CN113221304A - Computing system and method for indirect energy assignment of natural gas pipe network - Google Patents
Computing system and method for indirect energy assignment of natural gas pipe network Download PDFInfo
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Abstract
The invention relates to a method and a system for calculating indirect energy assignment of a natural gas pipe network, which are characterized by comprising the following steps of: 1) acquiring real-time data of pressure, flow and natural gas heat value parameters of each gas source point and download point of a natural gas pipeline network to be detected; 2) calculating heat value parameters of each download point of the natural gas pipe network to be measured in real time by adopting an energy indirect assignment calculation model according to the received real-time data; 3) the method can be widely applied to the technical fields of natural gas long-distance pipelines, natural gas pipe network operation scheduling, multi-gas source mixed transportation, energy metering and assignment and the like.
Description
Technical Field
The invention relates to a computing system and method for indirect energy assignment of a natural gas pipe network, and belongs to the technical field of natural gas long-distance pipelines, natural gas pipe network operation scheduling, multi-gas-source mixed transportation, energy metering and assignment and the like.
Background
Along with interconnection and interconnection of Chinese natural gas pipelines and networking operation, natural gases with different gas qualities run in the same natural gas pipeline network and are mixed in a non-fixed proportion at different positions, and any gas source possibly changes along with time, so that the energy value of actually received natural gas at a download point and a user end is not fixed. In the case of a large number of delivery points and a large number of users, it is difficult to install expensive energy metering devices at each delivery point and each user end, and therefore, how to accurately estimate the energy value at each delivery point in different time periods becomes a very important problem.
According to the industry-related energy metering specification, the current method for dealing with the problem is mainly based on direct measurement of an energy metering device of a gas chromatographic analyzer and an energy transfer method based on the direct measurement, and for a download point and a user end which lack the energy metering device, the average value of the metering values of the download point with the energy metering device nearby is used for simple replacement. However, the actual energy value of the download point cannot be truly reflected in the mode, and the true measurement of the change of the natural gas energy value with time is more difficult to reflect.
Disclosure of Invention
In view of the above problems, the present invention provides a computing system and method for indirectly assigning energy to a natural gas pipeline network, which can reflect the real measurement of the change of the energy value of natural gas over time.
In order to achieve the purpose, the invention adopts the following technical scheme: a calculation method for indirect energy assignment of a natural gas pipe network comprises the following steps:
1) acquiring real-time data of pressure, flow and natural gas heat value parameters of each gas source point and download point of a natural gas pipeline network to be detected;
2) calculating heat value parameters of each download point of the natural gas pipe network to be measured in real time by adopting an energy indirect assignment calculation model according to the received real-time data;
3) and (3) carrying out real-time assignment on the heat value of each download point according to real-time calculated heat value parameters based on whether a gas chromatographic analyzer is arranged at each download point of the natural gas pipe network to be detected.
Further, the construction process of the energy indirect assignment calculation model in the step 2) is as follows:
2.1) taking the pipeline geometric parameters of the natural gas to be measured and the real-time data of the pressure, flow and natural gas heat value parameters of each gas source point and download point as the input parameters of the energy indirect assignment calculation model;
2.2) dividing the natural gas pipe network to be tested into areas or pipe sections comprising gas source points and download points with stable gas source mixing interfaces;
2.3) respectively calculating the daily average heat value of each download point of the natural gas pipe network to be detected;
2.4) calculating the hour average heat value of each load point of the natural gas pipe network to be measured by taking hours as units for each area or pipe section;
and 2.5) based on the requirement, assigning the daily average heat value or the hourly average heat value to each downloading point of the natural gas pipe network to be detected according to the obtained daily average heat value and the obtained hourly average heat value.
Further, the multiple air source points in the same flow direction in the step 2.2) are simplified into a single air source point according to the following mode:
Hs，3＝(Hs，1·Q1+Hs，2·Q2)/(Q1+Q2)
wherein Hs，3The mixed heat value of the gas source point 1 and the gas source point 2 after passing through a mixed interface is obtained; hs，1、Hs，2The heat values of the gas source point 1 and the gas source point 2 respectively; q1、Q2Mass flow rates of the gas source point 1 and the gas source point 2 respectively;
the oppositely flowing source points are divided into zones or pipe sections as follows:
Hs，BC＝[Hs，1·(Q1-QA)+Hs，2·(Q2-QD)]/[(Q1-QA)+(Q2-QD)]
wherein Hs，BCThe mixed heat value is the mixed heat value of the gas source point 1 and the gas source point 2 after flowing through the multi-gas source mixed interface respectively; qA、QDThe mass flow downloaded for user a and user D, respectively.
Further, the specific process of step 2.4) is as follows:
a) calculating the pipe stock of each area or pipe section by taking hours as a unit to obtain the hour pipe stock of each download point of the natural gas pipe network to be measured:
ΔQgrid(h)＝Qen(h)-Qex(h)
ΔQgrid(h)＝Qgrid(h)-Qgrid(h-1)＝Vgeo·Tn/T·[ρ(h)-ρ(h-1)]/ρn
wherein, is Δ Qgrid(h) The variable quantity of the natural gas mass storage in the pipeline at a certain time h; qen(h)、Qex(h) Respectively the mass flow of the natural gas entering and flowing out at a certain time h; qgrid(h) The mass storage of the natural gas in the pipeline at a certain time h; rhon、TnDensity and temperature under standard conditions, respectively; rho (h) and T are the actual density and temperature of the natural gas in the pipeline respectively; h is a certain moment; vgeoIs the geometric volume of the pipeline;
b) calculating the hour average heat value H of each download point according to the hour pipe storage of each download point by taking the hour as a unit step lengths，BC：
Hs，BC＝[Hs，1·(Q1-QA-ΔQ1A)+Hs，2·(Q2-QD-ΔQ2D)]/[(Q1-QA-ΔQ1A)+(Q2-QD-ΔQ2D)]
Wherein, is Δ Q1AFor varying the natural gas mass inventory in the length of pipeline from source point 1 to download point A at a certain momentMelting; delta Q2DIs the amount of change in the natural gas mass inventory in the length of the pipeline from the source point 2 to the drop point D at a time.
Further, the specific process of step 3) is as follows:
3.1) carrying out deviation analysis on the calculated heat value parameters and the metering data of the corresponding gas chromatographic analyzer for the download points of the natural gas pipe network to be measured metered by the gas chromatographic analyzer, and carrying out real-time assignment on the heat value of the corresponding download points according to deviation results;
and 3.2) for the download points without gas chromatographic analyzer measurement, the server directly takes the calculated heat value parameters as the heat values of the corresponding download points to carry out real-time assignment.
Further, the specific process of step 3.1) is as follows:
A) when the deviation is larger than a preset threshold value, subtracting the metering data of the gas chromatographic analyzer in a plurality of continuous hours from the real-time calculated heat value parameters by taking the latest continuous hours as time length units to obtain continuous deviation values, after removing abnormal deviation values, performing weighted average on the residual deviation values to obtain average deviation values, feeding the average deviation values back to an energy indirect assignment calculation model, and adding the average deviation values to a download point of a natural gas pipe network to be measured without the metering of the gas chromatographic analyzer on the basis of the real-time calculated heat value parameters;
B) and when the deviation is not greater than the preset threshold value, directly taking the calculated heat value parameter as the heat value of the corresponding download point for real-time assignment.
A computing system for indirectly assigning energy of a natural gas pipe network comprises a data acquisition and monitoring system interface machine, an intermediate production database interface machine and a server;
the data acquisition and monitoring system interface machine is connected with a field data acquisition and monitoring system server interface of a gas transmission pipe network control center and is used for receiving real-time data of pressure, flow and natural gas heat value parameters of each gas source point and download point of the natural gas pipe network to be detected;
the intermediate production database interface machine is used for sending real-time data of pressure, flow and natural gas heat value parameters of each gas source point and download point of the natural gas pipe network to be detected to the server;
the server is used for calculating heat value parameters of various downloading points of the natural gas pipe network to be detected in real time by adopting an energy indirect assignment calculation model according to received real-time data, and assigning the heat values of the various downloading points in real time based on whether a gas chromatographic analyzer is arranged at each downloading point of the natural gas pipe network to be detected or not.
Furthermore, a parameter setting module, a heat value parameter calculating module, a first heat value parameter assignment module and a second heat value parameter assignment module are arranged in the server;
the parameter setting module is used for presetting a deviation threshold;
the heat value parameter calculation module is used for calculating heat value parameters of various downloading points of the natural gas pipe network to be measured in real time by adopting an energy indirect assignment calculation model according to received real-time data;
the first heat value parameter assignment module is used for carrying out deviation analysis on the calculated heat value parameters and the metering data of the corresponding gas chromatographic analyzer for the download point of the natural gas pipe network to be measured, which is metered by the gas chromatographic analyzer, and carrying out real-time assignment on the heat value of the corresponding download point according to a deviation result;
and the second heat value parameter assignment module is used for directly assigning the calculated heat value parameters as the heat values of the corresponding download points in real time for the download points without measurement of the gas chromatographic analyzer.
A processor comprises computer program instructions, wherein the computer program instructions are used for realizing the steps corresponding to the calculation method for the indirect natural gas pipe network energy assignment when being executed by the processor.
A computer readable storage medium, wherein computer program instructions are stored on the computer readable storage medium, and when being executed by a processor, the computer program instructions are used for implementing the steps corresponding to the above calculation method for indirect natural gas pipe network energy assignment.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. the server is internally provided with the energy indirect assignment calculation model, so that the natural gas energy value of each downstream download point of the natural gas pipe network in the transient flow dynamic state can be accurately calculated and predicted, the practicability is obvious, and the necessity of installing the energy metering device based on the gas chromatographic analyzer in investment of each download point can be reduced.
2. The method is suitable for offline calculation, such as the production and access point arrangement of a newly added natural gas source, the access point arrangement of a newly added gas user, and the measurement and calculation of the influence of different access modes of the new gas source on the energy values of the download points at different positions of the existing pipe network, and can be widely applied to the technical fields of natural gas long-distance pipelines, natural gas pipe network operation scheduling, multi-gas-source mixed transportation, energy metering and assignment and the like.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a schematic diagram of the construction of an indirect energy assignment calculation model in the method of the present invention;
FIG. 3 is a schematic diagram of a natural gas pipe network multi-gas source co-flow direction mixing interface of an energy indirect assignment calculation model in the method of the invention;
FIG. 4 is a schematic diagram of a natural gas pipe network multi-gas source countercurrent mixing interface of an energy indirect assignment calculation model in the method.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order described or illustrated, unless specifically identified as an order of performance. It should also be understood that additional or alternative steps may be used.
Although the terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region, layer or section from another region, layer or section. Terms such as "first," "second," and other numerical terms when used herein do not imply a sequence or order unless clearly indicated by the context. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the example embodiments.
Example 1
As shown in fig. 1, the method for calculating the indirect energy assignment of the natural gas pipe network provided by the invention comprises the following steps:
1) an SCADA (Supervisory Control And Data Acquisition And monitoring system) interface machine is connected with an on-site SCADA server interface of a gas transmission pipe network Control center And receives real-time Data of pressure, flow And natural gas heat value parameters of each gas source point And download point of a natural gas pipe network to be detected.
2) And the SCADA interface machine sends the received real-time data to a server through the intermediate production database interface machine.
3) The server adopts an energy indirect assignment calculation model, calculates the heat value parameters of each download point of the natural gas pipe network to be detected in real time according to received real-time data, and assigns the heat values of the download points in real time based on whether each download point of the natural gas pipe network to be detected is provided with a gas chromatographic analyzer, and the method specifically comprises the following steps:
3.1) for the download point of the natural gas pipe network to be measured with the gas chromatographic analyzer, the server performs deviation analysis on the calculated heat value parameters and the measurement data corresponding to the gas chromatographic analyzer, and assigns the heat value of the corresponding download point in real time according to the deviation result:
A) when the deviation is larger than 3%, the server feeds the deviation back to the energy indirect assignment calculation model in real time for confirmation or manual parameter adjustment, namely, the latest continuous 1 hour is taken as a time length unit, the metering data of the gas chromatographic analyzer in the 1 hour is subtracted from the real-time calculated heat value parameters to obtain a continuous deviation value, after the abnormal deviation value is manually eliminated, the rest deviation value is weighted and averaged to obtain an average deviation value, the average deviation value is fed back to the energy indirect assignment calculation model, and the average deviation value is added to a download point of a natural gas pipe network to be measured without the metering of the gas chromatographic analyzer on the basis of the real-time calculated heat value parameters.
B) And when the deviation is not more than 3%, the server directly takes the calculated heat value parameter as the heat value of the corresponding download point to carry out real-time assignment.
And 3.2) for the download points without gas chromatographic analyzer measurement, the server directly takes the calculated heat value parameters as the heat values of the corresponding download points to carry out real-time assignment.
In the step 3), as shown in fig. 2, the construction process of the indirect energy assignment calculation model is as follows:
the method comprises the following steps of firstly, taking real-time data of pipeline geometric parameters of a natural gas pipeline network to be measured, pressure and flow of each gas source point and each load point and natural gas heat value parameters as input parameters of an energy indirect assignment calculation model.
Dividing the natural gas pipeline network to be tested into a plurality of areas or pipe sections comprising gas source points and download points with stable gas source mixing interfaces, wherein the gas source points in the same flow direction are simplified into a single gas source point according to the mode of figure 3:
Hs，3＝(Hs，1·Q1+Hs，2·Q2)/(Q1+Q2) (1)
wherein Hs，3The mixed heat value of the air source point 1 and the air source point 2 after passing through the air source mixed interface is obtained; hs，1、Hs，2The heat values of the gas source point 1 and the gas source point 2 respectively; q1、Q2Mass flow rates for source point 1 and source point 2, respectively.
The oppositely flowing gas source points are divided into zones or pipe sections in the manner of fig. 4, namely:
Hs，BC＝[Hs，1·(Q1-QA)+Hs，2·(Q2-QD)]/[(Q1-QA)+(Q2-QD)] (2)
wherein Hs，BCThe mixed heat value is the mixed heat value of the gas source point 1 and the gas source point 2 after flowing through the multi-gas source mixed interface respectively; qA、QDThe mass flow downloaded for user a and user D, respectively.
And thirdly, calculating the heat value of each download point of the natural gas pipe network to be detected according to the formulas (1) and (2) to obtain the mixed heat value of each download point.
And fourthly, because the change and the influence of the gas storage of the internal pipeline of the area or the pipe section are ignored in the process, the gas storage of the internal pipeline of the area or the pipe section is assumed to be periodically changed by taking the day as a unit, namely, the internal pipeline of the area or the pipe section is reduced to the initial time state at the time point of 24 hours every day, and the mixed heat value of each download point obtained by the third step is the daily average heat value of each download point.
Fifthly, under the condition of large pipeline pressure fluctuation, the gas quantity and influence of gas storage in the area or the pipe section are difficult to ignore, and the pipe storage quantity in the area or the pipe section is required to be calculated by taking hours as a unit to obtain the hour pipe storage quantity delta Q of each unloading point of the natural gas pipe network to be measuredgrid(h)：
ΔQgrid(h)＝Qen(h)-Qex(h) (3)
ΔQgrid(h)＝Qgrid(h)-Qgrid(h-1)＝Vgeo·Tn/T·[ρ(h)-ρ(h-1)]/ρn (4)
Wherein, is Δ Qgrid(h) The variable quantity of the natural gas mass storage in the pipeline at a certain time h; qen(h)、Qex(h) Respectively the mass flow of the natural gas entering and flowing out at a certain time h; qgrid(h) The mass storage of the natural gas in the pipeline at a certain time h; rhon、TnDensity and temperature under standard conditions, respectively; rho (h) and T are the actual density and temperature of the natural gas in the pipeline respectively; h is a certain moment; vgeoIs the geometric volume of the pipeline; and:
Pm＝2/3·[p2+P1·P1/(P1+P2)] (6)
wherein B is a Vieri coefficient; m is a molar molecular weight; rmIs a constant coefficient; p1、P2And PmRespectively the head pressure, the tail pressure and the mean pressure of the pipe section.
Sixthly, the quantity of the stored small pipes is delta Q according to each unloading pointgrid(h) Calculating the average hourly heating value H of each download point by taking the unit step length of the hours，BC：
Hs，BC＝[Hs，1·(Q1-QA-ΔQ1A)+Hs，2·(Q2-QD-ΔQ2D)]/[(Q1-QA-ΔQ1A)+(Q2-QD-ΔQ2D)](7)
Wherein, is Δ Q1AThe variable quantity of the natural gas mass storage in the pipeline length from the gas source point 1 to the section A at a certain moment; delta Q2DIs the amount of change in the natural gas mass inventory in the length of the pipeline from the source point 2 to the drop point D at a time.
And assigning the daily average heat value or the hour average heat value for each download point of the natural gas pipe network to be detected according to the obtained daily average heat value and the hour average heat value based on requirements.
Example 2
The computing system for indirectly assigning the energy of the natural gas pipe network comprises an SCADA interface machine, an intermediate production database interface machine and a server.
The SCADA interface machine is connected with an on-site SCADA server interface of the gas transmission pipe network control center and used for receiving real-time data of pressure, flow and natural gas heat value parameters of each gas source point and each download point of the natural gas pipe network to be detected.
The intermediate production database interface machine is used for sending real-time data of pressure, flow and natural gas heat value parameters of each gas source point and download point of the natural gas pipe network to be detected to the server.
The server is used for calculating heat value parameters of various downloading points of the natural gas pipe network to be detected in real time by adopting an energy indirect assignment calculation model according to received real-time data, and assigning the heat values of the various downloading points in real time based on whether a gas chromatographic analyzer is arranged at the various downloading points of the natural gas pipe network to be detected or not.
In a preferred embodiment, a parameter setting module, a heat value parameter calculating module, a first heat value parameter assigning module and a second heat value parameter assigning module are arranged in the server.
The parameter setting module is used for presetting a deviation threshold value.
And the heat value parameter calculation module is used for calculating heat value parameters of various downloading points of the natural gas pipe network to be detected in real time by adopting an energy indirect assignment calculation model according to the received real-time data.
And the first heat value parameter assignment module is used for carrying out deviation analysis on the calculated heat value parameters and the metering data of the corresponding gas chromatographic analyzer for the download point of the natural gas pipe network to be measured metered by the gas chromatographic analyzer, and carrying out real-time assignment on the heat value of the corresponding download point according to a deviation result.
And the second heat value parameter assignment module is used for directly assigning the calculated heat value parameters as the heat values of the corresponding download points in real time for the download points without measurement of the gas chromatographic analyzer.
Example 3
This embodiment provides a processing device corresponding to the method for calculating an indirect natural gas pipeline network energy value provided in this embodiment 1, where the processing device may be a processing device for a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, and the like, so as to execute the method in embodiment 1.
The processing equipment comprises a processor, a memory, a communication interface and a bus, wherein the processor, the memory and the communication interface are connected through the bus so as to complete mutual communication. The memory stores a computer program capable of running on the processor, and the processor executes the calculation method for indirectly assigning the energy to the natural gas pipe network provided by embodiment 1 when running the computer program.
In some implementations, the Memory may be a high-speed Random Access Memory (RAM), and may also include a non-volatile Memory, such as at least one disk Memory.
In other implementations, the processor may be various general-purpose processors such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), and the like, and is not limited herein.
Example 4
The method for calculating the indirect natural gas pipeline network energy assignment according to embodiment 1 may be embodied as a computer program product, and the computer program product may include a computer readable storage medium on which computer readable program instructions for executing the voice recognition method according to embodiment 1 are loaded.
The computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any combination of the foregoing.
The above embodiments are only used for illustrating the present invention, and the structure, connection mode, manufacturing process, etc. of the components may be changed, and all equivalent changes and modifications performed on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.
Claims (10)
1. A calculation method for indirect energy assignment of a natural gas pipe network is characterized by comprising the following steps:
1) acquiring real-time data of pressure, flow and natural gas heat value parameters of each gas source point and download point of a natural gas pipeline network to be detected;
2) calculating heat value parameters of each download point of the natural gas pipe network to be measured in real time by adopting an energy indirect assignment calculation model according to the received real-time data;
3) and (3) carrying out real-time assignment on the heat value of each download point according to real-time calculated heat value parameters based on whether a gas chromatographic analyzer is arranged at each download point of the natural gas pipe network to be detected.
2. The method for calculating the indirect energy assignment of the natural gas pipe network according to claim 1, wherein the construction process of the indirect energy assignment calculation model in the step 2) is as follows:
2.1) taking the pipeline geometric parameters of the natural gas to be measured and the real-time data of the pressure, flow and natural gas heat value parameters of each gas source point and download point as the input parameters of the energy indirect assignment calculation model;
2.2) dividing the natural gas pipe network to be tested into areas or pipe sections comprising gas source points and download points with stable gas source mixing interfaces;
2.3) respectively calculating the daily average heat value of each download point of the natural gas pipe network to be detected;
2.4) calculating the hour average heat value of each load point of the natural gas pipe network to be measured by taking hours as units for each area or pipe section;
and 2.5) based on the requirement, assigning the daily average heat value or the hourly average heat value to each downloading point of the natural gas pipe network to be detected according to the obtained daily average heat value and the obtained hourly average heat value.
3. The method for calculating the indirect energy assignment of the natural gas pipe network according to claim 2, wherein the plurality of gas source points in the same flow direction in the step 2.2) are simplified into a single gas source point according to the following mode:
Hs，3＝(Hs，1·Q1+Hs，2·Q2)/(Q1+Q2)
wherein Hs，3The mixed heat value of the gas source point 1 and the gas source point 2 after passing through a mixed interface is obtained; hs，1、Hs，2The heat values of the gas source point 1 and the gas source point 2 respectively; q1、Q2Mass flow rates of the gas source point 1 and the gas source point 2 respectively;
the oppositely flowing source points are divided into zones or pipe sections as follows:
Hs，BC＝[Hs，1·(Q1-QA)+Hs，2·(Q2-QD)]/[(Q1-QA)+(Q2-QD)]
wherein Hs，BCThe mixed heat value is the mixed heat value of the gas source point 1 and the gas source point 2 after flowing through the multi-gas source mixed interface respectively; qA、QDThe mass flow downloaded for user a and user D, respectively.
4. The method for calculating the indirect energy assignment of the natural gas pipe network according to claim 2, wherein the specific process of the step 2.4) is as follows:
a) calculating the pipe stock of each area or pipe section by taking hours as a unit to obtain the hour pipe stock of each download point of the natural gas pipe network to be measured:
ΔQgrid(h)＝Qen(h)-Qex(h)
ΔQgrid(h)＝Qgrid(h)-Qgrid(h-1)＝Vgeo·Tn/T·[ρ(h)-ρ(h-1)]/ρn
wherein, is Δ Qgrid(h) The variable quantity of the natural gas mass storage in the pipeline at a certain time h; qen(h)、Qex(h) Respectively the mass flow of the natural gas entering and flowing out at a certain time h; qgrid(h) The mass storage of the natural gas in the pipeline at a certain time h; rhon、TnDensity and temperature under standard conditions, respectively; rho (h) and T are the actual density and temperature of the natural gas in the pipeline respectively; h is a certain moment; vgeoIs the geometric volume of the pipeline;
b) root of herbaceous plantCalculating the average hourly heat value H of each download point according to the hourly pipe stock of each download point by taking the hour as a unit step lengths，BC：
Hs，BC＝[Hs，1·(Q1-QA-ΔQ1A)+Hs，2·(Q2-QD-ΔQ2D)]/[(Q1-QA-ΔQ1A)+(Q2-QD-ΔQ2D)]
Wherein, is Δ Q1AThe variable quantity of the natural gas mass storage in the pipeline length from the gas source point 1 to the section A at a certain moment; delta Q2DIs the amount of change in the natural gas mass inventory in the length of the pipeline from the source point 2 to the drop point D at a time.
5. The method for calculating the indirect energy assignment of the natural gas pipe network according to claim 1, wherein the specific process of the step 3) is as follows:
3.1) carrying out deviation analysis on the calculated heat value parameters and the metering data of the corresponding gas chromatographic analyzer for the download points of the natural gas pipe network to be measured metered by the gas chromatographic analyzer, and carrying out real-time assignment on the heat value of the corresponding download points according to deviation results;
and 3.2) for the download points without gas chromatographic analyzer measurement, the server directly takes the calculated heat value parameters as the heat values of the corresponding download points to carry out real-time assignment.
6. The method for calculating the indirect assignment of the energy of the natural gas pipe network according to claim 5, wherein the specific process of the step 3.1) is as follows:
A) when the deviation is larger than a preset threshold value, subtracting the metering data of the gas chromatographic analyzer in a plurality of continuous hours from the real-time calculated heat value parameters by taking the latest continuous hours as time length units to obtain continuous deviation values, after removing abnormal deviation values, performing weighted average on the residual deviation values to obtain average deviation values, feeding the average deviation values back to an energy indirect assignment calculation model, and adding the average deviation values to a download point of a natural gas pipe network to be measured without the metering of the gas chromatographic analyzer on the basis of the real-time calculated heat value parameters;
B) and when the deviation is not greater than the preset threshold value, directly taking the calculated heat value parameter as the heat value of the corresponding download point for real-time assignment.
7. A computing system for indirectly assigning energy of a natural gas pipe network is characterized by comprising a data acquisition and monitoring system interface machine, an intermediate production database interface machine and a server;
the data acquisition and monitoring system interface machine is connected with a field data acquisition and monitoring system server interface of a gas transmission pipe network control center and is used for receiving real-time data of pressure, flow and natural gas heat value parameters of each gas source point and download point of the natural gas pipe network to be detected;
the intermediate production database interface machine is used for sending real-time data of pressure, flow and natural gas heat value parameters of each gas source point and download point of the natural gas pipe network to be detected to the server;
the server is used for calculating heat value parameters of various downloading points of the natural gas pipe network to be detected in real time by adopting an energy indirect assignment calculation model according to received real-time data, and assigning the heat values of the various downloading points in real time based on whether a gas chromatographic analyzer is arranged at each downloading point of the natural gas pipe network to be detected or not.
8. The system for indirectly assigning values of energy in a natural gas pipe network according to claim 7, wherein a parameter setting module, a calorific value parameter calculating module, a first calorific value parameter assigning module and a second calorific value parameter assigning module are arranged in the server;
the parameter setting module is used for presetting a deviation threshold;
the heat value parameter calculation module is used for calculating heat value parameters of various downloading points of the natural gas pipe network to be measured in real time by adopting an energy indirect assignment calculation model according to received real-time data;
the first heat value parameter assignment module is used for carrying out deviation analysis on the calculated heat value parameters and the metering data of the corresponding gas chromatographic analyzer for the download point of the natural gas pipe network to be measured, which is metered by the gas chromatographic analyzer, and carrying out real-time assignment on the heat value of the corresponding download point according to a deviation result;
and the second heat value parameter assignment module is used for directly assigning the calculated heat value parameters as the heat values of the corresponding download points in real time for the download points without measurement of the gas chromatographic analyzer.
9. A processor, characterized by comprising computer program instructions, wherein the computer program instructions, when executed by the processor, are configured to implement the steps corresponding to the method for calculating an indirect natural gas pipe network energy value according to any one of claims 1 to 6.
10. A computer-readable storage medium, wherein computer program instructions are stored on the computer-readable storage medium, and when executed by a processor, the computer program instructions are used for implementing the steps corresponding to the method for calculating the indirect natural gas pipe network energy value according to any one of claims 1 to 6.
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