CN115240790A - Method, device and equipment for accounting methane emission of gas user meter and storage medium - Google Patents
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Abstract
The method adopts a block chain intelligent contract technology, and realizes intelligent interaction between a down-chain user system and an up-chain block chain system, so that user table methane emission data recorded by each network node is stored in a block chain account book in an uplink manner, distributed decentralized storage is realized, data tampering can be effectively prevented, and the data is guaranteed to be real and credible; and each network node can automatically call the methane emission accounting method for accounting through a block chain intelligent contract technology, so that the intelligent, transparent and standardized methane emission accounting method is realized, and the accuracy and authenticity of the methane emission accounting result are improved. The application also provides a device and equipment for accounting the methane emission of the gas user and a computer readable storage medium.
Description
Technical Field
The application relates to the technical field of computers, in particular to a method, a device and equipment for accounting methane emission of a gas user and a computer readable storage medium.
Background
The premise of enterprise methane emission reduction is to realize quantitative management of methane emission. The basis of quantitative management is to establish a methane emission accounting management mechanism with credibility and operability. The perfect accounting method can help enterprises clearly card the methane emission situation, so as to set reasonable emission reduction targets and action schemes and finally help enterprises to reduce natural gas emission and lay a solid foundation.
At present, the accounting of the methane emission of a gas enterprise is still in a starting stage, the accounting of the methane emission of the enterprise does not form a standardized management mode, and branch companies in the enterprise are responsible for recording the detection data of the methane emission of gas equipment facilities in respective jurisdiction ranges and accounting the emission. The data entry personnel are not fixed, the data are mainly recorded by adopting the corporate ledger, and a standardized accounting method is lacked.
However, the above method will cause problems of data record loss, data tampering, non-standard data format, non-traceable data entry information, non-uniform accounting method, non-transparency and the like in the methane emission amount accounting work of the gas user table by the enterprise, and the accuracy and the authenticity of the methane emission amount accounting result cannot be ensured.
Disclosure of Invention
The application provides a method, a device and equipment for accounting methane emission of a gas user and a computer readable storage medium, which can improve the accuracy and authenticity of an accounting result of the methane emission of the gas user.
In a first aspect, the present application provides a method for accounting for methane emission from a gas user, where each independently administered branch company in a gas enterprise serves as a network node in a blockchain network, the method is applied to a target node, and the target node is any network node in the blockchain network, and the method includes:
acquiring methane emission data of the gas user within the jurisdiction range of the corresponding branch company of the target node;
the acquired gas user table methane emission data are uplink-stored in a block chain ledger through an intelligent contract, wherein the data in the block chain ledger are broadcast to all network nodes through a block chain broadcast mechanism, and the block chain ledger comprises the gas user table methane emission data uplink-stored in all network nodes;
and adopting an intelligent contract methane emission accounting algorithm, and utilizing the data stored in the block chain ledger to account the total methane emission amount of the gas user table in the target time period.
Optionally, the uplink storage of the acquired gas user table methane emission data into the block chain ledger by the intelligent contract includes:
storing the gas user meter methane emission data into a downlink database, and sending related information of the gas user meter methane emission data to an asynchronous uplink queue;
polling the asynchronous uplink queue to sequentially take out each data record in the downlink database;
and calling a data uplink interface of the intelligent contract, storing a transaction hash value returned by the target node into the downlink database after the target node conducts on-link transaction on the currently taken data, and completing uplink storage of the current data to the block chain account book through the intelligent contract.
Optionally, the gas user table methane emission data includes: methane emission data associated with gas user meter emissions, and methane emission data associated with gas user meter vents.
Optionally, the accounting of the total methane emission amount of the gas user in the target time period includes:
when the gas user table is dissipated, determining the dissipated methane emission of the user table by calculating the methane emission of each sampling user table in each user table type in the target time period;
when the gas user meter is emptied, determining the emptied methane discharge amount of the user meter by calculating the methane discharge amount of each operation of each sampling user meter emptying operation in the target time period;
and determining the total methane emission amount of the gas user meter in the target time period according to the user meter dissipation methane emission amount and the user meter emptying methane emission amount.
Optionally, the determining the user table dissipated methane emission by calculating the methane emission of each sampled user table in each user table type in the target time period includes:
determining a user table dissipation emission factor corresponding to each user table type, wherein the user table dissipation emission factor is determined according to the methane emission amount of each sampling user table in the corresponding user table type in the target time period and the number of the sampling user tables in the user table type;
and determining the user table dissipation type methane emission according to the user table dissipation emission factor corresponding to each user table type and the number of the user tables under each user table type in the gas enterprise.
Optionally, the types of user meters associated with gas user meter dissipation include:
the gas consumption meter of the commercial user, the gas consumption meter of the residential user and the gas consumption meter of the rural coal-to-gas user.
Optionally, the determining the methane emission of the user-metered emptying by calculating the methane emission of each operation of each sampled user-metered emptying operation in the target time period includes:
determining a user meter emptying emission factor corresponding to each sampling user meter emptying operation, wherein the user meter emptying emission factor is determined according to the methane emission of each operation of the corresponding sampling user meter emptying operation in the target time interval and the operation times of the corresponding sampling user meter emptying operation in the target time interval;
and determining the discharge amount of the emptying methane of the user meter according to the emptying discharge factor of each user meter and the number of the user meters for carrying out emptying operation of each user meter in the target time period by the enterprise.
Optionally, the type of user meter emptying operation related to gas user meter emptying comprises:
replacing and reducing blood pressure and diffusing, and replacing and diffusing.
In a second aspect, the present application provides a gas user methane emission accounting device, where each independently administered branch company inside a gas enterprise serves as a network node in a blockchain network, the device is applied to a target node, and the target node is any network node in the blockchain network, and the device includes:
the data acquisition unit is used for acquiring the methane emission data of the gas user meter in the jurisdiction range of the corresponding branch company of the target node;
the data uplink unit is used for uplink storage of the acquired gas user table methane emission data into a block chain account book through an intelligent contract, wherein the data in the block chain account book is broadcasted to all network nodes through a block chain broadcasting mechanism, and the block chain account book comprises the gas user table methane emission data stored in the uplink storage of all network nodes;
and the data accounting unit is used for accounting the total methane emission amount of the gas user table in the target time period by adopting an intelligent contract methane emission accounting algorithm and utilizing the data stored in the block chain ledger.
Optionally, the data uplink unit includes:
the data processing subunit is used for storing the gas user methane emission data into a downlink database and sending the related information of the gas user methane emission data to an asynchronous uplink queue;
the data extraction subunit is used for sequentially extracting each data record in the downlink database by polling the asynchronous uplink queue;
and the data uplink sub-unit is used for calling a data uplink interface of the intelligent contract, storing a transaction hash value returned by the target node into the downlink database after the target node conducts uplink transaction on the currently taken data, and finishing uplink storage from the current data to the block chain account book through the intelligent contract.
Optionally, the gas user meter methane emission data includes: methane emission data associated with gas user meter emissions, and methane emission data associated with gas user meter blowdown.
Optionally, when the data accounting unit accounts the total amount of methane emission from the gas users in the target time period, the data accounting unit includes:
the dissipation amount determining subunit is used for determining the dissipation type methane emission amount of the user table by calculating the methane emission amount of each sampling user table in each user table type in the target time period when the gas user table is dissipated;
the emptying amount determining subunit is used for determining the emptying methane discharge amount of the user meter by calculating the methane discharge amount of each operation of each sampling user meter emptying operation in the target time period when the gas user meter is emptied;
and the total emission amount determining subunit is used for determining the total emission amount of the methane of the gas user meter in the target time period according to the emission amount of the user meter escape methane and the emission amount of the user meter vent methane.
Optionally, the dissipation amount determining subunit is specifically configured to:
determining a user table loss emission factor corresponding to each user table type, wherein the user table loss emission factor is determined according to the methane emission amount of each sample user table in the corresponding user table type in the target time period and the number of the sample user tables in the user table type;
and determining the user table loss type methane emission amount according to the user table loss emission factor corresponding to each user table type and the number of the user tables under each user table type in the gas enterprise.
Optionally, the user meter types associated with gas user meter emissions include:
the gas consumption meter of the commercial user, the gas consumption meter of the residential user and the gas consumption meter of the rural coal-to-gas user.
Optionally, the empty amount determining subunit is specifically configured to:
determining a user meter emptying emission factor corresponding to each sampling user meter emptying operation, wherein the user meter emptying emission factor is determined according to the methane emission of each operation of the corresponding sampling user meter emptying operation in the target time period and the operation times of the corresponding sampling user meter emptying operation in the target time period;
and determining the discharge amount of the emptying methane of the user meter according to the emptying discharge factor of each user meter and the number of the user meters for carrying out emptying operation of each user meter in the target time period by the enterprise.
Optionally, the type of user meter emptying operation related to gas user meter emptying comprises:
replacing and reducing blood pressure and diffusing, and replacing and diffusing.
In a third aspect, the present application provides an electronic device, comprising: a processor, a memory;
the memory for storing a computer program;
and the processor is used for executing the gas user methane emission accounting method by calling the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described gas user methane emission amount accounting method.
In the technical scheme provided by the application, the methane emission data of the gas user table within the jurisdiction range of a target node corresponding to a branch company is obtained, and the target node is any network node in a block chain network; the acquired gas user table methane emission data is stored in a block chain account book in a chain manner through an intelligent contract, the data in the block chain account book is broadcasted to all network nodes through a block chain broadcasting mechanism, and the block chain account book comprises the gas user table methane emission data stored in the chain manner in all the network nodes; and adopting an intelligent contract methane emission accounting algorithm, and accounting the total methane emission amount of the gas user table in the target time period by using the data stored in the block chain account book. Therefore, the intelligent contract technology of the block chain is adopted, and intelligent interaction between the user system under the chain and the block chain system on the chain is realized, so that the user table methane emission data recorded by each network node is uplink stored in the block chain account book, distributed decentralized storage is realized, data tampering can be effectively prevented, and the data is guaranteed to be true and credible; and each network node can automatically call the methane emission accounting method for accounting through the block chain intelligent contract technology, so that the intelligent, transparent and standardized methane emission accounting method is realized, and the accuracy and the authenticity of the methane emission accounting result are improved.
Drawings
FIG. 1 is a functional architecture diagram of a methane emission accounting method for a gas enterprise, shown in the present application;
FIG. 2 is a diagram of a methane emission accounting intelligent contract architecture as shown in the present application;
FIG. 3 is a schematic flow chart of a method for accounting for methane emission from a gas user according to the present application;
FIG. 4 is a schematic diagram of the components of a gas user methane emission accounting device shown in the present application;
fig. 5 is a schematic structural diagram of an electronic device shown in the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if," as used herein, may be interpreted as "at \8230; \8230when" or "when 8230; \823030when" or "in response to a determination," depending on the context.
The embodiment of the application provides a method for accounting methane emission of a gas user, in particular to a method for accounting methane emission of a gas user based on a block chain technology. In the embodiment of the application, a block chain technology is utilized to form an alliance chain multi-party participation to form a block chain network, each independent administered branch company in an enterprise is used as a network node, gas user meter component level methane emission data is collected, and the data is stored in a block chain distributed account book through an intelligent contract. The gas user meter component-level methane emission data collected by each network node is confirmed in the whole network through a block chain consensus algorithm, so that distributed redundant storage of accounting data is realized, meanwhile, collected data are prevented from being artificially tampered, and the characteristics of transparent collection records, traceability, multi-party supervision and the like are ensured. By inputting the original data of different batches, the intelligent dating point automatically triggers the whole methane emission calculation, the core calculation logic cannot be artificially tampered, and the fairness, the transparency and the traceability of the data calculation are realized.
In the method for accounting the methane emission amount of the gas user meter provided by the embodiment of the application, each independently administered branch company in a gas enterprise serves as a network node in a block chain network, that is, a block chain alliance chain network node is established in the branch company of the gas enterprise, and the network node realizes the functions of data verification, data consensus confirmation and data accounting chain storage. In order to ensure data security, each participating network node needs to apply for a digital certificate, and only the network node which is authorized to access to the gas user meter methane emission accounting alliance network has the accounting authority.
It should be noted that, in the following contents, the embodiment of the present application will specifically introduce the method for accounting for methane emission of a gas user provided in the embodiment of the present application, with reference to the functional architecture diagram of the method for accounting for methane emission of a gas enterprise shown in fig. 1 and the intelligent contract architecture diagram of methane emission accounting shown in fig. 2.
The method for accounting the methane emission amount of the gas user provided by the embodiment of the application is specifically introduced below.
Referring to fig. 3, a schematic flow chart of a method for accounting for methane emission from a gas user according to an embodiment of the present application is shown, where the method is applied to a target node, that is, the target node is an execution subject of the method, and the target node may be any network node in a block chain network, where the method includes the following steps:
s301: and acquiring the methane emission data of the gas user within the jurisdiction range of the target node corresponding to the branch company.
In the embodiment of the present application, a blockchain alliance-chain network node needs to be built in each branch of a gas enterprise, the target node in S301 may be any network node in the blockchain network, and a node user of the target node refers to the branch building the target node. The node user of the target node needs to enter the methane emission data of the gas user table in his jurisdiction.
The methane emission of the gas user meter is divided into two categories of dissipation and emptying. That is, the gas user methane emission data in S301 includes: methane emission data associated with gas user meter emissions, and methane emission data associated with gas user meter blowdown.
Wherein, the data to be recorded about the user table dissipation type emission source is shown in table 1.
TABLE 1 data situation that user table dissipation type emission source needs to be entered
The user meter emptying type emission source comprises the following components: replacing the depressurization and the diffusion and replacing and the diffusion.
The pressure reduction and dispersion replacement refers to dispersion operation caused by pressure reduction due to replacement of instruments such as meters and the like, the operation does not need to completely replace gas, only needs to reduce the pressure to a certain value, and the dispersion amount is smaller than that of replacement; the replacement and diffusion means that all the gas in the gauge and the connecting pipe thereof needs to be replaced.
The data that needs to be entered for these two emission sources is shown in table 2.
TABLE 2 data situation that the user table emptying class emission source needs to be entered
In the embodiment of the present application, the target node may include each functional module shown in fig. 1.
Specifically, data entry personnel at a target node side create an account and a digital certificate (comprising a digital public key and a digital private key), the data entry personnel need to use the digital private key to sign uplink data, the legally signed data can be stored in a block chain network, and the digital signature can realize the repudiation prevention of data entry and prove that the data source is legal and effective; the operators with different authorities set by the user management authority can only input data in the jurisdiction range. When the methane emission data is recorded, each node user (the node user is a branch company of each jurisdiction of the enterprise) needs to record the methane emission data of the gas user table in the jurisdiction, and the function can be realized based on a data recording module.
S302: and uplink storing the acquired gas user table methane emission data into a block chain ledger through an intelligent contract, wherein the data in the block chain ledger can be broadcast to all network nodes through a block chain broadcast mechanism, and the block chain ledger comprises the gas user table methane emission data uplink stored by all network nodes.
In the embodiment of the application, the gas user table methane emission data can be uplink stored in the blockchain ledger through the intelligent contract, that is, each network node can store the methane emission data in the jurisdiction range of the network node in the blockchain ledger, and distributed decentralized storage is realized.
The data stored in the blockchain account book can be broadcasted to all network nodes of the blockchain network through a blockchain broadcasting mechanism, so that any network node can completely store a copy of the data. The original data are stored in a distributed decentralized mode, and the open and transparent query and data modification of the input data can be traced. That is to say, by the block chain storage technology, the chain distributed decentralized storage of the user table methane emission data and the user table methane emission data is realized, the data tampering is effectively prevented, and the trueness and the credibility of the data are ensured.
In one implementation manner of the embodiment of the present application, the "uplink storing the acquired gas user table methane emission data into the block chain ledger by the intelligent contract" in S302 may include the following steps A1-A3:
step A1: and storing the gas user table methane emission data into a downlink database, and sending related information of the gas user table methane emission data to an asynchronous uplink queue.
In the implementation mode, firstly, the format of the recorded methane emission data (original data) of the gas user table is verified, after the data are ensured to be error-free, the original data are stored in a down-link database, and record numbers are generated for the original data; and then, calculating the hash value of the data record, and storing the hash value of the recorded data, the down-link data number, the collected person information, the collected time and other information into an asynchronous uplink queue to prepare uplink. The above-described functions may be implemented by the data processing module in fig. 1.
Step A2: and polling the asynchronous uplink queue to sequentially take out each data record in the downlink database.
In this implementation, if there is information in the eu queue, it indicates that there is data in the downlink database that is not uplink to the blockchain account, and therefore, it is necessary to poll the eu queue to find the data that is not uplink. For each data record in the downlink database, corresponding related information (including hash value of recorded data, downlink data number, information of a collector, collection time and the like) exists in the asynchronous uplink queue, and corresponding data can be obtained from the downlink database through the related information. The above-described functions can be implemented by the reliable uplink module in fig. 1.
Step A3: and calling a data uplink interface of the intelligent contract, storing a transaction hash value returned by the target node into a downlink database after the target node conducts on-link transaction on the currently taken data, and finishing uplink storage of the current data to the block chain account book through the intelligent contract.
In this implementation manner, for a currently taken data record, an open data uplink interface of an intelligent contract module (shown in fig. 1) deployed by a target node may be called, and after the target node exchanges on a current data processing chain and returns a corresponding transaction hash value, the transaction hash value is stored in a downlink database corresponding to a downlink record number. This function may be implemented by the reliable uplink module in fig. 1.
The current data uplink can be stored in a block chain account book through an intelligent contract, and distributed decentralized storage is achieved. This functionality may be implemented by the intelligent contract module in fig. 1.
S303: and adopting an intelligent contract methane emission accounting algorithm, and accounting the total methane emission amount of the gas user table in the target time period by using the data stored in the block chain account book.
In the embodiment of the application, the whole methane emission amount of an enterprise can be automatically calculated by using an intelligent contract methane emission accounting algorithm based on original data stored in a block chain account book. The algorithm is deployed to all nodes of a block chain whole network through intelligent contracts, based on recorded original data of different batches, the intelligent contracts automatically trigger whole methane emission calculation, core calculation logic cannot be artificially tampered, and fairness, transparency and traceability of data calculation are achieved.
In addition, the intelligent contract also supports a retrieval function so as to solve the problem that data cannot be shared for inquiry in the prior art. Specifically, the method supports the searching of all uplink records of the appointed node user, the searching of all uplink records of the appointed operator, the searching of the total methane emission calculated amount and the searching of the methane emission amount of the appointed node user.
The above-described functions may be implemented by the intelligent contract module in fig. 1.
The intelligent contract module shown in fig. 1 may include the various modules shown in fig. 2.
In fig. 2, the user table data entry interface S5 is a bridge for interaction between the user system and the blockchain intelligent contract, and implements interaction between the data on the chain and the data on the chain. The reliable uplink module of the user system in fig. 1 calls the intelligent contract user table data entry interface S5 (i.e., the open data uplink interface of the intelligent contract module), and stores the data in the blockchain data storage module S1+ S2.
The data storage module S1+ S2 is used for storing the methane emission data of the gas user meter, which is recorded by the user meter data recording interface S5, the stored data is broadcasted to all nodes of the block chain network through a block chain broadcasting mechanism, and any network node can completely store a copy of the data for storage. The original data are stored in a distributed decentralized mode, and the open and transparent query and data modification backtracking of the input data are achieved.
The dissipation data storage module S1 mainly stores raw data related to dissipation of the user table, and specifically stores a data type reference table 1. The emptying data storage module S2 mainly stores data related to emptying of the user table, and specifically stores a data type reference table 2.
In the embodiment of the present application, the total amount of methane emission of the gas users in the target time period needs to be accounted by using the data stored in the blockchain ledger (i.e. the data stored in the data storage module S1+ S2 in fig. 2). The specific duration of the target time interval is not limited in the embodiments of the present application, for example, the target time interval is 1 year.
In one implementation manner of the embodiment of the present application, the "accounting the total methane emission amount in the target time period" in S303 includes the following steps B1 to B3:
step B1: when the gas user table is dissipated, the dissipation type methane emission amount of the user table is determined by calculating the methane emission amount of each sampling user table in each user table type in a target time period.
In the embodiment of the application, the emission sources of the user meter dissipation are divided into three types, namely, the types of the user meters related to the gas user meter dissipation are divided into three types, namely, the gas meters of the commercial users, the gas meters of the residential users and the gas meters of the rural coal-to-gas users.
For example, when the target period is one year long, the methane emission of each sample user table in each user table type in the year needs to be calculated, and the user table emission methane emission in the year is calculated based on the annual methane emission of the sample user tables.
In this implementation manner, the step B1 of determining the user table dissipated methane emission by calculating the methane emission of each sampling user table in each user table type in the target time period may include: determining a user table loss emission factor corresponding to each user table type, wherein the user table loss emission factor is determined according to the methane emission of each sample user table in the corresponding user table type in a target time period and the number of the sample user tables in the user table type; and determining the user table loss type methane emission amount according to the user table loss emission factor corresponding to each user table type and the number of the user tables under each user table type in the gas enterprise.
Specifically, for the user table dissipative emission factor corresponding to each user table type, when determining the user table dissipative emission factor, the user table dissipative emission factor may be calculated by the user table dissipative emission factor calculation module S9 shown in fig. 2, for this purpose, the user table dissipative emission factor calculation module S9 needs to call the device component level methane emission data in the sample user table under the corresponding user table type stored by the S1 module, and calculate the user table dissipative emission factor.
It should be noted that, the algorithm is described below with the target time interval as one year, and in practical application, the duration of the target time interval can be set as required. Respectively calculating the user table dissipation emission factors corresponding to each user table type, wherein the specific algorithm is as follows:
in the formula:
EF user watch dissipation The user meter dissipation emission factor corresponding to a certain user meter type is expressed in the unit of ton/(year);
p is the number of the components of the ith user table of a certain type of user table, and the unit is 'one';
t j methane discharge time for the jth module (up to one year) in "min";
n-the number of samples of a user table of a certain type, the unit is 'one';
ei-the methane emission of the ith user meter under a certain user meter type, and the unit is ton/year, wherein i is more than 0 and less than n.
Then, when determining the user table dissipated methane emission, the user table dissipated methane emission accounting module S10 shown in fig. 2 can be used to calculate the user table dissipated methane emission by using an emission factor method, wherein the user table dissipated emission factor is calculated by the user table dissipated emission factor calculating module S9 shown in fig. 2. The user table dissipation type methane emission accounting algorithm is as follows:
E user meter dissipation ＝EF Commercial user watch dissipation ·AD Commercial user meter +EF Residential user meter loss ·AD Resident user meter +EF User meter loss for coal to gas ·AD User meter for changing coal into gas
In the formula:
E user watch dissipation -user meter dissipation methane-like emissions in units of "ton/year";
EF commercial user watch dissipation -the user meter dissipation emission factor for the business user's gas meter type, in "ton/(year)";
AD commercial user meter The number of the user tables under the gas meter type of the commercial users in the gas enterprise is 'number';
EF residential user meter loss The user meter dissipation emission factor corresponding to the gas meter type of the residential user is expressed in the unit of ton/(year);
AD resident user meter The quantity of the user meters under the gas meter types of the residential users in the gas enterprises is 'one';
EF user meter dissipation for changing coal into gas The user meter dissipation emission factor corresponding to the gas meter type of the rural coal-to-gas user is expressed in the unit of ton/(year);
AD user meter for changing coal into gas The number of the user meters in the gas meter type of the rural coal gas change user in the gas enterprise is 'one'.
And step B2: and when the gas user meter is emptied, determining the methane discharge amount of the emptying class of the user meter by calculating the methane discharge amount of each operation of each sampling user meter emptying operation in a target time period.
For example, when the target time period is one year, the methane emission of each operation of each sampled user-metered blowdown operation in the target time period needs to be calculated, and the user-metered blowdown methane emission in the year is calculated based on the annual methane emission of the blowdown operations.
In the embodiment of the application, the type of the user meter emptying operation related to the gas user meter emptying comprises replacing depressurization and emission and replacing and emission.
In this implementation manner, the "determining the user-release methane emission by calculating the methane emission of each operation of each sampling user-release operation in the target time period" in step B2 may include: determining a user meter emptying emission factor corresponding to each sampling user meter emptying operation, wherein the user meter emptying emission factor is determined according to the methane emission of each operation of the corresponding sampling user meter emptying operation in a target time interval and the operation times of the corresponding sampling user meter emptying operation in the target time interval; and determining the discharge amount of the emptying methane of the user meter according to the emptying discharge factor of each user meter and the number of the user meters for carrying out emptying operation of each user meter in the target time period by the enterprise.
Specifically, for each sample user table blowdown job, the corresponding user table blowdown emission factor may be calculated by the user table blowdown emission factor calculation module S15 shown in fig. 2 when determining the user table blowdown emission factor, for which purpose, the user table blowdown emission factor calculation module S15 needs to call the sample user table blowdown emission raw data under the corresponding user table blowdown job stored by the S2 module to calculate the user table blowdown emission factor.
It should be noted that, the algorithm is described below with the target time interval as one year, and in practical application, the duration of the target time interval may be set as required. Respectively calculating the user table dissipated emission factors corresponding to each sampling user table emptying operation, wherein the specific algorithm is as follows:
in the formula:
EF j the unit of the user meter emptying emission factor corresponding to a certain user meter emptying operation is 'ton/(one year');
E i the unit of the methane discharge amount of the ith time of the emptying operation of a certain user meter is ton/year, and i is more than 0 and less than n;
n is the number of emptying operation times (within one year) of a certain user table, and the unit is 'times';
m is the number of user table samples, the unit is 'one'.
Wherein, because the unloading operation of user table falls into two types altogether, it is respectively: replacing the depressurization and the diffusion and replacing and the diffusion. Methane emission E for each emptying operation i The algorithm of (1) is as follows:
(1) Replacement of depressurization emission E Replacement of pressure-reducing diffusing agent
In the formula:
when Z is i ＝Z 1 When P is present i ＝P 1 ；
When Z is i ＝Z 2 When P is present i ＝P 2 ；
E Replacement of hypertension relieving medicine i The discharge amount of the depressurization diffusing event is changed for the ith time, namely ton;
d is the diameter of the pipe section connected with the user meter, m;
l is the length of the diffusion pipe section of the user meter, m;
P 1 -the gas pressure, MPa, before the user gauge is diffused;
Z 1 -pre-bleeding gas compression factor;
P 2 -the user meter diffuses the post-combustion pressure, MPa;
Z 2 -post-diffusion gas compression factor;
P 0 -standard atmospheric pressure, MPa;
(2) Displacement dispersion amount E Replacement diffusion
In the formula (I), the compound is shown in the specification,
E displacement diffusion of i -the ith user meter replaces the emission of the diffusion event, ton;
V j -volume of jth user meter or emptying pipe section, m3;
P0-Standard atmospheric pressure, MPa;
t-displacement time, s;
p-user meter operating pressure, pa;
R con -gas constant of natural gas, 287J/(kg.k);
t-absolute temperature of gas in user meter, K;
k-the adiabatic index of natural gas, typically taken as 1.29;
rho-density of natural gas under standard conditions, kg/m 3 。
Then, when determining the discharge amount of the user table emptying methane, the calculation module S13 shown in fig. 2 may be used to calculate the discharge amount of the user table emptying methane, where the calculation module S15 is used to calculate various emptying discharge factors of the user table. The calculation algorithm for checking the emptying methane emission amount of the user meter is as follows:
E user meter emptying ＝EF Replacement of pressure-reducing diffusing agent ·AD Replacement of pressure-reducing diffusing agent +EF Replacement diffusion ·AD Replacement diffusion
In the formula:
EF replacement of pressure-reducing diffusing agent Replacing the emission factor of the depressurization diffusing operation, wherein the unit is 'ton/(one year)';
AD replacement of pressure-reducing diffusing agent The number of user tables for replacing the depressurization diffusing operation in one year by the enterprise is 'one';
EF replacement diffusion -the discharge factor of the displacement operation, in units of "ton/(n.year)";
AD replacement diffusion The number of the user tables for carrying out replacement and diffusion operation in one year by the enterprise is 'one'.
And step B3: and determining the total methane emission amount of the gas user meter in the target time period according to the user meter dissipation methane emission amount and the user meter emptying methane emission amount.
In the embodiment of the present application, the overall accounting is performed on the methane emission amount of the user table of the enterprise, and the accounting module S14 for the methane emission amount of the enterprise shown in fig. 2 may perform the calculation, where the overall methane emission amount satisfies the following calculation:
E user meter ＝E User watch dissipation +E User meter emptying
In addition, the user system can call the data query interface S6 shown in fig. 2, and after authorization, can query the user table methane emission data recorded by all nodes of the blockchain network and the enterprise methane emission data calculated by the accounting module S14.
It should be noted that in the embodiment of the present application, distributed decentralized storage on the user table methane emission data chain and distributed decentralized storage on the user table methane emission data chain are realized through a block chain storage technology, so that data tampering is effectively prevented, and the data is guaranteed to be true and credible; each authorized node user in the embodiment of the application can automatically call the methane emission accounting method for accounting through a block chain intelligent contract technology, so that the intellectualization, transparence and standardization of the methane emission accounting method are realized, and the accuracy and authenticity of the methane emission accounting are improved; in addition, the method and the device adopt a block chain intelligent contract technology to realize intelligent interaction between the user system under the chain and the block chain system on the chain.
Referring to fig. 4, a schematic composition diagram of a gas user table methane emission accounting apparatus provided in an embodiment of the present application is shown, where each independently administered branch company in a gas enterprise serves as a network node in a blockchain network, and the apparatus is applied to a target node, where the target node is any network node in the blockchain network, and the apparatus includes:
the data acquisition unit 410 is used for acquiring the methane emission data of the gas user table within the jurisdiction range of the corresponding branch company of the target node;
a data uplink unit 420, configured to uplink, by using an intelligent contract, the acquired gas user table methane emission data to a block chain ledger, where data in the block chain ledger is broadcasted to all network nodes through a block chain broadcast mechanism, and the block chain ledger includes the gas user table methane emission data uplink-stored by all network nodes;
and the data accounting unit 430 is configured to use an intelligent contract methane emission accounting algorithm to account the total methane emission amount of the gas user table in the target time period by using the data stored in the block chain ledger.
In an implementation manner of the embodiment of the present application, the data uplink unit 420 includes:
the data processing subunit is used for storing the gas user methane emission data into a downlink database and sending the relevant information of the gas user methane emission data to an asynchronous uplink queue;
the data taking-out subunit is used for sequentially taking out each data record in the downlink database by polling the asynchronous uplink queue;
and the data uplink sub-unit is used for calling a data uplink interface of the intelligent contract, storing a transaction hash value returned by the target node into the downlink database after the target node conducts uplink transaction on the currently taken data, and finishing uplink storage from the current data to the block chain account book through the intelligent contract.
In an implementation manner of the embodiment of the present application, the gas user methane emission data includes: methane emission data associated with gas user meter emissions, and methane emission data associated with gas user meter blowdown.
In an implementation manner of the embodiment of the present application, when the data accounting unit 430 accounts for the total amount of methane emission of the gas users in the target time period, the data accounting unit includes:
the dissipation amount determining subunit is used for determining the dissipation type methane emission amount of the user table by calculating the methane emission amount of each sampling user table in each user table type in the target time period when the gas user table is dissipated;
the emptying amount determining subunit is used for determining the emptying methane discharge amount of the user meter by calculating the methane discharge amount of each operation of each sampling user meter emptying operation in the target time period when the gas user meter is emptied;
and the total emission amount determining subunit is used for determining the total methane emission amount of the gas user meter in the target time period according to the user meter dissipated methane emission amount and the user meter dissipated methane emission amount.
In an implementation manner of the embodiment of the present application, the dissipation amount determining subunit is specifically configured to:
determining a user table dissipation emission factor corresponding to each user table type, wherein the user table dissipation emission factor is determined according to the methane emission amount of each sampling user table in the corresponding user table type in the target time period and the number of the sampling user tables in the user table type;
and determining the user table dissipation type methane emission according to the user table dissipation emission factor corresponding to each user table type and the number of the user tables under each user table type in the gas enterprise.
In one implementation of the embodiments of the present application, the user table types associated with gas user table dissipation include:
the gas consumption meter of the commercial user, the gas consumption meter of the residential user and the gas consumption meter of the rural coal-to-gas user.
In an implementation manner of the embodiment of the present application, the empty amount determining subunit is specifically configured to:
determining a user meter emptying emission factor corresponding to each sampling user meter emptying operation, wherein the user meter emptying emission factor is determined according to the methane emission of each operation of the corresponding sampling user meter emptying operation in the target time interval and the operation times of the corresponding sampling user meter emptying operation in the target time interval;
and determining the discharge amount of the emptying methane of the user meter according to the emptying discharge factor of each user meter and the number of the user meters for carrying out emptying operation of each user meter in the target time period by the enterprise.
In an implementation manner of the embodiment of the present application, a type of a user meter emptying operation related to gas user meter emptying includes:
replacing the depressurization and the diffusion, and replacing and diffusing.
The specific details of the implementation process of the functions and actions of each unit in the above device are the implementation processes of the corresponding steps in the above method, and are not described herein again. In addition, each unit in the device and each module shown in fig. 1 and 2 may have an inclusive or included relationship according to a specific function and action.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement without inventive effort.
An embodiment of the present application further provides an electronic device, a schematic structural diagram of the electronic device is shown in fig. 5, where the electronic device 5000 includes at least one processor 5001, a memory 5002, and a bus 5003, and the at least one processor 5001 is electrically connected to the memory 5002; the memory 5002 is configured to store at least one computer-executable instruction, and the processor 5001 is configured to execute the at least one computer-executable instruction so as to perform the steps of any of the gas user methane emission amount accounting methods provided by any of the embodiments or any alternative embodiments of the present application.
Further, the processor 5001 may be an FPGA (Field-Programmable Gate Array) or other devices with logic processing capability, such as an MCU (micro controller Unit), a CPU (Central processing Unit).
By applying the embodiment of the application and adopting a block chain intelligent contract technology, intelligent interaction between a user system under a chain and a block chain system on the chain is realized, so that user table methane emission data input by each network node is uplink stored in a block chain account book, distributed decentralized storage is realized, data tampering can be effectively prevented, and the data is guaranteed to be true and credible; and each network node can automatically call the methane emission accounting method for accounting through a block chain intelligent contract technology, so that the intelligent, transparent and standardized methane emission accounting method is realized, and the accuracy and authenticity of the methane emission accounting result are improved.
The embodiment of the present application further provides another computer-readable storage medium, which stores a computer program, and the computer program is used for implementing the steps of any one of the methods for accounting for gas user table methane emission provided in any one of the embodiments or any one of the alternative embodiments of the present application when being executed by a processor.
Embodiments of the present application provide computer-readable storage media including, but not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magnetic-optical disks, ROMs (Read-Only memories), RAMs (Random Access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Erasable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards. That is, a readable storage medium includes any medium that can store or transfer information in a form readable by a device (e.g., a computer).
By applying the embodiment of the application and adopting a block chain intelligent contract technology, intelligent interaction between a user system under a chain and a block chain system on the chain is realized, so that user table methane emission data input by each network node is uplink stored in a block chain account book, distributed decentralized storage is realized, data tampering can be effectively prevented, and the data is guaranteed to be true and credible; and each network node can automatically call the methane emission accounting method for accounting through a block chain intelligent contract technology, so that the intelligent, transparent and standardized methane emission accounting method is realized, and the accuracy and authenticity of the methane emission accounting result are improved.
The above description is only a preferred embodiment of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (11)
1. A method for accounting for methane emission of a gas user meter is characterized in that each independently administered branch company in a gas enterprise is used as a network node in a blockchain network, the method is applied to a target node, and the target node is any network node in the blockchain network, and the method comprises the following steps:
acquiring methane emission data of the gas user within the jurisdiction range of the corresponding branch company of the target node;
the method comprises the steps that acquired gas user meter methane emission data are stored in a block chain account book in a chain mode through an intelligent contract, wherein the data in the block chain account book are broadcasted to all network nodes through a block chain broadcasting mechanism, and the block chain account book comprises the gas user meter methane emission data stored in the chain mode in all the network nodes;
and adopting an intelligent contract methane emission accounting algorithm, and utilizing the data stored in the block chain ledger to account the total methane emission amount of the gas user table in the target time period.
2. The method of claim 1, wherein the uplink storage of the acquired gas user methane emission data into a block chain ledger via a smart contract comprises:
storing the gas user meter methane emission data into a downlink database, and sending related information of the gas user meter methane emission data to an asynchronous uplink queue;
polling the asynchronous uplink queue to sequentially take out each data record in the downlink database;
and calling a data uplink interface of the intelligent contract, storing a transaction hash value returned by the target node into the downlink database after the target node conducts on-link transaction on the currently taken data, and completing uplink storage of the current data to the block chain account book through the intelligent contract.
3. The method of claim 1 or 2, wherein the gas user methane emission data comprises: methane emission data associated with gas user meter emissions, and methane emission data associated with gas user meter vents.
4. The method of claim 3, wherein accounting for the total amount of gas user methane emissions over the target time period comprises:
when the gas user meter is dissipated, determining the dissipated methane emission of the user meter by calculating the methane emission of each sampling user meter in each user meter type in the target time period;
when the gas user meter is emptied, determining the methane discharge amount of the emptying class of the user meter by calculating the methane discharge amount of each operation of each sampling user meter emptying operation in the target time period;
and determining the total methane emission amount of the gas user meter in the target time period according to the user meter dissipation methane emission amount and the user meter emptying methane emission amount.
5. The method of claim 4, wherein determining a user table runaway methane emission by calculating the methane emission for each sample user table for each user table type over the target time period comprises:
determining a user table loss emission factor corresponding to each user table type, wherein the user table loss emission factor is determined according to the methane emission amount of each sample user table in the corresponding user table type in the target time period and the number of the sample user tables in the user table type;
and determining the user table loss type methane emission amount according to the user table loss emission factor corresponding to each user table type and the number of the user tables under each user table type in the gas enterprise.
6. The method of claim 4 or 5, wherein the types of user meters associated with gas user meter runaway comprise:
the gas consumption meter of the commercial user, the gas consumption meter of the residential user and the gas consumption meter of the rural coal-to-gas user.
7. The method of claim 4, wherein determining user vent methane emissions by calculating a methane emission per operation for each sampled user vent operation over the target time period comprises:
determining a user meter emptying emission factor corresponding to each sampling user meter emptying operation, wherein the user meter emptying emission factor is determined according to the methane emission of each operation of the corresponding sampling user meter emptying operation in the target time period and the operation times of the corresponding sampling user meter emptying operation in the target time period;
and determining the discharge amount of the emptying methane of the user meter according to the emptying discharge factor of each user meter and the number of the user meters for carrying out emptying operation of each user meter in the target time period by the enterprise.
8. The method of claim 4 or 7, wherein the type of user meter emptying operation associated with gas user meter emptying comprises:
replacing the depressurization and the diffusion, and replacing and diffusing.
9. A gas user methane emission accounting device, wherein each independently administered branch company inside a gas enterprise serves as a network node in a blockchain network, the device is applied to a target node, and the target node is any network node in the blockchain network, and the device comprises:
the data acquisition unit is used for acquiring the methane emission data of the gas user meter in the jurisdiction range of the corresponding branch company of the target node;
the data uplink unit is used for uplink storage of the acquired gas user table methane emission data into a block chain account book through an intelligent contract, wherein the data in the block chain account book is broadcasted to all network nodes through a block chain broadcasting mechanism, and the block chain account book comprises the gas user table methane emission data stored in the uplink storage of all network nodes;
and the data accounting unit is used for accounting the total methane emission amount of the gas user table in the target time period by adopting an intelligent contract methane emission accounting algorithm and utilizing the data stored in the block chain ledger.
10. An electronic device, comprising: a processor, a memory;
the memory for storing a computer program;
the processor is used for executing the gas user methane emission accounting method according to any one of claims 1-8 by calling the computer program.
11. A computer-readable storage medium on which a computer program is stored, the program, when being executed by a processor, implementing the gas user methane emission amount accounting method according to any one of claims 1 to 8.
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Application publication date: 20221025 |
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