CN116186950A - Processing method, system, device and storage medium for gas pipe network simulation - Google Patents
Processing method, system, device and storage medium for gas pipe network simulation Download PDFInfo
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Abstract
The invention discloses a processing method, a system, a device and a storage medium for gas pipe network simulation, which can be widely applied to the technical field of gas. The method comprises the following steps: constructing a gas pipe network model in a preset area; acquiring user information of a target user in the preset area; classifying the target users according to the user information; acquiring the gas consumption of each target user after classification; acquiring the classified gas utilization curves of the target users; inputting the gas consumption and the gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area; acquiring monitoring data of each monitoring point in the preset area; and correcting the gas pipe network model according to the pipe network simulation data and the monitoring data. According to the embodiment, through classifying the users, the accurate and rapid acquisition of the gas data is realized by adopting the Internet of things table, the accuracy of the simulation of the pipe network is improved, and data support is provided for the management of the gas pipe network.
Description
Technical Field
The invention relates to the technical field of fuel gas, in particular to a processing method, a system, a device and a storage medium for analog simulation of a fuel gas pipe network.
Background
In the related art, since the existing gas meter cannot record data accurate to day and accurate to hour, the estimation can only be performed according to the monthly meter reading data, resulting in low time fineness of the estimated data. Also, meter reading requires personnel to go to the gate and takes time, so that a problem of inconsistent data periods is easily generated. In addition, there are some users who can't go to the gate to check meter, need to estimate this user's gas consumption through the average gas consumption of people to can't guarantee the accuracy of the gas data in the whole district, and then make the accuracy of the simulation data that obtains when carrying out gas pipe network simulation according to this gas data lower, can't provide data support for the management work of the gas pipe network of this district.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides a processing method, a system, a device and a storage medium for gas pipe network simulation, which can realize the accurate acquisition of gas data, improve the accuracy of pipe network simulation and provide data support for the management of gas pipe networks.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the invention comprises the following steps:
in one aspect, an embodiment of the present invention provides a method for processing a gas pipe network simulation, including:
constructing a gas pipe network model in a preset area;
acquiring user information of a target user in the preset area;
classifying the target users according to the user information;
acquiring the gas consumption of each target user after classification;
acquiring the classified gas utilization curves of the target users;
inputting the gas consumption and the gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area;
acquiring monitoring data of each monitoring point in the preset area;
and correcting the gas pipe network model according to the pipe network simulation data and the monitoring data.
In some embodiments of the present application, the classifying the target user according to the user information includes:
classifying the target users according to the gas consumption requirements and the gas consumption acquisition modes in the user information; the gas consumption requirement comprises domestic gas and industrial gas, and the gas consumption acquisition mode comprises acquisition through a database connection Internet of things meter, acquisition through a database connection gas meter, acquisition through a database connection acquisition device and acquisition through a gas meter.
In some embodiments of the present application, the obtaining the gas consumption of each target user after classification includes:
acquiring the time sequence data of the Internet of things table of resident users of the Internet of things table in the target users after classification;
determining daily gas consumption of resident users of the Internet of things table according to the time sequence data of the Internet of things table;
acquiring first gas meter data of other resident users in the target users after classification;
determining the daily gas consumption of the other resident users according to the first gas meter data;
acquiring the time sequence data of collectors corresponding to the large clients in the target users after classification;
determining a first hour gas consumption of the large customer according to the collector time sequence data of the large customer;
acquiring second gas meter data of other business users in the target users after classification;
and determining the daily gas consumption of the other industrial and commercial users according to the second gas meter data.
In some embodiments of the present application, after the step of obtaining the gas usage of each of the target users after the classification, the method further includes the steps of:
calculating a first ratio of the number of users of the internet of things resident users to a first numerical value, wherein the first numerical value comprises the sum of the number of users of the internet of things resident users and the number of users of other resident users;
screening the air consumption corresponding to the resident users of the Internet of things table and the other resident users according to the first ratio;
calculating a second ratio of the number of users of the large clients to a second numerical value, wherein the second numerical value comprises the sum of the number of users of the large clients and the number of users of other business users;
and screening the air consumption corresponding to the large customer and the other business users according to the second ratio.
In some embodiments of the present application, the obtaining the classified air consumption curves of the target users includes:
selecting a plurality of sampling points in the preset area;
acquiring a residential user gas consumption curve in the sampling point;
acquiring a total air supply quantity change curve, the hour air consumption of a resident user and the first hour air consumption;
calculating to obtain other industrial and commercial user gas consumption curves according to the total gas supply change curve, the residential user hour gas consumption and the first hour gas consumption;
and taking the residential user gas consumption curve and the other industrial and commercial user gas consumption curves as the target user gas consumption curve.
In some embodiments of the present application, after the step of obtaining the classified air consumption curves of the respective target users, the method further includes the steps of:
acquiring the peak-valley number and the peak-valley interval size of the residential air curve;
calculating a third ratio of the number of sampling points of the complete data transmission to a third value, wherein the third value is the sum of the number of sampling points of the complete data transmission and the total number of sampling points;
and screening the residential user air consumption curve according to the third ratio, the peak-valley number and the peak-valley interval size.
In some embodiments of the present application, the inputting the gas consumption and the gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area includes:
calculating the air consumption of the second hour according to the air consumption of the resident users and the air consumption curve of the resident users in the Internet of things table;
calculating the air consumption of the third hour according to the air consumption of the other resident users and the air consumption curve of the resident users;
calculating the air consumption of the fourth hour according to the air consumption of the other industrial and commercial users and the air consumption curve of the other industrial and commercial users;
and inputting the first hour gas consumption, the second hour gas consumption, the third hour gas consumption, the fourth hour gas consumption and the target user gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area.
On the other hand, the embodiment of the invention provides a processing system for gas pipe network simulation, which comprises:
the first module is used for constructing a gas pipe network model in a preset area;
the second module is used for acquiring the user information of the target user in the preset area;
a third module, configured to classify the target user according to the user information;
a fourth module, configured to obtain the air consumption of each target user after classification;
a fifth module, configured to obtain the classified air consumption curves of the target users;
a sixth module, configured to input the total gas consumption and the gas consumption curve into the gas pipe network model, to obtain pipe network simulation data in the preset area;
a seventh module, configured to obtain monitoring data of each monitoring point in the preset area;
and an eighth module, configured to correct the gas pipe network model according to the pipe network simulation data and the monitoring data.
On the other hand, the embodiment of the invention provides a processing device for gas pipe network simulation, which comprises:
at least one memory for storing a program;
and the at least one processor is used for loading the program to execute the processing method of the gas pipe network simulation.
In another aspect, an embodiment of the present invention provides a storage medium, in which a computer executable program is stored, where the computer executable program is used to implement the processing method of a gas pipe network simulation when executed by a processor.
The processing method for the gas pipe network simulation provided by the embodiment of the invention has the following beneficial effects:
firstly, constructing a gas pipe network model in a preset area, acquiring user information of target users in the preset area, classifying the target users according to the user information, acquiring gas consumption of each target user after classification, acquiring a gas consumption curve of each target user after classification, inputting the gas consumption and the gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area, acquiring monitoring data of each monitoring point in the preset area, and correcting the gas pipe network model according to the pipe network simulation data and the monitoring data. According to the embodiment of the application, the accurate and rapid acquisition of the gas data is realized by classifying the users and adopting the Internet of things table, the gas data is processed, the accuracy of the pipe network simulation is improved, and data support is provided for the management of the gas pipe network.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The invention is further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a schematic flow chart of a processing method for gas pipe network simulation in an embodiment of the invention;
FIG. 2 is a schematic diagram of a processing system for gas pipe network simulation according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a processing device for gas pipe network simulation in an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, the descriptions of the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the embodiment of the application, the gas consumption data which comprise the total gas consumption and the gas consumption curve are required to be accurately acquired for realizing the gas pipe network simulation. The total gas consumption is the sum of gas consumption of users in a preset time period, the gas consumption curve reflects the gas consumption distribution condition of the users in the preset time period, and the hour gas consumption of all the users can be calculated according to the total gas consumption and the gas consumption curve. And inputting the hour gas consumption and the gas consumption curve into a gas pipe network model for calculation to obtain pipe network simulation data, and then using the pipe network simulation data for correcting the gas pipe network model.
Referring to fig. 1, an embodiment of the present application provides a processing method for gas pipe network simulation, including but not limited to the following steps:
and 180, correcting the gas pipe network model according to the pipe network simulation data and the monitoring data.
In the embodiment of the present application, in classifying the target user according to the user information, specifically, the target user needs to be classified according to a gas consumption requirement and a gas consumption acquisition manner in the user information. The gas demand comprises domestic gas and industrial gas, the gas demand comprises residential users for users of the domestic gas, and the gas demand comprises industrial users for users of the industrial gas. The gas consumption acquisition mode comprises acquisition through a database connection internet of things table, acquisition through a database connection gas meter, acquisition through a database connection acquisition device and acquisition through a gas meter, wherein the gas consumption acquisition mode is that the resident user acquired through the database connection internet of things table is an internet of things table resident user, the gas consumption acquisition mode is that the resident user acquired through the database connection gas meter is other resident users, the gas consumption acquisition mode is that the business user acquired through the database connection acquisition device is a large customer, and the gas consumption acquisition mode is that the business user acquired through the gas meter is other business users.
In this embodiment of the present application, after classifying the target users according to the user information, the air consumption of each target user after classification is acquired. Specifically, the resident users of the internet of things are connected with the internet of things table through the database to acquire the time sequence data of the internet of things table, so as to acquire the daily gas consumption of the resident users of the internet of things, and part of resident users of the internet of things can directly acquire the hour gas consumption; other resident users are connected with a gas meter through a database to acquire first gas meter data in a single charging period, and first average data of each day is calculated according to the first gas meter data, wherein the first average data is the daily gas consumption of the other resident users; the method comprises the steps that a large client is connected with acquisition equipment through a database to acquire time sequence data, wherein the time sequence data is the air consumption of a first hour, part of large clients can acquire the air consumption of minutes, and the acquisition equipment comprises an RTU (real time unit) acquisition device; the method comprises the steps that other business users cannot remotely acquire gas consumption data through connecting a database, second gas meter data can be acquired only through reading a table, and daily second average data are calculated according to the second gas meter data, wherein the second average data are the daily gas consumption of the other business users.
In this embodiment of the present application, after obtaining the air consumption of each target user after classification, the method of this embodiment further includes screening the air consumption of the target user. Specifically, the gas consumption corresponding to resident users of the internet of things and other resident users is screened according to a first ratio, for example, the first ratio is 70%, and in order to ensure the accuracy of gas consumption data, the resident users of the internet of things are recommended to occupy more than 70% of all resident users; and the communication rate of the day is checked when the gas consumption of the resident user is counted, and when the communication rate is more than or equal to 90%, the gas consumption of the resident user can be used as statistical data. Meanwhile, the air consumption corresponding to the large clients and other business users is screened according to a second ratio, for example, the second ratio can be 95%, and when the ratio of the large clients to all the business users is more than or equal to 95%, the air consumption of the business users can be used as statistical data.
In this embodiment of the present application, after screening the air consumption of the target user, the method of this embodiment further includes processing air consumption data of the target user, where the processing of the air consumption data of the target user includes aligning the time sequence data and supplementing the missing data.
In this embodiment, the method of this embodiment includes obtaining the classified air consumption curves of the target users. It will be appreciated that the target user air consumption curve is plotted on the twenty-four hours a day, and the ratio of the target user's air consumption per hour to the target user's air consumption is plotted on the ordinate. And acquiring the classified gas consumption curves of the target users, wherein the classified gas consumption curves of the target users comprise a resident user gas consumption curve, a large customer gas consumption curve and other industrial and commercial user gas consumption curves. And the large customer can directly acquire the air consumption of the first hour, so that the air consumption curve of the large customer is drawn according to the air consumption of the first hour. The method comprises the steps that firstly, a plurality of sampling points are selected in a preset area, then, the high-precision gas meter is used for acquiring the hour gas curves of all resident users in the sampling points at the gas inlet in the preset area, and then, the hour gas curves of all resident users in the sampling points are weighted and integrated into the resident user gas curves. And acquiring the other industrial and commercial user gas consumption curves, namely acquiring a total gas supply quantity change curve, the residential user hour gas consumption and the first hour gas consumption, and then subtracting the residential user hour gas consumption and the first hour gas consumption from the total gas supply quantity change curve to calculate and obtain the other industrial and commercial user gas consumption curves.
In the embodiment of the application, before the residential user gas consumption curve is obtained, the residential user gas consumption curve also needs to be checked. The checking the residential user gas usage profile includes checking the residential user gas usage profile consistency and checking the residential user gas usage profile integrity. The consistency of the resident user gas consumption curves is checked, firstly, the peak-valley number and the peak-valley interval size of all resident user gas consumption curves in sampling points are required to be obtained, the consistency of the peak-valley number and the peak-valley interval size of the resident user gas consumption curves in the sampling points is judged, when the difference value between the peak-valley number of the resident user gas consumption curves in the sampling points and the average peak-valley number of all resident user gas consumption curves is smaller than or equal to a first difference value, and the difference value between the peak-valley interval size of the resident user gas consumption curves in the sampling points and the average peak-valley interval size of all resident user gas consumption curves is smaller than or equal to a second difference value, the resident user gas consumption curves in the sampling points are taken as qualified gas consumption curves; the method comprises the steps of checking the integrity of an air curve of a resident user, firstly calculating a third ratio of the number of sampling points of complete data transmission to a third numerical value, wherein the third numerical value is the sum of the number of sampling points of complete data transmission and the total number of sampling points, and the complete data transmission is that the ratio of a data transmission coverage period of a gas meter in a total period is more than 90%. And when the third ratio is more than or equal to 90%, using the qualified hour gas consumption curve obtained from the sampling point of the complete transmission of the data as statistical data.
In this embodiment, the method of this embodiment includes inputting the gas consumption and the gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area, and specifically, the gas consumption of each target resident user after classification is required to be obtained. And calculating the daily gas consumption of the resident users and the gas consumption curve of the resident users according to the Internet of things table to obtain the gas consumption of the second hour, and simultaneously calculating the gas consumption of the third hour according to the daily gas consumption of the other resident users and the gas consumption curve of the resident users, and simultaneously calculating the gas consumption of the fourth hour according to the daily gas consumption of the other business users and the gas consumption curve of the other business users. Then, the second hour gas consumption, the third hour gas consumption and the resident user gas consumption are input into the gas pipe network model, the first hour gas consumption and the large customer gas consumption are input into the gas pipe network model, the fourth hour gas consumption and the other industrial and commercial user gas consumption are input into the gas pipe network model, and the pipe network simulation data are obtained through calculation of the gas pipe network model.
In the embodiment of the application, in acquiring the monitoring data of each monitoring point in the preset area, a pressure sensor is required to be installed at each monitoring point in the preset area, and the pressure data of each monitoring point in the pipe network of the preset area is acquired through the pressure sensor.
In this embodiment of the present application, in correcting the gas pipe network model according to the pipe network simulation data and the monitoring data, specifically, the numerical distribution of the difference between the monitoring data and the pipe network simulation data is analyzed by using a rada criterion, and when the difference between the monitoring data and the pipe network simulation data is greater than a third difference, the corresponding position point information of the pipe network simulation data is obtained, so that a researcher can further correct and research the gas pipe network model.
In summary, according to the embodiment of the application, through classifying the users, the accurate and rapid acquisition of the gas data is realized by adopting the Internet of things table, the gas data is processed, the accuracy of the simulation of the pipe network is improved, and the data support is provided for the management of the gas pipe network.
Referring to fig. 2, an embodiment of the present application provides a processing system for gas pipe network simulation, including:
a first module 210, configured to construct a gas pipe network model in a preset area;
a second module 220, configured to obtain user information of a target user in the preset area;
a third module 230, configured to classify the target user according to the user information;
a fourth module 240, configured to obtain the air consumption of each target user after classification;
a fifth module 250, configured to obtain the classified air consumption curves of the target users;
a sixth module 260, configured to input the total gas consumption and the gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area;
a seventh module 270, configured to obtain monitoring data of each monitoring point in the preset area;
and an eighth module 280, configured to correct the gas pipe network model according to the pipe network simulation data and the monitoring data.
The content of the method embodiment of the invention is suitable for the system embodiment, the specific function of the system embodiment is the same as that of the method embodiment, and the achieved beneficial effects are the same as those of the method.
Referring to fig. 3, an embodiment of the present application provides a processing apparatus for gas pipe network simulation, including:
at least one memory 310 for storing a program;
at least one processor 320 for loading the program to perform a gas pipe network simulation processing method as described in fig. 1.
The content in the method embodiment is applicable to the embodiment of the device, and the functions specifically realized by the embodiment of the device are the same as those of the method embodiment, and the obtained beneficial effects are the same as those of the method embodiment.
The embodiment of the invention provides a storage medium, wherein a computer executable program is stored, and the computer executable program is used for realizing the processing method of the gas pipe network simulation shown in fig. 1 when being executed by a processor.
Embodiments of the present invention also provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device may read the computer instructions from the computer readable storage medium, and execute the computer instructions, so that the computer device performs a processing method of gas pipe network simulation shown in fig. 1.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of one of ordinary skill in the art without departing from the spirit of the present invention. Furthermore, embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Claims (10)
1. The processing method of the gas pipe network simulation is characterized by comprising the following steps:
constructing a gas pipe network model in a preset area;
acquiring user information of a target user in the preset area;
classifying the target users according to the user information;
acquiring the gas consumption of each target user after classification;
acquiring the classified gas utilization curves of the target users;
inputting the gas consumption and the gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area;
acquiring monitoring data of each monitoring point in the preset area;
and correcting the gas pipe network model according to the pipe network simulation data and the monitoring data.
2. The method for processing the gas pipe network simulation according to claim 1, wherein the classifying the target users according to the user information comprises:
classifying the target users according to the gas consumption requirements and the gas consumption acquisition modes in the user information; the gas consumption requirement comprises domestic gas and industrial gas, and the gas consumption acquisition mode comprises acquisition through a database connection Internet of things meter, acquisition through a database connection gas meter, acquisition through a database connection acquisition device and acquisition through a gas meter.
3. The method for processing the gas pipe network simulation according to claim 1, wherein the obtaining the gas consumption of each target user after classification comprises the following steps:
acquiring the time sequence data of the Internet of things table of resident users of the Internet of things table in the target users after classification;
determining daily gas consumption of resident users of the Internet of things table according to the time sequence data of the Internet of things table;
acquiring first gas meter data of other resident users in the target users after classification;
determining the daily gas consumption of the other resident users according to the first gas meter data;
acquiring the time sequence data of collectors corresponding to the large clients in the target users after classification;
determining a first hour gas consumption of the large customer according to the collector time sequence data of the large customer;
acquiring second gas meter data of other business users in the target users after classification;
and determining the daily gas consumption of the other industrial and commercial users according to the second gas meter data.
4. A gas pipe network simulation processing method according to claim 3, wherein after the step of obtaining the gas consumption of each target user after classification, the method further comprises the steps of:
calculating a first ratio of the number of users of the internet of things resident users to a first numerical value, wherein the first numerical value comprises the sum of the number of users of the internet of things resident users and the number of users of other resident users;
screening the air consumption corresponding to the resident users of the Internet of things table and the other resident users according to the first ratio;
calculating a second ratio of the number of users of the large clients to a second numerical value, wherein the second numerical value comprises the sum of the number of users of the large clients and the number of users of other business users;
and screening the air consumption corresponding to the large customer and the other business users according to the second ratio.
5. A method for processing a gas pipe network simulation according to claim 3, wherein the obtaining the classified gas curves for the target users comprises:
selecting a plurality of sampling points in the preset area;
acquiring a residential user gas consumption curve in the sampling point;
acquiring a total air supply quantity change curve, the hour air consumption of a resident user and the first hour air consumption;
calculating to obtain other industrial and commercial user gas consumption curves according to the total gas supply change curve, the residential user hour gas consumption and the first hour gas consumption;
and taking the residential user gas consumption curve and the other industrial and commercial user gas consumption curves as the target user gas consumption curve.
6. The method for processing a gas pipe network simulation according to claim 5, wherein after the step of obtaining the classified gas consumption curves of the respective target users, the method further comprises the steps of:
acquiring the peak-valley number and the peak-valley interval size of the residential air curve;
calculating a third ratio of the number of sampling points of the complete data transmission to a third value, wherein the third value is the sum of the number of sampling points of the complete data transmission and the total number of sampling points;
and screening the residential user air consumption curve according to the third ratio, the peak-valley number and the peak-valley interval size.
7. The method for processing a gas pipe network simulation according to claim 5, wherein the inputting the gas consumption and the gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area comprises:
calculating the air consumption of the second hour according to the air consumption of the resident users and the air consumption curve of the resident users in the Internet of things table;
calculating the air consumption of the third hour according to the air consumption of the other resident users and the air consumption curve of the resident users;
calculating the air consumption of the fourth hour according to the air consumption of the other industrial and commercial users and the air consumption curve of the other industrial and commercial users;
and inputting the first hour gas consumption, the second hour gas consumption, the third hour gas consumption, the fourth hour gas consumption and the target user gas consumption curve into the gas pipe network model to obtain pipe network simulation data in the preset area.
8. A gas pipe network simulation processing system, comprising:
the first module is used for constructing a gas pipe network model in a preset area;
the second module is used for acquiring the user information of the target user in the preset area;
a third module, configured to classify the target user according to the user information;
a fourth module, configured to obtain the air consumption of each target user after classification;
a fifth module, configured to obtain the classified air consumption curves of the target users;
a sixth module, configured to input the total gas consumption and the gas consumption curve into the gas pipe network model, to obtain pipe network simulation data in the preset area;
a seventh module, configured to obtain monitoring data of each monitoring point in the preset area;
and an eighth module, configured to correct the gas pipe network model according to the pipe network simulation data and the monitoring data.
9. The utility model provides a processing apparatus of gas pipe network simulation which characterized in that includes:
at least one memory for storing a program;
at least one processor for loading the program to perform a method of handling gas pipe network simulation according to any one of claims 1-7.
10. A storage medium having stored therein a computer executable program for implementing a method of processing a gas pipe network simulation as claimed in any one of claims 1 to 7 when executed by a processor.
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| CN202310121357.4A CN116186950A (en) | 2023-02-14 | 2023-02-14 | Processing method, system, device and storage medium for gas pipe network simulation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116717729A (en) * | 2023-08-09 | 2023-09-08 | 山东国研自动化有限公司 | Hierarchical control system and method for monitoring gas safety |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116717729A (en) * | 2023-08-09 | 2023-09-08 | 山东国研自动化有限公司 | Hierarchical control system and method for monitoring gas safety |
| CN116717729B (en) * | 2023-08-09 | 2023-10-20 | 山东国研自动化有限公司 | Hierarchical control system and method for monitoring gas safety |
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