CN114439405A - Fault monitoring method, device, equipment and medium for blowout preventer control device - Google Patents
Fault monitoring method, device, equipment and medium for blowout preventer control device Download PDFInfo
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- CN114439405A CN114439405A CN202210075189.5A CN202210075189A CN114439405A CN 114439405 A CN114439405 A CN 114439405A CN 202210075189 A CN202210075189 A CN 202210075189A CN 114439405 A CN114439405 A CN 114439405A
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B33/00—Sealing or packing boreholes or wells
- E21B33/02—Surface sealing or packing
- E21B33/03—Well heads; Setting-up thereof
- E21B33/06—Blow-out preventers, i.e. apparatus closing around a drill pipe, e.g. annular blow-out preventers
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
Abstract
The application relates to the field of computer technology, in particular to a method, a device, equipment and a medium for monitoring faults of a blowout preventer control device, wherein the method comprises the steps of acquiring sound data acquired by sound acquisition equipment installed in the blowout preventer control device; judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collection equipment; if the blowout preventer control device leaks, determining leakage information of the blowout preventer control device, wherein the leakage information comprises position information and leakage amount information; and if the blowout preventer control device does not leak, predicting the failure of the blowout preventer control device. This application can be convenient for carry out fault monitoring to preventer control device.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a medium for monitoring a failure of a blowout preventer control apparatus.
Background
During the operation processes of oil field testing, well repairing, well completion and the like, emergencies such as well kick or blowout and the like may occur. The blowout preventer and the blowout preventer control device can rapidly plug the wellhead to prevent blowout, and the blowout preventer control device has important significance for smooth operation of oil field operation and safety of field workers. However, during the operation of the blowout preventer control device, oil leakage from the cylinder may occur due to aging of seals in the blowout preventer control device, and the like.
In the related art, an oil leakage sensor is installed in a blowout preventer control apparatus to monitor a failure condition of the blowout preventer control apparatus. Generally, an oil leakage sensor adopts an infrared photoelectric principle, and when a blowout preventer control device sends leakage and leaked liquid contacts the surface of the oil leakage sensor, probe light of the oil leakage sensor is refracted to respond. However, the oil leakage sensor is susceptible to external environmental factors such as temperature, and therefore faults of the blowout preventer control device are not easy to monitor.
Disclosure of Invention
In order to facilitate fault monitoring of a blowout preventer control device, the application provides a method, a device, equipment and a medium for fault monitoring of the blowout preventer control device.
In a first aspect, the present application provides a method for monitoring a failure of a blowout preventer control apparatus, which adopts the following technical scheme:
a blowout preventer control device fault monitoring method, comprising:
acquiring sound data acquired by sound acquisition equipment installed in a blowout preventer control device;
judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collection equipment;
if the blowout preventer control device leaks, determining leakage information of the blowout preventer control device, wherein the leakage information comprises position information and leakage amount information;
and if the blowout preventer control device does not leak, predicting the failure of the blowout preventer control device.
Through adopting above-mentioned technical scheme, can acquire the sound data that sound collection equipment gathered, and carry out the analysis to sound data, whether take place to reveal with judging preventer control device, the installation oil leak sensor has been saved from this, look over the step of oil leak sensor, when preventer control device breaks down, confirm preventer control device's information such as the position of revealing and leakage amount, in order to inform the staff and carry out operations such as maintenance, when preventer control device does not break down, then carry out the fault prediction to preventer control device, in order to reduce the possibility that preventer control device breaks down and brings economic loss, be convenient for carry out fault monitoring to preventer control device from this.
In another possible implementation manner, the determining whether the blowout preventer control device is leaked based on the sound data collected by the sound collection device includes:
performing framing processing on the sound data acquired by the sound acquisition equipment to obtain a voice signal;
separating the voice signal, and determining the strength value of the separated voice signal, wherein the separated voice signal is the voice signal of the blowout preventer control device;
and judging whether the blowout preventer control device leaks or not based on the strength value of the separated voice signal.
By adopting the technical scheme, the voice data can be converted into the voice signals, the voice signals are separated, the voice signals of the blowout preventer control device are obtained, the influence of environmental voices such as human voice, equipment running voice and the like on the voice signal analysis is reduced, the strength value of the separated voice signals is determined, and whether the blowout preventer control device leaks or not is judged conveniently according to the strength value.
In another possible implementation manner, the performing frame division processing on the sound data collected by the sound collection device to obtain a speech signal includes:
sampling the sound data to obtain sampled sound data;
and determining a spectrogram of the sampled sound data to obtain a voice signal.
By adopting the technical scheme, the sound data can be sampled, the spectrogram of the sampled sound data is determined, and therefore the sound data is converted into the digital voice signal, and the electronic equipment can analyze and process the sound data conveniently.
In another possible implementation manner, the determining leakage information of the blowout preventer control device if the blowout preventer control device leaks includes:
acquiring phase information of a voice signal, and determining leakage position information of the blowout preventer control device based on the phase information of the voice signal;
the method comprises the steps of obtaining vibration signals collected by a pressure sensor installed in a blowout preventer control device, and determining the diameter of a leakage hole and leakage amount information based on the vibration signals.
By adopting the technical scheme, the phase information of the voice signal can be acquired, the phase information of the voice signal is analyzed, the vibration signal collected by the pressure sensor can be acquired, the vibration signal is analyzed, the diameter of the leakage hole with leakage can be determined, and the leakage amount information at the position can be calculated.
In another possible implementation manner, the predicting the failure of the blowout preventer control device if the blowout preventer control device is not leaked includes:
acquiring blowout preventer control device information and past fault data;
generating a fault prediction model based on the blowout preventer control device information and the historical fault data.
And performing fault prediction on the blowout preventer control device based on the anti-fault prediction model.
By adopting the technical scheme, the information of the blowout preventer control device comprises the service life and other information of the blowout preventer control device, statistics can be carried out on the information of the blowout preventer control device and the fault data of the past times, and a fault prediction model can be generated, and the fault prediction model can predict the fault of the blowout preventer control device according to the current condition information so as to reduce the economic loss and the like caused by emergency situations.
In another possible implementation manner, the obtaining the information of the control device of the blowout preventer includes:
acquiring the delivery date and the warehouse-in and warehouse-out date of the blowout preventer control device, and estimating the service life of the blowout preventer control device;
acquiring the previous maintenance record of the blowout preventer control device;
and estimating the service life information of the blowout preventer control device based on the service life of the blowout preventer control device and the previous maintenance record.
By adopting the technical scheme, the service life of the blowout preventer control device can be estimated according to the delivery date, the warehousing date and the delivery date of the blowout preventer control device, so that the old and new degree, the aging degree and the wear degree of the blowout preventer control device can be estimated, and the service life information of the blowout preventer control device can be estimated according to the maintenance records of the past times, namely the more the maintenance times are, the shorter the service life is under the general condition.
In another possible implementation manner, if the blowout preventer control device leaks, determining leakage information of the blowout preventer control device, and then further includes:
sending blowout preventer control device leakage information to staff;
and estimating leakage amount information generated in the maintenance process.
Through adopting above-mentioned technical scheme, can take place preventer control device to the staff and reveal information, remind the staff from this to reduce the loss that emergency accident caused etc. can predict the volume of revealing in the maintenance process, in order to determine the influence that the maintenance process caused preventer control device work.
In a second aspect, the present application provides a blowout preventer control device fault monitoring device, which adopts the following technical scheme:
a blowout preventer control device fault monitoring apparatus, comprising:
the acquisition module is used for acquiring sound data acquired by sound acquisition equipment installed in the blowout preventer control device;
the judging module is used for judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collecting equipment;
the determining module is used for determining leakage information of the blowout preventer control device if the blowout preventer control device leaks, wherein the leakage information comprises position information and leakage amount information;
and the failure prediction module is used for predicting the failure of the blowout preventer control device if the blowout preventer control device does not leak.
By adopting the technical scheme, the acquisition module can acquire the sound data acquired by the sound acquisition equipment, and the sound data is analyzed, the judgment module judges whether the blowout preventer control device leaks, so that an oil leakage sensor is omitted, the step of checking the oil leakage sensor is omitted, when the blowout preventer control device breaks down, the determination module determines the information such as the leakage position and the leakage amount of the blowout preventer control device, so that the worker is informed to carry out operations such as maintenance, when the blowout preventer control device does not break down, the fault prediction module carries out fault prediction on the blowout preventer control device, so that the possibility that economic loss is caused by the fact that the blowout preventer control device breaks down is reduced, and therefore fault monitoring is carried out on the blowout preventer control device.
In another possible implementation manner, the determining module is specifically configured to, when determining whether the blowout preventer control device leaks based on the sound data collected by the sound collecting device:
performing framing processing on the sound data acquired by the sound acquisition equipment to obtain a voice signal;
separating the voice signal, and determining the strength value of the separated voice signal, wherein the separated voice signal is the voice signal of the blowout preventer control device;
and judging whether the blowout preventer control device leaks or not based on the strength value of the separated voice signal.
In another possible implementation manner, the determining module is specifically configured to, when performing framing processing on the sound data acquired by the sound acquisition device to obtain a speech signal:
sampling the sound data to obtain sampled sound data;
and determining a spectrogram of the sampled sound data to obtain a voice signal.
In another possible implementation manner, the determining module, when determining the leakage information of the blowout preventer control device if the blowout preventer control device leaks, is specifically configured to:
acquiring phase information of a voice signal, and determining leakage position information of the blowout preventer control device based on the phase information of the voice signal;
the method comprises the steps of obtaining vibration signals collected by a pressure sensor installed in a blowout preventer control device, and determining the diameter of a leakage hole and leakage amount information based on the vibration signals.
In another possible implementation manner, the failure prediction module is specifically configured to, when performing failure prediction on the blowout preventer control apparatus if the blowout preventer control apparatus is not leaked:
acquiring blowout preventer control device information and past fault data;
generating a fault prediction model based on the blowout preventer control device information and the historical fault data.
And performing fault prediction on the blowout preventer control device based on the anti-fault prediction model.
In another possible implementation, the failure prediction module, when obtaining the information of the blowout preventer control apparatus, is specifically configured to:
obtaining the delivery date and the warehouse entry date of the blowout preventer control device, and estimating the service life of the blowout preventer control device;
acquiring the previous maintenance record of the blowout preventer control device;
and estimating the service life information of the blowout preventer control device based on the service life of the blowout preventer control device and the previous maintenance record.
In another possible implementation manner, the apparatus further includes: a sending module and an estimation module, wherein,
the sending module is used for sending the leakage information of the blowout preventer control device to workers;
and the estimation module is used for estimating leakage amount information generated in the maintenance process.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: a method of monitoring a blowout preventer control apparatus fault is performed in accordance with any one of the possible implementations of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, comprising: there is stored a computer program that can be loaded by a processor and executed to implement a method of monitoring a blowout preventer control device failure as set out in any one of the possible implementations of the first aspect.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method has the advantages that the sound data acquired by the sound acquisition equipment can be acquired, the sound data are analyzed, and whether the blowout preventer control device leaks or not is judged, so that the step of installing an oil leakage sensor is omitted, the step of checking the oil leakage sensor is omitted, when the blowout preventer control device fails, information such as the leakage position and the leakage amount of the blowout preventer control device is determined, so that workers can conveniently perform maintenance and other operations, when the blowout preventer control device does not fail, the blowout preventer control device is subjected to failure prediction, so that the possibility of economic loss caused by the failure of the blowout preventer control device is reduced, and the blowout preventer control device is conveniently subjected to failure monitoring;
2. the voice data can be converted into voice signals, the voice signals are separated, the voice signals of the blowout preventer control device are obtained, the influence of environmental voices such as human voice and equipment running voice on the analysis of the voice signals is reduced, the strength value of the separated voice signals is determined, and whether the blowout preventer control device leaks or not is judged conveniently according to the strength value.
Drawings
Fig. 1 is a schematic flow chart of a method for monitoring a failure of a blowout preventer control device according to an embodiment of the present application.
FIG. 2 is a schematic diagram of a blowout preventer control device fault monitoring apparatus according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The embodiments of the present application will be described in further detail with reference to the accompanying drawings 1-3.
The present embodiment is only for explaining the present application, and it is not limited to the present application, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The blowout preventer control device is a safe wellhead sealing device which effectively controls a wellhead blowout preventer stack, a hydraulic throttle valve and a kill valve in the processes of oil testing, well workover and well completion. In the process of petroleum drilling, when emergency conditions such as well kick, blowout and the like occur, the blowout preventer control device can quickly plug a well mouth, and has important significance for ensuring smooth drilling operation and ensuring the safety of field personnel.
The embodiment of the application provides a method for monitoring the faults of a blowout preventer control device, which can collect the sound of the blowout preventer control device through sound collection equipment and analyze sound data so as to judge whether the blowout preventer control device leaks. The method comprises the steps of determining leakage information when leakage occurs, and predicting the fault of the blowout preventer control device when leakage does not occur so as to remind workers.
In order to better implement the method for monitoring the faults of the blowout preventer control device, the following description is made by specific embodiments and with reference to the accompanying drawings.
The embodiment of the application provides a method for monitoring faults of a blowout preventer control device, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server or a server cluster or distributed system formed by a plurality of physical servers. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto, and the embodiment of the present application is not limited thereto.
Further, an embodiment of the present application provides a method for monitoring a failure of a blowout preventer control device, and as shown in fig. 1, an example is given to perform the method for monitoring the failure of the blowout preventer control device, which is specifically as follows:
step S101, acquiring sound data collected by sound collection equipment installed in the blowout preventer control device.
For this application embodiment, install sound collection equipment respectively in a plurality of positions of preventer controlling means in advance, sound collection equipment includes: sound sensor and audio collector etc.. The electronic device and the sound collection device may be connected by a wireless Communication protocol such as WiFi, bluetooth, and NFC (Near Field Communication), so that the electronic device can acquire sound data collected by the sound collection device.
And S102, judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collection equipment.
For the embodiment of the application, the electronic device can analyze the sound data collected by the sound collection device, and the sound data is subjected to preprocessing such as denoising processing and echo cancellation processing, so that the influence of environmental sound on the sound data is reduced. Judging whether the blowout preventer control device leaks: sound data can be converted into sound wave signals through Fourier transformation, the sound wave signals are analyzed, the amplitude corresponding to the sound wave signals is determined, a normal amplitude range interval is preset, and whether the current amplitude is in a normal amplitude range or not is judged.
And step S103, if the blowout preventer control device leaks, determining the leakage information of the blowout preventer control device.
Wherein the leakage information includes location information and leakage amount information.
For the embodiment of the application, if the amplitude of the current sound wave signal exceeds the normal amplitude range, it is determined that the blowout preventer control device leaks. Determining a location of a leak in a blowout preventer control device: by comparing the amplitude information of the respective sound collection devices, the amplitude of the acoustic wave signal is larger at a position closer to the leak point, and the amplitude of the acoustic wave signal is smaller at a position farther from the leak point, whereby the position information can be determined. Determining a leak amount of a blowout preventer control device: the leakage amount can be determined by the amplitude of the acoustic wave signal, wherein the larger the amplitude, the more the leakage amount.
And step S104, if the blowout preventer control device does not leak, predicting the failure of the blowout preventer control device.
For the embodiment of the application, if the amplitude of the current sound wave signal does not exceed the normal amplitude range, it is determined that the blowout preventer control device is not leaked. Predicting the failure of the blowout preventer control device: and (4) extracting the characteristics of the voice data, and inputting the characteristics into a pre-trained neural network model to predict the fault. The past fault information of the blowout preventer control device and other blowout preventer control devices can be acquired and input into the neural network model for training so as to predict the faults of the blowout preventer control device.
Specifically, in the embodiment of the present application, the step S102 of determining whether the blowout preventer control device is leaking based on the sound data collected by the sound collecting device may specifically include the steps S1021 (not shown), S1022 (not shown), and S1023 (not shown), wherein,
step S1021, the sound data collected by the sound collecting device is subjected to framing processing to obtain a voice signal.
For the embodiment of the application, the sound data collected by the sound collecting device is subjected to framing processing: the audio data may be windowed and segmented, or framed by an MATLAB framing function, and divided into frames, where the frame length is typically 10-30ms (milliseconds). Specifically, windowing is performed on the sound data: the method can be realized by performing overlapped segmentation through a Hamming window function and adopting a movable window with limited length for weighting.
Step S1022, separate the voice signal, and determine the strength value of the separated voice signal.
Wherein, the separated voice signal is the voice signal of the blowout preventer control device.
For the embodiment of the application, the voice signals are separated: the electronic device may input the speech signal into a pre-trained network model. Specifically, the network model may be a neural network model, and the neural network model is trained and learned: firstly, various sounds and types corresponding to the sounds are used as a training sample set, the training sample set comprises background sounds such as human sounds and equipment operation sounds, and also comprises sounds leaked by the blowout preventer control device, then the training sample set is input into a neural network model for training and learning, and the trained neural network model can distinguish the background sounds from the sounds leaked by the blowout preventer control device in the various sounds. Determining a strength value of the separated voice signal: the speech signal may be converted to an electrical signal to produce a waveform map in which the greater the amplitude, the higher the intensity value.
And step S1023, judging whether the blowout preventer control device leaks or not based on the strength value of the separated voice signal.
For the embodiment of the application, the strength critical value of the blowout preventer control device leakage is preset, and the size relation between the separated strength value of the voice signal and the strength critical value of the blowout preventer control device leakage is judged. When the separated voice signal strength value is larger than the critical value of the strength of the leakage of the blowout preventer control device, determining that the blowout preventer control device leaks; and otherwise, when the separated voice signal strength value is smaller than the critical value of the strength of the leakage of the blowout preventer control device, determining that the blowout preventer control device is not leaked.
Specifically, in the embodiment of the present application, the framing processing is performed on the sound data collected by the sound collection device in step S1022 to obtain the voice signal, which specifically includes step S10221 (not shown in the figure) and step S10222 (not shown in the figure), wherein,
in step S10221, the audio data is sampled to obtain sampled audio data.
For the embodiment of the application, the sound data is sampled: the sampled sound data may be obtained by sampling the sound data using the nyquist sampling theorem. The sound data has energy waves, frequency values of certain points are extracted from the sound data, the more sampling points are extracted, the higher the sampling rate is, the higher the sampling precision is, and the more accurate the sound data is sampled.
Determining a spectrogram corresponding to the voice signal: decomposing sound data into a direct current component and a plurality of sinusoidal signals through Fourier transform, and drawing the amplitudes of the sinusoidal signals on corresponding frequencies by taking the frequency values of the sinusoidal components as a horizontal axis and the amplitudes of the sinusoidal components as a vertical axis to form a spectrogram.
Step S10222, determining a spectrogram of the sampled sound data to obtain a speech signal.
For the embodiment of the application, the sampled sound data can be decomposed into a direct current component and a plurality of sinusoidal signals by performing fourier transform processing on the sampled sound data, the frequency value of the sinusoidal component is taken as a horizontal axis, the amplitude value of the sinusoidal component is taken as a vertical axis, and the amplitude value of the sinusoidal signal is drawn on the corresponding frequency to form a spectrogram, so that the voice signal is obtained.
Specifically, in the embodiment of the present application, if the blowout preventer control apparatus leaks in step S103, determining the leakage information of the blowout preventer control apparatus may specifically include step S1031 (not shown in the figure) and step S1032 (not shown in the figure) and, wherein,
and step S1031, acquiring phase information of the voice signal, and determining leakage position information of the blowout preventer control device based on the phase information of the voice signal.
For the embodiment of the application, the electronic equipment can preset a window function, short-time Fourier transform processing is carried out on a voice signal to obtain a Fourier expression of the voice signal, phase information is determined from the Fourier expression, the phase information represents arrival of the signal, and therefore leakage position information is determined according to the phase information propagation speed of the voice signal.
Step S1032, acquiring a vibration signal acquired by a pressure sensor installed in the blowout preventer control device, and determining the diameter of a leakage hole and leakage amount information based on the vibration signal.
For the embodiment of the application, the leakage conditions are stored for multiple times in advance, the relation between the leakage holes and the leakage amount is counted respectively, the electronic equipment analyzes the vibration signals, linear regression processing is carried out on the diameters of the multiple groups of leakage holes, the leakage amount and the pressure information, modeling is carried out, the current vibration signals are input into the model to determine the diameters of the leakage holes, and the leakage amount is determined jointly based on the diameters of the leakage holes and the leakage time.
Specifically, in the embodiment of the present application, if the blowout preventer control apparatus does not leak in step S104, predicting the failure of the blowout preventer control apparatus may specifically include step S1041 (not shown), step S1042 (not shown), and step S1043 (not shown), wherein,
and S1041, acquiring past fault data of the blowout preventer control device, and generating a fault prediction model.
For the embodiment of the application, when the blowout preventer control device sends a fault, the fault time, the fault reason and the maintenance degree are stored. Classifying fault data of previous times, classifying non-human factors such as machine aging and component abrasion into a first fault type, classifying human factors such as improper use into a second fault type, and generating a fault prediction model based on data such as adjacent fault interval duration.
Step S1042, acquiring the bop control device information.
For the embodiment of the application, the information of the blowout preventer control device comprises information such as the model information and the factory date of the blowout preventer control device. When the blowout preventer control device is purchased, the blowout preventer control device is numbered in advance, and information of the blowout preventer control device is input into the electronic equipment, so that the operation of checking, recording, inquiring and the like can be conveniently carried out by a worker.
Step S1043, performing a failure prediction on the blowout preventer control apparatus based on the blowout preventer control apparatus information and the failure prediction model.
For the embodiment of the application, the electronic equipment pre-estimates the service life information of the blowout preventer control device based on the information of the blowout preventer control device, and then determines the fault prediction information corresponding to the current information of the blowout preventer control device in the blowout preventer control device prediction model based on the fault prediction model.
Specifically, in the embodiment of the present application, the obtaining of the information of the blowout preventer control device in step S1042 may specifically include step S10421 (not shown in the figure), step S10422 (not shown in the figure), and step S10423 (not shown in the figure), wherein,
step S10421, obtaining the delivery date and the warehouse entry date of the blowout preventer control device, and estimating the service life of the blowout preventer control device.
According to the embodiment of the application, when the blowout preventer control devices are put in storage, the delivery dates of the blowout preventer control devices can be recorded, and the electronic equipment stores the delivery dates of the blowout preventer control devices. Acquiring the in-out date of the blowout preventer control device: the scanner can be installed in advance in a factory, and scanning is carried out when the blowout preventer control device is stored in a warehouse and is taken out of the warehouse respectively, so that the service life of the blowout preventer control device can be estimated.
For example, when the blowout preventer control apparatus 1 is shipped from 2021 year, 12 month, 1 day, and a worker purchases the blowout preventer control apparatus 1 on 2022 year, 1 day, that is, when the warehousing date is 2022 year, 1 month, 1 day, and on 2022 year, 1 month, 20 days, the log of shipment of the blowout preventer control apparatus 1 is detected, the blowout preventer control apparatus 1 starts to be used on 2022 year, 1 month, 20 days, and the time period from 2022 year, 1 month, 20 days to this day is the use time period of the blowout preventer control apparatus 1.
Step S10422, obtaining a past maintenance record of the blowout preventer control apparatus.
For the embodiment of the application, the electronic equipment records and stores the maintenance records of the blowout preventer control device all the time, and analyzes the maintenance records all the time. During operation of blowout preventer controls, maintenance of oil leaks may result from the aging and wear of seals in the blowout preventer controls, or maintenance may result from improper use by personnel, and the electronics store maintenance time, maintenance personnel, and the reason for the maintenance.
And step S10423, estimating the service life information of the blowout preventer control device based on the service life of the blowout preventer control device and the past maintenance records.
For the embodiment of the application, the service life information of the blowout preventer control device can be estimated jointly through the delivery date, the warehousing date, the ex-warehouse date and the past maintenance record. Generally, the shorter the length of use, the fewer the number of repairs, and the longer the life of the blowout preventer control.
In a possible implementation manner of the embodiment of the present application, the method may further include: step S105 (not shown) and step S106 (not shown), wherein step S105 (not shown) and step S106 (not shown) may be performed after step S104, wherein,
step S105, sending the blowout preventer control device leakage information to the worker.
For the embodiment of the application, leakage information is sent to the staff: the account numbers of all the workers can be obtained in advance, and the position information corresponding to each worker can be obtained. For example, the worker 1 is responsible for the inspection of the blowout preventer control devices, the worker 2 is responsible for the maintenance of the blowout preventer control devices, and the worker 3 is responsible for the statistics of the blowout preventer control devices. When a blowout preventer control device leaks, a leak message is sent to the worker 2.
And S106, estimating leakage amount information generated in the maintenance process.
For the embodiment of the application, the time length of the staff arriving at the maintenance place can be estimated by acquiring the maintenance place and the working place of the staff based on the maintenance place and the working place of the staff, the maintenance time length of the staff can be estimated based on leakage information, and the leakage amount generated in the maintenance process can be estimated based on the time length of the staff arriving at the maintenance place and the maintenance time length of the staff.
Further, a collecting device may be previously installed at the leakage position to collect the amount of the leaked oil.
The above embodiment introduces a method for monitoring a failure of a blowout preventer control device in a method flow manner, and the following embodiment introduces a device for monitoring a failure of a blowout preventer control device from a virtual perspective, which is specifically described in the following embodiment:
the embodiment of the present application provides a blowout preventer control device fault monitoring apparatus, as shown in fig. 2, the blowout preventer control device fault monitoring apparatus 20 may specifically include:
an obtaining module 201, configured to obtain sound data collected by a sound collection device installed in the blowout preventer control apparatus;
the judging module 202 is used for judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collecting equipment;
the determining module 203 is configured to determine leakage information of the blowout preventer control apparatus if the blowout preventer control apparatus leaks, where the leakage information includes position information and leakage amount information;
and a failure prediction module 204, configured to perform failure prediction on the blowout preventer control apparatus if the blowout preventer control apparatus is not leaking.
In another possible implementation manner of the embodiment of the present application, the determining module 202 is specifically configured to, when determining whether the blowout preventer control device leaks based on the sound data collected by the sound collecting device:
performing framing processing on sound data acquired by sound acquisition equipment to obtain a voice signal;
separating the voice signals, and determining the strength value of the separated voice signals, wherein the separated voice signals are the voice signals of the blowout preventer control device;
and judging whether the blowout preventer control device leaks or not based on the strength value of the separated voice signal.
In another possible implementation manner of the embodiment of the present application, the determining module 202 is specifically configured to, when performing framing processing on the sound data collected by the sound collecting device to obtain a speech signal:
sampling the sound data to obtain sampled sound data;
determining a spectrogram of the sampled sound data to obtain a voice signal.
In another possible implementation manner of the embodiment of the present application, when the determining module 203 determines the leakage information of the blowout preventer control apparatus if the blowout preventer control apparatus leaks, the determining module is specifically configured to:
acquiring phase information of a voice signal, and determining leakage position information of the blowout preventer control device based on the phase information of the voice signal;
the method comprises the steps of obtaining vibration signals collected by a pressure sensor installed in a blowout preventer control device, and determining the diameter of a leakage hole and leakage amount information based on the vibration signals.
In another possible implementation manner of the embodiment of the present application, the failure prediction module 204 is specifically configured to, when performing failure prediction on the blowout preventer control apparatus if the blowout preventer control apparatus is not leaked:
acquiring blowout preventer control device information and past fault data;
and generating a fault prediction model based on the information of the control device of the blowout preventer and the past fault data.
And performing fault prediction on the blowout preventer control device based on the anti-fault prediction model.
In another possible implementation manner of the embodiment of the present application, when obtaining the information of the blowout preventer control apparatus, the failure prediction module 204 is specifically configured to:
acquiring the delivery date and the warehouse-in and warehouse-out date of the blowout preventer control device, and estimating the service life of the blowout preventer control device;
acquiring the previous maintenance record of the blowout preventer control device;
and estimating the service life information of the blowout preventer control device based on the delivery date, the warehouse entry date and the past maintenance record of the blowout preventer control device.
In another possible implementation manner of the embodiment of the present application, the apparatus further includes: a sending module and an estimation module, wherein,
the sending module is used for sending the leakage information of the blowout preventer control device to workers;
and the estimation module is used for estimating leakage amount information generated in the maintenance process.
The embodiment of the application provides a preventer control device fault monitoring device, through adopting above-mentioned technical scheme, the sound data that the sound collection equipment gathered can be acquireed to the acquisition module, and carry out the analysis to the sound data, judge whether the module judges preventer control device reveals, whether installation oil leak sensor has been saved from this, look over the step of oil leak sensor, when preventer control device breaks down, confirm the module and determine preventer control device's information such as position of revealing and leakage amount, so that inform the staff and carry out operations such as maintenance, when preventer control device does not break down, the fault prediction module carries out the fault prediction to preventer control device, in order to reduce the possibility that economic loss was brought in preventer control device breaking down, be convenient for carry out fault monitoring to preventer control device from this.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In an embodiment of the present application, there is also provided an electronic device, as shown in fig. 3, where the electronic device 30 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein processor 301 is coupled to memory 303, such as via bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 30 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a car terminal (e.g., car navigation terminal), etc., and a fixed terminal such as a digital TV, a desktop computer, etc., may also be a server, etc. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, this application embodiment can acquire the sound data that sound collection equipment gathered, and carry out the analysis to sound data, whether take place to reveal with judging preventer control device, installation oil leak sensor has been saved from this, look over the step of oil leak sensor, when preventer control device breaks down, determine information such as preventer control device's the position of revealing and leakage amount, in order to inform the staff and carry out operations such as maintenance, when preventer control device does not break down, then carry out the fault prediction to preventer control device, in order to reduce the possibility that preventer control device breaks down and brings economic loss, be convenient for carry out fault monitoring to preventer control device from this.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless otherwise indicated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A method of monitoring a blowout preventer control apparatus for faults, comprising:
acquiring sound data acquired by sound acquisition equipment installed in a blowout preventer control device;
judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collection equipment;
if the blowout preventer control device leaks, determining leakage information of the blowout preventer control device, wherein the leakage information comprises position information and leakage amount information;
and if the blowout preventer control device does not leak, predicting the failure of the blowout preventer control device.
2. The method for monitoring the fault of the blowout preventer control device according to claim 1, wherein the step of judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collection equipment comprises the following steps:
performing framing processing on the sound data acquired by the sound acquisition equipment to obtain a voice signal;
separating the voice signals, and determining the strength value of the separated voice signals, wherein the separated voice signals are the voice signals of the blowout preventer control device;
and judging whether the blowout preventer control device leaks or not based on the strength value of the separated voice signal.
3. The blowout preventer control device fault monitoring method according to claim 2, wherein the framing the sound data collected by the sound collection apparatus to obtain a voice signal comprises:
sampling the sound data to obtain sampled sound data;
and determining a spectrogram of the sampled sound data to obtain a voice signal.
4. The method of monitoring a failure of a blowout preventer control apparatus according to claim 3, wherein determining the leak information of the blowout preventer control apparatus if the blowout preventer control apparatus leaks comprises:
acquiring phase information of a voice signal, and determining leakage position information of the blowout preventer control device based on the phase information of the voice signal;
the method comprises the steps of obtaining vibration signals collected by a pressure sensor installed in a blowout preventer control device, and determining the diameter of a leakage hole and leakage amount information based on the vibration signals.
5. The method of monitoring a failure of a blowout preventer control apparatus according to claim 1, wherein the predicting the failure of the blowout preventer control apparatus if the blowout preventer control apparatus is not leaking comprises:
acquiring blowout preventer control device information and past fault data;
generating a fault prediction model based on the blowout preventer control device information and the historical fault data;
and performing fault prediction on the blowout preventer control device based on the anti-fault prediction model.
6. The blowout preventer control device fault monitoring method according to claim 5, wherein the obtaining blowout preventer control device information comprises:
acquiring the delivery date and the warehouse-in and warehouse-out date of the blowout preventer control device, and estimating the service life of the blowout preventer control device;
acquiring the previous maintenance record of the blowout preventer control device;
and estimating the service life information of the blowout preventer control device based on the service life of the blowout preventer control device and the previous maintenance record.
7. The method of monitoring a failure of a blowout preventer control apparatus according to claim 1, wherein the determining of the information about the leakage of the blowout preventer control apparatus if the blowout preventer control apparatus is leaking further comprises:
sending blowout preventer control device leakage information to staff;
and estimating leakage amount information generated in the maintenance process.
8. A blowout preventer control apparatus fault monitoring apparatus, comprising:
the acquisition module is used for acquiring sound data acquired by sound acquisition equipment installed in the blowout preventer control device;
the judging module is used for judging whether the blowout preventer control device leaks or not based on the sound data collected by the sound collecting equipment;
the determining module is used for determining leakage information of the blowout preventer control device if the blowout preventer control device leaks, wherein the leakage information comprises position information and leakage amount information;
and the failure prediction module is used for predicting the failure of the blowout preventer control device if the blowout preventer control device does not leak.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: executing a blowout preventer control device fault monitoring method according to any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the program, when executed by a processor, implements a blowout preventer control device fault monitoring method according to any one of claims 1 to 7.
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| CN202210075189.5A CN114439405A (en) | 2022-01-22 | 2022-01-22 | Fault monitoring method, device, equipment and medium for blowout preventer control device |
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| CN202210075189.5A CN114439405A (en) | 2022-01-22 | 2022-01-22 | Fault monitoring method, device, equipment and medium for blowout preventer control device |
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