CN113572843A - Gas data network external operation method and system based on energy metering - Google Patents
Gas data network external operation method and system based on energy metering Download PDFInfo
- Publication number
- CN113572843A CN113572843A CN202110844484.8A CN202110844484A CN113572843A CN 113572843 A CN113572843 A CN 113572843A CN 202110844484 A CN202110844484 A CN 202110844484A CN 113572843 A CN113572843 A CN 113572843A
- Authority
- CN
- China
- Prior art keywords
- platform
- data
- gas
- network
- management platform
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/20—Arrangements in telecontrol or telemetry systems using a distributed architecture
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/60—Arrangements in telecontrol or telemetry systems for transmitting utility meters data, i.e. transmission of data from the reader of the utility meter
Abstract
The invention discloses a gas data network external operation method based on energy metering, which comprises the following steps: establishing a gas Internet of things; the sensing network platform transmits first data and second data; the management platform generates gas utilization preprocessing data according to the first data and the second data; and the user platform measures the gas energy used by the intelligent gas meter according to the energy measurement data. The invention also discloses a gas data network external operation system based on energy metering. According to the energy metering-based gas data network external operation method and system, strong computing resources are provided for the gas Internet of things, the computing process of complex metering data is completed on an external cloud platform, and the computing related to sensitive data with small workload is completed on an internal cloud platform, so that the energy metering data of each gas meter can be effectively acquired for the gas pipe network with multiple gas supply sources.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a gas data network external operation method and system based on energy metering.
Background
At present, the urban natural gas metering in China still adopts a volume metering mode, and the international natural gas trade and consumption traffic energy metering mode. The natural gas can ensure the quality of the natural gas according to the energy measurement, realize the pricing according to the value, ensure the fairness of using different natural gases on the price by users, embody the core value of the natural gas as fuel and reduce the supply and demand contradiction in the natural gas transaction. With the formation of the urban gas multi-gas-source gas supply pattern and the acceleration of global economy integration, the metering according to energy becomes the inevitable trend of natural gas metering and settlement in China.
According to the national standard GB/T22723-2008 'determination of natural gas energy', the natural gas energy metering is to determine the gas energy passing through a certain interface within a period of time. Determining the gas heating value is one of the main features and keys of a natural gas energy metering system. At present, the method mainly adopted for measuring the energy of the natural gas is to carry out on-line continuous measurement through a chromatograph based on composition analysis; although the chromatograph has high accuracy, it is expensive, and therefore, it is often installed only in key departments to detect the amount of heat generated by the gas, for example, on a main line for each gas supply or in a regional gas supply center. Although the cost can be reduced by the arrangement mode, the gas supply sources of some gas pipelines are complicated, so that accurate gas heating value for the household is difficult to obtain.
Disclosure of Invention
The invention aims to solve the technical problem that in the prior art, due to the fact that gas supply sources of some gas pipelines are complex, accurate gas heating value entering a user is difficult to obtain, and aims to provide a gas data network external operation method and system based on energy metering to solve the problems.
The invention is realized by the following technical scheme:
the fuel gas data network external operation method based on energy metering comprises the following steps:
establishing a gas Internet of things; the gas Internet of things comprises a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted;
the object platform acquires gas volume data of the intelligent gas meter as first data and sends the first data to the management platform through the sensing network platform; the object platform acquires position data of the intelligent gas meter as second data and sends the second data to the management platform through the sensing network platform;
the management platform is arranged on the cloud platform to form an in-network cloud platform; the plurality of in-network cloud platforms are also interacted with at least one out-of-network cloud platform, and the out-of-network operation is completed through the out-of-network cloud platform;
the management platform generates gas utilization preprocessing data according to the first data and the second data, and performs off-network operation on the gas utilization preprocessing data through the off-network cloud platform to generate energy metering data;
the management platform sends the energy metering data to a user platform configured in a regional pipe network center through the service platform; and the user platform measures the gas energy used by the intelligent gas meter according to the energy measurement data.
In the prior art, the inventor discovers that old gas pipelines are intensively allocated by a local gas management and control center when the metering mode of the existing gas pipelines is improved, but gas source inlets of the gas pipelines are often in a region, so that gas supply balance of the region is facilitated by gas supply of multiple gas sources, and the occurrence of a gas cut-off phenomenon is reduced.
In an embodiment of the application, an object platform is used for sensing two groups of data of an intelligent gas meter, wherein the first data is gas volume data of the intelligent gas meter, and the gas volume data is data which can be detected by the existing gas meter and can be obtained through a thin film sensor, an ultrasonic sensor and the like; the second data is the position data of the intelligent gas meter; in the existing gas system, each intelligent gas meter has its corresponding number, geographical location information, and location in the gas supply and distribution topology, and in this embodiment, the second data includes the number, the geographical location information, and the location in the gas supply and distribution topology.
In an embodiment of the present application, the management platform is configured on the in-network cloud platform to form a private cloud, some sensitive data may be stored on the private cloud, for example, pipe network topology data in an area, but at the same time, as the private cloud, the computing resources of the in-network cloud platform themselves are not abundant, and the in-network cloud platform also needs to participate in the computing work of daily operation of some management platforms, so in this embodiment, the out-of-network cloud platform is used to perform large-scale data operation work.
On the cloud platform in the network, the management platform completes the preprocessing of the first data and the second data, the preprocessing work mainly comprises the steps of completing data coding conversion and processing the first data and the second data by utilizing some sensitive data stored in private cloud, and the sensitive data cannot be directly sent to the cloud platform outside the network due to data security consideration, so the content needs the cloud platform in the network to calculate. And the cloud platform outside the network needs to complete the generation of energy metering data according to the gas utilization preprocessing data, and the energy metering data is used as data for counting each gas meter in a regional pipe network center. According to the method, strong computing resources are provided for the gas Internet of things, the computing process of complex metering data is completed on the cloud platform outside the network, and the computing related to sensitive data with small workload is completed on the cloud platform inside the network, so that the energy metering data of each gas meter can be effectively acquired for the gas pipe network with a plurality of gas supply sources.
Further, forming an in-network cloud platform includes the following sub-steps:
establishing a service platform A, a management platform A and a sensing network platform A on the in-network cloud platform; respectively establishing a user platform A and an object platform A on two platforms interacted with the in-network cloud platform;
the user platform A, the service platform A, the management platform A, the sensing network platform A and the object platform A are sequentially interacted, and the sensing network platform A senses and receives data of the object platform A and sends the data to the management platform A; and the management platform A performs operation processing on the data of the object platform A and sends the data to the user platform A through the service platform A.
Further, the step of interacting the plurality of in-network cloud platforms with at least one out-of-network cloud platform and completing the out-of-network operation through the out-of-network cloud platform comprises the following substeps:
establishing a user platform B and an object platform B on the management platform A, and establishing a service platform B, a management platform B and a sensing network platform B on the off-network cloud platform; the user platform B, the service platform B, the management platform B, the sensing network platform B and the object platform B are sequentially interacted.
Further, the management platform A is provided with local gas transmission and distribution pipe network topological data; the management platform A acquires the number of the gas sources in the local gas transmission and distribution pipe network corresponding to the second data according to the second data;
when the number of the air sources is more than one, the management platform A acquires the air supply pressure of each air source corresponding to the second data as a first energy parameter, and acquires the heat productivity of each air source corresponding to the second data as a second energy parameter; the management platform A is further used for acquiring gas transmission topological data, corresponding to the second data, of each gas source reaching the intelligent gas meter corresponding to the second data from local gas transmission and distribution pipe network topological data to serve as third energy parameters;
the management platform A sends the first energy parameter, the second energy parameter and the third energy parameter to a management platform B through the sensing network platform B; the management platform B calculates the first data according to the first energy parameter, the second energy parameter and the third energy parameter to obtain first energy metering data, and sends the first energy metering data to the management platform A through the service platform B;
and the management platform A processes the first energy metering data to generate energy metering data.
Further, the management platform B extracts the length of each branch from each gas source to the intelligent gas meter corresponding to the second data from the third energy parameter, and eliminates the branches with the length greater than a preset value to form a gas supply length factor of each gas source;
the management platform B acquires a gas supply contribution value of each gas source to the intelligent gas meter as first weight data according to the first energy parameter and the gas supply length factor matched with the first energy parameter;
the management platform B performs regression operation on the second energy parameter by taking the first weight data as a weight to generate a metering heating parameter;
and the management platform B multiplies the metering heating parameter and the first data to form first energy metering data.
Gas data off-network computing system based on energy metering, comprising:
the gas Internet of things system comprises a gas Internet of things, a gas Internet of things system and a gas Internet of things system, wherein the gas Internet of things system is configured to comprise a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted;
the object platform acquires gas volume data of the intelligent gas meter as first data and sends the first data to the management platform through the sensing network platform; the object platform acquires position data of the intelligent gas meter as second data and sends the second data to the management platform through the sensing network platform;
the management platform is arranged on the cloud platform to form an in-network cloud platform; the plurality of in-network cloud platforms are also interacted with at least one out-of-network cloud platform, and the out-of-network operation is completed through the out-of-network cloud platform;
the management platform generates gas utilization preprocessing data according to the first data and the second data, and performs off-network operation on the gas utilization preprocessing data through the off-network cloud platform to generate energy metering data;
the management platform sends the energy metering data to a user platform configured in a regional pipe network center through the service platform; and the user platform measures the gas energy used by the intelligent gas meter according to the energy measurement data.
Further, a service platform A, a management platform A and a sensing network platform A are established on the in-network cloud platform; a user platform A and an object platform A are respectively established on two platforms interacted with the in-network cloud platform;
the user platform A, the service platform A, the management platform A, the sensing network platform A and the object platform A are sequentially interacted, and the sensing network platform A senses and receives data of the object platform A and sends the data to the management platform A; and the management platform A performs operation processing on the data of the object platform A and sends the data to the user platform A through the service platform A.
Further, a user platform B and an object platform B are established on the management platform A, and a service platform B, a management platform B and a sensing network platform B are established on the off-network cloud platform; the user platform B, the service platform B, the management platform B, the sensing network platform B and the object platform B are sequentially interacted.
Further, the management platform A is provided with local gas transmission and distribution pipe network topological data; the management platform A acquires the number of the gas sources in the local gas transmission and distribution pipe network corresponding to the second data according to the second data;
when the number of the air sources is more than one, the management platform A acquires the air supply pressure of each air source corresponding to the second data as a first energy parameter, and acquires the heat productivity of each air source corresponding to the second data as a second energy parameter; the management platform A is further used for acquiring gas transmission topological data, corresponding to the second data, of each gas source reaching the intelligent gas meter corresponding to the second data from local gas transmission and distribution pipe network topological data to serve as third energy parameters;
the management platform A sends the first energy parameter, the second energy parameter and the third energy parameter to a management platform B through the sensing network platform B; the management platform B calculates the first data according to the first energy parameter, the second energy parameter and the third energy parameter to obtain first energy metering data, and sends the first energy metering data to the management platform A through the service platform B;
and the management platform A processes the first energy metering data to generate energy metering data.
Further, the management platform B extracts the length of each branch from each gas source to the intelligent gas meter corresponding to the second data from the third energy parameter, and eliminates the branches with the length greater than a preset value to form a gas supply length factor of each gas source;
the management platform B acquires a gas supply contribution value of each gas source to the intelligent gas meter as first weight data according to the first energy parameter and the gas supply length factor matched with the first energy parameter;
the management platform B performs regression operation on the second energy parameter by taking the first weight data as a weight to generate a metering heating parameter;
and the management platform B multiplies the metering heating parameter and the first data to form first energy metering data.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the energy metering-based gas data network external operation method and system, strong computing resources are provided for the gas Internet of things, the computing process of complex metering data is completed on an external cloud platform, and the computing related to sensitive data with small workload is completed on an internal cloud platform, so that the energy metering data of each gas meter can be effectively acquired for the gas pipe network with multiple gas supply sources.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic diagram of the method steps of an embodiment of the present invention;
FIG. 2 is a schematic diagram of the method steps of an embodiment of the present invention;
FIG. 3 is a schematic diagram of the method steps of an embodiment of the present invention;
FIG. 4 is a system architecture diagram according to an embodiment of the present invention;
FIG. 5 is a system architecture diagram according to an embodiment of the present invention;
FIG. 6 is a system architecture diagram according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Examples
To facilitate explanation of the above-mentioned gas data extranet operation method based on energy metering, please refer to fig. 1, which shows a schematic flow chart of the gas data extranet operation method based on energy metering according to an embodiment of the present invention, where the gas data extranet operation method based on energy metering may be applied to the communication architecture in fig. 4, and further, the gas data extranet operation method based on energy metering may specifically include the contents described in the following steps S1-S5:
s1: establishing a gas Internet of things; the gas Internet of things comprises a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted;
s2: the object platform acquires gas volume data of the intelligent gas meter as first data and sends the first data to the management platform through the sensing network platform; the object platform acquires position data of the intelligent gas meter as second data and sends the second data to the management platform through the sensing network platform;
s3: the management platform is arranged on the cloud platform to form an in-network cloud platform; the plurality of in-network cloud platforms are also interacted with at least one out-of-network cloud platform, and the out-of-network operation is completed through the out-of-network cloud platform;
s4: the management platform generates gas utilization preprocessing data according to the first data and the second data, and performs off-network operation on the gas utilization preprocessing data through the off-network cloud platform to generate energy metering data;
s5: the management platform sends the energy metering data to a user platform configured in a regional pipe network center through the service platform; and the user platform measures the gas energy used by the intelligent gas meter according to the energy measurement data.
In an embodiment of the application, an object platform is used for sensing two groups of data of an intelligent gas meter, wherein the first data is gas volume data of the intelligent gas meter, and the gas volume data is data which can be detected by the existing gas meter and can be obtained through a thin film sensor, an ultrasonic sensor and the like; the second data is the position data of the intelligent gas meter; in the existing gas system, each intelligent gas meter has its corresponding number, geographical location information, and location in the gas supply and distribution topology, and in this embodiment, the second data includes the number, the geographical location information, and the location in the gas supply and distribution topology.
In an embodiment of the present application, the management platform is configured on the in-network cloud platform to form a private cloud, some sensitive data may be stored on the private cloud, for example, pipe network topology data in an area, but at the same time, as the private cloud, the computing resources of the in-network cloud platform themselves are not abundant, and the in-network cloud platform also needs to participate in the computing work of daily operation of some management platforms, so in this embodiment, the out-of-network cloud platform is used to perform large-scale data operation work.
On the cloud platform in the network, the management platform completes the preprocessing of the first data and the second data, the preprocessing work mainly comprises the steps of completing data coding conversion and processing the first data and the second data by utilizing some sensitive data stored in private cloud, and the sensitive data cannot be directly sent to the cloud platform outside the network due to data security consideration, so the content needs the cloud platform in the network to calculate. And the cloud platform outside the network needs to complete the generation of energy metering data according to the gas utilization preprocessing data, and the energy metering data is used as data for counting each gas meter in a regional pipe network center. According to the method, strong computing resources are provided for the gas Internet of things, the computing process of complex metering data is completed on the cloud platform outside the network, and the computing related to sensitive data with small workload is completed on the cloud platform inside the network, so that the energy metering data of each gas meter can be effectively acquired for the gas pipe network with a plurality of gas supply sources.
In one embodiment, referring to fig. 2, step S3 includes the following sub-steps:
s31: establishing a service platform A, a management platform A and a sensing network platform A on the in-network cloud platform; respectively establishing a user platform A and an object platform A on two platforms interacted with the in-network cloud platform;
s32: the user platform A, the service platform A, the management platform A, the sensing network platform A and the object platform A are sequentially interacted, and the sensing network platform A senses and receives data of the object platform A and sends the data to the management platform A; and the management platform A performs operation processing on the data of the object platform A and sends the data to the user platform A through the service platform A.
In one embodiment, referring to fig. 3, step S3 further includes the following sub-steps:
s33: establishing a user platform B and an object platform B on the management platform A, and establishing a service platform B, a management platform B and a sensing network platform B on the off-network cloud platform; the user platform B, the service platform B, the management platform B, the sensing network platform B and the object platform B are sequentially interacted.
In one embodiment, the management platform a is provided with local gas transmission and distribution pipe network topology data; the management platform A acquires the number of the gas sources in the local gas transmission and distribution pipe network corresponding to the second data according to the second data;
when the number of the air sources is more than one, the management platform A acquires the air supply pressure of each air source corresponding to the second data as a first energy parameter, and acquires the heat productivity of each air source corresponding to the second data as a second energy parameter; the management platform A is further used for acquiring gas transmission topological data, corresponding to the second data, of each gas source reaching the intelligent gas meter corresponding to the second data from local gas transmission and distribution pipe network topological data to serve as third energy parameters;
the management platform A sends the first energy parameter, the second energy parameter and the third energy parameter to a management platform B through the sensing network platform B; the management platform B calculates the first data according to the first energy parameter, the second energy parameter and the third energy parameter to obtain first energy metering data, and sends the first energy metering data to the management platform A through the service platform B;
and the management platform A processes the first energy metering data to generate energy metering data.
In the implementation of this embodiment, the local gas transmission and distribution pipe network topology data belongs to sensitive data, and therefore must be configured on a private cloud, that is, on an in-network cloud platform, first, the number of gas sources that may directly supply gas to a gas meter corresponding to the second data needs to be obtained from the local gas transmission and distribution pipe network topology data, if the number of the gas sources is one, the amount of heat generated by the gas sources may be used to directly perform energy metering on the gas meter, and if the number of the gas sources reaches two or more, the following steps are required to perform accurate gas energy metering:
the management platform A is used as an operation core of the cloud platform in the network, the gas supply pressure of each gas source needs to be acquired, the gas supply pressure can directly influence the gas supply influence of the gas source on each gas meter, and meanwhile, the calorific value of each gas source needs to be acquired to facilitate energy metering; the inventor also finds that the gas supply pressure is attenuated along with the extension of the gas supply pipeline, and the contribution degree of the gas sources to the gas meter is also changed after the pressure is attenuated, so that the gas transmission topological data of each gas source reaching the intelligent gas meter corresponding to the second data is obtained through the management platform A, wherein the gas transmission topological data mainly comprise the distance between nodes in the topological structure, and different branch lengths and nodes through which branches pass can be obtained through the gas transmission topological data.
In the implementation of this embodiment, the off-grid cloud platform needs to execute a large-scale operation task, and the operation process mainly includes performing calculation of the first energy metering data through the first energy parameter, the second energy parameter, and the third energy parameter.
In a more specific embodiment, the management platform a processes the first energy metering data to generate energy metering data, and the processing procedure mainly includes the following steps:
summarizing the plurality of first energy metering data into a sample library, and carrying out classification calculation on the sample library by taking second data as classification basis to generate a plurality of energy metering classification databases;
and traversing the plurality of energy metering classification databases when new second data is received, and if an energy metering classification database matched with the new second data is found, directly taking the calorific value corresponding to the energy metering classification database as the matching data of the new second data to generate the energy metering data corresponding to the new second data.
In a more specific embodiment, the management platform B extracts the length of each branch from each gas source to the intelligent gas meter corresponding to the second data from the third energy parameter, and eliminates branches with a length greater than a preset value to form a gas supply length factor of each gas source;
the management platform B acquires a gas supply contribution value of each gas source to the intelligent gas meter as first weight data according to the first energy parameter and the gas supply length factor matched with the first energy parameter;
the management platform B performs regression operation on the second energy parameter by taking the first weight data as a weight to generate a metering heating parameter;
and the management platform B multiplies the metering heating parameter and the first data to form first energy metering data.
In the implementation of this embodiment, the branch circuits with the length greater than the preset value are removed to reduce data redundancy, and each gas source may have multiple branch circuits to the same gas meter, so each branch circuit generally needs to be evaluated separately, the gas supply contribution of each branch circuit to the gas meter is obtained through the evaluation of each branch circuit, and the gas supply contribution value of each gas source to the gas meter can be obtained as the first weight data after the branch circuit data of the same gas source are combined.
After the first weight data is used as the weight to perform regression operation on the second energy parameter, the calorific value at the gas meter can be formed as a measurement heating parameter, and at the moment, the measurement heating parameter can be multiplied by the first data to form accurate first energy measurement data.
Based on the same inventive concept, referring to fig. 4, an embodiment of the present invention further provides a gas data off-network computing system based on energy metering, including:
the gas Internet of things system comprises a gas Internet of things, a gas Internet of things system and a gas Internet of things system, wherein the gas Internet of things system is configured to comprise a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted;
the object platform acquires gas volume data of the intelligent gas meter as first data and sends the first data to the management platform through the sensing network platform; the object platform acquires position data of the intelligent gas meter as second data and sends the second data to the management platform through the sensing network platform;
the management platform is arranged on the cloud platform to form an in-network cloud platform; the plurality of in-network cloud platforms are also interacted with at least one out-of-network cloud platform, and the out-of-network operation is completed through the out-of-network cloud platform;
the management platform generates gas utilization preprocessing data according to the first data and the second data, and performs off-network operation on the gas utilization preprocessing data through the off-network cloud platform to generate energy metering data;
the management platform sends the energy metering data to a user platform configured in a regional pipe network center through the service platform; and the user platform measures the gas energy used by the intelligent gas meter according to the energy measurement data.
In one embodiment, referring to fig. 5, a service platform a, a management platform a and a sensing network platform a are established on the in-network cloud platform; a user platform A and an object platform A are respectively established on two platforms interacted with the in-network cloud platform;
the user platform A, the service platform A, the management platform A, the sensing network platform A and the object platform A are sequentially interacted, and the sensing network platform A senses and receives data of the object platform A and sends the data to the management platform A; and the management platform A performs operation processing on the data of the object platform A and sends the data to the user platform A through the service platform A.
In an embodiment, referring to fig. 6, a user platform B and an object platform B are established on the management platform a, and a service platform B, a management platform B and a sensing network platform B are established on the extranet cloud platform; the user platform B, the service platform B, the management platform B, the sensing network platform B and the object platform B are sequentially interacted.
Fig. 6 also shows a more specific implementation manner, where the management platform a1 and the management platform C are both in-network cloud platforms interacting with out-of-network cloud platforms, the management platform a1 interacts with the out-of-network cloud platforms by means of the object platform B1 → the sensor network platform B1 → the management platform B1 → the service platform B1 → the user platform B1, and the same management platform C interacts with the out-of-network cloud platforms by means of the object platform B2 → the sensor network platform B2 → the management platform B2 → the service platform B2 → the user platform B2; the management platform C and the management platform A1 share the same sensing network platform, the same management platform and the same service platform to realize interaction, and are also beneficial to sharing data.
In one embodiment, the management platform a is provided with local gas transmission and distribution pipe network topology data; the management platform A acquires the number of the gas sources in the local gas transmission and distribution pipe network corresponding to the second data according to the second data;
when the number of the air sources is more than one, the management platform A acquires the air supply pressure of each air source corresponding to the second data as a first energy parameter, and acquires the heat productivity of each air source corresponding to the second data as a second energy parameter; the management platform A is further used for acquiring gas transmission topological data, corresponding to the second data, of each gas source reaching the intelligent gas meter corresponding to the second data from local gas transmission and distribution pipe network topological data to serve as third energy parameters;
the management platform A sends the first energy parameter, the second energy parameter and the third energy parameter to a management platform B through the sensing network platform B; the management platform B calculates the first data according to the first energy parameter, the second energy parameter and the third energy parameter to obtain first energy metering data, and sends the first energy metering data to the management platform A through the service platform B;
and the management platform A processes the first energy metering data to generate energy metering data.
In one embodiment, the management platform B extracts the length of each branch from each gas source to the intelligent gas meter corresponding to the second data from the third energy parameter, and rejects branches with a length greater than a preset value to form a gas supply length factor of each gas source;
the management platform B acquires a gas supply contribution value of each gas source to the intelligent gas meter as first weight data according to the first energy parameter and the gas supply length factor matched with the first energy parameter;
the management platform B performs regression operation on the second energy parameter by taking the first weight data as a weight to generate a metering heating parameter;
and the management platform B multiplies the metering heating parameter and the first data to form first energy metering data.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. The method for operating the fuel gas data outside the network based on the energy metering is characterized by comprising the following steps:
establishing a gas Internet of things; the gas Internet of things comprises a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted;
the object platform acquires gas volume data of the intelligent gas meter as first data and sends the first data to the management platform through the sensing network platform; the object platform acquires position data of the intelligent gas meter as second data and sends the second data to the management platform through the sensing network platform;
the sensing network platform senses gas volume data of the intelligent gas meter as an object platform as first data and sends the first data to the management platform; the sensing network platform senses position data of the intelligent gas meter as an object platform and sends the position data as second data to the management platform;
the management platform is arranged on the cloud platform to form an in-network cloud platform; the plurality of in-network cloud platforms are also interacted with at least one out-of-network cloud platform, and the out-of-network operation is completed through the out-of-network cloud platform;
the management platform generates gas utilization preprocessing data according to the first data and the second data, and performs off-network operation on the gas utilization preprocessing data through the off-network cloud platform to generate energy metering data;
the management platform sends the energy metering data to a user platform configured in a regional pipe network center through the service platform; and the user platform measures the gas energy used by the intelligent gas meter according to the energy measurement data.
2. The energy metering-based gas data off-network operation method according to claim 1, wherein the forming of the on-network cloud platform comprises the substeps of:
establishing a service platform A, a management platform A and a sensing network platform A on the in-network cloud platform; respectively establishing a user platform A and an object platform A on two platforms interacted with the in-network cloud platform;
the user platform A, the service platform A, the management platform A, the sensing network platform A and the object platform A are sequentially interacted, and the sensing network platform A senses and receives data of the object platform A and sends the data to the management platform A; and the management platform A performs operation processing on the data of the object platform A and sends the data to the user platform A through the service platform A.
3. The energy metering-based gas data off-network operation method according to claim 2, wherein the plurality of on-network cloud platforms further interact with at least one off-network cloud platform, and the off-network operation is completed through the off-network cloud platform comprises the following sub-steps:
establishing a user platform B and an object platform B on the management platform A, and establishing a service platform B, a management platform B and a sensing network platform B on the off-network cloud platform; the user platform B, the service platform B, the management platform B, the sensing network platform B and the object platform B are sequentially interacted.
4. The energy metering-based gas data network external operation method according to claim 3, wherein the management platform A is provided with local gas transmission and distribution pipe network topology data; the management platform A acquires the number of the gas sources in the local gas transmission and distribution pipe network corresponding to the second data according to the second data;
when the number of the air sources is more than one, the management platform A acquires the air supply pressure of each air source corresponding to the second data as a first energy parameter, and acquires the heat productivity of each air source corresponding to the second data as a second energy parameter; the management platform A is further used for acquiring gas transmission topological data, corresponding to the second data, of each gas source reaching the intelligent gas meter corresponding to the second data from local gas transmission and distribution pipe network topological data to serve as third energy parameters;
the management platform A sends the first energy parameter, the second energy parameter and the third energy parameter to a management platform B through the sensing network platform B; the management platform B calculates the first data according to the first energy parameter, the second energy parameter and the third energy parameter to obtain first energy metering data, and sends the first energy metering data to the management platform A through the service platform B;
and the management platform A processes the first energy metering data to generate energy metering data.
5. The energy metering-based gas data off-network operation method according to claim 4, wherein the management platform B extracts the length of each branch from each gas source to the intelligent gas meter corresponding to the second data from the third energy parameter, and eliminates branches with the length greater than a preset value to form a gas supply length factor of each gas source;
the management platform B acquires a gas supply contribution value of each gas source to the intelligent gas meter as first weight data according to the first energy parameter and the gas supply length factor matched with the first energy parameter;
the management platform B performs regression operation on the second energy parameter by taking the first weight data as a weight to generate a metering heating parameter;
and the management platform B multiplies the metering heating parameter and the first data to form first energy metering data.
6. Gas data net external computing system based on energy measurement, its characterized in that includes:
the gas Internet of things system comprises a gas Internet of things, a gas Internet of things system and a gas Internet of things system, wherein the gas Internet of things system is configured to comprise a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted;
the object platform acquires gas volume data of the intelligent gas meter as first data and sends the first data to the management platform through the sensing network platform; the object platform acquires position data of the intelligent gas meter as second data and sends the second data to the management platform through the sensing network platform;
the management platform is arranged on the cloud platform to form an in-network cloud platform; the plurality of in-network cloud platforms are also interacted with at least one out-of-network cloud platform, and the out-of-network operation is completed through the out-of-network cloud platform;
the management platform generates gas utilization preprocessing data according to the first data and the second data, and performs off-network operation on the gas utilization preprocessing data through the off-network cloud platform to generate energy metering data;
the management platform sends the energy metering data to a user platform configured in a regional pipe network center through the service platform; and the user platform measures the gas energy used by the intelligent gas meter according to the energy measurement data.
7. The energy metering-based gas data off-network computing system of claim 6, wherein:
a service platform A, a management platform A and a sensing network platform A are established on the in-network cloud platform; a user platform A and an object platform A are respectively established on two platforms interacted with the in-network cloud platform;
the user platform A, the service platform A, the management platform A, the sensing network platform A and the object platform A are sequentially interacted, and the sensing network platform A senses and receives data of the object platform A and sends the data to the management platform A; and the management platform A performs operation processing on the data of the object platform A and sends the data to the user platform A through the service platform A.
8. The energy metering-based gas data off-network computing system of claim 7, wherein:
a user platform B and an object platform B are established on the management platform A, and a service platform B, a management platform B and a sensing network platform B are established on the off-network cloud platform; the user platform B, the service platform B, the management platform B, the sensing network platform B and the object platform B are sequentially interacted.
9. The energy metering-based gas data network external computing system according to claim 8, wherein the management platform A is provided with local gas transmission and distribution pipe network topology data; the management platform A acquires the number of the gas sources in the local gas transmission and distribution pipe network corresponding to the second data according to the second data;
when the number of the air sources is more than one, the management platform A acquires the air supply pressure of each air source corresponding to the second data as a first energy parameter, and acquires the heat productivity of each air source corresponding to the second data as a second energy parameter; the management platform A is further used for acquiring gas transmission topological data, corresponding to the second data, of each gas source reaching the intelligent gas meter corresponding to the second data from local gas transmission and distribution pipe network topological data to serve as third energy parameters;
the management platform A sends the first energy parameter, the second energy parameter and the third energy parameter to a management platform B through the sensing network platform B; the management platform B calculates the first data according to the first energy parameter, the second energy parameter and the third energy parameter to obtain first energy metering data, and sends the first energy metering data to the management platform A through the service platform B;
and the management platform A processes the first energy metering data to generate energy metering data.
10. The energy metering-based gas data off-network computing system according to claim 9, wherein the management platform B extracts the length of each branch from each gas source to the intelligent gas meter corresponding to the second data from the third energy parameter, and rejects branches having a length greater than a preset value to form a gas supply length factor of each gas source;
the management platform B acquires a gas supply contribution value of each gas source to the intelligent gas meter as first weight data according to the first energy parameter and the gas supply length factor matched with the first energy parameter;
the management platform B performs regression operation on the second energy parameter by taking the first weight data as a weight to generate a metering heating parameter;
and the management platform B multiplies the metering heating parameter and the first data to form first energy metering data.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110844484.8A CN113572843B (en) | 2021-07-26 | 2021-07-26 | Gas data off-network operation method and system based on energy metering |
| US17/804,088 US11898895B2 (en) | 2021-07-26 | 2022-05-25 | Methods and systems for natural gas data computation outside gas internet of things based on energy measuring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110844484.8A CN113572843B (en) | 2021-07-26 | 2021-07-26 | Gas data off-network operation method and system based on energy metering |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113572843A true CN113572843A (en) | 2021-10-29 |
| CN113572843B CN113572843B (en) | 2023-06-02 |
Family
ID=78167376
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110844484.8A Active CN113572843B (en) | 2021-07-26 | 2021-07-26 | Gas data off-network operation method and system based on energy metering |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113572843B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114414619A (en) * | 2022-01-19 | 2022-04-29 | 成都秦川物联网科技股份有限公司 | Energy metering device embedded with information security management module and Internet of things system |
| CN114542992A (en) * | 2022-02-24 | 2022-05-27 | 成都秦川物联网科技股份有限公司 | Natural gas pipe network metering working condition remote monitoring system based on Internet of things |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105678997A (en) * | 2016-03-26 | 2016-06-15 | 成都秦川科技发展有限公司 | Internet of Things intelligent gas meter system based on smart city system |
| CN108470239A (en) * | 2018-03-01 | 2018-08-31 | 国网福建省电力有限公司 | The active distribution network multi objective layered programming method of meter and demand side management and energy storage |
| WO2019200662A1 (en) * | 2018-04-20 | 2019-10-24 | 东北大学 | Stability evaluation and static control method for electricity-heat-gas integrated energy system |
| CN111781884A (en) * | 2020-06-23 | 2020-10-16 | 中国计量科学研究院 | Energy monitoring system |
| CN112946231A (en) * | 2021-02-04 | 2021-06-11 | 成都秦川物联网科技股份有限公司 | Natural gas full-period energy metering system and method |
| CN113141545A (en) * | 2021-06-21 | 2021-07-20 | 成都秦川物联网科技股份有限公司 | Cloud intelligent gas data network external operation method and system |
-
2021
- 2021-07-26 CN CN202110844484.8A patent/CN113572843B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105678997A (en) * | 2016-03-26 | 2016-06-15 | 成都秦川科技发展有限公司 | Internet of Things intelligent gas meter system based on smart city system |
| CN108470239A (en) * | 2018-03-01 | 2018-08-31 | 国网福建省电力有限公司 | The active distribution network multi objective layered programming method of meter and demand side management and energy storage |
| WO2019200662A1 (en) * | 2018-04-20 | 2019-10-24 | 东北大学 | Stability evaluation and static control method for electricity-heat-gas integrated energy system |
| CN111781884A (en) * | 2020-06-23 | 2020-10-16 | 中国计量科学研究院 | Energy monitoring system |
| CN112946231A (en) * | 2021-02-04 | 2021-06-11 | 成都秦川物联网科技股份有限公司 | Natural gas full-period energy metering system and method |
| CN113141545A (en) * | 2021-06-21 | 2021-07-20 | 成都秦川物联网科技股份有限公司 | Cloud intelligent gas data network external operation method and system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114414619A (en) * | 2022-01-19 | 2022-04-29 | 成都秦川物联网科技股份有限公司 | Energy metering device embedded with information security management module and Internet of things system |
| CN114414619B (en) * | 2022-01-19 | 2023-08-15 | 成都秦川物联网科技股份有限公司 | Energy metering device embedded with information security management module and Internet of things system |
| CN114542992A (en) * | 2022-02-24 | 2022-05-27 | 成都秦川物联网科技股份有限公司 | Natural gas pipe network metering working condition remote monitoring system based on Internet of things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113572843B (en) | 2023-06-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | Resource abundance, industrial structure, and regional carbon emissions efficiency in China | |
| CN113572843A (en) | Gas data network external operation method and system based on energy metering | |
| CN101619850B (en) | Dispatching method and dispatching system based on load online forecasting of thermoelectric power system | |
| WO2017166370A1 (en) | Method for delineating metropolitan area based on regional inter-city flow intensity measuring model | |
| CN106446131A (en) | Mixed storage method and system for distribution and utilization multi-source heterogeneous data | |
| KR101648272B1 (en) | Method for forecasting household water demand and detecting water leakage based on complex event processing and machine learning | |
| CN113570475A (en) | Cross-network sharing method and system for energy metering data of intelligent pipe network | |
| US11898895B2 (en) | Methods and systems for natural gas data computation outside gas internet of things based on energy measuring | |
| CN113965591B (en) | Partition cloud platform in-network operation method and system based on intelligent gas meter | |
| CN105117421B (en) | Based on the matched social network analysis method of graph structure | |
| CN101783075A (en) | System for forecasting traffic flow of urban ring-shaped roads | |
| US11796368B2 (en) | Methods and systems for measuring energy of natural gas based on Internet of Things | |
| CN111486930A (en) | Natural gas energy metering assignment checking method and system | |
| CN113139151A (en) | Method for measuring near-remote coupling coordination level of urbanization and ecological environment | |
| Tanaka et al. | Spatial spillovers from foreign direct investment: Evidence from the Yangtze River Delta in China | |
| Raad et al. | An efficient IoT-based smart water meter system of Smart City environment | |
| Li et al. | An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China | |
| Nadeem | A survey on peer-to-peer energy trading for local communities: Challenges, applications, and enabling technologies | |
| US11979697B2 (en) | Methods and internet of things systems for obtaining natural gas energy metering component | |
| Qiao et al. | Application research of artificial intelligence technology in error diagnosis of electric energy meter | |
| Lei et al. | Research on opinion leaders recognition based on TOPSIS in open source design community | |
| Han et al. | An integrated methodology for commercial concrete supplier selection with intuitionistic fuzzy CPT-VIKOR | |
| Wang et al. | Internet development and the spatial optimization of regional productivity: Evidence from China | |
| Xie et al. | Reliability Analysis of Intelligent Electric Energy Meter under Fusion Model Illness Analysis Algorithm | |
| CN111563332B (en) | Urban water supply pipe network leakage positioning method based on night pressure regulation actual measurement |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |