knot based on described data storage layer and application layer for the described presentation layer
Really.
Preferably, described physical layer includes: dcs, programmable logic controller (PLC) and field instrument；
Described dcs, programmable logic controller (PLC) and field instrument are to steam pipe system in running
Data carries out Real-time Collection, and by the data is activation of collection to data storage layer.
Preferably, described application layer includes: pipe network heating power, elevation computation model, state parameter calculate
Model, corrosion rate calculate model and water attack risk computation model；
Described data storage layer includes: real-time data base, relational database and steam pipe system structural parameters storehouse；
Described application layer and described data storage layer carry out real-time communication, read real time data in described data storage layer
Data in storehouse, relational database and steam pipe system structural parameters storehouse, and result of calculation is returned to application layer stored；
Described pipe network heating power, elevation computation model, state parameter computation model, corrosion rate calculate model and water attack wind
Dangerous computation model is based on the data in the described real-time data base reading, relational database and steam pipe system structural parameters storehouse to steaming
Steam pipe net risk is carried out in line computation；
Described application layer and described data storage layer carry out real-time communication, by the pipe network operation status number obtaining in line computation
According to, corrosion rate, flow regime, the write data storage layer such as water attack risk.
Preferably, described presentation layer includes: pipe network operation realtime monitoring functional modules, corrosive pipeline speed are counted in real time
Calculate functional modules, pipe network water attack risk monitor in real time functional modules, risk pipeline section intelligent alarm and positioning functional modules and pipe network
State and structural parameters enquiry module；Wherein:
The online result of calculation output pipe network based on described application layer for the described pipe network operation realtime monitoring functional modules
Running status monitor in real time result；
Described corrosive pipeline speed calculates the online result of calculation output channel based on described application layer for the functional modules in real time
The real-time result of calculation of corrosion rate；
The online result of calculation output pipe network based on described application layer for the described pipe network water attack risk monitor in real time functional modules
Water attack risk monitor in real time result；
Described risk pipeline section intelligent alarm online result of calculation output wind based on described application layer with positioning functional modules
Dangerous pipeline section intelligent alarm and positioning result；
The online result of calculation outlet tube based on described application layer is netted with structural parameters enquiry module for described pipe network state
State and structural parameters Query Result.
Preferably, described risk pipeline section intelligent alarm and positioning functional modules include:
Determining unit, for determining operational envelope and the pre-alarm trigger condition of each parameter；
Development block, for developing the vector diagram in plane of described steam pipe system layout, by numbering by each pipeline section with described
Computation model unit in application layer is corresponding；
Trigger element, carries out color warning for triggering each tube length modules according to the online result of calculation of described application layer.
From such scheme, a kind of monitoring method of steam pipe system that the present invention provides, when needing steam pipe system is entered
During row monitoring, first pass through data to steam pipe system in running for the physical layer and carry out Real-time Collection, and the number by collection
According to transmission to data storage layer；Then real-time communication is carried out by application layer and data storage layer, read in data storage layer
Data, is carried out in line computation to steam pipe system risk based on the data reading, and result of calculation is write data storage layer；Finally
Steam pipe system state outcome is exported based on the online result of calculation of accumulation layer and application layer by presentation layer.Achieving can be real-time
Steam pipe system is monitored, accurately know the running status of current steam pipe network.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, acceptable
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of flow chart of the monitoring method embodiment 1 of steam pipe system disclosed by the invention；
Fig. 2 is a kind of flow chart of the monitoring method embodiment 2 of steam pipe system disclosed by the invention；
Fig. 3 is a kind of online result of calculation output risk pipeline section intelligence by presentation layer based on application layer disclosed by the invention
The flow chart that can report to the police with positioning result；
Fig. 4 is a kind of structural representation of the monitoring system embodiment 1 of steam pipe system disclosed by the invention；
Fig. 5 is a kind of structural representation of the monitoring system embodiment 2 of steam pipe system disclosed by the invention；
Fig. 6 is the structural representation of a kind of risk pipeline section intelligent alarm disclosed by the invention and positioning functional modules.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation description is it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of not making creative work
Embodiment, broadly falls into the scope of protection of the invention.
As shown in figure 1, the flow chart of the monitoring method embodiment 1 for a kind of steam pipe system disclosed by the invention, the method
Comprise the following steps:
S101, by physical layer, to steam pipe system, the data in running carries out Real-time Collection, and will collection number
According to transmission to data storage layer；
When needing steam pipe system is monitored, based on net browser/server (b/s) architecture mode, first pass through
To steam pipe system, the data in running carries out Real-time Collection to physical layer, it may for example comprise the temperature of vapour source and user side, pressure
The operating parameters such as power, flow.And the data collecting is sent to number by data acquisition interface software or protocol conversion module
According to accumulation layer.
S102, carry out real-time communication by application layer and data storage layer, read the data in data storage layer, based on reading
The data taking is carried out in line computation to steam pipe system risk, and result of calculation is write data storage layer；
After data in running for the Real-time Collection to steam pipe system, application layer and data storage layer are carried out in real time
Communication, reads the data being stored in data storage layer, and the data being then based on reading is carried out to steam pipe system risk in real time
In line computation, the result calculating is stored to data storage layer simultaneously.
S103, steam pipe system state knot is exported based on the online result of calculation of data storage layer and application layer by presentation layer
Really.
Finally by the online result of calculation output steam pipe system state knot based on data storage layer and application layer for the presentation layer
Really.
In sum, when needing steam pipe system is monitored, first pass through physical layer and steam pipe system was being run
Data in journey carries out Real-time Collection, and by the data is activation of collection to data storage layer；Then deposited with data by application layer
Reservoir carries out real-time communication, reads the data in data storage layer, based on the data reading, steam pipe system risk is carried out online
Calculate, and result of calculation is write data storage layer；Finally by presentation layer based on accumulation layer and application layer in line computation knot
Fruit output steam pipe system state outcome.Achieve and can in real time steam pipe system be monitored, accurately know current steam
The running status of pipe network.
As shown in Fig. 2 the flow chart of the monitoring method embodiment 2 for a kind of steam pipe system disclosed by the invention, the method
Comprise the following steps:
S201, the dcs by physical layer, programmable logic controller (PLC) and field instrument are to steam pipe
Data in running for the net carries out Real-time Collection, and by the data is activation of collection to data storage layer；
When needing steam pipe system is monitored, based on net browser/server (b/s) architecture mode, first pass through
Dcs in physical layer, the programmable logic controller (PLC) and field instrument number in running to steam pipe system
According to carrying out Real-time Collection, it may for example comprise the operating parameter such as the temperature of vapour source and user side, pressure, flow.And by the number collecting
Send to data storage layer according to by data acquisition interface software or protocol conversion module.
S202, carry out real-time communication by application layer and data storage layer, read real-time data base, pass in data storage layer
It is the data in data base and steam pipe system structural parameters storehouse；
Described data storage layer includes relational database, real-time data base and steam pipe system structural parameters storehouse, passes through
Application layer and data storage layer carry out real-time communication, read relational database, real-time data base and steam pipe in data storage layer
Data in web frame parameter library.
S203, the pipe network heating power by application layer, elevation computation model, state parameter computation model, corrosion rate
Computation model and water attack risk computation model are based on the relational database reading, real-time data base and steam pipe system structural parameters storehouse
In data steam pipe system risk is carried out in line computation；
For example, state parameter in running for the steam pipe system is obtained by state parameter computation model, wherein, described
State parameter be characterize steam pipe system performance parameter, for example, radiation loss parameter, condensed water phase fraction parameter, pipeline pressure
Fall parameter and pipe network transfer efficiency parameter etc..After getting state parameter in running for the steam pipe system, to getting
State parameter judged, judge whether state parameter meets the default threshold range of state parameter, described state parameter
Preset threshold range flexibly can be set according to the actual demand of steam pipe system.When judge state parameter be unsatisfactory for state ginseng
During number preset threshold range, show that steam pipe system easily breaks down, now generate state parameter abnormal alarm information, with to work
Pointed out as personnel.
Specifically, when obtaining state parameter in running for the steam pipe system, mainly to steam pipe system running
In temperature drop, pressure drop, flow velocity, condensation water content, the parameter such as radiation loss carry out quantitative Analysis, include reacting pipe network overall operation
The heat of situation, mass loss and the isoparametric calculating of pipe network transfer efficiency.Using in the world first under given temperature, pressure
General iapws-if97 formula, calculates the physical parameters such as steam viscosity, density, heat conductivity, enthalpy, entropy and calculates.Then pass through
Heat transfer equation, draulic equation are calculated.For radiation processes in pipe network for the steam, comprise to manage interior thermal convection current, pipeline and
Heat-insulation layer conduction of heat, outer three processes of thermal convection current of pipe, each radiation processes are combined, derive the computing formula of radiation loss such as
Under:
Wherein, tiFor vapor (steam) temperature in steam pipe system, t0For steam pipe system external environment
Temperature, aiRepresent convective heat-transfer coefficient in pipe, aoRepresent and manage outer convective heat-transfer coefficient, l is duct length, diAnd doFor in pipeline
Footpath.
For the Condensation in pipe network, calculate pipe network radiation loss and the loss of steam enthalpy, then basis first
The enthalpy of vaporization of steam calculates the phase fraction of condensed water in pipe network, and specific formula for calculation is as follows:
Wherein, δ h is that steam loses through the enthalpy of pipe network, and m is the quality of liquid-vapor mixture
Flow.
For flow process in pipe network for the steam, due to steam, in pipe network course of conveying, possible generation vapour-water is biphase
Stream, using two phase flow pressure drop accounting equation, main formulas for calculating is as follows:
Wherein, hlFor liquid holdup, γ is flow resistance coefficient,
F is steam flow, vsgFor vapour phase apparent velocity, θ is the angle of pipeline and horizontal direction, ρg、ρlFor vapour-liquid phase density, l is pipe
Road length, diFor internal diameter of the pipeline, a amasss for pipeline inner section, and v is vapour-liquid mixture velocity, and p is qualitative pressure.
Exergy loss in pipe network course of conveying for the steam, its computing formula are defined as pipe network transfer efficiency
As follows:
Wherein, f is the mass flow of boundary current stock, and in represents inflow pipe
The stream stock of net, out represents the stream stock flowing out pipe network, and δ h represents the available energy of stream stock.
For example, because steam pipe system main corrosion medium is co2, in running, easily corroded, therefore also may be used
Obtain corrosion rate in running for the steam pipe system further model is calculated by corrosion rate.When getting steam pipe
Net, after the corrosion rate in running, judges to the corrosion rate getting, and judges whether corrosion rate meets corruption
Erosion speed preset threshold range, described corrosion rate preset threshold range can carry out spirit according to the concrete material of steam pipe system
Live and set.When judging that the current corrosion rate of steam pipe system is unsatisfactory for corrosion rate preset threshold range, show steam pipe system
Easily break down, now generate corrosion rate abnormal alarm information, so that accurate abnormal prompt is carried out to staff.
Specifically, because steam pipe system main corrosion medium is co2, its corrosion mechanism difference at low temperatures and high temperatures is relatively
Greatly, it is classified as low temperature and high temperature two parts are respectively calculated.When steam medium temperature is less than 150 DEG C, can adopt
Norsok model calculates, and it is in prediction co2Corrosion aspect has higher accurate, and specific formula for calculation is as follows:
Wherein, k represents related to temperature and corrosion products film
Constant, s represents the shear stress of tube wall, fco2Represent co2Fugacity, f (ph) represent the impact to corrosion rate for the solution ph because
Son；
When steam medium temperature is higher than 150 DEG C, calculated using de-waard model, by co under higher temperature2's
Corrosion rate is divided into mass transport process two parts of kinetics and etching component.And introduce scale factor fscale, under high temperature
co2Corrosion reaction generate ferric carbonate dirt stop corrosion occur behavior characterized, computing formula is as follows:
V=vcor×fscale, wherein, v represents corrosion rate, vcorIndicate the corrosion rate in the presence of dirty thing, wherein:
vrFor reaction rate, vmFor the mass transfer rate of Korrosionsmedium, wherein:
fcorFor co in gas phase2Partial pressure is taken advantage of with its fugacity coefficient
Long-pending, t is medium temperature,vliqRepresent the flow velocity of liquid phase in this pipeline section, d represents the diameter of this pipeline section.
For example, it is also possible to be analyzed to the water attack formation mechenism in steam pipe system by water attack risk computation model, by
Closely related with the flow regime of stream-liquid two-phase flow in water attack process, obtain steam pipe system therefore in steam pipe system running
The quasi- number of Fu Luode under gas-liquid two-phase stream mode and liquid phase volume fraction, according to the quasi- number of the Fu Luode getting and liquid phase volume
Fraction judges to the flow pattern of two phase flow, generates water attack risk alarm information based on described flow pattern.
Specifically, the water attack formation mechenism in steam pipe system is analyzed, finds water attack process and stream-liquid two-phase flow
Flow regime is closely related.Present invention introduces the flow pattern computational methods of biphase gas and liquid flow, by flowing shape in pipe network for the two phase flow
State is as the foundation judging water attack risk.Think under slug flow (intermittent flow) state two-phase flow unstable be susceptible to water blocking and
Produce water hammer；Have, under transition stream mode, the probability developing into slug flow and producing water attack；Vapour-liquid composition diffusing state,
Under separated flow state, two-phase flow is relatively stable, and the probability producing water attack is less；Water attack will not occur in the case of single-phase flow
Phenomenon.Use for reference beggs-brill discrimination method, with Fu Luode quasi- number nfrWith liquid phase volume fraction elCarry out flow pattern for index
Judge, its computing formula is as follows:
Wherein, v is gas-liquid mixed flow velocity, and g is acceleration of gravity, and d is that pipeline feature is long
Degree；q1For pipeline section entrance liquid phase volume flow, qgFor pipeline section entrance gas phase volume flow rate.
The flow pattern of two phase flow can be judged according to the size of the quasi- number of Fu Luode and liquid phase volume fraction further.Work as el＜
0.01,Or el＞ 0.01,Two phase flow signals are to separate to flow.Work as el＞ 0.01,When, two coordinate flow pattern for transition flow.WhenOr el＞ 0.4,Two phase flow signals
For intermittent flow.Work as el＜ 0.4,Or el>=0.4,When, two phase flow signals are dispersion stream.
S204, real-time communication is carried out by application layer and data storage layer, by the pipe network operation state obtaining in line computation
Data, corrosion rate, flow regime, water attack risk etc. write data storage layer；
S205, by presentation layer, the online result of calculation output pipe network running status based on data storage layer and application layer is real
When monitored results；Real-time by the online result of calculation output channel corrosion rate based on data storage layer and application layer for the presentation layer
Result of calculation；Supervised in real time based on the online result of calculation output pipe network water attack risk of data storage layer and application layer by presentation layer
Control result；Export risk pipeline section intelligent alarm and determine based on the online result of calculation of data storage layer and application layer by presentation layer
Position result；Looked into structural parameters based on the online result of calculation output pipe network state of data storage layer and application layer by presentation layer
Ask result.
Specifically, in the above-described embodiments, as shown in figure 3, in step s205 by presentation layer be based on data storage layer and
The online result of calculation output risk pipeline section intelligent alarm of application layer can be realized by following steps with positioning result:
S301, the operational envelope determining each parameter and pre-alarm trigger condition；
S302, the vector diagram in plane of exploitation steam pipe system layout, by numbering the meter in each pipeline section and described application layer
Calculate model unit corresponding；
S303, each tube length modules are triggered according to the online result of calculation of application layer carry out color warning.
By determining the unit computational length of each pipeline section in pipe network, by developing the vector diagram in plane of external channeling, pass through
Numbering is corresponding with computation model unit by each pipeline section, and carries out color according to the span of control each tube length modules of triggering of each parameter
Report to the police.As the pipeline color under normal operating condition be green, the pipeline color under alert status be yellow, under alarm condition
Pipeline color is redness.When occurring to report to the police when certain pipeline section operational factor is exceeded, by the coordinate points position instruction in vectogram, can
Find rapidly the position of problem pipeline section in pipe network, being accurately positioned of problem of implementation pipeline section.
As shown in figure 4, the structural representation of the monitoring system embodiment 1 for a kind of steam pipe system disclosed by the invention, should
System includes: physical layer 401, data storage layer 402, application layer 403 and presentation layer 404；Wherein:
Physical layer 401, carries out Real-time Collection, and the data by collection for the data in running to steam pipe system
Send to data storage layer；
When needing steam pipe system is monitored, based on net browser/server (b/s) architecture mode, first pass through
To steam pipe system, the data in running carries out Real-time Collection to physical layer, it may for example comprise the temperature of vapour source and user side, pressure
The operating parameters such as power, flow.And the data collecting is sent to number by data acquisition interface software or protocol conversion module
According to accumulation layer.
Application layer 403 and data storage layer 402 carry out real-time communication, and application layer 403 reads the number in data storage layer 402
According to, based on read data steam pipe system risk is carried out in line computation, and by result of calculation write data storage layer 402；
After data in running for the Real-time Collection to steam pipe system, application layer and data storage layer are carried out in real time
Communication, reads the data being stored in data storage layer, and the data being then based on reading is carried out to steam pipe system risk in real time
In line computation, and result of calculation is write data storage layer.
The online result of calculation output steam pipe system state knot based on data storage layer 402 and application layer 403 for the presentation layer 404
Really.
Finally by the online result of calculation output steam pipe system state knot based on data storage layer and application layer for the presentation layer
Really.
In sum, in the above-described embodiments, when needing steam pipe system is monitored, first pass through physical layer to steaming
Data in running for the steam pipe net carries out Real-time Collection, and by the data is activation of collection to data storage layer；Then pass through
Application layer and data storage layer carry out real-time communication, read the data in data storage layer, based on the data reading to steam pipe
Net risk is carried out in line computation, and result of calculation is write data storage layer；It is based on accumulation layer and application finally by presentation layer
The online result of calculation output steam pipe system state outcome of layer.Achieve and can in real time steam pipe system be monitored, accurately
The running status knowing current steam pipe network.
As shown in figure 5, the structural representation of the monitoring system embodiment 2 for a kind of steam pipe system disclosed by the invention, should
System includes: physical layer 501, data storage layer 502, application layer 503 and presentation layer 504；Wherein: physical layer 501 includes: distribution
Formula control system 5011, programmable logic controller (PLC) 5012 and field instrument 5013；Application layer 503 includes: pipe network heating power, waterpower
Learn computation model 5031, state parameter computation model 5032, corrosion rate calculating model 5033 and water attack risk computation model
5034；Data storage layer 502 includes: relational database 5021, real-time data base 5022 and steam pipe system structural parameters storehouse 5023；
Presentation layer 504 includes: pipe network operation realtime monitoring functional modules 5041, corrosive pipeline speed calculate functional modules in real time
5042nd, pipe network water attack risk monitor in real time functional modules 5043, risk pipeline section intelligent alarm and positioning functional modules 5044 and pipe
Net state and structural parameters enquiry module 5045；
Dcs 5011, programmable logic controller (PLC) 5012 and field instrument 5013 are running to steam pipe system
During data carry out Real-time Collection, and by the data is activation of collection to data storage layer 502；
Application layer 503 and data storage layer 502 carry out real-time communication, read relational database in data storage layer 502
5021st, the data in real-time data base 5022 and steam pipe system structural parameters storehouse 5023；
Pipe network heating power, elevation computation model 5031, state parameter computation model 5032, corrosion rate calculate model 5033
With water attack risk computation model 5034 based on the relational database 5021 reading, real-time data base 5022 and steam pipe system structure ginseng
Data in number storehouse 5023 is carried out in line computation to steam pipe system risk；
Application layer 503 and data storage layer 502 carry out real-time communication, by the pipe network operation status number obtaining in line computation
According to, corrosion rate, flow regime, the write data storage layer 502 such as water attack risk；
The online result of calculation based on data storage layer and application layer for the pipe network operation realtime monitoring functional modules 5041
Output pipe network running status monitor in real time result；
Corrosive pipeline speed calculates the online result of calculation based on data storage layer and application layer for the functional modules 5042 in real time
The real-time result of calculation of output channel corrosion rate；
The online result of calculation based on data storage layer and application layer for the pipe network water attack risk monitor in real time functional modules 5043
Output pipe network water attack risk monitor in real time result；
Risk pipeline section intelligent alarm online result of calculation output risk pipe based on application layer with positioning functional modules 5044
Section intelligent alarm and positioning result；
The online result of calculation based on data storage layer and application layer is defeated with structural parameters enquiry module 5045 for pipe network state
Outlet pipe net state and structural parameters Query Result.
In the above-described embodiments, when needing steam pipe system is monitored, based on net browser/server (b/s) frame
Structure pattern, first passes through dcs in physical layer, programmable logic controller (PLC) and field instrument to steam pipe system
Data in running carries out Real-time Collection, it may for example comprise the operation ginseng such as the temperature of vapour source and user side, pressure, flow
Number.And the data collecting is sent to data storage layer by data acquisition interface software or protocol conversion module.
Described data storage layer includes relational database, real-time data base and steam pipe system structural parameters storehouse, passes through
Application layer and data storage layer carry out real-time communication, read oracle database in data storage layer, isys real-time data base and
Data in steam pipe system structural parameters storehouse.
For example, state parameter in running for the steam pipe system is obtained by state parameter computation model, wherein, described
State parameter be characterize steam pipe system performance parameter, for example, radiation loss parameter, condensed water phase fraction parameter, pipeline pressure
Fall parameter and pipe network transfer efficiency parameter etc..After getting state parameter in running for the steam pipe system, to getting
State parameter judged, judge whether state parameter meets the default threshold range of state parameter, described state parameter
Preset threshold range flexibly can be set according to the actual demand of steam pipe system.When judge state parameter be unsatisfactory for state ginseng
During number preset threshold range, show that steam pipe system easily breaks down, now generate state parameter abnormal alarm information, with to work
Pointed out as personnel.
Specifically, when obtaining state parameter in running for the steam pipe system, mainly to steam pipe system running
In temperature drop, pressure drop, flow velocity, condensation water content, the parameter such as radiation loss carry out quantitative Analysis, include reacting pipe network overall operation
The heat of situation, mass loss and the isoparametric calculating of pipe network transfer efficiency.Using in the world first under given temperature, pressure
General iapws-if97 formula, calculates the physical parameters such as steam viscosity, density, heat conductivity, enthalpy, entropy and calculates.Then pass through
Heat transfer equation, draulic equation are calculated.For radiation processes in pipe network for the steam, comprise to manage interior thermal convection current, pipeline and
Heat-insulation layer conduction of heat, outer three processes of thermal convection current of pipe, each radiation processes are combined, derive the computing formula of radiation loss such as
Under:
Wherein, tiFor vapor (steam) temperature in steam pipe system, t0For steam pipe system external environment
Temperature, aiRepresent convective heat-transfer coefficient in pipe, aoRepresent and manage outer convective heat-transfer coefficient, l is duct length, diAnd doFor in pipeline
Footpath.
For the Condensation in pipe network, calculate pipe network radiation loss and the loss of steam enthalpy, then basis first
The enthalpy of vaporization of steam calculates the phase fraction of condensed water in pipe network, and specific formula for calculation is as follows:
Wherein, δ h is that steam loses through the enthalpy of pipe network, and m is the quality of liquid-vapor mixture
Flow.
For flow process in pipe network for the steam, due to steam, in pipe network course of conveying, possible generation vapour-water is biphase
Stream, using two phase flow pressure drop accounting equation, main formulas for calculating is as follows:
Wherein, hlFor liquid holdup, γ is flow resistance coefficient,
F is steam flow, vsgFor vapour phase apparent velocity, θ is the angle of pipeline and horizontal direction, ρg、ρlFor vapour-liquid phase density, l is pipe
Road length, diFor internal diameter of the pipeline, a amasss for pipeline inner section, and v is vapour-liquid mixture velocity, and p is qualitative pressure.
Exergy loss in pipe network course of conveying for the steam, its computing formula are defined as pipe network transfer efficiency
As follows:
Wherein, f is the mass flow of boundary current stock, and in represents inflow pipe
The stream stock of net, out represents the stream stock flowing out pipe network, and δ h represents the available energy of stream stock.
For example, because steam pipe system main corrosion medium is co2, in running, easily corroded, therefore also may be used
Obtain corrosion rate in running for the steam pipe system further model is calculated by corrosion rate.When getting steam pipe
Net, after the corrosion rate in running, judges to the corrosion rate getting, and judges whether corrosion rate meets corruption
Erosion speed preset threshold range, described corrosion rate preset threshold range can carry out spirit according to the concrete material of steam pipe system
Live and set.When judging that the current corrosion rate of steam pipe system is unsatisfactory for corrosion rate preset threshold range, show steam pipe system
Easily break down, now generate corrosion rate abnormal alarm information, so that accurate abnormal prompt is carried out to staff.
Specifically, because steam pipe system main corrosion medium is co2, its corrosion mechanism difference at low temperatures and high temperatures is relatively
Greatly, it is classified as low temperature and high temperature two parts are respectively calculated.When steam medium temperature is less than 150 DEG C, can adopt
Norsok model calculates, and it is in prediction co2Corrosion aspect has higher accurate, and specific formula for calculation is as follows:
Wherein, k represents related to temperature and corrosion products film
Constant, s represents the shear stress of tube wall, fco2Represent co2Fugacity, f (ph) represent the impact to corrosion rate for the solution ph because
Son；
When steam medium temperature is higher than 150 DEG C, calculated using de-waard model, by co under higher temperature2's
Corrosion rate is divided into mass transport process two parts of kinetics and etching component.And introduce scale factor fscale, under high temperature
co2Corrosion reaction generate ferric carbonate dirt stop corrosion occur behavior characterized, computing formula is as follows:
V=vcor×fscale, wherein, v represents corrosion rate, vcorIndicate the corrosion rate in the presence of dirty thing, wherein:
vrFor reaction rate, vmFor the mass transfer rate of Korrosionsmedium, wherein:
fcorFor co in gas phase2Partial pressure is taken advantage of with its fugacity coefficient
Long-pending, t is medium temperature,vliqRepresent the flow velocity of liquid phase in this pipeline section, d represents the diameter of this pipeline section.
For example, it is also possible to be analyzed to the water attack formation mechenism in steam pipe system by water attack risk computation model, by
Closely related with the flow regime of stream-liquid two-phase flow in water attack process, obtain steam pipe system therefore in steam pipe system running
The quasi- number of Fu Luode under gas-liquid two-phase stream mode and liquid phase volume fraction, according to the quasi- number of the Fu Luode getting and liquid phase volume
Fraction judges to the flow pattern of two phase flow, generates water attack risk alarm information based on described flow pattern.
Specifically, the water attack formation mechenism in steam pipe system is analyzed, finds water attack process and stream-liquid two-phase flow
Flow regime is closely related.Present invention introduces the flow pattern computational methods of biphase gas and liquid flow, by flowing shape in pipe network for the two phase flow
State is as the foundation judging water attack risk.Think under slug flow (intermittent flow) state two-phase flow unstable be susceptible to water blocking and
Produce water hammer；Have, under transition stream mode, the probability developing into slug flow and producing water attack；Vapour-liquid composition diffusing state,
Under separated flow state, two-phase flow is relatively stable, and the probability producing water attack is less；Water attack will not occur in the case of single-phase flow
Phenomenon.Use for reference beggs-brill discrimination method, with Fu Luode quasi- number nfrWith liquid phase volume fraction elCarry out flow pattern for index
Judge, its computing formula is as follows:
Wherein, v is gas-liquid mixed flow velocity, and g is acceleration of gravity, and d is that pipeline feature is long
Degree；q1For pipeline section entrance liquid phase volume flow, qgFor pipeline section entrance gas phase volume flow rate.
The flow pattern of two phase flow can be judged according to the size of the quasi- number of Fu Luode and liquid phase volume fraction further.Work as el＜
0.01,Or el＞ 0.01,Two phase flow signals are to separate to flow.Work as el＞ 0.01,When, two coordinate flow pattern for transition flow.WhenOr el＞ 0.4,Two phase flow signals
For intermittent flow.Work as el＜ 0.4,Or el>=0.4,When, two phase flow signals are dispersion stream.
Specifically, in the above-described embodiments, as shown in fig. 6, risk pipeline section intelligent alarm with positioning functional modules wherein
A kind of structure includes:
Determining unit 601, determines operational envelope and the pre-alarm trigger condition of each parameter；
Each pipeline section, for developing the vector diagram in plane of steam pipe system layout, is answered with described by development block 602 by numbering
Corresponding with the computation model unit in layer；
Trigger element 603, carries out color warning for triggering each tube length modules according to the online result of calculation of application layer.
By determining the unit computational length of each pipeline section in pipe network, by developing the vector diagram in plane of external channeling, pass through
Numbering is corresponding with computation model unit by each pipeline section, and carries out color according to the span of control each tube length modules of triggering of each parameter
Report to the police.As the pipeline color under normal operating condition be green, the pipeline color under alert status be yellow, under alarm condition
Pipeline color is redness.When occurring to report to the police when certain pipeline section operational factor is exceeded, by the coordinate points position instruction in vectogram, can
Find rapidly the position of problem pipeline section in pipe network, being accurately positioned of problem of implementation pipeline section.
If the function described in the present embodiment method is realized and as independent product pin using in the form of SFU software functional unit
When selling or using, can be stored in a computing device read/write memory medium.Based on such understanding, the embodiment of the present invention
Partly being embodied in the form of software product of part that prior art is contributed or this technical scheme, this is soft
Part product is stored in a storage medium, including some instructions with so that computing device (can be personal computer,
Server, mobile computing device or network equipment etc.) execution each embodiment methods described of the present invention all or part step
Suddenly.And aforesaid storage medium includes: u disk, portable hard drive, read only memory (rom, read-only memory), deposit at random
Access to memory (ram, random access memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
In this specification, each embodiment is described by the way of going forward one by one, and what each embodiment stressed is and other
The difference of embodiment, between each embodiment same or similar partly mutually referring to.
Described above to the disclosed embodiments, makes professional and technical personnel in the field be capable of or uses the present invention.
Multiple modifications to these embodiments will be apparent from for those skilled in the art, as defined herein
General Principle can be realized without departing from the spirit or scope of the present invention in other embodiments.Therefore, the present invention
It is not intended to be limited to the embodiments shown herein, and be to fit to and principles disclosed herein and features of novelty phase one
The scope the widest causing.
Claims (10)
1. a kind of monitoring method of steam pipe system is it is characterised in that include:
By physical layer, to steam pipe system, the data in running carries out Real-time Collection, and by the data is activation of collection to number
According to accumulation layer；
Real-time communication is carried out by application layer and described data storage layer, reads the data in described data storage layer, based on reading
The described data taking is carried out in line computation to steam pipe system risk, and result of calculation is write data storage layer；
Steam pipe system state knot is exported based on the online result of calculation of described data storage layer and described application layer by presentation layer
Really.
2. method according to claim 1 it is characterised in that described by physical layer to steam pipe system in running
Data carry out Real-time Collection, and by the data is activation of collection to data storage layer particularly as follows:
By the dcs in physical layer, programmable logic controller (PLC) and field instrument, steam pipe system was being run
Data in journey carries out Real-time Collection, and by the data is activation of collection to data storage layer.
3. method according to claim 2 is it is characterised in that described carry out reality by application layer and described data storage layer
When communication, read described data storage layer in data, based on read described data steam pipe system risk is counted online
Calculate, and by result of calculation write data storage layer particularly as follows:
Real-time communication is carried out by application layer and described data storage layer, reads real-time data base, pass in described data storage layer
It is the data in data base and steam pipe system structural parameters storehouse；
By the pipe network heating power in application layer, elevation computation model, state parameter computation model, corrosion rate calculate model and
Water attack risk computation model is based on the data in the described real time data reading, relational database and steam pipe system structural parameters storehouse
Steam pipe system risk is carried out in line computation；
Real-time communication is carried out by application layer and described data storage layer, by the pipe network operation status data obtaining in line computation,
Corrosion rate, flow regime, water attack risk etc. write data storage layer.
4. method according to claim 3 is it is characterised in that described be based on described data storage layer and institute by presentation layer
The online result of calculation output steam pipe system state outcome stating application layer includes:
Real by the online result of calculation output pipe network running status based on described data storage layer and described application layer for the presentation layer
When monitored results；
Real by the online result of calculation output channel corrosion rate based on described data storage layer and described application layer for the presentation layer
When result of calculation；
Real by the online result of calculation output pipe network water attack risk based on described data storage layer and described application layer for the presentation layer
When monitored results；
Export risk pipeline section by presentation layer based on the online result of calculation of described data storage layer and described application layer intelligently to report
Police and positioning result；
By the online result of calculation output pipe network state based on described data storage layer and described application layer for the presentation layer and structure
Parameter query result.
5. method according to claim 4 is it is characterised in that the described online meter by presentation layer based on described application layer
Calculate result output risk pipeline section intelligent alarm to include with positioning result:
Determine operational envelope and the pre-alarm trigger condition of each parameter；
Develop the vector diagram in plane of described steam pipe system layout, by numbering the computation model in each pipeline section and described application layer
Unit is corresponding；
Each tube length modules are triggered according to the online result of calculation of described application layer and carries out color warning.
6. a kind of monitoring system of steam pipe system is it is characterised in that include: physical layer, data storage layer, application layer and performance
Layer；Wherein:
Described physical layer, carries out Real-time Collection for the data in running to steam pipe system, and the data of collection is sent out
Deliver to described data storage layer；
Described application layer and described data storage layer carry out real-time communication, and described application layer reads the number in described data storage layer
According to being carried out steam pipe system risk in line computation based on the described data reading, and result of calculation write data storage layer；
The online result of calculation output steam pipe system state outcome based on described data storage layer and application layer for the described presentation layer.
7. system according to claim 6 is it is characterised in that described physical layer includes: dcs, programmable
Logic controller and field instrument；
Described dcs, the programmable logic controller (PLC) and field instrument data in running to steam pipe system
Carry out Real-time Collection, and by the data is activation of collection to data storage layer.
8. system according to claim 7 is it is characterised in that described application layer includes: pipe network heating power, elevation computation mould
Type, state parameter computation model, corrosion rate calculate model and water attack risk computation model；
Described data storage layer includes: real-time data base, relational database and steam pipe system structural parameters storehouse；
Described application layer and described data storage layer carry out real-time communication, read real-time data base, pass in described data storage layer
It is the data in data base and steam pipe system structural parameters storehouse, and result of calculation is returned to application layer and stored；
Described pipe network heating power, elevation computation model, state parameter computation model, corrosion rate calculate model and water attack risk meter
Calculate model based on the data in the described real-time data base reading, relational database and steam pipe system structural parameters storehouse to steam pipe
Net risk is carried out in line computation；
Described application layer and described data storage layer carry out real-time communication, by the pipe network operation status data obtaining in line computation,
Corrosion rate, flow regime, water attack risk etc. write data storage layer.
9. system according to claim 8 is it is characterised in that described presentation layer includes: pipe network operation realtime monitoring
Functional modules, corrosive pipeline speed calculate functional modules, pipe network water attack risk monitor in real time functional modules, risk pipeline section intelligence in real time
Can report to the police and positioning functional modules and pipe network state and structural parameters enquiry module；Wherein:
Described pipe network operation realtime monitoring functional modules are run based on the online result of calculation output pipe network of described application layer
Realtime monitoring result；
Described corrosive pipeline speed calculates the online result of calculation output channel corrosion based on described application layer for the functional modules in real time
The real-time result of calculation of speed；
The online result of calculation output pipe network water attack based on described application layer for the described pipe network water attack risk monitor in real time functional modules
Risk monitor in real time result；
Described risk pipeline section intelligent alarm online result of calculation output risk pipe based on described application layer with positioning functional modules
Section intelligent alarm and positioning result；
Described pipe network state and the online result of calculation output pipe network state based on described application layer for the structural parameters enquiry module with
Structural parameters Query Result.
10. system according to claim 9 it is characterised in that described risk pipeline section intelligent alarm with positioning functional modules
Including:
Determining unit, for determining operational envelope and the pre-alarm trigger condition of each parameter；
Development block, for developing the vector diagram in plane of described steam pipe system layout, by numbering each pipeline section and described application
Computation model unit in layer is corresponding；
Trigger element, carries out color warning for triggering each tube length modules according to the online result of calculation of described application layer.
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