CN111271608A - Leakage management system and method for compressed air system - Google Patents
Leakage management system and method for compressed air system Download PDFInfo
- Publication number
- CN111271608A CN111271608A CN202010148910.XA CN202010148910A CN111271608A CN 111271608 A CN111271608 A CN 111271608A CN 202010148910 A CN202010148910 A CN 202010148910A CN 111271608 A CN111271608 A CN 111271608A
- Authority
- CN
- China
- Prior art keywords
- data
- leakage point
- leakage
- air pipeline
- point information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/005—Protection or supervision of installations of gas pipelines, e.g. alarm
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The embodiment of the invention relates to a system and a method for managing leakage of a compressed air system, wherein the method is applied to a device, and the device comprises the following steps: the data acquisition device is used for carrying out data acquisition to the air pipeline, acquire air pipeline data, wherein, air pipeline data includes pressure data and flow data, data processing device is used for storing pressure data and flow data, and confirm first leak point information based on pressure data and flow data, leak point positioner is used for confirming leak point position data based on first leak point information, leak point detection device is arranged in detecting the leak point in the air pipeline based on leak point position data, confirm second leak point information, data processing device still is used for storing second leak point information, and control the report based on second leak point information generation leak point. Further, the embodiment of the invention greatly meets the requirements of industrial energy conservation, consumption reduction and fine management.
Description
Technical Field
The embodiment of the invention relates to the technical field of leakage management systems, in particular to a leakage management system and method for a compressed air system.
Background
Along with the rapid development of scientific technology, in the aspect of present industrial enterprise compressed air use, most are in many first application states, demand and unstable, pipe network and terminal gas appliances are too complicated in compressed air system, because the wearing and tearing and ageing of different degrees can appear in pipeline and terminal gas appliances of enterprise in the long-term development process for the compressed air supply leaks, production end and gas supply end branch belong to different departments and manage, lead to industrial enterprise to administer the problem that the leakage point power consumption is too big, do not have overall management.
Therefore, a series of problems caused by leakage of compressed air supply can be solved only by adding an air compressor, and great energy and labor waste is caused, so that a compressed air system leakage management system is urgently needed to perform fine management on leakage points.
Disclosure of Invention
At least one embodiment of the invention provides a compressed air system leakage management system and method, and the system and method meet the requirements of energy conservation, consumption reduction and fine management of industrial enterprises.
In a first aspect, an embodiment of the present invention provides a compressed air system leakage management system, including:
the data acquisition device is used for acquiring data of the air pipeline and acquiring air pipeline data, and the air pipeline data comprises pressure data and flow data;
the data processing device is used for storing the pressure data and the flow data and determining first leakage point information based on the pressure data and the flow data;
a leak point positioning device for determining leak point position data based on the first leak point information;
the leakage point detection device is used for detecting leakage points in the air pipeline based on the leakage point position data and determining second leakage point information;
and the data processing device is also used for storing the second leakage point information and generating a leakage point treatment report based on the second leakage point information.
In some embodiments, the data acquisition device comprises:
and the gas flow transmitter is used for acquiring flow data and pressure data of the air pipeline in real time.
In some embodiments, the leak location device determines the location data of the leak by accurately locating the leak by a coordinate location method based on the first leak information.
In some embodiments, the leak detection apparatus comprises:
the ultrasonic leak detector is used for detecting leakage points in the air pipeline.
In some embodiments, a data processing apparatus comprises:
the data analysis device is used for analyzing the air pipeline data to determine first leakage point information and analyzing the second leakage point information to generate a leakage point treatment report;
a storage device: the leakage point management system is used for storing pressure data, flow data, second leakage point information, first leakage point information and leakage point management reports.
In some embodiments, the data processing apparatus further comprises:
and the predicting device is used for predicting the air pipeline leakage point based on at least one of the pressure data, the flow data, the second leakage point information, the first leakage point information and the leakage point treatment report stored in the storage device.
And the leakage point tracking device is used for recording the data of the leakage point treatment process.
In some embodiments, the system further comprises:
the data transmission device is used for acquiring data of the air pipeline by the data acquisition device, and uploading the acquired pressure data and flow data to the data processing device and the cloud storage server;
the leakage point detection device is further used for detecting leakage points in the air pipeline based on the leakage point position data, and the determined second leakage point information is uploaded to the data processing device and the cloud storage server.
In a second aspect, an embodiment of the present invention further provides a compressed air system leakage management method, where the method includes:
acquiring data of an air pipeline, and acquiring air pipeline data, wherein the air pipeline data comprises pressure data and flow data;
determining first leak point information based on the air pipeline data;
determining leakage point position data based on the first leakage point information;
detecting all leakage points of the air pipeline based on the leakage point position data, and determining second leakage point information;
generating a leak remediation report based on the second leak information.
The embodiment of the invention relates to a leakage management system and a method of a compressed air system, which are characterized in that a data acquisition device is used for acquiring pressure data and flow data of an air pipeline, a data processing device is used for determining first leakage point information according to the pressure data and the flow data, a leakage point positioning device is used for determining leakage point position data according to the first leakage point information, a leakage point detection device is used for detecting leakage points in the air pipeline according to the leakage point position data, second leakage point information is determined, and finally a leakage point treatment report is generated according to the second leakage point information by the data processing device. According to the embodiment of the invention, the leakage point in the air pipeline is positioned, the leakage point information is analyzed and then the treatment is carried out, so that the industrial energy conservation and consumption reduction are greatly realized, and the fine management is realized by predicting and tracking the leakage point in the air pipeline.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a schematic diagram of a compressed air system leakage management system according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention;
fig. 3 is a flowchart of a compressed air system leakage management method according to an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described in detail with reference to the accompanying drawings and examples. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be 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.
In the embodiment of the invention, the first leakage point information is determined according to the collected air pipeline data, so that the position data of the leakage point can be determined, then the leakage point in the air pipeline is detected according to the position data of the leakage point, the second leakage point information is determined, finally, a leakage point treatment report is generated according to the second leakage point information, and the communication connection with a supplier is kept, so that the supplier automatically generates a material list required for treating the leakage point of the air pipeline, a series of problems that the leakage treatment is not successful, the leakage amount is not clear, the treatment is not timely and the like are solved, and the fine management of a compressed air system is realized.
As shown in fig. 1, a schematic structural diagram of a compressed air system leakage management system according to an embodiment of the present invention includes the following devices: the system comprises a data acquisition device 101, a data processing device 102, a leakage point positioning device 103 and a leakage point detection device 104;
the above-mentioned device still includes: a data transmission device;
the data acquisition device 101 is used for acquiring data of an air pipeline and acquiring air pipeline data, wherein the air pipeline data comprises pressure data and flow data;
the data processing device 102 is configured to store the pressure data and the flow data, and determine first leakage point information based on the pressure data and the flow data;
the leakage point positioning device 103 is configured to determine leakage point position data based on the first leakage point information;
the leakage point detection device 104 is configured to detect a leakage point in the air pipeline based on the leakage point position data, and determine second leakage point information;
the data processing device 102 is further configured to store the second leakage point information, and generate a leakage point treatment report based on the second leakage point information;
the data transmission device is used for acquiring data of the air pipeline by the data acquisition device, and uploading the acquired pressure data and the acquired flow data to the data processing device and the cloud storage server;
the leakage point detection device is also used for detecting leakage points in the air pipeline based on the leakage point position data, and the determined second leakage point information is uploaded to the data processing device and the cloud storage server
Specifically, the data acquisition device 101 is connected to the data processing device, and is to perform data acquisition on the air duct, acquire the data of the air duct, and then include the acquired air duct data: and transmitting the pressure data and the flow data to the data processing device and the cloud storage server through the data transmission device, wherein the cloud storage server is used for storing the acquired air pipeline data.
In some embodiments, taking a factory as an example, the data acquisition device 101 may employ a gas flow transmitter to perform real-time acquisition of flow and pressure data on the factory air compression station outlet main pipe and each production line branch pipe, and upload the data to the cloud storage server.
Specifically, the data processing device 102 receives and stores the pressure data and the flow data transmitted by the data acquisition device, and determines first leakage point information according to the pressure data and the flow data.
In some embodiments, as shown in fig. 2, the data processing device includes a data analysis device 201 and a storage device 202, wherein the storage device 202 is used for storing the pressure data and the flow data transmitted by the data acquisition device to form a history, and the data analysis device 201 is used for performing data analysis on the pressure data and the flow data acquired by the data acquisition device in real time, analyzing the flow data and the pressure data through specific modeling, determining first leakage point information, classifying the first leakage point information in a grading manner, and preliminarily calculating the leakage amount generated by each leakage point and the corresponding energy consumption amount.
Specifically, the leakage point positioning device 103 is connected to the data processing device 102, and determines an accurate position of a leakage point after receiving the first leakage point information determined by the data processing device, so as to form leakage point position data.
In some embodiments, taking a factory as an example, after receiving the first leakage point information, the leakage point positioning device 103 precisely positions all leakage points in the factory air compression station outlet main pipe and each production line branch pipe by a coordinate positioning method, determines a precise position of each leakage point, forms leakage point position data, and transmits the leakage point position data to the leakage point detection device 104.
Specifically, the leak detection device 104 receives the leak position data determined by the leak positioning device, detects a leak in the air pipe, and generates second leak information.
In some embodiments, taking a factory as an example, the leakage point detecting device 104 includes an ultrasonic leakage detector, detects all leakage points in the outlet main pipe and each production line branch pipe of the factory air compression station according to the leakage point position data determined by the leakage point positioning device, generates second leakage information according to the detection result, and uploads the second leakage information to the data processing device 102 and the cloud storage server, and meanwhile, uploads the field leakage point information to the data processing device 102 and the cloud storage server can also be achieved through man-machine cooperation, and then the data analyzing device in the data processing device 102 analyzes the second leakage point information and generates a leakage point treatment report according to the analysis result, which may include a leakage energy consumption report, a leakage point information report, a material report, a leakage treatment work arrangement report, a leakage treatment result report, The method comprises the following steps of future leakage amount prediction report, overall report, treatment plan report, leakage point state report, material demand list, leakage treatment income report and the like.
As shown in fig. 2, the data processing device also includes a prediction device 203 and a leakage point tracking device 204, and will classify and grade the second leakage point information according to classification, calculate the leakage amount and the corresponding energy waste amount generated by each leakage point, compare the actual leakage amount, the actual energy waste amount and the change of the actual flow data, predict the leakage amount, the energy waste amount and the change of the flow data with time change in the future by using the prediction device 203 through specific modeling, and predict the air pipeline leakage point according to at least one of the pressure data, the flow data, the second leakage point information, the first leakage point information and the leakage point treatment report, and predict the time of the next leakage point treatment; the leak tracking device 204 records data generated during the treatment of the leak.
In some embodiments, the data processing device 102 may establish a connection with the supplier and send the generated material report in the leakage point treatment report to the supplier, so that the supplier can automatically generate a material list required for treating the leakage point of the air pipeline.
Furthermore, the embodiment of the invention solves a series of problems that leakage treatment is not performed from the beginning, the leakage amount is not clear, the treatment is not timely and the like, and realizes the fine management of the compressed air system.
Fig. 3 is a flowchart of a compressed air system leakage management method according to an embodiment of the present invention, where the method includes:
step 301: acquiring data of an air pipeline to acquire air pipeline data, wherein the air pipeline data comprises pressure data and flow data;
step 302: determining first leak point information based on the air pipeline data;
step 303: determining leakage point position data based on the first leakage point information;
step 304: detecting all leakage points of the air pipeline based on the leakage point position data, and determining second leakage point information;
step 305: generating a leak remediation report based on the second leak information.
In some embodiments, taking a factory as an example, preferentially performing step 301, acquiring pressure data and flow data of an air pipeline in an outlet main pipe of an air pressure station of the factory and each production line branch pipeline, then performing step 302, determining first leakage point information based on the acquired pressure data and flow data, next performing step 303, accurately positioning the position of a leakage point by a coordinate positioning method based on the first leakage point information, obtaining leakage point position data, then performing step 304, detecting the leakage point in the air pipeline based on the leakage point position data, obtaining second leakage point information, and finally generating a leakage point treatment report based on the second leakage point information.
The apparatus disclosed in the above embodiments can implement the processes of the methods disclosed in the above method embodiments, and in order to avoid repetition, the details are not described here again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments instead of others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (8)
1. A compressed air system leak management system, comprising: the leakage detection device comprises a data acquisition device, a data processing device, a leakage positioning device and a leakage detection device;
the data acquisition device is used for acquiring data of the air pipeline and acquiring air pipeline data, wherein the air pipeline data comprises pressure data and flow data;
the data processing device is used for storing the pressure data and the flow data and determining first leakage point information based on the pressure data and the flow data;
the leakage point positioning device is used for determining leakage point position data based on the first leakage point information;
the leakage point detection device is used for detecting leakage points in the air pipeline based on the leakage point position data and determining second leakage point information;
and the data processing device is also used for storing the second leakage point information and generating a leakage point treatment report based on the second leakage point information.
2. The system of claim 1, wherein the data acquisition device comprises:
and the gas flow transmitter is used for acquiring flow data and pressure data of the air pipeline in real time.
3. The system of claim 1, wherein the leak location device determines the leak location data by accurately locating the leak using a coordinate location method based on the first leak information.
4. The system of claim 1, wherein the leak detection device comprises:
the ultrasonic leak detector is used for detecting leakage points in the air pipeline.
5. The system of claim 1, wherein the data processing device comprises:
the data analysis device is used for analyzing the air pipeline data to determine first leakage point information and analyzing the second leakage point information to generate a leakage point treatment report;
a storage device for storing the pressure data, the flow data, the second leakage point information, the first leakage point information, and the leakage point treatment report.
6. The system of claim 1, wherein the data processing device further comprises:
and the predicting device is used for predicting the air pipeline leakage point based on at least one of the pressure data, the flow data, the second leakage point information, the first leakage point information and the leakage point treatment report stored by the storage device.
And the leakage point tracking device is used for recording the data of the leakage point treatment process.
7. The system of claim 1, further comprising:
the data transmission device is used for acquiring data of the air pipeline by the data acquisition device and uploading the acquired pressure data and the acquired flow data to the data processing device and the cloud storage server;
and the leakage point detection device is also used for detecting leakage points in the air pipeline based on the leakage point position data, and the determined second leakage point information is uploaded to the data processing device and the cloud storage server.
8. A compressed air system leak management method, the method comprising:
acquiring data of an air pipeline to acquire air pipeline data, wherein the air pipeline data comprises pressure data and flow data;
determining first leak point information based on the air pipeline data;
determining leakage point position data based on the first leakage point information;
detecting all leakage points of the air pipeline based on the leakage point position data, and determining second leakage point information;
generating a leak remediation report based on the second leak information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010148910.XA CN111271608A (en) | 2020-03-05 | 2020-03-05 | Leakage management system and method for compressed air system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010148910.XA CN111271608A (en) | 2020-03-05 | 2020-03-05 | Leakage management system and method for compressed air system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111271608A true CN111271608A (en) | 2020-06-12 |
Family
ID=70997582
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010148910.XA Pending CN111271608A (en) | 2020-03-05 | 2020-03-05 | Leakage management system and method for compressed air system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111271608A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113987227A (en) * | 2021-09-17 | 2022-01-28 | 上海燃气有限公司 | Method and device for calculating gas leakage interference range and electronic equipment |
Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1151300A (en) * | 1997-07-30 | 1999-02-26 | Toshiba Corp | Leakage monitoring device |
| CN101625071A (en) * | 2009-08-07 | 2010-01-13 | 天津大学 | Method for measuring and locating leakage of gas pipelines |
| CN101761780A (en) * | 2010-01-11 | 2010-06-30 | 中国石油大学(华东) | Gas pipeline leakage detecting and positioning device and method thereof |
| CN101968162A (en) * | 2010-09-30 | 2011-02-09 | 东北大学 | Pipeline leakage positioning system and method based on collaborative detection with negative pressure wave and sound wave |
| CN102563362A (en) * | 2011-12-31 | 2012-07-11 | 杭州哲达科技股份有限公司 | Compressed air system and intelligent pipe network leakage detecting method for same |
| CN102606890A (en) * | 2012-04-25 | 2012-07-25 | 哈尔滨工业大学 | Device and method for quantifying and positioning loss of water feeding pipeline by applying transient excitation |
| CN203783863U (en) * | 2014-04-11 | 2014-08-20 | 广东养宝生物制药有限公司 | Air compressor with leakage-proof alarm |
| CN204062504U (en) * | 2014-08-04 | 2014-12-31 | 青岛厚科信息工程有限公司 | Pipeline leakage testing device |
| CN204477697U (en) * | 2015-03-23 | 2015-07-15 | 徐方 | A kind of petroleum gas gas transmission monitoring device |
| CN105042339A (en) * | 2015-06-03 | 2015-11-11 | 中国石化销售有限公司华东分公司 | Leakage rate estimation system and method for product oil pipelines based on zero dimension |
| CN105716803A (en) * | 2016-01-29 | 2016-06-29 | 深圳市捷先数码科技股份有限公司 | Integrated analysis device for leakage monitoring of water supply pipe network and method of analysis device |
| CN105927863A (en) * | 2016-05-07 | 2016-09-07 | 大连理工大学 | DMA zone pipe network leakage online detecting and positioning system and detecting and positioning method thereof |
| CN106015950A (en) * | 2016-06-28 | 2016-10-12 | 梁森 | Novel pipeline leakage monitoring device |
| CN106224781A (en) * | 2016-07-26 | 2016-12-14 | 江苏师范大学 | A kind of fluid pipe network leakage monitoring system |
| CN206459023U (en) * | 2016-11-28 | 2017-09-01 | 北京中昌天盛科技有限公司 | The monitoring device and system of aqueduct |
| CN108571658A (en) * | 2018-08-01 | 2018-09-25 | 无锡麦道电子科技有限公司 | Gas piping ultrasonic leak detector |
| CN109340583A (en) * | 2018-11-23 | 2019-02-15 | 北京京能未来燃气热电有限公司 | Heating network leakage monitoring system and method |
| CN109373200A (en) * | 2018-10-26 | 2019-02-22 | 南京鑫联交通设备有限公司 | Compressed air line leak detection system based on comprehensive parameters analysis |
| CN109737309A (en) * | 2019-01-09 | 2019-05-10 | 慧感(上海)物联网科技有限公司 | A kind of risk source based on risk identification leaks source tracing method and its system surely |
| CN109995819A (en) * | 2017-12-30 | 2019-07-09 | 上海可鲁系统软件有限公司 | A kind of water supply network leak detection system based on industry internet |
| CN110345392A (en) * | 2019-07-16 | 2019-10-18 | 辽宁石油化工大学 | The localization method and device of oil pipeline leak source |
-
2020
- 2020-03-05 CN CN202010148910.XA patent/CN111271608A/en active Pending
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1151300A (en) * | 1997-07-30 | 1999-02-26 | Toshiba Corp | Leakage monitoring device |
| CN101625071A (en) * | 2009-08-07 | 2010-01-13 | 天津大学 | Method for measuring and locating leakage of gas pipelines |
| CN101761780A (en) * | 2010-01-11 | 2010-06-30 | 中国石油大学(华东) | Gas pipeline leakage detecting and positioning device and method thereof |
| CN101968162A (en) * | 2010-09-30 | 2011-02-09 | 东北大学 | Pipeline leakage positioning system and method based on collaborative detection with negative pressure wave and sound wave |
| CN102563362A (en) * | 2011-12-31 | 2012-07-11 | 杭州哲达科技股份有限公司 | Compressed air system and intelligent pipe network leakage detecting method for same |
| CN102606890A (en) * | 2012-04-25 | 2012-07-25 | 哈尔滨工业大学 | Device and method for quantifying and positioning loss of water feeding pipeline by applying transient excitation |
| CN203783863U (en) * | 2014-04-11 | 2014-08-20 | 广东养宝生物制药有限公司 | Air compressor with leakage-proof alarm |
| CN204062504U (en) * | 2014-08-04 | 2014-12-31 | 青岛厚科信息工程有限公司 | Pipeline leakage testing device |
| CN204477697U (en) * | 2015-03-23 | 2015-07-15 | 徐方 | A kind of petroleum gas gas transmission monitoring device |
| CN105042339A (en) * | 2015-06-03 | 2015-11-11 | 中国石化销售有限公司华东分公司 | Leakage rate estimation system and method for product oil pipelines based on zero dimension |
| CN105716803A (en) * | 2016-01-29 | 2016-06-29 | 深圳市捷先数码科技股份有限公司 | Integrated analysis device for leakage monitoring of water supply pipe network and method of analysis device |
| CN105927863A (en) * | 2016-05-07 | 2016-09-07 | 大连理工大学 | DMA zone pipe network leakage online detecting and positioning system and detecting and positioning method thereof |
| CN106015950A (en) * | 2016-06-28 | 2016-10-12 | 梁森 | Novel pipeline leakage monitoring device |
| CN106224781A (en) * | 2016-07-26 | 2016-12-14 | 江苏师范大学 | A kind of fluid pipe network leakage monitoring system |
| CN206459023U (en) * | 2016-11-28 | 2017-09-01 | 北京中昌天盛科技有限公司 | The monitoring device and system of aqueduct |
| CN109995819A (en) * | 2017-12-30 | 2019-07-09 | 上海可鲁系统软件有限公司 | A kind of water supply network leak detection system based on industry internet |
| CN108571658A (en) * | 2018-08-01 | 2018-09-25 | 无锡麦道电子科技有限公司 | Gas piping ultrasonic leak detector |
| CN109373200A (en) * | 2018-10-26 | 2019-02-22 | 南京鑫联交通设备有限公司 | Compressed air line leak detection system based on comprehensive parameters analysis |
| CN109340583A (en) * | 2018-11-23 | 2019-02-15 | 北京京能未来燃气热电有限公司 | Heating network leakage monitoring system and method |
| CN109737309A (en) * | 2019-01-09 | 2019-05-10 | 慧感(上海)物联网科技有限公司 | A kind of risk source based on risk identification leaks source tracing method and its system surely |
| CN110345392A (en) * | 2019-07-16 | 2019-10-18 | 辽宁石油化工大学 | The localization method and device of oil pipeline leak source |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113987227A (en) * | 2021-09-17 | 2022-01-28 | 上海燃气有限公司 | Method and device for calculating gas leakage interference range and electronic equipment |
| CN113987227B (en) * | 2021-09-17 | 2023-03-14 | 上海燃气有限公司 | Method and device for calculating gas leakage interference range and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dann et al. | Stochastic corrosion growth modeling for pipelines using mass inspection data | |
| US20230221207A1 (en) | Methods and internet of things systems for determining gas leakages based on smart gas | |
| US11842301B1 (en) | Methods for monitoring distributed energy storage safety and internet of things systems thereof | |
| CN116539128B (en) | Intelligent fuel gas ultrasonic metering instrument accuracy diagnosis method and Internet of things system | |
| CN101408769A (en) | On-line energy forecasting system and method based on product ARIMA model | |
| US20230221208A1 (en) | Systems and methods for detecting and predicting a leak in a pipe system | |
| CN111783785A (en) | Water meter identification system and method | |
| CN111950577A (en) | Point inspection method and device | |
| CN116910674A (en) | Water management monitoring method, device, equipment and medium based on data fusion inspection | |
| CN117055502A (en) | Intelligent control system based on Internet of things and big data analysis | |
| CN114673246A (en) | Anti-blocking measurement method and measurement system for sewage pipeline | |
| CN111271608A (en) | Leakage management system and method for compressed air system | |
| CN117436846B (en) | Equipment predictive maintenance method and system based on neural network | |
| CN113486950A (en) | Intelligent pipe network water leakage detection method and system | |
| CN112418548A (en) | Intelligent workshop management method and system based on artificial intelligence technology | |
| CN109740766B (en) | Industrial equipment maintenance service planning method | |
| CN116663904A (en) | Intelligent target supervision system and method based on data analysis | |
| CN114399113A (en) | Natural gas pipe network management method and system | |
| CN116048865B (en) | Automatic verification method for failure elimination verification under automatic operation and maintenance | |
| US20240037424A1 (en) | Methods and internet of things (iot) systems for managing operation progresses of smart gas pipeline networks | |
| CN116957343B (en) | Natural gas transportation safety risk analysis method and system | |
| CN116993232B (en) | Energy consumption management optimization method and system for comprehensive energy station | |
| CN115936450B (en) | Loss diagnosis method and system for pipeline of steam heating system | |
| CN116451885B (en) | Water supply network health degree prediction method and device and computing equipment | |
| Snatkin et al. | Production monitoring system concept development |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200612 |
|
| RJ01 | Rejection of invention patent application after publication |