CN116989272A - Intelligent monitoring system and method for natural gas pipeline - Google Patents
Intelligent monitoring system and method for natural gas pipeline Download PDFInfo
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- CN116989272A CN116989272A CN202310975843.2A CN202310975843A CN116989272A CN 116989272 A CN116989272 A CN 116989272A CN 202310975843 A CN202310975843 A CN 202310975843A CN 116989272 A CN116989272 A CN 116989272A
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- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 title claims abstract description 138
- 239000003345 natural gas Substances 0.000 title claims abstract description 69
- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000005540 biological transmission Effects 0.000 claims abstract description 45
- 238000012545 processing Methods 0.000 claims abstract description 6
- 239000013307 optical fiber Substances 0.000 claims description 24
- 238000004891 communication Methods 0.000 claims description 23
- 238000007781 pre-processing Methods 0.000 claims description 16
- 230000001105 regulatory effect Effects 0.000 claims description 13
- 238000009432 framing Methods 0.000 claims description 5
- 238000010276 construction Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 238000007689 inspection Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 239000000284 extract Substances 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
Abstract
The application belongs to the technical field of monitoring systems, and discloses an intelligent monitoring system and method for a natural gas pipeline, wherein the system comprises a front subsystem, a transmission network subsystem and a rear subsystem; the front subsystem is connected with the input end of the transmission network subsystem, and the output end of the transmission network subsystem is connected with the rear subsystem; the front subsystem is used for collecting pipeline information of the natural gas pipeline, and the transmission network subsystem is used for transmitting the pipeline information to the rear subsystem; the rear sub-system is used for counting and processing the occurrence frequency of objects around the natural gas pipeline according to pipeline information so as to conduct hierarchical control on different areas of the pipeline. The front sub-system of the system transmits the pipeline video and the pipeline audio to the rear sub-system through the transmission network subsystem, and the rear sub-system counts the frequency of people or machines nearby the natural gas pipeline according to the pipeline video and the pipeline audio so as to judge whether the people nearby the natural gas pipeline are under construction or the people damaging the natural gas pipeline exist.
Description
Technical Field
The application relates to the technical field of monitoring systems, in particular to an intelligent monitoring system and method for a natural gas pipeline.
Background
The safe operation of the natural gas transmission and distribution network is related to the life and property safety of residents along the line and the stable development of society. With the rapid development of urbanization, various construction activities are greatly increased, and the safety of the natural gas pipeline is threatened while great social and economic benefits are brought. How to effectively implement the monitoring and prevent illegal actions such as destroying natural gas pipeline facilities, and the like, becomes a difficult problem which must be solved by each pipeline operation enterprise.
The existing pipeline monitoring modes are divided into two types, one type is to check whether construction exists near the natural gas pipeline or whether workers are damaging the natural gas pipeline through manual inspection, and the pipeline monitoring modes have the problems of large manual inspection time span and time blind areas. The other type is to monitor the natural gas pipeline through a pipeline monitoring system, for example, CN104989953a discloses a multi-point monitoring system arranged along the natural gas pipeline, which comprises a plurality of sub-station systems and a network transmission module, wherein the sub-systems comprise a data acquisition module, a control module, a GPS module and a communication module, the data acquisition module sends the acquired pipeline data to the control module, the control module sends a control instruction to the communication module, and the communication module sends the pipeline data and/or the control instruction to the network transmission module, so as to monitor the natural gas pipeline. However, this prior art does not process the collected pipeline data, and cannot identify whether personnel are present near the natural gas pipeline, and cannot hierarchically manage different areas of the pipeline.
In summary, the existing pipeline monitoring mode has the problems that the manual inspection time span is large and the time blind area exists, or whether personnel exist near the natural gas pipeline or not can not be identified, and the different areas of the pipeline can not be managed and controlled in a grading manner.
Disclosure of Invention
The application aims at: the intelligent monitoring system and the intelligent monitoring method for the natural gas pipeline can solve the problems that an existing pipeline monitoring mode is large in manual inspection time span and has a time blind area, or whether personnel exist near the natural gas pipeline or not cannot be identified, and different areas of the pipeline cannot be controlled in a grading mode.
In order to achieve the above purpose, the application provides an intelligent monitoring system for a natural gas pipeline, which comprises a front subsystem, a transmission network subsystem and a rear subsystem; the front subsystem is connected with the input end of the transmission network subsystem, and the output end of the transmission network subsystem is connected with the rear subsystem; the front subsystem is used for collecting pipeline information of the natural gas pipeline, and the transmission network subsystem is used for transmitting the pipeline information to the rear subsystem; and the rear subsystem is used for counting and processing the occurrence frequency of the objects around the natural gas pipeline according to the pipeline information so as to conduct hierarchical control on different areas of the pipeline.
Preferably, the transmission network subsystem includes a VPN network, the front subsystem is connected to the VPN network, and the VPN network is connected to the rear subsystem.
Preferably, the front terminal system includes a first type wireless terminal, a 4G terminal, and a wired terminal, the first type wireless terminal being wirelessly connected to the wired terminal, the wired terminal being wired to an input terminal of the VPN network; the 4G end is connected to the input end of the VPN in a wireless mode, and the output end of the VPN is connected with the rear terminal system.
Preferably, the transmission network subsystem comprises a voltage regulating station and an optical fiber private network, the front subsystem comprises a second type wireless terminal, the second type wireless terminal is connected with the input end of the voltage regulating station, the output end of the voltage regulating station is connected with the input end of the optical fiber private network, and the output end of the optical fiber private network is connected with the rear subsystem.
Preferably, the front-end subsystem further comprises a front-end switch and a communication device, all the first type wireless terminals or all the second type wireless terminals are connected to an input terminal of the front-end switch, and an output terminal of the front-end switch is connected to the communication device.
Preferably, the front terminal system further comprises a power module and a lightning protection device, wherein the power module is connected with the front-end switch and the lightning protection device, and the lightning protection device is connected with the communication equipment.
Preferably, the back subsystem comprises an optical fiber converter, an access manager, a back-end switch, a disk array server, a video management server and an intelligent analysis server; the input end of the optical fiber converter is connected with the output end of the optical fiber private network, and the output end of the optical fiber converter is connected with the input end of the access manager; the output end of the access manager is connected with the input end of the back-end switch, and the output end of the back-end switch is connected with the disk array server, the video management server and the intelligent analysis server.
The application also provides an intelligent monitoring method of the natural gas pipeline, which is based on the intelligent monitoring system of the natural gas pipeline, and comprises the following steps:
the front subsystem collects pipeline video and pipeline audio;
the front subsystem sending the pipeline video and the pipeline audio to the transmission network subsystem;
the transmission network subsystem sends the pipeline video and the pipeline audio to the rear subsystem;
the rear subsystem performs target identification according to the pipeline video and the pipeline audio, and if a target exists, the occurrence frequency of the target is counted to obtain a target frequency;
and dividing the pipeline into areas according to the target frequency to obtain a plurality of pipeline areas.
Preferably, the post-subsystem performs object recognition according to the pipeline video and the pipeline audio, if an object exists, counts occurrence frequency of the object, and obtains an object frequency, including:
the video management server of the rear subsystem performs video preprocessing on the pipeline video to obtain a processed video; the video preprocessing comprises video denoising and video enhancement;
the video management server performs audio preprocessing on the pipeline audio to obtain processed audio; the audio preprocessing comprises pre-emphasis, framing and windowing;
the intelligent analysis server of the rear terminal system detects whether a face exists in the processed video, and if the face exists, target recognition is carried out on the processed video at intervals of a first preset time to obtain a video recognition result;
performing voice recognition on the processed audio to obtain a voice recognition result;
and counting the target frequency according to the video recognition result and the voice recognition result.
Preferably, the dividing the pipeline into areas according to the target frequency to obtain a plurality of pipeline areas includes:
if the target frequency is greater than or equal to a target frequency threshold, taking a video area corresponding to the target frequency as a first pipeline area;
and if the target frequency is smaller than the target frequency threshold, taking the video area corresponding to the target frequency as a second pipeline area.
The application relates to an intelligent monitoring system for a natural gas pipeline, which comprises a front terminal system, a transmission network subsystem and a rear terminal system; the front subsystem is connected with the input end of the transmission network subsystem, and the output end of the transmission network subsystem is connected with the rear subsystem; the front subsystem is used for collecting pipeline information of the natural gas pipeline, and the transmission network subsystem is used for transmitting the pipeline information to the rear subsystem; the rear sub-system is used for counting and processing the occurrence frequency of objects around the natural gas pipeline according to pipeline information so as to conduct hierarchical control on different areas of the pipeline. The front subsystem of the system collects pipeline video and pipeline audio of the natural gas pipeline and sends the pipeline video and the pipeline audio to the transmission network subsystem. The transmission network subsystem transmits the pipeline video and the pipeline audio to a rear subsystem, and the rear subsystem counts the frequency of people or machines nearby the natural gas pipeline according to the pipeline video and the pipeline audio so as to judge whether people damaging the natural gas pipeline are constructing or exist nearby the natural gas pipeline. In addition, through the system, the natural gas pipeline can be always monitored, and the problem of time blind areas of manual pipeline monitoring does not exist.
Drawings
FIG. 1 is a block diagram of a schematic architecture of an intelligent monitoring system for a natural gas pipeline in accordance with one embodiment;
fig. 2 is a schematic block diagram of the VPN network structure of an embodiment;
FIG. 3 is a block diagram of a head-end switch and communication device of an embodiment;
FIG. 4 is a block diagram of the rear subsystem of an embodiment;
fig. 5 is a schematic flow chart of an intelligent monitoring method for a natural gas pipeline according to an embodiment.
Wherein, 10, front subsystem; 101. a first type of wireless end; 102. a second type of wireless end; 103. a 4G end; 104. a wired end; 105. a front-end switch; 106. a communication device; 107. a power module; 108. a lightning arrester; 11. a transmission network subsystem; 111. a VPN network; 112. a voltage regulating station; 113. an optical fiber private network; 12. a rear subsystem; 121. an optical fiber converter; 122. an access manager; 123. a back-end switch; 124. a disk array server; 125. a video management server; 126. an intelligent analysis server; 127. a user terminal; 128. a disk array.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, modules, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any module and all combination of one or more of the associated listed items.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In one embodiment, referring to FIG. 1, there is a block schematic diagram of the disclosed intelligent monitoring system for a natural gas pipeline, the system comprising a front subsystem 10, a transport network subsystem 11, and a rear subsystem 12; the front subsystem 10 is connected to the input of the transmission network subsystem 11, and the output of the transmission network subsystem 11 is connected to the rear subsystem 12; the front subsystem 10 is used for collecting pipeline information of a natural gas pipeline, and the transmission network subsystem 11 is used for transmitting the pipeline information to the rear subsystem 12; the rear subsystem 12 is used for counting and processing the occurrence frequency of objects around the natural gas pipeline according to the pipeline information so as to conduct hierarchical control on different areas of the pipeline.
The transmission network subsystem 11 includes a VPN network (Virtual Private Network ) 111, the front subsystem 10 is connected to the VPN network 111, and the VPN network 111 is connected to the rear subsystem 12.
VPN network 111 is an extension of the internal network and is a secure private path in the wide area network through which the intranets of remote users and branches are connected to form an extended internal network. The VPN network 111 has the advantages of simple use, strong manageability and expandability, and capability of reducing network operation and maintenance costs.
Specifically, the VPN network 111 in this embodiment is an MPLS VPN network, which is an IP-VPN network 111 based on MPLS technology, and is an IP virtual private network implemented by applying MPLS technology to network routing and switching devices, simplifying a routing manner of a core router, and combining label switching with conventional routing technology, where the MPLS VPN network can be used to construct broadband intranets and extranets, so as to meet various flexible service demands.
Referring to fig. 2, the front sub-system 10 includes a first type wireless terminal 101, a 4G terminal 103, and a wired terminal 104, the first type wireless terminal 101 being wirelessly connected to the wired terminal 104, the wired terminal 104 being wired to an input of the VPN network 111; the 4G terminal 103 is wirelessly connected to an input terminal of the VPN network 111, and an output terminal of the VPN network 111 is connected to the rear sub-system 12.
The transmission network subsystem 11 comprises a voltage regulating station 112 and an optical private network 113, the front subsystem 10 comprises a second type wireless terminal 102, the second type wireless terminal 102 is connected with an input end of the voltage regulating station 112, an output end of the voltage regulating station 112 is connected with an input end of the optical private network 113, and an output end of the optical private network 113 is connected with the rear subsystem 12.
The first type wireless terminal 101, the 4G terminal 103, and the second type wireless terminal 102 are cameras that can collect video and sound, such as fisheye cameras. The first type wireless terminal 101, the 4G terminal 103, and the second type wireless terminal 102 each capture a different area of the pipeline, and the video captured by the different first type wireless terminal 101, 4G terminal 103, and second type wireless terminal 102 may have no overlapping area, or may have an overlapping area, which is not limited herein.
The first type wireless terminal 101 is connected to the wired terminal 104 through WIFI or wireless lan, and the data line of the wired terminal 104 is connected to the input terminal of the VPN network 111. The 4G terminal 103 is connected to the VPN network 111 through WIFI or a wireless lan, and the VPN network 111 is connected to the rear sub-system 12. The second type of wireless terminal 102 is connected to an input terminal of the voltage regulating station 112 through WIFI or wireless lan, an output terminal of the voltage regulating station 112 is connected to an input terminal of the optical fiber private network 113 through a data line, and an output terminal of the optical fiber private network 113 is connected to the rear subsystem 12. The VPN network 111 and the optical private network 113 transmit video and sound photographed by the first type wireless terminal 101, the 4G terminal 103, and the second type wireless terminal 102 to the rear sub-system 12.
The intelligent monitoring system for the natural gas pipeline comprises a front subsystem 10, a transmission network subsystem 11 and a rear subsystem 12; the front subsystem 10 is connected with the input end of the transmission network subsystem 11, and the output end of the transmission network subsystem 11 is connected with the rear subsystem 12; the front subsystem 10 is used for collecting pipeline information of the natural gas pipeline, and the transmission network subsystem 11 is used for transmitting the pipeline information to the rear subsystem 12; the rear subsystem 12 is used for counting and processing the occurrence frequency of objects around the natural gas pipeline according to pipeline information so as to conduct hierarchical control on different areas of the pipeline. The front sub-system 10 of the above system captures pipeline video and pipeline audio of the natural gas pipeline and transmits the pipeline video and pipeline audio to the transmission network subsystem 11. The transmission network subsystem 11 transmits the pipeline video and pipeline audio to the rear subsystem 12, and the rear subsystem 12 counts the frequency of occurrence of people or machines in the vicinity of the natural gas pipeline based on the pipeline video and pipeline audio to determine whether people who are constructing or damaging the natural gas pipeline are present in the vicinity of the natural gas pipeline. In addition, through the system, the natural gas pipeline can be always monitored, and the problem of time blind areas of manual pipeline monitoring does not exist.
In one embodiment, referring to fig. 3, the front end subsystem 10 further includes a front end switch 105 and a communication device 106, all of the first type of wireless terminals 101 or all of the second type of wireless terminals 102 are connected to an input of the front end switch 105, and an output of the front end switch 105 is connected to the communication device 106.
For example, a first type of wireless terminal 101 is connected to a first input of the front-end switch 105, a second type 101 is connected to a second input of the front-end switch 105, and a communication device 106 is wirelessly connected to the wired terminal 104.
The front end subsystem 10 further comprises a power module 107 and a lightning protection device 108, the power module 107 is connected to the front end switch 105 and the lightning protection device 108, and the lightning protection device 108 is connected to the communication device 106.
The power module 107 provides power to the front-end switch 105, and the power module 107 may be a DC/DC power source, i.e., a power source that converts a variable direct current voltage into a fixed direct current voltage, or an AC/DC power source, i.e., a power source that converts alternating current into direct current.
When a peak current or voltage is suddenly generated in the electrical circuit or the communication line due to external interference, the lightning protection device 108 can conduct and shunt in a very short time, so that damage of the surge to other devices in the line is avoided.
Further, the power module 107 is connected to the communication device 106 and each first type wireless terminal 101 through the lightning protection device 108, and the power module 107 supplies power to the communication device 106 and each first type wireless terminal 101; alternatively, the power module 107 is connected to the communication device 106 and each second type wireless terminal 102 through the lightning protection device 108, and the power module 107 supplies power to the communication device 106 and each second type wireless terminal 102.
As described above, the power module 107 supplies power to each first-type wireless terminal 101 or each second-type wireless terminal 102, and the power module 107 supplies power to the front-end switch 105 and the communication device 106. Each first type wireless terminal 101 or each second type wireless terminal 102 is connected to an input of a front-end switch 105, an output of the front-end switch 105 is connected to a communication device 106, and the communication device 106 is wirelessly connected to a wired terminal 104 or a voltage regulating station 112.
In one embodiment, referring to fig. 4, the back-end subsystem 12 includes a fiber optic switch 121, an access manager 122, a back-end switch 123, a disk array server 124, a video management server 125, and an intelligent analysis server 126; the input end of the optical fiber converter 121 is connected with the output end of the optical fiber private network 113, and the output end of the optical fiber converter 121 is connected with the input end of the access manager 122; an output end of the access manager 122 is connected to an input end of the backend switch 123, and an output end of the backend switch 123 is connected to the disk array server 124, the video management server 125, and the intelligent analysis server 126.
After the pipeline video and the pipeline audio pass through the optical fiber switch 121, the access manager 122, and the backend switch 123 in this order, the pipeline video and the pipeline audio are stored in the disk array server 124. The back-end switch 123 sends the pipeline video and the pipeline audio to the video management server 125 for video preprocessing and audio preprocessing, sends the processed video and the processed audio to the intelligent analysis server 126, counts the target frequency according to the processed video and the processed audio, and divides the area near the natural gas pipeline according to the target frequency to obtain different pipeline areas.
Further, the back-end switch 123 is connected to the client 127 and the disk array 128, and the back-end switch 123 sends the pipeline video and the pipeline audio to the disk array 128 for storage, and the back-end switch 123 receives an instruction from the client 127 and sends the pipeline video and the pipeline audio to one or more of the disk array 128 server 124, the video management server 125 and the intelligent analysis server 126 according to the instruction.
Further, the back-end switch 123 and the high-definition decoder and the tv wall, the back-end switch 123 sends the pipeline video and the pipeline audio to the high-definition decoder for video decoding and audio decoding, the high-definition decoder sends the decoded video and the decoded audio to the tv wall, and the tv wall plays the decoded video and the decoded audio.
As described above, the pipeline video and the pipeline audio are sent to the disk array server 124 for storage through the backend switch 123, and are sent to the video management server 125 for video preprocessing and audio preprocessing, and according to the processed video and the processed audio, the statistics of the target frequency is performed, and according to the target frequency, the regions near the natural gas pipeline are divided to obtain different pipeline regions, so that the hierarchical management of different regions near the natural gas pipeline is realized.
Referring to fig. 5, in one embodiment, a natural gas pipeline intelligent monitoring method is based on the above-described natural gas pipeline intelligent monitoring system, the method comprising:
s1: the front subsystem captures pipeline video and pipeline audio.
Pipeline video is video of different areas around a natural gas pipeline, which may include construction conditions and/or suspicious personnel, and pipeline audio may include construction noise and/or human voice.
S2: the front subsystem sends the pipeline video and the pipeline audio to the transport network subsystem.
The first type of wireless line terminal 101 wirelessly transmits the line video and the line audio to the wired terminal 104, and the wired terminal 104 transmits the line video and the line audio to the VPN network 111 through the data line. The 4G end 103 wirelessly transmits the pipeline video and the pipeline audio to the VPN network 111. The second type of wireless terminal 102 wirelessly transmits the pipeline video and pipeline audio to the voltage regulator station 112.
S3: the transmission network subsystem sends the pipeline video and the pipeline audio to the rear subsystem.
The optical private network 113 transmits the pipeline video and the pipeline audio to the optical fiber converter 121, the pipeline video and the pipeline audio are transmitted from the optical fiber converter 121, enter the back-end switch 123 through the access manager 122, and the back-end switch 123 receives an instruction transmitted by the user end 127 and transmits the pipeline video and the pipeline audio to one or more of the disk array 128, the disk array 128 server 124, the video management server 125 and the intelligent analysis server 126 according to the instruction.
VPN network 111 sends the pipeline video and pipeline audio of either 4G-side 103 or wired side 104 to back-end switch 123, which back-end switch 123 sends the pipeline video and pipeline audio to one or more of disk array 128, disk array 128 server 124, video management server 125, and intelligent analytics server 126 according to the instructions issued by customer side 127.
S4: and the rear subsystem performs target identification according to the pipeline video and the pipeline audio, and if a target exists, the occurrence frequency of the target is counted to obtain a target frequency.
Step S4 includes the following steps S41-S45:
s41: the video management server of the rear subsystem performs video preprocessing on the pipeline video to obtain a processed video; the video preprocessing includes video denoising and video enhancement.
Optionally, performing video denoising on the pipeline video through Gaussian filtering to obtain a denoised video; and sharpening the denoised video to obtain a processed video.
S42: the video management server performs audio preprocessing on the pipeline audio to obtain processed audio; the audio preprocessing includes pre-emphasis, framing, and windowing.
And pre-emphasis is carried out on the pipeline audio through a first-order high-pass filter, so that pre-emphasis audio is obtained. The pre-emphasis keeps the low frequency portion of the pipeline audio unchanged and boosts the high frequency portion of the pipeline audio. Pre-emphasis may boost the energy of the high frequency portion of the pipeline audio to compensate for the attenuation caused by the channel to the high frequency portion of the pipeline audio.
And framing the pre-emphasis audio according to the time period or the sampling frequency to obtain framed audio. The framing process can structure the pre-emphasis audio.
The framed audio is multiplied by a window function to obtain processed audio. The windowing process can make the overall situation of the framed audio more continuous, avoid the Gibbs effect, and can also convert the framed audio which is not periodic originally into periodic processed audio.
S43: and the intelligent analysis server of the rear terminal system detects whether a face exists in the processed video, and if the face exists, target recognition is carried out on the processed video at intervals of a first preset time to obtain a video recognition result.
The intelligent analysis server 126 may use a face recognition model based on a neural network to detect whether a face exists in the processed video, and if the face exists, the face in the processed video is extracted every a first preset time, for example, 2 seconds, and the face is matched with all faces in a face database, so as to obtain a corresponding first identity.
S44: and carrying out voice recognition on the processed audio to obtain a voice recognition result.
The intelligent analysis server 126 extracts the voice in the processed audio using the neural network-based voice recognition model and matches the voice with all voices in the voice database to obtain a corresponding second identity.
S45: and counting the target frequency according to the video recognition result and the voice recognition result.
If the first identity is matched with the second identity, namely the video recognition result is the same as the voice recognition result, counting the occurrence frequency of people in the pipeline video to obtain the target frequency. For example, if the video recognition result is that the person appearing in the area near the natural gas pipeline is a small piece, and the audio recognition result is that the sound of the small piece, detecting whether the small piece appears in the pipeline video every second preset time, and counting the occurrence frequency of the small piece in the pipeline video to obtain the target frequency of 10.
S5: and dividing the pipeline into areas according to the target frequency to obtain a plurality of pipeline areas.
If the target frequency is greater than or equal to a target frequency threshold, taking a video area corresponding to the target frequency as a first pipeline area;
and if the target frequency is smaller than the target frequency threshold, taking the video area corresponding to the target frequency as a second pipeline area.
As an example, the target frequency threshold is set to 5, and if the target frequency is 10, the video area corresponding to the target frequency is used as the first pipeline area; and if the target frequency is 4, taking the video area corresponding to the target frequency as a second pipeline area. The first pipeline region is controlled at a high level and the second pipeline region is controlled at a low level.
As described above, the intelligent monitoring method for natural gas pipelines includes the front subsystem 10 capturing pipeline video and pipeline audio. The front subsystem 10 sends the pipeline video and the pipeline audio to the transmission network subsystem 11, and the transmission network subsystem 11 sends the pipeline video and the pipeline audio to the rear subsystem 12. The rear subsystem 12 performs object recognition according to the pipeline video and the pipeline audio, and if an object exists, counts the occurrence frequency of the object to obtain an object frequency. And dividing the pipeline into areas according to the target frequency to obtain a plurality of pipeline areas. The method comprises the steps of identifying the face of a pipeline video, determining a first identity, identifying the voice of a pipeline audio, and determining a second identity, and if the first identity is the same as the second identity, counting target frequency. The video area is divided into a first pipeline area or a second pipeline area according to the target frequency, so that hierarchical control over different pipeline areas near the natural gas pipeline is realized.
It should also be noted that in this document relational terms such as first and second are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or 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" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. The intelligent monitoring system for the natural gas pipeline is characterized by comprising a front terminal system, a transmission network subsystem and a rear terminal system; the front subsystem is connected with the input end of the transmission network subsystem, and the output end of the transmission network subsystem is connected with the rear subsystem; the front subsystem is used for collecting pipeline information of the natural gas pipeline, and the transmission network subsystem is used for transmitting the pipeline information to the rear subsystem; and the rear subsystem is used for counting and processing the occurrence frequency of the objects around the natural gas pipeline according to the pipeline information so as to conduct hierarchical control on different areas of the pipeline.
2. The intelligent monitoring system of a natural gas pipeline according to claim 1, wherein the transmission network subsystem comprises a VPN network, the front subsystem being connected to the VPN network, the VPN network being connected to the rear subsystem.
3. The intelligent monitoring system of a natural gas pipeline according to claim 2, wherein the front sub-system comprises a first type wireless end, a 4G end, and a wired end, the first type wireless end being wirelessly connected to the wired end, the wired end being wired to an input of the VPN network; the 4G end is connected to the input end of the VPN in a wireless mode, and the output end of the VPN is connected with the rear terminal system.
4. A natural gas pipeline intelligent monitoring system according to claim 3, wherein the transmission network subsystem comprises a voltage regulating station and an optical fiber private network, the front subsystem comprises a second type of wireless terminal, the second type of wireless terminal is connected with an input end of the voltage regulating station, an output end of the voltage regulating station is connected with an input end of the optical fiber private network, and an output end of the optical fiber private network is connected with the rear subsystem.
5. The intelligent monitoring system of a natural gas pipeline as defined in claim 4, wherein the front end subsystem further comprises a front end switch and a communication device, all of the first type of wireless terminals or all of the second type of wireless terminals being connected to an input of the front end switch, an output of the front end switch being connected to the communication device.
6. The intelligent monitoring system of a natural gas pipeline according to claim 5, wherein the front end subsystem further comprises a power module and a lightning protection device, the power module being connected to the front end switch and the lightning protection device, the lightning protection device being connected to the communication device.
7. The intelligent monitoring system of a natural gas pipeline according to claim 4, wherein the back-end subsystem comprises an optical fiber converter, an access manager, a back-end switch, a disk array server, a video management server, and an intelligent analysis server; the input end of the optical fiber converter is connected with the output end of the optical fiber private network, and the output end of the optical fiber converter is connected with the input end of the access manager; the output end of the access manager is connected with the input end of the back-end switch, and the output end of the back-end switch is connected with the disk array server, the video management server and the intelligent analysis server.
8. A method for intelligent monitoring of a natural gas pipeline, characterized in that it is based on the intelligent monitoring system of a natural gas pipeline according to any one of claims 1 to 7, the method comprising:
the front subsystem collects pipeline video and pipeline audio;
the front subsystem sending the pipeline video and the pipeline audio to the transmission network subsystem;
the transmission network subsystem sends the pipeline video and the pipeline audio to the rear subsystem;
the rear subsystem performs target identification according to the pipeline video and the pipeline audio, and if a target exists, the occurrence frequency of the target is counted to obtain a target frequency;
and dividing the pipeline into areas according to the target frequency to obtain a plurality of pipeline areas.
9. The intelligent monitoring method of a natural gas pipeline according to claim 8, wherein the post-subsystem performs target recognition according to the pipeline video and the pipeline audio, counts occurrence frequencies of targets if the targets exist, and obtains target frequencies, including:
the video management server of the rear subsystem performs video preprocessing on the pipeline video to obtain a processed video; the video preprocessing comprises video denoising and video enhancement;
the video management server performs audio preprocessing on the pipeline audio to obtain processed audio; the audio preprocessing comprises pre-emphasis, framing and windowing;
the intelligent analysis server of the rear terminal system detects whether a face exists in the processed video, and if the face exists, target recognition is carried out on the processed video at intervals of a first preset time to obtain a video recognition result;
performing voice recognition on the processed audio to obtain a voice recognition result;
and counting the target frequency according to the video recognition result and the voice recognition result.
10. The intelligent monitoring method of a natural gas pipeline according to claim 8, wherein the dividing the pipeline into a plurality of pipeline areas according to the target frequency comprises:
if the target frequency is greater than or equal to a target frequency threshold, taking a video area corresponding to the target frequency as a first pipeline area;
and if the target frequency is smaller than the target frequency threshold, taking the video area corresponding to the target frequency as a second pipeline area.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101753992A (en) * | 2008-12-17 | 2010-06-23 | 深圳市先进智能技术研究所 | Multi-mode intelligent monitoring system and method |
| CN102289222A (en) * | 2011-05-09 | 2011-12-21 | 天津科电石化科技发展有限公司 | Intelligent internet of things safety precaution early warning system for monitoring long oil conveying pipeline |
| CN202160239U (en) * | 2011-05-05 | 2012-03-07 | 北京广纬兴业科技有限公司 | Wireless video transmission monitoring system based on long term evolution (LTE) technology |
| CN106408833A (en) * | 2016-11-02 | 2017-02-15 | 北京弘恒科技有限公司 | Perimeter intrusion detection method and system |
| CN206932333U (en) * | 2017-08-24 | 2018-01-26 | 北京融通智慧科技有限公司 | Power grid visualization intelligent monitoring administration plateform system |
| CN110070241A (en) * | 2018-01-23 | 2019-07-30 | 中国石油化工股份有限公司 | The high consequence area management system of oil-gas pipeline and method |
| CN110375207A (en) * | 2019-07-09 | 2019-10-25 | 安徽理工大学 | A kind of buried fuel gas pipeline leakage artificial intelligence detection system |
| CN111022940A (en) * | 2019-12-18 | 2020-04-17 | 中海石油气电集团有限责任公司 | Natural gas pipeline detection system and method |
| CN212565339U (en) * | 2020-04-16 | 2021-02-19 | 中石化石油工程技术服务有限公司 | Natural gas long distance pipeline safety precaution system |
| CN214205708U (en) * | 2020-11-30 | 2021-09-14 | 深圳中维世纪科技有限公司 | Intelligent algorithm-based robot camera system |
| CN113887910A (en) * | 2021-09-25 | 2022-01-04 | 诸暨市天然气有限公司 | Natural gas safety inspection method and system and electronic equipment |
| CN114331114A (en) * | 2021-12-28 | 2022-04-12 | 国家石油天然气管网集团有限公司 | Intelligent supervision method and system for pipeline safety risks |
| CN115314675A (en) * | 2022-07-01 | 2022-11-08 | 宁海县雁苍山电力建设有限公司 | High-level monitoring management system and method for power area |
-
2023
- 2023-08-03 CN CN202310975843.2A patent/CN116989272A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101753992A (en) * | 2008-12-17 | 2010-06-23 | 深圳市先进智能技术研究所 | Multi-mode intelligent monitoring system and method |
| CN202160239U (en) * | 2011-05-05 | 2012-03-07 | 北京广纬兴业科技有限公司 | Wireless video transmission monitoring system based on long term evolution (LTE) technology |
| CN102289222A (en) * | 2011-05-09 | 2011-12-21 | 天津科电石化科技发展有限公司 | Intelligent internet of things safety precaution early warning system for monitoring long oil conveying pipeline |
| CN106408833A (en) * | 2016-11-02 | 2017-02-15 | 北京弘恒科技有限公司 | Perimeter intrusion detection method and system |
| CN206932333U (en) * | 2017-08-24 | 2018-01-26 | 北京融通智慧科技有限公司 | Power grid visualization intelligent monitoring administration plateform system |
| CN110070241A (en) * | 2018-01-23 | 2019-07-30 | 中国石油化工股份有限公司 | The high consequence area management system of oil-gas pipeline and method |
| CN110375207A (en) * | 2019-07-09 | 2019-10-25 | 安徽理工大学 | A kind of buried fuel gas pipeline leakage artificial intelligence detection system |
| CN111022940A (en) * | 2019-12-18 | 2020-04-17 | 中海石油气电集团有限责任公司 | Natural gas pipeline detection system and method |
| CN212565339U (en) * | 2020-04-16 | 2021-02-19 | 中石化石油工程技术服务有限公司 | Natural gas long distance pipeline safety precaution system |
| CN214205708U (en) * | 2020-11-30 | 2021-09-14 | 深圳中维世纪科技有限公司 | Intelligent algorithm-based robot camera system |
| CN113887910A (en) * | 2021-09-25 | 2022-01-04 | 诸暨市天然气有限公司 | Natural gas safety inspection method and system and electronic equipment |
| CN114331114A (en) * | 2021-12-28 | 2022-04-12 | 国家石油天然气管网集团有限公司 | Intelligent supervision method and system for pipeline safety risks |
| CN115314675A (en) * | 2022-07-01 | 2022-11-08 | 宁海县雁苍山电力建设有限公司 | High-level monitoring management system and method for power area |
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