CN111223258A - Sound wave monitoring and early warning system and method for monitoring third-party damage of gas pipeline - Google Patents
Sound wave monitoring and early warning system and method for monitoring third-party damage of gas pipeline Download PDFInfo
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- CN111223258A CN111223258A CN202010065682.XA CN202010065682A CN111223258A CN 111223258 A CN111223258 A CN 111223258A CN 202010065682 A CN202010065682 A CN 202010065682A CN 111223258 A CN111223258 A CN 111223258A
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/16—Actuation by interference with mechanical vibrations in air or other fluid
- G08B13/1654—Actuation by interference with mechanical vibrations in air or other fluid using passive vibration detection systems
- G08B13/1672—Actuation by interference with mechanical vibrations in air or other fluid using passive vibration detection systems using sonic detecting means, e.g. a microphone operating in the audio frequency range
Abstract
The invention discloses a sound wave monitoring and early warning system and method for monitoring third-party damage of a gas pipeline, wherein the system comprises the following steps: the system comprises a plurality of sound pickups, a server and a plurality of data processing units, wherein the sound pickups are used for collecting sound information around a gas pipeline, using the collected sound information as first audio data and uploading the first audio data to the server; the server is used for identifying the first audio data, generating alarm information after identifying that the first audio data has sound waves with set characteristics, and sending the alarm information to the first terminal; and the first terminal is used for displaying position information according to the alarm information, wherein the position information is first position information of a sound pickup which recognizes sound waves with set characteristics. The invention can enable the monitoring personnel to timely master the position information of the gas pipeline with damage threat, thereby timely performing preventive operation on the gas pipeline with damage threat and improving the working efficiency of the monitoring personnel. The invention can be widely applied to the technical field of monitoring.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a sound wave monitoring and early warning system and method for monitoring third-party damage of a gas pipeline.
Background
With the development of cities, underground electric power, water power, communication and gas pipelines are increasingly complex, the number of various construction projects is increased sharply, and the phenomenon that underground gas pipelines are damaged by third-party construction often occurs. The reason for this is that the third party construction in the range of part of the gas pipelines is not found in time. According to statistics, the third-party construction damage of large and medium-sized cities in China causes hundreds of accidents of gas pipeline leakage every year, and 1 accident happens every 3 days on average, so that the normal life of people is seriously influenced, and negative effects are brought to gas companies.
At present, aiming at the problem of the damage of a third party of an urban underground gas pipeline, the following methods are mainly used for early warning:
manual line patrol: the line patrol consumes a large amount of manpower and material resources, and has low efficiency and poor timeliness;
video monitoring and early warning technology: the video monitoring camera is additionally arranged in the residential area, but the purchase and installation costs of the video monitoring equipment are not low;
vibration optical fiber detection technology: through burying the sensor underground at underground pipe both ends, effective detection distance is about the diameter 100 meters scope, nevertheless need just can send alarm information when heavy machinery contacts with the gas pipeline, and the pipeline has suffered the third party destruction this moment, unable timely early warning.
In conclusion, the existing early warning method for third party damage of city underground gas pipelines mainly has the problems of low efficiency, high cost, incapability of timely early warning and the like.
Disclosure of Invention
To solve the above technical problems, the present invention aims to: the sound wave monitoring and early warning system and the sound wave monitoring and early warning method for monitoring the third-party damage of the gas pipeline can timely early warn, and are high in working efficiency and low in cost.
The first technical scheme adopted by the invention is as follows:
the utility model provides a monitoring gas pipeline third party's destruction sound wave monitoring early warning system which includes:
the system comprises a plurality of sound pickups, a server and a plurality of data processing units, wherein the sound pickups are used for collecting sound information around a gas pipeline, using the collected sound information as first audio data and uploading the first audio data to the server;
the server is used for identifying the first audio data, generating alarm information after identifying that the first audio data has sound waves with set characteristics, and sending the alarm information to the first terminal;
and the first terminal is used for displaying position information according to the alarm information, wherein the position information is first position information of a sound pickup which recognizes sound waves with set characteristics.
Further, the sound pickup is installed in the preset range around the gas pipeline.
Further, the sound pickup is further configured to set a critical value triggering uploading of the first audio data according to a setting signal of the critical value issued by the server, where the critical value includes a duration critical value, a volume critical value, and a frequency critical value.
Further, the uploading the first audio data to the server specifically includes:
calculating the sound wave duration, volume and frequency of the first audio data;
after the fact that the duration time of sound waves of first audio data is larger than a duration critical value is determined, the first audio data are uploaded to a server;
alternatively, the first and second electrodes may be,
after the volume of the first audio data is determined to be larger than a volume critical value, uploading the first audio data to a server;
alternatively, the first and second electrodes may be,
after the frequency of the first audio data is determined to be larger than the frequency critical value, the first audio data is uploaded to a server.
Further, be equipped with audio frequency identification module and alarm module in the server, discerning first audio data, after discerning that first audio data has the sound wave of setting for the characteristic, generating alarm information to send alarm information to first terminal, it specifically includes:
performing sound wave identification on first audio data uploaded by a sound pickup through an audio identification module after deep learning is performed according to second audio data, and generating an identification result after the first audio data is identified to have sound waves with set characteristics;
the method comprises the steps that alarm information is generated through an alarm module according to a recognition result and sent to a first terminal, the alarm information contains position information, and the position information is first position information of a sound pickup which recognizes sound waves with set characteristics.
Further, the server is also used for generating a detection signal according to the second position information of the sound pick-up, sending the detection signal to the sound pick-up and receiving response information fed back by the sound pick-up according to the detection signal.
Further, the server is respectively connected with the sound pickup and the first terminal through an NB-IOT network, a 4G mobile network or a fixed IP network.
The second technical scheme adopted by the invention is as follows:
a sound wave monitoring and early warning method for monitoring third-party damage of a gas pipeline comprises the following steps:
receiving first audio data uploaded by a sound pickup, wherein the first audio data is sound information around a gas pipeline;
identifying the first audio data, and generating alarm information after identifying that the first audio data has sound waves with set characteristics;
and sending the alarm information to a first terminal, and enabling the first terminal to display position information according to the alarm information, wherein the position information is first position information of a sound pickup which recognizes sound waves with set characteristics.
Further, before the step of receiving the first audio data uploaded by the microphone, the method further comprises the following steps:
generating a setting signal of a critical value of first audio data uploaded by a sound pick-up, wherein the critical value comprises a duration critical value, a volume critical value and a frequency critical value;
and sending the setting signal to the sound pick-up so that the sound pick-up sets a critical value for uploading the first audio data according to the setting signal.
Further, the identifying the first audio data specifically includes:
and identifying the first audio data through the audio identification module after deep learning is carried out according to the second audio data.
The invention has the beneficial effects that: according to the invention, sound information around the gas pipeline is collected by the sound pick-up to be used as first audio data, then the first audio data is identified by the server, alarm information is generated after the sound wave with set characteristics of the first audio data is identified, and finally the alarm information is displayed at the first terminal, so that monitoring personnel can prevent the gas pipeline nearby the sound pick-up to which the first audio data generating the alarm information belongs in time, thereby improving the working efficiency of the monitoring personnel.
Drawings
FIG. 1 is a block diagram of an acoustic monitoring and warning system for monitoring third party damage to a gas pipeline according to an embodiment of the present invention;
fig. 2 is a flowchart of an acoustic monitoring and warning method for monitoring third-party damage of a gas pipeline according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the specific embodiments. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
Referring to fig. 1, an embodiment of the present invention provides an acoustic monitoring and early warning system for monitoring third-party damage of a gas pipeline, including:
the system comprises a plurality of sound pickups, a server and a plurality of data processing units, wherein the sound pickups are used for collecting sound information around a gas pipeline, using the collected sound information as first audio data and uploading the first audio data to the server; the adapter is installed in the preset range around the gas pipeline. The preset range is determined according to the actual working condition, and can be within 10 meters of the installation position of the gas pipeline or between 10 meters and 50 meters.
The server is used for identifying the first audio data, generating alarm information after identifying that the first audio data has sound waves with set characteristics, and sending the alarm information to the first terminal; the recognition is completed by an audio recognition module, and the audio recognition module is loaded with a trained deep neural network. The setting feature is acoustic information having a damage threat to the gas pipe, for example, acoustic information generated during the operation of an excavator in road construction equipment, or acoustic information generated during the operation of a drilling machine.
And the first terminal is used for displaying position information according to the alarm information, wherein the position information is first position information of a sound pickup which recognizes sound waves with set characteristics. The first terminal is terminal equipment such as a mobile phone of a monitoring person, and can also be terminal equipment such as a mobile phone of a patrol person.
This embodiment passes through the adapter and gathers the sound information around the gas pipeline as first audio data, then discern first audio data through the server, after discerning that first audio data has the sound wave of setting for the characteristic, generate alarm information, show alarm information at first terminal at last, make the monitoring personnel can in time prevent the gas pipeline near the adapter that first audio data that produces alarm information belongs to, thereby improve monitoring personnel's work efficiency, and simultaneously, this scheme is lower for the cost of installation video monitoring equipment.
In a preferred embodiment, the sound pickup is installed within a predetermined range around the gas pipe. The sound pickup may be implemented by using a microphone having a data transmission function. The preset range is determined according to actual working requirements, if the time for the monitoring personnel to reach the monitored gas pipeline is long, the preset range is large, and if the time for the monitoring personnel to reach the monitored gas pipeline is short, the preset range is small, for example, the time for the monitoring personnel to reach the gas pipeline is 20 minutes, the preset range can be set to be centered on the gas pipeline, 50 meters to 100 meters around the gas pipeline, and sound pick-up devices can be set between 50 meters to 100 meters; the time of monitoring personnel gas pipeline is 5 minutes, then the preset range can be set to be around 20 meters-30 meters with the gas pipeline as the center, wherein, this embodiment can all set up the adapter within 20 meters-30 meters. Of course, the setting position of the sound pick-up is required to be determined according to the working safety distance of the gas pipeline. This embodiment is through setting up the adapter in the predetermined within range near the gas pipeline for the adapter can accurately monitor near the sound wave information of gas pipeline, can also monitor when the gas pipeline has the threat, makes the monitoring personnel can have enough time to arrive the scene and carry out human intervention.
As a preferred embodiment, the sound pickup is further configured to set a critical value triggering uploading of the first audio data according to a setting signal of the critical value issued by the server, where the critical value includes a duration critical value, a volume critical value, and a frequency critical value. The duration critical value, the volume critical value and the frequency critical value are set according to sound wave information threatening the gas pipeline in experimental data, and the sound wave information threatening the gas pipeline comprises working sound waves of excavating equipment or drilling equipment for road construction. This embodiment is through setting up the critical value of uploading first audio data on the adapter for the adapter need not all the time to the first audio data of server upload, only need when first audio data probably has the sound wave information that threatens gas pipeline safety, just uploads first audio data to the server, thereby need not to occupy the storage space of too much server, also can reduce the flow that the adapter consumed, has subdued communication cost greatly.
As a preferred embodiment, the uploading the first audio data to the server specifically includes:
calculating the sound wave duration, volume and frequency of the first audio data;
after the fact that the duration time of sound waves of first audio data is larger than a duration critical value is determined, the first audio data are uploaded to a server;
alternatively, the first and second electrodes may be,
after the volume of the first audio data is determined to be larger than a volume critical value, uploading the first audio data to a server;
alternatively, the first and second electrodes may be,
after the frequency of the first audio data is determined to be larger than the frequency critical value, the first audio data is uploaded to a server.
In this embodiment, the sound pickup may perform a first judgment on the first audio data, and mainly determine whether one of duration, volume, and frequency of the sound wave of the first audio data exceeds a threshold, and if so, directly upload the first audio data to the server, so that the server performs sound wave identification on the first audio data. Still there is audio frequency judgement module in the adapter, audio frequency judgement module still can carry out the degree of depth study to the sound wave information that threatens gas pipeline safety before using to ensure can foresee out the sound wave information that probably has destruction threat to gas pipeline in first audio data. In this embodiment, the duration, the volume and the frequency of the sound wave of the first audio data are all determined by determining the sound wave information that is identified in the first audio data and has a threat of damaging the gas pipeline. In the embodiment, the first audio data is uploaded to the server after one of the duration, the volume and the frequency of the sound wave of the first audio data exceeds the critical value, so that a communication channel does not need to be occupied between the sound pickup and the server for a long time, and an excessive storage space of the server does not need to be occupied.
As a preferred embodiment, as shown in fig. 1, an audio identification module and an alarm module are arranged in the server, and the identifying the first audio data, generating alarm information after identifying that the first audio data has a sound wave with a set characteristic, and sending the alarm information to the first terminal specifically includes:
performing sound wave identification on first audio data uploaded by a sound pickup through an audio identification module after deep learning is performed according to second audio data, and generating an identification result after the first audio data is identified to have sound waves with set characteristics; the second audio data is audio data extracted from actual audio information threatening the gas pipeline. The audio recognition module trains through a large amount of second audio data, and then performs actual recognition work, so that the accuracy of the audio recognition module in the actual recognition process can be improved.
The method comprises the steps that alarm information is generated through an alarm module according to a recognition result and sent to a first terminal, the alarm information contains position information, and the position information is first position information of a sound pickup which recognizes sound waves with set characteristics. The alarm module can match out the position information of the sound pickup corresponding to the sound wave threatening the safety of the gas pipeline from the database in the server according to the recognition result. Before sending the alarm information to the first terminal, a first terminal closest to the position information can be matched according to the position information in the alarm information, if a plurality of similar first terminals are matched, the alarm information is sent to the first terminal after one of the first terminals is randomly selected from the plurality of similar first terminals, and therefore monitoring personnel can timely reach the installation position of the gas pipeline with damage threats, and timely conduct preventive operation.
In a preferred embodiment, the server is further configured to generate a detection signal according to the second position information of the sound pickup, send the detection signal to the sound pickup, and receive response information fed back by the sound pickup according to the detection signal. The detection signal is used for detecting the working state of the sound pick-up and detecting the connection state of the sound pick-up and the server. The response information is a feedback signal made by the sound pick-up according to a detection signal sent by the server, so that the server determines the working state of the sound pick-up according to the response information and the connection state between the sound pick-up and the server, the first audio data collected by the sound pick-up can be timely uploaded to the server, meanwhile, the server can also timely perform sound wave recognition on the first audio data uploaded by the sound pick-up, and monitoring personnel can be ensured to perform preventive operation on a gas pipeline with threat.
As a preferred embodiment, as shown in fig. 1, the server is connected to the sound pickup and the first terminal through an NB-IOT network, a 4G mobile network, or a fixed IP network, respectively. The NB-IOT network is a narrowband Internet of things, is a branch of the Internet of things of everything, and can be directly deployed in a GSM network, a UMTS network or an LTE network. The server of the embodiment is in wireless connection with the sound pickup and the first terminal through an NB-IOT network, a 4G mobile network or a fixed IP network, so that normal communication between the server and the sound pickup and the first terminal is ensured, and the monitoring range of the server can be widened.
Referring to fig. 2, an embodiment of the present invention further provides an acoustic monitoring and early warning method for monitoring third-party damage to a gas pipeline, where the embodiment is applied to a server in the system embodiment, the server is wirelessly connected to a sound pickup and a first terminal through an NB-IOT network, a 4G mobile network, or a fixed IP network, the number of the sound pickup is one, the sound pickup is installed in a preset range around a location away from a location where the gas pipeline is installed, the number of the first terminal is at least one, and the first terminal is a terminal device such as a mobile phone of a monitoring person or a terminal device such as a mobile phone of a patrol person.
The present embodiment includes steps S201 to S203:
s201, receiving first audio data uploaded by a sound pickup, wherein the first audio data is sound information around a gas pipeline;
s202, identifying the first audio data, and generating alarm information after identifying that the first audio data has sound waves with set characteristics; the first audio data is identified, and whether sound wave information threatening the safety of the gas pipeline exists in the first audio data is mainly identified. The setting characteristic refers to sound wave information which has damage threat to the gas pipe, for example, sound wave information generated in the working process of an excavator in road construction equipment or sound wave information generated in the working process of a drilling machine.
S203, sending the alarm information to a first terminal, and enabling the first terminal to display position information according to the alarm information, wherein the position information is first position information of a sound pickup which recognizes sound waves with set characteristics. Embrace and carry the position information who has the adapter that the sound wave of dangerous gas pipeline safety corresponds in the alarm information. Before the alarm information is sent to the first terminal, the first terminal is matched, specifically, the first terminal closest to the position information of the sound pickup is matched from a plurality of first terminals.
This embodiment is through carrying out the discernment operation to the first audio data that the adapter was uploaded, after there is the sound wave that threatens gas pipeline safety in discerning first audio data, generates alarm information to send alarm information to first terminal, make the control personnel can in time carry out the prevention operation to the gas pipeline near the first audio data of production alarm information belongs to the adapter, thereby improve control personnel's work efficiency.
As a preferred embodiment, before the step of receiving the first audio data uploaded by the sound pickup, the method further includes the following steps:
generating a setting signal of a critical value of first audio data uploaded by a sound pick-up, wherein the critical value comprises a duration critical value, a volume critical value and a frequency critical value; the thresholds include a duration threshold, a volume threshold, and a frequency threshold.
And sending the setting signal to the sound pick-up so that the sound pick-up sets a critical value for uploading the first audio data according to the setting signal.
This embodiment is through setting up the critical value of uploading first audio data on the adapter for the adapter need not all the time to the server first audio data of uploading, only need when first audio data probably has the sound wave information that threatens gas pipeline safety, just uploads first audio data to the server, thereby need not to occupy too much server's storage space, saves the communication cost.
As a preferred embodiment, the identifying the first audio data specifically includes:
and identifying the first audio data through the audio identification module after deep learning is carried out according to the second audio data. The second audio data is audio data extracted from audio information that poses a threat to the gas pipeline within the actual operating audio. For example, audio information generated during operation by excavation equipment during road construction, or audio information generated during operation of a drilling rig. The audio recognition module performs actual recognition work after deep learning is performed according to the second audio data, so that the working efficiency and the recognition accuracy of the audio recognition module in the actual recognition process are improved.
In summary, the sound information around the gas pipeline is collected by the sound pickup to serve as the first audio data, the first audio data is identified by the server, the alarm information is generated after the sound wave with the set characteristic of the first audio data is identified, and finally the alarm information is displayed at the first terminal, so that the monitoring personnel can prevent the gas pipeline near the sound pickup to which the first audio data generating the alarm information belongs in time, the working efficiency of the monitoring personnel is improved, and meanwhile, the scheme is lower in cost compared with the installation of video monitoring equipment.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The utility model provides a monitoring gas pipeline third party sound wave monitoring early warning system that destroys which characterized in that: the method comprises the following steps:
the system comprises a plurality of sound pickups, a server and a plurality of data processing units, wherein the sound pickups are used for collecting sound information around a gas pipeline, using the collected sound information as first audio data and uploading the first audio data to the server;
the server is used for identifying the first audio data, generating alarm information after identifying that the first audio data has sound waves with set characteristics, and sending the alarm information to the first terminal;
and the first terminal is used for displaying position information according to the alarm information, wherein the position information is first position information of a sound pickup which recognizes sound waves with set characteristics.
2. The sound wave monitoring and early warning system for monitoring the third party damage of the gas pipeline as claimed in claim 1, wherein: the adapter is installed in the preset range around the gas pipeline.
3. The sound wave monitoring and early warning system for monitoring the third party damage of the gas pipeline as claimed in claim 1, wherein: the sound pick-up is also used for setting a critical value for triggering and uploading of the first audio data according to a setting signal of the critical value sent by the server, wherein the critical value comprises a duration critical value, a volume critical value and a frequency critical value.
4. The sound wave monitoring and early warning system for monitoring the third party damage of the gas pipeline as claimed in claim 3, wherein: the uploading of the first audio data to the server specifically includes:
calculating the sound wave duration, volume and frequency of the first audio data;
after the fact that the duration time of sound waves of first audio data is larger than a duration critical value is determined, the first audio data are uploaded to a server;
alternatively, the first and second electrodes may be,
after the volume of the first audio data is determined to be larger than a volume critical value, uploading the first audio data to a server;
alternatively, the first and second electrodes may be,
after the frequency of the first audio data is determined to be larger than the frequency critical value, the first audio data is uploaded to a server.
5. The sound wave monitoring and early warning system for monitoring the third party damage of the gas pipeline as claimed in claim 1, wherein: be equipped with audio frequency identification module and alarm module in the server, discerning first audio data, after discerning that first audio data has the sound wave of setting for the characteristic, generating alarm information to send alarm information to first terminal, it specifically includes:
performing sound wave identification on first audio data uploaded by a sound pickup through an audio identification module after deep learning is performed according to second audio data, and generating an identification result after the first audio data is identified to have sound waves with set characteristics;
the method comprises the steps that alarm information is generated through an alarm module according to a recognition result and sent to a first terminal, the alarm information contains position information, and the position information is first position information of a sound pickup which recognizes sound waves with set characteristics.
6. The sound wave monitoring and early warning system for monitoring the third party damage of the gas pipeline as claimed in claim 1, wherein: the server is also used for generating a detection signal according to the second position information of the sound pick-up, sending the detection signal to the sound pick-up and receiving response information fed back by the sound pick-up according to the detection signal.
7. The acoustic monitoring and early warning system for monitoring third party damage of a gas pipeline according to any one of claims 1 to 6, wherein: the server is respectively connected with the sound pickup and the first terminal through an NB-IOT network, a 4G mobile network or a fixed IP network.
8. The utility model provides a sound wave monitoring early warning method of monitoring gas pipeline third party destruction which characterized in that: the method comprises the following steps:
receiving first audio data uploaded by a sound pickup, wherein the first audio data is sound information around a gas pipeline;
identifying the first audio data, and generating alarm information after identifying that the first audio data has sound waves with set characteristics;
and sending the alarm information to a first terminal, and enabling the first terminal to display position information according to the alarm information, wherein the position information is first position information of a sound pickup which recognizes sound waves with set characteristics.
9. The sound wave monitoring and early warning method for monitoring the third party damage of the gas pipeline according to claim 8, characterized in that: before the step of receiving the first audio data uploaded by the sound pick-up, the method further comprises the following steps:
generating a setting signal of a critical value of first audio data uploaded by a sound pick-up, wherein the critical value comprises a duration critical value, a volume critical value and a frequency critical value;
and sending the setting signal to the sound pick-up so that the sound pick-up sets a critical value for uploading the first audio data according to the setting signal.
10. The sound wave monitoring and early warning method for monitoring the third party damage of the gas pipeline according to claim 8, characterized in that: the identifying of the first audio data specifically includes:
and identifying the first audio data through the audio identification module after deep learning is carried out according to the second audio data.
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| US11906112B2 (en) | 2022-12-19 | 2024-02-20 | Chengdu Qinchuan Iot Technology Co., Ltd | Methods for safety management of compressors in smart gas pipeline network and internet of things systems thereof |
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