CN114387033A - Charging method and system based on natural gas energy - Google Patents
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Abstract
The embodiment of the specification provides a charging method and a charging system based on natural gas energy.
Description
Technical Field
The specification relates to the technical field of natural gas, in particular to a method and a system for charging based on natural gas energy.
Background
Since there may be multiple gas suppliers for the supply of natural gas, the energy contained in a unit volume of natural gas provided by each gas supplier may be different, and therefore the unit price per unit volume of natural gas provided by different gas suppliers may be different. On the other hand, the natural gas unit price may be different between the peak gas consumption period of the gas consumption region and other periods. Therefore, a method for accurately calculating the natural gas consumption amount is required.
Disclosure of Invention
One embodiment of the present description provides a method for billing based on natural gas energy. The charging method based on natural gas energy comprises the following steps: acquiring a metering value of natural gas used by a user in a time period to be measured based on metering equipment; and determining the natural gas consumption amount based on the metering value and the pricing scheme.
One of the embodiments of the present specification provides a billing system based on natural gas energy, including: the acquisition module is used for acquiring a metering value of the natural gas used by a user in a time period to be measured based on the metering equipment; and the pricing module is used for determining the natural gas consumption amount based on the metering value and the pricing scheme.
One of the embodiments of the present specification provides a device for charging based on natural gas energy, including a processor, where the processor is configured to execute a method for charging based on natural gas energy.
One of the embodiments of the present specification provides a computer-readable storage medium storing computer instructions, and when the computer instructions in the storage medium are read by a computer, the computer performs a billing method based on natural gas energy.
Drawings
The present description will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:
FIG. 1 is a schematic diagram of an application scenario of a natural gas energy based billing system according to some embodiments herein;
FIG. 2 is an exemplary flow diagram for natural gas energy based billing according to some embodiments herein;
FIG. 3 is a schematic illustration of a pricing method in a natural gas energy based billing method according to some embodiments herein;
FIG. 4 is a schematic illustration of a pricing method in a natural gas energy based billing method according to some embodiments herein;
FIG. 5 is a schematic illustration of a pricing method in a natural gas energy based billing method according to some embodiments herein;
fig. 6 is a schematic diagram of a modification model in a natural gas energy based billing method according to some embodiments herein.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, the present description can also be applied to other similar scenarios on the basis of these drawings without inventive effort. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Flow charts are used in this description to illustrate operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
Fig. 1 is a schematic diagram of an application scenario of a natural gas energy-based billing system according to some embodiments of the present description.
In some embodiments, a natural gas energy-based billing system may determine a natural gas consumption amount by implementing the methods and/or processes disclosed herein.
As shown in fig. 1, an application scenario 100 according to the embodiment of the present disclosure may include a processing device 110, a network 120, a delivery pipe network 130, a metering device 140, a delivery station 150, a gas utilization area 160, and a storage device 170.
The processing device 110 may be used to process data and/or information from at least one component of the application scenario 100 or an external data source (e.g., a cloud data center). The processing device 110 may access data and/or information from a delivery network 130, metering devices 140, delivery stations 150, gas usage areas 160, and storage devices 170 via the network 120.
The network 120 may include any suitable network that provides information and/or data exchange capable of facilitating the application scenario 100. In some embodiments, information and/or data may be exchanged between one or more components of the application scenario 100 (e.g., the processing device 110, the delivery pipe network 130, the metering device 140, the delivery station 150, the gas usage area 160, and the storage device 170) via the network 120.
In some embodiments, the network 120 may be any one or more of a wired network or a wireless network. In some embodiments, network 120 may include one or more network access points. For example, the network 120 may include wired or wireless network access points, such as base stations and/or network switching points 120-1, 120-2, …, through which one or more components of the scenario 100 may connect to the network 120 to exchange data and/or information.
The delivery network 130 may be used to deliver natural gas from the delivery station 150 to the gas usage area 160. In some embodiments, a plurality of branch lines are provided in the gas transmission network 130 for connection to a plurality of delivery sites and a plurality of gas usage zones 160. In some embodiments, the plurality of gas usage areas 160 may have a plurality of pipe networks according to the amount of gas usage and the pressure. In some embodiments, a metering device 140 is disposed in the delivery pipe network 130 for metering the delivery of natural gas.
The metering device 140 may be used to measure delivery volume as well as natural gas composition, temperature, pressure, etc. data. In some embodiments, the metering device 140 may be disposed at a gas transmission node of a transportation pipeline network and collect natural gas output data of the gas transmission node. In some embodiments, the metering device 140 may be located at a gas supply terminal or a gas supply node of a transportation pipeline network and collect natural gas energy and/or volume data for the gas supply terminal or the gas supply node.
The transfer station 150 may be used to transfer natural gas from a natural gas main network or natural gas storage through the transfer network 130 to the gas usage area 160. In some embodiments, the transfer station 150 may be provided with a natural gas energy metering terminal that may be used to monitor performance parameters of the natural gas at the transfer station, such as pressure, temperature, flow, composition, and the like. In some embodiments, the transfer station 150 may adjust the transfer parameters of the natural gas, such as the transfer pressure, the transfer flow rate, and the like.
In some embodiments, the transfer station 150 may be provided with a metering device for metering natural gas output data, such as output natural gas energy and/or volume data. In some embodiments, the transfer station 150 may send the statistical output data to the processing device 110 via the network 120.
The gas usage area 160 is referred to as a terminal area where natural gas is consumed. In some embodiments, the gas usage area 160 may include an urban residential gas usage area, a natural gas station area, an urban central heating area, a natural gas power generation area, an industrial gas usage area, and the like.
In some embodiments, the natural gas energy based billing system 100 may include an acquisition module and a pricing module.
And the acquisition module is used for acquiring the metering value of the natural gas used by the user in the time period to be measured. In some embodiments, the units of the metric may be volumetric units. In some embodiments, the acquisition module may include a metering device and an energy metering terminal. In some embodiments, the metering device may be configured to collect an initial metering value of the natural gas used by the user for a period of time to be measured; the metric of the natural gas may be derived based on a correction of the initial metric based on a correction model. For a detailed description of the modified model, see fig. 6 of the present application. The volume unit may be the amount of natural gas used in terms of volume, for example, one volume unit may be one cubic meter.
The initial metering value may be an original metering value of the natural gas delivered from each gas supplier (i.e., the end of the delivery pipe network 130), which may be provided by each natural gas supplier. The initial metering value may also be obtained based on the metering device 140 of the gas usage area 160.
In some embodiments, the unit of the measured value may be an energy unit, and the obtaining module may determine the measured value of the natural gas used by the user in the time period to be measured based on the detection parameter obtained by the natural gas energy measuring terminal. In some embodiments, the detection parameter may include at least one of temperature, pressure, composition, content, flow rate, compression factor, density, and calorific value.
And the pricing module is used for determining the natural gas consumption amount based on the metering value and the pricing scheme. In some embodiments, when the metric is a volume unit, the pricing scheme may include a volumetric unit price of one volume unit of natural gas. In some embodiments, the volume units of the natural gas of different constituent types are the same, and the volume unit prices are different. The volumetric unit price of the natural gas of the different constituent types may be determined based on an adjustment model.
In some embodiments, the adjustment model may determine the adjusted unit volume energy of the natural gas to be detected based on processing of the pre-adjustment unit volume energy and detection data of the natural gas to be detected; and then determining the volume unit price of the natural gas to be detected based on the adjusted energy per unit volume. For a detailed explanation of the adjustment model, reference may be made to fig. 3.
In some embodiments, the volume units of the natural gas of different constituent types are different, and the volume unit prices are the same. The volume units of the natural gas are different, the volume unit prices are the same, that is, under the condition of the same volume unit price, the volumes of the corresponding natural gases may be different, for example, because the gas suppliers have different gas suppliers or different time periods, the components of the natural gas supplied by the gas suppliers are not completely the same, different types of gas in the same volume may have different energy supplied by themselves, the different types of natural gas generate the same energy by adjusting the corresponding volumes of the different types of natural gas, under the condition of the same energy, the unit prices are also the same, and then the volumes corresponding to the same unit price are different.
In some embodiments, when the metric is an energy unit, the pricing scheme includes an energy unit price for the natural gas for the energy unit.
It should be understood that the system scenario and its modules shown in FIG. 1 may be implemented in a variety of ways. For example, in some embodiments, the scenario 100 may detect and analyze the gas data of the gas supplier and the gas client in one cycle, and then calculate the gas volume unit price and/or the energy unit price. In some embodiments, the scenario 100 may also detect and analyze natural gas data of the gas supplier and the user area in real time, and calculate natural gas volume and/or energy unit price in real time.
It should be noted that the above description of the billing system and its modules based on natural gas energy is for convenience of description only and should not limit the present disclosure within the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the present system, any combination of modules or sub-system configurations may be used to connect to other modules without departing from such teachings. In some embodiments, the obtaining module and the pricing module disclosed in fig. 1 may be different modules in a system, or may be a module that implements the functionality of two or more of the modules described above. For example, each module may share one memory module, and each module may have its own memory module. Such variations are within the scope of the present disclosure.
FIG. 2 is an exemplary flow diagram illustrating natural gas energy based billing in accordance with some embodiments herein. As shown in fig. 2, the process 200 includes the following steps. In some embodiments, flow 200 may be performed by processing device 110.
And step 210, acquiring a metering value of the natural gas used by the user in the time period to be measured. In some embodiments, step 210 is performed by an acquisition module.
The time period to be measured is a time period in which the amount of the natural gas used by the user needs to be measured, for example, 1 month and 1 day to 1 month and 10 days, or 8 to 10 points of 1 month and 1 day, and the like.
The metering value of the natural gas may represent the amount of natural gas used by the user during the period to be measured, and in some embodiments, may be obtained based on the output amount of the gas supplier statistics or obtained through a metering device at the user end.
In some embodiments, the metric may be a volumetric metric. I.e. the natural gas dosage is metered by volume. In some embodiments, the metric may be an energy metric, i.e., natural gas usage is calculated from energy.
The metering value of the natural gas can be obtained through the metering device 160, which can be a metering device of a gas supplier or a metering device of a user terminal. The types of metering devices may include diaphragm gas meters, gas roots gas meters, gas turbine gas meters, and the like. For more details on obtaining the metering value, see the contents of fig. 3 and 4.
And step 220, determining the natural gas consumption amount based on the metering value and the pricing scheme. In some embodiments, step 220 is performed by the pricing module.
The pricing scheme is a calculation scheme for calculating a consumption amount based on a metered value of the natural gas used by the user. In some embodiments, the pricing schemes can include volumetric pricing based pricing schemes and energy pricing based pricing schemes. For more description of the volumetric pricing based pricing scheme see fig. 3 and for more description of the energy pricing based pricing scheme see fig. 5.
Determining the consumption amount refers to determining the consumption amount corresponding to the natural gas used by the user based on the pricing mode and the corresponding metering data. For example, the consumption amount is determined by calculating the volume of the gas used by the user and the unit price of the volume based on the volume pricing, that is, when the metered value is the volume. As another example, the consumption amount is determined by calculating the energy of the natural gas used by the user and the unit price of the energy based on the energy pricing, i.e., when the metered value is energy.
It should be noted that the above description related to the flow 200 is only for illustration and description, and does not limit the applicable scope of the present specification. Various modifications and alterations to flow 200 will be apparent to those skilled in the art in light of this description. However, such modifications and variations are intended to be within the scope of the present description.
Fig. 3 is a schematic illustration of a pricing method in a natural gas energy based billing method according to some embodiments herein.
In some embodiments, the metric may be a volume value and the units of the metric may be units of volume.
The volume value refers to volume data corresponding to natural gas, and the volume unit can be a concept of a standard quantity for measuring the volume of the natural gas. In some embodiments, the natural gas may be metered by a variety of metering units. For example, cubic meters (m)3) Cubic feet (cf), standard cubic meters (Nm)3) And so on.
Volumetric unit price refers to the price per volume unit of natural gas. In some embodiments, the unit volume prices may be different for different metering regimes. For example, the price of 1 cubic meter of A natural gas is 2.5 yuan; the price of 1 standard cubic meter of A natural gas is 6.2 yuan, etc. In some embodiments, the volumetric unit price of natural gas may be priced uniformly based on industry regulations, or priced according to the supplier.
In some embodiments, the pricing scheme may include a volumetric unit price of one volumetric unit of natural gas. For example, natural gas with a methane content of 70% is 2.5 yuan for 1 cubic meter.
In some embodiments, in some pricing schemes, the volume units of the natural gases of different component types are different, and the volume unit prices are the same, and details of the pricing method related to this case may be described with reference to fig. 4 and its detailed description, which are not described herein again.
In some embodiments, there are instances in some pricing schemes where the volume units of different constituent types of natural gas are the same and the volume unit prices are different. For example, natural gas with a methane content of 70% is 2.5 yuan for 1 cubic meter; the price of 1 cubic meter of natural gas with 75 percent of methane is 2.8 yuan, etc.
The type of composition of natural gas refers to the main composition that makes up the natural gas. Such as methane, ethane, nitrogen, hydrogen sulfide, and the like. In some embodiments, natural gas of different compositions may be produced or the content of the components making up the natural gas may differ due to differences in the origin, production status, etc. of the natural gas.
In some embodiments, the composition type of the natural gas may be obtained by measurement with a metrology device, such as a meteorological chromatograph.
In some embodiments, the energy generated by combustion of the same volume unit of natural gas may be different based on the different compositions of natural gas, and thus the volume unit price may be different. For example, the more energy produced after combustion of natural gas, the higher the volumetric unit price may be. For example, 1 cubic meter of natural gas having a methane content of 70% is burnedThe released energy is 36MJ, which corresponds to a price of 2.5 yuan/m3(ii) a The energy released by combustion of 1 cubic meter of natural gas with a methane content of 75% is 40MJ, corresponding to a price of 2.8 yuan/m3。
Through some embodiments, a volumetric pricing natural gas pricing method can be provided based on the pricing scheme, and a more appropriate pricing scheme can be flexibly selected by processing equipment conveniently.
In some embodiments, the volumetric unit price of different constituent types of natural gas may be determined based on the adjustment model 320. In some embodiments, the adjustment model 320 may determine the adjusted energy per unit volume of the natural gas to be measured based on the pre-adjustment energy per unit volume of the natural gas to be measured and the processing of the detection data; and further determining the volume unit price of the natural gas to be measured based on the adjusted energy per unit volume.
The unit volume energy means an energy value released by combustion of a certain unit volume of natural gas. For example, a natural gas company provides a natural gas that releases 36MJ of energy per cubic meter of combustion.
The energy per unit volume 311 before adjustment is an energy value released by burning the natural gas, which is output from the gas supplier, per unit volume. In some embodiments, the energy per volume before adjustment may be determined experimentally by the gas supplier. For example, the energy per unit volume value before adjustment is 36 MJ.
The adjusted unit volume energy 330 refers to the amount of energy generated by the combustion of natural gas per unit volume during actual use by the user. For example, the adjusted energy per unit volume value is 33 MJ. In some embodiments, the volumetric unit price per unit volume of natural gas may be determined based on the adjusted energy per unit volume.
The detection data 312 refers to the relevant index parameters of the natural gas. In some embodiments, the detection data 312 may include temperature values, pressure values, etc. of the output natural gas collected by the natural gas supplier. In some embodiments, the detection data 312 may be acquired by a detection device corresponding to the detection data. For example, a temperature value of the natural gas may be acquired by a temperature sensor, a pressure value of the natural gas may be acquired by a pressure sensor, and the like.
In some embodiments, the adjustment model 320 may determine the adjusted energy per volume of the natural gas to be measured based on processing the pre-adjustment energy per volume of the natural gas to be measured and the detection data.
In some embodiments, the type of adjustment model 320 may be multiple. For example, the adaptation model 320 type may be a CNN model, a DNN model, or the like.
In some embodiments, the inputs to the adjustment model 320 include the pre-adjustment energy per volume 311, characteristics of the detection data 312; the output of the adjustment model 320 includes the adjusted energy per volume 330.
In some embodiments, the processing device may train an initial adjustment model based on multiple sets of training data, resulting in an adjustment model. Each set of training data comprises at least one data characteristic in the energy per unit volume and the detection data before adjustment, and the label of each set of training data represents an energy value.
In some embodiments, a loss function may be constructed from the tags and the results of the initial tuning model, and parameters of the tuning model are iteratively updated based on the loss function. And finishing model training when the loss function of the initial adjustment model meets the preset condition to obtain the trained adjustment model. The preset condition may be that the loss function converges, the number of iterations reaches a threshold, and the like.
In some embodiments, the volumetric unit price 350 of the natural gas to be measured may be determined based on the adjusted energy per volume.
In some embodiments, a volumetric unit price per unit volume 350 may be determined based on the pricing scheme 340 based on the adjusted energy per unit volume against the corresponding volumetric energy value. For example, the energy per unit volume before adjustment is 36MJ/m3When the volume unit price is 2.5 yuan/m3(ii) a The energy per unit volume after adjustment is 33MJ/m3When the volume unit price is updated to 2.24 yuan/m3。
Through some embodiments, the value of the energy per unit volume can be determined by acquiring the detection data which is easy to obtain, and the difficulty of the detection data is reduced, so that more reasonable natural gas consumption amount can be efficiently obtained.
Fig. 4 is a schematic illustration of a pricing method in a natural gas energy based billing method according to some embodiments herein.
In some embodiments, there are instances in some pricing schemes 340 where the volume units of different constituent types of natural gas are different and the volume unit prices are the same.
In some embodiments, the different volume units of the natural gases of different composition types are different from each other by adjusting the volume units corresponding to the different types of natural gases, so that the different types of natural gases generate the same energy based on different volumes, wherein the unit price of the different types of natural gases is the same, for example, the volume unit of the a natural gas is cubic meter, the volume unit of the B natural gas is cubic decimeter, the 1 cubic meter of the a natural gas is the same as the energy released when the 1 cubic meter of the B natural gas is combusted, and the price of the 1 cubic meter of the a natural gas is the same as the price of the 1 cubic decimeter of the B natural gas, so that the energy released by the different types of natural gases is the same under the condition of the same unit price.
In some embodiments, an initial metering value of the natural gas used by the user for the period of time to be measured may be collected based on the metering device.
The initial metering value 410 of the natural gas is a volume value of the natural gas counted by the gas supplier at the time of output or a volume value of the consumed natural gas counted by the user side.
In some embodiments, the initial metering value 410 of the natural gas may be acquired by a metering device collection. The metering device refers to a metering instrument for acquiring parameters related to natural gas, for example, a metering instrument such as a diaphragm gas meter, a gas roots gas meter and a gas turbine gas meter for acquiring volume data of natural gas.
In some real-time examples, the initial metric may be modified based on the modification model 420 to obtain the metric 430 for the natural gas. The consumption amount 440 is then obtained based on the natural gas metric 430 and the pricing plan 340.
In some embodiments, the type of the modification model 420 may be multiple. For example, the modification model 420 may be of a type that may be a CNN model, DNN model, or the like.
In some embodiments, the inputs to the modified model 420 include initial metrology values and the outputs include modified metrology values 430.
In some embodiments, the modification model 420 may be trained based on multiple sets of training data. Specific structure and training of the correction model can be referred to fig. 6 and its detailed description, which are not repeated herein.
In some embodiments, the final spending amount 450 may be obtained based on the metering value 430 and the pricing plan 440. For example, A natural gas has a methane content of 70% and releases 36MJ of energy when burned at 1 cubic meter, corresponding to a price of 2.5 yuan/m3(ii) a The initial natural gas B has a methane content of 75%, and the energy released during combustion of 1 cubic meter is 40MJ, corresponding to a price of 2.8 yuan/m3The energy released by the B natural gas per 0.93 cubic meters after correction is 36MJ, and the price is 2.5 yuan/0.93 m3. If user A uses V1Volumes of natural gas A and V2Volume of B natural gas, the final consumption amount of the user is 2.5 (V)1+V20.93) membered.
Through some embodiments described above, the corresponding volumes of the different types of natural gas are adjusted based on the modified model, so that the different types of natural gas produce the same energy at the same unit price corresponding to the volume, thereby obtaining a more reasonable pricing manner.
Fig. 5 is a schematic illustration of a pricing method in a natural gas energy based billing method according to some embodiments herein.
Fig. 5 shows the pricing when the metric is energy data. In some embodiments, pricing scheme 340 includes the energy unit price of natural gas for one energy unit.
The energy unit refers to the unit corresponding to the energy value released by the combustion of the natural gas with the specified volume parameter under the corresponding environment. In some embodiments, the unit of energy may be kilocalories per standard cubic meter (kcal/Nm)3) Megacal/standard cubic meters (Mcal/Nm)3) Or megajoules per standard cubic meter (MJ/Nm)3) Etc. of。
The unit price of energy refers to the price of natural gas in one unit of energy. For example, every 10MJ/Nm3The corresponding price is 0.6 yuan.
The natural gas energy metering terminal 510 is used for collecting various information of natural gas. In some embodiments, the natural gas energy metering terminal may be integrally formed from a variety of sensors.
In some embodiments, the content collected by the natural gas energy metering terminal may include temperature, pressure, composition, content, flow rate, compression factor, density, calorific value, and the like. For example, gas components and contents are measured using a component sensor such as a gas chromatograph; collecting the volume flow or mass flow of the gas by using gas metering devices such as an ultrasonic flowmeter, a membrane gas meter, a turbine flowmeter, a pore plate flowmeter, a nozzle flowmeter, a precession vortex flowmeter, a volumetric flowmeter, a mass flowmeter, a flow integrator, a flow computer and the like; measuring the temperature of the fuel gas by using a temperature sensor; measuring the pressure of the fuel gas by using a pressure sensor; the physical parameters such as compression factor, density and calorific value are provided by a gas supplier.
The detection parameters 520 refer to various information data about the natural gas. Such as temperature, pressure, volume, composition, flow rate, and the like.
In some embodiments, the natural gas energy metering terminal is disposed at the gas supply terminal or the gas supply node, and acquires natural gas detection parameters of the gas supply terminal or the gas supply node, and obtains the energy value based on the natural gas detection parameters. For example, obtaining chromatographic data of a natural gas sample by a chromatographic sensor; and acquiring volume data and the like of the natural gas sample through the ultrasonic sensor, and acquiring energy data corresponding to the volume data according to the chromatographic data and the volume data when the energy metering terminal receives the natural gas metering data.
In some embodiments, the energy value of the natural gas may be determined using an energy value calculation formula. As shown in equation (1):
wherein the content of the first and second substances,
heat generation, t, representing the true volume of natural gas1Denotes the combustion reference condition temperature, t2Denotes the temperature, p, of the metering reference condition2Indicating the measured reference pressure, VnThe volume of natural gas flow at standard conditions (20 ℃, one standard atmosphere) is indicated.
The specific technical solution for energy value calculation can be as follows:
step 1: the gas metering device (such as a natural gas energy metering terminal) receives natural gas component data measured by the gas chromatographic analyzer:
step 2: natural gas pressure P acquired by receiving pressure sensor in real time by gas metering devicetTemperature T acquired by data and temperature sensor in real timetData according to PtAnd TtMeasuring and calculating the temperature t of the measurement reference condition2Pressure p2Compression factor of Zmix；
And step 3: the gas metering device is based on the components and compression factor Z of natural gasmixAnd calculating the real volume heating value when the natural gas is used as the real gas
The real volume heating value
Comprises the following steps: metering reference condition temperature t2Pressure p2Per unit volume of natural gas at a combustion reference temperature t1Pressure p1Volume heating value of:
and 4, step 4: natural gas volume consumption V under actual temperature and pressure is measured to gas metering device's flow counting unittAnd the volume of the natural gas is used as VtConversion to a metrological reference condition temperature t2Pressure p2Volume flow V of natural gasn；
And 5: gas meteringThe device generates heat according to the real volume of the natural gas
And natural gas volume flow rate VnAnd (4) determining the energy E of the natural gas based on the formula (1) to finish energy metering.
In some embodiments, the spending amount 540 may be determined based on the final metering value 530 and the pricing scheme 340. For example, in a pricing scheme, every 10MJ/Nm3The price of the natural gas is 0.6 yuan, and the consumption amount of a user is 60 yuan if the natural gas with 1000MJ energy used by the user is obtained through calculation.
With some of the embodiments described above, the amount of consumption may be determined based on the same energy value, even when the user uses different volumes of natural gas of different compositions.
Fig. 6 is a schematic diagram of a modification model in a natural gas energy based billing method according to some embodiments herein.
The correction model 420 may be used to correct the initial metric to obtain the metric of the natural gas. In some embodiments, the modification model 420 may be a machine learning model, which may include, but is not limited to, one or more of a neural network model, a graph neural network model, a support vector machine model, a k-nearest neighbor model, a decision tree model, and the like.
In some embodiments, the inputs to the modified model 420 include an initial metric value, e.g., an initial volume value of natural gas; the output includes a metric, i.e., a target volume value for the natural gas.
As shown in fig. 6, the modification model may be obtained based on the trained first modification model 421 or second modification model 422.
In some embodiments, the input to the first rework model 421 may include a first initial metrology value 4211. For example, the gas supplier outputs a value of the volume of natural gas acquired by the detection device. The output of the first modified model may include a first modified metric value 4212.
In some embodiments, the input to the second modified model 422 may include a second initial metrology value 4221. For example, the gas supplier outputs a value of the volume of natural gas acquired by the detection device. The output of the second modified model may include a second modified metrology value 4222.
In some embodiments, the initial metrology values input in the first modified model and the second input model may be two different natural gases. For example, the first initial metric of the first modified model input may be a parameter associated with natural gas having a methane content of 70%; the initial metric of the second modified model input may be a parameter associated with natural gas having a methane content of 75%.
In some embodiments, the inputs to the energy difference model 423 may include a first modified metric 4212 and a second modified metric 4222; the output may comprise an energy difference 4231.
In some embodiments, the parameters of the modification model 420 may be obtained by training the first modification model 421 or the second modification model 422. In some embodiments, the first and second modified models 421 and 422 are structurally identical to the modified model 420; the first and second modification models 421 and 422 may be DNN models.
In some embodiments, the parameters of the first and second modified models may be shared.
In some embodiments, the first modification model, the second modification model, and the energy difference model may be obtained by joint training based on training samples. In some embodiments, the trained first modified model or the trained second modified model may be used as the modified model.
In some embodiments, the training samples of the first modified model and the second modified model may include a plurality of initial volume values of the historical natural gas. The tag may be an energy difference value corresponding to an initial volume value of two natural gases input to the first correction model and the second correction model, and the acquisition mode of the tag may be manual marking.
In some embodiments, the outputs of the first and second correction models are used as input energy models, a loss function is constructed based on the output of the energy difference model and the label, and the parameters of the first and second correction models and the energy difference model are simultaneously updated iteratively based on the loss function until the preset condition is met and the training is completed. Parameters of the revised model may also be determined after training is complete.
The parameters of the correction model are obtained through the training mode, and the problem that labels are difficult to obtain when the correction model is trained independently is solved under some conditions.
The beneficial effects that may be brought by the embodiments of the present description include, but are not limited to: (1) the value of the energy per unit volume can be determined by acquiring the detection data which is easy to obtain, and the difficulty of the detection data is reduced, so that more efficient and reasonable natural gas consumption amount is obtained; (2) adjusting the corresponding volumes of the natural gases of different types based on the correction model so as to enable the natural gases of different types to generate the same energy, thereby obtaining a more reasonable pricing mode; (3) the amount of consumption may be determined based on the same energy value, even when the user uses different volumes of natural gas of different compositions.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.
Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.
Additionally, the order in which the elements and sequences of the process are recited in the specification, the use of alphanumeric characters, or other designations, is not intended to limit the order in which the processes and methods of the specification occur, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document does not conform to or conflict with the contents of the present specification, it is to be understood that the application history document, as used herein in the present specification or appended claims, is intended to define the broadest scope of the present specification (whether presently or later in the specification) rather than the broadest scope of the present specification. It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.
Claims (10)
1. A billing method based on natural gas energy comprises the following steps:
acquiring a metering value of natural gas used by a user in a time period to be measured based on metering equipment; and the number of the first and second groups,
and determining the natural gas consumption amount based on the metering value and the pricing scheme.
2. The method of claim 1, the measure being in units of volume, the pricing scheme comprising a unit price per volume of the natural gas for one unit volume.
3. The method of claim 2, wherein the volumetric units of the natural gas of different constituent types are the same and the volumetric unit prices are different in the pricing scheme.
4. The method of claim 3, the volumetric unit price of the different constituent types of the natural gas being determined based on an adjustment model;
the adjustment model determines the unit volume energy of the natural gas to be detected after adjustment based on the processing of the unit volume energy of the natural gas to be detected before adjustment and detection data;
determining the volume unit price of the natural gas to be measured based on the adjusted energy per unit volume.
5. The method of claim 2, wherein the volumetric units of the natural gas of different constituent types are different in the pricing plan, the volumetric unit prices being the same.
6. The method of claim 5, wherein the obtaining a metric of natural gas usage by a user over a period of time to be measured comprises:
acquiring an initial metering value of the natural gas used by a user in a time period to be measured based on the metering equipment;
and correcting the initial metering value based on a correction model to obtain the metering value of the natural gas.
7. The method of claim 1, the measure being in units of energy, the pricing plan including a unit price of energy for the natural gas of one unit of energy.
8. The method of claim 7, wherein the obtaining a metric of natural gas usage by a user over a period of time to be measured comprises:
determining a metering value of natural gas used by a user in a time period to be measured based on detection parameters obtained by a natural gas energy metering terminal;
the detection parameters include at least one of temperature, pressure, composition, content, flow rate, compression factor, density, and calorific value.
9. A natural gas energy based billing system comprising:
the acquisition module is used for acquiring a metering value of the natural gas used by a user in a time period to be measured based on the metering equipment; and
and the pricing module is used for determining the natural gas consumption amount based on the metering value and the pricing scheme.
10. A computer-readable storage medium storing computer instructions, the computer executing the method for natural gas energy based billing according to any one of claims 1 to 8 when the computer instructions in the storage medium are read by the computer.
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| CN202210043934.8A CN114387033A (en) | 2022-01-14 | 2022-01-14 | Charging method and system based on natural gas energy |
| US17/649,340 US11592323B2 (en) | 2021-02-04 | 2022-01-28 | Methods and systems for measuring energy of natural gas in a full cycle |
| US18/064,284 US20230108087A1 (en) | 2021-02-04 | 2022-12-11 | Methods and systems for intelligent metering of natrural gas |
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