CN116756629B - Gas consumption analysis method and device for gas users - Google Patents
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Abstract
The embodiment of the invention provides a gas consumption analysis method and a gas consumption analysis device for a gas user, which are used for acquiring gas consumption data of the gas user in a first unit time and classifying the gas consumption data in the first unit time according to the type of the user; determining the second air consumption of each civil user in unit time according to the civil first air consumption data in unit time and the civil characteristics; wherein the first unit time is greater than the second unit time; determining the gas consumption of each commercial user in the second unit time according to the gas consumption data of the commercial first unit time and the operation rule of the appliance; and determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption. The method solves the problem that the gas consumption of the users in different meter reading periods cannot be obtained by ' processing the classification of the users ', and ' can be accurately and rapidly converted into the gas consumption of the hours ', so as to meet the requirements of safe production and operation of urban fuel gas '.
Description
Technical Field
The invention relates to the field of pipeline gas, in particular to a gas consumption analysis method and device for a gas user.
Background
With the development of scientific technology, pipeline fuel gas is widely applied to life of people, and various types of fuel gas include natural gas, artificial fuel gas, liquefied petroleum gas, biogas, coal gas and the like.
The premise of the safe and stable supply of the urban fuel gas is to balance the non-uniformity of the upstream unit gas supply and the downstream user gas supply, and the minimum unit of balance is the gas consumption in hours, namely the natural gas flow consumed in one hour continuously.
However, for gas users, the hour gas consumption cannot be obtained.
Disclosure of Invention
In view of the above problems, the present application has been made to provide a gas usage analysis method and apparatus for a gas user, which overcomes the above problems or at least partially solves the above problems, including:
a gas usage analysis method for a gas user, the method for analyzing gas usage of the gas user per unit time, comprising:
Acquiring first unit time gas consumption data of a gas user, and classifying the first unit time gas consumption data according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use;
Determining the second air consumption of each civil user in unit time according to the civil first air consumption data in unit time and the civil characteristics; wherein the first unit time is greater than the second unit time;
determining the gas consumption of each commercial user in the second unit time according to the gas consumption data of the commercial first unit time and the operation rule of the appliance;
and determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption.
Preferably, the civil characteristic includes a user factor, a non-uniformity coefficient, a simultaneous working coefficient, and a natural factor, and the step of determining the second air consumption per unit time of each civil user according to the first air consumption per unit time data, and the civil characteristic includes:
Classifying the civil first unit time gas consumption data according to the type of the civil table to obtain card table first unit time gas consumption data, general table first unit time gas consumption data, internet of things table first unit time gas consumption data and fireplace first unit time gas consumption data;
Determining the second air consumption per unit time of civil users of each card meter user according to the air consumption data per unit time of the card meter and the user factors;
determining the gas consumption of the civil user of each general table user in a second unit time according to the gas consumption data of the general table in the first unit time and the non-uniformity coefficient or the simultaneous working coefficient;
carrying out average calculation according to the first unit-time air consumption data of the Internet of things list to obtain the second unit-time air consumption of the civil user of each Internet of things list user;
And determining the second air consumption per unit time of the civil user of each fireplace user according to the first air consumption per unit time data of the fireplace and natural condition factors.
Preferably, the step of determining the second air consumption per unit time of the civil user of each card meter user according to the air consumption data per unit time of the card meter and the user factors comprises the following steps:
And determining the gas consumption of the civil user of each card meter user in a second unit time according to the gas consumption data of the first unit time of the card meter, the time interval, the recharging gas quantity, the age stage of the user and the living habit of the user.
Preferably, the operation rule of the appliance includes business hours and operation conversion rules, and the step of determining the air consumption of each commercial user in the second unit time according to the air consumption data of the commercial first unit time, the air consumption data of the first unit time and the operation rule of the appliance includes:
classifying the commercial first unit time gas consumption data according to the appliance type to obtain first unit time gas consumption data of the kitchen range and first unit time gas consumption data of the cooker;
Determining the second air consumption per unit time of commercial users of each kitchen range user according to the air consumption data per unit time of the kitchen range and business hours;
And determining the second air consumption per unit time of the commercial users of each pot user according to the first air consumption per unit time data of the pot and the operation conversion rule.
Preferably, the step of determining the second air consumption per unit time of each industrial user according to the industrial first air consumption per unit time data and the unit GDP energy consumption comprises the following steps:
Classifying the first industrial air consumption data in unit time according to the scale type to obtain large industrial air consumption data in unit time and medium and small industrial air consumption data in unit time;
determining the second air consumption per unit time of the industrial user of each large industrial user according to the air consumption data per unit time of the large industrial and the unit GDP energy consumption;
And carrying out data conversion on the gas consumption data of the first unit time of the medium and small industries to obtain the gas consumption of the second unit time of the industrial user of each medium and small industrial user.
Preferably, the step of converting the data of the first air consumption unit time of the small and medium-sized industries to obtain the second air consumption unit time of the industrial user of each small and medium-sized industrial user includes:
Classifying the gas consumption data of the middle and small industries in the first unit time according to the type of gas consumption equipment to obtain gas consumption data of the kiln in the first unit time, gas consumption data of the industrial boiler in the first unit time and gas consumption data of the production line in the first unit time;
Carrying out average calculation on the first unit time gas consumption data of the kiln to obtain the second unit time gas consumption of the industrial user of each kiln user;
Performing gas consumption coefficient conversion on the gas consumption data of the first unit time of the industrial boiler to obtain the gas consumption of the second unit time of the industrial user of each industrial boiler user;
and performing gas consumption coefficient conversion on the gas consumption data and the working mode of the first unit time of the production line to obtain the gas consumption of the second unit time of the industrial user of each production line user.
Preferably, the step of acquiring the first air consumption data of the gas user in unit time includes:
Acquiring first unit time gas volume of a gas user, and classifying according to the data type of the first unit time gas volume; wherein the data types comprise non-remote user data and remote user data;
and copying the non-remote user data in the air quantity in the first unit time to obtain air quantity data in the first unit time.
The application further comprises a gas consumption analysis device for analyzing the gas consumption of the gas user in unit time, which comprises:
The classification module is used for acquiring the first air consumption data of the gas user in unit time and classifying the first air consumption data in unit time according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use;
The civil module is used for determining the gas consumption of each civil user in the second unit time according to the civil first unit time gas consumption data and the civil characteristics; wherein the first unit time is greater than the second unit time;
The commercial module is used for determining the gas consumption of each commercial user in the second unit time according to the commercial first unit time gas consumption data and the operation rule of the appliance;
and the industrial module is used for determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption.
The application also comprises an electronic device which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the steps of the gas consumption analysis method of the gas user when being executed by the processor.
In order to realize the method, the steps of the gas consumption analysis method of the gas user are realized when the computer program is executed by a processor.
The application has the following advantages:
In the embodiment of the application, compared with the prior art that the gas consumption of the hour cannot be obtained, the application provides a solution of processing user classification, which is specifically as follows: acquiring first unit time gas consumption data of a gas user, and classifying the first unit time gas consumption data according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use; determining the second air consumption of each civil user in unit time according to the civil first air consumption data in unit time and the civil characteristics; wherein the first unit time is greater than the second unit time; determining the gas consumption of each commercial user in the second unit time according to the gas consumption data of the commercial first unit time and the operation rule of the appliance; and determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption. The method solves the problem that the gas consumption of the users in different meter reading periods cannot be obtained by ' processing the classification of the users ', and ' can be accurately and rapidly converted into the gas consumption of the hours ', so as to meet the requirements of safe production and operation of urban fuel gas '.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of steps of a gas consumption analysis method for a gas user according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an embodiment of an application of a method for analyzing gas consumption of a gas consumer;
FIG. 3 is a block diagram of a gas consumption analysis device for a gas user according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In order that the manner in which the above recited objects, features and advantages of the present application are obtained will become more readily apparent, a more particular description of the application briefly described above will be rendered by reference to the appended drawings. It will be apparent that the described embodiments are some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The inventors found by analyzing the prior art that: the premise of the safe and stable supply of the urban fuel gas is to balance the non-uniformity of the upstream unit gas supply and the downstream user gas supply, and the minimum unit of balance is the gas consumption in hours, namely the natural gas flow consumed in one hour continuously. But for millions of urban gas end users, the hour gas consumption cannot be obtained in time. The resident users and the small business users finish one-time copying in 1-3 months, part of industrial users finish one-time copying every week, and part of users provided with the meter of the internet of things finish one-time copying every day, so that the invention accurately and rapidly converts users with different meter reading periods into the gas consumption in an hour, thereby providing a data base element for the safe and stable supply of urban fuel gas.
In any embodiment of the present application, the method is used for analyzing the gas consumption of the gas user in unit time, and the first unit time is month and the second unit time is hour.
Referring to fig. 1, a step flow chart of a gas consumption analysis method for a gas user according to an embodiment of the present application is shown, which specifically includes the following steps:
S110, acquiring first unit-time gas consumption data of a gas user, and classifying the first unit-time gas consumption data according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use;
S120, determining the second air consumption of each civil user in unit time according to the first air consumption data of the civil user in unit time and the civil characteristics; wherein the first unit time is greater than the second unit time;
s130, determining the second air consumption of each commercial user in unit time according to the air consumption data of the commercial first unit time and the operation rule of the appliance;
and S140, determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption per unit time.
In the embodiment of the application, compared with the prior art that the gas consumption of the hour cannot be obtained, the application provides a solution of processing user classification, which is specifically as follows: acquiring first unit time gas consumption data of a gas user, and classifying the first unit time gas consumption data according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use; determining the second air consumption of each civil user in unit time according to the civil first air consumption data in unit time and the civil characteristics; wherein the first unit time is greater than the second unit time; determining the gas consumption of each commercial user in the second unit time according to the gas consumption data of the commercial first unit time and the operation rule of the appliance; and determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption. The method solves the problem that the gas consumption of the users in different meter reading periods cannot be obtained by ' processing the classification of the users ', and ' can be accurately and rapidly converted into the gas consumption of the hours ', so as to meet the requirements of safe production and operation of urban fuel gas '.
Next, a gas consumption analysis method of the gas user in the present exemplary embodiment will be further described.
As described in the step S110, the first air consumption data in unit time of the gas user is obtained, and the first air consumption data in unit time is classified according to the user type; the user categories include civilian use, commercial use and industrial use.
In an embodiment of the present invention, the step S110 of "obtaining the first air consumption data of the gas user in unit time and classifying the first air consumption data in unit time according to the user type" may be further described in conjunction with the following description; the user category includes civil, commercial and industrial processes.
The method comprises the following steps of obtaining first unit time gas volume of a gas user, and classifying according to data types of the first unit time gas volume; wherein the data types comprise non-remote user data and remote user data; and obtaining the gas consumption data of the first unit time by copying the non-remote user data in the gas consumption of the first unit time, wherein the data is specifically shown in figure 2.
In a specific embodiment, firstly, acquiring first air consumption data of all gas users in an area in unit time, and screening analysis objects, namely non-remote user data, in the whole data through a database or Excel and other tools to obtain the first air consumption data in unit time; the first unit time is month, namely month gas transfer quantity, and the month gas transfer quantity is that the gas enterprise finishes one transfer from each month to the user's home, so as to obtain the gas consumption of the user in the month, and charge the gas fee
The non-remote user data is data obtained by indirect computer transmission, on-site reading and the like.
As described in the step S120, determining a second air consumption per unit time of each civil user according to the first air consumption per unit time data and the civil characteristics; wherein the first unit time is greater than the second unit time.
In one embodiment of the present invention, the "determining the second air consumption per unit time of each civil user according to the civil first air consumption data per unit time and the civil characteristics" described in step S120 may be further described in conjunction with the following description; wherein the first unit time is greater than the second unit time.
And classifying the civil air consumption data in the first unit time according to the type of the civil table to obtain air consumption data in the first unit time of the card table, air consumption data in the first unit time of the general table, air consumption data in the first unit time of the Internet of things table and air consumption data in the first unit time of the fireplace.
As an example, the second air consumption per unit time of the civil user includes the second air consumption per unit time of the katable user, the second air consumption per unit time of the general table user, the second air consumption per unit time of the internet of things table user, and the second air consumption per unit time of the fireplace table user.
In one embodiment, for residential users, we can use the non-uniformity coefficient method, the simultaneous work coefficient method, and the thermal index method to calculate the residential user's hour gas usage. And meanwhile, a working coefficient method is adopted to find out a daily non-uniformity coefficient Kd and an hour non-uniformity coefficient Kh, namely Qh= QmKdKh. And searching for the simultaneous working coefficients Kt of different types of users, the simultaneous working coefficients K0 of the same burner or the same combined burner, and the single rated flow Qn of the same burner or the same combined burner, wherein Q_h=K_tΣK_t0Q_ n N. According to the heat index method, the gas consumption index q of residents per hour is calculated according to the gas consumption index q (kJ/(man's x a)), and according to the number N of residents, the gasification rate K and the low heat value Hl of fuel gas, the gas consumption per hour qh= qNK/Hl can be obtained.
The method has limitations and instability for the non-uniform coefficient method, the simultaneous working coefficient method, the calorific value method and the economic index method.
The influence of resident lifestyle on weekly resident gas consumption and commercial user gas consumption is almost the same. The working and rest system of the industrial enterprises is also regular. The hour gas consumption working condition of the resident user is related to the living habit of the resident, the gasification quantity of the residence and the like.
For the non-uniformity coefficient method, the gas use non-uniformity of various users depends on many factors, such as climate conditions, living standard and living habit of residents, work and rest system of institutions, working shifts of industrial enterprises, the condition of arranging gas use equipment in buildings and workshops, and the like, and the influence of the factors on the non-uniformity cannot be deduced theoretically, and reliable data of the required working conditions can be obtained only by accumulating a large amount of data and scientifically arranging the accumulated data. In addition, the number of hours of maximum utilization of the air supply by residents and commercial users varies depending on the population of towns. The simultaneous working coefficients K of the household burners are shown in table 1 below.
TABLE 1 Simultaneous working coefficient K of household burner
The simultaneous working coefficients reflect the degree of centralized use of the gas appliance, and the gas consumption per hour can be obtained by the coefficient, the simultaneous working coefficients of different types of users, and the single rated flow of the same gas appliance or the same gas appliance, the same gas appliance or the same combined gas appliance number. The simultaneous working coefficients of table 1 indicate that all gas appliances cannot be used simultaneously, so in practice the calculated gas hourly flow rate will not be the sum of the rated flow rates of all gas appliances. The more users, the smaller the simultaneous work coefficients. The coefficients also vary depending on the burner type. However, for estimating the air consumption of users in the same district, the premise of adopting the simultaneous working coefficients is that the double-hole stoves and the water heaters used in the families of the resident users have the same rated power, and in addition, the users only install the gas double-hole stoves or install the gas double-hole stoves and the water heaters at the same time, so that statistics cannot be carried out.
In the heat index method, the gas consumption of residential users is estimated by the heat value of the gas and the gasification rate of residential users, wherein the natural gas of different gas sources has different compositions. In addition, when the gas consumption of the resident is calculated, the gas consumption of the resident at different moments is different, which affects the gasification rate of the resident user at the moment.
And determining the second air consumption per unit time of the civil user of each card table user according to the air consumption data per unit time of the card table and the user factors as described in the following steps.
In an embodiment of the present invention, the specific process of "determining the second air consumption per unit time of the civil user of each card table user according to the air consumption data per unit time of the card table and the user factors" described in the step may be further described in connection with the following description.
And determining the air consumption of the civil user of each card meter user in the second unit time according to the air consumption data of the first unit time of the card meter, the time interval, the recharging air quantity, the age stage of the user and the living habit of the user.
As an example, the second unit time is an hour, that is, an hour gas consumption amount, which is a consumption amount of gas by the user in any one hour.
In a specific embodiment, for the card meter user, only the information of user recharging and no information of user gas consumption are provided, so that the overall number of such users needs to be counted, and Q hours= (Q Total (S) * X1* X2)/T is calculated according to the time interval T of user recharging twice and the recharging gas quantity Q Total (S) and by combining the conversion coefficients of user age stage X 1, user life habit X 2 and the like.
And determining the second air consumption per unit time of the civil user of each general user according to the air consumption data per unit time, the non-uniformity coefficient or the simultaneous working coefficient of the general user as described in the following steps.
In a specific embodiment, for general users, the data about the time of month can be obtained, and the gas consumption data granularity of the users can be reduced to be hours by means of non-uniform coefficients, simultaneous working coefficients and the like.
Note that, the non-uniformity coefficient: the method is divided into a month unevenness coefficient, a day unevenness coefficient and an hour unevenness coefficient, wherein the month unevenness coefficient=average daily air consumption per year average daily air consumption per month; daily non-uniformity coefficient = daily gas amount/average daily gas amount in the month; hour non-uniformity coefficient = hour gas usage/average hour gas usage on the day.
Assuming that the total monthly transcription amount of general users is Q mp, the daily non-uniformity coefficient K d, the hour non-uniformity coefficient K h and the working coefficient W are the same, the rated gas consumption of each user is Q Forehead (forehead) , and the total user amount of one residential area is D
Q Hours of 1=(（ (Qmp/30)* Kd）/24)* Kh;
Q Hours of 2=Q Forehead (forehead) *D*W；
If Q Hours of 1>Q Hours of 2 is reached, Q Hours of 1 is taken, otherwise, the daily non-uniformity coefficient K d is readjusted, and the hour non-uniformity coefficient K h is calculated again.
And carrying out average calculation according to the air consumption data of the first unit time of the Internet of things list to obtain the air consumption of the second unit time of the civil user of each Internet of things list user.
In a specific embodiment, the internet of things list can be directly read or calculated to obtain the second air consumption per unit time of the civil user; or carrying out average calculation according to the first air consumption data of the Internet of things list to obtain the second air consumption of the civil user of each Internet of things list user.
And determining the second air consumption per unit time of the civil user of each fireplace user according to the first air consumption per unit time data of the fireplace and natural condition factors.
In a specific embodiment, besides the conventional analysis method, the user of the wall-hanging stove for heating needs to consider time factors, temperature factors and habit factors.
Assuming that the time coefficient of a user for heating the wall-mounted furnace is t, the temperature coefficient is d, and the habit coefficient is x.
Q Hours of =Qmp/30/24*t*d*x
As described in the above step S130, the second air consumption per unit time of each commercial user is determined according to the air consumption data per unit time and the operation rule of the appliance.
In one embodiment, the gas usage by a business user is related to its daily operating time and the daily habits of surrounding residents. For commercial users, daily gas consumption is obtained by adopting a daily non-uniformity coefficient, and because different commercial users use different gas in time every day, the daily gas consumption time is judged according to the commercial type of the commercial users, so that the gas consumption per hour of the commercial users can be obtained.
In an embodiment of the present invention, the specific process of "determining the second air consumption per unit time of each commercial user according to the air consumption data per unit time and the operation rule of the appliance" in step S130 may be further described in conjunction with the following description.
And classifying the commercial gas consumption data in the first unit time according to the appliance type to obtain gas consumption data in the first unit time of the kitchen range and gas consumption data in the first unit time of the kitchen range.
In a specific embodiment, the gas consumption of the first unit time of the business can also be classified according to the property to obtain gas consumption data of the first unit time of the small business, gas consumption data of the first unit time of the hotel class, gas consumption data of the first unit time of the government canteen and gas consumption data of the first unit time of the school canteen; the small business usually adopts a kitchen range for use, so that the gas consumption data of the small business in the first unit time is the gas consumption data of the kitchen range in the first unit time; the hotels are usually used by adopting boilers, so that the gas consumption data of the hotels in the first unit time are the gas consumption data of the hotels in the first unit time; the government canteen is generally used by a kitchen range, so that the first unit time gas consumption data of the government canteen is the first unit time gas consumption data of the kitchen range; the school canteen is generally used by a kitchen range, so that the gas consumption data of the school canteen in the first unit time is the gas consumption data of the kitchen range in the first unit time.
As an example, commercial users focus on distinguishing cooktops and boilers according to the gas utilization equipment of the users, the gas utilization of the cooktops can regularly fluctuate along with breakfast, lunch and dinner, and the gas consumption can be converted into the gas consumption of the hours according to business hours according to the acquired transcription data with month as the granularity.
And determining the second air consumption per unit time of the commercial user of each kitchen range user according to the air consumption data per unit time of the kitchen range and business hours as described in the following steps.
In a specific embodiment, assuming that the conversion coefficient of the workday and holiday in each month is D and the conversion coefficient of the dining time and the non-dining time in one day is H, the gas consumption of the kitchen range business user is equal to the gas consumption of the kitchen range business user in hours:
Q Hours of = Qmp/30/24*D*H
And determining the second air consumption per unit time of the commercial user of each pot user according to the first air consumption per unit time data of the pot and the operation conversion rule.
In a specific embodiment, the gas consumption characteristics of the boiler users are that the gas consumption has continuity, the boiler is divided into a heating stage and a heat preservation stage, and according to the acquired transcription data taking month as the time granularity, the data granularity can be converted into the unit of hour by combining the operation conversion rule of heating and heat preservation of the boiler.
Assuming the conversion coefficient of boiler heating and heat preservation is K, the gas consumption of the boiler commercial users in hours is as follows:
Q Hours of = Qmp/30/24*K
as described in the above step S140, the second air consumption per unit time of each industrial user is determined according to the industrial first air consumption per unit time data and the unit GDP energy consumption.
In a specific embodiment, for an industrial user, when calculating the hour gas consumption, the work system, the working time and other factors are generally considered to obtain the gas consumption time, and the month gas consumption and the gas consumption time are used to obtain the hour gas consumption. Similarly, the hourly gas consumption may be obtained by the non-uniformity coefficient method from the daily non-uniformity coefficient and the hourly non-uniformity coefficient. In addition, for industrial users, the economic index method can be adopted to calculate the gas consumption per hour, the total domestic production value is queried by combining the energy consumption of the unit GDP (namely, the ratio of the total energy consumption to the total domestic production value), the standard coal of ton can be consumed under the GDP can be calculated, then the total gas consumption of the GDP can be obtained according to the heat values of the standard coal and the natural gas, and the gas consumption per hour can be obtained through the gas consumption per month. The gas consumption working condition of the industrial user is related to the production scale, the duty and the like.
In one embodiment of the present invention, the specific process of "determining the second air consumption per unit time for each industrial user based on the industrial first air consumption per unit time data and the unit GDP energy consumption" described in step S140 may be further described in connection with the following description.
And classifying the industrial first-unit-time gas consumption data according to the scale type to obtain large-scale industrial first-unit-time gas consumption data and medium-scale and small-scale industrial first-unit-time gas consumption data.
In a specific embodiment, the industrial users have large gas consumption and strong randomness, and impact on the urban gas network is large, so that the method is the object of important analysis.
The second air consumption per unit time of the industrial consumer for each large industrial consumer is determined from the large industrial first air consumption per unit time data and the unit GDP energy consumption, as described in the following steps.
As one example, the second air usage per unit time of the industrial user for each large industrial user is determined from the large industrial first air usage per unit time data.
In one embodiment, large industrial users often install traffic remote monitoring equipment to perform readings of the number of traffic on site.
In one embodiment, we need to get a unit of GDP energy consumption when calculating the hour gas usage using economic indicators. For industrial users, the gas consumption per hour can be calculated by adopting an economic index method, the total domestic production value is queried by combining the energy consumption of the unit GDP (namely the ratio of the total energy consumption to the total domestic production value), the standard coal of ton can be consumed under the GDP can be calculated, and then the total gas consumption of the GDP can be obtained according to the heat values of the standard coal and the natural gas, so that the gas consumption per hour can be obtained through the gas consumption per month.
And as described in the following steps, performing data conversion on the first air consumption data in unit time of the medium and small industries to obtain the second air consumption in unit time of the industrial user of each medium and small industrial user.
In an embodiment of the present invention, the specific process of "converting the data of the first air consumption unit time of the middle and small industrial users into the second air consumption unit time of the industrial users of each middle and small industrial users" described in the step may be further described in connection with the following description.
And classifying the gas consumption data of the middle and small-sized industries in the first unit time according to the type of the gas consumption equipment to obtain gas consumption data of the furnaces in the first unit time, gas consumption data of the industrial boilers in the first unit time and gas consumption data of the production line in the first unit time.
In a specific embodiment, small and medium-sized industrial users are classified into kiln users, boiler users and production line users according to the type of gas utilization equipment under the condition of no remote monitoring.
And as described in the following steps, carrying out average calculation on the first air consumption data of the kiln to obtain the second air consumption of the industrial user of each kiln user.
In one embodiment, the kiln is relatively stable for 7 x 24 hours without interruption, so that Q h=Qm/26/24 is considered approximately.
And as described in the following steps, performing gas consumption coefficient conversion on the gas consumption data of the first unit time of the industrial boiler to obtain the gas consumption of the second unit time of the industrial user of each industrial boiler user.
In a specific embodiment, the industrial boiler users calculate the operation time of heating and heat preservation of the boiler according to the production process of the industrial boiler, convert the operation time into gas consumption coefficients, and assist in data conversion, and the calculation mode can refer to the boiler commercial users, Q Hours of = Qmp/30/24 x K.
And as described in the following steps, performing gas consumption coefficient conversion on the gas consumption data and the working mode of the first unit time of the production line to obtain the gas consumption of the second unit time of the industrial user of each production line user.
In one embodiment, the production line users determine the production time and the gas consumption time according to the production process, the enterprise scale and the shift pattern of the product, convert the gas consumption time into a gas consumption coefficient and restore the gas consumption amount in hours.
Assuming that the daily gas consumption coefficient is D and the hour gas consumption coefficient is H, the gas consumption of industrial users in the production line is as follows:
Q Hours of = Qmp/30/24*D*H
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
Referring to fig. 3, an apparatus for analyzing gas consumption of a gas user according to an embodiment of the present application specifically includes the following modules,
Classification module 310: the method comprises the steps of acquiring first unit-time gas consumption data of a gas user, and classifying the first unit-time gas consumption data according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use;
civil module 320: the method comprises the steps of determining the second air consumption of each civil user according to the civil first air consumption data and the civil characteristics; wherein the first unit time is greater than the second unit time;
commercial module 330: the method comprises the steps of determining the second air consumption of each commercial user in unit time according to the air consumption data of the commercial first unit time and the operation rule of the appliance;
Industrial module 340: and the second air consumption unit time of each industrial user is determined according to the first air consumption unit time data and the GDP energy consumption unit.
In one embodiment of the present invention, the classification module 310 includes:
classification submodule: the method comprises the steps of obtaining first unit time copying gas quantity of a gas user, and classifying according to data types of the first unit time copying gas quantity; wherein the data types comprise non-remote user data and remote user data;
The first gas consumption data sub-module in unit time: and the method is used for copying the non-remote user data in the air quantity in the first unit time to obtain air quantity data in the first unit time.
In one embodiment of the present invention, the civil module 320 includes:
civil classification sub-module: the method comprises the steps of classifying the civil first unit time gas consumption data according to civil table types to obtain card table first unit time gas consumption data, general table first unit time gas consumption data, internet of things table first unit time gas consumption data and fireplace first unit time gas consumption data;
And a card meter sub-module: the method comprises the steps of determining the gas consumption of a civil user of each card meter user in a second unit time according to the gas consumption data of the card meter in the first unit time and the user factors;
and a general table sub-module: the method comprises the steps of determining the gas consumption of civil users of each general list user in a second unit time according to the gas consumption data of the general list in the first unit time, the non-uniformity coefficient or the simultaneous working coefficient;
The table submodule of thing networking: the method comprises the steps of carrying out average calculation according to first unit-time air consumption data of the Internet of things list to obtain second unit-time air consumption of civil users of each Internet of things list user;
Wall furnace module: and the method is used for determining the second air consumption per unit time of the civil user of each fireplace user according to the first air consumption per unit time data of the fireplace and natural condition factors.
In an embodiment of the present invention, the card table submodule includes:
Card meter user sub-module: and the second unit time gas consumption of the civil user of each card meter user is determined according to the first unit time gas consumption data of the card meter, the time interval, the recharging gas quantity, the age stage of the user and the living habit of the user.
In one embodiment of the present invention, the business module 330 includes:
Commercial classification sub-module: the method comprises the steps of classifying the commercial first unit-time gas consumption data according to appliance types to obtain kitchen range first unit-time gas consumption data and cooker first unit-time gas consumption data;
A kitchen range sub-module: the gas consumption unit is used for determining the gas consumption of the commercial users of each kitchen range user according to the gas consumption data of the kitchen range in the first unit time and business hours;
pan submodule: and the second unit time gas consumption of the commercial users of each pot user is determined according to the first unit time gas consumption data of the pot and the operation conversion rule.
In one embodiment of the present invention, the industrial module 340 includes:
Industrial classification sub-module: the method comprises the steps of classifying the industrial first unit-time gas consumption data according to scale types to obtain large-scale industrial first unit-time gas consumption data and medium-scale and small-scale industrial first unit-time gas consumption data;
Large-scale industrial submodule: the method comprises the steps of determining the second air consumption per unit time of an industrial user of each large industrial user according to the first air consumption per unit time data of the large industrial and the unit GDP energy consumption;
Middle-size and small-size industry submodule: and the second unit-time gas consumption of the industrial user of each medium and small industrial user is obtained by performing data conversion on the first unit-time gas consumption data of the medium and small industrial.
In an embodiment of the present invention, the middle and small industrial submodule includes:
Small and medium sized classification sub-module: the gas consumption data of the medium and small-sized industries in the first unit time are classified according to the type of gas consumption equipment to obtain gas consumption data of the furnaces in the first unit time, gas consumption data of the industrial boilers in the first unit time and gas consumption data of the production line in the first unit time;
Kiln furnace module: the method comprises the steps of carrying out average calculation on the first unit-time gas consumption data of the kiln to obtain second unit-time gas consumption of industrial users of each kiln user;
Industrial furnace module: the gas consumption coefficient conversion is used for carrying out gas consumption coefficient conversion on the gas consumption data of the first unit time of the industrial boiler to obtain the gas consumption of the second unit time of the industrial user of each industrial boiler user;
Production line submodule: and the gas consumption coefficient conversion is used for carrying out gas consumption coefficient conversion on the gas consumption data and the working mode of the first unit time of the production line to obtain the gas consumption of the second unit time of the industrial user of each production line user.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
In this embodiment and the above embodiments, repeated operation steps are provided, and this embodiment is only described briefly, and the rest of the solutions only need to be described with reference to the above embodiments.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
Referring to fig. 4, a computer device for illustrating a gas consumption analysis method of a gas user according to the present application may specifically include the following:
The computer device 12 described above is embodied in the form of a general purpose computing device, and the components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 that connects the various system components, including the memory 28 and the processing unit 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (commonly referred to as a "hard disk drive"). Although not shown in fig. 4, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk such as a CD-ROM, DVD-ROM, or other optical media may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42, the program modules 42 being configured to carry out the functions of embodiments of the application.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, a memory, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules 42, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, camera, etc.), one or more devices that enable an operator to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through the I/O interface 22. Moreover, computer device 12 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet, through network adapter 20. As shown in fig. 4, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be appreciated that although not shown in fig. 4, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units 16, external disk drive arrays, RAID systems, tape drives, data backup storage systems 34, and the like.
The processing unit 16 executes programs stored in the memory 28 to perform various functional applications and data processing, for example, to implement a gas usage analysis method for a gas user according to an embodiment of the present application.
That is, the processing unit 16 realizes when executing the program: acquiring first unit time gas consumption data of a gas user, and classifying the first unit time gas consumption data according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use; determining the second air consumption of each civil user in unit time according to the civil first air consumption data in unit time and the civil characteristics; wherein the first unit time is greater than the second unit time; determining the gas consumption of each commercial user in the second unit time according to the gas consumption data of the commercial first unit time and the operation rule of the appliance; and determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption.
In the embodiments of the present application, the present application further provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements a gas usage analysis method for a gas user as provided in all the embodiments of the present application.
That is, the program is implemented when executed by a processor: acquiring first unit time gas consumption data of a gas user, and classifying the first unit time gas consumption data according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use; determining the second air consumption of each civil user in unit time according to the civil first air consumption data in unit time and the civil characteristics; wherein the first unit time is greater than the second unit time; determining the gas consumption of each commercial user in the second unit time according to the gas consumption data of the commercial first unit time and the operation rule of the appliance; and determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption.
Any combination of one or more computer readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Computer program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the operator's computer, partly on the operator's computer, as a stand-alone software package, partly on the operator's computer and partly on a remote computer or entirely on the remote computer or server. In the case of remote computers, the remote computer may be connected to the operator computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (e.g., connected through the internet using an internet service provider). In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the application.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or terminal device that comprises the element.
The above description is made in detail on the gas consumption analysis method and device for gas users provided by the application, and specific examples are applied to explain the principle and implementation of the application, and the above examples are only used for helping to understand the method and core idea of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (8)
1. A gas consumption analysis method for analyzing gas consumption of a gas user per unit time, comprising:
Acquiring first unit time gas consumption data of a gas user, and classifying the first unit time gas consumption data according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use;
Determining the second air consumption of each civil user in unit time according to the civil first air consumption data in unit time and the civil characteristics; wherein the first unit time is greater than the second unit time; the civil characteristics comprise user factors, non-uniformity coefficients, simultaneous working coefficients and natural factors, and the civil first unit time gas consumption data are classified according to civil table types to obtain card table first unit time gas consumption data, general table first unit time gas consumption data, internet of things table first unit time gas consumption data and fireplace first unit time gas consumption data; determining the second air consumption per unit time of civil users of each card meter user according to the air consumption data per unit time of the card meter and the user factors; determining the gas consumption of the civil user of each general table user in a second unit time according to the gas consumption data of the general table in the first unit time and the non-uniformity coefficient or the simultaneous working coefficient; carrying out average calculation according to the first unit-time air consumption data of the Internet of things list to obtain the second unit-time air consumption of the civil user of each Internet of things list user; determining the second air consumption per unit time of civil users of each fireplace user according to the first air consumption per unit time data of the fireplace and natural condition factors;
determining the gas consumption of each commercial user in the second unit time according to the gas consumption data of the commercial first unit time and the operation rule of the appliance;
Determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption; classifying the first unit-time gas consumption data for the industry according to the scale type to obtain first unit-time gas consumption data for the large industry and first unit-time gas consumption data for the medium and small industries; determining the second air consumption per unit time of the industrial user of each large industrial user according to the first air consumption per unit time data and the GDP energy consumption per unit time; and carrying out data conversion on the first air consumption data in unit time for the middle and small industrial users to obtain the second air consumption in unit time for the industrial users of each middle and small industrial user.
2. The gas consumption analysis method according to claim 1, wherein the step of determining the gas consumption per unit time of the civil user of each card meter user based on the first gas consumption per unit time data of the card meter and the user factor comprises:
And determining the gas consumption of the civil user of each card meter user in a second unit time according to the gas consumption data of the first unit time of the card meter, the time interval, the recharging gas quantity, the age stage of the user and the living habit of the user.
3. The gas consumption analysis method according to claim 1, wherein the appliance operation law includes business hours and operation conversion law, wherein the step of determining the gas consumption per second unit time of each commercial user based on the commercial first gas consumption per unit time data, the first gas consumption per unit time data, and the appliance operation law comprises:
classifying the commercial first unit time gas consumption data according to the appliance type to obtain first unit time gas consumption data of the kitchen range and first unit time gas consumption data of the cooker;
Determining the second air consumption per unit time of commercial users of each kitchen range user according to the air consumption data per unit time of the kitchen range and business hours;
And determining the second air consumption per unit time of the commercial users of each pot user according to the first air consumption per unit time data of the pot and the operation conversion rule.
4. The gas consumption analysis method of claim 1, wherein the step of performing data conversion on the gas consumption data of the first unit time for the middle and small industrial users to obtain the gas consumption of the second unit time for the industrial users of each middle and small industrial user comprises:
Classifying the first unit-time gas consumption data for the middle and small-sized industrial use according to the type of gas consumption equipment to obtain kiln first unit-time gas consumption data, industrial boiler first unit-time gas consumption data and production line first unit-time gas consumption data;
Carrying out average calculation on the first unit time gas consumption data of the kiln to obtain the second unit time gas consumption of the industrial user of each kiln user;
Performing gas consumption coefficient conversion on the gas consumption data of the first unit time of the industrial boiler to obtain the gas consumption of the second unit time of the industrial user of each industrial boiler user;
and performing gas consumption coefficient conversion on the gas consumption data and the working mode of the first unit time of the production line to obtain the gas consumption of the second unit time of the industrial user of each production line user.
5. The gas consumption analysis method of claim 1, wherein the step of acquiring the first gas consumption data per unit time of the gas user comprises:
Acquiring first unit time gas volume of a gas user, and classifying according to the data type of the first unit time gas volume; wherein the data types comprise non-remote user data and remote user data;
and copying the non-remote user data in the air quantity in the first unit time to obtain air quantity data in the first unit time.
6. A gas consumption analysis device for analyzing a gas consumption of a gas user per unit time, comprising:
The classification module is used for acquiring the first air consumption data of the gas user in unit time and classifying the first air consumption data in unit time according to the type of the user; wherein, the user types comprise civil use, commercial use and industrial use;
The civil module is used for determining the gas consumption of each civil user in the second unit time according to the civil first unit time gas consumption data and the civil characteristics; wherein the first unit time is greater than the second unit time; the civil characteristics comprise user factors, non-uniformity coefficients, simultaneous working coefficients and natural factors, and the civil first unit time gas consumption data are classified according to civil table types to obtain card table first unit time gas consumption data, general table first unit time gas consumption data, internet of things table first unit time gas consumption data and fireplace first unit time gas consumption data; determining the second air consumption per unit time of civil users of each card meter user according to the air consumption data per unit time of the card meter and the user factors; determining the gas consumption of the civil user of each general table user in a second unit time according to the gas consumption data of the general table in the first unit time and the non-uniformity coefficient or the simultaneous working coefficient; carrying out average calculation according to the first unit-time air consumption data of the Internet of things list to obtain the second unit-time air consumption of the civil user of each Internet of things list user; determining the second air consumption per unit time of civil users of each fireplace user according to the first air consumption per unit time data of the fireplace and natural condition factors;
The commercial module is used for determining the gas consumption of each commercial user in the second unit time according to the commercial first unit time gas consumption data and the operation rule of the appliance;
The industrial module is used for determining the second air consumption per unit time of each industrial user according to the first air consumption per unit time data and the GDP energy consumption per unit time; classifying the first unit-time gas consumption data for the industry according to the scale type to obtain first unit-time gas consumption data for the large industry and first unit-time gas consumption data for the medium and small industries; determining the second air consumption per unit time of the industrial user of each large industrial user according to the first air consumption per unit time data and the GDP energy consumption per unit time; and carrying out data conversion on the first air consumption data in unit time for the middle and small industrial users to obtain the second air consumption in unit time for the industrial users of each middle and small industrial user.
7. An electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the gas usage analysis method of a gas user according to any one of claims 1 to 5.
8. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, which when executed by a processor, implements the steps of the gas usage analysis method of a gas user according to any one of claims 1 to 5.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170004182A (en) * | 2015-07-01 | 2017-01-11 | 주식회사 나노켐 | Gas usage detecting method of a boiler only using network and detecting server for the same |
| CN108256752A (en) * | 2018-01-02 | 2018-07-06 | 北京市燃气集团有限责任公司 | A kind of analysis method of gas user gas behavior |
| CN109558673A (en) * | 2018-11-28 | 2019-04-02 | 四川岚强石油天然气工程勘察设计有限责任公司 | A kind of natural gas transmission and distribution system Adaptability Analysis research method |
| CN112530091A (en) * | 2020-12-04 | 2021-03-19 | 广州广燃设计有限公司 | Technical method applied to research on gas utilization law of gas users |
| CN112581726A (en) * | 2020-12-07 | 2021-03-30 | 武汉千音科技有限公司 | Intelligent infrared data transmission gas meter and gas leakage alarm system |
| CN112683344A (en) * | 2020-12-18 | 2021-04-20 | 广州广燃设计有限公司 | Metering device applied to gas usage law research of gas users |
| CN114266170A (en) * | 2021-12-31 | 2022-04-01 | 深圳市爱路恩济能源技术有限公司 | Method and device for identifying gas source supply range in gas transmission and distribution pipe network |
| CN114328444A (en) * | 2021-11-09 | 2022-04-12 | 广州金燃智能系统有限公司 | Gas data modeling method and system based on dimension analysis and electronic equipment |
| CN115798155A (en) * | 2022-10-13 | 2023-03-14 | 润控(郑州)智能装备有限公司 | Natural gas metering and analyzing system |
| CN115993808A (en) * | 2022-09-29 | 2023-04-21 | 新奥数能科技有限公司 | System and method for diagnosing energy consumption of gas steam boiler |
-
2023
- 2023-05-24 CN CN202310597284.6A patent/CN116756629B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170004182A (en) * | 2015-07-01 | 2017-01-11 | 주식회사 나노켐 | Gas usage detecting method of a boiler only using network and detecting server for the same |
| CN108256752A (en) * | 2018-01-02 | 2018-07-06 | 北京市燃气集团有限责任公司 | A kind of analysis method of gas user gas behavior |
| CN109558673A (en) * | 2018-11-28 | 2019-04-02 | 四川岚强石油天然气工程勘察设计有限责任公司 | A kind of natural gas transmission and distribution system Adaptability Analysis research method |
| CN112530091A (en) * | 2020-12-04 | 2021-03-19 | 广州广燃设计有限公司 | Technical method applied to research on gas utilization law of gas users |
| CN112581726A (en) * | 2020-12-07 | 2021-03-30 | 武汉千音科技有限公司 | Intelligent infrared data transmission gas meter and gas leakage alarm system |
| CN112683344A (en) * | 2020-12-18 | 2021-04-20 | 广州广燃设计有限公司 | Metering device applied to gas usage law research of gas users |
| CN114328444A (en) * | 2021-11-09 | 2022-04-12 | 广州金燃智能系统有限公司 | Gas data modeling method and system based on dimension analysis and electronic equipment |
| CN114266170A (en) * | 2021-12-31 | 2022-04-01 | 深圳市爱路恩济能源技术有限公司 | Method and device for identifying gas source supply range in gas transmission and distribution pipe network |
| CN115993808A (en) * | 2022-09-29 | 2023-04-21 | 新奥数能科技有限公司 | System and method for diagnosing energy consumption of gas steam boiler |
| CN115798155A (en) * | 2022-10-13 | 2023-03-14 | 润控(郑州)智能装备有限公司 | Natural gas metering and analyzing system |
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