CN116595695A

CN116595695A - Method and device for constructing gas pipe network model

Info

Publication number: CN116595695A
Application number: CN202310627064.3A
Authority: CN
Inventors: 曹北斗
Original assignee: Shenzhen Ai Lu Enji Energy Technology Co ltd
Current assignee: Shenzhen Ai Lu Enji Energy Technology Co ltd
Priority date: 2023-05-30
Filing date: 2023-05-30
Publication date: 2023-08-15

Abstract

The application provides a method and a device for constructing a gas pipe network model, wherein the method comprises the following steps: when a model building request is received, acquiring target data in a target system according to the model building request, wherein the target data comprises pipe network physical data, working condition data and load data; constructing an initial model according to the pipe network physical data; assigning the initial model according to the working condition data to obtain an assigned model; performing data analysis processing according to the load data to obtain a plurality of target gas consumption corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption; and assigning the target gas consumption to a position corresponding to the assignment model through the pipe network position information to generate a pipe network model. The digital model constructed by the method is called, so that the running state of the retrospective pipe network system is accurately predicted and simulated, and the method is a core technology for realizing the safe and efficient design and running management of the pipe network system.

Description

Method and device for constructing gas pipe network model

Technical Field

The application relates to the field of natural gas, in particular to a method and a device for constructing a gas pipe network model.

Background

Ensuring the safe operation of the urban fuel gas and ensuring the healthy operation of the urban fuel gas becomes the difficult problem that the fuel gas industry has to face and needs to be solved at the same time. The method can be used for researching the existing pipe network system, predicting the future pipe network system and analyzing the emergency working condition, and can help gas companies to provide operation and operation decision basis in the aspects of evaluating the pipe network load capacity, making purchase plans, making scheduling schemes, making emergency plans of emergency and the like. However, the method is extremely complex and professional to perfectly reproduce the real situations of pipe network physical data, pipe network working conditions, user loads and the like to build the gas pipe network model.

The natural gas pipe network system is an integrated hydrodynamic system with huge scale and complex composition, which is composed of various elements such as a gas source, a pipe network, a user, a gas storage and the like, and is an important energy transportation infrastructure. Along with the continuous increase of the scale of the natural gas pipe network system, the structure is increasingly complex, the intelligent requirements are gradually improved, and how to realize the economic and efficient transportation, the safe and stable operation and the flexible and reliable allocation of the pipe network system is a key problem facing the design and operation of the pipe network.

Disclosure of Invention

In view of the above problems, the present application provides a method for constructing a gas pipe network model and an apparatus thereof, which overcome the above problems or at least partially solve the above problems, including:

a method of gas pipe network model construction, the method comprising:

when a model building request is received, acquiring target data in a target system according to the model building request, wherein the target data comprises pipe network physical data, working condition data and load data;

constructing an initial model according to the pipe network physical data;

assigning the initial model according to the working condition data to obtain an assigned model;

performing data analysis processing according to the load data to obtain a plurality of target gas consumption corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption;

and assigning the target gas consumption to a position corresponding to the assignment model through the pipe network position information to generate a pipe network model.

Further, when receiving a model building request, acquiring target data in a target system according to the model building request, wherein the target data comprises pipe network physical data, working condition data and load data, and the target system comprises a geographic information system, a data acquisition and monitoring control system, a customer service system and a remote monitoring system, and the method comprises the following steps of:

Acquiring pipeline data in the geographic information system, wherein the pipeline data comprises a pipeline model, a pipeline material and a pipeline length, and the pipeline network physical data is constructed by the pipeline model, the pipeline material and the pipeline length;

acquiring gas pressure information and gas flow information in the data acquisition and monitoring control system, wherein the working condition data are constructed by the gas pressure information and the gas flow information;

acquiring gas consumption of a natural gas user and natural gas user address information in the customer service system, wherein the load data is constructed by the gas consumption of the natural gas user and the natural gas user address information;

and determining the target data according to the pipe network physical data, the working condition data and the load data.

Further, the step of constructing an initial model according to the pipe network physical data includes:

acquiring a pipe network file from the pipe network physical data, wherein the pipe network file comprises a pipe network computer aided design drawing, a pipeline specification statistical table, gas station position information and valve position information;

performing pipe network connectivity correction processing according to the pipe network computer aided design drawing to obtain a corrected target pipe network drawing;

And generating the initial model according to the pipe network drawing, the pipeline specification statistical table, the gas station position information and the valve position information.

Further, the step of assigning the initial model according to the working condition data to obtain an assigned model includes:

acquiring door station pressure flow data, pressure flow data of a pressure regulating station, pressure flow data of a monitoring point, monthly gas consumption meter reading data of industrial and commercial users and remote transmission system monitoring data from the working condition data;

respectively determining corresponding time information and position information according to the gate station pressure flow data, the voltage regulating station pressure flow data and the monitoring point pressure flow data to obtain gate station pressure flow data with time attribute and position attribute, voltage regulating station pressure flow data with time attribute and position attribute and monitoring point pressure flow data with time attribute and position attribute;

obtaining month gas consumption data of the business and civil users taking the hour as granularity and flow remote transmission data taking the hour as granularity according to the month gas consumption meter reading data of the business and civil users and the remote transmission system monitoring data through a first preset analysis rule, wherein the first preset analysis rule comprises an uneven coefficient method, a working coefficient method, a heat index method and an economic index method;

And assigning the gate station pressure flow data with the time attribute and the position attribute, the voltage regulating station pressure flow data with the time attribute and the position attribute, the monitoring point pressure flow data with the time attribute and the position attribute, the monthly gas consumption data of the business and civil users with the granularity of hours and the flow remote transmission data with the granularity of hours to the initial model to obtain the assignment model.

Further, the step of performing data analysis processing according to the load data to obtain a plurality of target gas consumption corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption includes:

acquiring a plurality of gas consumption of various users and a plurality of pipe network position information from the load data;

and analyzing and processing the gas consumption by a plurality of second preset analysis rules to obtain a plurality of target gas consumption corresponding to various users, wherein the unit of the target gas consumption is granularity of hours, and the second preset analysis rules comprise a work coefficient method, an uneven coefficient method, a heat index method and an economic index method.

The embodiment of the application also discloses a device for constructing the gas pipe network model, which comprises:

The system comprises an acquisition module, a model building module and a model building module, wherein the acquisition module is used for acquiring target data in a target system according to a model building request when the model building request is received, and the target data comprises pipe network physical data, working condition data and load data;

the construction module is used for constructing an initial model according to the pipe network physical data;

the assignment module is used for assigning the initial model according to the working condition data to obtain an assigned initial model;

the analysis module is used for carrying out data analysis processing according to the load data to obtain a plurality of target gas consumption corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption;

and the generation module is used for assigning the target gas consumption to the corresponding position through the pipe network position information to generate a pipe network model.

Further, the acquisition module includes:

the first acquisition submodule is used for acquiring pipeline data in the geographic information system, wherein the pipeline data comprises a pipeline model, a pipeline material and a pipeline length, and the pipeline model, the pipeline material and the pipeline length are used for constructing and obtaining the pipe network physical data;

the second acquisition sub-module is used for acquiring gas pressure information and gas flow information in the data acquisition and monitoring control system, wherein the working condition data are constructed by the gas pressure information and the gas flow information;

The third acquisition sub-module is used for acquiring the gas consumption of the natural gas user and the address information of the natural gas user in the customer service system, wherein the load data is constructed by the gas consumption of the natural gas user and the address information of the natural gas user;

and the first determining submodule is used for determining the target data according to the pipe network physical data, the working condition data and the load data.

Further, the building module includes:

a fourth obtaining submodule, configured to obtain a pipe network file from the pipe network physical data, where the pipe network file includes a pipe network computer aided design drawing, a pipeline specification statistics table, gas station position information and valve position information;

the first correction submodule is used for carrying out network connectivity correction processing according to the network computer aided design drawing to obtain a corrected target network drawing;

the first generation submodule is used for generating the initial model according to the pipe network drawing, the pipeline specification statistical table, the gas station position information and the valve position information.

The embodiment of the application also discloses a computer device which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the steps of the gas pipe network model construction method when being executed by the processor.

The embodiment of the application also discloses a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps of the gas pipe network model construction method when being executed by a processor.

The application has the following advantages:

in the embodiment of the application, compared with the prior art of realizing economic and efficient transportation, safe and stable operation and flexible and reliable allocation of a pipe network system, which is a key problem faced by pipe network design operation, the application provides a solution of a gas pipe network model construction method, which comprises the following steps: when a model building request is received, acquiring target data in a target system according to the model building request, wherein the target data comprises pipe network physical data, working condition data and load data; constructing an initial model according to the pipe network physical data; assigning the initial model according to the working condition data to obtain an assigned model; performing data analysis processing according to the load data to obtain a plurality of target gas consumption corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption; and assigning the target gas consumption to a position corresponding to the assignment model through the pipe network position information to generate a pipe network model. The key problems of the design and operation of the pipe network are solved by 'how to realize the economic and efficient transportation, the safe and stable operation, the flexibility and the reliability of the pipe network system' through 'physical data of the pipe network, working condition data and load data', and 'physical data of the pipe network, namely, the physical data of the pipe network, such as information of position, pipe diameter, material, length and the like, are utilized'; in combination with operating condition data such as pressure, flow and temperature of the gas; load data such as the gas consumption of the end user and the user position are added; the digital model constructed by the method can be called based on mathematical characterization of the flowing process of the pipeline network, so that the flowing and changing process of natural gas in the pipeline network can be quantified, and the running states of various gas sources, users, pipelines and equipment of a backtracking pipeline network system can be accurately predicted and simulated, so that the method is a core technology for realizing safe and efficient design and running management of the pipeline network system, and is also an effect of supporting the foundation of intelligent pipeline transportation planning, scheme optimization and emergency guarantee under the intelligent pipeline network background.

Drawings

In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.

FIG. 1 is a flow chart of steps of a method for constructing a gas pipe network model according to an embodiment of the present application;

FIG. 2 is a block diagram of a gas pipe network model building device according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

In order that the manner in which the above recited objects, features and advantages of the present application are obtained will become more readily apparent, a more particular description of the application briefly described above will be rendered by reference to the appended drawings. It will be apparent that the described embodiments are some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The inventors found by analyzing the prior art that: the pipe network simulation technology is used for realizing the simulation of various operation conditions by carrying out a hydrodynamic calculation equation aiming at a large-scale complex pipe network of large natural gas. The natural gas pipe network physical model is built through a space tool, high-precision working condition regression calculation is realized by combining key stations and user terminal transcription data assignment, the running state of the underground whole pipe network is visually reproduced on a computer, key parameters which are important but not measurable for the pipe network running management such as pressure loss, air source coverage, pipe storage, flow rate, unit friction coefficient and the like are quantized, the core pipe network working condition is helped to be comprehensively controlled, each running or service department of a natural gas enterprise has unified cognition on the real running state of the pipe network, and according to the accurately restored pipe network working condition running state, the operating schemes such as pipe network optimization, air source storage and transportation, production scheduling, emergency rescue and the like are provided for management personnel, decision bases such as pipe network system investment, market development, air source planning and the like are provided, and the pipe network simulation technology is the most core algorithm and calculation force of the worldwide oil and gas industry.

Natural gas is increasingly on a larger scale in the energy market. The length of the natural gas conveying pipe network is longer and longer, and simulation research is needed to optimize the production operation of the pipe network. A natural gas transportation and distribution system in urban areas consists of hundreds of thousands of kilometers of pipeline. In addition, the pipeline is provided with numerous auxiliary equipment such as valves, pressure regulators and the like, so that the urban pipe network can be ensured to safely convey the natural gas to the user side.

The frictional resistance and heat transfer of the pipe walls can cause energy and pressure losses as the gas flows in the pipe network system. To ensure safe delivery of natural gas, natural gas usage specifications, gas source characteristics, and control device characteristics should be considered. For a complete gas transmission and distribution pipe network system, the influencing factors such as materials, lengths, pipe diameters and the like should be considered. In addition, factors such as gas composition, ambient temperature, and topography should be considered.

The method comprises the steps of constructing a full pipe network hydraulic model, dividing the pipe network into a plurality of loops through graph theory based on the topological relation of a real multi-pressure-level pipe network, pipe diameter, pipe material, flow rate and pressure data, converting a complex pipe network into a base ring coefficient matrix equation by utilizing a hydraulic analysis method of a multi-source ring network, analyzing and calculating by adopting a numerical method, abstracting the pipe network operation condition of an entity into a digital point-line relation by utilizing a computer technology, and truly reflecting the flow rate, pressure, flow rate, gas component, pressure loss and pipe storage condition of the pipe network.

The engineering design hydraulic calculation is a process of substituting the known quantity of a single pipeline into a hydraulic calculation formula to solve the pressure, the flow rate and the unit friction.

The basic mechanism is the same, and the parameters of the gas flowing state are obtained through a motion equation, a continuity equation and a state equation based on basic fluid mechanics.

The difference is that there is a difference in the analytical method:

in the process of analyzing the flowing state of the fuel gas, the pipe network simulation is carried out by a classical numerical method, such as: the finite difference method, the characteristic line method and the characteristic value method are used for solving characteristic equations such as pipelines, valves and pressure regulators, and then the hydraulic balance of the pipe network is obtained through a flow correction method, a node flow method and the like based on the compliance of mass conservation, momentum conservation and energy conservation equations, so that a calculation result is obtained. Therefore, the calculation and application analysis of the large pipe network with the complex structure of multiple pressure levels are satisfied.

The engineering design hydraulic calculation is to simplify the equation set and obtain the basic formula of the isothermal flow calculation of the fuel gas:

then, the variables such as the compression factor lambda are constants, and the variables are substituted into the known quantity to solve the pressure and flow information.

In summary, the difference between the pipe network simulation project and the engineering design hydraulic calculation is represented in the following three aspects:

firstly, based on the same principle, different tools are adopted, different analysis methods are applied, so that the application range is different, the pipe network simulation system exerts stronger computing power by virtue of the development of a computer, the working condition calculation of a pipe network with a multi-pressure-level complex structure is met, the accuracy is high, the calculation result is more similar to the actual state of gas operation, the actual production operation can be guided, and the actual business application in the aspects of gas source purchase distribution optimization, production scheduling scheme analysis, safety emergency plan deduction, emergency scheduling command assistance and the like are met; the engineering design hydraulic calculation is more flexible in calculation mode and more convenient to apply by using a classical formula, but the calculation process ignores part of variables, the calculation result tends to be more ideal, and directivity or trend judgment can be carried out according to the calculation result, such as planning service in the earlier stage of a pipe network, but guiding actual production operation deviation is larger.

Secondly, the engineering design hydraulic calculation only considers pipelines, and a special equation for analyzing equipment such as pressure regulators, valves and filters is absent, so that compared with a pipe network simulation project, the engineering design hydraulic calculation cannot realize the calculation and analysis of a multi-pressure-level pipe network.

Thirdly, under different flowing states, the gas has the most used analytical equation corresponding to various flowing states, the urban gas pipe network extends for thousands of kilometers, the flowing state of the gas in the pipe network is changed, and the accuracy of the engineering design hydraulic calculation can not be guaranteed as soon as the engineering design hydraulic calculation is calculated by a single classical formula.

The natural gas pipe network system is an integrated hydrodynamic system which is composed of various elements such as a gas source, a pipe network, a user, a gas storage and the like, wherein the scale is large, the integrated hydrodynamic system is complex, and the integrated hydrodynamic system is an important energy conveying infrastructure. Along with the continuous increase of the scale of the natural gas pipe network system, the structure is increasingly complex, the intelligent requirements are gradually improved, and how to realize the economic and efficient transportation, the safe and stable operation and the flexible and reliable allocation of the pipe network system is a key problem facing the design and operation of the pipe network; the method and the device for constructing the gas pipe network model are the key methods for solving the problem.

It should be noted that, in any embodiment of the present invention, the process of flowing natural gas in a pipeline is often regarded as the following two cases: one is that there is no heat exchange between the gas in the pipe and the external soil, i.e. the gas flows in an adiabatic manner; the other is that the gas in the pipe and the external soil are subjected to complete heat exchange, namely, the gas and the external soil keep the same temperature. The following assumptions are made for the transient flow process of natural gas in the pipe:

(1) the flow of the natural gas in the pipeline is regarded as one-dimensional flow, and the temperature of the natural gas in the micro-pipe is uniform;

(2) neglecting the influence of natural gas in the pipe on the environment outside the pipe, namely considering the temperature of soil outside the pipe to be constant;

(3) the heat transfer process is a stable heat transfer process;

(4) the inner wall of the pipeline is stable and consistent with the temperature of natural gas.

Neglecting the effect of elevation changes, the mathematical calculation formula is as follows:

the above equation set is written as follows:

the corresponding coefficients are as follows:

a ₁₃ ＝0 b ₁ ＝0a ₂₁ ＝0a ₂₃ ＝v/>

a ₃₃ ＝v/>

wherein: the parameters including pipe diameter A, length D, friction coefficient Z related to materials, pressure P, flow q, temperature T and the like are substituted into an equation as known quantities to obtain the unknown quantity.

The process of sorting the parameters and assigning various attributes according to the actual urban gas underground pipe network state is the process of constructing a gas pipe network digital model.

Referring to fig. 1, a step flowchart of a method for constructing a gas pipe network model according to an embodiment of the present application is shown;

a method of gas pipe network model construction, the method comprising:

s110, when a model building request is received, acquiring target data in a target system according to the model building request, wherein the target data comprises pipe network physical data, working condition data and load data;

s120, constructing an initial model according to the pipe network physical data;

s130, assigning the initial model according to the working condition data to obtain an assigned model;

s140, carrying out data analysis processing according to the load data to obtain a plurality of target gas consumption corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption;

s150, assigning the target gas consumption to the position corresponding to the assignment model through the pipe network position information to generate a pipe network model.

Next, a method for constructing a gas pipe network model in the present exemplary embodiment will be further described.

The pipe network model obtained after the assignment model is assigned needs to be repeatedly debugged according to the test operation result of the pipe network model, and relevant parameters are adjusted to fully fit the actual working condition. And in the pipe network model debugging stage, the implementation engineer verifies and confirms the relevant data of the key nodes, so that the accuracy of the operation result of the pipe network model is ensured.

When a model building request is received, target data is acquired in a target system according to the model building request, wherein the target data includes pipe network physical data, working condition data and load data, as described in the step S110.

In an embodiment of the present invention, the specific process of "when a request for building a model is received, acquiring target data in a target system according to the request for building a model" in step S110 may be further described in conjunction with the following description, where the target data includes pipe network physical data, operating mode data, and load data ".

As will be described in the following steps,

s210, acquiring pipeline data in the geographic information system, wherein the pipeline data comprises a pipeline model, a pipeline material and a pipeline length, and the pipeline model, the pipeline material and the pipeline length are used for constructing and obtaining the pipe network physical data;

S220, acquiring gas pressure information and gas flow information in the data acquisition and monitoring control system, wherein the working condition data are constructed by the gas pressure information and the gas flow information;

s230, acquiring gas consumption and natural gas user address information of a natural gas user in the customer service system, wherein the load data is constructed by the gas consumption and the natural gas user address information;

s240, determining the target data according to the pipe network physical data, the working condition data and the load data.

It should be noted that, pipe network physical data: physical properties of various devices forming the pipe network system, such as pipeline position, wall thickness, material, length and other data;

it should be noted that, the working condition data: the state parameters of natural gas generally refer to: pressure, flow, temperature, heat value;

load data: the location of the natural gas end users on the network and the consumption of natural gas by each user.

As an example, the construction of the gas pipe network model requires collecting related data, performing a series of processing on the data, and cooperatively completing the construction and operation of the model. In the process of collecting data, the integrity and the availability of the data need to be judged, specific requirements are put forward on the data according to actual conditions, and the accuracy of building a model is guaranteed. In the data collection stage, the availability of the data is evaluated according to the actual condition of the existing data, the data is combed according to the actual requirement, and the construction work of a support model is carried out; the pipe network physical data are based on CAD files, SHP files, completion data files and the like existing in gas enterprises, and mainly reflect physical properties of pipelines, wherein the physical properties comprise materials, outer diameters, lengths, models and the like; the working condition data are usually derived from a Scada system, namely a data acquisition and monitoring control system, and remotely transmitting and recording the pressure, flow, heat value and temperature of gas flowing in a pipe network; the load data is derived from the air consumption of the user provided by the customer service transcription system.

And as shown in the step S120, an initial model is constructed according to the pipe network physical data.

In one embodiment of the present invention, the specific process of "constructing an initial model from the pipe network physical data" described in step S120 may be further described in conjunction with the following description.

As will be described in the following steps,

s310, acquiring a pipe network file from the pipe network physical data, wherein the pipe network file comprises a pipe network computer aided design drawing, a pipeline specification statistical table, gas station position information and valve position information;

s320, performing pipe network connectivity correction processing according to the pipe network computer aided design drawing to obtain a corrected target pipe network drawing;

s330, generating the initial model according to the pipe network drawing, the pipeline specification statistical table, the gas station position information and the valve position information.

It should be noted that, the GIS system, that is, the geographic information system (GIS, geographic information system), is a subject that has been developed with the development of geographic science, computer technology, remote sensing technology, and information science; is a special and very important spatial information system. The system is a technical system for collecting, storing, managing, operating, analyzing, displaying and describing the related geographic distribution data in the whole or partial earth surface (including atmosphere) space under the support of a computer hard and software system.

It should be noted that CAD is known as CAD-Computer Aided Design, which is translated into a computer-aided design; the computer and the graphic equipment thereof are used for assisting the designer in carrying out design work.

As an example, according to the data such as a pipe network file, a CAD drawing and the like which are derived from a GIS system, matching data attributes, building a gas pipe network original model, namely an initial model, combing physical data on the basis of the pipe network original model, namely the initial model, correcting pipe network connectivity errors, determining gas station position information and valve position information, and completing the building work of a pipe network simulation model.

In a specific implementation, the shp is used for matching attributes in the CAD file or the data file of the geographic information system, such as pipe diameter, material quality, length and the like, each pipe is named in a unique mode, and physical attribute information is read through the unique name of each pipe to obtain an original model of the pipe network; then, based on the actual condition of the pipe network, detecting pipeline connectivity problems such as parallel pipelines, abnormally connected pipelines, crossing conditions, isolated pipelines (independent of pipelines outside the pipe network system) and the like, and checking and correcting the data model based on the real underground pipe network communication state to obtain an initial model; in the pipe network model building stage, implementation engineers need to verify the actual condition of the physical topological structure of the pipe network one by one, so that the accuracy of the pipe network model is ensured.

And (S130) assigning the initial model according to the working condition data to obtain an assignment model.

In an embodiment of the present invention, the specific process of "assigning the initial model according to the working condition data to obtain the assigned model" in step S130 may be further described in conjunction with the following description.

As will be described in the following steps,

s410, acquiring door station pressure flow data, pressure flow data of a pressure regulating station, pressure flow data of a monitoring point, monthly gas consumption meter reading data of industrial and commercial users and remote transmission system monitoring data from the working condition data;

s420, respectively determining corresponding time information and position information according to the gate station pressure flow data, the voltage regulating station pressure flow data and the monitoring point pressure flow data to obtain gate station pressure flow data with time attributes and position attributes, voltage regulating station pressure flow data with time attributes and position attributes and monitoring point pressure flow data with time attributes and position attributes;

s430, acquiring month gas consumption data of the business and civil users taking the hour as granularity and flow remote transmission data taking the hour as granularity according to month gas consumption meter reading data of the business and civil users and monitoring data of the remote transmission system through a first preset analysis rule, wherein the first preset analysis rule comprises a non-uniformity coefficient method, a working coefficient method, a heat index method and an economic index method;

S440, assigning the gate station pressure flow data with time attribute and position attribute, the pressure flow data of the pressure regulating station with time attribute and position attribute, the pressure flow data of the monitoring point with time attribute and position attribute, the monthly gas consumption data of the business and civil users with the granularity of hours and the flow remote transmission data with the granularity of hours to the initial model to obtain the assignment model.

It should be noted that the gate station refers to a receiving station for natural gas entering the city pipe network from the long-distance pipeline, and also refers to a city distribution station, which has the functions of detecting, filtering, metering, pressure regulating, heat tracing, odorizing, distributing, remote measuring/controlling, etc.

The working condition data comprise door station pressure flow data, pressure flow data of a pressure regulating station, pressure flow data of a monitoring point, monthly gas consumption meter reading data of industrial and commercial and civil users and remote system monitoring data, wherein the door station is a receiving station for natural gas entering an urban pipe network from a long-distance pipeline and is also an urban distribution station, and the door station has the functions of detecting, filtering, metering, pressure regulating, heat tracing, odorizing, distributing, remote telemetry/remote control and the like; the pressure regulating station is a facility for regulating and stabilizing the pressure of the pipeline network in the urban gas pipeline network system. It is usually composed of pressure regulator, filter, safety device, bypass pipe and measuring instrument.

As an example, a series of cleaning integration is required for working condition data, and the processed data is imported into the model to complete assignment of the model.

In a specific implementation, assigning values to the corrected original model, namely the initial model, to obtain an assignment model according to the positions of actual monitoring points by using data such as pressure, flow, temperature and heat value (or gas components) which can be monitored in a pipe network system; in the working condition data carding stage, an implementation engineer needs to comb and examine related data conditions and user information so as to ensure accuracy of model assignment.

In a specific implementation, the pressure data and flow data of the gate station and the pressure regulating station and the pressure data of the monitoring point need to be matched with time information and position information, namely, the pressure value at the moment of G position B is C, or the flow value at the moment of H position E is F, wherein G and H are specific longitude and latitude coordinates, and other modes capable of representing the position information are also included; b and E are specific times, i.e., including year, month, date, and specific hours, specific minutes, and specific seconds of a specific date; c is a specific pressure value; f is a specific flow value; the data party with the position tag and the time tag can realize initial model assignment.

In a specific implementation, the monthly gas consumption meter reading data of the business and civil users are required to convert the monthly gas consumption data into the hourly gas consumption data by using a numerical analysis method such as a non-uniform coefficient method, a simultaneous working coefficient method, a thermal index method, an economic index method and the like, so as to realize the initial model assignment.

In a specific implementation, the time granularity of the monitoring data of the remote transmission system is also different, and there are traffic remote transmission data taking 'day' as granularity and traffic remote transmission data taking 'minute' as granularity, and for the traffic remote transmission data taking 'day' as granularity, a non-uniform coefficient method is adopted to convert the time granularity of the data into 'hour'; and for the flow remote data taking 'minutes' as time granularity, acquiring the hour gas consumption data by adopting a mode of accumulating flow difference, and further performing initial model assignment after unifying the time granularity.

And step S140, performing data analysis according to the load data to obtain a plurality of target gas consumption corresponding to each type of user and a plurality of pipe network position information corresponding to the target gas consumption.

In an embodiment of the present invention, the specific process of "performing data analysis processing according to the load data to obtain a plurality of target gas consumption amounts corresponding to various users and a plurality of pipe network location information corresponding to the target gas consumption amounts" in step S140 may be further described in conjunction with the following description.

As will be described in the following steps,

s510, acquiring a plurality of air consumption of various users and a plurality of pipe network position information in the load data;

s520, analyzing and processing the gas consumption by a plurality of second preset analysis rules to obtain a plurality of target gas consumption corresponding to various users, wherein the unit of the target gas consumption is granularity of hours, and the second preset analysis rules comprise a work coefficient method, an inhomogeneous coefficient method, a heat index method and an economic index method.

The unit of the target gas consumption is the granularity in hours.

In a specific implementation, the gas consumption of each user is subjected to data analysis processing by adopting a simultaneous working coefficient method, a non-uniform coefficient method, a heat index method, an economic index method and the like, the target gas consumption of each user with the granularity of hours is obtained, the position of each user in an assignment model is determined, and the gas consumption data after processing and analysis are assigned to the corresponding position.

Example 1

In the patent, the gas pipe network model is constructed by processing physical data, working condition data and load data of the pipe network. The pipe network physical data is based on CAD files, SHP files, completion data files and the like existing in gas enterprises, mainly reflects physical properties (materials, outer diameters, lengths, models and the like) of pipes, the working condition data is usually derived from a Scada system, pressure, flow, heat value and temperature of gas flowing in the pipe network are remotely transmitted and recorded, and the load data is derived from gas consumption of a user provided by a customer service transcription system.

The method comprises the steps of firstly, reading a CAD file or a data file of a geographic information system, wherein the shp is matched with the CAD file or the data file of the geographic information system, naming each pipeline in a unique mode, reading physical attribute information through a unique name, detecting pipeline connectivity problems such as parallel pipelines, abnormally connected pipelines, crossing conditions, isolated pipelines (independent of pipelines outside a pipe network system) and the like based on the actual condition of the pipe network, and checking and correcting a data model based on the actual underground pipe network communication state to obtain an initial model.

And then, assigning values to the corrected original model, namely the initial model, to obtain an assigned model according to the positions of the actual monitoring points by using the monitored pressure, flow, temperature, heat value (or gas components) and other data in the pipe network system.

And finally, carrying out data analysis processing on the air consumption of various users by adopting a simultaneous working coefficient method, a non-uniform coefficient method, a heat index method, an economic index method and the like to obtain the air consumption of various users taking the hour as granularity, simultaneously determining the positions of the various users in an assignment model, and assigning the air consumption data after processing and analysis to the corresponding positions.

And after the three data are collected, the pipe network digital model construction is completed.

For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.

Referring to fig. 2, a block diagram of a gas pipe network model building device according to an embodiment of the present application is shown;

a gas pipe network model building device, the device comprising:

the obtaining module 210 is configured to obtain target data in a target system according to a model building request when receiving the model building request, where the target data includes pipe network physical data, working condition data and load data;

a construction module 220, configured to construct an initial model according to the pipe network physical data;

the assignment module 230 is configured to assign a value to the initial model according to the working condition data, so as to obtain an assigned initial model;

the analysis module 240 is configured to perform data analysis according to the load data to obtain a plurality of target gas consumption amounts corresponding to various users and a plurality of pipe network location information corresponding to the target gas consumption amounts;

and the generating module 250 is configured to assign the target gas consumption to a corresponding position according to the pipe network position information, and then generate a pipe network model.

In an embodiment of the present invention, the obtaining module 210 includes:

In one embodiment of the present invention, the construction module 220 includes:

In one embodiment of the present invention, the assignment module 230 includes:

a fifth acquisition sub-module, which is used for acquiring door station pressure flow data, pressure flow data of a pressure regulating station, pressure flow data of a monitoring point, monthly gas consumption meter reading data of industrial and commercial and civil users and remote transmission system monitoring data from the working condition data;

the second determining submodule is used for respectively determining corresponding time information and position information according to the gate station pressure flow data, the pressure regulating station pressure flow data and the monitoring point pressure flow data to obtain gate station pressure flow data with time attributes and position attributes, pressure regulating station pressure flow data with time attributes and position attributes and monitoring point pressure flow data with time attributes and position attributes;

the first processing sub-module is used for obtaining month gas consumption data of the business and civil users with the granularity of hours and flow remote transmission data with the granularity of hours according to month gas consumption meter reading data of the business and civil users and the remote transmission system monitoring data through a first preset analysis rule, wherein the first preset analysis rule comprises an inhomogeneous coefficient method, a working coefficient method, a thermal index method and an economic index method;

The first assignment sub-module is used for assigning the gate station pressure flow data with the time attribute and the position attribute, the voltage regulating station pressure flow data with the time attribute and the position attribute, the monitoring point pressure flow data with the time attribute and the position attribute, the monthly gas consumption data of the business and civil users with the granularity of an hour and the flow remote transmission data with the granularity of an hour to the initial model to obtain the assignment model.

In one embodiment of the present invention, the analysis module 240 includes:

a sixth obtaining submodule, configured to obtain a plurality of gas consumption amounts of various users and a plurality of pipe network location information from the load data;

and the second processing submodule is used for analyzing and processing the gas consumption by a plurality of second preset analysis rules to obtain a plurality of target gas consumption corresponding to various users, wherein the unit of the target gas consumption is granularity of hours, and the second preset analysis rules comprise a work coefficient method, an inhomogeneous coefficient method, a heat index method and an economic index method.

Referring to fig. 3, a computer device of a gas pipe network model construction method according to the present invention may specifically include the following:

The computer device 12 described above is embodied in the form of a general purpose computing device, and the components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.

Bus 18 represents one or more of several types of bus 18 structures, including a memory bus 18 or memory controller, a peripheral bus 18, an accelerated graphics port, a processor, or a local bus 18 using any of a variety of bus 18 architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus 18, micro channel architecture (MAC) bus 18, enhanced ISA bus 18, video Electronics Standards Association (VESA) local bus 18, and Peripheral Component Interconnect (PCI) bus 18.

Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.

The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (commonly referred to as a "hard disk drive"). Although not shown in fig. 3, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk such as a CD-ROM, DVD-ROM, or other optical media may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42, the program modules 42 being configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, a memory, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules 42, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.

The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, camera, etc.), one or more devices that enable a user to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet, through network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be appreciated that although not shown in fig. 3, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units 16, external disk drive arrays, RAID systems, tape drives, data backup storage systems 34, and the like.

The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing the gas pipe network model construction method provided by the embodiment of the present application.

That is, the processing unit 16 realizes when executing the program: when a model building request is received, acquiring target data in a target system according to the model building request, wherein the target data comprises pipe network physical data, working condition data and load data; constructing an initial model according to the pipe network physical data; assigning the initial model according to the working condition data to obtain an assigned model; performing data analysis processing according to the load data to obtain a plurality of target gas consumption corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption; and assigning the target gas consumption to a position corresponding to the assignment model through the pipe network position information to generate a pipe network model.

In the embodiments of the present application, the present application further provides a computer readable storage medium having a computer program stored thereon, where the program when executed by a processor implements the method for building a gas pipe network model according to all the embodiments of the present application:

That is, the program is implemented when executed by a processor: when a model building request is received, acquiring target data in a target system according to the model building request, wherein the target data comprises pipe network physical data, working condition data and load data; constructing an initial model according to the pipe network physical data; assigning the initial model according to the working condition data to obtain an assigned model; performing data analysis processing according to the load data to obtain a plurality of target gas consumption corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption; and assigning the target gas consumption to a position corresponding to the assignment model through the pipe network position information to generate a pipe network model.

Any combination of one or more computer readable media may be employed. The computer readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.

While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the application.

Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.

The above description of the method and the device for constructing the gas pipe network model provided by the application applies specific examples to describe the principle and the implementation of the application, and the description of the examples is only used for helping to understand the method and the core idea of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. The method for constructing the gas pipe network model is characterized by comprising the following steps of:

constructing an initial model according to the pipe network physical data;

2. The method of claim 1, wherein upon receiving the build model request, obtaining target data within a target system according to the build model request, wherein the target data comprises pipe network physical data, operating condition data, and load data, the target system comprises a geographic information system, a data acquisition and monitoring control system, a customer service system, and a remote monitoring system, comprising:

3. The method of claim 1, wherein the step of constructing an initial model from the pipe network physical data comprises:

4. The method of claim 1, wherein the step of assigning the initial model based on the operating condition data to obtain an assigned model comprises:

5. The method according to claim 1, wherein the step of performing data analysis processing according to the load data to obtain a plurality of target gas consumption amounts corresponding to various users and a plurality of pipe network position information corresponding to the target gas consumption amounts includes:

6. A gas pipe network model building device, characterized in that the device comprises:

7. The apparatus of claim 6, wherein the acquisition module comprises:

8. The apparatus of claim 6, wherein the build module comprises:

9. A computer device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, which computer program, when executed by the processor, implements the method of any one of claims 1 to 5.

10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method according to any of claims 1 to 5.