CN113531399A - Pipeline monitoring method, pipeline monitoring device, computer equipment and storage medium - Google Patents
Pipeline monitoring method, pipeline monitoring device, computer equipment and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000012544 monitoring process Methods 0.000 title claims abstract description 31
- 238000012806 monitoring device Methods 0.000 title claims abstract description 11
- 238000009412 basement excavation Methods 0.000 claims description 22
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- 230000003287 optical effect Effects 0.000 claims description 17
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- 238000010276 construction Methods 0.000 abstract description 7
- 239000013307 optical fiber Substances 0.000 abstract description 5
- 206010000117 Abnormal behaviour Diseases 0.000 abstract description 4
- 230000006399 behavior Effects 0.000 abstract description 4
- 230000005540 biological transmission Effects 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 7
- 239000003921 oil Substances 0.000 description 4
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
- G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/14—Systems for determining distance or velocity not using reflection or reradiation using ultrasonic, sonic, or infrasonic waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/18—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
- G01S5/22—Position of source determined by co-ordinating a plurality of position lines defined by path-difference measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/288—Event detection in seismic signals, e.g. microseismics
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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Abstract
The application discloses a pipeline monitoring method, a pipeline monitoring device, computer equipment and a storage medium, and belongs to the technical field of energy transmission. The space track information and the energy information of the vibration source are estimated through the data sensed by the optical fiber vibration sensors arranged along the pipeline, so that more accurate behavior identification is carried out on dangerous events such as third-party construction, and then alarm is carried out based on abnormal behaviors, the condition that a large number of false alarms are easily generated due to the fact that the dangerous events are classified by experience is avoided, the alarm accuracy is greatly improved, and the application level of pipeline safety monitoring is improved.
Description
Technical Field
The present application relates to the field of energy transmission technologies, and in particular, to a pipeline monitoring method, a pipeline monitoring device, a computer device, and a storage medium.
Background
The pipeline is used as a main means for conveying crude oil and finished oil, has been built and operated on a large scale, is dense in population along the pipeline and fragile in ecological environment, and can influence energy supply once an accident occurs, so that the pipeline safety is an important component of public safety. Due to the huge benefit of the petroleum industry, lawless persons can arbitrarily destroy, perforate and steal oil in oil and gas pipelines under the drive of the benefit, the safe operation of in-service pipelines is greatly threatened, huge direct and indirect economic losses are caused, serious environmental pollution and casualties are brought seriously, and therefore real-time monitoring needs to be carried out along the pipelines to improve the safety of pipeline transmission.
In order to monitor the pipeline line in real time and discover the construction of a third party in time, the conventional oil pipeline is provided with an accompanying optical cable, the accompanying optical cable can be transformed into a sensing optical cable by utilizing the optical fiber vibration sensing characteristic of the accompanying optical cable, a large number of vibration sensing points are virtualized along the line so as to receive vibration signals from soil bodies around the pipeline, and whether dangerous vibration sources exist around the pipeline or not is judged by detecting the change of the signals.
However, the data provided by the sensing optical cable usually only has one-dimensional light intensity time sequence data sensed by a single vibration sensing point, wherein the available characteristics mainly include frequency, amplitude and energy information of a vibration signal, and only the object type of the vibration source can be identified through the characteristics, so that the identification accuracy is low, and false alarm and the like are easily caused.
Disclosure of Invention
The embodiment of the application provides a pipeline monitoring method, a pipeline monitoring device, a computer device and a storage medium, which can improve the alarm accuracy and improve the application level of pipeline safety monitoring. The technical scheme is as follows:
in one aspect, a method for monitoring a pipeline is provided, the method comprising:
acquiring sensing data of a sensing optical cable of a target pipeline;
acquiring a trajectory waterfall diagram of the target pipeline according to the sensing data, wherein the trajectory waterfall diagram represents spatial trajectory information of a plurality of vibration sources, and the spatial trajectory information comprises axial distances and radial distances between the plurality of vibration sources and the target pipeline;
acquiring an energy waterfall graph of the target pipeline according to the sensing data, wherein the energy waterfall graph represents light intensity and vibration energy information of a plurality of vibration sources;
according to the track waterfall diagram and the energy waterfall diagram of the target pipeline, a plurality of vibration sources are identified to obtain a plurality of vibration events along the target pipeline;
triggering an alarm event based on a plurality of vibration events along the target pipeline.
In one possible implementation manner, the identifying a plurality of vibration sources according to the trajectory waterfall graph and the energy waterfall graph of the target pipeline to obtain a plurality of vibration events along the target pipeline includes:
respectively converting the trajectory waterfall graph and the energy waterfall graph of the target pipeline into feature matrixes, and inputting the feature matrixes obtained through conversion into an event recognition model, wherein the event recognition model is obtained through training based on the space trajectory information, the light intensity and vibration energy information and the marked event type of a historical vibration source;
outputting the plurality of vibration events through the event recognition model.
In one possible implementation, the triggering an alarm event based on a plurality of vibration events along the target pipeline includes:
acquiring geographic information and seasonal information of event occurrence places of the plurality of vibration events;
obtaining the vibration event type according with the geographic information and the season information;
filtering out events from the plurality of vibration events that conform to the vibration event type, triggering an alarm event based on the remaining vibration events.
In one possible implementation, the triggering an alarm event based on a plurality of vibration events along the target pipeline includes:
and triggering alarm events of different levels according to at least one of the radial distance and the moving speed of each vibration event on the target pipeline, wherein the alarm events of different levels correspond to monitoring forces of different intensities.
In one possible implementation, the triggering different levels of alarm events based on at least one of a radial distance and a moving speed of each of the vibration events on the target pipe includes:
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a first numerical range, triggering a checking type alarm event, wherein the checking type alarm event is used for prompting a user to check whether excavation activities occur on site;
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a second numerical range, triggering an attention type alarm event, wherein the attention type alarm event is used for prompting a user to pay attention to and report the mechanical excavation activity; wherein a lower limit value of the second range of values is greater than a lower limit value of the second range of values;
and when the moving speed of any vibration event is greater than a second threshold value, triggering an alarm event to be decided, wherein the alarm event to be decided is used for prompting a user to determine whether to continue processing according to the radial distance.
In one possible implementation, the method further includes:
displaying each vibration event triggering an alarm event in a list display mode, and correspondingly displaying the spatial track information of each vibration event.
In one possible implementation manner, the obtaining a waterfall graph of a trajectory of the target pipeline according to the sensing data includes:
for sensing data of three adjacent sensing points on the target pipeline, determining arrival time difference and distance difference of a vibration source transmitted to the three adjacent sensing points based on phase differences among the sensing data of the three adjacent sensing points and estimated sound velocity of a soil body, and acquiring a radial distance and an axial distance between the vibration source and the target pipeline based on the arrival time difference and the distance difference;
and displaying the spatial track information of the plurality of vibration sources by taking the axial distance as a horizontal axis and taking the radial distance as a vertical axis.
In one aspect, a pipeline monitoring device is provided, the device comprising:
the acquisition module is used for acquiring sensing data of a sensing optical cable of a target pipeline;
the trajectory waterfall graph acquiring module is used for acquiring a trajectory waterfall graph of the target pipeline according to the sensing data, wherein the trajectory waterfall graph represents spatial trajectory information of a plurality of vibration sources, and the spatial trajectory information comprises axial distances and radial distances between the plurality of vibration sources and the target pipeline;
the energy waterfall graph acquisition module is used for acquiring an energy waterfall graph of the target pipeline according to the sensing data, wherein the energy waterfall graph represents light intensity and vibration energy information of a plurality of vibration sources;
the recognition module is used for recognizing the plurality of vibration sources according to the track waterfall diagram and the energy waterfall diagram of the target pipeline to obtain a plurality of vibration events along the target pipeline;
and the alarm module is used for triggering an alarm event based on a plurality of vibration events along the target pipeline.
In one possible implementation manner, the recognition module is configured to respectively convert the trajectory waterfall graph and the energy waterfall graph of the target pipeline into feature matrices, and input the feature matrices obtained through conversion into an event recognition model, where the event recognition model is obtained through training based on spatial trajectory information of a historical vibration source, light intensity and vibration energy information, and a labeled event type; outputting the plurality of vibration events through the event recognition model.
In one possible implementation, the alarm module is configured to obtain geographic information and seasonal information of event locations of the plurality of vibration events; obtaining the vibration event type according with the geographic information and the season information; filtering out events from the plurality of vibration events that conform to the vibration event type, triggering an alarm event based on the remaining vibration events.
In one possible implementation, the alarm module is configured to:
and triggering alarm events of different levels according to at least one of the radial distance and the moving speed of each vibration event on the target pipeline, wherein the alarm events of different levels correspond to monitoring forces of different intensities.
In one possible implementation, the triggering different levels of alarm events based on at least one of a radial distance and a moving speed of each of the vibration events on the target pipe includes:
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a first numerical range, triggering a checking type alarm event, wherein the checking type alarm event is used for prompting a user to check whether excavation activities occur on site;
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a second numerical range, triggering an attention type alarm event, wherein the attention type alarm event is used for prompting a user to pay attention to and report the mechanical excavation activity; wherein a lower limit value of the second range of values is greater than a lower limit value of the second range of values;
and when the moving speed of any vibration event is greater than a second threshold value, triggering an alarm event to be decided, wherein the alarm event to be decided is used for prompting a user to determine whether to continue processing according to the radial distance.
In one possible implementation, the apparatus further includes:
the display module is used for displaying each vibration event triggering the alarm event in a list display mode and correspondingly displaying the spatial track information of each vibration event.
In a possible implementation manner, the trajectory waterfall graph obtaining module is configured to determine, for sensing data of three adjacent sensing points on the target pipeline, an arrival time difference and a distance difference between a vibration source and the three adjacent sensing points based on a phase difference between the sensing data of the three adjacent sensing points and an estimated sound velocity of a soil body, and obtain a radial distance and an axial distance between the vibration source and the target pipeline based on the arrival time difference and the distance difference; and displaying the spatial track information of the plurality of vibration sources by taking the axial distance as a horizontal axis and taking the radial distance as a vertical axis.
In one aspect, a computer device is provided and includes one or more processors and one or more memories having at least one program code stored therein, the program code being loaded and executed by the one or more processors to implement the operations performed by the pipeline monitoring method as described above.
In one aspect, a computer-readable storage medium having at least one program code stored therein is provided, the program code being loaded and executed by a processor to implement the operations performed by the above-described pipeline monitoring method.
According to the technical scheme, the spatial track information and the energy information of the vibration source are estimated through the data sensed by the optical fiber vibration sensors arranged along the pipeline, more accurate behavior identification is carried out on dangerous events such as third-party construction, and then alarming is carried out based on abnormal behaviors, the condition that a large number of false alarms are easily generated due to the fact that the dangerous events are classified by experience is avoided, the alarming accuracy is greatly improved, and the application level of pipeline safety monitoring is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is an architecture diagram of a pipeline monitoring system according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a pipeline monitoring method according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a pipeline monitoring device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a pipeline monitoring method provided in an embodiment of the present application, and referring to fig. 1, the method includes:
101. and acquiring sensing data of the sensing optical cable of the target pipeline.
102. And acquiring a track waterfall diagram of the target pipeline according to the sensing data, wherein the track waterfall diagram represents space track information of a plurality of vibration sources, and the space track information comprises axial distances and radial distances between the plurality of vibration sources and the target pipeline.
103. And acquiring an energy waterfall graph of the target pipeline according to the sensing data, wherein the energy waterfall graph represents light intensity and vibration energy information of a plurality of vibration sources.
104. And identifying the plurality of vibration sources according to the track waterfall diagram and the energy waterfall diagram of the target pipeline to obtain a plurality of vibration events along the target pipeline.
105. Triggering an alarm event based on a plurality of vibration events along the target pipeline.
According to the method provided by the embodiment of the application, the spatial track information and the energy information of the vibration source are estimated through the data sensed by the optical fiber vibration sensors arranged along the pipeline, so that more accurate behavior identification is carried out on dangerous events such as third-party construction, and then alarming is carried out based on abnormal behaviors, the condition that a large number of false alarms are easily generated due to the fact that the dangerous events are classified by experience is avoided, the alarming accuracy is greatly improved, and the application level of pipeline safety monitoring is improved.
In one possible implementation manner, the identifying a plurality of vibration sources according to the trajectory waterfall graph and the energy waterfall graph of the target pipeline to obtain a plurality of vibration events along the target pipeline includes:
respectively converting the trajectory waterfall graph and the energy waterfall graph of the target pipeline into feature matrixes, and inputting the feature matrixes obtained through conversion into an event recognition model, wherein the event recognition model is obtained through training based on the space trajectory information, the light intensity and vibration energy information and the marked event type of a historical vibration source;
outputting the plurality of vibration events through the event recognition model.
In one possible implementation, the triggering an alarm event based on a plurality of vibration events along the target pipeline includes:
acquiring geographic information and seasonal information of event occurrence places of the plurality of vibration events;
obtaining the vibration event type according with the geographic information and the season information;
filtering out events from the plurality of vibration events that conform to the vibration event type, triggering an alarm event based on the remaining vibration events.
In one possible implementation, the triggering an alarm event based on a plurality of vibration events along the target pipeline includes:
and triggering alarm events of different levels according to at least one of the radial distance and the moving speed of each vibration event on the target pipeline, wherein the alarm events of different levels correspond to monitoring forces of different intensities.
In one possible implementation, the triggering different levels of alarm events based on at least one of a radial distance and a moving speed of each of the vibration events on the target pipe includes:
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a first numerical range, triggering a checking type alarm event, wherein the checking type alarm event is used for prompting a user to check whether excavation activities occur on site;
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a second numerical range, triggering an attention type alarm event, wherein the attention type alarm event is used for prompting a user to pay attention to and report the mechanical excavation activity; wherein a lower limit value of the second range of values is greater than a lower limit value of the second range of values;
and when the moving speed of any vibration event is greater than a second threshold value, triggering an alarm event to be decided, wherein the alarm event to be decided is used for prompting a user to determine whether to continue processing according to the radial distance.
In one possible implementation, the method further includes:
displaying each vibration event triggering an alarm event in a list display mode, and correspondingly displaying the spatial track information of each vibration event.
In one possible implementation manner, the obtaining a waterfall graph of a trajectory of the target pipeline according to the sensing data includes:
for sensing data of three adjacent sensing points on the target pipeline, determining arrival time difference and distance difference of a vibration source transmitted to the three adjacent sensing points based on phase differences among the sensing data of the three adjacent sensing points and estimated sound velocity of a soil body, and acquiring a radial distance and an axial distance between the vibration source and the target pipeline based on the arrival time difference and the distance difference;
and displaying the spatial track information of the plurality of vibration sources by taking the axial distance as a horizontal axis and taking the radial distance as a vertical axis.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
Fig. 2 is a flowchart of a pipeline monitoring method provided in an embodiment of the present application, and referring to fig. 2, the method includes:
201. and the computer equipment acquires the sensing data of the sensing optical cable of the target pipeline.
In the embodiment of the application, for any target pipeline, a sensing optical cable can be distributed around the target pipeline, a large number of vibration sensing points can be virtualized along the sensing optical cable to receive vibration signals from soil around the pipeline and transmit back sensing data generated based on the vibration signals, and computer equipment judges whether a dangerous vibration source exists around the pipeline or not by detecting the change of the sensing data.
It should be noted that the above sensing data may be acquired at intervals of a preset time period, and each time the sensing data of the last preset time period is acquired, the following process may be performed based on the acquired sensing data, so as to achieve the purpose of real-time identification and alarm.
202. And the computer equipment acquires a track waterfall graph of the target pipeline according to the sensing data, wherein the track waterfall graph represents the space track information of a plurality of vibration sources, and the space track information comprises the axial distance and the radial distance between the plurality of vibration sources and the target pipeline.
Wherein the axial distance refers to the distance of the vibration source along the pipeline, and the radial distance refers to the distance of the vibration source from the pipeline.
In one possible implementation manner, the obtaining a waterfall graph of a trajectory of the target pipeline according to the sensing data includes: for sensing data of three adjacent sensing points on the target pipeline, determining distance difference between a vibration source and the three adjacent sensing points based on phase difference between the sensing data of the three adjacent sensing points and estimated sound velocity of a soil body, and acquiring radial distance and axial distance between the vibration source and the target pipeline based on the distance difference and positions of the three adjacent sensing points; and displaying the spatial track information of the plurality of vibration sources by taking the axial distance as a horizontal axis and taking the radial distance as a vertical axis. The distance determination process applies a sound wave single-point location technology based on TDOA (time difference of arrival), and estimates the distance through information such as phase difference of waveforms received by fixed points with known distances, signal propagation speed and the like, so that the spatial resolution and the time resolution of the sensing optical cable are greatly improved through the estimation.
Assuming that the axial distance of the vibration source is x, the radial distance is y, and the positions of the three sensing points are known as (x1, 0), (x2, 0), (x3, 0), the distance difference between the vibration source and the first sensing point and the second sensing point is m, and the distance difference between the vibration source and the second sensing point and the third sensing point is n, the hyperbolic equation is established to solve the (x, y), and the following formula (1) and formula (2) can be specifically seen:
the spatial trajectory information may be used to indicate the speed, direction, duration, risk distance, etc. of the vibration source, and the information may be obtained by changing the axial distance and the radial distance with the event.
203. And the computer equipment acquires an energy waterfall graph of the target pipeline according to the sensing data, wherein the energy waterfall graph represents light intensity and vibration energy information of a plurality of vibration sources.
The energy waterfall graph can include information of light intensity and vibration energy at a certain position at a certain time after normalization. Based on the information of the amplitude, frequency, position, etc. of the vibration signal in the sensing data, the energy waterfall graph can be determined, which is not described herein.
204. And the computer equipment identifies the plurality of vibration sources according to the track waterfall graph and the energy waterfall graph of the target pipeline to obtain a plurality of vibration events along the target pipeline.
In a possible implementation manner, the trajectory waterfall graph and the energy waterfall graph of the target pipeline are respectively converted into feature matrices, the feature matrices obtained through conversion are input into an event recognition model, and the event recognition model is obtained through training based on the spatial trajectory information of a historical vibration source, the light intensity and vibration energy information and the labeled event type; outputting the plurality of vibration events through the event recognition model. It should be noted that the event recognition model may be formed by cascading a plurality of classifiers, and the composition architecture of the event recognition model is not limited in the embodiment of the present application. In matrix transformation, transformation may be performed based on a plurality of characteristics specified, such as speed, direction, duration, light intensity and vibration energy information of the vibration source. The vibration source may be manual excavation, mechanical excavation, vehicle traveling, or the like, it should be noted that, for the above vibration event type, the vibration event type may also be a type for describing a property of the event itself, such as a accompanying event, a crossing event, a loitering event, a temporary intrusion event, a continuous intrusion event, or the like, and for the same vibration event, the vibration event may have vibration source information such as manual excavation, machine excavation, or the like, and may also have a vibration event type, which is not limited in this embodiment of the present application.
In a possible implementation manner, the computer device may further display each vibration event triggering the alarm event in a list display manner, and correspondingly display spatial trajectory information of each vibration event. For example, an event waterfall graph may be generated based on the identified vibration events, the event waterfall graph may include vibration events at certain pipe locations at certain times, the abscissa may be the pipe location, the ordinate may be the event occurrence, and each point in the graph may represent a vibration event.
The identification process is actually carried out according to the characteristics of the vibration source such as speed, direction, duration, dangerous distance, vibration energy and the like, the characteristics can be used for identifying the type of the vibration source and the type of a vibration event occurring in the vibration source, and through identification of the event type, some error identification scenes can be greatly avoided, and the alarm accuracy is improved.
Optionally, in the subsequent feedback process based on the alarm, the event identification model may be updated based on the feedback of the user to the vibration event, so that the identification accuracy is higher, and the method is effectively adapted to the daily change of the construction environment.
205. Geographic information and seasonal information of the event venue of the plurality of vibration events is obtained.
It should be noted that the geographic information may refer to the pipe location corresponding to the sensing point generating the sensing data, and the season information may be determined based on the timestamp of the sensing data.
206. And the computer equipment acquires the vibration event type according with the geographic information and the seasonal information according to the geographic information and the seasonal information.
207. The computer device filters out events from the plurality of vibration events that conform to the vibration event type.
The above-described steps 205 to 207 are processes of filtering conventional events, such as road crossing, road accompanying, aerial laying, river crossing, farming plowing, pond excavation, etc., for which fixed locations and fixed times have been confirmed, in combination with geographical information and seasonal information.
A list of corresponding vibration event types may be stored on the computer device based on the geographical information and seasonal information for filtering after identification, e.g., for a road crossing between the m-th to n-th piles of the pipeline, a vibration signal detected at this geographical location may be considered a regular event without an alarm.
In a possible implementation, the alarm may also be given for regular events with a radial distance within the first range of values, and some regular events generally do not occur too close to the location of the pipeline, so that in order to avoid a dangerous situation, regular events with a small radial distance may also need to be given an alarm to ensure the safety of the pipeline.
208. And triggering alarm events of different levels by the computer equipment according to at least one of the radial distance and the moving speed of each vibration event on the target pipeline, wherein the alarm events of different levels correspond to the monitoring strength of different intensities.
Different radial distances and moving speeds can be used to measure the risk of the vibration event, for example, some vibration events with lower speed but closer distance are likely to be excavation events close to the pipeline, and need to prompt for heavy attention, while some vibration events with lower speed but farther distance can be considered to have certain threat, but not necessarily pipeline-related threat, and need to prompt for keeping attention, while some vibration events with higher speed need to be further judged by combining the radial distance. That is, this step 208 may include the following implementation:
in one possible implementation, when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a first numerical range, a viewing-class alarm event is triggered, and the viewing-class alarm event is used for prompting a user to view whether the excavation activity occurs on site. For example, for a low-speed movement and a distance pipe within a range of 5 meters, a first-level alarm can be set, and a user is required to focus on the scene to see whether mechanical excavation or manual excavation activities exist.
When the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a second numerical range, triggering an attention type alarm event, wherein the attention type alarm event is used for prompting a user to pay attention to and report the mechanical excavation activity; wherein a lower limit value of the second range of values is greater than a lower limit value of the second range of values. For example, for low speed movement and a distance from the pipe in the range of 5 to 20 meters, a secondary prompt is set, asking the user to pay attention whether a mechanical digging activity is warranted.
And when the moving speed of any vibration event is greater than a second threshold value, triggering an alarm event to be decided, wherein the alarm event to be decided is used for prompting a user to determine whether to continue processing according to the radial distance. For example, for fast moving, a three-level cue is set, whether to continue the treatment is decided according to the distance, and if the radial distance of the vibration source of the vibration event subsequently changes until the radial distance falls within the first numerical range or the second numerical range, an alarm can be given based on the above embodiment.
Or, when the event type of any vibration event is the target type, triggering a tracking alarm event, wherein the tracking alarm event is used for prompting continuous tracking of the movement track information of the vibration event.
The step 208 is an implementation of triggering an alarm event based on a plurality of vibration events along the target pipeline, and other implementations may also be adopted based on the identified vibration events, for example, the alarm level is divided more finely, and the like, which is not limited in this embodiment.
It should be noted that, for the purpose of more efficient and accurate alarm, the computer device may combine the event waterfall chart to perform targeted processing on some types of vibration events so as to raise the alarm level based on the risk level of the event, or perform continuous attention based on the possible development direction of the event, for example, for a loitering event and an intrusion event with a radial distance within a first numerical range, a first-level alarm in the above steps may be performed, that is, a loitering-like alarm event, such as loitering and intrusion events within a range of 5 meters, may perform a detailed alarm in the above steps, and for a loitering event and intrusion event with a radial distance within a second numerical range, a tracking-like alarm event in the above steps may be performed, such as continuously tracking loitering and intrusion events within a range of 20 meters.
The alarm events may be presented by an alarm list that may be displayed distinctively based on different alarm events, such as with color distinguishing display lights, and a trace simulation chart that may be displayed based on spatial trace information for each vibration event. For example, for an event that is continuously tracked, the update of the spatial trajectory information of the event can be displayed based on the received sensing data at preset time intervals, so as to realize a real-time prompting effect.
According to the method provided by the embodiment of the application, the spatial track information and the energy information of the vibration source are estimated through the data sensed by the optical fiber vibration sensors arranged along the pipeline, so that more accurate behavior identification is carried out on dangerous events such as third-party construction, and then alarming is carried out based on abnormal behaviors, the condition that a large number of false alarms are easily generated due to the fact that the dangerous events are classified by experience is avoided, the alarming accuracy is greatly improved, and the application level of pipeline safety monitoring is improved. Furthermore, in the alarm process, abnormal events and conventional events can be identified, so that invalid alarms based on the conventional events are filtered, only the abnormal events with dynamic alarm levels are output to users, the alarm accuracy is further improved, and processing prompts with different danger degrees can be supported by diversification of the alarm levels, for example, key alarms can be performed on various kinds of excavation within a range of 5 meters, mechanical excavation and temporary intrusion are continuously tracked within a range of 20 meters, further, the filtering of the invalid alarms can be achieved by combining geographic information and seasonal information, and the application level of the system is greatly improved.
Fig. 3 is a schematic structural diagram of a pipeline monitoring device according to an embodiment of the present application. Referring to fig. 3, the apparatus includes:
an obtaining module 301, configured to obtain sensing data of a sensing optical cable of a target pipeline;
a trajectory waterfall graph obtaining module 302, configured to obtain a trajectory waterfall graph of the target pipeline according to the sensing data, where the trajectory waterfall graph represents spatial trajectory information of multiple vibration sources, and the spatial trajectory information includes axial distances and radial distances between the multiple vibration sources and the target pipeline;
an energy waterfall graph obtaining module 303, configured to obtain an energy waterfall graph of the target pipeline according to the sensing data, where the energy waterfall graph represents light intensity and vibration energy information of multiple vibration sources;
the identification module 304 is configured to identify the multiple vibration sources according to the trajectory waterfall chart and the energy waterfall chart of the target pipeline, so as to obtain multiple vibration events along the target pipeline;
an alarm module 305 for triggering an alarm event based on a plurality of vibration events along the target pipeline.
The device that this application embodiment provided, the data that the optic fibre vibration sensor through laying in the pipeline along the line perceived estimate the space orbit information and the energy information of vibration source, realize carrying out more accurate action discernment to dangerous events such as third party construction, and then report to the police based on unusual action, avoided because the condition of the categorised dangerous event of dependence experience and a large amount of false positives that very easily produce, improved the rate of accuracy of reporting to the police greatly, improve pipeline safety monitoring's application level.
In one possible implementation manner, the recognition module is configured to respectively convert the trajectory waterfall graph and the energy waterfall graph of the target pipeline into feature matrices, and input the feature matrices obtained through conversion into an event recognition model, where the event recognition model is obtained through training based on spatial trajectory information of a historical vibration source, light intensity and vibration energy information, and a labeled event type; outputting the plurality of vibration events through the event recognition model.
In one possible implementation, the alarm module is configured to obtain geographic information and seasonal information of event locations of the plurality of vibration events; obtaining the vibration event type according with the geographic information and the season information; filtering out events from the plurality of vibration events that conform to the vibration event type, triggering an alarm event based on the remaining vibration events.
In one possible implementation, the alarm module is configured to:
and triggering alarm events of different levels according to at least one of the radial distance and the moving speed of each vibration event on the target pipeline, wherein the alarm events of different levels correspond to monitoring forces of different intensities.
In one possible implementation, the triggering different levels of alarm events based on at least one of a radial distance and a moving speed of each of the vibration events on the target pipe includes:
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a first numerical range, triggering a checking type alarm event, wherein the checking type alarm event is used for prompting a user to check whether excavation activities occur on site;
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a second numerical range, triggering an attention type alarm event, wherein the attention type alarm event is used for prompting a user to pay attention to and report the mechanical excavation activity; wherein a lower limit value of the second range of values is greater than a lower limit value of the second range of values;
and when the moving speed of any vibration event is greater than a second threshold value, triggering an alarm event to be decided, wherein the alarm event to be decided is used for prompting a user to determine whether to continue processing according to the radial distance.
In one possible implementation, the apparatus further includes:
the display module is used for displaying each vibration event triggering the alarm event in a list display mode and correspondingly displaying the spatial track information of each vibration event.
In a possible implementation manner, the trajectory waterfall graph obtaining module is configured to determine, for sensing data of three adjacent sensing points on the target pipeline, a distance difference between a vibration source and the three adjacent sensing points based on a phase difference between the sensing data of the three adjacent sensing points and an estimated sound velocity of a soil body, and obtain a radial distance and an axial distance between the vibration source and the target pipeline based on the distance difference and positions of the three adjacent sensing points; and displaying the spatial track information of the plurality of vibration sources by taking the axial distance as a horizontal axis and taking the radial distance as a vertical axis.
It should be noted that: in the pipeline monitoring device provided in the above embodiment, only the division of the above functional modules is used for illustration in pipeline monitoring, and in practical application, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the pipeline monitoring device provided by the above embodiment and the pipeline monitoring method embodiment belong to the same concept, and the specific implementation process thereof is detailed in the method embodiment and is not described herein again.
Fig. 4 is a schematic structural diagram of a computer device 400 according to an embodiment of the present application, where the computer device 400 may generate a relatively large difference due to a difference in configuration or performance, and may include one or more processors (CPUs) 401 and one or more memories 402, where at least one instruction is stored in the one or more memories 402, and the at least one instruction is loaded and executed by the one or more processors 401 to implement the methods provided by the foregoing method embodiments. Of course, the computer device 400 may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input/output, and the computer device 400 may also include other components for implementing device functions, which are not described herein again.
In an exemplary embodiment, a computer-readable storage medium, such as a memory, is also provided that includes instructions executable by a processor to perform the method of pipeline monitoring in the above-described embodiments. For example, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A method of pipeline monitoring, the method comprising:
acquiring sensing data of a sensing optical cable of a target pipeline;
acquiring a trajectory waterfall diagram of the target pipeline according to the sensing data, wherein the trajectory waterfall diagram represents spatial trajectory information of a plurality of vibration sources, and the spatial trajectory information comprises axial distances and radial distances between the plurality of vibration sources and the target pipeline;
acquiring an energy waterfall graph of the target pipeline according to the sensing data, wherein the energy waterfall graph represents light intensity and vibration energy information of a plurality of vibration sources;
according to the track waterfall diagram and the energy waterfall diagram of the target pipeline, a plurality of vibration sources are identified to obtain a plurality of vibration events along the target pipeline;
triggering an alarm event based on a plurality of vibration events along the target pipeline.
2. The method of claim 1, wherein the identifying the plurality of vibration sources according to the trajectory waterfall graph and the energy waterfall graph of the target pipeline to obtain a plurality of vibration events along the target pipeline comprises:
respectively converting the trajectory waterfall graph and the energy waterfall graph of the target pipeline into feature matrixes, and inputting the feature matrixes obtained through conversion into an event recognition model, wherein the event recognition model is obtained through training based on the space trajectory information, the light intensity and vibration energy information and the marked event type of a historical vibration source;
outputting the plurality of vibration events through the event recognition model.
3. The method of claim 1, wherein triggering an alarm event based on a plurality of vibration events along the target conduit comprises:
acquiring geographic information and seasonal information of event occurrence places of the plurality of vibration events;
obtaining the vibration event type according with the geographic information and the season information;
filtering out events from the plurality of vibration events that conform to the vibration event type, triggering an alarm event based on the remaining vibration events.
4. The method of claim 1, wherein triggering an alarm event based on a plurality of vibration events along the target conduit comprises:
and triggering alarm events of different levels according to at least one of the radial distance and the moving speed of each vibration event on the target pipeline, wherein the alarm events of different levels correspond to monitoring forces of different intensities.
5. The method of claim 1, wherein triggering different levels of alarm events based on at least one of radial distance and speed of movement of each of the vibration events on the target pipe comprises:
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a first numerical range, triggering a checking type alarm event, wherein the checking type alarm event is used for prompting a user to check whether excavation activities occur on site;
when the moving speed of any vibration event is lower than a first threshold value and the radial distance is within a second numerical range, triggering an attention type alarm event, wherein the attention type alarm event is used for prompting a user to pay attention to and report the mechanical excavation activity; wherein a lower limit value of the second range of values is greater than a lower limit value of the second range of values;
and when the moving speed of any vibration event is greater than a second threshold value, triggering an alarm event to be decided, wherein the alarm event to be decided is used for prompting a user to determine whether to continue processing according to the radial distance.
6. The method of claim 1, further comprising:
displaying each vibration event triggering an alarm event in a list display mode, and correspondingly displaying the spatial track information of each vibration event.
7. The method of claim 1, wherein the obtaining a waterfall plot of a trajectory of the target pipeline from the sensed data comprises:
for sensing data of three adjacent sensing points on the target pipeline, determining arrival time difference and distance difference of a vibration source transmitted to the three adjacent sensing points based on phase differences among the sensing data of the three adjacent sensing points and estimated sound velocity of a soil body, and acquiring a radial distance and an axial distance between the vibration source and the target pipeline based on the arrival time difference and the distance difference;
and displaying the spatial track information of the plurality of vibration sources by taking the axial distance as a horizontal axis and taking the radial distance as a vertical axis.
8. A pipeline monitoring device, the device comprising:
the acquisition module is used for acquiring sensing data of a sensing optical cable of a target pipeline;
the trajectory waterfall graph acquiring module is used for acquiring a trajectory waterfall graph of the target pipeline according to the sensing data, wherein the trajectory waterfall graph represents spatial trajectory information of a plurality of vibration sources, and the spatial trajectory information comprises axial distances and radial distances between the plurality of vibration sources and the target pipeline;
the energy waterfall graph acquisition module is used for acquiring an energy waterfall graph of the target pipeline according to the sensing data, wherein the energy waterfall graph represents light intensity and vibration energy information of a plurality of vibration sources;
the recognition module is used for recognizing the plurality of vibration sources according to the track waterfall diagram and the energy waterfall diagram of the target pipeline to obtain a plurality of vibration events along the target pipeline;
and the alarm module is used for triggering an alarm event based on a plurality of vibration events along the target pipeline.
9. A computer device comprising one or more processors and one or more memories having at least one program code stored therein, the program code being loaded and executed by the one or more processors to perform operations performed by the pipeline monitoring method of any of claims 1 to 7.
10. A computer-readable storage medium having at least one program code stored therein, the program code being loaded and executed by a processor to perform the operations performed in the pipeline monitoring method according to any one of claims 1 to 7.
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