CN114819222A - LNG distributed energy fuel gas transmission difference management method and system based on Internet of things - Google Patents
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Abstract
The invention discloses an LNG distributed energy fuel gas transmission difference management method and system based on the Internet of things, wherein the method comprises the following steps: the LNG energy management platform establishes a micro-pipe network model according to the distributed LNG energy object platform arrangement; the method comprises the steps of obtaining LNG energy object platform data, and uploading the obtained LNG energy object platform data to an LNG energy management platform through a sensing network platform; the LNG energy management platform analyzes the real-time data of the LNG energy object platform, carries out maintenance scheduling according to the analysis result, and sends warning information to the LNG energy user platform through the LNG energy service platform. The method can improve the calculation accuracy of the LNG energy gas transmission difference value and the LNG energy gas transmission difference rate, so that the enterprise scheduling staff can conveniently carry out maintenance, and the economic loss of the enterprise is greatly avoided.
Description
Technical Field
The invention relates to the technical field of gas management, in particular to an LNG distributed energy gas transmission difference management method and system based on the Internet of things.
Background
Natural gas is a combustible gas in the formation, mainly a mixture of low molecular alkanes, and can be divided into dry natural gas and wet natural gas, wherein the dry gas mainly contains methane, and the wet natural gas contains a large amount of ethane, propane, butane and the like besides methane. Department such as national energy agency's oil and gas department publishes Chinese Natural gas development report (2021), which shows: the natural gas multi-supply system in China is continuously improved, and one net in China is basically formed. 4.6 ten thousand kilometers of long-distance pipelines are built up in an accumulated way, and the total mileage of the natural gas pipelines in China reaches about 11 ten thousand kilometers. However, in areas with underdeveloped economy such as suburban counties, mountainous areas, and rural areas and areas with insufficient pipeline radiation, natural gas with obvious advantages, safety, and cleanness cannot be used for life and work. According to statistics, nearly 6 hundred million people in China still cannot use natural gas at present. However, the gas markets in suburban counties, mountainous areas and rural areas are potential markets of town gas, the energy supply of the areas is an integral part of the whole national energy system, and the supply and consumption of the areas necessarily influence the supply and demand situation of Chinese energy. At present, the key points of city construction gradually shift from urban areas to suburban counties, mountainous areas and rural strategies, and an efficient, safe and economic energy supply system needs to be established.
Liquefied Natural Gas (LNG), whose main component is methane, is known as the cleanest fossil energy on earth. The liquefied natural gas is colorless, tasteless, nontoxic and noncorrosive, the volume of the liquefied natural gas is about 1/625 of the volume of the same amount of gaseous natural gas, and the mass of the liquefied natural gas is only about 45 percent of the same volume of water. The advent of LNG (liquefied natural gas) has enabled significant changes in the energy structure of natural gas. The application scene of the natural gas is changed into the application scene which can be built by the natural gas storage and transportation equipment without depending on pipelines and pipe transmission, and the requirements of more users are met.
The pipeline natural gas is most suitable for areas with large gas consumption and concentrated population distribution. However, in recent years, the pipeline laying cost is increased year by year, the investment is increased, the operation cost is high, and the pipe conveying capacity reaches the upper limit. LNG has the characteristics of high safety, wide application range, strong economy and good convenience, and LNG gas supply can be preferentially considered in areas unsuitable for laying pipelines. In the LNG gas supply and use process, a gas transmission difference is inevitably generated, and the difference between an input trade metering value and an output trade metering value of a fluid medium in the transmission process is generated in a specific time period. It is divided into absolute difference and relative difference, and generally speaking, the absolute difference refers to the difference between the purchased gas quantity and the gas sales quantity, also called supply and sale difference. The ratio of the supply and sales difference amount to the gas purchase amount is called the supply and sales difference rate (difference rate) and also called the relative difference, and the normal difference is the relative difference, and the conventional difference calculation method is as follows: gas transportation difference is (gas purchase amount-gas sales amount)/gas purchase amount x 100%. However, the calculation method cannot effectively display the real output difference value, and cannot display the pipeline output differences with problems, and when the LNG energy gas has an output problem, huge economic losses are inevitably brought to enterprises.
Disclosure of Invention
One of the purposes of the invention is to provide an LNG distributed energy fuel gas transmission difference management method based on the Internet of things, and the technical problems that due to the fact that LNG distributed energy fuel gas transmission difference is inaccurate in calculation and abnormal transmission differences of pipelines cannot be specifically displayed, overhauling is not timely, and economic benefits of enterprises are seriously affected are solved.
The first purpose of the invention is realized by adopting the following technical scheme (means): the LNG distributed energy fuel gas transmission difference management method comprises the following steps:
the LNG energy management platform establishes a micro-pipe network model according to the distributed LNG energy object platform arrangement, and defines node parameters in the micro-pipe network model;
the method comprises the steps of obtaining LNG energy object platform data, and uploading the obtained LNG energy object platform data to an LNG energy management platform through a sensing network platform;
the LNG energy management platform analyzes real-time data of the LNG energy object platform on the basis of the micro-pipe network model, sends warning information to the LNG energy user platform through the LNG energy service platform according to an analysis result, and carries out maintenance scheduling according to an instruction sent by the LNG energy user platform.
Specifically, the LNG energy object platform comprises a vaporization intelligent terminal and an intelligent gas meter which are distributed and arranged at a user side, a micro-pipe network model of the vaporization intelligent terminal and the intelligent gas meter at the user side is established through a micro-pipe network drawing module in the LNG energy management platform, the micro-pipe network model comprises a flow meter arranged between the vaporization intelligent terminal and the intelligent gas meter, and the LNG energy object platform further comprises a gas source, an LNG storage tank, a heat exchanger and a valve which are controlled by the vaporization intelligent terminal.
Specifically, the micro-pipe network drawing module adopts a Python and Matlab mixed programming technology to establish a micro-pipe network model.
Specifically, the micro-pipe network drawing module performs node parameter definition according to the length of an LNG user side pipeline, after the node parameter of the micro-pipe network model is defined, a mathematical model needs to be established, the mathematical model is used as input of a data analysis module in the LNG energy management platform, and analysis is performed by combining LNG energy object platform data.
Specifically, the mathematical model establishing method comprises the following steps: enabling each flowmeter and node of LNG user end pipeline to pass through correlation matrix A ═ a ij ]Establishing a mathematical model, wherein i is a flow meter, j is a node, and the position relation of the flow meter corresponding to the node is as follows:
specifically, the sensing network platform comprises a vaporization intelligent terminal sensing network module and an intelligent gas meter sensing network terminal, wherein the vaporization intelligent terminal sensing network module uploads LNG input and output gas quantity, self-consumption gas quantity and emptying gas quantity data acquired by the vaporization intelligent terminal by adopting an SCADA system; the intelligent gas meter sensing network terminal uploads LNG user gas usage data by adopting NB and LoRa wireless communication networks.
Specifically, the data analysis module calculates the energy transmission difference and the transmission difference rate of the LNG user side by combining the real-time data of the LNG energy object platform on the basis of the mathematical model:
Q difference (D) ＝(V 1 +Q 1 )-(Q 2 +Q 3 +V 2 )
In the formula, Q Difference (D) Is the difference of gas transmission volume in the pipeline in a certain period, V 1 For calculating the gas reserve in the pipeline at the beginning of the difference between the outputs, Q 1 For calculating input gas quantity, Q, in the period of time of output difference 2 For calculating the consumption of gas in the period of lost motion, Q 3 For calculating the amount of discharged air during the transit time, V 2 To calculate the gas storage capacity in the pipeline at the end of the difference transportation, η is the difference transportation rate.
Specifically, the LNG energy management platform further comprises a result output module and an alarm module, wherein the result output module graphically shows the result obtained by the data analysis module; the alarm module monitors an output result of the data analysis module in real time, and if the LNG energy fuel gas transmission rate exceeds a threshold value, alarm information is generated and sent to the user platform through the LNG energy service platform.
Specifically, the LNG energy management platform further comprises a scheduling module, wherein the scheduling module acquires the alarm information of the alarm module and generates a scheduling instruction, and scheduling workers implement planned maintenance to reduce the loss of LNG energy.
Specifically, the LNG energy service platform comprises a data transmission module, and the data transmission module realizes data transmission between the LNG energy user platform and the LNG energy management platform in a wired and/or wireless communication manner.
The second invention aims to provide an LNG distributed energy gas transmission difference management system based on the Internet of things, and the system can be used for solving the technical problems that due to the fact that LNG energy gas transmission difference is not accurately calculated, and the transmission difference of pipelines cannot be specifically displayed to be abnormal, overhauling is not timely, and economic benefits of enterprises are seriously affected.
The second invention purpose of the invention is realized by adopting the following technical means: the system comprises an LNG energy object platform, a sensing network platform, an LNG energy management platform, an LNG energy service platform and an LNG energy user platform, wherein the LNG energy object platform comprises a vaporization intelligent terminal and an intelligent gas meter which are distributed on a user side; the intelligent gas meter sensing network terminal uploads LNG user gas usage amount data by adopting NB and LoRa wireless communication networks, and the LNG energy management platform further comprises a data analysis module, a result output module, an alarm module and a scheduling module; the data analysis module is used for calculating and analyzing the energy transmission difference and the transmission difference rate of the LNG user side; the result output module graphically displays the result obtained by the data analysis module; the alarm module monitors an output result of the data analysis module in real time, and if the LNG energy fuel gas transmission rate exceeds a threshold value, alarm information is generated and sent to the user platform through the LNG energy service platform; the dispatching module acquires the alarm information of the alarm module, generates a debugging instruction, and dispatches workers to implement planned maintenance so as to reduce the loss of LNG energy.
The invention has the beneficial effects that: the calculation accuracy of the LNG energy gas transmission difference value and the LNG energy gas transmission difference rate can be improved, and the pipeline with the transmission difference abnormality can be accurately displayed through the micro-pipe network model, so that the enterprise scheduling staff can conveniently overhaul and maintain, and the economic loss of the enterprise is avoided to the great extent.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a block diagram of the system of the present invention;
FIG. 3 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Example 1:
referring to fig. 1 to 3, an LNG distributed energy fuel gas transmission difference management method based on the internet of things includes the following steps:
the LNG energy management platform establishes a micro-pipe network model according to the distributed LNG energy object platform arrangement, and defines node parameters in the micro-pipe network model;
the method comprises the steps of obtaining LNG energy object platform data, and uploading the obtained LNG energy object platform data to an LNG energy management platform through a sensing network platform;
the LNG energy management platform analyzes real-time data of the LNG energy object platform on the basis of the micro-pipe network model, sends warning information to the LNG energy user platform through the LNG energy service platform according to an analysis result, and carries out maintenance scheduling according to an instruction sent by the LNG energy user platform.
Furthermore, the LNG energy object platform comprises a vaporization intelligent terminal and an intelligent gas meter which are distributed and arranged at a user side, a micro-pipe network model of the vaporization intelligent terminal and the intelligent gas meter at the user side is established through a micro-pipe network drawing module in the LNG energy management platform, the micro-pipe network model comprises a flow meter arranged between the vaporization intelligent terminal and the intelligent gas meter, and the LNG energy object platform also comprises a gas source, an LNG storage tank, a heat exchanger and a valve which are controlled by the vaporization intelligent terminal.
Further, the micro-pipe network drawing module adopts a Python and Matlab mixed programming technology to establish a micro-pipe network model.
Furthermore, the micro-pipe network drawing module performs node parameter definition according to the length of the LNG user side pipeline, after the node parameter of the micro-pipe network model is defined, a mathematical model needs to be established, the mathematical model is used as the input of a data analysis module in the LNG energy management platform, and the data is analyzed by combining the LNG energy object platform data.
Further, the mathematical model is established by the following method: enabling each flowmeter and node of LNG user end pipeline to pass through correlation matrix A ═ a ij ]Establishing a mathematical model, wherein i is a flow meter, j is a node, and the position relation of the flow meter corresponding to the node is as follows:
further, the sensor network platform comprises a vaporization intelligent terminal sensor network module And an intelligent gas meter sensor network terminal, the vaporization intelligent terminal sensor network module uploads LNG input And output gas volume, self-gas consumption volume And gas discharge volume Data acquired by the vaporization intelligent terminal by adopting an SCADA (supervisory Control And Data acquisition) system, namely a Data acquisition And monitoring Control system. The SCADA system is a DCS and electric power automatic monitoring system based on a computer; the method has wide application field, and can be applied to a plurality of fields such as data acquisition and monitoring control, process control and the like in the fields of electric power, metallurgy, petroleum, chemical industry, gas, railways and the like. Communication in the SCADA system is divided into internal communication, communication with I/O devices, and external communication. There are generally three types of communication between clients and servers and between servers, request, subscription and broadcast. The device driver and the I/O device generally use an on-demand method, and most devices support this communication method, although some devices support an active transmission method. The SCADA communicates with the outside world in a number of ways. For example, OPC, typically provides an OPC client for communicating with an OPC server provided by a device manufacturer. Because OPC has the standard established by Microsoft, OPC clients can communicate with OPC servers provided by various households without modification. The intelligent gas meter sensing network terminal uploads LNG user gas usage data by adopting NB and LoRa wireless communication networks.
Further, the data analysis module calculates the energy transmission difference and the transmission difference rate of the LNG user side by combining the real-time data of the LNG energy object platform on the basis of the mathematical model:
Q difference (D) ＝(V 1 +Q 1 )-(Q 2 +Q 3 +V 2 )
In the formula, Q Difference (D) Is the difference of gas transmission volume in the pipeline in a certain period, V 1 For calculating the gas reserve in the pipeline at the beginning of the difference between the outputs, Q 1 For calculating input gas quantity, Q, in the period of time of output difference 2 For calculating the consumption of gas in the period of lost motion, Q 3 For calculating the amount of discharged air during the transit time, V 2 For calculating the pipeline at the end of the transit timeThe stored gas quantity in the reactor, eta is the transport difference rate.
Further, said V 1 And V 2 Are calculated using the following formula:
293.15*V*P/(T*0.101325*Z)
wherein V is the pipeline volume, P is the pressure in the pipeline at the beginning of calculating the difference between two inputs or at the end of calculating the difference between two inputs, T is the temperature in the pipeline at the beginning of calculating the difference between two inputs or at the end of calculating the difference between two inputs, and Z is the compression factor.
Further, said Q 1 Obtainable by a vaporising intelligent terminal, Q 2 Can be obtained by an intelligent gas meter, Q 3 May be captured by a flow meter within the corresponding pipeline.
Further, the LNG energy management platform also comprises a result output module and an alarm module, wherein the result output module graphically shows the result obtained by the data analysis module; the alarm module monitors an output result of the data analysis module in real time, and if the LNG energy fuel gas transmission rate exceeds a threshold value, alarm information is generated and sent to the user platform through the LNG energy service platform.
Furthermore, the LNG energy management platform further comprises a scheduling module, wherein the scheduling module acquires the alarm information of the alarm module, generates a scheduling instruction, and schedules workers to implement planned maintenance so as to reduce the loss of LNG energy.
Further, the LNG energy service platform includes a data transmission module, and the data transmission module implements data transmission between the LNG energy user platform and the LNG energy management platform by using wired and/or wireless communication, for example, a Wireless Personal Area Network (WPAN), a Wireless Local Area Network (WLAN), a Cellular Network (Cellular Network), or an optical cable is used for real-time communication.
Further, the LNG energy user platform comprises a visualization module and an instruction issuing module, the visualization module is used for displaying the function of the user in a visualization mode so as to enable the user to know the LNG energy gas micro-pipe network condition more clearly, and when gas output difference occurs, an abnormal area can be shown for the user at the first time; a user can send instruction request information to the scheduling module through the instruction issuing module so as to schedule workers to overhaul the pipeline.
It is to be understood that the above-described gas transit difference management method of the present application may be implemented by one or more processors and memories: the processor is used for controlling the overall operation of the equipment related to the application so as to complete all or part of the steps of the LNG distributed energy fuel gas difference transmission management method based on the Internet of things. The memory is used to store various types of data to support operation at the computer terminal device, which data may include, for example, instructions for any application or method operating on the computer terminal device, as well as application-related data. The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
An LNG distributed energy gas transmission difference management system based on the Internet of things comprises an LNG energy object platform, a sensing network platform, an LNG energy management platform, an LNG energy service platform and an LNG energy user platform, wherein the LNG energy object platform comprises a vaporization intelligent terminal and an intelligent gas meter which are distributed at a user end, a micro-pipe network model of the vaporization intelligent terminal and the intelligent gas meter at the user end is established through a micro-pipe network drawing module in the LNG energy management platform, the sensing network platform comprises a vaporization intelligent terminal sensing network module and an intelligent gas meter sensing network terminal, and the vaporization intelligent terminal sensing network module uploads LNG input and output gas quantity, self-consumption gas quantity and emptying gas quantity data acquired by the vaporization intelligent terminal by an SCADA system; the intelligent gas meter sensing network terminal uploads LNG user gas usage amount data by adopting NB and LoRa wireless communication networks, and the LNG energy management platform further comprises a data analysis module, a result output module, an alarm module and a scheduling module; the data analysis module is used for calculating and analyzing the energy transmission difference and the transmission difference rate of the LNG user side; the result output module graphically displays the result obtained by the data analysis module; the alarm module monitors an output result of the data analysis module in real time, and if the LNG energy fuel gas transmission rate exceeds a threshold value, alarm information is generated and sent to the user platform through the LNG energy service platform; the dispatching module acquires the alarm information of the alarm module, generates a debugging instruction, and dispatches workers to implement planned maintenance so as to reduce the loss of LNG energy.
Further, the LNG distributed energy gas transmission difference management system may be implemented by one or more Application Specific 1 integrated circuits (AS 1C), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components.
The method and the device can improve the calculation accuracy of the LNG energy gas transmission difference value and the LNG energy gas transmission difference rate, and can accurately display the pipeline with the transmission difference abnormality through the micro-pipe network model, so that the enterprise scheduling staff can conveniently overhaul and maintain, and the economic loss of the enterprise is avoided to a great extent.
Reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", and the like, which represent the orientations or positional relationships based on those shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the above embodiments, the basic principle and the main features of the present invention and the advantages of the present invention are described. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, and that modifications and variations can be made by one skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An LNG distributed energy fuel gas difference transmission management method based on the Internet of things is characterized by comprising the following steps:
the LNG energy management platform establishes a micro-pipe network model according to the distributed LNG energy object platform arrangement, and defines node parameters in the micro-pipe network model;
the method comprises the steps of obtaining LNG energy object platform data, and uploading the obtained LNG energy object platform data to an LNG energy management platform through a sensing network platform;
the LNG energy management platform analyzes real-time data of the LNG energy object platform on the basis of the micro-pipe network model, sends warning information to the LNG energy user platform through the LNG energy service platform according to an analysis result, and carries out maintenance scheduling according to an instruction sent by the LNG energy user platform.
2. The LNG distributed energy gas difference transmission management method based on the Internet of things as claimed in claim 1, wherein the LNG energy object platform comprises a vaporization intelligent terminal and an intelligent gas meter which are distributed and arranged at a user side, a micro-pipe network model of the vaporization intelligent terminal and the intelligent gas meter at the user side is established through a micro-pipe network drawing module in the LNG energy management platform, the micro-pipe network model comprises a flow meter arranged between the vaporization intelligent terminal and the intelligent gas meter, and the LNG distributed energy gas difference transmission management method further comprises a gas source, an LNG storage tank, a heat exchanger and a valve which are controlled by the vaporization intelligent terminal.
3. The LNG distributed energy fuel gas transmission difference management method based on the Internet of things as claimed in claim 2, wherein the micro pipe network drawing module performs node parameter definition according to the length of an LNG user end pipeline, after the node parameter definition of the micro pipe network model is performed, a mathematical model needs to be established, and the mathematical model is used as an input of a data analysis module in the LNG energy management platform and is analyzed in combination with LNG energy object platform data.
4. The Internet of things-based LNG distributed energy source gas transmission difference management method of claim 3, wherein the mathematical model is established by a method comprising the following steps: enabling each flowmeter and node of LNG user end pipeline to pass through correlation matrix A ═ a ij ]Establishing a mathematical model, wherein i is a flow meter, j is a node, and the position relation of the flow meter corresponding to the node is as follows:
5. the LNG distributed energy gas transmission difference management method based on the Internet of things is characterized in that the sensing network platform comprises a vaporization intelligent terminal sensing network module and an intelligent gas meter sensing network terminal, and the vaporization intelligent terminal sensing network module adopts LNG input, output gas and emptying gas data acquired by the vaporization intelligent terminal on an SCADA system; the intelligent gas meter sensing network terminal uploads LNG user gas usage data by adopting NB and LoRa wireless communication networks.
6. The internet-of-things-based LNG distributed energy gas transmission difference management method of claim 3, wherein the data analysis module calculates LNG client energy transmission difference and transmission difference rate by combining LNG energy object platform real-time data on the basis of a mathematical model:
Q difference (D) ＝(V 1 +Q 1 )-(Q 2 +Q 3 +V 2 )
In the formula, Q Difference (D) Is the difference of gas transmission volume in the pipeline in a certain period, V 1 For calculating the gas reserve in the pipeline at the beginning of the difference between the outputs, Q 1 For calculating input gas quantity, Q, in the period of time of output difference 2 For calculating the consumption of gas in the period of lost motion, Q 3 For calculating the amount of discharged air during the transit time, V 2 To calculate the gas storage capacity in the pipeline at the end of the difference transportation, η is the difference transportation rate.
7. The LNG distributed energy gas difference transmission management method based on the Internet of things as claimed in any one of claims 1 to 3, wherein the LNG energy management platform further comprises a result output module and an alarm module, and the result output module graphically shows the result obtained by the data analysis module; the alarm module monitors an output result of the data analysis module in real time, and if the LNG energy fuel gas transmission rate exceeds a threshold value, alarm information is generated and sent to the user platform through the LNG energy service platform.
8. The LNG distributed energy fuel gas export management method based on the Internet of things of claim 7, wherein the LNG energy management platform further comprises a scheduling module, the scheduling module acquires alarm information of the alarm module and generates a scheduling instruction, and scheduling workers perform planned maintenance and repair to reduce loss of LNG energy.
9. The LNG distributed energy fuel gas export difference management method based on the Internet of things of claim 7, wherein the LNG energy service platform comprises a data transmission module, and the data transmission module is used for realizing data transmission between the LNG energy user platform and the LNG energy management platform in a wired and/or wireless communication mode.
10. An LNG distributed energy gas transmission difference management system based on the Internet of things comprises an LNG energy object platform, a sensing network platform, an LNG energy management platform, an LNG energy service platform and an LNG energy user platform, and is characterized in that the LNG energy object platform comprises a vaporization intelligent terminal and an intelligent gas meter which are distributed and arranged at a user end, a micro-pipe network model of the vaporization intelligent terminal and the intelligent gas meter at the user end is established through a micro-pipe network drawing module in the LNG energy management platform, the sensing network platform comprises a vaporization intelligent terminal sensing network module and an intelligent gas meter sensing network terminal, and the vaporization intelligent terminal sensing network module adopts an SCADA system to upload LNG input and output gas quantity, self-consumption gas quantity and emptying gas quantity data acquired by the vaporization intelligent terminal; the intelligent gas meter sensing network terminal uploads LNG user gas usage amount data by adopting NB and LoRa wireless communication networks, and the LNG energy management platform further comprises a data analysis module, a result output module, an alarm module and a scheduling module; the data analysis module is used for calculating and analyzing the energy transmission difference and the transmission difference rate of the LNG user side; the result output module graphically displays the result obtained by the data analysis module; the alarm module monitors an output result of the data analysis module in real time, and if the LNG energy fuel gas transmission rate exceeds a threshold value, alarm information is generated and sent to the user platform through the LNG energy service platform; the dispatching module acquires the alarm information of the alarm module, generates a debugging instruction, and dispatches workers to implement planned maintenance so as to reduce the loss of LNG energy.
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