CN109324511A - A kind of iron and steel enterprise's gaspipe network operation optimizing system - Google Patents
A kind of iron and steel enterprise's gaspipe network operation optimizing system Download PDFInfo
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- CN109324511A CN109324511A CN201811374870.XA CN201811374870A CN109324511A CN 109324511 A CN109324511 A CN 109324511A CN 201811374870 A CN201811374870 A CN 201811374870A CN 109324511 A CN109324511 A CN 109324511A
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 title claims abstract description 38
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 23
- 239000010959 steel Substances 0.000 title claims abstract description 23
- 229910052742 iron Inorganic materials 0.000 title claims abstract description 19
- 238000005457 optimization Methods 0.000 claims abstract description 65
- 238000004088 simulation Methods 0.000 claims abstract description 52
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 41
- 238000012544 monitoring process Methods 0.000 claims abstract description 32
- 238000013178 mathematical model Methods 0.000 claims description 23
- 230000002068 genetic effect Effects 0.000 claims description 22
- 239000003034 coal gas Substances 0.000 claims description 20
- 238000000034 method Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims description 4
- 238000012806 monitoring device Methods 0.000 claims description 4
- 238000012913 prioritisation Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 239000012530 fluid Substances 0.000 claims description 3
- 241000208340 Araliaceae Species 0.000 claims description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 2
- 238000013459 approach Methods 0.000 claims description 2
- 235000008434 ginseng Nutrition 0.000 claims description 2
- 239000003245 coal Substances 0.000 description 4
- 230000035772 mutation Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000013016 damping Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
Abstract
The present invention relates to a kind of iron and steel enterprise's gaspipe network operation optimizing systems, belong to iron and steel enterprise's energy source optimization field.The system includes gaspipe network, gas fittings, gaspipe network monitoring running state equipment and gaspipe network operating status adjustment equipment；The gaspipe network operating status adjustment equipment includes gaspipe network running simulation module, optimization problem setting module and optimizing module.The present invention obtains related monitoring data using gaspipe network monitoring running state equipment, by gaspipe network running simulation in conjunction with intelligent optimization algorithm, using the operation characteristic relevant parameter of gaspipe network as optimization aim, with the operating parameter of gaspipe network for parameter to be optimized, the intelligent optimization of gaspipe network correlation operating parameter scheme is realized by optimizing algorithm, provides intelligent decision making auxiliary for the running optimizatin of gaspipe network.
Description
Technical field
The invention belongs to iron and steel enterprise's energy source optimization fields, are related to a kind of iron and steel enterprise's gaspipe network operation optimizing system.
Background technique
Coal gas is the most important energy medium of iron and steel enterprise, and how the coal gas of substantial amounts is steadily supplied, rationally in steel mill
It is iron and steel enterprise's important project to be faced that economy, which uses,.
Currently, for Accurate Prediction gaspipe network operation characteristic, many scholars by establish hydraulic calculation model of pipe networks or
Pressure and flow distribution situation progress analog simulation using Hydraulic Calculation Software to pipe network under certain operating condition, result is to pipe
The design evaluation and optimizing scheduling of net have certain guidance effect, but optimization process is mostly random trial or the warp depending on people
It tests, lacks scientific, intelligentized optimum ideals.For built iron and steel enterprise's gaspipe network, production run characteristic master
To depend on the operating parameter of pipe network user, gas source and equipment etc..
Therefore, a kind of gaspipe network operation optimizing system from coal gas monitoring running state to adjustment is needed.
Summary of the invention
In view of this, utilizing coal the purpose of the present invention is to provide a kind of iron and steel enterprise's gaspipe network operation optimizing system
Gas pipe network monitoring running state equipment obtains related monitoring data, by gaspipe network running simulation in conjunction with intelligent optimization algorithm,
Using the operation characteristic relevant parameter of gaspipe network as optimization aim, with the operating parameter of gaspipe network for parameter to be optimized, pass through
Optimizing algorithm realizes the intelligent optimization of gaspipe network correlation operating parameter scheme, provides intelligence for the running optimizatin of gaspipe network
Decision assistant.
In order to achieve the above objectives, the invention provides the following technical scheme:
A kind of iron and steel enterprise's gaspipe network operation optimizing system, including gaspipe network, gas fittings, gaspipe network run shape
State monitoring device and gaspipe network operating status adjust equipment；The gaspipe network operating status adjustment equipment includes gaspipe network
Running simulation module, optimization problem setting module and optimizing module；
The gaspipe network monitoring running state equipment is used to obtain the monitoring data in coal gas system, and saves acquisition
Data；The monitoring data include use state and operating parameter of gas source, the flow of user, pressure and each gas fittings etc.；
The gaspipe network running simulation module, for the pipeline and device parameter and pipe according to user's input gaspipe network
The operating parameter of network users, gas source and equipment etc. establishes gaspipe network running simulation mathematical model, and solves to model；
The optimization problem setting module: for the definition of optimization problem, including setting parameter to be optimized, optimization aim letter
Several and required optimization problem operating condition scene；
The optimizing module carries out optimizing to set optimization problem for executing genetic algorithm, including
The control parameter of genetic algorithm and the value range of parameter to be optimized are set, to excellent according to set by optimization problem setting module
Change parameter and optimization object function executes genetic algorithm, obtains the optimization solution for meeting algorithm sets requirement, and export prioritization scheme.
Further, the gaspipe network running simulation module includes: pipe net modeling device and Models computed device；
The pipe net modeling device is for preset according to fluid dynamic theory and the building gaspipe network operation of digraph theory
Simulation model equation, according to the pipeline of the gaspipe network of user's input and device parameter and pipe network user, gas source and equipment etc.
Operating parameter establishes gaspipe network running simulation mathematical model；
Gaspipe network is calculated certain for solving gaspipe network running simulation mathematical model in the Models computed device
Operation characteristic parameter under working condition, pressure distribution and the flow of each pipeline section including pipe network node etc..
Further, the optimization problem setting module include: parameter set element to be optimized, optimization aim assignment component and
Operating condition scene settings component；
The parameter set element to be optimized is for setting parameter to be optimized；The parameter to be optimized is from the gas pipe
It is chosen in the operating parameter of pipe network user, gas source and equipment in net running simulation mathematical model for modeling etc., or selects it
Middle part operating parameter is independent variable constructor as parameter to be optimized；
For the optimization aim assignment component for setting optimization object function, objective function is set as individual event or multinomial；It is described
Objective function is the fortune of pipe network user, gas source and equipment from the gaspipe network running simulation mathematical model for modeling etc.
It is chosen in the gaspipe network operation characteristic parameter that row parameter and gaspipe network running simulation mathematical model solve, or selection
Operating parameter and gaspipe network operation characteristic parameter are independent variable constructor as objective function；
The operating condition scene settings component is for setting the corresponding working condition of required optimization problem；The working condition is
The monitoring data of corresponding coal gas user, gas source and equipment etc., and root are chosen from the gaspipe network operating state monitoring system
According to needing to modify respective value.
Further, the optimizing module is based on genetic algorithm, solves problem to be optimized by iterative calculation, comprising:
Optimizing algorithm assignment component and optimizing algorithm actuator；
The optimizing algorithm assignment component is used to set the control parameter of genetic algorithm, and reads in the optimization problem setting
Parameter and optimization aim to be optimized set by module, the value range and fitness for concurrently setting parameter to be optimized calculate public
Formula；
The optimizing algorithm actuator is for integrating genetic algorithm program, by control set in optimizing algorithm assignment component
Parameter processed, the fitness calculating of individual need to dispatch the gaspipe network running simulation module when executing genetic algorithm, and individual is taken
The parameter information to be optimized input gaspipe network running simulation module of band carries out simulation resolving, and by the gaspipe network of analog approach
Operation characteristic parameter is back to optimizing module, for calculating the fitness of corresponding individual, with this continuous iteration, until obtaining
Meet the optimization solution of algorithm sets requirement, exports prioritization scheme.
Further, the gas fittings includes valve, gas chamber, diffusing tower and coal gas mixing station, in gaspipe network with
Gas-pipe line is directly connected to；
Pipe network user is connected with gas source by gas-pipe line, and gas fittings is controlled by gas fittings PLC connection；Valve installation
In close each user or gas source side, for controlling gas flow.
Further, the gaspipe network monitoring running state equipment includes instrument and data acquisition equipment；The data are adopted
Collection equipment includes valve opening sensor and monitoring sensor；The instrument includes flowmeter and pressure gauge etc.；
The valve opening sensor is mounted at valve, for obtaining valve opening data；The monitoring sensor is logical
Cross use state and the operating parameter etc. that gas fittings is obtained with gas fittings PLC communication connection；The flowmeter and pressure gauge
It is sequentially arranged at the data such as flow and the pressure on the pipeline at pipe network user or gas source, for obtaining pipe network.
The beneficial effects of the present invention are: related monitoring data are obtained using gaspipe network monitoring running state equipment, it will
Gaspipe network running simulation is in conjunction with intelligent optimization algorithm, using the operation characteristic relevant parameter of gaspipe network as optimization aim, with
The operating parameter of gaspipe network is parameter to be optimized, and the intelligence of gaspipe network correlation operating parameter scheme is realized by optimizing algorithm
Optimization provides intelligent decision making auxiliary for the running optimizatin of gaspipe network, and gaspipe network operating status easy to adjustment in time reduces
The usage amount of coal.
Detailed description of the invention
In order to keep the purpose of the present invention, technical scheme and beneficial effects clearer, the present invention provides following attached drawing and carries out
Illustrate:
Fig. 1 is the structural block diagram of optimization system of the present invention；
Fig. 2 is the annexation figure of system of the present invention.
Specific embodiment
Below in conjunction with attached drawing, a preferred embodiment of the present invention will be described in detail.
As shown in Figure 1, a kind of iron and steel enterprise's gaspipe network operation optimizing system provided by the invention, including gaspipe network,
Gas fittings, gaspipe network monitoring running state equipment 1 and gaspipe network operating status adjust equipment；The gaspipe network operation
It includes gaspipe network running simulation module 2, optimization problem setting module 3 and optimizing module 4 that state, which adjusts equipment,.
The gas fittings includes valve, gas chamber, diffusing tower and coal gas mixing station, in gaspipe network with gas-pipe line
It is directly connected to；
It is connected in parallel on gas fittings as shown in Fig. 2, pipe network user and gas source pass through pipeline, gas fittings is by coal gas
Equipment PLC connection control；One valve is being installed close to each user or gas source side, for controlling gas flow.
Gaspipe network monitoring running state equipment 1 for obtaining the monitoring data in coal gas system, and saves the number of acquisition
According to；The monitoring data include use state and operating parameter of gas source, the flow of user, pressure and each gas fittings etc.；
Wherein, the gaspipe network monitoring running state equipment includes instrument and data acquisition equipment；Data acquisition equipment
Including valve opening sensor and monitoring sensor；Instrument includes flowmeter and pressure gauge etc.；Valve opening sensor is mounted on
At valve, for obtaining valve opening data；Sensor is monitored by obtaining gas fittings with gas fittings PLC communication connection
Use state and operating parameter etc.；Flowmeter and pressure gauge are sequentially arranged on the pipeline at pipe network user or gas source, for obtaining
Take the data such as flow and the pressure of pipe network.
Gaspipe network running simulation module 2, for the pipeline and device parameter and pipe network according to user's input gaspipe network
The operating parameter of user, gas source and equipment etc. establishes gaspipe network running simulation mathematical model, and solves to model；
Wherein, the gaspipe network running simulation module 2 includes:
Pipe net modeling device 21, wherein presetting according to fluid dynamic theory and the building gaspipe network operation of digraph theory
Simulation model equation specifically includes quality, momentum and energy conservation equation, the resistance of ducting equation, gas fittings of pipeline flowing
Logic control equation etc.；The modeling device provides the design parameter of the gaspipe network of interface for users input and pipe network is used
The operating parameter of family, gas source and gas fittings etc. specifically includes the connection relationship of gaspipe network, duct length, diameter, each coal gas
The size of equipment, the flow of coal gas user and gas source or pressure and the operating status of each gas fittings etc.；It is inputted according to user
Data establish gaspipe network running simulation mathematical model.
Models computed device 22, for solving gaspipe network running simulation mathematical model, specifically, according to pipe net modeling device 21
The gaspipe network running simulation mathematical model of foundation, using discrete way such as finite difference calculus or finite volume methods to computation model
It carries out discrete, calculates to obtain operation characteristic parameter of the gaspipe network under certain working condition by numerical method iterative solution, wrap
Include pressure distribution and the flow of each pipeline section etc. of pipe network node.
Pipe net modeling device 21 is to call to use when initially use this system and steel mill's gaspipe network structure change.Often
During advising production run, gaspipe network running optimizatin is carried out using this system and generally first calls optimization problem setting module 3.
Optimization problem setting module 3 is used for the definition of optimization problem, including setting parameter to be optimized, optimization object function and
The operating condition scene of required optimization problem, specifically includes:
Parameter set element 31 to be optimized, for setting parameter to be optimized.Specifically, parameter set element to be optimized is from coal
The operation ginseng of pipe network user, gas source and equipment etc. in gaspipe network operation mathematical model is read in gas pipe network running simulation module 2
Ordered series of numbers table, user therefrom directly choose some of them parameter, are defined as parameter to be optimized, can also be certainly with some of them parameter
Variable constructor is defined as parameter to be optimized.
Optimization aim assignment component 32, for setting optimization object function.Specifically, optimization aim assignment component target letter
Number is from pipe network user, gas source and coal gas are set in reading gaspipe network operation mathematical model in gaspipe network running simulation module 2
The gaspipe network operation characteristic parameter that the standby operating parameter waited and gaspipe network running simulation mathematical model solve, shape
At parameter list, user therefrom directly chooses some of them parameter, can also be the function of independent variable building with these parameters, by
This defines optimization object function；The optimization object function may be configured as one or more according to particular problem.
Operating condition scene settings component 33, for inputting the corresponding gaspipe network running boundary condition of required optimization problem.Tool
Body, operating condition scene settings component provides each operational parameter value and sets interface, can be from the gaspipe network operational monitoring module
The middle monitoring data for choosing corresponding coal gas user, gas source and equipment etc. as running boundary setting value, can also by user according to
Need the numerical value of customized relevant parameter.
Optimizing module 4 is used for the setting according to optimization problem setting module, and is based on genetic algorithm, solves to be optimized
Parameter specifically includes:
Optimizing algorithm assignment component 41 provides setting of the interface for genetic algorithm control parameter, specifically includes population number
Amount, genetic algebra, fitness function, crossover probability, mutation probability, fitness tolerance, initial population setting etc., and read in optimization
Set parameter and optimization aim to be optimized, provide the value range of interface setting parameter to be optimized in problem setting module 2；
Optimizing algorithm actuator 42 specifically, carries out as follows for executing genetic algorithm by setting:
1) generate individual primary by optimizing algorithm assignment component 41 setting value, wherein each individual carry it is to be optimized
The information of parameter；
2) gaspipe network running simulation module 2 is called, the parameter information that each individual carries is substituted into gaspipe network fortune respectively
Row simulation mathematical model, and each corresponding simulation value is returned respectively；
3) fitness of each individual is calculated separately according to the simulation value of return, and algorithmically carry out individual selection,
Intersect and mutation operator, the next-generation individual of generation, and repetition above step are by generation calculating, until obtaining the optimization for meeting and setting
Solution.
Embodiment one:
Since a seat height furnace needs damping down, blast furnace gas yield is reduced for certain steel mill, to guarantee that production need to reduce power plant for self-supply
Gas using quantity, there are 3 power plants for self-supply in steel mill, need to seek the gas using quantity adjusting and optimizing scheme of 3 power plants for self-supply, should guarantee
Other users supply gas pressure is not less than 5kPa, and the gas using quantity of power plant for self-supply can be allowed as big as possible.
By a kind of iron and steel enterprise's gaspipe network operation optimizing system provided by the invention, gaspipe network operation shape has been deployed
State monitoring device acquires and saves corresponding monitoring data, and establishes factory's gas pipe using gaspipe network running simulation module
Net running simulation mathematical model；According to the problem to be optimized, parameter to be optimized is the blast furnace gas dosage Qi of 3 power plants for self-supply
(i=1,2,3), and according to the value range of the actual operation characteristic of power plant setting Qi；According to the problem to be optimized, optimization
There are two targets:
1) power plant for self-supply's blast furnace gas dosage is maximum, i.e. max Σ Qi；
2) user's pressure minimum Pmin >=5kPa that running simulation mathematical model is calculated；Operating condition scene is by from coal
The average usage amount that gas pipe network monitoring running state equipment chooses blast furnace gas when blast furnace gas user produces in nearest 2h is set
It is fixed.
After completing above-mentioned setting, optimizing is carried out:
Firstly, being calculated with the column vector Q={ Q1, Q2, Q3 } that the blast furnace gas dosage of 3 power plants for self-supply is constituted as heredity
The individual of method, using the value range of Qi as the constraint of individual value, the target building A=f that optimizes as needed (Σ Qi,
Pmin) as the calculation formula of fitness；Then, set the algebra of genetic algorithm, population size, crossover probability, mutation probability,
The genetic algorithm controls parameter such as fitness target, and generate individual primary.
Then, start to execute genetic algorithm: calling gaspipe network running simulation module, the parameter that individual primary carries is believed
Breath substitutes into gaspipe network running simulation mathematical model, and each user of gaspipe network that the corresponding simulation of each individual is calculated is pressed
Force value Pi is returned；The corresponding fitness of individual is calculated by fitness function according to the simulation value of return, and presses genetic algorithm
Selection, intersection and the mutation operator of individual are carried out, the next-generation individual of generation simultaneously repeats above step by generation calculating, works as genetic algebra
Fitness of some individual has reached fitness target in value or calculating process set by reaching, then stops calculating, and exports
The gas using quantity adjusting and optimizing scheme Qopt of power plant for self-supply.
Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical
It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (6)
1. a kind of iron and steel enterprise's gaspipe network operation optimizing system, which is characterized in that including gaspipe network, gas fittings, coal gas
Pipe network operation condition monitoring device and gaspipe network operating status adjust equipment；The gaspipe network operating status adjusts equipment packet
Include gaspipe network running simulation module, optimization problem setting module and optimizing module；
The gaspipe network operating status equipment is used to obtain the monitoring data in coal gas system, and saves the data of acquisition；Institute
State the use state and operating parameter that monitoring data include gas source, the flow of user, pressure and each gas fittings；
The gaspipe network running simulation module, for being used according to the pipeline and device parameter and pipe network of user's input gaspipe network
The operating parameter at family, gas source and equipment establishes gaspipe network running simulation mathematical model, and solves to model；
The optimization problem setting module is used for the definition of optimization problem, including setting parameter to be optimized, optimization object function and
The operating condition scene of required optimization problem；
The optimizing module is used to execute genetic algorithm and carries out optimizing to set optimization problem, including setting is lost
The value range of the control parameter of propagation algorithm and parameter to be optimized, the parameter to be optimized according to set by optimization problem setting module
And optimization object function executes genetic algorithm, obtains the optimization solution for meeting algorithm sets requirement, and export prioritization scheme.
2. a kind of iron and steel enterprise's gaspipe network operation optimizing system according to claim 1, which is characterized in that the coal gas
Pipe network operation analog module includes: pipe net modeling device and Models computed device；
The pipe net modeling device constructs gaspipe network running simulation according to fluid dynamic theory and digraph theory for preset
Model equation is joined according to the operation of the pipeline of the gaspipe network of user's input and device parameter and pipe network user, gas source and equipment
Number establishes gaspipe network running simulation mathematical model；
Gaspipe network is calculated in certain operating condition for solving gaspipe network running simulation mathematical model in the Models computed device
Under the conditions of operation characteristic parameter, including pipe network node pressure distribution and each pipeline section flow.
3. a kind of iron and steel enterprise's gaspipe network operation optimizing system according to claim 1, which is characterized in that the optimization
Problem setting module includes: parameter set element, optimization aim assignment component and operating condition scene settings component to be optimized；
The parameter set element to be optimized is for setting parameter to be optimized；The parameter to be optimized is transported from the gaspipe network
It is chosen in operating parameter in row simulation mathematical model for the pipe network user of modeling, gas source and equipment, or selection is part of
Operating parameter is independent variable constructor as parameter to be optimized；
For the optimization aim assignment component for setting optimization object function, objective function is set as individual event or multinomial；The target
Function is the operating parameter from the gaspipe network running simulation mathematical model for the pipe network user of modeling, gas source and equipment
And it is chosen in the gaspipe network operation characteristic parameter that solves of gaspipe network running simulation mathematical model, or selection operation ginseng
Several and gaspipe network operation characteristic parameter is independent variable constructor as objective function；
The operating condition scene settings component is for setting the corresponding working condition of required optimization problem；The working condition is from institute
The monitoring data that corresponding coal gas user, gas source and equipment are chosen in gaspipe network operating state monitoring system are stated, and as needed
Modify respective value.
4. a kind of iron and steel enterprise's gaspipe network operation optimizing system according to claim 1, which is characterized in that the optimizing
Computing module is based on genetic algorithm, solves problem to be optimized by iterative calculation, comprising: optimizing algorithm assignment component and optimizing are calculated
Method actuator；
The optimizing algorithm assignment component is used to set the control parameter of genetic algorithm, and reads in the optimization problem setting module
Set parameter and optimization aim to be optimized concurrently sets the value range and fitness calculation formula of parameter to be optimized；
The optimizing algorithm actuator is joined for integrating genetic algorithm program by control set in optimizing algorithm assignment component
Number, the fitness calculating of individual need to dispatch the gaspipe network running simulation module when executing genetic algorithm, and individual is carried
Parameter information input gaspipe network running simulation module to be optimized carries out simulation resolving, and the gaspipe network of analog approach is run
Characterisitic parameter is back to optimizing module, for calculating the fitness of corresponding individual, with this continuous iteration, until being met
The optimization solution of algorithm sets requirement exports prioritization scheme.
5. a kind of iron and steel enterprise's gaspipe network operation optimizing system according to claim 2, which is characterized in that the coal gas
Equipment includes valve, gas chamber, diffusing tower and coal gas mixing station, is directly connected in gaspipe network with gas-pipe line；
Pipe network user is connected with gas source by gas-pipe line, and gas fittings is controlled by gas fittings PLC connection；Valve, which is mounted on, to be leaned on
Nearly each user or gas source side, for controlling gas flow.
6. a kind of iron and steel enterprise's gaspipe network operation optimizing system according to claim 5, which is characterized in that the coal gas
Pipe network operation condition monitoring device includes instrument and data acquisition equipment；The data acquisition equipment includes valve opening sensor
With monitoring sensor；The instrument includes flowmeter and pressure gauge；
The valve opening sensor is mounted at valve, for obtaining valve opening data；The monitoring sensor by with
The use state and operating parameter of gas fittings PLC communication connection acquisition gas fittings；The flowmeter and pressure gauge are successively pacified
On the pipeline at pipe network user or gas source, for obtaining the flow and pressure data of pipe network.
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| CN110348126B (en) * | 2019-07-12 | 2023-10-24 | 中冶赛迪信息技术(重庆)有限公司 | Method, system, equipment and storage medium for optimizing raw material pile layout of steel mill |
| CN113537644A (en) * | 2021-08-23 | 2021-10-22 | 中冶赛迪技术研究中心有限公司 | Multi-air compression station dynamic collaborative optimization regulation and control system and method |
| CN113537644B (en) * | 2021-08-23 | 2022-07-08 | 中冶赛迪技术研究中心有限公司 | Multi-air compression station dynamic collaborative optimization regulation and control system and method |
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