CN113884135A - Gas delivery monitoring method, system and device - Google Patents

Gas delivery monitoring method, system and device Download PDF

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Publication number
CN113884135A
CN113884135A CN202111148614.0A CN202111148614A CN113884135A CN 113884135 A CN113884135 A CN 113884135A CN 202111148614 A CN202111148614 A CN 202111148614A CN 113884135 A CN113884135 A CN 113884135A
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pipeline
data
monitoring
monitoring data
real
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CN113884135B (en
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孔宪迪
邓帅
刘胜健
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Caoxian Donghe New Energy Co ltd
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Caoxian Donghe New Energy Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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Abstract

The invention provides a method, a system and a device for monitoring gas delivery, wherein the method comprises the steps of acquiring real-time monitoring data of a gas delivery pipeline, wherein the real-time monitoring data comprises pipeline temperature data, pipeline pressure data and pipeline flow data; and comparing the real-time monitoring data with a preset threshold, historical monitoring data and associated monitoring data respectively to obtain the safety level of the current monitoring point. According to the invention, the various sensors are arranged on the gas pipeline to acquire real-time monitoring data, the real-time monitoring data are respectively compared with the preset threshold, the historical monitoring data and the associated monitoring data to obtain the safety level of the current monitoring point, the closing of the corresponding valve is controlled based on the safety level, and the maintenance personnel is informed in time, so that the risk of the gas pipeline is controlled in time, and further loss is avoided.

Description

Gas delivery monitoring method, system and device
Technical Field
The invention relates to the technical field of gas pipeline maintenance, in particular to a gas conveying monitoring method, a gas conveying monitoring system and a gas conveying monitoring device.
Background
The coverage of gas pipelines such as coal gas, natural gas and the like is more and more extensive, and the gas has the characteristics of flammability and explosiveness, so the safety and the maintenance of the pipelines are highly emphasized.
At present, the operation and safety monitoring of fuel gas adopt the modes of manual line inspection and manual control. The underground pipeline monitoring method at home and abroad comprises an optical fiber leakage detection method, a negative pressure method, an infrasonic wave method, a radar method and the like, basically only has a monitoring method without a control means, is easy to be interfered and misreported, and is difficult to control an accident site in time. Even if the situation is detected, pipeline maintenance personnel are difficult to arrive at the site in the first time due to various influencing factors, and serious loss is easily caused.
Disclosure of Invention
The invention provides a gas delivery monitoring method, a gas delivery monitoring system and a gas delivery monitoring device, which are used for solving the problem of low timeliness of the existing gas pipeline control mode.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a gas delivery monitoring method in a first aspect, which comprises the following steps:
acquiring real-time monitoring data of a gas conveying pipeline, wherein the real-time monitoring data comprises pipeline temperature data, pipeline pressure data and pipeline flow data;
and comparing the real-time monitoring data with a preset threshold, historical monitoring data and associated monitoring data respectively to obtain the safety level of the current monitoring point.
Further, the method further comprises the steps of:
taking fault countermeasures based on the safety level, the fault countermeasures including closing a valve and/or notifying a service person.
Further, the valve is closed through a servo actuator.
Further, before acquiring real-time monitoring data of the gas transmission pipeline, the method further comprises:
setting an identity identification code for each gas conveying pipeline, and storing the identity identification code in a cloud and/or a monitoring platform; the identification code comprises a type code for representing the type of the pipeline, and the type of the pipeline comprises a main pipeline, branch pipelines and a home-entering pipeline.
Further, the method comprises the steps of:
configuring a character string for each gas conveying pipeline, adding the identification code into the character string, wherein the character string also comprises a preset threshold value of the current monitoring pipeline, a mean value and an extreme value of historical monitoring data, an alarm record and a feature code; the preset threshold values are respectively set based on the pipeline types, and the associated monitoring data are obtained through the feature codes.
Further, the obtaining of the security level of the current monitoring point specifically includes:
correspondingly classifying the real-time monitoring data according to the pipeline type;
comparing the classified real-time monitoring data with a preset threshold, and if the classified real-time monitoring data exceeds the preset threshold, respectively sending out a third-stage early warning, a second-stage early warning and a first-stage early warning according to the pipeline types of a main pipeline, a branch pipeline and a home-entering pipeline;
and comparing the current monitoring data exceeding the preset threshold with the extreme values of the historical monitoring data, and if the current monitoring data exceed the preset number of extreme values in the current scene, adding a first early warning feature on the basis of the early warning level obtained in the last step.
Further, the process of obtaining the security level of the current monitoring point further includes:
and when the current monitoring data exceeds a preset threshold value, screening out monitoring points with the same feature codes as the current monitoring data, acquiring the monitoring data of the monitoring points, comparing the difference values of the monitoring data, and if the difference values exceed the preset difference value threshold value, adding a second early warning feature on the basis of the obtained early warning level.
Further, the method further comprises an association early warning mechanism, specifically:
when the house-entering pipeline sends out an early warning prompt, the branch pipeline to which the house-entering pipeline belongs and other house-entering pipelines below the branch pipeline send out associated early warnings;
when the branch pipeline sends out the early warning prompt, the main pipeline of the branch pipeline and other branch pipelines below the main pipeline send out associated early warnings.
A second aspect of the invention provides a gas delivery monitoring system, the system comprising:
the system comprises an information acquisition unit, a data processing unit and a data processing unit, wherein the information acquisition unit is used for acquiring real-time monitoring data of a gas conveying pipeline, and the real-time monitoring data comprises pipeline temperature data, pipeline pressure data and pipeline flow data;
and the data analysis unit is used for comparing the real-time monitoring data with a preset threshold, historical monitoring data and associated monitoring data respectively to obtain the safety level of the current monitoring point.
The invention provides a gas conveying monitoring device, which comprises a monitoring management platform, a sensor and a database, wherein the sensor is used for collecting monitoring data of a gas conveying pipeline, sending the data to the monitoring management platform and storing the data in the database, the monitoring management platform is provided with the monitoring system, and the monitoring management platform processes the monitoring data and stores the processed data in the database.
The monitoring system according to the second aspect and the monitoring device according to the third aspect of the present invention are capable of implementing the methods according to the respective implementation manners of the first aspect and the first aspect, and achieve the same effects.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
1. according to the invention, the various sensors are arranged on the gas pipeline to acquire real-time monitoring data, the real-time monitoring data are respectively compared with the preset threshold, the historical monitoring data and the associated monitoring data to obtain the safety level of the current monitoring point, the closing of the corresponding valve is controlled based on the safety level, and the maintenance personnel is informed in time, so that the risk of the gas pipeline is controlled in time, and further loss is avoided.
2. For the closing of the valve, the servo actuator has small energy consumption and large torque, can realize long-distance and quick operation, adopts a 24V solar power supply as a driving energy source, and has the advantages of low voltage, safety, explosion prevention, compact structure, small volume and convenient installation.
3. In the analysis process of the safety level, when the current monitoring data exceeds a preset threshold value, the current monitoring data is further compared with historical data and associated monitoring data, the early warning level is finely processed, so that the overhaul personnel can know more careful conditions, and meanwhile, the attention degree of the relevant personnel to the early warning is improved.
4. A character string is configured for each gas conveying pipeline, and information such as a unique identification code, a preset threshold value, historical monitoring data, an alarm record and a feature code of the pipeline is recorded in the character string, so that the information can be traced and the data can be processed quickly.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a schematic flow diagram of an embodiment of the method of the present invention;
FIG. 2 is a schematic block diagram of an embodiment of the system of the present invention;
fig. 3 is a schematic structural diagram of an embodiment of the device of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
As shown in fig. 1, a gas delivery monitoring method provided in an embodiment of the present invention includes the following steps:
s1, acquiring real-time monitoring data of the gas transmission pipeline, wherein the real-time monitoring data comprise pipeline temperature data, pipeline pressure data and pipeline flow data;
s2, comparing the real-time monitoring data with a preset threshold, historical monitoring data and associated monitoring data respectively to obtain the safety level of the current monitoring point;
s3, taking fault countermeasures based on the safety level, wherein the fault countermeasures comprise closing a valve and/or informing a maintenance person.
One implementation manner of the embodiment of the invention is as follows: before acquiring real-time monitoring data of the gas transmission pipeline, the method further comprises the following steps:
configuring a character string for each gas conveying pipeline, wherein the character string comprises an identification code of the gas pipeline, a preset threshold value of the current monitoring pipeline, a mean value and an extreme value of historical monitoring data, an alarm record and a feature code; the preset threshold values are respectively set based on the pipeline types, and the associated monitoring data are obtained through the feature codes.
The identification code is stored in a cloud and/or a database of the monitoring platform; the identification code comprises a type code for representing the type of the pipeline, and the type of the pipeline comprises a main pipeline, branch pipelines and a home-entering pipeline.
The preset threshold is a characteristic value of different monitoring data, the monitoring data comprises various data such as pipeline temperature data, pipeline pressure data and pipeline flow data, if the monitoring data are compared one by one, time is wasted, and when different data types are different in comparison results, further analysis is needed, if the comparison result of the temperature data is abnormal, and the pressure and flow data are normal, a judgment result cannot be directly given, so that the monitoring data are subjected to weighted calculation to obtain a representative characteristic value, and the representative characteristic value is compared with the preset threshold obtained in the same calculation mode to quickly obtain the judgment result.
The feature code is obtained according to the type of the pipeline and analysis of historical data, and specifically comprises the following steps: and matching the same characteristic codes if the pipeline types are the same and the difference value of the historical data is within a preset range.
In step S1, a temperature sensor, a pressure sensor, and a flow sensor are respectively disposed at a monitoring point of the gas pipeline to obtain real-time monitoring data of the gas pipeline. Wherein, one or more monitoring points can be arranged on the same section of the gas pipeline according to the actual situation.
In step S2, one implementation manner of obtaining the security level of the current monitoring point is specifically as follows:
correspondingly classifying the real-time monitoring data according to the pipeline type;
comparing the classified real-time monitoring data with a preset threshold, and if the classified real-time monitoring data exceeds the preset threshold, respectively sending out a third-stage early warning, a second-stage early warning and a first-stage early warning according to the pipeline types of a main pipeline, a branch pipeline and a home-entering pipeline;
and comparing the current monitoring data exceeding the preset threshold with the extreme values of the historical monitoring data, and if the current monitoring data exceed the preset number of extreme values in the current scene, adding a first early warning feature on the basis of the early warning level obtained in the last step.
In step S2, another implementation manner of obtaining the security level of the current monitoring point is specifically:
and when the current monitoring data exceeds a preset threshold value, screening out monitoring points with the same feature codes as the current monitoring data, acquiring the monitoring data of the monitoring points, comparing the difference values of the monitoring data, and if the difference values exceed the preset difference value threshold value, adding a second early warning feature on the basis of the obtained early warning level.
In step S2, an association early warning mechanism is further included, specifically: when the house-entering pipeline sends out an early warning prompt, the branch pipeline to which the house-entering pipeline belongs and other house-entering pipelines below the branch pipeline send out associated early warnings; when the branch pipeline sends out the early warning prompt, the main pipeline of the branch pipeline and other branch pipelines below the main pipeline send out associated early warnings.
In step S3, the closing valve is realized by a servo actuator. The servo actuating mechanism has small energy consumption and large torque, and can realize remote and rapid operation; the driving energy source adopts a 24V solar power supply, and the low-voltage safety explosion-proof effect is realized; compact structure, small volume and convenient installation.
In step S3, when notifying the maintainer, the warning is reported to the monitoring platform at the same time, and the related information in the character string is modified. In the early warning notice received by the maintainer, the information can include character string information, so that the maintainer can conveniently know the early warning details.
In one implementation mode of the embodiment of the invention, the position information is added in the identification code of the gas pipeline, so that when the early warning notification occurs, a maintainer nearest to an early warning point can be notified firstly based on the position information.
As shown in fig. 2, an embodiment of the present invention further provides a gas delivery monitoring system, where the system includes an information obtaining unit 1, a data analyzing unit 2, and an early warning processing unit 3.
The information acquisition unit 1 is used for acquiring real-time monitoring data of the gas conveying pipeline, wherein the real-time monitoring data comprises pipeline temperature data, pipeline pressure data and pipeline flow data.
The data analysis unit 2 is configured to compare the real-time monitoring data with a preset threshold, historical monitoring data, and associated monitoring data, respectively, to obtain a security level of the current monitoring point.
The early warning processing unit 3 takes fault countermeasures including closing a valve and/or notifying a service man based on the safety level.
As shown in fig. 3, an embodiment of the present invention further provides a gas delivery monitoring apparatus, where the apparatus includes a monitoring management platform, a sensor and a database, the sensor is configured to collect monitoring data of a gas delivery pipeline, send the monitoring data to the monitoring management platform, and store the monitoring data in the database, the monitoring management platform is provided with the monitoring system, and the monitoring management platform processes the monitoring data and stores the processing data in the database.
In one implementation mode of the monitoring device, the monitoring device further comprises a cloud end connected with the monitoring management platform, and data are processed and stored by utilizing the cloud end, so that the data processing efficiency is improved.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (10)

1. A gas delivery monitoring method is characterized by comprising the following steps:
acquiring real-time monitoring data of a gas conveying pipeline, wherein the real-time monitoring data comprises pipeline temperature data, pipeline pressure data and pipeline flow data;
and comparing the real-time monitoring data with a preset threshold, historical monitoring data and associated monitoring data respectively to obtain the safety level of the current monitoring point.
2. The gas delivery monitoring method of claim 1, further comprising the steps of:
taking fault countermeasures based on the safety level, the fault countermeasures including closing a valve and/or notifying a service person.
3. The gas delivery monitoring method of claim 2, wherein the shut-off valve is implemented by a servo actuator.
4. The gas delivery monitoring method of claim 1, further comprising, prior to obtaining real-time monitoring data for the gas delivery conduit:
setting an identity identification code for each gas conveying pipeline, and storing the identity identification code in a cloud and/or a monitoring platform; the identification code comprises a type code for representing the type of the pipeline, and the type of the pipeline comprises a main pipeline, branch pipelines and a home-entering pipeline.
5. The gas delivery monitoring method of claim 4, further comprising the steps of:
configuring a character string for each gas conveying pipeline, adding the identification code into the character string, wherein the character string also comprises a preset threshold value of the current monitoring pipeline, a mean value and an extreme value of historical monitoring data, an alarm record and a feature code; the preset threshold values are respectively set based on the pipeline types, and the associated monitoring data are obtained through the feature codes.
6. The gas delivery monitoring method according to claim 5, wherein the obtaining of the security level of the current monitoring point is specifically:
correspondingly classifying the real-time monitoring data according to the pipeline type;
comparing the classified real-time monitoring data with a preset threshold, and if the classified real-time monitoring data exceeds the preset threshold, respectively sending out a third-stage early warning, a second-stage early warning and a first-stage early warning according to the pipeline types of a main pipeline, a branch pipeline and a home-entering pipeline;
and comparing the current monitoring data exceeding the preset threshold with the extreme values of the historical monitoring data, and if the current monitoring data exceed the preset number of extreme values in the current scene, adding a first early warning feature on the basis of the early warning level obtained in the last step.
7. The gas delivery monitoring method of claim 6, wherein the process of obtaining the safety level of the current monitoring point further comprises:
and when the current monitoring data exceeds a preset threshold value, screening out monitoring points with the same feature codes as the current monitoring data, acquiring the monitoring data of the monitoring points, comparing the difference values of the monitoring data, and if the difference values exceed the preset difference value threshold value, adding a second early warning feature on the basis of the obtained early warning level.
8. The gas delivery monitoring method according to any one of claims 4 to 7, wherein the method further comprises an association pre-warning mechanism, in particular:
when the house-entering pipeline sends out an early warning prompt, the branch pipeline to which the house-entering pipeline belongs and other house-entering pipelines below the branch pipeline send out associated early warnings;
when the branch pipeline sends out the early warning prompt, the main pipeline of the branch pipeline and other branch pipelines below the main pipeline send out associated early warnings.
9. A gas delivery monitoring system, the system comprising:
the system comprises an information acquisition unit, a data processing unit and a data processing unit, wherein the information acquisition unit is used for acquiring real-time monitoring data of a gas conveying pipeline, and the real-time monitoring data comprises pipeline temperature data, pipeline pressure data and pipeline flow data;
and the data analysis unit is used for comparing the real-time monitoring data with a preset threshold, historical monitoring data and associated monitoring data respectively to obtain the safety level of the current monitoring point.
10. A gas delivery monitoring device is characterized by comprising a monitoring management platform, a sensor and a database, wherein the sensor is used for collecting monitoring data of a gas delivery pipeline and sending the data to the monitoring management platform and storing the data in the database, the monitoring management platform is provided with the monitoring system according to claim 9, and the monitoring management platform processes the monitoring data and stores the processed data in the database.
CN202111148614.0A 2021-09-28 2021-09-28 Method, system and device for monitoring gas delivery Active CN113884135B (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2818842A1 (en) * 2013-06-26 2014-12-31 Co.L.Mar. S.R.L. Method and system of acoustic monitoring for the detection of leaks in underwater structures containing a fluid under pressure
US20160099963A1 (en) * 2008-10-21 2016-04-07 Lookout, Inc. Methods and systems for sharing risk responses between collections of mobile communications devices
CN107504946A (en) * 2017-08-24 2017-12-22 北京融通智慧科技有限公司 The Excavation Settlement real-time monitoring system and monitoring method of wisdom building site control platform
US10114814B1 (en) * 2015-09-28 2018-10-30 NarrativeDX, Inc. System and method for actionizing patient comments
CN112489402A (en) * 2020-11-27 2021-03-12 罗普特科技集团股份有限公司 Early warning method, device and system for pipe gallery and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160099963A1 (en) * 2008-10-21 2016-04-07 Lookout, Inc. Methods and systems for sharing risk responses between collections of mobile communications devices
EP2818842A1 (en) * 2013-06-26 2014-12-31 Co.L.Mar. S.R.L. Method and system of acoustic monitoring for the detection of leaks in underwater structures containing a fluid under pressure
US10114814B1 (en) * 2015-09-28 2018-10-30 NarrativeDX, Inc. System and method for actionizing patient comments
CN107504946A (en) * 2017-08-24 2017-12-22 北京融通智慧科技有限公司 The Excavation Settlement real-time monitoring system and monitoring method of wisdom building site control platform
CN112489402A (en) * 2020-11-27 2021-03-12 罗普特科技集团股份有限公司 Early warning method, device and system for pipe gallery and storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
翟曼玉;赵晓筠;李松伟;: "苏州燃气集团安全运营指挥系统设计与实现", 城市燃气, no. 10 *
蒋漳河;: "基于HSE与风险的城市燃气管道安全评估与管理", 中国公共安全(学术版), no. 01 *

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